MASTREE+: Time-series of plant reproductive effort from six continents
Significant gaps remain in understanding the response of plant reproduction to environmental change. This is partly because measuring reproduction in long-lived plants requires direct observation over many years and such datasets have rarely been made publicly available. Here we introduce MASTREE+,...
| Main Authors: | , , , , , , , , , , , , |
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| Format: | info:ar-repo/semantics/artículo |
| Language: | Inglés |
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Wiley
2022
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| Online Access: | http://hdl.handle.net/20.500.12123/11766 https://onlinelibrary.wiley.com/doi/full/10.1111/gcb.16130 https://doi.org/10.1111/gcb.16130 |
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| author | Hacket-Pain, Andrew Foest, Jessie J. Pearse, Ian S. LaMontagne, Jalene M. Koenig, Walter D. Vacchiano, Giorgio Bogdziewicz, Michał Caignard, Thomas Celebias, Paulina Peri, Pablo Luis Ascoli, Davide Gallo, Leonardo Ariel Marchelli, Paula |
| author_browse | Ascoli, Davide Bogdziewicz, Michał Caignard, Thomas Celebias, Paulina Foest, Jessie J. Gallo, Leonardo Ariel Hacket-Pain, Andrew Koenig, Walter D. LaMontagne, Jalene M. Marchelli, Paula Pearse, Ian S. Peri, Pablo Luis Vacchiano, Giorgio |
| author_facet | Hacket-Pain, Andrew Foest, Jessie J. Pearse, Ian S. LaMontagne, Jalene M. Koenig, Walter D. Vacchiano, Giorgio Bogdziewicz, Michał Caignard, Thomas Celebias, Paulina Peri, Pablo Luis Ascoli, Davide Gallo, Leonardo Ariel Marchelli, Paula |
| author_sort | Hacket-Pain, Andrew |
| collection | INTA Digital |
| description | Significant gaps remain in understanding the response of plant reproduction to environmental change. This is partly because measuring reproduction in long-lived plants requires direct observation over many years and such datasets have rarely been made
publicly available. Here we introduce MASTREE+, a data set that collates reproductive time-series data from across the globe and makes these data freely available to the community. MASTREE+ includes 73,828 georeferenced observations of annual reproduction (e.g. seed and fruit counts) in perennial plant populations worldwide. These observations consist of 5971 population-level time-series from 974 species in 66 countries. The mean and median time-series length is 12.4 and 10 years respectively, and the data set includes 1122 series that extend over at least two decades (≥20 years of observations). For a subset of well-studied species, MASTREE+ includes extensive replication of time-series across geographical and climatic gradients. Here we describe the open-access data set, available as a.csv file, and we introduce an associated web-based app for data exploration. MASTREE+ will provide the basis for
improved understanding of the response of long-lived plant reproduction to environmental change. Additionally, MASTREE+ will enable investigation of the ecology and evolution of reproductive strategies in perennial plants, and the role of plant reproduction as a driver of ecosystem dynamics. |
| format | info:ar-repo/semantics/artículo |
| id | INTA11766 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | Wiley |
| publisherStr | Wiley |
| record_format | dspace |
| spelling | INTA117662022-04-29T15:49:43Z MASTREE+: Time-series of plant reproductive effort from six continents Hacket-Pain, Andrew Foest, Jessie J. Pearse, Ian S. LaMontagne, Jalene M. Koenig, Walter D. Vacchiano, Giorgio Bogdziewicz, Michał Caignard, Thomas Celebias, Paulina Peri, Pablo Luis Ascoli, Davide Gallo, Leonardo Ariel Marchelli, Paula Plant Ecology Demography Flowering Plant Propagation Regeneration Time Series Analysis Perennials Strategies Dryland Ecosystems Ecología Vegetal Demografía Floración Propagación de Plantas Regeneración Análisis de Series Temporales Plantas Perennes Estrategias Ecosistemas de Tierras Secas Recruitment Evolution of Reproductive Strategies Reclutamiento Evolución de las Estrategias Reproductivas Significant gaps remain in understanding the response of plant reproduction to environmental change. This is partly because measuring reproduction in long-lived plants requires direct observation over many years and such datasets have rarely been made publicly available. Here we introduce MASTREE+, a data set that collates reproductive time-series data from across the globe and makes these data freely available to the community. MASTREE+ includes 73,828 georeferenced observations of annual reproduction (e.g. seed and fruit counts) in perennial plant populations worldwide. These observations consist of 5971 population-level time-series from 974 species in 66 countries. The mean and median time-series length is 12.4 and 10 years respectively, and the data set includes 1122 series that extend over at least two decades (≥20 years of observations). For a subset of well-studied species, MASTREE+ includes extensive replication of time-series across geographical and climatic gradients. Here we describe the open-access data set, available as a.csv file, and we introduce an associated web-based app for data exploration. MASTREE+ will provide the basis for improved understanding of the response of long-lived plant reproduction to environmental change. Additionally, MASTREE+ will enable investigation of the ecology and evolution of reproductive strategies in perennial plants, and the role of plant reproduction as a driver of ecosystem dynamics. EEA Santa Cruz Fil: Hacket-Pain, Andrew. University of Liverpool. School of Environmental Sciences. Department of Geography and Planning; Reino Unido Fil: Foest, Jessie J. University of Liverpool. School of Environmental Sciences. Department of Geography and Planning; Reino Unido Fil: Pearse, Ian S. U.S. Fort Collins Science Center. Geological Survey; Estados Unidos Fil: LaMontagne, Jalene M. DePaul University. Department of Biological Sciences; Estados Unidos Fil: Koenig, Walter D. University of California Berkeley. Hastings Reservation; Estados Unidos Fil: Vacchiano, Giorgio. University of Milan. Milan Department of Agricultural and Environmental Sciences; Italia. Fil: Bogdziewicz, Michał. Adam Mickiewicz University. Faculty of Biology. Institute of Environmental Biology; Polonia Fil: Bogdziewicz, Michał. University Grenoble Alpes. INRAE, LESSEM; Francia Fil: Caignard, Thomas. Université Bordeaux. INRAE, BIOGECO; Francia Fil: Celebias, Paulina. Adam Mickiewicz University. Faculty of Biology. Institute of Environmental Biology; Polonia Fil: Peri, Pablo Luis. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina. Fil: Peri, Pablo Luis. Universidad Nacional de la Patagonia Austral; Argentina. Fil: Peri, Pablo Luis. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Fil: Ascoli, Davide. University of Torino. Department of Agricultural. Forest and Food Sciences (DISAFA); Italia Fil: Gallo, Leonardo Ariel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; Argentina Fil: Gallo, Leonardo Ariel. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina Fil: Marchelli, Paula. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; Argentina Fil: Marchelli, Paula. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina 2022-04-29T10:09:21Z 2022-04-29T10:09:21Z 2022-04-01 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/11766 https://onlinelibrary.wiley.com/doi/full/10.1111/gcb.16130 Hacket-Pain, A., Foest, J. J., Pearse, I. S., LaMontagne, J. M., Koenig, W. D., Vacchiano, G., Bogdziewicz, M., Caignard, T., Celebias, P., van Dormolen, J., Fernández-Martínez, M., Moris, J. V., Palaghianu, C., Pesendorfer, M., Satake, A., Schermer, E., Tanentzap, A. J., Thomas, P. A., Vecchio, D., Peri, P.L, … Ascoli, D. (2022). MASTREE+: Time-series of plant reproductive effort from six continents. Global Change Biology, 28, 3066– 3082. https://doi.org/10.1111/gcb.16130 1365-2486 https://doi.org/10.1111/gcb.16130 eng info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf Wiley Global Change Biology 28 (9) : 3066-3082 (May 2022) |
| spellingShingle | Plant Ecology Demography Flowering Plant Propagation Regeneration Time Series Analysis Perennials Strategies Dryland Ecosystems Ecología Vegetal Demografía Floración Propagación de Plantas Regeneración Análisis de Series Temporales Plantas Perennes Estrategias Ecosistemas de Tierras Secas Recruitment Evolution of Reproductive Strategies Reclutamiento Evolución de las Estrategias Reproductivas Hacket-Pain, Andrew Foest, Jessie J. Pearse, Ian S. LaMontagne, Jalene M. Koenig, Walter D. Vacchiano, Giorgio Bogdziewicz, Michał Caignard, Thomas Celebias, Paulina Peri, Pablo Luis Ascoli, Davide Gallo, Leonardo Ariel Marchelli, Paula MASTREE+: Time-series of plant reproductive effort from six continents |
| title | MASTREE+: Time-series of plant reproductive effort from six continents |
| title_full | MASTREE+: Time-series of plant reproductive effort from six continents |
| title_fullStr | MASTREE+: Time-series of plant reproductive effort from six continents |
| title_full_unstemmed | MASTREE+: Time-series of plant reproductive effort from six continents |
| title_short | MASTREE+: Time-series of plant reproductive effort from six continents |
| title_sort | mastree time series of plant reproductive effort from six continents |
| topic | Plant Ecology Demography Flowering Plant Propagation Regeneration Time Series Analysis Perennials Strategies Dryland Ecosystems Ecología Vegetal Demografía Floración Propagación de Plantas Regeneración Análisis de Series Temporales Plantas Perennes Estrategias Ecosistemas de Tierras Secas Recruitment Evolution of Reproductive Strategies Reclutamiento Evolución de las Estrategias Reproductivas |
| url | http://hdl.handle.net/20.500.12123/11766 https://onlinelibrary.wiley.com/doi/full/10.1111/gcb.16130 https://doi.org/10.1111/gcb.16130 |
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