Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/33423
metadata.artigo.dc.title: Assessing Atlantic cloud forest extent and protection status in southeastern Brazil
metadata.artigo.dc.creator: Pompeu, Patrícia Vieira
Fontes, Marco Aurélio Leite
Mulligan, Mark
Bueno, Inácio Thomaz
Siqueira, Marinez Ferreira de
Acerbi Júnior, Fausto Weimar
Kamino, Luciana Hiromi Yoshino
Waterloo, Maarten J.
Bruijnzeel, L. A.
metadata.artigo.dc.subject: Brazilian cloud forest
Cloud forest biogeography
Species distribution modelling
Tropical montane forest
Floresta nublada brasileira
Biogeografia de floresta nublada
Modelagem de distribuição de espécies
Floresta tropical montana
metadata.artigo.dc.publisher: Elsevier
metadata.artigo.dc.date.issued: Jun-2018
metadata.artigo.dc.identifier.citation: POMPEU, P. V. et al. Assessing Atlantic cloud forest extent and protection status in southeastern Brazil. Journal for Nature Conservation, [S. l.], v. 43, p. 146-155, June 2018.
metadata.artigo.dc.description.abstract: This study aims to map the spatial distribution of Atlantic cloud forest and assess its protection status in the Serra da Mantiqueira, southeastern Brazil, using a combination of predictive distribution modelling and remote sensing techniques. The potential distribution of cloud forests in the Serra da Mantiqueira was predicted using a combination of three algorithms for different environmental variables, including climatic, hydrometeorological, a topographic variable and a fog-related variable. After estimating the potential cloud forest distribution, remote sensing mapping techniques were used to approximate actual cloud forest area. Four land-use classes were distinguished: cloud forest, plantation forest, a ‘high-altitude complex’, and ‘other covers’. Actual mapped cloud forest areas were compared with locations of existing protected areas to assess the status of regional cloud forest protection. Predicted cloud forest distribution was excellent, with conditions above 1500 m.a.s.l. generally the most suitable for cloud forest occurrence. Actual cloud forest occurrence mapped with remote sensing imagery was 52% of the predicted potential area with differences likely due to past forest loss and the presence of non-forest (‘high-altitude complex’) vegetation. Much of the mapped cloud forest area is under nominal protection, with most areas falling into the ‘Protected Area with Sustainable Use of Natural Resources’ category. The combined use of predictive distribution modelling and remotely sensed observations successfully mapped cloud forest extent in the study area. The results reinforce the need to assign high conservation priority to the Serra da Mantiqueira as a whole and to create a core area with full protection status.
metadata.artigo.dc.identifier.uri: https://www.sciencedirect.com/science/article/pii/S1617138117304119#!
http://repositorio.ufla.br/jspui/handle/1/33423
metadata.artigo.dc.language: en_US
Appears in Collections:DCF - Artigos publicados em periódicos

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