- home
- Advanced Search
- Energy Research
- 13. Climate action
- 15. Life on land
- 12. Responsible consumption
- CN
- University of California System
- Energy Research
- 13. Climate action
- 15. Life on land
- 12. Responsible consumption
- CN
- University of California System
description Publicationkeyboard_double_arrow_right Article , Journal 2021Embargo end date: 23 Feb 2021 Switzerland, United StatesPublisher:Springer Science and Business Media LLC Funded by:NSF | Collaborative Research: ..., NSF | Belmont Forum Collaborati...NSF| Collaborative Research: Combining NEON and remotely sensed habitats to determine climate impacts on community dynamics ,NSF| Belmont Forum Collaborative Research: Scenarios of Biodiversity and Ecosystem ServiceAuthors: Orrin Myers; Georges Kunstler;Jalene M. LaMontagne;
Jalene M. LaMontagne
Jalene M. LaMontagne in OpenAIREJames A. Lutz;
+60 AuthorsJames A. Lutz
James A. Lutz in OpenAIREOrrin Myers; Georges Kunstler;Jalene M. LaMontagne;
Jalene M. LaMontagne
Jalene M. LaMontagne in OpenAIREJames A. Lutz;
James A. Lutz
James A. Lutz in OpenAIREIstem Fer;
Jordan Luongo;Istem Fer
Istem Fer in OpenAIRERenata Poulton-Kamakura;
Renata Poulton-Kamakura
Renata Poulton-Kamakura in OpenAIREJanneke HilleRisLambers;
Yassine Messaoud; Sam Pearse;Janneke HilleRisLambers
Janneke HilleRisLambers in OpenAIREGregory S. Gilbert;
Natalie L. Cleavitt; C. D. Reid; Inés Ibáñez; Michael A. Steele; Miranda D. Redmond; Susan L. Cohen; Jerry F. Franklin; Benoît Courbaud; Don C. Bragg; Ethan Ready; C. Lane Scher; Andreas P. Wion; William H. Schlesinger;Gregory S. Gilbert
Gregory S. Gilbert in OpenAIREShubhi Sharma;
Robert R. Parmenter; Amanda M. Schwantes;Shubhi Sharma
Shubhi Sharma in OpenAIREScott M. Pearson;
Thomas G. Whitham;Scott M. Pearson
Scott M. Pearson in OpenAIREThomas T. Veblen;
Thomas T. Veblen
Thomas T. Veblen in OpenAIREChristopher L. Kilner;
Christopher L. Kilner
Christopher L. Kilner in OpenAIRESamantha Sutton;
Chase L. Nuñez;Samantha Sutton
Samantha Sutton in OpenAIREEmily V. Moran;
Emily V. Moran
Emily V. Moran in OpenAIRENathan L. Stephenson;
Nathan L. Stephenson
Nathan L. Stephenson in OpenAIREAdrian J. Das;
Jennifer J. Swenson; Cathryn H. Greenberg; Roman Zlotin;Adrian J. Das
Adrian J. Das in OpenAIREJames S. Clark;
James S. Clark;James S. Clark
James S. Clark in OpenAIREWalter D. Koenig;
Robert A. Andrus; Amy V. Whipple;Walter D. Koenig
Walter D. Koenig in OpenAIREJill F. Johnstone;
Eliot J. B. McIntire;Jill F. Johnstone
Jill F. Johnstone in OpenAIREKyle C. Rodman;
Timothy J. Fahey; Erin Shanahan; Jonathan Myers; Johannes M. H. Knops; Catherine A. Gehring; Diana Macias;Kyle C. Rodman
Kyle C. Rodman in OpenAIREQinfeng Guo;
Qinfeng Guo
Qinfeng Guo in OpenAIREChristopher M. Moore;
Christopher M. Moore
Christopher M. Moore in OpenAIREMichael Dietze;
Mélaine Aubry-Kientz; Dale G. Brockway;Michael Dietze
Michael Dietze in OpenAIREMichał Bogdziewicz;
Michał Bogdziewicz
Michał Bogdziewicz in OpenAIREKai Zhu;
Kai Zhu
Kai Zhu in OpenAIREYves Bergeron;
Robert Daley;Yves Bergeron
Yves Bergeron in OpenAIREMargaret Swift;
Kristin Legg;Margaret Swift
Margaret Swift in OpenAIREpmc: PMC7902660
AbstractIndirect climate effects on tree fecundity that come through variation in size and growth (climate-condition interactions) are not currently part of models used to predict future forests. Trends in species abundances predicted from meta-analyses and species distribution models will be misleading if they depend on the conditions of individuals. Here we find from a synthesis of tree species in North America that climate-condition interactions dominate responses through two pathways, i) effects of growth that depend on climate, and ii) effects of climate that depend on tree size. Because tree fecundity first increases and then declines with size, climate change that stimulates growth promotes a shift of small trees to more fecund sizes, but the opposite can be true for large sizes. Change the depresses growth also affects fecundity. We find a biogeographic divide, with these interactions reducing fecundity in the West and increasing it in the East. Continental-scale responses of these forests are thus driven largely by indirect effects, recommending management for climate change that considers multiple demographic rates.
Nature Communication... arrow_drop_down 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=10.1038/s41467-020-20836-3&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 59 citations 59 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Nature Communication... arrow_drop_down 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=10.1038/s41467-020-20836-3&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 New Zealand, Denmark, Spain, United States, New ZealandPublisher:American Association for the Advancement of Science (AAAS) Authors:Wu-Bing Xu;
Wu-Bing Xu
Wu-Bing Xu in OpenAIREWen-Yong Guo;
Wen-Yong Guo
Wen-Yong Guo in OpenAIREJosep M. Serra-Diaz;
Josep M. Serra-Diaz
Josep M. Serra-Diaz in OpenAIREFranziska Schrodt;
+55 AuthorsFranziska Schrodt
Franziska Schrodt in OpenAIREWu-Bing Xu;
Wu-Bing Xu
Wu-Bing Xu in OpenAIREWen-Yong Guo;
Wen-Yong Guo
Wen-Yong Guo in OpenAIREJosep M. Serra-Diaz;
Josep M. Serra-Diaz
Josep M. Serra-Diaz in OpenAIREFranziska Schrodt;
Franziska Schrodt
Franziska Schrodt in OpenAIREWolf L. Eiserhardt;
Wolf L. Eiserhardt
Wolf L. Eiserhardt in OpenAIREBrian J. Enquist;
Brian J. Enquist
Brian J. Enquist in OpenAIREBrian S. Maitner;
Cory Merow; Cyrille Violle;Brian S. Maitner
Brian S. Maitner in OpenAIREMadhur Anand;
Madhur Anand
Madhur Anand in OpenAIREMichaël Belluau;
Michaël Belluau
Michaël Belluau in OpenAIREHans Henrik Bruun;
Hans Henrik Bruun
Hans Henrik Bruun in OpenAIREChaeho Byun;
Chaeho Byun
Chaeho Byun in OpenAIREJane A. Catford;
Jane A. Catford
Jane A. Catford in OpenAIREBruno E. L. Cerabolini;
Bruno E. L. Cerabolini
Bruno E. L. Cerabolini in OpenAIREEduardo Chacón-Madrigal;
Eduardo Chacón-Madrigal
Eduardo Chacón-Madrigal in OpenAIREDaniela Ciccarelli;
Daniela Ciccarelli
Daniela Ciccarelli in OpenAIREJ. Hans C. Cornelissen;
Anh Tuan Dang-Le;J. Hans C. Cornelissen
J. Hans C. Cornelissen in OpenAIREAngel de Frutos;
Angel de Frutos
Angel de Frutos in OpenAIREArildo S. Dias;
Arildo S. Dias
Arildo S. Dias in OpenAIREAelton B. Giroldo;
Aelton B. Giroldo
Aelton B. Giroldo in OpenAIREAlvaro G. Gutiérrez;
Alvaro G. Gutiérrez
Alvaro G. Gutiérrez in OpenAIREWesley Hattingh;
Wesley Hattingh
Wesley Hattingh in OpenAIRETianhua He;
Tianhua He
Tianhua He in OpenAIREPeter Hietz;
Peter Hietz
Peter Hietz in OpenAIRENate Hough-Snee;
Nate Hough-Snee
Nate Hough-Snee in OpenAIRESteven Jansen;
Steven Jansen
Steven Jansen in OpenAIREJens Kattge;
Benjamin Komac;Jens Kattge
Jens Kattge in OpenAIRENathan J. B. Kraft;
Nathan J. B. Kraft
Nathan J. B. Kraft in OpenAIREKoen Kramer;
Koen Kramer
Koen Kramer in OpenAIRESandra Lavorel;
Sandra Lavorel
Sandra Lavorel in OpenAIREChristopher H. Lusk;
Christopher H. Lusk
Christopher H. Lusk in OpenAIREAdam R. Martin;
Adam R. Martin
Adam R. Martin in OpenAIREKe-Ping Ma;
Ke-Ping Ma
Ke-Ping Ma in OpenAIREMaurizio Mencuccini;
Maurizio Mencuccini
Maurizio Mencuccini in OpenAIRESean T. Michaletz;
Vanessa Minden;Sean T. Michaletz
Sean T. Michaletz in OpenAIREAkira S. Mori;
Akira S. Mori
Akira S. Mori in OpenAIREÜlo Niinemets;
Yusuke Onoda;Ülo Niinemets
Ülo Niinemets in OpenAIRERenske E. Onstein;
Renske E. Onstein
Renske E. Onstein in OpenAIREJosep Peñuelas;
Josep Peñuelas
Josep Peñuelas in OpenAIREValério D. Pillar;
Valério D. Pillar
Valério D. Pillar in OpenAIREJan Pisek;
Jan Pisek
Jan Pisek in OpenAIREMatthew J. Pound;
Matthew J. Pound
Matthew J. Pound in OpenAIREBjorn J. M. Robroek;
Brandon Schamp;Bjorn J. M. Robroek
Bjorn J. M. Robroek in OpenAIREMartijn Slot;
Martijn Slot
Martijn Slot in OpenAIREMiao Sun;
Miao Sun
Miao Sun in OpenAIREÊnio E. Sosinski;
Ênio E. Sosinski
Ênio E. Sosinski in OpenAIRENadejda A. Soudzilovskaia;
Nadejda A. Soudzilovskaia
Nadejda A. Soudzilovskaia in OpenAIRENelson Thiffault;
Nelson Thiffault
Nelson Thiffault in OpenAIREPeter M. van Bodegom;
Fons van der Plas;Peter M. van Bodegom
Peter M. van Bodegom in OpenAIREJingming Zheng;
Jingming Zheng
Jingming Zheng in OpenAIREJens-Christian Svenning;
Jens-Christian Svenning
Jens-Christian Svenning in OpenAIREAlejandro Ordonez;
Alejandro Ordonez
Alejandro Ordonez in OpenAIREAs Earth’s climate has varied strongly through geological time, studying the impacts of past climate change on biodiversity helps to understand the risks from future climate change. However, it remains unclear how paleoclimate shapes spatial variation in biodiversity. Here, we assessed the influence of Quaternary climate change on spatial dissimilarity in taxonomic, phylogenetic, and functional composition among neighboring 200-kilometer cells (beta-diversity) for angiosperm trees worldwide. We found that larger glacial-interglacial temperature change was strongly associated with lower spatial turnover (species replacements) and higher nestedness (richness changes) components of beta-diversity across all three biodiversity facets. Moreover, phylogenetic and functional turnover was lower and nestedness higher than random expectations based on taxonomic beta-diversity in regions that experienced large temperature change, reflecting phylogenetically and functionally selective processes in species replacement, extinction, and colonization during glacial-interglacial oscillations. Our results suggest that future human-driven climate change could cause local homogenization and reduction in taxonomic, phylogenetic, and functional diversity of angiosperm trees worldwide.
The University of Wa... arrow_drop_down The University of Waikato: Research CommonsArticle . 2023License: CC BYFull-Text: https://hdl.handle.net/10289/15686Data sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2023License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTADiposit Digital de Documents de la UABArticle . 2023License: CC BYData sources: Diposit Digital de Documents de la UABUniversity of Copenhagen: ResearchArticle . 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=10.1126/sciadv.add8553&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 21 citations 21 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert The University of Wa... arrow_drop_down The University of Waikato: Research CommonsArticle . 2023License: CC BYFull-Text: https://hdl.handle.net/10289/15686Data sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2023License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTADiposit Digital de Documents de la UABArticle . 2023License: CC BYData sources: Diposit Digital de Documents de la UABUniversity of Copenhagen: ResearchArticle . 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=10.1126/sciadv.add8553&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 United StatesPublisher:Research Square Platform LLC Authors:Hongmei Liu;
Xiaodan Huang; Xiuxia Guo; Peng Cheng; +7 AuthorsHongmei Liu
Hongmei Liu in OpenAIREHongmei Liu;
Xiaodan Huang; Xiuxia Guo; Peng Cheng; Haifang Wang; Lijuan Liu; Chuanhui Zang; Chongxing Zhang; Xuejun Wang; Guofa Zhou; Maoqing Gong;Hongmei Liu
Hongmei Liu in OpenAIREAbstract Background. Future distribution of dengue risk is usually predicted based on predicted climate changes using general circulation models (GCMs). However, it is hard to validate the GCM results and assess the uncertainty of the predictions. Observed changes in climate may be very different from GCM results. Methods.We collected Aedes albopictus surveillance data and observed climate records from about 90 meteorological stations for the period 1970–2021. We analyzed the trends of climate change in China and made predictions on future climate for the years 2050 and 2080 based on trend analyses. We analyzed the relationship between climatic variables and the prevalence of Ae. albopictusin different months/seasons. We built a series of machine learning classification tree models to predict the monthly/seasonal Ae. albopictus distribution based on the average climate from 1970 to 2000 and assessed the contributions of different climatic variables to the Ae. albopictus distribution. Using these models, we projected the future distributions of Ae. albopictus for the years of 2050 and 2080. Results. The study included Ae. albopictus surveillance from 259 sites in China and found that winter to early spring (November–February) temperatures were strongly correlated with Ae. albopictus prevalence – the higher the temperature the higher the prevalence, while precipitation in summer (June–September) was important predictors for Ae. albopictus prevalence. The machine learning tree models predicted the current prevalence of Ae. albopictus with high agreement (accuracy > 90% and Kappa agreement > 80% for all months). Overall, winter temperature contributed the most to Ae. albopictus distribution, followed by summer precipitation. Increase in temperature was observed in most places in China and rates of annual change varied substantially among sites, with the highest increase in temperature occurring from February to April (annual increase of 1.4 – 4.7ºC for monthly mean, 0.6 – 4.0ºC for monthly minimum, and 1.3 – 4.3ºC for monthly maximum temperature) and the lowest in November and December. Temperature increases were lower in the tropics/subtropics compared to the high-latitude areas. The projected temperatures in 2050 and 2080 by this study were about 1~1.5°C higher than projected by GCMs. The estimated current Ae. albopictus risk distribution had a northern boundary of north-central China and the southern edge of northeastern China, with a risk period of June–September. The projected future Ae. albopictus risks in 2050 and 2080 cover nearly all of China, with an expanded risk period of April–October. The current at-risk population was estimated to be 960 million and the future at-risk population was projected to be 1.2 billion. Conclusions.The magnitude of climate change in China is likely to surpass the GCM predictions. Future dengue risks will expand to cover nearly all of China if the current climate trends continue.
https://doi.org/10.2... arrow_drop_down https://doi.org/10.21203/rs.3....Article . 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=10.21203/rs.3.rs-2257975/v1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 18 citations 18 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert https://doi.org/10.2... arrow_drop_down https://doi.org/10.21203/rs.3....Article . 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=10.21203/rs.3.rs-2257975/v1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2018 China (People's Republic of), China (People's Republic of), United States, China (People's Republic of)Publisher:Wiley Authors:Farzana Kabir;
Farzana Kabir
Farzana Kabir in OpenAIRENanpeng Yu;
Weixin Yao; Longtao Wu; +3 AuthorsNanpeng Yu
Nanpeng Yu in OpenAIREFarzana Kabir;
Farzana Kabir
Farzana Kabir in OpenAIRENanpeng Yu;
Weixin Yao; Longtao Wu; Jonathan H. Jiang; Yu Gu;Nanpeng Yu
Nanpeng Yu in OpenAIREHui Su;
AbstractAccurate and reliable reservoir inflow forecast is instrumental to the efficient operation of the hydroelectric power systems. It has been discovered that natural and anthropogenic aerosols have a great influence on meteorological variables such as temperature, snow water equivalent, and precipitation, which in turn impact the reservoir inflow. Therefore, it is imperative for us to quantify the impact of aerosols on reservoir inflow and to incorporate the aerosol models into future reservoir inflow forecasting models. In this paper, a comprehensive framework was developed to quantify the impact of aerosols on reservoir inflow by integrating the Weather Research and Forecasting model with Chemistry (WRF‐Chem) and a dynamic regression model. The statistical dynamic regression model produces forecasts for reservoir inflow based on the meteorological output variables from the WRF‐Chem model. The case study was performed on the Florence Lake and Lake Thomas Alva Edison of the Big Creek Hydroelectric Project in the San Joaquin Region. The simulation results show that the presence of aerosols results in a significant reduction of annual reservoir inflow by 4–14%. In the summer, aerosols reduce precipitation, snow water equivalent, and snowmelt that leads to a reduction in inflow by 11–26%. In the spring, aerosols increase temperature and snowmelt which leads to an increase in inflow by 0.6–2%. Aerosols significantly reduce the amount of inflow in the summer when the marginal value of water is extremely high and slightly increase the inflow in the spring when the run‐off risk is high. In summary, the presence of aerosols is detrimental to the optimal utilization of hydroelectric power systems.
Hydrological Process... arrow_drop_down Hydrological ProcessesArticleLicense: publisher-specific, author manuscriptData sources: UnpayWallHydrological ProcessesArticle . 2018 . Peer-reviewedLicense: Wiley Online Library User AgreementData 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=10.1002/hyp.13265&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 Hydrological Process... arrow_drop_down Hydrological ProcessesArticleLicense: publisher-specific, author manuscriptData sources: UnpayWallHydrological ProcessesArticle . 2018 . Peer-reviewedLicense: Wiley Online Library User AgreementData 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=10.1002/hyp.13265&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object , Journal 2017 United StatesPublisher:American Chemical Society (ACS) Funded by:DFG | INUIT - Ice Nuclei resear...,DFG| INUIT - Ice Nuclei research UnIT ,[no funder available]Authors:Senchao Lai;
Senchao Lai
Senchao Lai in OpenAIREMichael G. Weller;
Iris Bellinghausen; Kira Ziegler; +17 AuthorsMichael G. Weller
Michael G. Weller in OpenAIRESenchao Lai;
Senchao Lai
Senchao Lai in OpenAIREMichael G. Weller;
Iris Bellinghausen; Kira Ziegler; Kurt Lucas;Michael G. Weller
Michael G. Weller in OpenAIREPascale S. J. Lakey;
Pascale S. J. Lakey
Pascale S. J. Lakey in OpenAIREManabu Shiraiwa;
Manabu Shiraiwa
Manabu Shiraiwa in OpenAIREJanine Fröhlich-Nowoisky;
Joachim Saloga; Rossella Sgarbanti;Janine Fröhlich-Nowoisky
Janine Fröhlich-Nowoisky in OpenAIRENaama Lang-Yona;
Detlef Schuppan; Detlef Schuppan;Naama Lang-Yona
Naama Lang-Yona in OpenAIREKathrin Reinmuth-Selzle;
Kathrin Reinmuth-Selzle
Kathrin Reinmuth-Selzle in OpenAIREChristopher J. Kampf;
Christopher J. Kampf
Christopher J. Kampf in OpenAIREFangxia Shen;
Fangxia Shen
Fangxia Shen in OpenAIREBettina Weber;
Anna T. Kunert;Bettina Weber
Bettina Weber in OpenAIREFobang Liu;
Fobang Liu
Fobang Liu in OpenAIREAlbert Duschl;
Albert Duschl
Albert Duschl in OpenAIREUlrich Pöschl;
Ulrich Pöschl
Ulrich Pöschl in OpenAIREAir pollution and climate change are potential drivers for the increasing burden of allergic diseases. The molecular mechanisms by which air pollutants and climate parameters may influence allergic diseases, however, are complex and elusive. This article provides an overview of physical, chemical and biological interactions between air pollution, climate change, allergens, adjuvants and the immune system, addressing how these interactions may promote the development of allergies. We reviewed and synthesized key findings from atmospheric, climate, and biomedical research. The current state of knowledge, open questions, and future research perspectives are outlined and discussed. The Anthropocene, as the present era of globally pervasive anthropogenic influence on planet Earth and, thus, on the human environment, is characterized by a strong increase of carbon dioxide, ozone, nitrogen oxides, and combustion- or traffic-related particulate matter in the atmosphere. These environmental factors can enhance the abundance and induce chemical modifications of allergens, increase oxidative stress in the human body, and skew the immune system toward allergic reactions. In particular, air pollutants can act as adjuvants and alter the immunogenicity of allergenic proteins, while climate change affects the atmospheric abundance and human exposure to bioaerosols and aeroallergens. To fully understand and effectively mitigate the adverse effects of air pollution and climate change on allergic diseases, several challenges remain to be resolved. Among these are the identification and quantification of immunochemical reaction pathways involving allergens and adjuvants under relevant environmental and physiological conditions.
Environmental Scienc... arrow_drop_down Harvard University: DASH - Digital Access to Scholarship at HarvardArticle . 2017Data 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=10.1021/acs.est.6b04908&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 221 citations 221 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Environmental Scienc... arrow_drop_down Harvard University: DASH - Digital Access to Scholarship at HarvardArticle . 2017Data 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=10.1021/acs.est.6b04908&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2019Publisher:MDPI AG Authors:Jie Pei;
Li Wang;
Xiaoyue Wang;
Xiaoyue Wang
Xiaoyue Wang in OpenAIREZheng Niu;
+10 AuthorsZheng Niu
Zheng Niu in OpenAIREJie Pei;
Li Wang;
Xiaoyue Wang;
Xiaoyue Wang
Xiaoyue Wang in OpenAIREZheng Niu;
Zheng Niu
Zheng Niu in OpenAIREMaggi Kelly;
Maggi Kelly
Maggi Kelly in OpenAIREXiao-Peng Song;
Ni Huang;Xiao-Peng Song
Xiao-Peng Song in OpenAIREJing Geng;
Jing Geng
Jing Geng in OpenAIREHaifeng Tian;
Yang Yu; Shiguang Xu;Haifeng Tian
Haifeng Tian in OpenAIRELei Wang;
Lei Wang
Lei Wang in OpenAIREQing Ying;
Jianhua Cao;Qing Ying
Qing Ying in OpenAIREdoi: 10.3390/rs11172044
Since the implementation of China’s afforestation and conservation projects during recent decades, an increasing number of studies have reported greening trends in the karst regions of southwest China using coarse-resolution satellite imagery, but small-scale changes in the heterogenous landscapes remain largely unknown. Focusing on two typical karst regions in the Nandong and Xiaojiang watersheds in Yunnan province, we processed 2,497 Landsat scenes from 1988 to 2016 using the Google Earth Engine cloud platform and analyzed vegetation trends and associated drivers. We found that both watersheds experienced significant increasing trends in annual fractional vegetation cover, at a rate of 0.0027 year−1 and 0.0020 year−1, respectively. Notably, the greening trends have been intensifying during the conservation period (2001–2016) even under unfavorable climate conditions. Human-induced ecological engineering was the primary factor for the increased greenness. Moreover, vegetation change responded differently to variations in topographic gradients and lithological types. Relatively more vegetation recovery was found in regions with moderate slopes and elevation, and pure limestone, limestone and dolomite interbedded layer as well as impure carbonate rocks than non-karst rocks. Partial correlation analysis of vegetation trends and temperature and precipitation trends suggested that climate change played a minor role in vegetation recovery. Our findings contribute to an improved understanding of the mechanisms behind vegetation changes in karst areas and may provide scientific supports for local afforestation and conservation policies.
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=10.3390/rs11172044&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 28 citations 28 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=10.3390/rs11172044&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2016 United StatesPublisher:Wiley Authors:Liu, Lingli;
Liu, Lingli
Liu, Lingli in OpenAIREWang, Xin;
Lajeunesse, Marc J.; Miao, Guofang; +7 AuthorsWang, Xin
Wang, Xin in OpenAIRELiu, Lingli;
Liu, Lingli
Liu, Lingli in OpenAIREWang, Xin;
Lajeunesse, Marc J.; Miao, Guofang; Piao, Shilong;Wang, Xin
Wang, Xin in OpenAIREWan, Shiqiang;
Wu, Yuxin; Wang, Zhenhua; Yang, Sen;Wan, Shiqiang
Wan, Shiqiang in OpenAIRELi, Ping;
Li, Ping
Li, Ping in OpenAIREDeng, Meifeng;
Deng, Meifeng
Deng, Meifeng in OpenAIREdoi: 10.1111/gcb.13156
pmid: 26554753
AbstractSoil respiration (Rs) is the second‐largest terrestrial carbon (C) flux. Although Rs has been extensively studied across a broad range of biomes, there is surprisingly little consensus on how the spatiotemporal patterns of Rs will be altered in a warming climate with changing precipitation regimes. Here, we present a global synthesis Rs data from studies that have manipulated precipitation in the field by collating studies from 113 increased precipitation treatments, 91 decreased precipitation treatments, and 14 prolonged drought treatments. Our meta‐analysis indicated that when the increased precipitation treatments were normalized to 28% above the ambient level, the soil moisture, Rs, and the temperature sensitivity (Q10) values increased by an average of 17%, 16%, and 6%, respectively, and the soil temperature decreased by −1.3%. The greatest increases in Rs and Q10 were observed in arid areas, and the stimulation rates decreased with increases in climate humidity. When the decreased precipitation treatments were normalized to 28% below the ambient level, the soil moisture and Rs values decreased by an average of −14% and −17%, respectively, and the soil temperature and Q10 values were not altered. The reductions in soil moisture tended to be greater in more humid areas. Prolonged drought without alterations in the amount of precipitation reduced the soil moisture and Rs by −12% and −6%, respectively, but did not alter Q10. Overall, our synthesis suggests that soil moisture and Rs tend to be more sensitive to increased precipitation in more arid areas and more responsive to decreased precipitation in more humid areas. The responses of Rs and Q10 were predominantly driven by precipitation‐induced changes in the soil moisture, whereas changes in the soil temperature had limited impacts. Finally, our synthesis of prolonged drought experiments also emphasizes the importance of the timing and frequency of precipitation events on ecosystem C cycles. Given these findings, we urge future studies to focus on manipulating the frequency, intensity, and seasonality of precipitation with an aim to improving our ability to predict and model feedback between Rs and climate change.
Global Change Biolog... arrow_drop_down eScholarship - University of CaliforniaArticle . 2016Data sources: eScholarship - University of CaliforniaGlobal Change BiologyArticle . 2016 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefUniversity of South Florida St. Petersburg: Digital USFSPArticle . 2016Data sources: Bielefeld Academic Search Engine (BASE)Digital Commons University of South Florida (USF)Article . 2016Data 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=10.1111/gcb.13156&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 223 citations 223 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Global Change Biolog... arrow_drop_down eScholarship - University of CaliforniaArticle . 2016Data sources: eScholarship - University of CaliforniaGlobal Change BiologyArticle . 2016 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefUniversity of South Florida St. Petersburg: Digital USFSPArticle . 2016Data sources: Bielefeld Academic Search Engine (BASE)Digital Commons University of South Florida (USF)Article . 2016Data 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=10.1111/gcb.13156&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2021 United StatesPublisher:Proceedings of the National Academy of Sciences Authors:Jun Chen;
A. Joshua West; Liang Zhao;Jun Chen
Jun Chen in OpenAIREHongrui Qiu;
+11 AuthorsHongrui Qiu
Hongrui Qiu in OpenAIREJun Chen;
A. Joshua West; Liang Zhao;Jun Chen
Jun Chen in OpenAIREHongrui Qiu;
Hongrui Qiu
Hongrui Qiu in OpenAIREGen Li;
Gen Li;Xingchen T. Wang;
Xingchen T. Wang;Xingchen T. Wang
Xingchen T. Wang in OpenAIREShilei Li;
Shilei Li
Shilei Li in OpenAIREWoodward W. Fischer;
Woodward W. Fischer
Woodward W. Fischer in OpenAIREValier Galy;
Ting Zhang;Valier Galy
Valier Galy in OpenAIREMichael P. Lamb;
Michael P. Lamb
Michael P. Lamb in OpenAIREGaojun Li;
Junfeng Ji;Gaojun Li
Gaojun Li in OpenAIRESignificance Coal combustion releases CO 2 but also leaves behind solid waste, or fly ash, which contains considerable amounts of carbon. The organic carbon sourced from fly ash resists chemical breakdown, and we find that it now contributes nearly half of the fossil organic carbon exported by the Chang Jiang—the largest river in Asia. The fly ash flux in this basin is similar to the natural sediment flux to the oceans because dam building has reduced sediment transport, while increased coal consumption generates abundant fly ash. Our results show that fly ash is an important component of the present-day carbon load in rivers and illustrates that human-driven carbon cycling can match the pace of the geological carbon cycle at decadal timescales.
Caltech Authors (Cal... arrow_drop_down Caltech Authors (California Institute of Technology)Article . 2021Full-Text: https://doi.org/10.1073/pnas.1921544118Data sources: Bielefeld Academic Search Engine (BASE)Proceedings of the National Academy of SciencesArticle . 2021 . Peer-reviewedData 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=10.1073/pnas.1921544118&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 10 citations 10 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Caltech Authors (Cal... arrow_drop_down Caltech Authors (California Institute of Technology)Article . 2021Full-Text: https://doi.org/10.1073/pnas.1921544118Data sources: Bielefeld Academic Search Engine (BASE)Proceedings of the National Academy of SciencesArticle . 2021 . Peer-reviewedData 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=10.1073/pnas.1921544118&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2019 Germany, France, United Kingdom, United States, Ireland, United StatesPublisher:Springer Science and Business Media LLC Publicly fundedFunded by:ARC | ARC Centres of Excellence..., EC | QUINCYARC| ARC Centres of Excellences - Grant ID: CE170100023 ,EC| QUINCYAuthors: Christian Werner;Bertrand Guenet;
Bertrand Guenet
Bertrand Guenet in OpenAIREShinichi Asao;
Shinichi Asao
Shinichi Asao in OpenAIREJianyang Xia;
+25 AuthorsJianyang Xia
Jianyang Xia in OpenAIREChristian Werner;Bertrand Guenet;
Bertrand Guenet
Bertrand Guenet in OpenAIREShinichi Asao;
Shinichi Asao
Shinichi Asao in OpenAIREJianyang Xia;
Jianyang Xia
Jianyang Xia in OpenAIREThomas Hickler;
Colleen M. Iversen;Thomas Hickler
Thomas Hickler in OpenAIREBelinda E. Medlyn;
Belinda E. Medlyn
Belinda E. Medlyn in OpenAIREJ. Patrick Megonigal;
Richard J. Norby; K. A. Luus; Yiqi Luo; Alan F. Talhelm;J. Patrick Megonigal
J. Patrick Megonigal in OpenAIREAnthony P. Walker;
Anthony P. Walker
Anthony P. Walker in OpenAIREMeng Lu;
Meng Lu;Bai Yang;
Bai Yang
Bai Yang in OpenAIRESönke Zaehle;
Sönke Zaehle
Sönke Zaehle in OpenAIREAtul K. Jain;
Ram Oren; Ram Oren; Xingjie Lu;Atul K. Jain
Atul K. Jain in OpenAIREAnna B. Harper;
Anna B. Harper
Anna B. Harper in OpenAIREMartin G. De Kauwe;
Martin G. De Kauwe
Martin G. De Kauwe in OpenAIREYing-Ping Wang;
Ying-Ping Wang
Ying-Ping Wang in OpenAIREJeffrey M. Warren;
Jeffrey M. Warren
Jeffrey M. Warren in OpenAIREDonald R. Zak;
Donald R. Zak
Donald R. Zak in OpenAIREShijie Shu;
Shijie Shu
Shijie Shu in OpenAIREEdmund Ryan;
Edmund Ryan
Edmund Ryan in OpenAIREBruce A. Hungate;
Bruce A. Hungate
Bruce A. Hungate in OpenAIREpmid: 30765702
pmc: PMC6376023
AbstractIncreasing atmospheric CO2 stimulates photosynthesis which can increase net primary production (NPP), but at longer timescales may not necessarily increase plant biomass. Here we analyse the four decade-long CO2-enrichment experiments in woody ecosystems that measured total NPP and biomass. CO2 enrichment increased biomass increment by 1.05 ± 0.26 kg C m−2 over a full decade, a 29.1 ± 11.7% stimulation of biomass gain in these early-secondary-succession temperate ecosystems. This response is predictable by combining the CO2 response of NPP (0.16 ± 0.03 kg C m−2 y−1) and the CO2-independent, linear slope between biomass increment and cumulative NPP (0.55 ± 0.17). An ensemble of terrestrial ecosystem models fail to predict both terms correctly. Allocation to wood was a driver of across-site, and across-model, response variability and together with CO2-independence of biomass retention highlights the value of understanding drivers of wood allocation under ambient conditions to correctly interpret and predict CO2 responses.
Hyper Article en Lig... arrow_drop_down Dublin Institute of Technology: ARROW@DIT (Archiving Research Resources on he Web)Article . 2019License: CC BY ND SAFull-Text: https://arrow.tudublin.ie/scschbioart/203Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2019Full-Text: https://hal.science/hal-02374049Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2019Full-Text: https://hal.science/hal-02374049Data sources: Bielefeld Academic Search Engine (BASE)Hochschulschriftenserver - Universität Frankfurt am MainArticle . 2019Data sources: Hochschulschriftenserver - Universität Frankfurt am MainUniversity of Bristol: Bristol ResearchArticle . 2019Data sources: Bielefeld Academic Search Engine (BASE)University of Western Sydney (UWS): Research DirectArticle . 2019License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Publication Server of Goethe University Frankfurt am MainArticle . 2019License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Duke University Libraries: DukeSpaceArticle . 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=10.1038/s41467-019-08348-1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 74 citations 74 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Hyper Article en Lig... arrow_drop_down Dublin Institute of Technology: ARROW@DIT (Archiving Research Resources on he Web)Article . 2019License: CC BY ND SAFull-Text: https://arrow.tudublin.ie/scschbioart/203Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2019Full-Text: https://hal.science/hal-02374049Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2019Full-Text: https://hal.science/hal-02374049Data sources: Bielefeld Academic Search Engine (BASE)Hochschulschriftenserver - Universität Frankfurt am MainArticle . 2019Data sources: Hochschulschriftenserver - Universität Frankfurt am MainUniversity of Bristol: Bristol ResearchArticle . 2019Data sources: Bielefeld Academic Search Engine (BASE)University of Western Sydney (UWS): Research DirectArticle . 2019License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Publication Server of Goethe University Frankfurt am MainArticle . 2019License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Duke University Libraries: DukeSpaceArticle . 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=10.1038/s41467-019-08348-1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2023 FrancePublisher:Springer Science and Business Media LLC Publicly fundedFunded by:EC | MRV4SOC, RCN | Climate smart use of Norw...EC| MRV4SOC ,RCN| Climate smart use of Norwegian organic soilsAuthors:Junbin Zhao;
Junbin Zhao
Junbin Zhao in OpenAIRESimon Weldon;
Alexandra Barthelmes;Simon Weldon
Simon Weldon in OpenAIREErin Swails;
+6 AuthorsErin Swails
Erin Swails in OpenAIREJunbin Zhao;
Junbin Zhao
Junbin Zhao in OpenAIRESimon Weldon;
Alexandra Barthelmes;Simon Weldon
Simon Weldon in OpenAIREErin Swails;
Kristell Hergoualc'h;Erin Swails
Erin Swails in OpenAIREÜlo Mander;
Ülo Mander
Ülo Mander in OpenAIREChunjing Qiu;
Chunjing Qiu
Chunjing Qiu in OpenAIREJohn Connolly;
John Connolly
John Connolly in OpenAIREWhendee L. Silver;
Whendee L. Silver
Whendee L. Silver in OpenAIREDavid I. Campbell;
David I. Campbell
David I. Campbell in OpenAIREhandle: 10568/135827
AbstractGreenhouse gas (GHGs) emissions from peatlands contribute significantly to ongoing climate change because of human land use. To develop reliable and comprehensive estimates and predictions of GHG emissions from peatlands, it is necessary to have GHG observations, including carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O), that cover different peatland types globally. We synthesize published peatland studies with field GHG flux measurements to identify gaps in observations and suggest directions for future research. Although GHG flux measurements have been conducted at numerous sites globally, substantial gaps remain in current observations, encompassing various peatland types, regions and GHGs. Generally, there is a pressing need for additional GHG observations in Africa, Latin America and the Caribbean regions. Despite widespread measurements of CO2 and CH4, studies quantifying N2O emissions from peatlands are scarce, particularly in natural ecosystems. To expand the global coverage of peatland data, it is crucial to conduct more eddy covariance observations for long-term monitoring. Automated chambers are preferable for plot-scale observations to produce high temporal resolution data; however, traditional field campaigns with manual chamber measurements remain necessary, particularly in remote areas. To ensure that the data can be further used for modeling purposes, we suggest that chamber campaigns should be conducted at least monthly for a minimum duration of one year with no fewer than three replicates and measure key environmental variables. In addition, further studies are needed in restored peatlands, focusing on identifying the most effective restoration approaches for different ecosystem types, conditions, climates, and land use histories.
Université de Versai... arrow_drop_down Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2023Full-Text: https://hal.science/hal-04246164Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2023Full-Text: https://hal.science/hal-04246164Data sources: Bielefeld Academic Search Engine (BASE)CIRAD: HAL (Agricultural Research for Development)Article . 2023Full-Text: https://hal.science/hal-04246164Data sources: Bielefeld Academic Search Engine (BASE)CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2023License: CC BYFull-Text: https://hdl.handle.net/10568/135827Data 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/s10533-023-01091-2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 4 citations 4 popularity Average influence Average impulse Average Powered by BIP!
more_vert Université de Versai... arrow_drop_down Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2023Full-Text: https://hal.science/hal-04246164Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2023Full-Text: https://hal.science/hal-04246164Data sources: Bielefeld Academic Search Engine (BASE)CIRAD: HAL (Agricultural Research for Development)Article . 2023Full-Text: https://hal.science/hal-04246164Data sources: Bielefeld Academic Search Engine (BASE)CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2023License: CC BYFull-Text: https://hdl.handle.net/10568/135827Data 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/s10533-023-01091-2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu