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 |
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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 |
format | Article |
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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.</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 & 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 & 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.
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.</description><subject>Amphibians</subject><subject>Biodiversity</subject><subject>Birds</subject><subject>climate</subject><subject>Climate change</subject><subject>cryosphere</subject><subject>Frozen ground</subject><subject>Mammals</subject><subject>Migratory birds</subject><subject>Migratory species</subject><subject>Population decline</subject><subject>remote sensing</subject><subject>Reptiles & amphibians</subject><subject>Satellite imagery</subject><subject>Seasonal variations</subject><subject>Snow</subject><subject>Snow cover</subject><subject>Species richness</subject><subject>Taxa</subject><subject>Terrestrial environments</subject><subject>terrestrial vertebrates</subject><subject>Tropical environments</subject><subject>Variability</subject><subject>Winter</subject><subject>winter ecology</subject><issn>1466-822X</issn><issn>1466-8238</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp1kE9LAzEQxYMoWKsHv0HAk-C2-bfZ7VFLrULBi6K3kM0mbcruZk2yaL-90RVvzmXeDL95Aw-AS4xmONV8q6sZpjnGR2CCGedZSWh5_KfJ2yk4C2GPEMpZziegf7Vd1B4q19U2WtcFGKIfVBy8hvozehm9662SDexlTGQCnIGh18rqAL1Vu06Hn51s-52trOzCDaysrwOUXQ1b2bayCXDbuEo2zeEcnJg064vfPgUv96vn5UO2eVo_Lm83maKU4IyzgmJJJStLVnBmyMKghcFGG04ZRaWRhOdJFhLVpC5RiakuKkyoVFjWhNMpuBp9e-_eBx2i2LvBd-mlILwoyIKRnCXqeqSUdyF4bUTvbSv9QWAkvgMVKVDxE2hi5yP7YRt9-B8U69XdePEFClJ4QA</recordid><startdate>202207</startdate><enddate>202207</enddate><creator>Gudex‐Cross, David</creator><creator>Zhu, Likai</creator><creator>Keyser, Spencer R.</creator><creator>Zuckerberg, Benjamin</creator><creator>Pauli, Jonathan N.</creator><creator>Radeloff, Volker C.</creator><creator>Fleishman, Erica</creator><general>Wiley Subscription Services, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QG</scope><scope>7SN</scope><scope>7SS</scope><scope>7ST</scope><scope>7U6</scope><scope>C1K</scope><orcidid>https://orcid.org/0000-0001-5908-6628</orcidid><orcidid>https://orcid.org/0000-0001-6939-7753</orcidid><orcidid>https://orcid.org/0000-0003-4777-4129</orcidid><orcidid>https://orcid.org/0000-0001-7524-9677</orcidid><orcidid>https://orcid.org/0000-0001-7412-4354</orcidid></search><sort><creationdate>202207</creationdate><title>Winter conditions structure extratropical patterns of species richness of amphibians, birds and mammals globally</title><author>Gudex‐Cross, David ; Zhu, Likai ; Keyser, Spencer R. ; Zuckerberg, Benjamin ; Pauli, Jonathan N. ; Radeloff, Volker C. ; Fleishman, Erica</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3321-64731a3a4884764f29f09f1fef634308fa2656347a0d2d80813e7b123ac1ad263</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Amphibians</topic><topic>Biodiversity</topic><topic>Birds</topic><topic>climate</topic><topic>Climate change</topic><topic>cryosphere</topic><topic>Frozen ground</topic><topic>Mammals</topic><topic>Migratory birds</topic><topic>Migratory species</topic><topic>Population decline</topic><topic>remote sensing</topic><topic>Reptiles & amphibians</topic><topic>Satellite imagery</topic><topic>Seasonal variations</topic><topic>Snow</topic><topic>Snow cover</topic><topic>Species richness</topic><topic>Taxa</topic><topic>Terrestrial environments</topic><topic>terrestrial vertebrates</topic><topic>Tropical environments</topic><topic>Variability</topic><topic>Winter</topic><topic>winter ecology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><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><collection>CrossRef</collection><collection>Animal Behavior Abstracts</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Environment Abstracts</collection><collection>Sustainability Science Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><jtitle>Global ecology and biogeography</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gudex‐Cross, David</au><au>Zhu, Likai</au><au>Keyser, Spencer R.</au><au>Zuckerberg, Benjamin</au><au>Pauli, Jonathan N.</au><au>Radeloff, Volker C.</au><au>Fleishman, Erica</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Winter conditions structure extratropical patterns of species richness of amphibians, birds and mammals globally</atitle><jtitle>Global ecology and biogeography</jtitle><date>2022-07</date><risdate>2022</risdate><volume>31</volume><issue>7</issue><spage>1366</spage><epage>1380</epage><pages>1366-1380</pages><issn>1466-822X</issn><eissn>1466-8238</eissn><abstract>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.</abstract><cop>Oxford</cop><pub>Wiley Subscription Services, Inc</pub><doi>10.1111/geb.13511</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0001-5908-6628</orcidid><orcidid>https://orcid.org/0000-0001-6939-7753</orcidid><orcidid>https://orcid.org/0000-0003-4777-4129</orcidid><orcidid>https://orcid.org/0000-0001-7524-9677</orcidid><orcidid>https://orcid.org/0000-0001-7412-4354</orcidid><oa>free_for_read</oa></addata></record> |
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language | eng |
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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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