Title: SATELLITE DETECTION OF BIRD COMMUNITIES IN TROPICAL COUNTRYSIDE
Abstract: Ecological ApplicationsVolume 17, Issue 5 p. 1499-1510 Article SATELLITE DETECTION OF BIRD COMMUNITIES IN TROPICAL COUNTRYSIDE Jai Ranganathan, Jai Ranganathan Department of Biological Sciences, Stanford University, Stanford, California 94305-5020 USA 3 E-mail: [email protected]Search for more papers by this authorKai M. A. Chan, Kai M. A. Chan Institute for Resources, Environment and Sustainability, University of British Columbia, Vancouver, British Columbia V6T 1Z3 CanadaSearch for more papers by this authorGretchen C. Daily, Gretchen C. Daily Department of Biological Sciences, Stanford University, Stanford, California 94305-5020 USASearch for more papers by this author Jai Ranganathan, Jai Ranganathan Department of Biological Sciences, Stanford University, Stanford, California 94305-5020 USA 3 E-mail: [email protected]Search for more papers by this authorKai M. A. Chan, Kai M. A. Chan Institute for Resources, Environment and Sustainability, University of British Columbia, Vancouver, British Columbia V6T 1Z3 CanadaSearch for more papers by this authorGretchen C. Daily, Gretchen C. Daily Department of Biological Sciences, Stanford University, Stanford, California 94305-5020 USASearch for more papers by this author First published: 01 July 2007 https://doi.org/10.1890/06-0285.1Citations: 17 Corresponding Editor: M. Friedl. Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat Abstract The future of biodiversity hinges partly on realizing the potentially high conservation value of human-dominated countryside. The characteristics of the countryside that promote biodiversity preservation remain poorly understood, however, particularly at the fine scales at which individual farmers tend to make land use decisions. To address this problem, we explored the use of a rapid remote sensing method for estimating bird community composition in tropical countryside, using a two-step process. First, we asked how fine-grained variation in land cover affected community composition. Second, we determined whether the observed changes in community composition correlated with three easily accessible remote sensing metrics (wetness, greenness, and brightness), derived from performing a tasseled-cap transformation on a Landsat Enhanced Thematic Mapper Plus image. As a comparison, we also examined whether the most commonly used remote sensing indicator in ecology, the Normalized Difference Vegetation Index (NDVI), correlated with community composition. We worked within an agricultural landscape in southern Costa Rica, where the land comprised a complex and highly heterogeneous mosaic of remnant native vegetation, pasture, coffee cultivation, and other crops. In this region, we selected 12 study sites (each <60 ha) that encompassed the range of available land cover possibilities in the countryside. Within each site, we surveyed bird communities within all major land cover types, and we conducted detailed field mapping of land cover. We found that the number of forest-affiliated species increased with forest cover and decreased with residential area across sites. Conversely, the number of agriculture-affiliated species using forest increased with land area devoted to agricultural and residential uses. Interestingly, we found that the wetness and brightness metrics predicted the number of forest- and agriculture-affiliated species within a site as well as did detailed field-generated maps of land cover. In contrast, NDVI and the closely correlated greenness metric did not correlate with land cover or with bird communities. Our study shows the strong potential of the tasseled-cap transformation as a tool for assessing the conservation value of countryside for biodiversity. Supporting Information Filename Description https://dx.doi.org/10.6084/m9.figshare.c.3293777 Research data pertaining to this article is located at figshare.com: Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article. Literature Cited Aguilar, A. 2005. Remote sensing of forest regeneration in highland tropical forests. 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Publication Year: 2007
Publication Date: 2007-07-01
Language: en
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