Nearby mature forest distance and regenerating forest age influence tree species composition in the Atlantic forest of Southern Bahia, Brazil
The recovery of tree species composition after disturbance depends on dispersal either from nearby forests or from surviving individuals within the disturbed area. Understanding the influence of proximity to mature forests on species composition of regenerating secondary forests can help in predicti...
Gespeichert in:
Veröffentlicht in: | Biodiversity and conservation 2021-06, Vol.30 (7), p.2165-2180 |
---|---|
Hauptverfasser: | , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 2180 |
---|---|
container_issue | 7 |
container_start_page | 2165 |
container_title | Biodiversity and conservation |
container_volume | 30 |
creator | Piotto, Daniel Magnago, Luiz Fernando Silva Montagnini, Florencia Ashton, Mark S. Oliver, Chadwick Thomas, William Wayt |
description | The recovery of tree species composition after disturbance depends on dispersal either from nearby forests or from surviving individuals within the disturbed area. Understanding the influence of proximity to mature forests on species composition of regenerating secondary forests can help in predicting the trajectory of recovery from anthropogenic disturbances. Using forest inventory data from a chronosequence of regenerating secondary forests in the Atlantic Forest of southern Bahia, whereby transects were arranged from the edge of mature forest 100 m into the regenerating area, we calculated community weighted means (CWMs) for traits and the natural distribution ranges of species. We used Generalized Linear Mixed Models to investigate whether site characteristics such as forest age, distance from mature forest edge, soil chemical and physical properties, and canopy openness influence traits and natural distribution of regenerating secondary forest tree species. Results show that species traits were associated with regenerating forest age while the proportion of endemic and widespread species was associated with distance from mature forest and regenerating forest age. Irrespective of distance from mature forest, regenerating secondary forests recruit species with heavy and recalcitrant seeds, but this increased with regenerating forest age. Our results contribute to understanding the effects of forest fragmentation and in restoring forests after deforestation. |
doi_str_mv | 10.1007/s10531-021-02192-w |
format | Article |
fullrecord | <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_journals_2527700209</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A727332174</galeid><sourcerecordid>A727332174</sourcerecordid><originalsourceid>FETCH-LOGICAL-c358t-c2abde79cbf513fa2187181c23595554928af29c4dd59a037d0a1d13824f08c13</originalsourceid><addsrcrecordid>eNp9kd9uFSEQhzdGE4_VF_CKxFu3ZeBQlsvTxj9NGr1Qr8kcdtjS7IEjsGnqO_jO0q6Nd4YQkuH7YCa_rnsL_BQ412cFuJLQc_G4jejvnnUbUFr0RgN_3m24Oee9BFAvu1el3PImqXPYdL-_EOb9PTtgXTIxnzKVysZQKkZHDOPIMk0UKWMNcXoCcCIWop8XeqBqJmLlSC5QYS4djqmEGlJsCKs3xHZ1xliDe7KTZ9_S0m5yZBd4E_A9u8j4K8yvuxce50Jv_p4n3Y-PH75ffu6vv366utxd906qofZO4H4kbdzeK5AeBQwaBnBCKqOU2hoxoBfGbcdRGeRSjxxhBDmIreeDA3nSvVvfPeb0c2kt2du05Ni-tEIJrTkX3DTqdKUmnMm2cVPN6Noa6RBciuRDq--00FIK0NsmiFVwOZWSydtjDgfM9xa4fcjJrjnZlpF9zMneNUmuUmlwnCj_6-U_1h-J-Ze2</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2527700209</pqid></control><display><type>article</type><title>Nearby mature forest distance and regenerating forest age influence tree species composition in the Atlantic forest of Southern Bahia, Brazil</title><source>Springer Online Journals Complete</source><creator>Piotto, Daniel ; Magnago, Luiz Fernando Silva ; Montagnini, Florencia ; Ashton, Mark S. ; Oliver, Chadwick ; Thomas, William Wayt</creator><creatorcontrib>Piotto, Daniel ; Magnago, Luiz Fernando Silva ; Montagnini, Florencia ; Ashton, Mark S. ; Oliver, Chadwick ; Thomas, William Wayt</creatorcontrib><description>The recovery of tree species composition after disturbance depends on dispersal either from nearby forests or from surviving individuals within the disturbed area. Understanding the influence of proximity to mature forests on species composition of regenerating secondary forests can help in predicting the trajectory of recovery from anthropogenic disturbances. Using forest inventory data from a chronosequence of regenerating secondary forests in the Atlantic Forest of southern Bahia, whereby transects were arranged from the edge of mature forest 100 m into the regenerating area, we calculated community weighted means (CWMs) for traits and the natural distribution ranges of species. We used Generalized Linear Mixed Models to investigate whether site characteristics such as forest age, distance from mature forest edge, soil chemical and physical properties, and canopy openness influence traits and natural distribution of regenerating secondary forest tree species. Results show that species traits were associated with regenerating forest age while the proportion of endemic and widespread species was associated with distance from mature forest and regenerating forest age. Irrespective of distance from mature forest, regenerating secondary forests recruit species with heavy and recalcitrant seeds, but this increased with regenerating forest age. Our results contribute to understanding the effects of forest fragmentation and in restoring forests after deforestation.</description><identifier>ISSN: 0960-3115</identifier><identifier>EISSN: 1572-9710</identifier><identifier>DOI: 10.1007/s10531-021-02192-w</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Age ; Animal behavior ; Anthropogenic factors ; Biodiversity ; Biomedical and Life Sciences ; Climate Change/Climate Change Impacts ; Community composition ; Composition ; Conservation Biology/Ecology ; Deforestation ; Dispersal ; Distance ; Distribution ; Ecology ; Ecosystem disturbance ; Endemic species ; Forest and plantation biodiversity ; Forests ; Geographical distribution ; Habitat fragmentation ; Human influences ; Life Sciences ; Original Paper ; Physical properties ; Plant cover ; Plant species ; Recovery ; Recruitment (fisheries) ; Soil chemistry ; Soil physical properties ; Soil properties ; Species ; Species composition ; Statistical models ; Survival</subject><ispartof>Biodiversity and conservation, 2021-06, Vol.30 (7), p.2165-2180</ispartof><rights>The Author(s), under exclusive licence to Springer Nature B.V. 2021</rights><rights>COPYRIGHT 2021 Springer</rights><rights>The Author(s), under exclusive licence to Springer Nature B.V. 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c358t-c2abde79cbf513fa2187181c23595554928af29c4dd59a037d0a1d13824f08c13</citedby><cites>FETCH-LOGICAL-c358t-c2abde79cbf513fa2187181c23595554928af29c4dd59a037d0a1d13824f08c13</cites><orcidid>0000-0002-6505-0098</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10531-021-02192-w$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10531-021-02192-w$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Piotto, Daniel</creatorcontrib><creatorcontrib>Magnago, Luiz Fernando Silva</creatorcontrib><creatorcontrib>Montagnini, Florencia</creatorcontrib><creatorcontrib>Ashton, Mark S.</creatorcontrib><creatorcontrib>Oliver, Chadwick</creatorcontrib><creatorcontrib>Thomas, William Wayt</creatorcontrib><title>Nearby mature forest distance and regenerating forest age influence tree species composition in the Atlantic forest of Southern Bahia, Brazil</title><title>Biodiversity and conservation</title><addtitle>Biodivers Conserv</addtitle><description>The recovery of tree species composition after disturbance depends on dispersal either from nearby forests or from surviving individuals within the disturbed area. Understanding the influence of proximity to mature forests on species composition of regenerating secondary forests can help in predicting the trajectory of recovery from anthropogenic disturbances. Using forest inventory data from a chronosequence of regenerating secondary forests in the Atlantic Forest of southern Bahia, whereby transects were arranged from the edge of mature forest 100 m into the regenerating area, we calculated community weighted means (CWMs) for traits and the natural distribution ranges of species. We used Generalized Linear Mixed Models to investigate whether site characteristics such as forest age, distance from mature forest edge, soil chemical and physical properties, and canopy openness influence traits and natural distribution of regenerating secondary forest tree species. Results show that species traits were associated with regenerating forest age while the proportion of endemic and widespread species was associated with distance from mature forest and regenerating forest age. Irrespective of distance from mature forest, regenerating secondary forests recruit species with heavy and recalcitrant seeds, but this increased with regenerating forest age. Our results contribute to understanding the effects of forest fragmentation and in restoring forests after deforestation.</description><subject>Age</subject><subject>Animal behavior</subject><subject>Anthropogenic factors</subject><subject>Biodiversity</subject><subject>Biomedical and Life Sciences</subject><subject>Climate Change/Climate Change Impacts</subject><subject>Community composition</subject><subject>Composition</subject><subject>Conservation Biology/Ecology</subject><subject>Deforestation</subject><subject>Dispersal</subject><subject>Distance</subject><subject>Distribution</subject><subject>Ecology</subject><subject>Ecosystem disturbance</subject><subject>Endemic species</subject><subject>Forest and plantation biodiversity</subject><subject>Forests</subject><subject>Geographical distribution</subject><subject>Habitat fragmentation</subject><subject>Human influences</subject><subject>Life Sciences</subject><subject>Original Paper</subject><subject>Physical properties</subject><subject>Plant cover</subject><subject>Plant species</subject><subject>Recovery</subject><subject>Recruitment (fisheries)</subject><subject>Soil chemistry</subject><subject>Soil physical properties</subject><subject>Soil properties</subject><subject>Species</subject><subject>Species composition</subject><subject>Statistical models</subject><subject>Survival</subject><issn>0960-3115</issn><issn>1572-9710</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9kd9uFSEQhzdGE4_VF_CKxFu3ZeBQlsvTxj9NGr1Qr8kcdtjS7IEjsGnqO_jO0q6Nd4YQkuH7YCa_rnsL_BQ412cFuJLQc_G4jejvnnUbUFr0RgN_3m24Oee9BFAvu1el3PImqXPYdL-_EOb9PTtgXTIxnzKVysZQKkZHDOPIMk0UKWMNcXoCcCIWop8XeqBqJmLlSC5QYS4djqmEGlJsCKs3xHZ1xliDe7KTZ9_S0m5yZBd4E_A9u8j4K8yvuxce50Jv_p4n3Y-PH75ffu6vv366utxd906qofZO4H4kbdzeK5AeBQwaBnBCKqOU2hoxoBfGbcdRGeRSjxxhBDmIreeDA3nSvVvfPeb0c2kt2du05Ni-tEIJrTkX3DTqdKUmnMm2cVPN6Noa6RBciuRDq--00FIK0NsmiFVwOZWSydtjDgfM9xa4fcjJrjnZlpF9zMneNUmuUmlwnCj_6-U_1h-J-Ze2</recordid><startdate>20210601</startdate><enddate>20210601</enddate><creator>Piotto, Daniel</creator><creator>Magnago, Luiz Fernando Silva</creator><creator>Montagnini, Florencia</creator><creator>Ashton, Mark S.</creator><creator>Oliver, Chadwick</creator><creator>Thomas, William Wayt</creator><general>Springer Netherlands</general><general>Springer</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SN</scope><scope>7SS</scope><scope>7ST</scope><scope>7U6</scope><scope>7X2</scope><scope>7XB</scope><scope>88I</scope><scope>8AO</scope><scope>8FD</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>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>H97</scope><scope>HCIFZ</scope><scope>L.G</scope><scope>LK8</scope><scope>M0K</scope><scope>M2P</scope><scope>M7P</scope><scope>P64</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>RC3</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0002-6505-0098</orcidid></search><sort><creationdate>20210601</creationdate><title>Nearby mature forest distance and regenerating forest age influence tree species composition in the Atlantic forest of Southern Bahia, Brazil</title><author>Piotto, Daniel ; Magnago, Luiz Fernando Silva ; Montagnini, Florencia ; Ashton, Mark S. ; Oliver, Chadwick ; Thomas, William Wayt</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c358t-c2abde79cbf513fa2187181c23595554928af29c4dd59a037d0a1d13824f08c13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Age</topic><topic>Animal behavior</topic><topic>Anthropogenic factors</topic><topic>Biodiversity</topic><topic>Biomedical and Life Sciences</topic><topic>Climate Change/Climate Change Impacts</topic><topic>Community composition</topic><topic>Composition</topic><topic>Conservation Biology/Ecology</topic><topic>Deforestation</topic><topic>Dispersal</topic><topic>Distance</topic><topic>Distribution</topic><topic>Ecology</topic><topic>Ecosystem disturbance</topic><topic>Endemic species</topic><topic>Forest and plantation biodiversity</topic><topic>Forests</topic><topic>Geographical distribution</topic><topic>Habitat fragmentation</topic><topic>Human influences</topic><topic>Life Sciences</topic><topic>Original Paper</topic><topic>Physical properties</topic><topic>Plant cover</topic><topic>Plant species</topic><topic>Recovery</topic><topic>Recruitment (fisheries)</topic><topic>Soil chemistry</topic><topic>Soil physical properties</topic><topic>Soil properties</topic><topic>Species</topic><topic>Species composition</topic><topic>Statistical models</topic><topic>Survival</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Piotto, Daniel</creatorcontrib><creatorcontrib>Magnago, Luiz Fernando Silva</creatorcontrib><creatorcontrib>Montagnini, Florencia</creatorcontrib><creatorcontrib>Ashton, Mark S.</creatorcontrib><creatorcontrib>Oliver, Chadwick</creatorcontrib><creatorcontrib>Thomas, William Wayt</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Environment Abstracts</collection><collection>Sustainability Science Abstracts</collection><collection>Agricultural Science Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</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>Biological Science Collection</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>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>SciTech Premium Collection</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science 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>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Genetics Abstracts</collection><collection>Environment Abstracts</collection><jtitle>Biodiversity and conservation</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Piotto, Daniel</au><au>Magnago, Luiz Fernando Silva</au><au>Montagnini, Florencia</au><au>Ashton, Mark S.</au><au>Oliver, Chadwick</au><au>Thomas, William Wayt</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Nearby mature forest distance and regenerating forest age influence tree species composition in the Atlantic forest of Southern Bahia, Brazil</atitle><jtitle>Biodiversity and conservation</jtitle><stitle>Biodivers Conserv</stitle><date>2021-06-01</date><risdate>2021</risdate><volume>30</volume><issue>7</issue><spage>2165</spage><epage>2180</epage><pages>2165-2180</pages><issn>0960-3115</issn><eissn>1572-9710</eissn><abstract>The recovery of tree species composition after disturbance depends on dispersal either from nearby forests or from surviving individuals within the disturbed area. Understanding the influence of proximity to mature forests on species composition of regenerating secondary forests can help in predicting the trajectory of recovery from anthropogenic disturbances. Using forest inventory data from a chronosequence of regenerating secondary forests in the Atlantic Forest of southern Bahia, whereby transects were arranged from the edge of mature forest 100 m into the regenerating area, we calculated community weighted means (CWMs) for traits and the natural distribution ranges of species. We used Generalized Linear Mixed Models to investigate whether site characteristics such as forest age, distance from mature forest edge, soil chemical and physical properties, and canopy openness influence traits and natural distribution of regenerating secondary forest tree species. Results show that species traits were associated with regenerating forest age while the proportion of endemic and widespread species was associated with distance from mature forest and regenerating forest age. Irrespective of distance from mature forest, regenerating secondary forests recruit species with heavy and recalcitrant seeds, but this increased with regenerating forest age. Our results contribute to understanding the effects of forest fragmentation and in restoring forests after deforestation.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s10531-021-02192-w</doi><tpages>16</tpages><orcidid>https://orcid.org/0000-0002-6505-0098</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0960-3115 |
ispartof | Biodiversity and conservation, 2021-06, Vol.30 (7), p.2165-2180 |
issn | 0960-3115 1572-9710 |
language | eng |
recordid | cdi_proquest_journals_2527700209 |
source | Springer Online Journals Complete |
subjects | Age Animal behavior Anthropogenic factors Biodiversity Biomedical and Life Sciences Climate Change/Climate Change Impacts Community composition Composition Conservation Biology/Ecology Deforestation Dispersal Distance Distribution Ecology Ecosystem disturbance Endemic species Forest and plantation biodiversity Forests Geographical distribution Habitat fragmentation Human influences Life Sciences Original Paper Physical properties Plant cover Plant species Recovery Recruitment (fisheries) Soil chemistry Soil physical properties Soil properties Species Species composition Statistical models Survival |
title | Nearby mature forest distance and regenerating forest age influence tree species composition in the Atlantic forest of Southern Bahia, Brazil |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-06T17%3A10%3A07IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Nearby%20mature%20forest%20distance%20and%20regenerating%20forest%20age%20influence%20tree%20species%20composition%20in%20the%20Atlantic%20forest%20of%20Southern%20Bahia,%20Brazil&rft.jtitle=Biodiversity%20and%20conservation&rft.au=Piotto,%20Daniel&rft.date=2021-06-01&rft.volume=30&rft.issue=7&rft.spage=2165&rft.epage=2180&rft.pages=2165-2180&rft.issn=0960-3115&rft.eissn=1572-9710&rft_id=info:doi/10.1007/s10531-021-02192-w&rft_dat=%3Cgale_proqu%3EA727332174%3C/gale_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2527700209&rft_id=info:pmid/&rft_galeid=A727332174&rfr_iscdi=true |