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Energy Research
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15. Life on land
Mendeley Data

Economic, Environmental and Social Performance of Agroecology in Ethiopia
Research datakeyboard_double_arrow_right Dataset 2024Embargo end date: 12 Nov 2024Publisher:Mendeley Data
Authors: Wordofa, Muluken Gezahegn; Seyoum, Chanyalew; Endris, Getachew; Neme, Getachew; +4 Authors
Wordofa, Muluken Gezahegn; Seyoum, Chanyalew; Endris, Getachew; Neme, Getachew; Lemma, Tesfaye; Hassen, Jemal; Lucantoni, Dario; Mottet, Anne;
doi: 10.17632/tsdp553dsm.1 , 10.17632/tsdp553dsm
doi: 10.17632/tsdp553dsm.1 , 10.17632/tsdp553dsm
This dataset is a result of research conducted by a multidisciplinary team of researchers from Haramaya University, Ethiopia. It contains economic, environmental, and social indicators of sustainability. The data were generated using the Tool for Agroecological Performance Evaluation (TAPE) developed by the FAO (FAO, 2019). Primary data on basic socio-demographic, economic, institutional, social and ecological dimensions of agroecological performance were generated using a survey questionnaire uploaded on Kobo Toolbox (on a smart device). The data collection and overall field work were supported by the FAO, and supervised by the researchers and local research translation partners. The data contained herein refers to 619 smallholder farms located in four districts of Oromia and Southern Nations, Nationalities and People's (SNNP) regions.
Mendeley Dataarrow_drop_down
Mendeley Data
Dataset . 2024
License: CC BY
Data sources: Datacite
Mendeley Data
Dataset . 2024
License: CC BY
Data sources: Datacite
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Mendeley Dataarrow_drop_down
Mendeley Data
Dataset . 2024
License: CC BY
Data sources: Datacite
Mendeley Data
Dataset . 2024
License: CC BY
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Economic, Environmental and Social Performance of Agroecology in Ethiopia
Research datakeyboard_double_arrow_right Dataset 2024Embargo end date: 12 Nov 2024Publisher:Mendeley Data
Authors: Wordofa, Muluken Gezahegn; Seyoum, Chanyalew; Endris, Getachew; Neme, Getachew; +4 Authors
Wordofa, Muluken Gezahegn; Seyoum, Chanyalew; Endris, Getachew; Neme, Getachew; Lemma, Tesfaye; Hassen, Jemal; Lucantoni, Dario; Mottet, Anne;
doi: 10.17632/tsdp553dsm.1 , 10.17632/tsdp553dsm
doi: 10.17632/tsdp553dsm.1 , 10.17632/tsdp553dsm
This dataset is a result of research conducted by a multidisciplinary team of researchers from Haramaya University, Ethiopia. It contains economic, environmental, and social indicators of sustainability. The data were generated using the Tool for Agroecological Performance Evaluation (TAPE) developed by the FAO (FAO, 2019). Primary data on basic socio-demographic, economic, institutional, social and ecological dimensions of agroecological performance were generated using a survey questionnaire uploaded on Kobo Toolbox (on a smart device). The data collection and overall field work were supported by the FAO, and supervised by the researchers and local research translation partners. The data contained herein refers to 619 smallholder farms located in four districts of Oromia and Southern Nations, Nationalities and People's (SNNP) regions.
Mendeley Dataarrow_drop_down
Mendeley Data
Dataset . 2024
License: CC BY
Data sources: Datacite
Mendeley Data
Dataset . 2024
License: CC BY
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Mendeley Dataarrow_drop_down
Mendeley Data
Dataset . 2024
License: CC BY
Data sources: Datacite
Mendeley Data
Dataset . 2024
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Data for: Tresch et al. 2019: Litter decomposition driven by soil fauna plant diversity and soil management in urban gardens
Research datakeyboard_double_arrow_right Dataset 2019Embargo end date: 05 Feb 2019Publisher:MendeleyFunded by:SNSF | Strategies for Better Gar...
SNSF| Strategies for Better Gardens: integrated analysis of soil quality, biodiversity and social value of urban gardens
Authors: Tresch, Simon;
doi: 10.17632/2449xdbjbd , 10.17632/2449xdbjbd.1
doi: 10.17632/2449xdbjbd , 10.17632/2449xdbjbd.1
# This is a R project containing the data and R scripts for the Paper: Tresch et al. 2019: Litter decomposition driven by soil fauna plant diversity and soil management in urban gardens Published in Science of the Total Environment. Please cite the paper correctly.
Mendeley Dataarrow_drop_down
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Datacite
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Datacite
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Mendeley Data
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Mendeley Data
DANS (Data Archiving and Networked Services)
Dataset
Data sources: DANS (Data Archiving and Networked Services)
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Mendeley Dataarrow_drop_down
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Datacite
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Datacite
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Mendeley Data
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Mendeley Data
DANS (Data Archiving and Networked Services)
Dataset
Data sources: DANS (Data Archiving and Networked Services)
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Data for: Tresch et al. 2019: Litter decomposition driven by soil fauna plant diversity and soil management in urban gardens
Research datakeyboard_double_arrow_right Dataset 2019Embargo end date: 05 Feb 2019Publisher:MendeleyFunded by:SNSF | Strategies for Better Gar...
SNSF| Strategies for Better Gardens: integrated analysis of soil quality, biodiversity and social value of urban gardens
Authors: Tresch, Simon;
doi: 10.17632/2449xdbjbd , 10.17632/2449xdbjbd.1
doi: 10.17632/2449xdbjbd , 10.17632/2449xdbjbd.1
# This is a R project containing the data and R scripts for the Paper: Tresch et al. 2019: Litter decomposition driven by soil fauna plant diversity and soil management in urban gardens Published in Science of the Total Environment. Please cite the paper correctly.
Mendeley Dataarrow_drop_down
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Datacite
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Datacite
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Mendeley Data
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Mendeley Data
DANS (Data Archiving and Networked Services)
Dataset
Data sources: DANS (Data Archiving and Networked Services)
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Mendeley Dataarrow_drop_down
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Datacite
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Datacite
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Mendeley Data
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Mendeley Data
DANS (Data Archiving and Networked Services)
Dataset
Data sources: DANS (Data Archiving and Networked Services)
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Data for: ECOSYSTEM CARBON SINK CAPACITY OF MOUNTAINOUS FORESTS EXPANSION OVER ABANDONED GRAZING LAND: THE ROLE OF SUBSOIL AND CLIMATIC FACTORS
Research datakeyboard_double_arrow_right Dataset 2019Embargo end date: 05 Dec 2019Publisher:Mendeley
Authors: Pellis, Guido;
doi: 10.17632/vjfvhsvbmw.1 , 10.17632/vjfvhsvbmw
doi: 10.17632/vjfvhsvbmw.1 , 10.17632/vjfvhsvbmw
The database includes soil samples data referred to several woody encroachment stages of six Italian sites.Sites and stages are described in the main text.
Mendeley Dataarrow_drop_down
Mendeley Data
Dataset . 2019
License: CC BY NC
Data sources: Datacite
Mendeley Data
Dataset . 2019
License: CC BY NC
Data sources: Datacite
Mendeley Data
Dataset . 2019
License: CC BY NC
Data sources: Mendeley Data
Mendeley Data
Dataset . 2019
License: CC BY NC
Data sources: Mendeley Data
DANS (Data Archiving and Networked Services)
Dataset
Data sources: DANS (Data Archiving and Networked Services)
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Mendeley Dataarrow_drop_down
Mendeley Data
Dataset . 2019
License: CC BY NC
Data sources: Datacite
Mendeley Data
Dataset . 2019
License: CC BY NC
Data sources: Datacite
Mendeley Data
Dataset . 2019
License: CC BY NC
Data sources: Mendeley Data
Mendeley Data
Dataset . 2019
License: CC BY NC
Data sources: Mendeley Data
DANS (Data Archiving and Networked Services)
Dataset
Data sources: DANS (Data Archiving and Networked Services)
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Please grant OpenAIRE to access and update your ORCID works.
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Data for: ECOSYSTEM CARBON SINK CAPACITY OF MOUNTAINOUS FORESTS EXPANSION OVER ABANDONED GRAZING LAND: THE ROLE OF SUBSOIL AND CLIMATIC FACTORS
Research datakeyboard_double_arrow_right Dataset 2019Embargo end date: 05 Dec 2019Publisher:Mendeley
Authors: Pellis, Guido;
doi: 10.17632/vjfvhsvbmw.1 , 10.17632/vjfvhsvbmw
doi: 10.17632/vjfvhsvbmw.1 , 10.17632/vjfvhsvbmw
The database includes soil samples data referred to several woody encroachment stages of six Italian sites.Sites and stages are described in the main text.
Mendeley Dataarrow_drop_down
Mendeley Data
Dataset . 2019
License: CC BY NC
Data sources: Datacite
Mendeley Data
Dataset . 2019
License: CC BY NC
Data sources: Datacite
Mendeley Data
Dataset . 2019
License: CC BY NC
Data sources: Mendeley Data
Mendeley Data
Dataset . 2019
License: CC BY NC
Data sources: Mendeley Data
DANS (Data Archiving and Networked Services)
Dataset
Data sources: DANS (Data Archiving and Networked Services)
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Please grant OpenAIRE to access and update your ORCID works.
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Mendeley Dataarrow_drop_down
Mendeley Data
Dataset . 2019
License: CC BY NC
Data sources: Datacite
Mendeley Data
Dataset . 2019
License: CC BY NC
Data sources: Datacite
Mendeley Data
Dataset . 2019
License: CC BY NC
Data sources: Mendeley Data
Mendeley Data
Dataset . 2019
License: CC BY NC
Data sources: Mendeley Data
DANS (Data Archiving and Networked Services)
Dataset
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Data for: Dominant plant species influence nematode richness by moderating understory diversity and microbial assemblages
Research datakeyboard_double_arrow_right Dataset 2019Embargo end date: 09 Sep 2019Publisher:Mendeley
Authors: Xiao, Sa;
doi: 10.17632/gsg4pw6scw , 10.17632/gsg4pw6scw.1 , 10.17632/4sp5x6h8rf.1 , 10.17632/4sp5x6h8rf
doi: 10.17632/gsg4pw6scw , 10.17632/gsg4pw6scw.1 , 10.17632/4sp5x6h8rf.1 , 10.17632/4sp5x6h8rf
We uploaded microbial data (Operational Taxonomic Units) in our study.The experiment was conducted at the Research Station of the Alpine Meadow and Wetland Ecosystems of Lanzhou University (Azi Branch Station) in Maqu (101°51′ E, 33°40′ N), Gansu, China.Here are the abbreviations in our study.S+G+: shrub with graminoid;S+G-: shrub without graminoid;S-G+: graminoids with shrub removed;S-G-: shrub and graminoids removed.
Mendeley Dataarrow_drop_down
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Datacite
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Datacite
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Datacite
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Datacite
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Mendeley Data
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Mendeley Data
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Mendeley Data
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Mendeley Data
DANS (Data Archiving and Networked Services)
Dataset
Data sources: DANS (Data Archiving and Networked Services)
DANS (Data Archiving and Networked Services)
Dataset
Data sources: DANS (Data Archiving and Networked Services)
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Mendeley Dataarrow_drop_down
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Datacite
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Datacite
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Datacite
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Datacite
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Mendeley Data
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Mendeley Data
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Mendeley Data
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Mendeley Data
DANS (Data Archiving and Networked Services)
Dataset
Data sources: DANS (Data Archiving and Networked Services)
DANS (Data Archiving and Networked Services)
Dataset
Data sources: DANS (Data Archiving and Networked Services)
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Data for: Dominant plant species influence nematode richness by moderating understory diversity and microbial assemblages
Research datakeyboard_double_arrow_right Dataset 2019Embargo end date: 09 Sep 2019Publisher:Mendeley
Authors: Xiao, Sa;
doi: 10.17632/gsg4pw6scw , 10.17632/gsg4pw6scw.1 , 10.17632/4sp5x6h8rf.1 , 10.17632/4sp5x6h8rf
doi: 10.17632/gsg4pw6scw , 10.17632/gsg4pw6scw.1 , 10.17632/4sp5x6h8rf.1 , 10.17632/4sp5x6h8rf
We uploaded microbial data (Operational Taxonomic Units) in our study.The experiment was conducted at the Research Station of the Alpine Meadow and Wetland Ecosystems of Lanzhou University (Azi Branch Station) in Maqu (101°51′ E, 33°40′ N), Gansu, China.Here are the abbreviations in our study.S+G+: shrub with graminoid;S+G-: shrub without graminoid;S-G+: graminoids with shrub removed;S-G-: shrub and graminoids removed.
Mendeley Dataarrow_drop_down
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Datacite
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Datacite
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Datacite
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Datacite
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Mendeley Data
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Mendeley Data
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Mendeley Data
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Mendeley Data
DANS (Data Archiving and Networked Services)
Dataset
Data sources: DANS (Data Archiving and Networked Services)
DANS (Data Archiving and Networked Services)
Dataset
Data sources: DANS (Data Archiving and Networked Services)
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Mendeley Dataarrow_drop_down
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Datacite
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Datacite
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Datacite
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Datacite
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Mendeley Data
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Mendeley Data
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Mendeley Data
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Mendeley Data
DANS (Data Archiving and Networked Services)
Dataset
Data sources: DANS (Data Archiving and Networked Services)
DANS (Data Archiving and Networked Services)
Dataset
Data sources: DANS (Data Archiving and Networked Services)
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Data for: The impacts of climate change on the habitat distribution of the vulnerable Patagonian-Fueguian species Ctenomys magellanicus (Rodentia, Ctenomyidae).
Research datakeyboard_double_arrow_right Dataset 2019Embargo end date: 05 Jul 2019Publisher:Mendeley
Authors: Rodriguez-Serrano, Enrique;
doi: 10.17632/s7x4wbcs79 , 10.17632/s7x4wbcs79.1
doi: 10.17632/s7x4wbcs79 , 10.17632/s7x4wbcs79.1
Research Data Table 1 is a table of the georreferenced historical (literature-based) and species surveys occurrence points for Ctenomys magellanicus (Rodentia, Caviomorpha). These points are the raw data for the analyses performed in this work. Research Data Table 2 is the result of fitting 120 models (EDM) with different features combination.
Mendeley Dataarrow_drop_down
Mendeley Data
Dataset . 2019
License: CC BY NC
Data sources: Datacite
Mendeley Data
Dataset . 2019
License: CC BY NC
Data sources: Datacite
Mendeley Data
Dataset . 2019
License: CC BY NC
Data sources: Mendeley Data
Mendeley Data
Dataset . 2019
License: CC BY NC
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DANS (Data Archiving and Networked Services)
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Data for: The impacts of climate change on the habitat distribution of the vulnerable Patagonian-Fueguian species Ctenomys magellanicus (Rodentia, Ctenomyidae).
Research datakeyboard_double_arrow_right Dataset 2019Embargo end date: 05 Jul 2019Publisher:Mendeley
Authors: Rodriguez-Serrano, Enrique;
doi: 10.17632/s7x4wbcs79 , 10.17632/s7x4wbcs79.1
doi: 10.17632/s7x4wbcs79 , 10.17632/s7x4wbcs79.1
Research Data Table 1 is a table of the georreferenced historical (literature-based) and species surveys occurrence points for Ctenomys magellanicus (Rodentia, Caviomorpha). These points are the raw data for the analyses performed in this work. Research Data Table 2 is the result of fitting 120 models (EDM) with different features combination.
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Data for: High-resolution climate history of a tropical freshwater wetland, geochemical and biological proxies
Research datakeyboard_double_arrow_right Dataset 2020Embargo end date: 16 Dec 2019Publisher:Mendeley
Authors: Goman, Michelle;
doi: 10.17632/8x49hck7tk , 10.17632/8x49hck7tk.1
doi: 10.17632/8x49hck7tk , 10.17632/8x49hck7tk.1
This file contains surface and subsurface data from sediment cores from Loboi wetland, Kenya. Surface samples: seed macrophyte and testate amoebae data, geochemistry Core samples C1: seed macrophyte and testate amoebae data, geochemistry, magnetic susceptibility C7: geochemistry, magnetic susceptibility Papyrus: geochemistry, magnetic susceptibility Soil pit: geochemistry,
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Data for: High-resolution climate history of a tropical freshwater wetland, geochemical and biological proxies
Research datakeyboard_double_arrow_right Dataset 2020Embargo end date: 16 Dec 2019Publisher:Mendeley
Authors: Goman, Michelle;
doi: 10.17632/8x49hck7tk , 10.17632/8x49hck7tk.1
doi: 10.17632/8x49hck7tk , 10.17632/8x49hck7tk.1
This file contains surface and subsurface data from sediment cores from Loboi wetland, Kenya. Surface samples: seed macrophyte and testate amoebae data, geochemistry Core samples C1: seed macrophyte and testate amoebae data, geochemistry, magnetic susceptibility C7: geochemistry, magnetic susceptibility Papyrus: geochemistry, magnetic susceptibility Soil pit: geochemistry,
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Data for: Cotton production and variable solar radiation during the tropical monsoon season. II – Biomass accumulation, partitioning and RUE
Research datakeyboard_double_arrow_right Dataset 2020Embargo end date: 13 Nov 2019Publisher:Mendeley
Authors: Grundy, Paul;
doi: 10.17632/bhwbp88gv7.2 , 10.17632/bhwbp88gv7.1 , 10.17632/bhwbp88gv7 , 10.17632/bhwbp88gv7.4 , 10.17632/bhwbp88gv7.3
doi: 10.17632/bhwbp88gv7.2 , 10.17632/bhwbp88gv7.1 , 10.17632/bhwbp88gv7 , 10.17632/bhwbp88gv7.4 , 10.17632/bhwbp88gv7.3
These files have the raw data and GenStat analysis outputs for final biomass and percentages, allometric analyses, LAI data and analyses and RUE data and analyses
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Data for: Cotton production and variable solar radiation during the tropical monsoon season. II – Biomass accumulation, partitioning and RUE
Research datakeyboard_double_arrow_right Dataset 2020Embargo end date: 13 Nov 2019Publisher:Mendeley
Authors: Grundy, Paul;
doi: 10.17632/bhwbp88gv7.2 , 10.17632/bhwbp88gv7.1 , 10.17632/bhwbp88gv7 , 10.17632/bhwbp88gv7.4 , 10.17632/bhwbp88gv7.3
doi: 10.17632/bhwbp88gv7.2 , 10.17632/bhwbp88gv7.1 , 10.17632/bhwbp88gv7 , 10.17632/bhwbp88gv7.4 , 10.17632/bhwbp88gv7.3
These files have the raw data and GenStat analysis outputs for final biomass and percentages, allometric analyses, LAI data and analyses and RUE data and analyses
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Age-related changes in Miscanthus × giganteus phenology and the effect of nitrogen fertilization
Research datakeyboard_double_arrow_right Dataset 2019Embargo end date: 15 Sep 2019Publisher:Mendeley
Authors: Tejera, Mauricio;
doi: 10.17632/9rrfxshnm6 , 10.17632/9rrfxshnm6.2 , 10.17632/9rrfxshnm6.1
doi: 10.17632/9rrfxshnm6 , 10.17632/9rrfxshnm6.2 , 10.17632/9rrfxshnm6.1
Perennial plants go through noticeable morphological, developmental, and physiological changes as they age. Whether these age-related changes are driven by ontogenetic differences, are the result of different environmental conditions, or an artifact of plant size remains unknown. In this research we used the warm-season grass Miscanthus × giganteus as model herbaceous perennial species to study age-related changes on phenology.Age-related experiments are usually based on field experimental design that confound growing season and age effects and ignore variability generated during the establishment of the stand. Here, we used a staggered-start experimental design where stands are repeatedly planted over subsequent years providing the ability to separate plant age effects from environmental effects. We hypothesized (i) M. × giganteus would produce more plant structures and reach more advanced developmental stages in a given growing season as it aged. (ii) Juvenile stands would have faster developmental rates and start development sooner and (iii) Mature stands would start senescence sooner in the growing season. Finally, we studied nitrogen (N) fertilization effects on M. × giganteus phenology as to assess whether age-related changes could be an artifact of size and N dilution in mature bigger individuals. We hypothesized that (iv) fertilized juvenile stands would have similar dynamics as mature unfertilized stands.Data were collected bi-weekly on all established stands during 2016 and 2017. Ten stems were harvested from each plot and staged at the lab according to M. × giganteus morphological scale developed by Tejera & Heaton (2017). Time series progression were then analyzed using non-linear models and parameters were compared across stand ages, N treatments and growing seasons.R scripts used to analyze the data are available upon request.
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Age-related changes in Miscanthus × giganteus phenology and the effect of nitrogen fertilization
Research datakeyboard_double_arrow_right Dataset 2019Embargo end date: 15 Sep 2019Publisher:Mendeley
Authors: Tejera, Mauricio;
doi: 10.17632/9rrfxshnm6 , 10.17632/9rrfxshnm6.2 , 10.17632/9rrfxshnm6.1
doi: 10.17632/9rrfxshnm6 , 10.17632/9rrfxshnm6.2 , 10.17632/9rrfxshnm6.1
Perennial plants go through noticeable morphological, developmental, and physiological changes as they age. Whether these age-related changes are driven by ontogenetic differences, are the result of different environmental conditions, or an artifact of plant size remains unknown. In this research we used the warm-season grass Miscanthus × giganteus as model herbaceous perennial species to study age-related changes on phenology.Age-related experiments are usually based on field experimental design that confound growing season and age effects and ignore variability generated during the establishment of the stand. Here, we used a staggered-start experimental design where stands are repeatedly planted over subsequent years providing the ability to separate plant age effects from environmental effects. We hypothesized (i) M. × giganteus would produce more plant structures and reach more advanced developmental stages in a given growing season as it aged. (ii) Juvenile stands would have faster developmental rates and start development sooner and (iii) Mature stands would start senescence sooner in the growing season. Finally, we studied nitrogen (N) fertilization effects on M. × giganteus phenology as to assess whether age-related changes could be an artifact of size and N dilution in mature bigger individuals. We hypothesized that (iv) fertilized juvenile stands would have similar dynamics as mature unfertilized stands.Data were collected bi-weekly on all established stands during 2016 and 2017. Ten stems were harvested from each plot and staged at the lab according to M. × giganteus morphological scale developed by Tejera & Heaton (2017). Time series progression were then analyzed using non-linear models and parameters were compared across stand ages, N treatments and growing seasons.R scripts used to analyze the data are available upon request.
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Changing climate drives divergent and nonlinear shifts in flowering phenology across elevations
Research datakeyboard_double_arrow_right Dataset 2020Embargo end date: 02 Jan 2020Publisher:Mendeley
Authors: Rafferty, Nicole E.;
doi: 10.17632/k6p34z78x9 , 10.17632/k6p34z78x9.1
doi: 10.17632/k6p34z78x9 , 10.17632/k6p34z78x9.1
Using a 33-year-long dataset spanning a 1267-meter semi-arid elevational gradient in the southwestern United States, we test whether flowering phenology diverged among subpopulations within species and among five communities comprising 590 species. Applying circular statistics to test for changes in year-round flowering, we show flowering has become earlier for all communities except at the highest elevations. However, flowering times shifted at different rates across elevations likely due to elevation-specific changes in temperature and precipitation, indicating diverging phenologies of neighboring communities. Subpopulations of individual species also diverged at mid-elevation but converged in phenology at high elevation. phenology_data: Data on flowering phenology of 590 taxa collected by C. David Bertelsen over 33 years (1984-2016). A total 169,030 observations were recorded during 1,639 surveys. Data were collected along an 8.05-km trail in Finger Rock Canyon ascending from 945-2212 m, to Mt. Kimball in the Santa Catalina Mountains of Arizona, USA. The trail was partitioned into five elevation bands with distinct flowering assemblages (communities) during the growing seasons: 1) 945-1079 m, 2) 1079-1372 m, 3) 1372-1671 m, 4) 1671-1939 m, and 5) 1939-2212 m. Every species seen in anthesis (angiosperms) or releasing pollen (gymnosperms), together referred to as “flowering,” was recorded for each community along each 1.6-km-long trail segment on every survey. temperature_precipitation_data: Temperature and precipitation data for three locations within Finger Rock Canyon in the Santa Catalina Mountains of Arizona, USA. The 1930-2016 Parameter-elevation Regressions on Independent Slopes Model (PRISM) data was downloaded from the PRISM Climate Group, Oregon State University, (http://www.prism.oregonstate.edu/explorer/), created October 25, 2017. The gauge data was collected by C. David Bertelsen.
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Mendeley Data
Dataset . 2020
License: CC BY NC
Data sources: Datacite
Mendeley Data
Dataset . 2020
License: CC BY NC
Data sources: Datacite
Mendeley Data
Dataset . 2020
License: CC BY NC
Data sources: Mendeley Data
Mendeley Data
Dataset . 2020
License: CC BY NC
Data sources: Mendeley Data
DANS (Data Archiving and Networked Services)
Dataset
Data sources: DANS (Data Archiving and Networked Services)
B2FIND
Dataset . 2020
Data sources: B2FIND
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Dataset . 2020
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Data sources: Datacite
Mendeley Data
Dataset . 2020
License: CC BY NC
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Mendeley Data
Dataset . 2020
License: CC BY NC
Data sources: Mendeley Data
Mendeley Data
Dataset . 2020
License: CC BY NC
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DANS (Data Archiving and Networked Services)
Dataset
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B2FIND
Dataset . 2020
Data sources: B2FIND
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Changing climate drives divergent and nonlinear shifts in flowering phenology across elevations
Research datakeyboard_double_arrow_right Dataset 2020Embargo end date: 02 Jan 2020Publisher:Mendeley
Authors: Rafferty, Nicole E.;
doi: 10.17632/k6p34z78x9 , 10.17632/k6p34z78x9.1
doi: 10.17632/k6p34z78x9 , 10.17632/k6p34z78x9.1
Using a 33-year-long dataset spanning a 1267-meter semi-arid elevational gradient in the southwestern United States, we test whether flowering phenology diverged among subpopulations within species and among five communities comprising 590 species. Applying circular statistics to test for changes in year-round flowering, we show flowering has become earlier for all communities except at the highest elevations. However, flowering times shifted at different rates across elevations likely due to elevation-specific changes in temperature and precipitation, indicating diverging phenologies of neighboring communities. Subpopulations of individual species also diverged at mid-elevation but converged in phenology at high elevation. phenology_data: Data on flowering phenology of 590 taxa collected by C. David Bertelsen over 33 years (1984-2016). A total 169,030 observations were recorded during 1,639 surveys. Data were collected along an 8.05-km trail in Finger Rock Canyon ascending from 945-2212 m, to Mt. Kimball in the Santa Catalina Mountains of Arizona, USA. The trail was partitioned into five elevation bands with distinct flowering assemblages (communities) during the growing seasons: 1) 945-1079 m, 2) 1079-1372 m, 3) 1372-1671 m, 4) 1671-1939 m, and 5) 1939-2212 m. Every species seen in anthesis (angiosperms) or releasing pollen (gymnosperms), together referred to as “flowering,” was recorded for each community along each 1.6-km-long trail segment on every survey. temperature_precipitation_data: Temperature and precipitation data for three locations within Finger Rock Canyon in the Santa Catalina Mountains of Arizona, USA. The 1930-2016 Parameter-elevation Regressions on Independent Slopes Model (PRISM) data was downloaded from the PRISM Climate Group, Oregon State University, (http://www.prism.oregonstate.edu/explorer/), created October 25, 2017. The gauge data was collected by C. David Bertelsen.
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Mendeley Data
Dataset . 2020
License: CC BY NC
Data sources: Datacite
Mendeley Data
Dataset . 2020
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Mendeley Data
Dataset . 2020
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Mendeley Data
Dataset . 2020
License: CC BY NC
Data sources: Mendeley Data
DANS (Data Archiving and Networked Services)
Dataset
Data sources: DANS (Data Archiving and Networked Services)
B2FIND
Dataset . 2020
Data sources: B2FIND
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Mendeley Data
Dataset . 2020
License: CC BY NC
Data sources: Datacite
Mendeley Data
Dataset . 2020
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Mendeley Data
Dataset . 2020
License: CC BY NC
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Mendeley Data
Dataset . 2020
License: CC BY NC
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DANS (Data Archiving and Networked Services)
Dataset
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B2FIND
Dataset . 2020
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Data for: Nonlinear grassland carbon cycling responses to precipitation variability
Research datakeyboard_double_arrow_right Dataset 2021Embargo end date: 12 Feb 2021Publisher:Mendeley
Authors: Li, Linfeng;
doi: 10.17632/5p266z2pzv , 10.17632/5p266z2pzv.1
doi: 10.17632/5p266z2pzv , 10.17632/5p266z2pzv.1
Responses of soil water content, soil inorganic nitrogen, aboveground and belowground biomass, soil respiration, ecosystem respiration, net ecosystem production, and gross ecosystem production to precipitation variability from a 3-y manipulative experiment (2004-2016) and a 12-y model simulation (2000-2011).
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Mendeley Data
Dataset . 2021
License: CC BY
Data sources: Datacite
Mendeley Data
Dataset . 2021
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Dataset . 2021
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Dataset . 2021
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Dataset . 2021
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Dataset . 2021
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Mendeley Data
Dataset . 2021
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Dataset . 2021
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Data for: Nonlinear grassland carbon cycling responses to precipitation variability
Research datakeyboard_double_arrow_right Dataset 2021Embargo end date: 12 Feb 2021Publisher:Mendeley
Authors: Li, Linfeng;
doi: 10.17632/5p266z2pzv , 10.17632/5p266z2pzv.1
doi: 10.17632/5p266z2pzv , 10.17632/5p266z2pzv.1
Responses of soil water content, soil inorganic nitrogen, aboveground and belowground biomass, soil respiration, ecosystem respiration, net ecosystem production, and gross ecosystem production to precipitation variability from a 3-y manipulative experiment (2004-2016) and a 12-y model simulation (2000-2011).
Mendeley Dataarrow_drop_down
Mendeley Data
Dataset . 2021
License: CC BY
Data sources: Datacite
Mendeley Data
Dataset . 2021
License: CC BY
Data sources: Datacite
Mendeley Data
Dataset . 2021
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Mendeley Data
Dataset . 2021
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Dataset . 2021
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Mendeley Data
Dataset . 2021
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Mendeley Data
Dataset . 2021
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Dataset . 2021
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Economic, Environmental and Social Performance of Agroecology in Ethiopia
Research datakeyboard_double_arrow_right Dataset 2024Embargo end date: 12 Nov 2024Publisher:Mendeley Data
Authors: Wordofa, Muluken Gezahegn; Seyoum, Chanyalew; Endris, Getachew; Neme, Getachew; +4 Authors
Wordofa, Muluken Gezahegn; Seyoum, Chanyalew; Endris, Getachew; Neme, Getachew; Lemma, Tesfaye; Hassen, Jemal; Lucantoni, Dario; Mottet, Anne;
doi: 10.17632/tsdp553dsm.1 , 10.17632/tsdp553dsm
doi: 10.17632/tsdp553dsm.1 , 10.17632/tsdp553dsm
This dataset is a result of research conducted by a multidisciplinary team of researchers from Haramaya University, Ethiopia. It contains economic, environmental, and social indicators of sustainability. The data were generated using the Tool for Agroecological Performance Evaluation (TAPE) developed by the FAO (FAO, 2019). Primary data on basic socio-demographic, economic, institutional, social and ecological dimensions of agroecological performance were generated using a survey questionnaire uploaded on Kobo Toolbox (on a smart device). The data collection and overall field work were supported by the FAO, and supervised by the researchers and local research translation partners. The data contained herein refers to 619 smallholder farms located in four districts of Oromia and Southern Nations, Nationalities and People's (SNNP) regions.
Mendeley Dataarrow_drop_down
Mendeley Data
Dataset . 2024
License: CC BY
Data sources: Datacite
Mendeley Data
Dataset . 2024
License: CC BY
Data sources: Datacite
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Mendeley Data
Dataset . 2024
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Mendeley Data
Dataset . 2024
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Economic, Environmental and Social Performance of Agroecology in Ethiopia
Research datakeyboard_double_arrow_right Dataset 2024Embargo end date: 12 Nov 2024Publisher:Mendeley Data
Authors: Wordofa, Muluken Gezahegn; Seyoum, Chanyalew; Endris, Getachew; Neme, Getachew; +4 Authors
Wordofa, Muluken Gezahegn; Seyoum, Chanyalew; Endris, Getachew; Neme, Getachew; Lemma, Tesfaye; Hassen, Jemal; Lucantoni, Dario; Mottet, Anne;
doi: 10.17632/tsdp553dsm.1 , 10.17632/tsdp553dsm
doi: 10.17632/tsdp553dsm.1 , 10.17632/tsdp553dsm
This dataset is a result of research conducted by a multidisciplinary team of researchers from Haramaya University, Ethiopia. It contains economic, environmental, and social indicators of sustainability. The data were generated using the Tool for Agroecological Performance Evaluation (TAPE) developed by the FAO (FAO, 2019). Primary data on basic socio-demographic, economic, institutional, social and ecological dimensions of agroecological performance were generated using a survey questionnaire uploaded on Kobo Toolbox (on a smart device). The data collection and overall field work were supported by the FAO, and supervised by the researchers and local research translation partners. The data contained herein refers to 619 smallholder farms located in four districts of Oromia and Southern Nations, Nationalities and People's (SNNP) regions.
Mendeley Dataarrow_drop_down
Mendeley Data
Dataset . 2024
License: CC BY
Data sources: Datacite
Mendeley Data
Dataset . 2024
License: CC BY
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Mendeley Data
Dataset . 2024
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Mendeley Data
Dataset . 2024
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Data for: Tresch et al. 2019: Litter decomposition driven by soil fauna plant diversity and soil management in urban gardens
Research datakeyboard_double_arrow_right Dataset 2019Embargo end date: 05 Feb 2019Publisher:MendeleyFunded by:SNSF | Strategies for Better Gar...
SNSF| Strategies for Better Gardens: integrated analysis of soil quality, biodiversity and social value of urban gardens
Authors: Tresch, Simon;
doi: 10.17632/2449xdbjbd , 10.17632/2449xdbjbd.1
doi: 10.17632/2449xdbjbd , 10.17632/2449xdbjbd.1
# This is a R project containing the data and R scripts for the Paper: Tresch et al. 2019: Litter decomposition driven by soil fauna plant diversity and soil management in urban gardens Published in Science of the Total Environment. Please cite the paper correctly.
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Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Datacite
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Datacite
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Mendeley Data
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Mendeley Data
DANS (Data Archiving and Networked Services)
Dataset
Data sources: DANS (Data Archiving and Networked Services)
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Mendeley Data
Dataset . 2019
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Data sources: Datacite
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Datacite
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Mendeley Data
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Mendeley Data
DANS (Data Archiving and Networked Services)
Dataset
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Data for: Tresch et al. 2019: Litter decomposition driven by soil fauna plant diversity and soil management in urban gardens
Research datakeyboard_double_arrow_right Dataset 2019Embargo end date: 05 Feb 2019Publisher:MendeleyFunded by:SNSF | Strategies for Better Gar...
SNSF| Strategies for Better Gardens: integrated analysis of soil quality, biodiversity and social value of urban gardens
Authors: Tresch, Simon;
doi: 10.17632/2449xdbjbd , 10.17632/2449xdbjbd.1
doi: 10.17632/2449xdbjbd , 10.17632/2449xdbjbd.1
# This is a R project containing the data and R scripts for the Paper: Tresch et al. 2019: Litter decomposition driven by soil fauna plant diversity and soil management in urban gardens Published in Science of the Total Environment. Please cite the paper correctly.
Mendeley Dataarrow_drop_down
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Datacite
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Datacite
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Mendeley Data
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Mendeley Data
DANS (Data Archiving and Networked Services)
Dataset
Data sources: DANS (Data Archiving and Networked Services)
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Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Datacite
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Datacite
Mendeley Data
Dataset . 2019
License: CC BY
Data sources: Mendeley Data
Mendeley Data
Dataset . 2019
License: CC BY
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DANS (Data Archiving and Networked Services)
Dataset
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Data for: ECOSYSTEM CARBON SINK CAPACITY OF MOUNTAINOUS FORESTS EXPANSION OVER ABANDONED GRAZING LAND: THE ROLE OF SUBSOIL AND CLIMATIC FACTORS
Research datakeyboard_double_arrow_right Dataset 2019Embargo end date: 05 Dec 2019Publisher:Mendeley
Authors: Pellis, Guido;
doi: 10.17632/vjfvhsvbmw.1 , 10.17632/vjfvhsvbmw
doi: 10.17632/vjfvhsvbmw.1 , 10.17632/vjfvhsvbmw
The database includes soil samples data referred to several woody encroachment stages of six Italian sites.Sites and stages are described in the main text.
Mendeley Dataarrow_drop_down
Mendeley Data
Dataset . 2019
License: CC BY NC
Data sources: Datacite
Mendeley Data
Dataset . 2019
License: CC BY NC
Data sources: Datacite
Mendeley Data
Dataset . 2019
License: CC BY NC
Data sources: Mendeley Data
Mendeley Data
Dataset . 2019
License: CC BY NC
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Data for: ECOSYSTEM CARBON SINK CAPACITY OF MOUNTAINOUS FORESTS EXPANSION OVER ABANDONED GRAZING LAND: THE ROLE OF SUBSOIL AND CLIMATIC FACTORS
Research datakeyboard_double_arrow_right Dataset 2019Embargo end date: 05 Dec 2019Publisher:Mendeley
Authors: Pellis, Guido;
doi: 10.17632/vjfvhsvbmw.1 , 10.17632/vjfvhsvbmw
doi: 10.17632/vjfvhsvbmw.1 , 10.17632/vjfvhsvbmw
The database includes soil samples data referred to several woody encroachment stages of six Italian sites.Sites and stages are described in the main text.
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Data for: Dominant plant species influence nematode richness by moderating understory diversity and microbial assemblages
Research datakeyboard_double_arrow_right Dataset 2019Embargo end date: 09 Sep 2019Publisher:Mendeley
Authors: Xiao, Sa;
doi: 10.17632/gsg4pw6scw , 10.17632/gsg4pw6scw.1 , 10.17632/4sp5x6h8rf.1 , 10.17632/4sp5x6h8rf
doi: 10.17632/gsg4pw6scw , 10.17632/gsg4pw6scw.1 , 10.17632/4sp5x6h8rf.1 , 10.17632/4sp5x6h8rf
We uploaded microbial data (Operational Taxonomic Units) in our study.The experiment was conducted at the Research Station of the Alpine Meadow and Wetland Ecosystems of Lanzhou University (Azi Branch Station) in Maqu (101°51′ E, 33°40′ N), Gansu, China.Here are the abbreviations in our study.S+G+: shrub with graminoid;S+G-: shrub without graminoid;S-G+: graminoids with shrub removed;S-G-: shrub and graminoids removed.
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Data for: Dominant plant species influence nematode richness by moderating understory diversity and microbial assemblages
Research datakeyboard_double_arrow_right Dataset 2019Embargo end date: 09 Sep 2019Publisher:Mendeley
Authors: Xiao, Sa;
doi: 10.17632/gsg4pw6scw , 10.17632/gsg4pw6scw.1 , 10.17632/4sp5x6h8rf.1 , 10.17632/4sp5x6h8rf
doi: 10.17632/gsg4pw6scw , 10.17632/gsg4pw6scw.1 , 10.17632/4sp5x6h8rf.1 , 10.17632/4sp5x6h8rf
We uploaded microbial data (Operational Taxonomic Units) in our study.The experiment was conducted at the Research Station of the Alpine Meadow and Wetland Ecosystems of Lanzhou University (Azi Branch Station) in Maqu (101°51′ E, 33°40′ N), Gansu, China.Here are the abbreviations in our study.S+G+: shrub with graminoid;S+G-: shrub without graminoid;S-G+: graminoids with shrub removed;S-G-: shrub and graminoids removed.
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Data for: The impacts of climate change on the habitat distribution of the vulnerable Patagonian-Fueguian species Ctenomys magellanicus (Rodentia, Ctenomyidae).
Research datakeyboard_double_arrow_right Dataset 2019Embargo end date: 05 Jul 2019Publisher:Mendeley
Authors: Rodriguez-Serrano, Enrique;
doi: 10.17632/s7x4wbcs79 , 10.17632/s7x4wbcs79.1
doi: 10.17632/s7x4wbcs79 , 10.17632/s7x4wbcs79.1
Research Data Table 1 is a table of the georreferenced historical (literature-based) and species surveys occurrence points for Ctenomys magellanicus (Rodentia, Caviomorpha). These points are the raw data for the analyses performed in this work. Research Data Table 2 is the result of fitting 120 models (EDM) with different features combination.
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Data for: The impacts of climate change on the habitat distribution of the vulnerable Patagonian-Fueguian species Ctenomys magellanicus (Rodentia, Ctenomyidae).
Research datakeyboard_double_arrow_right Dataset 2019Embargo end date: 05 Jul 2019Publisher:Mendeley
Authors: Rodriguez-Serrano, Enrique;
doi: 10.17632/s7x4wbcs79 , 10.17632/s7x4wbcs79.1
doi: 10.17632/s7x4wbcs79 , 10.17632/s7x4wbcs79.1
Research Data Table 1 is a table of the georreferenced historical (literature-based) and species surveys occurrence points for Ctenomys magellanicus (Rodentia, Caviomorpha). These points are the raw data for the analyses performed in this work. Research Data Table 2 is the result of fitting 120 models (EDM) with different features combination.
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Data for: High-resolution climate history of a tropical freshwater wetland, geochemical and biological proxies
Research datakeyboard_double_arrow_right Dataset 2020Embargo end date: 16 Dec 2019Publisher:Mendeley
Authors: Goman, Michelle;
doi: 10.17632/8x49hck7tk , 10.17632/8x49hck7tk.1
doi: 10.17632/8x49hck7tk , 10.17632/8x49hck7tk.1
This file contains surface and subsurface data from sediment cores from Loboi wetland, Kenya. Surface samples: seed macrophyte and testate amoebae data, geochemistry Core samples C1: seed macrophyte and testate amoebae data, geochemistry, magnetic susceptibility C7: geochemistry, magnetic susceptibility Papyrus: geochemistry, magnetic susceptibility Soil pit: geochemistry,
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Data for: High-resolution climate history of a tropical freshwater wetland, geochemical and biological proxies
Research datakeyboard_double_arrow_right Dataset 2020Embargo end date: 16 Dec 2019Publisher:Mendeley
Authors: Goman, Michelle;
doi: 10.17632/8x49hck7tk , 10.17632/8x49hck7tk.1
doi: 10.17632/8x49hck7tk , 10.17632/8x49hck7tk.1
This file contains surface and subsurface data from sediment cores from Loboi wetland, Kenya. Surface samples: seed macrophyte and testate amoebae data, geochemistry Core samples C1: seed macrophyte and testate amoebae data, geochemistry, magnetic susceptibility C7: geochemistry, magnetic susceptibility Papyrus: geochemistry, magnetic susceptibility Soil pit: geochemistry,
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Data for: Cotton production and variable solar radiation during the tropical monsoon season. II – Biomass accumulation, partitioning and RUE
Research datakeyboard_double_arrow_right Dataset 2020Embargo end date: 13 Nov 2019Publisher:Mendeley
Authors: Grundy, Paul;
doi: 10.17632/bhwbp88gv7.2 , 10.17632/bhwbp88gv7.1 , 10.17632/bhwbp88gv7 , 10.17632/bhwbp88gv7.4 , 10.17632/bhwbp88gv7.3
doi: 10.17632/bhwbp88gv7.2 , 10.17632/bhwbp88gv7.1 , 10.17632/bhwbp88gv7 , 10.17632/bhwbp88gv7.4 , 10.17632/bhwbp88gv7.3
These files have the raw data and GenStat analysis outputs for final biomass and percentages, allometric analyses, LAI data and analyses and RUE data and analyses
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Data for: Cotton production and variable solar radiation during the tropical monsoon season. II – Biomass accumulation, partitioning and RUE
Research datakeyboard_double_arrow_right Dataset 2020Embargo end date: 13 Nov 2019Publisher:Mendeley
Authors: Grundy, Paul;
doi: 10.17632/bhwbp88gv7.2 , 10.17632/bhwbp88gv7.1 , 10.17632/bhwbp88gv7 , 10.17632/bhwbp88gv7.4 , 10.17632/bhwbp88gv7.3
doi: 10.17632/bhwbp88gv7.2 , 10.17632/bhwbp88gv7.1 , 10.17632/bhwbp88gv7 , 10.17632/bhwbp88gv7.4 , 10.17632/bhwbp88gv7.3
These files have the raw data and GenStat analysis outputs for final biomass and percentages, allometric analyses, LAI data and analyses and RUE data and analyses
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Age-related changes in Miscanthus × giganteus phenology and the effect of nitrogen fertilization
Research datakeyboard_double_arrow_right Dataset 2019Embargo end date: 15 Sep 2019Publisher:Mendeley
Authors: Tejera, Mauricio;
doi: 10.17632/9rrfxshnm6 , 10.17632/9rrfxshnm6.2 , 10.17632/9rrfxshnm6.1
doi: 10.17632/9rrfxshnm6 , 10.17632/9rrfxshnm6.2 , 10.17632/9rrfxshnm6.1
Perennial plants go through noticeable morphological, developmental, and physiological changes as they age. Whether these age-related changes are driven by ontogenetic differences, are the result of different environmental conditions, or an artifact of plant size remains unknown. In this research we used the warm-season grass Miscanthus × giganteus as model herbaceous perennial species to study age-related changes on phenology.Age-related experiments are usually based on field experimental design that confound growing season and age effects and ignore variability generated during the establishment of the stand. Here, we used a staggered-start experimental design where stands are repeatedly planted over subsequent years providing the ability to separate plant age effects from environmental effects. We hypothesized (i) M. × giganteus would produce more plant structures and reach more advanced developmental stages in a given growing season as it aged. (ii) Juvenile stands would have faster developmental rates and start development sooner and (iii) Mature stands would start senescence sooner in the growing season. Finally, we studied nitrogen (N) fertilization effects on M. × giganteus phenology as to assess whether age-related changes could be an artifact of size and N dilution in mature bigger individuals. We hypothesized that (iv) fertilized juvenile stands would have similar dynamics as mature unfertilized stands.Data were collected bi-weekly on all established stands during 2016 and 2017. Ten stems were harvested from each plot and staged at the lab according to M. × giganteus morphological scale developed by Tejera & Heaton (2017). Time series progression were then analyzed using non-linear models and parameters were compared across stand ages, N treatments and growing seasons.R scripts used to analyze the data are available upon request.
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Age-related changes in Miscanthus × giganteus phenology and the effect of nitrogen fertilization
Research datakeyboard_double_arrow_right Dataset 2019Embargo end date: 15 Sep 2019Publisher:Mendeley
Authors: Tejera, Mauricio;
doi: 10.17632/9rrfxshnm6 , 10.17632/9rrfxshnm6.2 , 10.17632/9rrfxshnm6.1
doi: 10.17632/9rrfxshnm6 , 10.17632/9rrfxshnm6.2 , 10.17632/9rrfxshnm6.1
Perennial plants go through noticeable morphological, developmental, and physiological changes as they age. Whether these age-related changes are driven by ontogenetic differences, are the result of different environmental conditions, or an artifact of plant size remains unknown. In this research we used the warm-season grass Miscanthus × giganteus as model herbaceous perennial species to study age-related changes on phenology.Age-related experiments are usually based on field experimental design that confound growing season and age effects and ignore variability generated during the establishment of the stand. Here, we used a staggered-start experimental design where stands are repeatedly planted over subsequent years providing the ability to separate plant age effects from environmental effects. We hypothesized (i) M. × giganteus would produce more plant structures and reach more advanced developmental stages in a given growing season as it aged. (ii) Juvenile stands would have faster developmental rates and start development sooner and (iii) Mature stands would start senescence sooner in the growing season. Finally, we studied nitrogen (N) fertilization effects on M. × giganteus phenology as to assess whether age-related changes could be an artifact of size and N dilution in mature bigger individuals. We hypothesized that (iv) fertilized juvenile stands would have similar dynamics as mature unfertilized stands.Data were collected bi-weekly on all established stands during 2016 and 2017. Ten stems were harvested from each plot and staged at the lab according to M. × giganteus morphological scale developed by Tejera & Heaton (2017). Time series progression were then analyzed using non-linear models and parameters were compared across stand ages, N treatments and growing seasons.R scripts used to analyze the data are available upon request.
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Changing climate drives divergent and nonlinear shifts in flowering phenology across elevations
Research datakeyboard_double_arrow_right Dataset 2020Embargo end date: 02 Jan 2020Publisher:Mendeley
Authors: Rafferty, Nicole E.;
doi: 10.17632/k6p34z78x9 , 10.17632/k6p34z78x9.1
doi: 10.17632/k6p34z78x9 , 10.17632/k6p34z78x9.1
Using a 33-year-long dataset spanning a 1267-meter semi-arid elevational gradient in the southwestern United States, we test whether flowering phenology diverged among subpopulations within species and among five communities comprising 590 species. Applying circular statistics to test for changes in year-round flowering, we show flowering has become earlier for all communities except at the highest elevations. However, flowering times shifted at different rates across elevations likely due to elevation-specific changes in temperature and precipitation, indicating diverging phenologies of neighboring communities. Subpopulations of individual species also diverged at mid-elevation but converged in phenology at high elevation. phenology_data: Data on flowering phenology of 590 taxa collected by C. David Bertelsen over 33 years (1984-2016). A total 169,030 observations were recorded during 1,639 surveys. Data were collected along an 8.05-km trail in Finger Rock Canyon ascending from 945-2212 m, to Mt. Kimball in the Santa Catalina Mountains of Arizona, USA. The trail was partitioned into five elevation bands with distinct flowering assemblages (communities) during the growing seasons: 1) 945-1079 m, 2) 1079-1372 m, 3) 1372-1671 m, 4) 1671-1939 m, and 5) 1939-2212 m. Every species seen in anthesis (angiosperms) or releasing pollen (gymnosperms), together referred to as “flowering,” was recorded for each community along each 1.6-km-long trail segment on every survey. temperature_precipitation_data: Temperature and precipitation data for three locations within Finger Rock Canyon in the Santa Catalina Mountains of Arizona, USA. The 1930-2016 Parameter-elevation Regressions on Independent Slopes Model (PRISM) data was downloaded from the PRISM Climate Group, Oregon State University, (http://www.prism.oregonstate.edu/explorer/), created October 25, 2017. The gauge data was collected by C. David Bertelsen.
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Changing climate drives divergent and nonlinear shifts in flowering phenology across elevations
Research datakeyboard_double_arrow_right Dataset 2020Embargo end date: 02 Jan 2020Publisher:Mendeley
Authors: Rafferty, Nicole E.;
doi: 10.17632/k6p34z78x9 , 10.17632/k6p34z78x9.1
doi: 10.17632/k6p34z78x9 , 10.17632/k6p34z78x9.1
Using a 33-year-long dataset spanning a 1267-meter semi-arid elevational gradient in the southwestern United States, we test whether flowering phenology diverged among subpopulations within species and among five communities comprising 590 species. Applying circular statistics to test for changes in year-round flowering, we show flowering has become earlier for all communities except at the highest elevations. However, flowering times shifted at different rates across elevations likely due to elevation-specific changes in temperature and precipitation, indicating diverging phenologies of neighboring communities. Subpopulations of individual species also diverged at mid-elevation but converged in phenology at high elevation. phenology_data: Data on flowering phenology of 590 taxa collected by C. David Bertelsen over 33 years (1984-2016). A total 169,030 observations were recorded during 1,639 surveys. Data were collected along an 8.05-km trail in Finger Rock Canyon ascending from 945-2212 m, to Mt. Kimball in the Santa Catalina Mountains of Arizona, USA. The trail was partitioned into five elevation bands with distinct flowering assemblages (communities) during the growing seasons: 1) 945-1079 m, 2) 1079-1372 m, 3) 1372-1671 m, 4) 1671-1939 m, and 5) 1939-2212 m. Every species seen in anthesis (angiosperms) or releasing pollen (gymnosperms), together referred to as “flowering,” was recorded for each community along each 1.6-km-long trail segment on every survey. temperature_precipitation_data: Temperature and precipitation data for three locations within Finger Rock Canyon in the Santa Catalina Mountains of Arizona, USA. The 1930-2016 Parameter-elevation Regressions on Independent Slopes Model (PRISM) data was downloaded from the PRISM Climate Group, Oregon State University, (http://www.prism.oregonstate.edu/explorer/), created October 25, 2017. The gauge data was collected by C. David Bertelsen.
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Data for: Nonlinear grassland carbon cycling responses to precipitation variability
Research datakeyboard_double_arrow_right Dataset 2021Embargo end date: 12 Feb 2021Publisher:Mendeley
Authors: Li, Linfeng;
doi: 10.17632/5p266z2pzv , 10.17632/5p266z2pzv.1
doi: 10.17632/5p266z2pzv , 10.17632/5p266z2pzv.1
Responses of soil water content, soil inorganic nitrogen, aboveground and belowground biomass, soil respiration, ecosystem respiration, net ecosystem production, and gross ecosystem production to precipitation variability from a 3-y manipulative experiment (2004-2016) and a 12-y model simulation (2000-2011).
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Data for: Nonlinear grassland carbon cycling responses to precipitation variability
Research datakeyboard_double_arrow_right Dataset 2021Embargo end date: 12 Feb 2021Publisher:Mendeley
Authors: Li, Linfeng;
doi: 10.17632/5p266z2pzv , 10.17632/5p266z2pzv.1
doi: 10.17632/5p266z2pzv , 10.17632/5p266z2pzv.1
Responses of soil water content, soil inorganic nitrogen, aboveground and belowground biomass, soil respiration, ecosystem respiration, net ecosystem production, and gross ecosystem production to precipitation variability from a 3-y manipulative experiment (2004-2016) and a 12-y model simulation (2000-2011).
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Dataset . 2021
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Dataset . 2021
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Mendeley Dataarrow_drop_down
Mendeley Data
Dataset . 2021
License: CC BY
Data sources: Datacite
Mendeley Data
Dataset . 2021
License: CC BY
Data sources: Datacite
Mendeley Data
Dataset . 2021
License: CC BY
Data sources: Mendeley Data
Mendeley Data
Dataset . 2021
License: CC BY
Data sources: Mendeley Data
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