Compositional variation in grassland plant communities
Human activities are altering ecological communities around the globe. Understanding the implications of these changes requires that we consider the composition of those communities. However, composition can be summarized by many metrics which in turn are influenced by different ecological processes...
| Autores principales: | , , , , , , , , , , , |
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| Formato: | Artículo |
| Lenguaje: | Inglés |
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Ecological Society of America
2023
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| Acceso en línea: | http://hdl.handle.net/20.500.12123/16027 https://esajournals.onlinelibrary.wiley.com/doi/10.1002/ecs2.4542 https://doi.org/10.1002/ecs2.4542 |
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| author | Bakker, Jonathan D. Price, Jodi N. Henning, Jeremiah A. Batzer, Evan E. Ohlert, Timothy J. Wainwright, Claire E. Adler, Peter B. Alberti, Juan Arnillas, Carlos Alberto Biederman, Lori A. Peri, Pablo Luis Wardle, Glenda M. |
| author_browse | Adler, Peter B. Alberti, Juan Arnillas, Carlos Alberto Bakker, Jonathan D. Batzer, Evan E. Biederman, Lori A. Henning, Jeremiah A. Ohlert, Timothy J. Peri, Pablo Luis Price, Jodi N. Wainwright, Claire E. Wardle, Glenda M. |
| author_facet | Bakker, Jonathan D. Price, Jodi N. Henning, Jeremiah A. Batzer, Evan E. Ohlert, Timothy J. Wainwright, Claire E. Adler, Peter B. Alberti, Juan Arnillas, Carlos Alberto Biederman, Lori A. Peri, Pablo Luis Wardle, Glenda M. |
| author_sort | Bakker, Jonathan D. |
| collection | INTA Digital |
| description | Human activities are altering ecological communities around the globe. Understanding the implications of these changes requires that we consider the composition of those communities. However, composition can be summarized by many metrics which in turn are influenced by different ecological processes. For example, incidence-based metrics strongly reflect species gains or losses, while abundance-based metrics are minimally affected by changes in the abundance of small or uncommon species. Furthermore, metrics might be correlated with different predictors. We used a globally distributed experiment to examine variation in species composition within 60 grasslands on six continents. Each site had an identical experimental and sampling design: 24 plots × 4 years. We expressed compositional variation within each site—not across sites—using abundance- and incidence-based metrics of the magnitude of dissimilarity (Bray–Curtis and Sorensen, respectively), abundance- and incidence-based measures of the relative importance of replacement (balanced variation and species turnover, respectively), and species richness at two scales (per plot-year [alpha] and per site [gamma]). Average compositional variation among all plot-years at a site was high and similar to spatial variation among plots in the pretreatment year, but lower among years in untreated plots. For both types of metrics, most variation was due to replacement rather than nestedness. Differences among sites in overall within-site compositional variation were related to several predictors. Environmental heterogeneity (expressed as the CV of total aboveground plant biomass in unfertilized plots of the site) was an important predictor for most metrics. Biomass production was a predictor of species turnover and of alpha diversity but not of other metrics. Continentality (measured as annual temperature range) was a strong predictor of Sorensen dissimilarity. Metrics of compositional variation are moderately correlated: knowing the magnitude of dissimilarity at a site provides little insight into whether the variation is driven by replacement processes. Overall, our understanding of compositional variation at a site is enhanced by considering multiple metrics simultaneously. Monitoring programs that explicitly incorporate these implications, both when designing sampling strategies and analyzing data, will have a stronger ability to understand the compositional variation of systems and to quantify the impacts of human activities. |
| format | Artículo |
| id | INTA16027 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Ecological Society of America |
| publisherStr | Ecological Society of America |
| record_format | dspace |
| spelling | INTA160272024-11-11T14:27:54Z Compositional variation in grassland plant communities Bakker, Jonathan D. Price, Jodi N. Henning, Jeremiah A. Batzer, Evan E. Ohlert, Timothy J. Wainwright, Claire E. Adler, Peter B. Alberti, Juan Arnillas, Carlos Alberto Biederman, Lori A. Peri, Pablo Luis Wardle, Glenda M. Grasslands Composition Temporal Variations Vegetation Praderas Fertilizer Application Aplicación de Abonos Spatial Variations Variaciones Espaciales Composición Variaciones temporales Vegetación Plant Community Sorensen Dissimilarity Turnover Bray–Curtis Dissimilarity NutNet Comunidad Vegetal Disimilitud Sorensen Rotación Disimilitud Bray -Curtis Fertilización Human activities are altering ecological communities around the globe. Understanding the implications of these changes requires that we consider the composition of those communities. However, composition can be summarized by many metrics which in turn are influenced by different ecological processes. For example, incidence-based metrics strongly reflect species gains or losses, while abundance-based metrics are minimally affected by changes in the abundance of small or uncommon species. Furthermore, metrics might be correlated with different predictors. We used a globally distributed experiment to examine variation in species composition within 60 grasslands on six continents. Each site had an identical experimental and sampling design: 24 plots × 4 years. We expressed compositional variation within each site—not across sites—using abundance- and incidence-based metrics of the magnitude of dissimilarity (Bray–Curtis and Sorensen, respectively), abundance- and incidence-based measures of the relative importance of replacement (balanced variation and species turnover, respectively), and species richness at two scales (per plot-year [alpha] and per site [gamma]). Average compositional variation among all plot-years at a site was high and similar to spatial variation among plots in the pretreatment year, but lower among years in untreated plots. For both types of metrics, most variation was due to replacement rather than nestedness. Differences among sites in overall within-site compositional variation were related to several predictors. Environmental heterogeneity (expressed as the CV of total aboveground plant biomass in unfertilized plots of the site) was an important predictor for most metrics. Biomass production was a predictor of species turnover and of alpha diversity but not of other metrics. Continentality (measured as annual temperature range) was a strong predictor of Sorensen dissimilarity. Metrics of compositional variation are moderately correlated: knowing the magnitude of dissimilarity at a site provides little insight into whether the variation is driven by replacement processes. Overall, our understanding of compositional variation at a site is enhanced by considering multiple metrics simultaneously. Monitoring programs that explicitly incorporate these implications, both when designing sampling strategies and analyzing data, will have a stronger ability to understand the compositional variation of systems and to quantify the impacts of human activities. EEA Santa Cruz Fil: Bakker, Jonathan D. University of Washington. School of Environmental and Forest Sciences; Estados Unidos Fil: Price, Jodi N. Charles Sturt University. Gulbali Institute; Australia. Fil: Henning, Jeremiah A. University of Minnesota. Department of Ecology, Evolution, and Behavior; Estados Unidos Fil: Henning, Jeremiah A. University of South Alabama. Department of Biology; Estados Unidos Fil: Batzer, Evan E. University of California at Davis. Department of Plant Sciences; Estados Unidos Fil: Ohlert, Timothy J. University of New Mexico. Department of Biology; Estados Unidos Fil: Wainwright, Claire E. University of Washington. School of Environmental and Forest Sciences; Estados Unidos Fil: Adler, Peter B. Utah State University. Department of Wildland Resources and the Ecology Center; Estados Unidos Fil: Alberti, Juan. Universidad Nacional de Mar del Plata. Instituto de Investigaciones Marinas y Costeras (IIMyC). Laboratorio de Ecología; Argentina. Fil: Alberti, Juan. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Fil: Arnillas, Carlos Alberto. University of Toronto – Scarborough. Department of Physical and Environmental Sciences. Scarborough; Canadá. Fil: Biederman, Lori A. Iowa State University. Department of Ecology, Evolution, and Organismal Biology; Estados Unidos Fil: Peri, Pablo Luis. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina. Fil: Peri, Pablo Luis. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Fil: Peri, Pablo Luis. Universidad Nacional de la Patagonia Austral (UNPA); Argentina. Fil: Wardle, Glenda M. University of Sydney. School of Life and Environmental Sciences. Desert Ecology Research Group; Australia 2023-11-28T10:13:44Z 2023-11-28T10:13:44Z 2023-06-08 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/16027 https://esajournals.onlinelibrary.wiley.com/doi/10.1002/ecs2.4542 Bakker J.D.; Price J.N.; Henning J.A.; Batzer E.E.; Ohlert T.J.; Wainwright C.E.; Adler P.P; Alberti J.;(…); Peri P.L.; et al. (2023) Compositional variation in grassland plant communities. Ecosphere 14: e4542. https://doi.org/10.1002/ecs2.4542 2150-8925 2150-8925 https://doi.org/10.1002/ecs2.4542 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 Ecological Society of America Ecosphere 14 (6) : e4542. (June 2023) |
| spellingShingle | Grasslands Composition Temporal Variations Vegetation Praderas Fertilizer Application Aplicación de Abonos Spatial Variations Variaciones Espaciales Composición Variaciones temporales Vegetación Plant Community Sorensen Dissimilarity Turnover Bray–Curtis Dissimilarity NutNet Comunidad Vegetal Disimilitud Sorensen Rotación Disimilitud Bray -Curtis Fertilización Bakker, Jonathan D. Price, Jodi N. Henning, Jeremiah A. Batzer, Evan E. Ohlert, Timothy J. Wainwright, Claire E. Adler, Peter B. Alberti, Juan Arnillas, Carlos Alberto Biederman, Lori A. Peri, Pablo Luis Wardle, Glenda M. Compositional variation in grassland plant communities |
| title | Compositional variation in grassland plant communities |
| title_full | Compositional variation in grassland plant communities |
| title_fullStr | Compositional variation in grassland plant communities |
| title_full_unstemmed | Compositional variation in grassland plant communities |
| title_short | Compositional variation in grassland plant communities |
| title_sort | compositional variation in grassland plant communities |
| topic | Grasslands Composition Temporal Variations Vegetation Praderas Fertilizer Application Aplicación de Abonos Spatial Variations Variaciones Espaciales Composición Variaciones temporales Vegetación Plant Community Sorensen Dissimilarity Turnover Bray–Curtis Dissimilarity NutNet Comunidad Vegetal Disimilitud Sorensen Rotación Disimilitud Bray -Curtis Fertilización |
| url | http://hdl.handle.net/20.500.12123/16027 https://esajournals.onlinelibrary.wiley.com/doi/10.1002/ecs2.4542 https://doi.org/10.1002/ecs2.4542 |
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