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description Publicationkeyboard_double_arrow_right Part of book or chapter of book , Other literature type 2023Publisher:IntechOpen Jannatul Ferdous; Farah Mahjabin; Mohammad Abdullah al Asif; Israt Jahan Riza; M. M. R. Jahangir;The world is confronted with one of the most difficult tasks of the twenty-first century, satisfying society’s expanding food demands while causing agriculture’s environmental impacts. Rice security is the food security for South Asian countries. Rice production requires a large amount of water and fertilizer, especially nitrogenous fertilizer, where urea works as the primary source of nitrogen (N). Different biogeochemical conditions, such as alternate wetting and drying (AWD), intermittent drainage, agroclimatic conditions, oxic-anoxic condition, complete flooded irrigation,. have severe impacts on GHGs emission and nitrogen use efficiency (NUE) from rice fields. For sustainable production, it is a must to mitigate the emissions of GHGs and increase NUE along with cost minimization. But analytically accurate data about these losses are still not quantifiably justified. In this chapter, we will show the proper use of the measured data with suitable results and discussions to recommend the future cultivation system of rice for sustainable production.
InTech arrow_drop_down InTechPart of book or chapter of book . 2023Full-Text: https://www.intechopen.com/books/Data sources: InTechhttps://doi.org/10.5772/intech...Part of book or chapter of book . 2023 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5772/intechopen.108406&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!
more_vert InTech arrow_drop_down InTechPart of book or chapter of book . 2023Full-Text: https://www.intechopen.com/books/Data sources: InTechhttps://doi.org/10.5772/intech...Part of book or chapter of book . 2023 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5772/intechopen.108406&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Part of book or chapter of book , Other literature type 2021Embargo end date: 08 Apr 2024 FrancePublisher:Springer International Publishing Publicly fundedMohammad Zaman; Kristina Kleineidam; Lars R. Bakken; Jacqueline Berendt; Conor Bracken; Klaus Butterbach‐Bahl; Zeyu Cai; Scott X. Chang; Timothy J. Clough; Khadim Dawar; Wenyong Ding; Peter Dörsch; M. dos Reis Martins; C. Eckhardt; Sebastian Fiedler; Torsten Frosch; J. P. Goopy; Carolyn-Monika Görres; Apoorv Gupta; S. Henjes; Magdalena E. G. Hofmann; Marcus A. Horn; M. M. R. Jahangir; Anne Jansen-Willems; Katharina Lenhart; Lee Heng; Dominika Lewicka‐Szczebak; G. Lucic; Lutz Merbold; Joachim Mohn; Lars Molstad; Gerald M. Moser; Paul Murphy; Alberto Sanz-Cobeña; Miloslav Šimek; Segundo Urquiaga; Reinhard Well; Nicole Wrage‐Mönnig; Shahriar Zaman; J. Zhang; Christoph Müller;handle: 10568/129353
AbstractAgriculture is a significant source of GHGsglobally and ruminant livestock animals are one of the largest contributors to these emissions, responsible for an estimated 14% of GHGs (CH4and N2O combined) worldwide. A large portion of GHG fluxes from agricultural activities is related to CH4 emissions from ruminants. Both direct and indirect methods are available. Direct methods include enclosure techniques, artificial (e.g. SF6) or natural (e.g. CO2) tracer techniques, and micrometeorological methods using open-path lasers. Under the indirect methods, emission mechanisms are understood, where the CH4 emission potential is estimated based on the substrate characteristics and the digestibility (i.e. from volatile fatty acids). These approximate methods are useful if no direct measurement is possible. The different systems used to quantify these emission potentials are presented in this chapter. Also, CH4 from animal waste (slurry, urine, dung) is an important source: methods pertaining to measuring GHG potential from these sources are included.
CGIAR CGSpace (Consu... arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Part of book or chapter of book . 2023License: CC BYFull-Text: https://hdl.handle.net/10568/129353Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.1007/978-3-...Part of book or chapter of book . 2021 . Peer-reviewedData sources: Crossrefhttps://link.springer.com/cont...Part of book or chapter of bookLicense: CC BYData sources: UnpayWallhttps://dx.doi.org/10.15488/16...Part of book or chapter of book . 2021License: CC BYData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/978-3-030-55396-8_6&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!
more_vert CGIAR CGSpace (Consu... arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Part of book or chapter of book . 2023License: CC BYFull-Text: https://hdl.handle.net/10568/129353Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.1007/978-3-...Part of book or chapter of book . 2021 . Peer-reviewedData sources: Crossrefhttps://link.springer.com/cont...Part of book or chapter of bookLicense: CC BYData sources: UnpayWallhttps://dx.doi.org/10.15488/16...Part of book or chapter of book . 2021License: CC BYData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/978-3-030-55396-8_6&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2016Embargo end date: 20 Sep 2018 IrelandPublisher:Copernicus GmbH Publicly fundedFunded by:IRCIRCPaul Johnston; Mark G. Healy; Christoph Müller; Christoph Müller; Laurence Gill; Mohammad M. R. Jahangir; Owen Fenton; Karl G. Richards;handle: 10379/12068 , 11019/946
Abstract. The removal efficiency of carbon (C) and nitrogen (N) in constructed wetlands (CWs) is very inconsistent and frequently does not reveal whether the removal processes are due to physical attenuation or whether the different species have been transformed to other reactive forms. Previous research on nutrient removal in CWs did not consider the dynamics of pollution swapping (the increase of one pollutant as a result of a measure introduced to reduce a different pollutant) driven by transformational processes within and around the system. This paper aims to address this knowledge gap by reviewing the biogeochemical dynamics and fate of C and N in CWs and their potential impact on the environment, and by presenting novel ways in which these knowledge gaps may be eliminated. Nutrient removal in CWs varies with the type of CW, vegetation, climate, season, geographical region, and management practices. Horizontal flow CWs tend to have good nitrate (NO3−) removal, as they provide good conditions for denitrification, but cannot remove ammonium (NH4+) due to limited ability to nitrify NH4+. Vertical flow CWs have good NH4+ removal, but their denitrification ability is low. Surface flow CWs decrease nitrous oxide (N2O) emissions but increase methane (CH4) emissions; subsurface flow CWs increase N2O and carbon dioxide (CO2) emissions, but decrease CH4 emissions. Mixed species of vegetation perform better than monocultures in increasing C and N removal and decreasing greenhouse gas (GHG) emissions, but empirical evidence is still scarce. Lower hydraulic loadings with higher hydraulic retention times enhance nutrient removal, but more empirical evidence is required to determine an optimum design. A conceptual model highlighting the current state of knowledge is presented and experimental work that should be undertaken to address knowledge gaps across CWs, vegetation and wastewater types, hydraulic loading rates and regimes, and retention times, is suggested. We recommend that further research on process-based C and N removal and on the balancing of end products into reactive and benign forms is critical to the assessment of the environmental performance of CWs.
National University ... arrow_drop_down National University of Ireland (NUI), Galway: ARANArticle . 2016License: CC BY NC NDFull-Text: http://hdl.handle.net/10379/12068Data sources: Bielefeld Academic Search Engine (BASE)Hydrology and Earth System Sciences (HESS)Article . 2016 . Peer-reviewedLicense: CC BYData sources: CrossrefUniversity of Galway Research RepositoryArticle . 2016License: CC BY NC NDData sources: University of Galway Research Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/hess-20-109-2016&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 65 citations 65 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert National University ... arrow_drop_down National University of Ireland (NUI), Galway: ARANArticle . 2016License: CC BY NC NDFull-Text: http://hdl.handle.net/10379/12068Data sources: Bielefeld Academic Search Engine (BASE)Hydrology and Earth System Sciences (HESS)Article . 2016 . Peer-reviewedLicense: CC BYData sources: CrossrefUniversity of Galway Research RepositoryArticle . 2016License: CC BY NC NDData sources: University of Galway Research Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/hess-20-109-2016&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022 AustraliaPublisher:Frontiers Media SA Publicly fundedM. M. R. Jahangir; R. W. Bell; S. Uddin; J. Ferdous; S. S. Nasreen; S. S. Nasreen; M. E. Haque; M. A. Satter; M. Zaman; W. Ding; M. Jahiruddin; C. Müller; C. Müller;Wetland rice cultivation contributes significantly to global warming potential (GWP), an effect which is largely attributed to emissions of methane (CH4). Emerging technologies for wetland rice production such as conservation agriculture (CA) may mitigate greenhouse gas (GHG) emissions, but the effects are not well defined. Investigations were carried out in an irrigated rice (Boro rice) field in the fifth crop after conversion of conventional tillage (CT) to strip tillage (ST). Two crop residue levels (low versus high, LR versus HR) and three nitrogen (N) application rates (N1 = 108, N2 = 144, and N3 = 180 kg N ha−1) were laid out in a split-plot experiment with three replicates. Yield-scaled GHG emissions and GWP were estimated to evaluate the impacts of CA on mitigating CH4 and N2O emissions in the rice paddy field. There was a 55% higher N2O emission in ST with HR coupled with N3 than that in CT with LR coupled with N1. The N2O emission factors ranged from 0.43 to 0.75% in ST and 0.45 to 0.59% in CT, irrespective of the residue level and N rate. By contrast, CH4 emissions were significantly lower in CA than in the conventional practices (CT plus LR). The ST with LR in N2 reduced the GWP by 39% over the GWP in CT with HR in N1 and 16% over the conventional practices. Based on our investigation of the combination of tillage, residue, and N rate treatments, the adoption of CA with high and low residue levels reduced the GWP by 10 and 16%, respectively, because of lower CH4 and N2O emissions than the current management practices. The relatively high N2O emission factors suggest that mitigation of this GHG in wetland rice systems needs greater attention.
Frontiers in Environ... arrow_drop_down Frontiers in Environmental ScienceArticle . 2022 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3389/fenvs.2022.853655&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 9 citations 9 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Frontiers in Environ... arrow_drop_down Frontiers in Environmental ScienceArticle . 2022 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3389/fenvs.2022.853655&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2023 Sweden, Australia, United States, AustraliaPublisher:Springer Science and Business Media LLC Publicly fundedFunded by:NSERC, EC | METLAKE, NSF | Graduate Research Fellows...NSERC ,EC| METLAKE ,NSF| Graduate Research Fellowship Program (GRFP)Sheel Bansal; Irena F. Creed; Brian A. Tangen; Scott D. Bridgham; Ankur R. Desai; Ken W. Krauss; Scott C. Neubauer; Gregory B. Noe; Donald O. Rosenberry; Carl Trettin; Kimberly P. Wickland; Scott T. Allen; Ariane Arias‐Ortiz; Anna R. Armitage; Dennis Baldocchi; Kakoli Banerjee; David Bastviken; Peter Berg; Matthew J. Bogard; Alex T. Chow; William H. Conner; Christopher Craft; Courtney A. Creamer; Tonya DelSontro; Jamie A. Duberstein; M. E. Gonneea; M. Siobhan Fennessy; Sarah A. Finkelstein; Mathias Goeckede; Sabine Grunwald; Meghan Halabisky; Ellen R. Herbert; M. M. R. Jahangir; Olivia F. Johnson; Miriam C. Jones; Jeffrey J. Kelleway; Sara Knox; Kevin D. Kroeger; Kevin A. Kuehn; David A. Lobb; Amanda L. Loder; Shizhou Ma; Damien T. Maher; Gavin McNicol; Jacob Meier; Beth A. Middleton; Christopher T. Mills; Purbasha Mistry; Abhijit Mitra; Courtney Mobilian; Amanda M. Nahlik; Susan Newman; Jessica L. O'Connell; Patricia Y. Oikawa; Max Post van der Burg; Charles A. Schutte; Chunqiao Song; Camille L. Stagg; Jess Turner; Rodrigo Vargas; Mark P. Waldrop; Marcus B. Wallin; Zhaohui Aleck Wang; Eric J. Ward; Debra A. Willard; Stephanie A. Yarwood; Xianghong Zhu;pmid: 38037553
pmc: PMC10684704
AbstractWetlands cover a small portion of the world, but have disproportionate influence on global carbon (C) sequestration, carbon dioxide and methane emissions, and aquatic C fluxes. However, the underlying biogeochemical processes that affect wetland C pools and fluxes are complex and dynamic, making measurements of wetland C challenging. Over decades of research, many observational, experimental, and analytical approaches have been developed to understand and quantify pools and fluxes of wetland C. Sampling approaches range in their representation of wetland C from short to long timeframes and local to landscape spatial scales. This review summarizes common and cutting-edge methodological approaches for quantifying wetland C pools and fluxes. We first define each of the major C pools and fluxes and provide rationale for their importance to wetland C dynamics. For each approach, we clarify what component of wetland C is measured and its spatial and temporal representativeness and constraints. We describe practical considerations for each approach, such as where and when an approach is typically used, who can conduct the measurements (expertise, training requirements), and how approaches are conducted, including considerations on equipment complexity and costs. Finally, we review key covariates and ancillary measurements that enhance the interpretation of findings and facilitate model development. The protocols that we describe to measure soil, water, vegetation, and gases are also relevant for related disciplines such as ecology. Improved quality and consistency of data collection and reporting across studies will help reduce global uncertainties and develop management strategies to use wetlands as nature-based climate solutions.
University of Califo... arrow_drop_down University of California: eScholarshipArticle . 2023License: CC BYFull-Text: https://escholarship.org/uc/item/15b835k7Data sources: Bielefeld Academic Search Engine (BASE)Publikationer från Linköpings universitetArticle . 2023 . Peer-reviewedData sources: Publikationer från Linköpings universiteteScholarship - University of CaliforniaArticle . 2023Data sources: eScholarship - University of CaliforniaUniversity of Wollongong, Australia: Research OnlineArticle . 2023Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s13157-023-01722-2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 23 citations 23 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert University of Califo... arrow_drop_down University of California: eScholarshipArticle . 2023License: CC BYFull-Text: https://escholarship.org/uc/item/15b835k7Data sources: Bielefeld Academic Search Engine (BASE)Publikationer från Linköpings universitetArticle . 2023 . Peer-reviewedData sources: Publikationer från Linköpings universiteteScholarship - University of CaliforniaArticle . 2023Data sources: eScholarship - University of CaliforniaUniversity of Wollongong, Australia: Research OnlineArticle . 2023Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s13157-023-01722-2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Part of book or chapter of book , Other literature type 2021Embargo end date: 08 Apr 2024 FrancePublisher:Springer International Publishing Publicly fundedMohammad Zaman; Kristina Kleineidam; Lars R. Bakken; Jacqueline Berendt; Conor Bracken; Klaus Butterbach‐Bahl; Zucong Cai; Scott X. Chang; Timothy J. Clough; Khadim Dawar; Weixin Ding; Peter Dörsch; M. dos Reis Martins; C. Eckhardt; Sebastian Fiedler; Torsten Frosch; J. P. Goopy; Carolyn-Monika Görres; Anshu Gupta; S. Henjes; Magdalena E. G. Hofmann; Marcus A. Horn; M. M. R. Jahangir; Anne Jansen-Willems; Katharina Lenhart; Lee Heng; Dominika Lewicka‐Szczebak; G. Lucic; Lutz Merbold; Joachim Mohn; Lars Molstad; Gerald M. Moser; Paul Murphy; Alberto Sanz-Cobeña; Miloslav Šimek; Segundo Urquiaga; Reinhard Well; Nicole Wrage‐Mönnig; Shahriar Zaman; J. Zhang; Christoph Müller;handle: 10568/129354
AbstractSoils harbour diverse soil faunaand a wide range of soil microorganisms. These fauna and microorganisms directly contribute to soil greenhouse gas (GHG) fluxes via their respiratory and metabolic activities and indirectly by changing the physical, chemical and biological properties of soils through bioturbation, fragmentation and redistribution of plant residues, defecation, soil aggregate formation, herbivory, and grazing on microorganisms and fungi. Based on recent results, the methods and results found in relation to fauna as well as from fungi and plants are presented. The approaches are outlined, and the significance of these hitherto ignored fluxes is discussed.
CGIAR CGSpace (Consu... arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Part of book or chapter of book . 2023License: CC BYFull-Text: https://hdl.handle.net/10568/129354Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.1007/978-3-...Part of book or chapter of book . 2021 . Peer-reviewedData sources: Crossrefhttps://link.springer.com/cont...Part of book or chapter of bookLicense: CC BYData sources: UnpayWallhttps://dx.doi.org/10.15488/16...Part of book or chapter of book . 2021License: CC BYData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/978-3-030-55396-8_5&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!
more_vert CGIAR CGSpace (Consu... arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Part of book or chapter of book . 2023License: CC BYFull-Text: https://hdl.handle.net/10568/129354Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.1007/978-3-...Part of book or chapter of book . 2021 . Peer-reviewedData sources: Crossrefhttps://link.springer.com/cont...Part of book or chapter of bookLicense: CC BYData sources: UnpayWallhttps://dx.doi.org/10.15488/16...Part of book or chapter of book . 2021License: CC BYData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/978-3-030-55396-8_5&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2021Publisher:Public Library of Science (PLoS) Authors: Rafeza Begum; Mohammad Mofizur Rahman Jahangir; M. Jahiruddin; Md. Rafiqul Islam; +5 AuthorsRafeza Begum; Mohammad Mofizur Rahman Jahangir; M. Jahiruddin; Md. Rafiqul Islam; Md. Taiabur Rahman; Md. Lutfar Rahman; Md. Younus Ali; Md. Baktear Hossain; Khandakar Rafiq Islam;Nitrogen (N) is the prime nutrient for crop production and carbon-based functions associated with soil quality. The objective of our study (2012 to 2019) was to evaluate the impact of variable rates of N fertilization on soil organic carbon (C) pools and their stocks, stratification, and lability in subtropical wheat (Triticum aestivum)—mungbean (Vigna radiata)—rice (Oryza sativa L) agroecosystems. The field experiment was conducted in a randomized complete block design (RCB) with N fertilization at 60, 80, 100, 120, and 140% of the recommended rates of wheat (100 kg/ha), mungbean (20 kg/ha), and rice (80 kg/ha), respectively. Composite soils were collected at 0–15 and 15–30 cm depths from each replicated plot and analyzed for microbial biomass (MBC), basal respiration (BR), total organic C (TOC), particulate organic C (POC), permanganate oxidizable C (POXC), carbon lability indices, and stratification. N fertilization (120 and 140%) significantly increased the POC at both depths; however, the effect was more pronounced in the surface layer. Moreover, N fertilization (at 120% and 140%) significantly increased the TOC and labile C pools when compared to the control (100%) and the lower rates (60 and 80%). N fertilization significantly increased MBC, C pool (CPI), lability (CLI), and management indices (CMI), indicating improved and efficient soil biological activities in such systems. The MBC and POC stocks were significantly higher with higher rates of N fertilization (120% and 140%) than the control. Likewise, higher rates of N fertilization significantly increased the stocks of labile C pools. Equally, the stratification values for POC, MBC, and POXC show evidence of improved soil quality because of optimum N fertilization (120–140%) to maintain and/or improve soil quality under rice-based systems in subtropical climates.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1371/journal.pone.0256397&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 11 citations 11 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1371/journal.pone.0256397&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Part of book or chapter of book , Other literature type 2021 FrancePublisher:Springer International Publishing Publicly fundedMohammad Zaman; Kristina Kleineidam; Lars R. Bakken; Jacqueline Berendt; Conor Bracken; Klaus Butterbach‐Bahl; Zucong Cai; Scott X. Chang; Tim J. Clough; Khadim Dawar; Weixin Ding; Peter Dörsch; M. dos Reis Martins; C. Eckhardt; Sebastian Fiedler; Torsten Frosch; J. P. Goopy; Carolyn-Monika Görres; Anshu Gupta; S. Henjes; Magdalena E. G. Hofmann; Marcus A. Horn; M. M. R. Jahangir; Anne Jansen-Willems; Katharina Lenhart; Lee Heng; Dominika Lewicka‐Szczebak; G. Lucic; Lutz Merbold; Joachim Mohn; Lars Molstad; Gerald M. Moser; Paul Murphy; Alberto Sanz-Cobeña; Miloslav Šimek; Segundo Urquiaga; Reinhard Well; Nicole Wrage‐Mönnig; Shahriar Zaman; J. Zhang; Christoph Müller;handle: 10568/129511
AbstractMethods and techniques are described for automated measurements of greenhouse gases (GHGs) in both the laboratory and the field. Robotic systems are currently available to measure the entire range of gases evolved from soils including dinitrogen (N2). These systems usually work on an exchange of the atmospheric N2with helium (He) so that N2 fluxes can be determined. Laboratory systems are often used in microbiology to determine kinetic response reactions via the dynamics of all gaseous N species such as nitric oxide (NO), nitrous oxide (N2O), and N2. Latest He incubation techniques also take plants into account, in order to study the effect of plant–soil interactions on GHGsand N2 production. The advantage of automated in-field techniques is that GHG emission rates can be determined at a high temporal resolution. This allows, for instance, to determine diurnal response reactions (e.g. with temperature) and GHG dynamics over longer time periods.
CGIAR CGSpace (Consu... arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Part of book or chapter of book . 2023License: CC BYFull-Text: https://hdl.handle.net/10568/129511Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.1007/978-3-...Part of book or chapter of book . 2021 . Peer-reviewedData sources: Crossrefhttps://link.springer.com/cont...Part of book or chapter of bookLicense: CC BYData sources: UnpayWalladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/978-3-030-55396-8_3&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 4 citations 4 popularity Top 10% influence Average impulse Average Powered by BIP!
more_vert CGIAR CGSpace (Consu... arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Part of book or chapter of book . 2023License: CC BYFull-Text: https://hdl.handle.net/10568/129511Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.1007/978-3-...Part of book or chapter of book . 2021 . Peer-reviewedData sources: Crossrefhttps://link.springer.com/cont...Part of book or chapter of bookLicense: CC BYData sources: UnpayWalladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/978-3-030-55396-8_3&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2012 IrelandPublisher:Elsevier BV Publicly fundedJahangir, Mohammad M. R.; Johnston, Paul; Khalil, Mohammed I.; Grant, Jim; Somers, Cathal; Richards, Karl G.;The objective of the study was to evaluate the different headspace equilibration methods for the quantification of dissolved greenhouse gases in groundwater. Groundwater samples were collected from wells with contrasting hydrogeochemical properties and degassed using the headspace equilibration method. One hundred samples from each well were randomly selected, treatments were applied and headspace gases analysed by gas chromatography. Headspace equilibration treatments varied helium (He):water ratio, shaking time and standing time. Mean groundwater N(2)O, CO(2) and CH(4) concentrations were 0.024 mg N L(-1), 13.71 mg C L(-1) and 1.63 μg C L(-1), respectively. All treatments were found to significantly influence dissolved gas concentrations. Considerable differences in the optimal He:water ratio and standing time were observed between the three gases. For N(2)O, CO(2) and CH(4) the optimum operating points for He:water ratio was 4.4:1, 3:1 and 3.4:1; shaking time was 13, 12 and 13 min; and standing time was 63, 17 and 108 min, respectively. The headspace equilibration method needs to be harmonised to ensure comparability between studies. The experiment reveals that He:water ratio 3:1 and shaking time 13 min give better estimation of dissolved gases than any lower or higher ratios and shaking times. The standing time 63, 17 and 108 min should be applied for N(2)O, CO(2) and CH(4), respectively.
Journal of Environme... arrow_drop_down Journal of Environmental ManagementArticle . 2012 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.jenvman.2012.06.033&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 36 citations 36 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Journal of Environme... arrow_drop_down Journal of Environmental ManagementArticle . 2012 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.jenvman.2012.06.033&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2012Embargo end date: 20 Sep 2018 Ireland, Ireland, Ireland, United KingdomPublisher:Elsevier BV Publicly fundedPaul Johnston; Vincent O'Flaherty; Karl G. Richards; Maria Barrett; M. I. Khalil; M. I. Khalil; Laura M. Cardenas; Mohammad M. R. Jahangir; Mohammad M. R. Jahangir; D. J. Hatch; Mark Butler;handle: 10379/12067 , 11019/416
Understanding subsurface denitrification potential will give greater insights into landscape nitrate (NO3−) delivery to groundwater and indirect nitrous oxide (N2O) emissions to the atmosphere. Potential denitrification rates and ratios of N2O/(N2O + N2) were investigated in intact soil cores collected from 0–0.10, 0.45–0.55 and 1.20–1.30 m depths representing A, B and C soil horizons, respectively from three randomly selected locations within a single intensively managed grazed grassland plot in south eastern Ireland. The soil was moderately well drained with textures ranging from loam to clay loam (gleysol) in the A to C horizon. An experiment was carried out by amending soils from each horizon with (i) 90 mg NO3−–N as KNO3, (ii) 90 mg NO3−–N + 150 mg glucose-C, (iii) 90 mg NO3−–N + 150 mg DOC (dissolved organic carbon, prepared using top soil of intensively managed grassland) kg−1 dry soil. An automated laboratory incubation system was used to measure simultaneously N2O and N2, at 15 °C, with the moisture content raised by 3% (by weight) above the moisture content at field capacity (FC), giving a water-filled pore space (WFPS) of 80, 85 and 88% in the A, B and C horizons, respectively. There was a significant effect (p < 0.01) of soil horizon and added carbon on cumulative N2O emissions. N2O emissions were higher from the A than the B and C horizons and were significantly lower from soils that received only nitrate than soils that received NO3− + either of the C sources. The two C sources gave similar N2O emissions. The N2 fluxes differed significantly (p < 0.05) only between the A and C horizons. During a 17-day incubation, total denitrification losses of the added N decreased significantly (p < 0.01) with soil depth and were increased by the addition of either C source. The fraction of the added N lost from each horizon were A: 25, 61, 45%; B: 12, 29, 28.5% and C: 4, 20, 18% for nitrate, nitrate + glucose-C and nitrate + DOC, respectively. The ratios of N2O to N2O + N2 differed significantly (p < 0.05) only between soil horizons, being higher in the A (0.58–0.75) than in the deeper horizons (0.10–0.36 in B and 0.06–0.24 in C), clearly indicating the potential of subsoils for a more complete reduction of N2O to N2. Stepwise multiple regression analysis revealed that N2O flux increased with total organic C and total N but decreased with NO3−–N which together explained 88% of the variance (p < 0.001). The N2 flux was best explained (R2 = 0.45, p < 0.01) by soluble organic nitrogen (SON) (positive) and with NO3−–N (negative). Stepwise multiple regression revealed a best fit for total denitrification rates which were positive for total C and negative for NO3−–N with the determination coefficient of 0.76 (p < 0.001). The results suggest that without C addition, potential denitrification rate below the root zone was low. Therefore, the added C sources in subsoils can satisfactorily increase nitrate depletion via denitrification where the mole fraction of N2O would be further reduced to N2 during diffusional transport through the soil profile to the atmosphere and/or to groundwater. Subsoil denitrification can be accelerated either through introducing C directly into permeable reactive barriers and/or indirectly, by irrigating dirty water and manipulating agricultural plant composition and diversity.
National University ... arrow_drop_down National University of Ireland (NUI), Galway: ARANArticle . 2012License: CC BY NC NDFull-Text: http://hdl.handle.net/10379/12067Data sources: Bielefeld Academic Search Engine (BASE)Agriculture Ecosystems & EnvironmentArticle . 2012 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefUniversity of Galway Research RepositoryArticle . 2012License: CC BY NC NDData sources: University of Galway Research Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.agee.2011.04.015&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 143 citations 143 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert National University ... arrow_drop_down National University of Ireland (NUI), Galway: ARANArticle . 2012License: CC BY NC NDFull-Text: http://hdl.handle.net/10379/12067Data sources: Bielefeld Academic Search Engine (BASE)Agriculture Ecosystems & EnvironmentArticle . 2012 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefUniversity of Galway Research RepositoryArticle . 2012License: CC BY NC NDData sources: University of Galway Research Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.agee.2011.04.015&type=result"></script>'); --> </script>
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description Publicationkeyboard_double_arrow_right Part of book or chapter of book , Other literature type 2023Publisher:IntechOpen Jannatul Ferdous; Farah Mahjabin; Mohammad Abdullah al Asif; Israt Jahan Riza; M. M. R. Jahangir;The world is confronted with one of the most difficult tasks of the twenty-first century, satisfying society’s expanding food demands while causing agriculture’s environmental impacts. Rice security is the food security for South Asian countries. Rice production requires a large amount of water and fertilizer, especially nitrogenous fertilizer, where urea works as the primary source of nitrogen (N). Different biogeochemical conditions, such as alternate wetting and drying (AWD), intermittent drainage, agroclimatic conditions, oxic-anoxic condition, complete flooded irrigation,. have severe impacts on GHGs emission and nitrogen use efficiency (NUE) from rice fields. For sustainable production, it is a must to mitigate the emissions of GHGs and increase NUE along with cost minimization. But analytically accurate data about these losses are still not quantifiably justified. In this chapter, we will show the proper use of the measured data with suitable results and discussions to recommend the future cultivation system of rice for sustainable production.
InTech arrow_drop_down InTechPart of book or chapter of book . 2023Full-Text: https://www.intechopen.com/books/Data sources: InTechhttps://doi.org/10.5772/intech...Part of book or chapter of book . 2023 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5772/intechopen.108406&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!
more_vert InTech arrow_drop_down InTechPart of book or chapter of book . 2023Full-Text: https://www.intechopen.com/books/Data sources: InTechhttps://doi.org/10.5772/intech...Part of book or chapter of book . 2023 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5772/intechopen.108406&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Part of book or chapter of book , Other literature type 2021Embargo end date: 08 Apr 2024 FrancePublisher:Springer International Publishing Publicly fundedMohammad Zaman; Kristina Kleineidam; Lars R. Bakken; Jacqueline Berendt; Conor Bracken; Klaus Butterbach‐Bahl; Zeyu Cai; Scott X. Chang; Timothy J. Clough; Khadim Dawar; Wenyong Ding; Peter Dörsch; M. dos Reis Martins; C. Eckhardt; Sebastian Fiedler; Torsten Frosch; J. P. Goopy; Carolyn-Monika Görres; Apoorv Gupta; S. Henjes; Magdalena E. G. Hofmann; Marcus A. Horn; M. M. R. Jahangir; Anne Jansen-Willems; Katharina Lenhart; Lee Heng; Dominika Lewicka‐Szczebak; G. Lucic; Lutz Merbold; Joachim Mohn; Lars Molstad; Gerald M. Moser; Paul Murphy; Alberto Sanz-Cobeña; Miloslav Šimek; Segundo Urquiaga; Reinhard Well; Nicole Wrage‐Mönnig; Shahriar Zaman; J. Zhang; Christoph Müller;handle: 10568/129353
AbstractAgriculture is a significant source of GHGsglobally and ruminant livestock animals are one of the largest contributors to these emissions, responsible for an estimated 14% of GHGs (CH4and N2O combined) worldwide. A large portion of GHG fluxes from agricultural activities is related to CH4 emissions from ruminants. Both direct and indirect methods are available. Direct methods include enclosure techniques, artificial (e.g. SF6) or natural (e.g. CO2) tracer techniques, and micrometeorological methods using open-path lasers. Under the indirect methods, emission mechanisms are understood, where the CH4 emission potential is estimated based on the substrate characteristics and the digestibility (i.e. from volatile fatty acids). These approximate methods are useful if no direct measurement is possible. The different systems used to quantify these emission potentials are presented in this chapter. Also, CH4 from animal waste (slurry, urine, dung) is an important source: methods pertaining to measuring GHG potential from these sources are included.
CGIAR CGSpace (Consu... arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Part of book or chapter of book . 2023License: CC BYFull-Text: https://hdl.handle.net/10568/129353Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.1007/978-3-...Part of book or chapter of book . 2021 . Peer-reviewedData sources: Crossrefhttps://link.springer.com/cont...Part of book or chapter of bookLicense: CC BYData sources: UnpayWallhttps://dx.doi.org/10.15488/16...Part of book or chapter of book . 2021License: CC BYData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/978-3-030-55396-8_6&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!
more_vert CGIAR CGSpace (Consu... arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Part of book or chapter of book . 2023License: CC BYFull-Text: https://hdl.handle.net/10568/129353Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.1007/978-3-...Part of book or chapter of book . 2021 . Peer-reviewedData sources: Crossrefhttps://link.springer.com/cont...Part of book or chapter of bookLicense: CC BYData sources: UnpayWallhttps://dx.doi.org/10.15488/16...Part of book or chapter of book . 2021License: CC BYData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/978-3-030-55396-8_6&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2016Embargo end date: 20 Sep 2018 IrelandPublisher:Copernicus GmbH Publicly fundedFunded by:IRCIRCPaul Johnston; Mark G. Healy; Christoph Müller; Christoph Müller; Laurence Gill; Mohammad M. R. Jahangir; Owen Fenton; Karl G. Richards;handle: 10379/12068 , 11019/946
Abstract. The removal efficiency of carbon (C) and nitrogen (N) in constructed wetlands (CWs) is very inconsistent and frequently does not reveal whether the removal processes are due to physical attenuation or whether the different species have been transformed to other reactive forms. Previous research on nutrient removal in CWs did not consider the dynamics of pollution swapping (the increase of one pollutant as a result of a measure introduced to reduce a different pollutant) driven by transformational processes within and around the system. This paper aims to address this knowledge gap by reviewing the biogeochemical dynamics and fate of C and N in CWs and their potential impact on the environment, and by presenting novel ways in which these knowledge gaps may be eliminated. Nutrient removal in CWs varies with the type of CW, vegetation, climate, season, geographical region, and management practices. Horizontal flow CWs tend to have good nitrate (NO3−) removal, as they provide good conditions for denitrification, but cannot remove ammonium (NH4+) due to limited ability to nitrify NH4+. Vertical flow CWs have good NH4+ removal, but their denitrification ability is low. Surface flow CWs decrease nitrous oxide (N2O) emissions but increase methane (CH4) emissions; subsurface flow CWs increase N2O and carbon dioxide (CO2) emissions, but decrease CH4 emissions. Mixed species of vegetation perform better than monocultures in increasing C and N removal and decreasing greenhouse gas (GHG) emissions, but empirical evidence is still scarce. Lower hydraulic loadings with higher hydraulic retention times enhance nutrient removal, but more empirical evidence is required to determine an optimum design. A conceptual model highlighting the current state of knowledge is presented and experimental work that should be undertaken to address knowledge gaps across CWs, vegetation and wastewater types, hydraulic loading rates and regimes, and retention times, is suggested. We recommend that further research on process-based C and N removal and on the balancing of end products into reactive and benign forms is critical to the assessment of the environmental performance of CWs.
National University ... arrow_drop_down National University of Ireland (NUI), Galway: ARANArticle . 2016License: CC BY NC NDFull-Text: http://hdl.handle.net/10379/12068Data sources: Bielefeld Academic Search Engine (BASE)Hydrology and Earth System Sciences (HESS)Article . 2016 . Peer-reviewedLicense: CC BYData sources: CrossrefUniversity of Galway Research RepositoryArticle . 2016License: CC BY NC NDData sources: University of Galway Research Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/hess-20-109-2016&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 65 citations 65 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert National University ... arrow_drop_down National University of Ireland (NUI), Galway: ARANArticle . 2016License: CC BY NC NDFull-Text: http://hdl.handle.net/10379/12068Data sources: Bielefeld Academic Search Engine (BASE)Hydrology and Earth System Sciences (HESS)Article . 2016 . Peer-reviewedLicense: CC BYData sources: CrossrefUniversity of Galway Research RepositoryArticle . 2016License: CC BY NC NDData sources: University of Galway Research Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/hess-20-109-2016&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022 AustraliaPublisher:Frontiers Media SA Publicly fundedM. M. R. Jahangir; R. W. Bell; S. Uddin; J. Ferdous; S. S. Nasreen; S. S. Nasreen; M. E. Haque; M. A. Satter; M. Zaman; W. Ding; M. Jahiruddin; C. Müller; C. Müller;Wetland rice cultivation contributes significantly to global warming potential (GWP), an effect which is largely attributed to emissions of methane (CH4). Emerging technologies for wetland rice production such as conservation agriculture (CA) may mitigate greenhouse gas (GHG) emissions, but the effects are not well defined. Investigations were carried out in an irrigated rice (Boro rice) field in the fifth crop after conversion of conventional tillage (CT) to strip tillage (ST). Two crop residue levels (low versus high, LR versus HR) and three nitrogen (N) application rates (N1 = 108, N2 = 144, and N3 = 180 kg N ha−1) were laid out in a split-plot experiment with three replicates. Yield-scaled GHG emissions and GWP were estimated to evaluate the impacts of CA on mitigating CH4 and N2O emissions in the rice paddy field. There was a 55% higher N2O emission in ST with HR coupled with N3 than that in CT with LR coupled with N1. The N2O emission factors ranged from 0.43 to 0.75% in ST and 0.45 to 0.59% in CT, irrespective of the residue level and N rate. By contrast, CH4 emissions were significantly lower in CA than in the conventional practices (CT plus LR). The ST with LR in N2 reduced the GWP by 39% over the GWP in CT with HR in N1 and 16% over the conventional practices. Based on our investigation of the combination of tillage, residue, and N rate treatments, the adoption of CA with high and low residue levels reduced the GWP by 10 and 16%, respectively, because of lower CH4 and N2O emissions than the current management practices. The relatively high N2O emission factors suggest that mitigation of this GHG in wetland rice systems needs greater attention.
Frontiers in Environ... arrow_drop_down Frontiers in Environmental ScienceArticle . 2022 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3389/fenvs.2022.853655&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 9 citations 9 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Frontiers in Environ... arrow_drop_down Frontiers in Environmental ScienceArticle . 2022 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2023 Sweden, Australia, United States, AustraliaPublisher:Springer Science and Business Media LLC Publicly fundedFunded by:NSERC, EC | METLAKE, NSF | Graduate Research Fellows...NSERC ,EC| METLAKE ,NSF| Graduate Research Fellowship Program (GRFP)Sheel Bansal; Irena F. Creed; Brian A. Tangen; Scott D. Bridgham; Ankur R. Desai; Ken W. Krauss; Scott C. Neubauer; Gregory B. Noe; Donald O. Rosenberry; Carl Trettin; Kimberly P. Wickland; Scott T. Allen; Ariane Arias‐Ortiz; Anna R. Armitage; Dennis Baldocchi; Kakoli Banerjee; David Bastviken; Peter Berg; Matthew J. Bogard; Alex T. Chow; William H. Conner; Christopher Craft; Courtney A. Creamer; Tonya DelSontro; Jamie A. Duberstein; M. E. Gonneea; M. Siobhan Fennessy; Sarah A. Finkelstein; Mathias Goeckede; Sabine Grunwald; Meghan Halabisky; Ellen R. Herbert; M. M. R. Jahangir; Olivia F. Johnson; Miriam C. Jones; Jeffrey J. Kelleway; Sara Knox; Kevin D. Kroeger; Kevin A. Kuehn; David A. Lobb; Amanda L. Loder; Shizhou Ma; Damien T. Maher; Gavin McNicol; Jacob Meier; Beth A. Middleton; Christopher T. Mills; Purbasha Mistry; Abhijit Mitra; Courtney Mobilian; Amanda M. Nahlik; Susan Newman; Jessica L. O'Connell; Patricia Y. Oikawa; Max Post van der Burg; Charles A. Schutte; Chunqiao Song; Camille L. Stagg; Jess Turner; Rodrigo Vargas; Mark P. Waldrop; Marcus B. Wallin; Zhaohui Aleck Wang; Eric J. Ward; Debra A. Willard; Stephanie A. Yarwood; Xianghong Zhu;pmid: 38037553
pmc: PMC10684704
AbstractWetlands cover a small portion of the world, but have disproportionate influence on global carbon (C) sequestration, carbon dioxide and methane emissions, and aquatic C fluxes. However, the underlying biogeochemical processes that affect wetland C pools and fluxes are complex and dynamic, making measurements of wetland C challenging. Over decades of research, many observational, experimental, and analytical approaches have been developed to understand and quantify pools and fluxes of wetland C. Sampling approaches range in their representation of wetland C from short to long timeframes and local to landscape spatial scales. This review summarizes common and cutting-edge methodological approaches for quantifying wetland C pools and fluxes. We first define each of the major C pools and fluxes and provide rationale for their importance to wetland C dynamics. For each approach, we clarify what component of wetland C is measured and its spatial and temporal representativeness and constraints. We describe practical considerations for each approach, such as where and when an approach is typically used, who can conduct the measurements (expertise, training requirements), and how approaches are conducted, including considerations on equipment complexity and costs. Finally, we review key covariates and ancillary measurements that enhance the interpretation of findings and facilitate model development. The protocols that we describe to measure soil, water, vegetation, and gases are also relevant for related disciplines such as ecology. Improved quality and consistency of data collection and reporting across studies will help reduce global uncertainties and develop management strategies to use wetlands as nature-based climate solutions.
University of Califo... arrow_drop_down University of California: eScholarshipArticle . 2023License: CC BYFull-Text: https://escholarship.org/uc/item/15b835k7Data sources: Bielefeld Academic Search Engine (BASE)Publikationer från Linköpings universitetArticle . 2023 . Peer-reviewedData sources: Publikationer från Linköpings universiteteScholarship - University of CaliforniaArticle . 2023Data sources: eScholarship - University of CaliforniaUniversity of Wollongong, Australia: Research OnlineArticle . 2023Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s13157-023-01722-2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 23 citations 23 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert University of Califo... arrow_drop_down University of California: eScholarshipArticle . 2023License: CC BYFull-Text: https://escholarship.org/uc/item/15b835k7Data sources: Bielefeld Academic Search Engine (BASE)Publikationer från Linköpings universitetArticle . 2023 . Peer-reviewedData sources: Publikationer från Linköpings universiteteScholarship - University of CaliforniaArticle . 2023Data sources: eScholarship - University of CaliforniaUniversity of Wollongong, Australia: Research OnlineArticle . 2023Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s13157-023-01722-2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Part of book or chapter of book , Other literature type 2021Embargo end date: 08 Apr 2024 FrancePublisher:Springer International Publishing Publicly fundedMohammad Zaman; Kristina Kleineidam; Lars R. Bakken; Jacqueline Berendt; Conor Bracken; Klaus Butterbach‐Bahl; Zucong Cai; Scott X. Chang; Timothy J. Clough; Khadim Dawar; Weixin Ding; Peter Dörsch; M. dos Reis Martins; C. Eckhardt; Sebastian Fiedler; Torsten Frosch; J. P. Goopy; Carolyn-Monika Görres; Anshu Gupta; S. Henjes; Magdalena E. G. Hofmann; Marcus A. Horn; M. M. R. Jahangir; Anne Jansen-Willems; Katharina Lenhart; Lee Heng; Dominika Lewicka‐Szczebak; G. Lucic; Lutz Merbold; Joachim Mohn; Lars Molstad; Gerald M. Moser; Paul Murphy; Alberto Sanz-Cobeña; Miloslav Šimek; Segundo Urquiaga; Reinhard Well; Nicole Wrage‐Mönnig; Shahriar Zaman; J. Zhang; Christoph Müller;handle: 10568/129354
AbstractSoils harbour diverse soil faunaand a wide range of soil microorganisms. These fauna and microorganisms directly contribute to soil greenhouse gas (GHG) fluxes via their respiratory and metabolic activities and indirectly by changing the physical, chemical and biological properties of soils through bioturbation, fragmentation and redistribution of plant residues, defecation, soil aggregate formation, herbivory, and grazing on microorganisms and fungi. Based on recent results, the methods and results found in relation to fauna as well as from fungi and plants are presented. The approaches are outlined, and the significance of these hitherto ignored fluxes is discussed.
CGIAR CGSpace (Consu... arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Part of book or chapter of book . 2023License: CC BYFull-Text: https://hdl.handle.net/10568/129354Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.1007/978-3-...Part of book or chapter of book . 2021 . Peer-reviewedData sources: Crossrefhttps://link.springer.com/cont...Part of book or chapter of bookLicense: CC BYData sources: UnpayWallhttps://dx.doi.org/10.15488/16...Part of book or chapter of book . 2021License: CC BYData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/978-3-030-55396-8_5&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!
more_vert CGIAR CGSpace (Consu... arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Part of book or chapter of book . 2023License: CC BYFull-Text: https://hdl.handle.net/10568/129354Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.1007/978-3-...Part of book or chapter of book . 2021 . Peer-reviewedData sources: Crossrefhttps://link.springer.com/cont...Part of book or chapter of bookLicense: CC BYData sources: UnpayWallhttps://dx.doi.org/10.15488/16...Part of book or chapter of book . 2021License: CC BYData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/978-3-030-55396-8_5&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2021Publisher:Public Library of Science (PLoS) Authors: Rafeza Begum; Mohammad Mofizur Rahman Jahangir; M. Jahiruddin; Md. Rafiqul Islam; +5 AuthorsRafeza Begum; Mohammad Mofizur Rahman Jahangir; M. Jahiruddin; Md. Rafiqul Islam; Md. Taiabur Rahman; Md. Lutfar Rahman; Md. Younus Ali; Md. Baktear Hossain; Khandakar Rafiq Islam;Nitrogen (N) is the prime nutrient for crop production and carbon-based functions associated with soil quality. The objective of our study (2012 to 2019) was to evaluate the impact of variable rates of N fertilization on soil organic carbon (C) pools and their stocks, stratification, and lability in subtropical wheat (Triticum aestivum)—mungbean (Vigna radiata)—rice (Oryza sativa L) agroecosystems. The field experiment was conducted in a randomized complete block design (RCB) with N fertilization at 60, 80, 100, 120, and 140% of the recommended rates of wheat (100 kg/ha), mungbean (20 kg/ha), and rice (80 kg/ha), respectively. Composite soils were collected at 0–15 and 15–30 cm depths from each replicated plot and analyzed for microbial biomass (MBC), basal respiration (BR), total organic C (TOC), particulate organic C (POC), permanganate oxidizable C (POXC), carbon lability indices, and stratification. N fertilization (120 and 140%) significantly increased the POC at both depths; however, the effect was more pronounced in the surface layer. Moreover, N fertilization (at 120% and 140%) significantly increased the TOC and labile C pools when compared to the control (100%) and the lower rates (60 and 80%). N fertilization significantly increased MBC, C pool (CPI), lability (CLI), and management indices (CMI), indicating improved and efficient soil biological activities in such systems. The MBC and POC stocks were significantly higher with higher rates of N fertilization (120% and 140%) than the control. Likewise, higher rates of N fertilization significantly increased the stocks of labile C pools. Equally, the stratification values for POC, MBC, and POXC show evidence of improved soil quality because of optimum N fertilization (120–140%) to maintain and/or improve soil quality under rice-based systems in subtropical climates.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1371/journal.pone.0256397&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 11 citations 11 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1371/journal.pone.0256397&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Part of book or chapter of book , Other literature type 2021 FrancePublisher:Springer International Publishing Publicly fundedMohammad Zaman; Kristina Kleineidam; Lars R. Bakken; Jacqueline Berendt; Conor Bracken; Klaus Butterbach‐Bahl; Zucong Cai; Scott X. Chang; Tim J. Clough; Khadim Dawar; Weixin Ding; Peter Dörsch; M. dos Reis Martins; C. Eckhardt; Sebastian Fiedler; Torsten Frosch; J. P. Goopy; Carolyn-Monika Görres; Anshu Gupta; S. Henjes; Magdalena E. G. Hofmann; Marcus A. Horn; M. M. R. Jahangir; Anne Jansen-Willems; Katharina Lenhart; Lee Heng; Dominika Lewicka‐Szczebak; G. Lucic; Lutz Merbold; Joachim Mohn; Lars Molstad; Gerald M. Moser; Paul Murphy; Alberto Sanz-Cobeña; Miloslav Šimek; Segundo Urquiaga; Reinhard Well; Nicole Wrage‐Mönnig; Shahriar Zaman; J. Zhang; Christoph Müller;handle: 10568/129511
AbstractMethods and techniques are described for automated measurements of greenhouse gases (GHGs) in both the laboratory and the field. Robotic systems are currently available to measure the entire range of gases evolved from soils including dinitrogen (N2). These systems usually work on an exchange of the atmospheric N2with helium (He) so that N2 fluxes can be determined. Laboratory systems are often used in microbiology to determine kinetic response reactions via the dynamics of all gaseous N species such as nitric oxide (NO), nitrous oxide (N2O), and N2. Latest He incubation techniques also take plants into account, in order to study the effect of plant–soil interactions on GHGsand N2 production. The advantage of automated in-field techniques is that GHG emission rates can be determined at a high temporal resolution. This allows, for instance, to determine diurnal response reactions (e.g. with temperature) and GHG dynamics over longer time periods.
CGIAR CGSpace (Consu... arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Part of book or chapter of book . 2023License: CC BYFull-Text: https://hdl.handle.net/10568/129511Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.1007/978-3-...Part of book or chapter of book . 2021 . Peer-reviewedData sources: Crossrefhttps://link.springer.com/cont...Part of book or chapter of bookLicense: CC BYData sources: UnpayWalladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/978-3-030-55396-8_3&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 4 citations 4 popularity Top 10% influence Average impulse Average Powered by BIP!
more_vert CGIAR CGSpace (Consu... arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Part of book or chapter of book . 2023License: CC BYFull-Text: https://hdl.handle.net/10568/129511Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.1007/978-3-...Part of book or chapter of book . 2021 . Peer-reviewedData sources: Crossrefhttps://link.springer.com/cont...Part of book or chapter of bookLicense: CC BYData sources: UnpayWalladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/978-3-030-55396-8_3&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2012 IrelandPublisher:Elsevier BV Publicly fundedJahangir, Mohammad M. R.; Johnston, Paul; Khalil, Mohammed I.; Grant, Jim; Somers, Cathal; Richards, Karl G.;The objective of the study was to evaluate the different headspace equilibration methods for the quantification of dissolved greenhouse gases in groundwater. Groundwater samples were collected from wells with contrasting hydrogeochemical properties and degassed using the headspace equilibration method. One hundred samples from each well were randomly selected, treatments were applied and headspace gases analysed by gas chromatography. Headspace equilibration treatments varied helium (He):water ratio, shaking time and standing time. Mean groundwater N(2)O, CO(2) and CH(4) concentrations were 0.024 mg N L(-1), 13.71 mg C L(-1) and 1.63 μg C L(-1), respectively. All treatments were found to significantly influence dissolved gas concentrations. Considerable differences in the optimal He:water ratio and standing time were observed between the three gases. For N(2)O, CO(2) and CH(4) the optimum operating points for He:water ratio was 4.4:1, 3:1 and 3.4:1; shaking time was 13, 12 and 13 min; and standing time was 63, 17 and 108 min, respectively. The headspace equilibration method needs to be harmonised to ensure comparability between studies. The experiment reveals that He:water ratio 3:1 and shaking time 13 min give better estimation of dissolved gases than any lower or higher ratios and shaking times. The standing time 63, 17 and 108 min should be applied for N(2)O, CO(2) and CH(4), respectively.
Journal of Environme... arrow_drop_down Journal of Environmental ManagementArticle . 2012 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.jenvman.2012.06.033&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 36 citations 36 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Journal of Environme... arrow_drop_down Journal of Environmental ManagementArticle . 2012 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.jenvman.2012.06.033&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2012Embargo end date: 20 Sep 2018 Ireland, Ireland, Ireland, United KingdomPublisher:Elsevier BV Publicly fundedPaul Johnston; Vincent O'Flaherty; Karl G. Richards; Maria Barrett; M. I. Khalil; M. I. Khalil; Laura M. Cardenas; Mohammad M. R. Jahangir; Mohammad M. R. Jahangir; D. J. Hatch; Mark Butler;handle: 10379/12067 , 11019/416
Understanding subsurface denitrification potential will give greater insights into landscape nitrate (NO3−) delivery to groundwater and indirect nitrous oxide (N2O) emissions to the atmosphere. Potential denitrification rates and ratios of N2O/(N2O + N2) were investigated in intact soil cores collected from 0–0.10, 0.45–0.55 and 1.20–1.30 m depths representing A, B and C soil horizons, respectively from three randomly selected locations within a single intensively managed grazed grassland plot in south eastern Ireland. The soil was moderately well drained with textures ranging from loam to clay loam (gleysol) in the A to C horizon. An experiment was carried out by amending soils from each horizon with (i) 90 mg NO3−–N as KNO3, (ii) 90 mg NO3−–N + 150 mg glucose-C, (iii) 90 mg NO3−–N + 150 mg DOC (dissolved organic carbon, prepared using top soil of intensively managed grassland) kg−1 dry soil. An automated laboratory incubation system was used to measure simultaneously N2O and N2, at 15 °C, with the moisture content raised by 3% (by weight) above the moisture content at field capacity (FC), giving a water-filled pore space (WFPS) of 80, 85 and 88% in the A, B and C horizons, respectively. There was a significant effect (p < 0.01) of soil horizon and added carbon on cumulative N2O emissions. N2O emissions were higher from the A than the B and C horizons and were significantly lower from soils that received only nitrate than soils that received NO3− + either of the C sources. The two C sources gave similar N2O emissions. The N2 fluxes differed significantly (p < 0.05) only between the A and C horizons. During a 17-day incubation, total denitrification losses of the added N decreased significantly (p < 0.01) with soil depth and were increased by the addition of either C source. The fraction of the added N lost from each horizon were A: 25, 61, 45%; B: 12, 29, 28.5% and C: 4, 20, 18% for nitrate, nitrate + glucose-C and nitrate + DOC, respectively. The ratios of N2O to N2O + N2 differed significantly (p < 0.05) only between soil horizons, being higher in the A (0.58–0.75) than in the deeper horizons (0.10–0.36 in B and 0.06–0.24 in C), clearly indicating the potential of subsoils for a more complete reduction of N2O to N2. Stepwise multiple regression analysis revealed that N2O flux increased with total organic C and total N but decreased with NO3−–N which together explained 88% of the variance (p < 0.001). The N2 flux was best explained (R2 = 0.45, p < 0.01) by soluble organic nitrogen (SON) (positive) and with NO3−–N (negative). Stepwise multiple regression revealed a best fit for total denitrification rates which were positive for total C and negative for NO3−–N with the determination coefficient of 0.76 (p < 0.001). The results suggest that without C addition, potential denitrification rate below the root zone was low. Therefore, the added C sources in subsoils can satisfactorily increase nitrate depletion via denitrification where the mole fraction of N2O would be further reduced to N2 during diffusional transport through the soil profile to the atmosphere and/or to groundwater. Subsoil denitrification can be accelerated either through introducing C directly into permeable reactive barriers and/or indirectly, by irrigating dirty water and manipulating agricultural plant composition and diversity.
National University ... arrow_drop_down National University of Ireland (NUI), Galway: ARANArticle . 2012License: CC BY NC NDFull-Text: http://hdl.handle.net/10379/12067Data sources: Bielefeld Academic Search Engine (BASE)Agriculture Ecosystems & EnvironmentArticle . 2012 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefUniversity of Galway Research RepositoryArticle . 2012License: CC BY NC NDData sources: University of Galway Research Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 143 citations 143 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert National University ... arrow_drop_down National University of Ireland (NUI), Galway: ARANArticle . 2012License: CC BY NC NDFull-Text: http://hdl.handle.net/10379/12067Data sources: Bielefeld Academic Search Engine (BASE)Agriculture Ecosystems & EnvironmentArticle . 2012 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefUniversity of Galway Research RepositoryArticle . 2012License: CC BY NC NDData sources: University of Galway Research Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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