Accessibility predicts structural variation of Andean Polylepis forests

dc.contributor.authorToivonen JM
dc.contributor.authorKessler M
dc.contributor.authorRuokolainen K
dc.contributor.authorHertel D
dc.contributor.organizationfi=biologian laitos|en=Department of Biology|
dc.contributor.organizationfi=ekologia ja evoluutiobiologia|en=Ecology and Evolutionary Biology |
dc.contributor.organization-code1.2.246.10.2458963.20.20415010352
dc.contributor.organization-code1.2.246.10.2458963.20.77193996913
dc.converis.publication-id2472086
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/2472086
dc.date.accessioned2025-08-28T01:30:20Z
dc.date.available2025-08-28T01:30:20Z
dc.description.abstractHigh 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.
dc.format.pagerange1789
dc.format.pagerange1802
dc.identifier.jour-issn0960-3115
dc.identifier.olddbid207637
dc.identifier.oldhandle10024/190664
dc.identifier.urihttps://www.utupub.fi/handle/11111/48061
dc.identifier.urnURN:NBN:fi-fe2021042714654
dc.language.isoen
dc.okm.affiliatedauthorRuokolainen, Kalle
dc.okm.affiliatedauthorToivonen de Gonzales, Johanna
dc.okm.discipline1181 Ecology, evolutionary biologyen_GB
dc.okm.discipline4112 Forestryen_GB
dc.okm.discipline1181 Ekologia, evoluutiobiologiafi_FI
dc.okm.discipline4112 Metsätiedefi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisherSPRINGER
dc.publisher.countryNetherlandsen_GB
dc.publisher.countryAlankomaatfi_FI
dc.publisher.country-codeNL
dc.relation.doi10.1007/s10531-011-0061-9
dc.relation.ispartofjournalBiodiversity and Conservation
dc.relation.issue8
dc.relation.volume20
dc.source.identifierhttps://www.utupub.fi/handle/10024/190664
dc.titleAccessibility predicts structural variation of Andean Polylepis forests
dc.year.issued2011

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