Recovery of woody plant species richness in secondary forests in China: a meta-analysis
Identifieur interne : 000C99 ( Pmc/Curation ); précédent : 000C98; suivant : 000D00Recovery 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 [Australie] ; Claude Garcia [Suisse, France]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.
Url:
DOI: 10.1038/s41598-017-10898-7
PubMed: 28878395
PubMed Central: 5587664
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Andrew Skidmore<affiliation><nlm:aff id="Aff2"><institution-wrap><institution-id institution-id-type="ISNI">0000 0004 0399 8953</institution-id><institution-id institution-id-type="GRID">grid.6214.1</institution-id><institution>ITC,</institution><institution>University of Twente,</institution></institution-wrap>7500 Enschede, AE The Netherlands</nlm:aff><wicri:noCountry code="subfield">AE The Netherlands</wicri:noCountry></affiliation><affiliation wicri:level="1"><nlm:aff id="Aff3"><institution-wrap><institution-id institution-id-type="ISNI">0000 0001 2158 5405</institution-id><institution-id institution-id-type="GRID">grid.1004.5</institution-id><institution>Department of Environmental Science,</institution><institution>Macquarie University,</institution></institution-wrap>NSW 2109 Sydney, Australia</nlm:aff><country xml:lang="fr">Australie</country><wicri:regionArea>NSW 2109 Sydney</wicri:regionArea></affiliation>Le document en format XML
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Développement (CIRAD), F-34392 Montpellier, France</nlm:aff><country xml:lang="fr">France</country><wicri:regionArea>Research Unit Forests and Societies, Centre International de Recherche Agronomique pour le Développement (CIRAD), F-34392 Montpellier</wicri:regionArea></affiliation></author></analytic><series><title level="j">Scientific Reports</title><idno type="eISSN">2045-2322</idno><imprint><date when="2017">2017</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p id="Par1">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.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Malhi, Y" uniqKey="Malhi Y">Y Malhi</name></author><author><name sortKey="Gardner, Ta" uniqKey="Gardner T">TA Gardner</name></author><author><name sortKey="Goldsmith, Gr" uniqKey="Goldsmith G">GR Goldsmith</name></author><author><name sortKey="Silman, Mr" uniqKey="Silman M">MR Silman</name></author><author><name sortKey="Zelazowski, P" uniqKey="Zelazowski P">P Zelazowski</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Mace, Gm" uniqKey="Mace G">GM Mace</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Moreno Mateos, D" uniqKey="Moreno Mateos D">D Moreno-Mateos</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Spake, R" uniqKey="Spake R">R Spake</name></author><author><name 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<front><journal-meta><journal-id journal-id-type="nlm-ta">Sci Rep</journal-id><journal-id journal-id-type="iso-abbrev">Sci Rep</journal-id><journal-title-group><journal-title>Scientific Reports</journal-title></journal-title-group><issn pub-type="epub">2045-2322</issn><publisher><publisher-name>Nature Publishing Group UK</publisher-name><publisher-loc>London</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">28878395</article-id><article-id pub-id-type="pmc">5587664</article-id><article-id pub-id-type="publisher-id">10898</article-id><article-id pub-id-type="doi">10.1038/s41598-017-10898-7</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Recovery of woody plant species richness in secondary forests in China: a meta-analysis</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Liu</surname><given-names>Xiaofei</given-names></name><xref ref-type="aff" rid="Aff1">1</xref></contrib><contrib contrib-type="author" corresp="yes"><name><surname>Liu</surname><given-names>Xuehua</given-names></name><address><email>xuehua-hjx@mail.tsinghua.edu.cn</email></address><xref ref-type="aff" rid="Aff1">1</xref></contrib><contrib contrib-type="author"><name><surname>Skidmore</surname><given-names>Andrew</given-names></name><xref ref-type="aff" rid="Aff2">2</xref><xref ref-type="aff" rid="Aff3">3</xref></contrib><contrib contrib-type="author"><name><surname>Garcia</surname><given-names>Claude</given-names></name><xref ref-type="aff" rid="Aff4">4</xref><xref ref-type="aff" rid="Aff5">5</xref></contrib><aff id="Aff1"><label>1</label><institution-wrap><institution-id institution-id-type="ISNI">0000 0001 0662 3178</institution-id><institution-id institution-id-type="GRID">grid.12527.33</institution-id><institution>State Key Joint Laboratory of Environmental Simulation and Pollution Control, and School of Environment,</institution><institution>Tsinghua University,</institution></institution-wrap>Beijing, 100084 China</aff><aff id="Aff2"><label>2</label><institution-wrap><institution-id institution-id-type="ISNI">0000 0004 0399 8953</institution-id><institution-id institution-id-type="GRID">grid.6214.1</institution-id><institution>ITC,</institution><institution>University of Twente,</institution></institution-wrap>7500 Enschede, AE The Netherlands</aff><aff id="Aff3"><label>3</label><institution-wrap><institution-id institution-id-type="ISNI">0000 0001 2158 5405</institution-id><institution-id institution-id-type="GRID">grid.1004.5</institution-id><institution>Department of Environmental Science,</institution><institution>Macquarie University,</institution></institution-wrap>NSW 2109 Sydney, Australia</aff><aff id="Aff4"><label>4</label><institution-wrap><institution-id institution-id-type="ISNI">0000 0001 2156 2780</institution-id><institution-id institution-id-type="GRID">grid.5801.c</institution-id><institution>ForDev Group,</institution><institution>Department of Environmental Systems Science, Swiss Federal Institute of Technology (ETH),</institution></institution-wrap>CH-8092 Zurich, Switzerland</aff><aff id="Aff5"><label>5</label>Research Unit Forests and Societies, Centre International de Recherche Agronomique pour le Développement (CIRAD), F-34392 Montpellier, France</aff></contrib-group><pub-date pub-type="epub"><day>6</day><month>9</month><year>2017</year></pub-date><pub-date pub-type="pmc-release"><day>6</day><month>9</month><year>2017</year></pub-date><pub-date pub-type="collection"><year>2017</year></pub-date><volume>7</volume><elocation-id>10614</elocation-id><history><date date-type="received"><day>29</day><month>3</month><year>2017</year></date><date date-type="accepted"><day>16</day><month>8</month><year>2017</year></date></history><permissions><copyright-statement>© The Author(s) 2017</copyright-statement><license license-type="OpenAccess"><license-p><bold>Open Access</bold> This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">http://creativecommons.org/licenses/by/4.0/</ext-link>.</license-p></license></permissions><abstract id="Abs1"><p id="Par1">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.</p></abstract><custom-meta-group><custom-meta><meta-name>issue-copyright-statement</meta-name><meta-value>© The Author(s) 2017</meta-value></custom-meta></custom-meta-group></article-meta></front></pmc></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Asie/explor/AustralieFrV1/Data/Pmc/Curation
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Ou
HfdSelect -h $EXPLOR_AREA/Data/Pmc/Curation/biblio.hfd -nk 000C99 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Wicri/Asie
|area= AustralieFrV1
|flux= Pmc
|étape= Curation
|type= RBID
|clé= PMC:5587664
|texte= Recovery of woody plant species richness in secondary forests in China: a meta-analysis
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Pmc/Curation/RBID.i -Sk "pubmed:28878395" \
| HfdSelect -Kh $EXPLOR_AREA/Data/Pmc/Curation/biblio.hfd \
| NlmPubMed2Wicri -a AustralieFrV1
| This area was generated with Dilib version V0.6.33. |  |