Multi-Directional Rather Than Unidirectional Northward-Dominant Range Shifts Predicted under Climate Change for 99 Chinese Tree Species
Climate change has a profound impact on the distribution of species on Earth. At present, there are two contrasting views explaining the direction of species range shifts. One is a single poleward (northward in the Northern Hemisphere) view, while the other is a multi-directional view (e.g., westwar...
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description | Climate change has a profound impact on the distribution of species on Earth. At present, there are two contrasting views explaining the direction of species range shifts. One is a single poleward (northward in the Northern Hemisphere) view, while the other is a multi-directional view (e.g., westward, southward, and eastward). Exploring the universality of these two views has become a key focus in climate change ecology. Here, we study the habitat range shift velocity of 99 tree species in China under future climate change scenarios using a bioclimatic envelope model (also called species distribution model) and a climate velocity method. A Monte Carlo method is used to test the consistency between the range shift pattern and stochastic process, and confusion matrices and kappa values are calculated to evaluate the consistency between the bioclimatic envelope model and climate velocity method. The results indicate that the tree species in China are generally expected to shift northwards, with northwest and northeast directions accounting for a larger proportion. The northward-shifting species are mainly distributed in the east monsoon region of China, while the multi-directional shifting species are mainly distributed in the alpine and arid regions of China. The shift directions described by the bioclimatic envelope model are inconsistent with those described by the climate velocity method. The results imply that the tree species in China support the view of the northward shift pattern but, more specifically, should be considered in terms of a multi-directional northward shift pattern. The results also emphasize that the inter-species variation in climate tolerance has been largely ignored in physical-based climate velocity methods. The development of a biological and vector operation-based climate velocity indicator may be more useful in characterizing the range shifts of species, compared to existing physical and scalar operation-based climate velocity indicators. This study provides favorable evidence for the pattern of climate change-induced range shifts in China, as well as in Eastern Asia. |
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At present, there are two contrasting views explaining the direction of species range shifts. One is a single poleward (northward in the Northern Hemisphere) view, while the other is a multi-directional view (e.g., westward, southward, and eastward). Exploring the universality of these two views has become a key focus in climate change ecology. Here, we study the habitat range shift velocity of 99 tree species in China under future climate change scenarios using a bioclimatic envelope model (also called species distribution model) and a climate velocity method. A Monte Carlo method is used to test the consistency between the range shift pattern and stochastic process, and confusion matrices and kappa values are calculated to evaluate the consistency between the bioclimatic envelope model and climate velocity method. The results indicate that the tree species in China are generally expected to shift northwards, with northwest and northeast directions accounting for a larger proportion. The northward-shifting species are mainly distributed in the east monsoon region of China, while the multi-directional shifting species are mainly distributed in the alpine and arid regions of China. The shift directions described by the bioclimatic envelope model are inconsistent with those described by the climate velocity method. The results imply that the tree species in China support the view of the northward shift pattern but, more specifically, should be considered in terms of a multi-directional northward shift pattern. The results also emphasize that the inter-species variation in climate tolerance has been largely ignored in physical-based climate velocity methods. The development of a biological and vector operation-based climate velocity indicator may be more useful in characterizing the range shifts of species, compared to existing physical and scalar operation-based climate velocity indicators. This study provides favorable evidence for the pattern of climate change-induced range shifts in China, as well as in Eastern Asia.</description><identifier>ISSN: 1999-4907</identifier><identifier>EISSN: 1999-4907</identifier><identifier>DOI: 10.3390/f13101619</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Arid regions ; Arid zones ; Bioclimatology ; Biodiversity ; Biometeorology ; Climate change ; Climate prediction ; Climatic changes ; Consistency ; Distribution ; Ecosystems ; Endangered & extinct species ; Environmental aspects ; Geographical distribution ; Habitats ; Hypotheses ; Monte Carlo simulation ; Northern Hemisphere ; Plant species ; Simulation ; Species ; Stochastic processes ; Topography ; Trees ; Vegetation and climate ; Velocity ; Wind</subject><ispartof>Forests, 2022-10, Vol.13 (10), p.1619</ispartof><rights>COPYRIGHT 2022 MDPI AG</rights><rights>2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c261t-934a9a7903ed0d0b7b3315465b586f2fcadc8768d40f73ef1bbb842b20d9cfc73</citedby><cites>FETCH-LOGICAL-c261t-934a9a7903ed0d0b7b3315465b586f2fcadc8768d40f73ef1bbb842b20d9cfc73</cites><orcidid>0000-0003-1767-3052</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Li, Guoqing</creatorcontrib><creatorcontrib>Huang, Jinghua</creatorcontrib><title>Multi-Directional Rather Than Unidirectional Northward-Dominant Range Shifts Predicted under Climate Change for 99 Chinese Tree Species</title><title>Forests</title><description>Climate change has a profound impact on the distribution of species on Earth. At present, there are two contrasting views explaining the direction of species range shifts. One is a single poleward (northward in the Northern Hemisphere) view, while the other is a multi-directional view (e.g., westward, southward, and eastward). Exploring the universality of these two views has become a key focus in climate change ecology. Here, we study the habitat range shift velocity of 99 tree species in China under future climate change scenarios using a bioclimatic envelope model (also called species distribution model) and a climate velocity method. A Monte Carlo method is used to test the consistency between the range shift pattern and stochastic process, and confusion matrices and kappa values are calculated to evaluate the consistency between the bioclimatic envelope model and climate velocity method. The results indicate that the tree species in China are generally expected to shift northwards, with northwest and northeast directions accounting for a larger proportion. The northward-shifting species are mainly distributed in the east monsoon region of China, while the multi-directional shifting species are mainly distributed in the alpine and arid regions of China. The shift directions described by the bioclimatic envelope model are inconsistent with those described by the climate velocity method. The results imply that the tree species in China support the view of the northward shift pattern but, more specifically, should be considered in terms of a multi-directional northward shift pattern. The results also emphasize that the inter-species variation in climate tolerance has been largely ignored in physical-based climate velocity methods. The development of a biological and vector operation-based climate velocity indicator may be more useful in characterizing the range shifts of species, compared to existing physical and scalar operation-based climate velocity indicators. This study provides favorable evidence for the pattern of climate change-induced range shifts in China, as well as in Eastern Asia.</description><subject>Arid regions</subject><subject>Arid zones</subject><subject>Bioclimatology</subject><subject>Biodiversity</subject><subject>Biometeorology</subject><subject>Climate change</subject><subject>Climate prediction</subject><subject>Climatic changes</subject><subject>Consistency</subject><subject>Distribution</subject><subject>Ecosystems</subject><subject>Endangered & extinct species</subject><subject>Environmental aspects</subject><subject>Geographical distribution</subject><subject>Habitats</subject><subject>Hypotheses</subject><subject>Monte Carlo simulation</subject><subject>Northern Hemisphere</subject><subject>Plant species</subject><subject>Simulation</subject><subject>Species</subject><subject>Stochastic processes</subject><subject>Topography</subject><subject>Trees</subject><subject>Vegetation and climate</subject><subject>Velocity</subject><subject>Wind</subject><issn>1999-4907</issn><issn>1999-4907</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNpNUctKxDAULaKgqAv_IODKRTVp0qZZDuMTfKHjuqTJjc3QScYkRfwCf9voiHjv4r7OOXA5RXFE8CmlAp8ZQgkmDRFbxR4RQpRMYL79r98tDmNc4hw1b0XF9orPu2lMtjy3AVSy3skRPck0QECLQTr04qz-d7r3IQ3vMujy3K-sky5ltHsF9DxYkyJ6DKCtSqDR5HTWmI92JROg-fCDMj4gIfJkHURAiwCZuQZlIR4UO0aOEQ5_637xcnmxmF-Xtw9XN_PZbamqhqRSUCaF5AJT0FjjnveUkpo1dV-3jamMklq1vGk1w4ZTMKTv-5ZVfYW1UEZxul8cb3TXwb9NEFO39FPIv8Wu4lXLGlHzJqNON6hXOUJnnfEpSJVTw8oq78DYvJ9xVnPcsppmwsmGoIKPMYDp1iG_Hj46grtvb7o_b-gX292BVA</recordid><startdate>20221001</startdate><enddate>20221001</enddate><creator>Li, Guoqing</creator><creator>Huang, Jinghua</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SN</scope><scope>7SS</scope><scope>7X2</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>M0K</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYCSY</scope><orcidid>https://orcid.org/0000-0003-1767-3052</orcidid></search><sort><creationdate>20221001</creationdate><title>Multi-Directional Rather Than Unidirectional Northward-Dominant Range Shifts Predicted under Climate Change for 99 Chinese Tree Species</title><author>Li, Guoqing ; Huang, Jinghua</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c261t-934a9a7903ed0d0b7b3315465b586f2fcadc8768d40f73ef1bbb842b20d9cfc73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Arid regions</topic><topic>Arid zones</topic><topic>Bioclimatology</topic><topic>Biodiversity</topic><topic>Biometeorology</topic><topic>Climate change</topic><topic>Climate prediction</topic><topic>Climatic changes</topic><topic>Consistency</topic><topic>Distribution</topic><topic>Ecosystems</topic><topic>Endangered & extinct species</topic><topic>Environmental aspects</topic><topic>Geographical distribution</topic><topic>Habitats</topic><topic>Hypotheses</topic><topic>Monte Carlo simulation</topic><topic>Northern Hemisphere</topic><topic>Plant species</topic><topic>Simulation</topic><topic>Species</topic><topic>Stochastic processes</topic><topic>Topography</topic><topic>Trees</topic><topic>Vegetation and climate</topic><topic>Velocity</topic><topic>Wind</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Guoqing</creatorcontrib><creatorcontrib>Huang, Jinghua</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Agricultural Science Collection</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Agricultural Science Database</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Environmental Science Collection</collection><jtitle>Forests</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Guoqing</au><au>Huang, Jinghua</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multi-Directional Rather Than Unidirectional Northward-Dominant Range Shifts Predicted under Climate Change for 99 Chinese Tree Species</atitle><jtitle>Forests</jtitle><date>2022-10-01</date><risdate>2022</risdate><volume>13</volume><issue>10</issue><spage>1619</spage><pages>1619-</pages><issn>1999-4907</issn><eissn>1999-4907</eissn><abstract>Climate change has a profound impact on the distribution of species on Earth. At present, there are two contrasting views explaining the direction of species range shifts. One is a single poleward (northward in the Northern Hemisphere) view, while the other is a multi-directional view (e.g., westward, southward, and eastward). Exploring the universality of these two views has become a key focus in climate change ecology. Here, we study the habitat range shift velocity of 99 tree species in China under future climate change scenarios using a bioclimatic envelope model (also called species distribution model) and a climate velocity method. A Monte Carlo method is used to test the consistency between the range shift pattern and stochastic process, and confusion matrices and kappa values are calculated to evaluate the consistency between the bioclimatic envelope model and climate velocity method. The results indicate that the tree species in China are generally expected to shift northwards, with northwest and northeast directions accounting for a larger proportion. The northward-shifting species are mainly distributed in the east monsoon region of China, while the multi-directional shifting species are mainly distributed in the alpine and arid regions of China. The shift directions described by the bioclimatic envelope model are inconsistent with those described by the climate velocity method. The results imply that the tree species in China support the view of the northward shift pattern but, more specifically, should be considered in terms of a multi-directional northward shift pattern. The results also emphasize that the inter-species variation in climate tolerance has been largely ignored in physical-based climate velocity methods. The development of a biological and vector operation-based climate velocity indicator may be more useful in characterizing the range shifts of species, compared to existing physical and scalar operation-based climate velocity indicators. This study provides favorable evidence for the pattern of climate change-induced range shifts in China, as well as in Eastern Asia.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/f13101619</doi><orcidid>https://orcid.org/0000-0003-1767-3052</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Arid regions Arid zones Bioclimatology Biodiversity Biometeorology Climate change Climate prediction Climatic changes Consistency Distribution Ecosystems Endangered & extinct species Environmental aspects Geographical distribution Habitats Hypotheses Monte Carlo simulation Northern Hemisphere Plant species Simulation Species Stochastic processes Topography Trees Vegetation and climate Velocity Wind |
title | Multi-Directional Rather Than Unidirectional Northward-Dominant Range Shifts Predicted under Climate Change for 99 Chinese Tree Species |
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