Winter conditions structure extratropical patterns of species richness of amphibians, birds and mammals globally

Aim The aim was to derive global indices of winter conditions and examine their relationships with species richness patterns outside of the tropics. Location All extratropical areas (>25° N and 25° S latitudes), excluding islands. Time period 2000–2018. Major taxa studied Amphibians, birds and ma...

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Veröffentlicht in:Global ecology and biogeography 2022-07, Vol.31 (7), p.1366-1380
Hauptverfasser: Gudex‐Cross, David, Zhu, Likai, Keyser, Spencer R., Zuckerberg, Benjamin, Pauli, Jonathan N., Radeloff, Volker C., Fleishman, Erica
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container_end_page 1380
container_issue 7
container_start_page 1366
container_title Global ecology and biogeography
container_volume 31
creator Gudex‐Cross, David
Zhu, Likai
Keyser, Spencer R.
Zuckerberg, Benjamin
Pauli, Jonathan N.
Radeloff, Volker C.
Fleishman, Erica
description Aim The aim was to derive global indices of winter conditions and examine their relationships with species richness patterns outside of the tropics. Location All extratropical areas (>25° N and 25° S latitudes), excluding islands. Time period 2000–2018. Major taxa studied Amphibians, birds and mammals. Methods We mapped three global indices of winter conditions [number of days of frozen ground (length of frozen ground winter); snow cover variability; and lack of subnivium (below‐snow refuge)] from satellite data, then used generalized additive models to examine their relationships with species richness patterns derived from range data. Results Length of frozen ground winter was the strongest predictor of species richness, with a consistent cross‐taxonomic decline in species richness occurring beyond 3 months of winter. It also often outperformed other environmental predictors of species richness patterns commonly used in biodiversity studies, including climate variables, primary productivity and elevation. In areas with ≥3 months of winter conditions, all three winter indices explained much of the deviance in amphibian, mammal and resident bird species richness. Mammals exhibited a stronger relationship with snow cover variability and lack of subnivium than the other taxa. Species richness of fully migratory species of birds peaked at c. 5.5 months of winter, coinciding with low species richness of residents. Main conclusions Our study demonstrates that winter structures latitudinal and elevational gradients of extratropical terrestrial species richness. In a rapidly warming world, tracking the seasonal dynamics of frozen ground and snow cover will be essential for predicting the consequences of climate change on species, communities and ecosystems. The indices of winter conditions we developed from satellite imagery provide an effective means of monitoring these dynamics into the future.
doi_str_mv 10.1111/geb.13511
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Location All extratropical areas (&gt;25° N and 25° S latitudes), excluding islands. Time period 2000–2018. Major taxa studied Amphibians, birds and mammals. Methods We mapped three global indices of winter conditions [number of days of frozen ground (length of frozen ground winter); snow cover variability; and lack of subnivium (below‐snow refuge)] from satellite data, then used generalized additive models to examine their relationships with species richness patterns derived from range data. Results Length of frozen ground winter was the strongest predictor of species richness, with a consistent cross‐taxonomic decline in species richness occurring beyond 3 months of winter. It also often outperformed other environmental predictors of species richness patterns commonly used in biodiversity studies, including climate variables, primary productivity and elevation. In areas with ≥3 months of winter conditions, all three winter indices explained much of the deviance in amphibian, mammal and resident bird species richness. Mammals exhibited a stronger relationship with snow cover variability and lack of subnivium than the other taxa. Species richness of fully migratory species of birds peaked at c. 5.5 months of winter, coinciding with low species richness of residents. Main conclusions Our study demonstrates that winter structures latitudinal and elevational gradients of extratropical terrestrial species richness. In a rapidly warming world, tracking the seasonal dynamics of frozen ground and snow cover will be essential for predicting the consequences of climate change on species, communities and ecosystems. The indices of winter conditions we developed from satellite imagery provide an effective means of monitoring these dynamics into the future.</description><identifier>ISSN: 1466-822X</identifier><identifier>EISSN: 1466-8238</identifier><identifier>DOI: 10.1111/geb.13511</identifier><language>eng</language><publisher>Oxford: Wiley Subscription Services, Inc</publisher><subject>Amphibians ; Biodiversity ; Birds ; climate ; Climate change ; cryosphere ; Frozen ground ; Mammals ; Migratory birds ; Migratory species ; Population decline ; remote sensing ; Reptiles &amp; amphibians ; Satellite imagery ; Seasonal variations ; Snow ; Snow cover ; Species richness ; Taxa ; Terrestrial environments ; terrestrial vertebrates ; Tropical environments ; Variability ; Winter ; winter ecology</subject><ispartof>Global ecology and biogeography, 2022-07, Vol.31 (7), p.1366-1380</ispartof><rights>2022 John Wiley &amp; Sons Ltd</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3321-64731a3a4884764f29f09f1fef634308fa2656347a0d2d80813e7b123ac1ad263</citedby><cites>FETCH-LOGICAL-c3321-64731a3a4884764f29f09f1fef634308fa2656347a0d2d80813e7b123ac1ad263</cites><orcidid>0000-0001-5908-6628 ; 0000-0001-6939-7753 ; 0000-0003-4777-4129 ; 0000-0001-7524-9677 ; 0000-0001-7412-4354</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fgeb.13511$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fgeb.13511$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids></links><search><creatorcontrib>Gudex‐Cross, David</creatorcontrib><creatorcontrib>Zhu, Likai</creatorcontrib><creatorcontrib>Keyser, Spencer R.</creatorcontrib><creatorcontrib>Zuckerberg, Benjamin</creatorcontrib><creatorcontrib>Pauli, Jonathan N.</creatorcontrib><creatorcontrib>Radeloff, Volker C.</creatorcontrib><creatorcontrib>Fleishman, Erica</creatorcontrib><title>Winter conditions structure extratropical patterns of species richness of amphibians, birds and mammals globally</title><title>Global ecology and biogeography</title><description>Aim The aim was to derive global indices of winter conditions and examine their relationships with species richness patterns outside of the tropics. 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In areas with ≥3 months of winter conditions, all three winter indices explained much of the deviance in amphibian, mammal and resident bird species richness. Mammals exhibited a stronger relationship with snow cover variability and lack of subnivium than the other taxa. Species richness of fully migratory species of birds peaked at c. 5.5 months of winter, coinciding with low species richness of residents. Main conclusions Our study demonstrates that winter structures latitudinal and elevational gradients of extratropical terrestrial species richness. In a rapidly warming world, tracking the seasonal dynamics of frozen ground and snow cover will be essential for predicting the consequences of climate change on species, communities and ecosystems. 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Location All extratropical areas (&gt;25° N and 25° S latitudes), excluding islands. Time period 2000–2018. Major taxa studied Amphibians, birds and mammals. Methods We mapped three global indices of winter conditions [number of days of frozen ground (length of frozen ground winter); snow cover variability; and lack of subnivium (below‐snow refuge)] from satellite data, then used generalized additive models to examine their relationships with species richness patterns derived from range data. Results Length of frozen ground winter was the strongest predictor of species richness, with a consistent cross‐taxonomic decline in species richness occurring beyond 3 months of winter. It also often outperformed other environmental predictors of species richness patterns commonly used in biodiversity studies, including climate variables, primary productivity and elevation. In areas with ≥3 months of winter conditions, all three winter indices explained much of the deviance in amphibian, mammal and resident bird species richness. Mammals exhibited a stronger relationship with snow cover variability and lack of subnivium than the other taxa. Species richness of fully migratory species of birds peaked at c. 5.5 months of winter, coinciding with low species richness of residents. Main conclusions Our study demonstrates that winter structures latitudinal and elevational gradients of extratropical terrestrial species richness. In a rapidly warming world, tracking the seasonal dynamics of frozen ground and snow cover will be essential for predicting the consequences of climate change on species, communities and ecosystems. 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1466-8238
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source Wiley-Blackwell Journals
subjects Amphibians
Biodiversity
Birds
climate
Climate change
cryosphere
Frozen ground
Mammals
Migratory birds
Migratory species
Population decline
remote sensing
Reptiles & amphibians
Satellite imagery
Seasonal variations
Snow
Snow cover
Species richness
Taxa
Terrestrial environments
terrestrial vertebrates
Tropical environments
Variability
Winter
winter ecology
title Winter conditions structure extratropical patterns of species richness of amphibians, birds and mammals globally
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