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Temporal rarity is a better predictor of local extinction risk than spatial rarity

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Temporal rarity is a better predictor of local extinction risk than spatial rarity. / Wilfahrt, P.A.; Asmus, A.L.; Seabloom, E.W.; Henning, J.A.; Adler, P.; Arnillas, C.A.; Bakker, J.D.; Biederman, L.; Brudvig, L.A.; Cadotte, M.; Daleo, P.; Eskelinen, A.; Firn, J.; Harpole, W.S.; Hautier, Y.; Kirkman, K.P.; Komatsu, K.J.; Laungani, R.; MacDougall, A.; McCulley, R.L.; Moore, J.L.; Morgan, J.W.; Mortensen, B.; Ochoa Hueso, R.; Ohlert, T.; Power, S.A.; Price, J.; Risch, A.C.; Schuetz, M.; Shoemaker, L.; Stevens, C.; Strauss, A.T.; Tognetti, P.M.; Virtanen, R.; Borer, E.T.

In: Ecology, Vol. 102, No. 11, e03504, 30.11.2021.

Research output: Contribution to journalJournal articlepeer-review

Harvard

Wilfahrt, PA, Asmus, AL, Seabloom, EW, Henning, JA, Adler, P, Arnillas, CA, Bakker, JD, Biederman, L, Brudvig, LA, Cadotte, M, Daleo, P, Eskelinen, A, Firn, J, Harpole, WS, Hautier, Y, Kirkman, KP, Komatsu, KJ, Laungani, R, MacDougall, A, McCulley, RL, Moore, JL, Morgan, JW, Mortensen, B, Ochoa Hueso, R, Ohlert, T, Power, SA, Price, J, Risch, AC, Schuetz, M, Shoemaker, L, Stevens, C, Strauss, AT, Tognetti, PM, Virtanen, R & Borer, ET 2021, 'Temporal rarity is a better predictor of local extinction risk than spatial rarity', Ecology, vol. 102, no. 11, e03504. https://doi.org/10.1002/ecy.3504

APA

Wilfahrt, P. A., Asmus, A. L., Seabloom, E. W., Henning, J. A., Adler, P., Arnillas, C. A., Bakker, J. D., Biederman, L., Brudvig, L. A., Cadotte, M., Daleo, P., Eskelinen, A., Firn, J., Harpole, W. S., Hautier, Y., Kirkman, K. P., Komatsu, K. J., Laungani, R., MacDougall, A., ... Borer, E. T. (2021). Temporal rarity is a better predictor of local extinction risk than spatial rarity. Ecology, 102(11), [e03504]. https://doi.org/10.1002/ecy.3504

Vancouver

Wilfahrt PA, Asmus AL, Seabloom EW, Henning JA, Adler P, Arnillas CA et al. Temporal rarity is a better predictor of local extinction risk than spatial rarity. Ecology. 2021 Nov 30;102(11). e03504. https://doi.org/10.1002/ecy.3504

Author

Wilfahrt, P.A. ; Asmus, A.L. ; Seabloom, E.W. ; Henning, J.A. ; Adler, P. ; Arnillas, C.A. ; Bakker, J.D. ; Biederman, L. ; Brudvig, L.A. ; Cadotte, M. ; Daleo, P. ; Eskelinen, A. ; Firn, J. ; Harpole, W.S. ; Hautier, Y. ; Kirkman, K.P. ; Komatsu, K.J. ; Laungani, R. ; MacDougall, A. ; McCulley, R.L. ; Moore, J.L. ; Morgan, J.W. ; Mortensen, B. ; Ochoa Hueso, R. ; Ohlert, T. ; Power, S.A. ; Price, J. ; Risch, A.C. ; Schuetz, M. ; Shoemaker, L. ; Stevens, C. ; Strauss, A.T. ; Tognetti, P.M. ; Virtanen, R. ; Borer, E.T. / Temporal rarity is a better predictor of local extinction risk than spatial rarity. In: Ecology. 2021 ; Vol. 102, No. 11.

Bibtex

@article{9bddcd23f4a14b349b768411ad821bc2,
title = "Temporal rarity is a better predictor of local extinction risk than spatial rarity",
abstract = "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 following experimental 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 long-term 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. ",
keywords = "core-transient, extinction risk, grasslands, herbivores, NutNet, nutrients, rarity",
author = "P.A. Wilfahrt and A.L. Asmus and E.W. Seabloom and J.A. Henning and P. Adler and C.A. Arnillas and J.D. Bakker and L. Biederman and L.A. Brudvig and M. Cadotte and P. Daleo and A. Eskelinen and J. Firn and W.S. Harpole and Y. Hautier and K.P. Kirkman and K.J. Komatsu and R. Laungani and A. MacDougall and R.L. McCulley and J.L. Moore and J.W. Morgan and B. Mortensen and {Ochoa Hueso}, R. and T. Ohlert and S.A. Power and J. Price and A.C. Risch and M. Schuetz and L. Shoemaker and C. Stevens and A.T. Strauss and P.M. Tognetti and R. Virtanen and E.T. Borer",
year = "2021",
month = nov,
day = "30",
doi = "10.1002/ecy.3504",
language = "English",
volume = "102",
journal = "Ecology",
issn = "0012-9658",
publisher = "Ecological Society of America",
number = "11",

}

RIS

TY - JOUR

T1 - Temporal rarity is a better predictor of local extinction risk than spatial rarity

AU - Wilfahrt, P.A.

AU - Asmus, A.L.

AU - Seabloom, E.W.

AU - Henning, J.A.

AU - Adler, P.

AU - Arnillas, C.A.

AU - Bakker, J.D.

AU - Biederman, L.

AU - Brudvig, L.A.

AU - Cadotte, M.

AU - Daleo, P.

AU - Eskelinen, A.

AU - Firn, J.

AU - Harpole, W.S.

AU - Hautier, Y.

AU - Kirkman, K.P.

AU - Komatsu, K.J.

AU - Laungani, R.

AU - MacDougall, A.

AU - McCulley, R.L.

AU - Moore, J.L.

AU - Morgan, J.W.

AU - Mortensen, B.

AU - Ochoa Hueso, R.

AU - Ohlert, T.

AU - Power, S.A.

AU - Price, J.

AU - Risch, A.C.

AU - Schuetz, M.

AU - Shoemaker, L.

AU - Stevens, C.

AU - Strauss, A.T.

AU - Tognetti, P.M.

AU - Virtanen, R.

AU - Borer, E.T.

PY - 2021/11/30

Y1 - 2021/11/30

N2 - 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 following experimental 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 long-term 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.

AB - 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 following experimental 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 long-term 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.

KW - core-transient

KW - extinction risk

KW - grasslands

KW - herbivores

KW - NutNet

KW - nutrients

KW - rarity

U2 - 10.1002/ecy.3504

DO - 10.1002/ecy.3504

M3 - Journal article

VL - 102

JO - Ecology

JF - Ecology

SN - 0012-9658

IS - 11

M1 - e03504

ER -