Temporal rarity is a better predictor of local extinction risk than spatial rarity
Spatial rarity is often used to predict extinction risk, but rarity can also occur temporally. Perhaps more relevant in the context of global change is whether a species is core to a community (persistent) or transient (intermittently present), with transient species often susceptible to human activ...
Guardado en:
| Otros Autores: | , , , , , , , |
|---|---|
| Formato: | Artículo |
| Lenguaje: | Inglés |
| Materias: | |
| Acceso en línea: | http://ri.agro.uba.ar/files/intranet/articulo/2021wilfahrt.pdf Material complementario LINK AL EDITOR |
| Aporte de: | Registro referencial: Solicitar el recurso aquí |
| LEADER | 04291cab a22004457a 4500 | ||
|---|---|---|---|
| 001 | 20220927111134.0 | ||
| 003 | AR-BaUFA | ||
| 005 | 20230331141421.0 | ||
| 008 | 220927t2021 xxud||||o|||| 00| 0 eng d | ||
| 999 | |c 54999 |d 54999 | ||
| 999 | |d 54999 | ||
| 999 | |d 54999 | ||
| 022 | |a 0012-9658 | ||
| 024 | |a 10.1002/ecy.3504 | ||
| 040 | |a AR-BaUFA |c AR-BaUFA | ||
| 245 | 1 | 0 | |a Temporal rarity is a better predictor of local extinction risk than spatial rarity |
| 500 | |a Data and R code (Wilfahrt et al. 2021) used for all analyses in this paper are available on the EDI data portal: https://doi.org/10. 6073/pasta/e21f6c3cd2615b9295f9e493f6c04591 | ||
| 520 | |a Spatial rarity is often used to predict extinction risk, but rarity can also occur temporally. Perhaps more relevant in the context of global change is whether a species is core to a community (persistent) or transient (intermittently present), with transient species often susceptible to human activities that reduce niche space. Using 5–12 yr of data on 1,447 plant species from 49 grasslands on five continents, we show that local abundance and species persistence under ambient conditions are both effective predictors of local extinction risk followingexperimental exclusion of grazers or addition of nutrients; persistence was a more powerful predictor than local abundance. While perturbations increased the risk of exclusion for low persistence and abundance species, transient but abundant species were also highly likely to be excluded from a perturbed plot relative to ambient conditions. Moreover, low persistence and low abundance species that were not excluded from perturbed plots tended to have a modest increase in abundance following perturbance. Last, even core species with high abundances had large decreases in persistence and increased losses in perturbed plots, threatening the longterm stability of these grasslands. Our results demonstrate that expanding the concept of rarity to include temporal dynamics, in addition to local abundance, more effectively predicts extinction risk in response to environmental change than either rarity axis predicts alone. | ||
| 653 | |a CORE - TRANSIENT | ||
| 653 | |a EXTINCTION RISK | ||
| 653 | |a GRASSLANDS | ||
| 653 | |a HERBIVORES | ||
| 653 | |a NUTNET | ||
| 653 | |a NUTRIENTS | ||
| 653 | |a RARITY | ||
| 700 | 1 | |a Wilfahrt, Peter A. |u University of Minnesota. Department of Ecology, Evolution, and Behavior. St. Paul, Minnesota, USA. |9 74071 | |
| 700 | 1 | |a Asmus, Ashley l. |u University of Minnesota. Department of Ecology, Evolution, and Behavior. St. Paul, Minnesota, USA. |9 74072 | |
| 700 | 1 | |a Seabloom, Eric W. |u University of Minnesota. Department of Ecology, Evolution, and Behavior. St. Paul, Minnesota, USA. |9 67817 | |
| 700 | 1 | |a Henning, Jeremiah A. |u University of Minnesota. Department of Ecology, Evolution, and Behavior. St. Paul, Minnesota, USA. |u University of South Alabama. Department of Biology. Mobile, Alabama, USA. |9 74073 | |
| 700 | 1 | |a Adler, Peter B. |u Utah State University. Department of Wildland Resources and the Ecology Center. Logan, Utah, USA. |9 67289 | |
| 700 | 1 | |a Arnillas, Carlos A. |u University of Toronto Scarborough. Department of Physical and Environmental Sciences. Toronto, Ontario, Canada. |9 74074 | |
| 700 | 1 | |a Bakker, Jonathan D. |u University of Washington. School of Environmental and Forest Sciences. Seattle, Washington, USA. |9 73959 | |
| 700 | 1 | |a Tognetti, Pedro Maximiliano |u Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA). Buenos Aires, Argentina. |u CONICET – Universidad de Buenos Aires. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA). Buenos Aires, Argentina. |9 12692 | |
| 773 | 0 | |t Ecology |g Vol.102, no.11 (2021), e03504, 13 p., tbls., grafs. |w (AR-BaUFA)SECS000073 | |
| 856 | |f 2021wilfahrt |i En reservorio |q application/pdf |u http://ri.agro.uba.ar/files/intranet/articulo/2021wilfahrt.pdf |x ARTI202210 | ||
| 856 | |f 2021wilfahrt-c1 |i En reservorio |q application/pdf |u http://ri.agro.uba.ar/files/intranet/articulo/2021wilfahrt-c1.pdf |z Material complementario | ||
| 856 | |u http://www.esa.org/esa/ |z LINK AL EDITOR | ||
| 942 | |c ARTICULO |n 1 | ||
| 942 | |c ENLINEA | ||
| 976 | |a AAG | ||