Accessibility predicts structural variation of Andean Polylepis forests
High Andean mountain forests, formed almost purely by trees of the genus Polylepis , occur nowadays as scattered remnant patches of a more continuous past distribution. Apparently, the destruction of Polylepis forests has mainly been caused by millennia of human disturbance, although forest distribu...
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creator | Toivonen, Johanna M. Kessler, Michael Ruokolainen, Kalle Hertel, Dietrich |
description | High Andean mountain forests, formed almost purely by trees of the genus
Polylepis
, occur nowadays as scattered remnant patches of a more continuous past distribution. Apparently, the destruction of
Polylepis
forests has mainly been caused by millennia of human disturbance, although forest distribution may also have fluctuated according to prevailing climatic conditions. Nowadays, the remaining
Polylepis
forest stands are still threatened by anthropogenic disturbance, which gradually degrades the forests. The aim of our study was to test if the structural variation of
Polylepis
forest patches, as an indication of forest degradation, can be predicted by accessibility to humans. The study was carried out in the Cordilleras Vilcanota and Vilcabamba, Cuzco, Peru. We used indices of forest biomass and proportion of vegetative regeneration as forest structural variables. First we examined the dependence of these variables on elevation with linear regressions. We did this separately for different
Polylepis
species and combining the species within humid and dry areas. Thereafter, we used the residual forest structural variation to assess possible relationships with accessibility, quantified as geographical distance to the nearest village, road or market centre. We found several significant relationships between the structural variables and accessibility, which may reflect different landscape related preferences in forest use. The results suggest accessibility can be used for rapid spatial prediction of
Polylepis
forest degradation, which facilitates identifying
Polylepis
forests that are potentially the most degraded and therefore in the most urgent need of restoration or conservation activities. |
doi_str_mv | 10.1007/s10531-011-0061-9 |
format | Article |
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Polylepis
, occur nowadays as scattered remnant patches of a more continuous past distribution. Apparently, the destruction of
Polylepis
forests has mainly been caused by millennia of human disturbance, although forest distribution may also have fluctuated according to prevailing climatic conditions. Nowadays, the remaining
Polylepis
forest stands are still threatened by anthropogenic disturbance, which gradually degrades the forests. The aim of our study was to test if the structural variation of
Polylepis
forest patches, as an indication of forest degradation, can be predicted by accessibility to humans. The study was carried out in the Cordilleras Vilcanota and Vilcabamba, Cuzco, Peru. We used indices of forest biomass and proportion of vegetative regeneration as forest structural variables. First we examined the dependence of these variables on elevation with linear regressions. We did this separately for different
Polylepis
species and combining the species within humid and dry areas. Thereafter, we used the residual forest structural variation to assess possible relationships with accessibility, quantified as geographical distance to the nearest village, road or market centre. We found several significant relationships between the structural variables and accessibility, which may reflect different landscape related preferences in forest use. The results suggest accessibility can be used for rapid spatial prediction of
Polylepis
forest degradation, which facilitates identifying
Polylepis
forests that are potentially the most degraded and therefore in the most urgent need of restoration or conservation activities.</description><identifier>ISSN: 0960-3115</identifier><identifier>EISSN: 1572-9710</identifier><identifier>DOI: 10.1007/s10531-011-0061-9</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Anthropogenic factors ; Biodiversity ; Biological diversity ; Biomass ; Biomedical and Life Sciences ; Climate Change/Climate Change Impacts ; Climatic conditions ; Conservation ; Conservation Biology/Ecology ; Degradation ; disturbance ; Ecology ; Forest biomass ; Forest degradation ; Forests ; Forests and forestry ; Human influences ; Humid areas ; Land degradation ; Landscape ; Life Sciences ; Mountain forests ; Mountains ; Original Paper ; Reforestation ; regeneration ; spatial distribution ; Trees ; villages</subject><ispartof>Biodiversity and conservation, 2011-07, Vol.20 (8), p.1789-1802</ispartof><rights>Springer Science+Business Media B.V. 2011</rights><rights>COPYRIGHT 2011 Springer</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c386t-baea11b5ad36041a847419ba66b74e555c9944262bfb9e5963895f9c40fab9473</citedby><cites>FETCH-LOGICAL-c386t-baea11b5ad36041a847419ba66b74e555c9944262bfb9e5963895f9c40fab9473</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10531-011-0061-9$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10531-011-0061-9$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>315,781,785,27929,27930,41493,42562,51324</link.rule.ids></links><search><creatorcontrib>Toivonen, Johanna M.</creatorcontrib><creatorcontrib>Kessler, Michael</creatorcontrib><creatorcontrib>Ruokolainen, Kalle</creatorcontrib><creatorcontrib>Hertel, Dietrich</creatorcontrib><title>Accessibility predicts structural variation of Andean Polylepis forests</title><title>Biodiversity and conservation</title><addtitle>Biodivers Conserv</addtitle><description>High Andean mountain forests, formed almost purely by trees of the genus
Polylepis
, occur nowadays as scattered remnant patches of a more continuous past distribution. Apparently, the destruction of
Polylepis
forests has mainly been caused by millennia of human disturbance, although forest distribution may also have fluctuated according to prevailing climatic conditions. Nowadays, the remaining
Polylepis
forest stands are still threatened by anthropogenic disturbance, which gradually degrades the forests. The aim of our study was to test if the structural variation of
Polylepis
forest patches, as an indication of forest degradation, can be predicted by accessibility to humans. The study was carried out in the Cordilleras Vilcanota and Vilcabamba, Cuzco, Peru. We used indices of forest biomass and proportion of vegetative regeneration as forest structural variables. First we examined the dependence of these variables on elevation with linear regressions. We did this separately for different
Polylepis
species and combining the species within humid and dry areas. Thereafter, we used the residual forest structural variation to assess possible relationships with accessibility, quantified as geographical distance to the nearest village, road or market centre. We found several significant relationships between the structural variables and accessibility, which may reflect different landscape related preferences in forest use. The results suggest accessibility can be used for rapid spatial prediction of
Polylepis
forest degradation, which facilitates identifying
Polylepis
forests that are potentially the most degraded and therefore in the most urgent need of restoration or conservation activities.</description><subject>Anthropogenic factors</subject><subject>Biodiversity</subject><subject>Biological diversity</subject><subject>Biomass</subject><subject>Biomedical and Life Sciences</subject><subject>Climate Change/Climate Change Impacts</subject><subject>Climatic conditions</subject><subject>Conservation</subject><subject>Conservation Biology/Ecology</subject><subject>Degradation</subject><subject>disturbance</subject><subject>Ecology</subject><subject>Forest biomass</subject><subject>Forest degradation</subject><subject>Forests</subject><subject>Forests and forestry</subject><subject>Human influences</subject><subject>Humid areas</subject><subject>Land degradation</subject><subject>Landscape</subject><subject>Life Sciences</subject><subject>Mountain forests</subject><subject>Mountains</subject><subject>Original Paper</subject><subject>Reforestation</subject><subject>regeneration</subject><subject>spatial distribution</subject><subject>Trees</subject><subject>villages</subject><issn>0960-3115</issn><issn>1572-9710</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kV9LwzAUxYMoOKcfwLfii0-duc2_5nEMncJAH_Q5pGkyMrpmJq2wb29GBUGQS7gQfifnkIPQLeAFYCweEmBGoMSQD-ZQyjM0AyaqUgrA52iGJcclAWCX6CqlHc4axmGG1ktjbEq-8Z0fjsUh2tabIRVpiKMZxqi74ktHrwcf-iK4Ytm3VvfFW-iOnT34VLgQbRrSNbpwukv25mfP0cfT4_vqudy8rl9Wy01pSM2HstFWAzRMt4RjCrqmgoJsNOeNoJYxZqSktOJV4xppmeSklsxJQ7HTjaSCzNH99O4hhs8xO6u9T8Z2ne5tGJOqa4IrSmiVybs_5C6Msc_hVC3yR5CayQwtJmirO6t878IQtcnT2r03obfO5_ulqIRgpOInf5gEJoaUonXqEP1ex6MCrE5NqKkJlZtQpybUyaSaNCmz_dbG3yT_i74Bz-SKjQ</recordid><startdate>20110701</startdate><enddate>20110701</enddate><creator>Toivonen, Johanna M.</creator><creator>Kessler, Michael</creator><creator>Ruokolainen, Kalle</creator><creator>Hertel, Dietrich</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>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></search><sort><creationdate>20110701</creationdate><title>Accessibility predicts structural variation of Andean Polylepis forests</title><author>Toivonen, Johanna M. ; Kessler, Michael ; Ruokolainen, Kalle ; Hertel, Dietrich</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c386t-baea11b5ad36041a847419ba66b74e555c9944262bfb9e5963895f9c40fab9473</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Anthropogenic factors</topic><topic>Biodiversity</topic><topic>Biological diversity</topic><topic>Biomass</topic><topic>Biomedical and Life Sciences</topic><topic>Climate Change/Climate Change Impacts</topic><topic>Climatic conditions</topic><topic>Conservation</topic><topic>Conservation Biology/Ecology</topic><topic>Degradation</topic><topic>disturbance</topic><topic>Ecology</topic><topic>Forest biomass</topic><topic>Forest degradation</topic><topic>Forests</topic><topic>Forests and forestry</topic><topic>Human influences</topic><topic>Humid areas</topic><topic>Land degradation</topic><topic>Landscape</topic><topic>Life Sciences</topic><topic>Mountain forests</topic><topic>Mountains</topic><topic>Original Paper</topic><topic>Reforestation</topic><topic>regeneration</topic><topic>spatial distribution</topic><topic>Trees</topic><topic>villages</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Toivonen, Johanna M.</creatorcontrib><creatorcontrib>Kessler, Michael</creatorcontrib><creatorcontrib>Ruokolainen, Kalle</creatorcontrib><creatorcontrib>Hertel, Dietrich</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 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 (ProQuest)</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 (ProQuest)</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>Toivonen, Johanna M.</au><au>Kessler, Michael</au><au>Ruokolainen, Kalle</au><au>Hertel, Dietrich</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Accessibility predicts structural variation of Andean Polylepis forests</atitle><jtitle>Biodiversity and conservation</jtitle><stitle>Biodivers Conserv</stitle><date>2011-07-01</date><risdate>2011</risdate><volume>20</volume><issue>8</issue><spage>1789</spage><epage>1802</epage><pages>1789-1802</pages><issn>0960-3115</issn><eissn>1572-9710</eissn><abstract>High Andean mountain forests, formed almost purely by trees of the genus
Polylepis
, occur nowadays as scattered remnant patches of a more continuous past distribution. Apparently, the destruction of
Polylepis
forests has mainly been caused by millennia of human disturbance, although forest distribution may also have fluctuated according to prevailing climatic conditions. Nowadays, the remaining
Polylepis
forest stands are still threatened by anthropogenic disturbance, which gradually degrades the forests. The aim of our study was to test if the structural variation of
Polylepis
forest patches, as an indication of forest degradation, can be predicted by accessibility to humans. The study was carried out in the Cordilleras Vilcanota and Vilcabamba, Cuzco, Peru. We used indices of forest biomass and proportion of vegetative regeneration as forest structural variables. First we examined the dependence of these variables on elevation with linear regressions. We did this separately for different
Polylepis
species and combining the species within humid and dry areas. Thereafter, we used the residual forest structural variation to assess possible relationships with accessibility, quantified as geographical distance to the nearest village, road or market centre. We found several significant relationships between the structural variables and accessibility, which may reflect different landscape related preferences in forest use. The results suggest accessibility can be used for rapid spatial prediction of
Polylepis
forest degradation, which facilitates identifying
Polylepis
forests that are potentially the most degraded and therefore in the most urgent need of restoration or conservation activities.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s10531-011-0061-9</doi><tpages>14</tpages></addata></record> |
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source | SpringerLink Journals - AutoHoldings |
subjects | Anthropogenic factors Biodiversity Biological diversity Biomass Biomedical and Life Sciences Climate Change/Climate Change Impacts Climatic conditions Conservation Conservation Biology/Ecology Degradation disturbance Ecology Forest biomass Forest degradation Forests Forests and forestry Human influences Humid areas Land degradation Landscape Life Sciences Mountain forests Mountains Original Paper Reforestation regeneration spatial distribution Trees villages |
title | Accessibility predicts structural variation of Andean Polylepis forests |
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