Recovery of woody plant species richness in secondary forests in China: a meta-analysis.
Identifieur interne : 000464 ( PubMed/Checkpoint ); précédent : 000463; suivant : 000465Recovery of woody plant species richness in secondary forests in China: a meta-analysis.
Auteurs : Xiaofei Liu [République populaire de Chine] ; Xuehua Liu [République populaire de Chine] ; Andrew Skidmore [Pays-Bas] ; Claude Garcia [Suisse]Source :
- Scientific reports [ 2045-2322 ] ; 2017.
Abstract
There is considerable uncertainty concerning changes in plant diversity of Chinese secondary forests, particularly with respect to diversity recovery following anthropogenic disturbance. Here we present a meta-analysis of the recovery of woody plant species richness in secondary forests in China, with nearby primary forests as a reference. A total of 125 pairs of secondary-primary forest data reported in 55 publications were identified across China. We analyzed the data by region and logging history to examine their influences on secondary forest recovery. Our results indicated that the woody plant richness of secondary forests in China was close to fully recovered when compared to the primary forest, with the recovery ratio being 85-103%. Higher recovery ratios were observed in central, northeast and southwest China, with lower recovery ratios seen in east, south and northwest China, and the recovery in central China significantly reached the primary forests (reference) level. Concerning logging histories, the recovery ratios showed two peak values, with one at 21-40 years after clear cutting and the other at 61-80 years. We reveal the fundamental recovery patterns of woody plant species richness in secondary forests in China. These patterns provide information for the sustainable management of secondary forest resources.
DOI: 10.1038/s41598-017-10898-7
PubMed: 28878395
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Environment, Tsinghua University, Beijing, 100084</wicri:regionArea><wicri:noRegion>100084</wicri:noRegion></affiliation></author><author><name sortKey="Liu, Xuehua" sort="Liu, Xuehua" uniqKey="Liu X" first="Xuehua" last="Liu">Xuehua Liu</name><affiliation wicri:level="1"><nlm:affiliation>State Key Joint Laboratory of Environmental Simulation and Pollution Control, and School of Environment, Tsinghua University, Beijing, 100084, China. xuehua-hjx@mail.tsinghua.edu.cn.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>State Key Joint Laboratory of Environmental Simulation and Pollution Control, and School of Environment, Tsinghua University, Beijing, 100084</wicri:regionArea><wicri:noRegion>100084</wicri:noRegion></affiliation></author><author><name sortKey="Skidmore, Andrew" sort="Skidmore, Andrew" uniqKey="Skidmore A" first="Andrew" last="Skidmore">Andrew Skidmore</name><affiliation wicri:level="4"><nlm:affiliation>ITC, University of Twente, 7500, Enschede, AE, The Netherlands.</nlm:affiliation><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>ITC, University of Twente, 7500, Enschede, AE</wicri:regionArea><orgName type="university">Université de Twente</orgName><placeName><settlement type="city">Enschede</settlement><region nuts="2">Overijssel</region></placeName></affiliation></author><author><name sortKey="Garcia, Claude" sort="Garcia, Claude" uniqKey="Garcia C" first="Claude" last="Garcia">Claude Garcia</name><affiliation wicri:level="1"><nlm:affiliation>ForDev Group, Department of Environmental Systems Science, Swiss Federal Institute of Technology (ETH), CH-8092, Zurich, Switzerland.</nlm:affiliation><country xml:lang="fr">Suisse</country><wicri:regionArea>ForDev Group, Department of Environmental Systems Science, Swiss Federal Institute of Technology (ETH), CH-8092, Zurich</wicri:regionArea><wicri:noRegion>Zurich</wicri:noRegion></affiliation></author></analytic><series><title level="j">Scientific reports</title><idno type="eISSN">2045-2322</idno><imprint><date when="2017" type="published">2017</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">There is considerable uncertainty concerning changes in plant diversity of Chinese secondary forests, particularly with respect to diversity recovery following anthropogenic disturbance. Here we present a meta-analysis of the recovery of woody plant species richness in secondary forests in China, with nearby primary forests as a reference. A total of 125 pairs of secondary-primary forest data reported in 55 publications were identified across China. We analyzed the data by region and logging history to examine their influences on secondary forest recovery. Our results indicated that the woody plant richness of secondary forests in China was close to fully recovered when compared to the primary forest, with the recovery ratio being 85-103%. Higher recovery ratios were observed in central, northeast and southwest China, with lower recovery ratios seen in east, south and northwest China, and the recovery in central China significantly reached the primary forests (reference) level. Concerning logging histories, the recovery ratios showed two peak values, with one at 21-40 years after clear cutting and the other at 61-80 years. We reveal the fundamental recovery patterns of woody plant species richness in secondary forests in China. These patterns provide information for the sustainable management of secondary forest resources.</div></front></TEI><pubmed><MedlineCitation Status="In-Data-Review" Owner="NLM"><PMID Version="1">28878395</PMID><DateCreated><Year>2017</Year><Month>09</Month><Day>07</Day></DateCreated><DateRevised><Year>2017</Year><Month>09</Month><Day>14</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">2045-2322</ISSN><JournalIssue CitedMedium="Internet"><Volume>7</Volume><Issue>1</Issue><PubDate><Year>2017</Year><Month>Sep</Month><Day>06</Day></PubDate></JournalIssue><Title>Scientific reports</Title><ISOAbbreviation>Sci Rep</ISOAbbreviation></Journal><ArticleTitle>Recovery of woody plant species richness in secondary forests in China: a meta-analysis.</ArticleTitle><Pagination><MedlinePgn>10614</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1038/s41598-017-10898-7</ELocationID><Abstract><AbstractText>There is considerable uncertainty concerning changes in plant diversity of Chinese secondary forests, particularly with respect to diversity recovery following anthropogenic disturbance. Here we present a meta-analysis of the recovery of woody plant species richness in secondary forests in China, with nearby primary forests as a reference. A total of 125 pairs of secondary-primary forest data reported in 55 publications were identified across China. We analyzed the data by region and logging history to examine their influences on secondary forest recovery. Our results indicated that the woody plant richness of secondary forests in China was close to fully recovered when compared to the primary forest, with the recovery ratio being 85-103%. Higher recovery ratios were observed in central, northeast and southwest China, with lower recovery ratios seen in east, south and northwest China, and the recovery in central China significantly reached the primary forests (reference) level. Concerning logging histories, the recovery ratios showed two peak values, with one at 21-40 years after clear cutting and the other at 61-80 years. We reveal the fundamental recovery patterns of woody plant species richness in secondary forests in China. These patterns provide information for the sustainable management of secondary forest resources.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Liu</LastName><ForeName>Xiaofei</ForeName><Initials>X</Initials><AffiliationInfo><Affiliation>State Key Joint Laboratory of Environmental Simulation and Pollution Control, and School of Environment, Tsinghua University, Beijing, 100084, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Liu</LastName><ForeName>Xuehua</ForeName><Initials>X</Initials><AffiliationInfo><Affiliation>State Key Joint Laboratory of Environmental Simulation and Pollution Control, and School of Environment, Tsinghua University, Beijing, 100084, China. xuehua-hjx@mail.tsinghua.edu.cn.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Skidmore</LastName><ForeName>Andrew</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>ITC, University of Twente, 7500, Enschede, AE, The Netherlands.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Department of Environmental Science, Macquarie University, NSW 2109, Sydney, Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Garcia</LastName><ForeName>Claude</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>ForDev Group, Department of Environmental Systems Science, Swiss Federal Institute of Technology (ETH), CH-8092, Zurich, Switzerland.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Research Unit Forests and Societies, Centre International de Recherche Agronomique pour le Développement (CIRAD), F-34392, Montpellier, France.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2017</Year><Month>09</Month><Day>06</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Sci Rep</MedlineTA><NlmUniqueID>101563288</NlmUniqueID><ISSNLinking>2045-2322</ISSNLinking></MedlineJournalInfo><CommentsCorrectionsList><CommentsCorrections RefType="Cites"><RefSource>Science. 2014 Sep 26;345(6204):1558-60</RefSource><PMID Version="1">25258063</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Glob Chang Biol. 2014 Dec;20(12):3713-26</RefSource><PMID Version="1">24865818</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Proc Biol Sci. 2013 Nov 06;280(1773):20132236</RefSource><PMID Version="1">24197410</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Nat Commun. 2017 Jan 20;8:14163</RefSource><PMID Version="1">28106039</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Glob Chang Biol. 2016 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Version="1">18003934</PMID></CommentsCorrections></CommentsCorrectionsList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2017</Year><Month>03</Month><Day>29</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2017</Year><Month>08</Month><Day>16</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2017</Year><Month>9</Month><Day>8</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2017</Year><Month>9</Month><Day>8</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2017</Year><Month>9</Month><Day>8</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>epublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">28878395</ArticleId><ArticleId IdType="doi">10.1038/s41598-017-10898-7</ArticleId><ArticleId IdType="pii">10.1038/s41598-017-10898-7</ArticleId><ArticleId 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