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090 _aB-21550
245 1 0 _aUsing high-resolution remote sensing data for habitat suitability models of Bromeliaceae in the city of Mérida, Venezuela
490 0 _aLandscape and Urban Planning, g 120 (2013) 107-118
500 _aArtículo
520 3 _aLittle information is available concerning the effects of the increasing urbanization on biodiversity in tropical regions. Species distribution modelling based on interpolated climate data is a widely applied, time- and cost-effective tool to estimate the potential species richness in a target area. However, high fragmentation, strong environmental gradients on a small-scale, and lack of fine-scale environmental data in tropical urban areas require alternative approaches. In this study we combined a rapid species assessment approach with environmental niche modelling based on high-resolution ASTER satellite imagery to predict species distributions of Bromeliaceae in the city of Mérida, Venezuela. Twenty species of Bromeliaceae, e.g. 36% of the total bromeliad diversity of the state of Mérida, were observed in the city, including seven species with CAM physiology. CAM species showed significantly higher occurrence probabilities in zones with higher soil sealing, whereas in C3 species a trend across soilsealing zones was not observed. The remarkable urban species richness of Bromeliaceae is here attributed to the species' different adaptive strategies, as well as to the strong elevation gradient of Mérida city. Our species modelling approach provides new possibilities for the identification of indicator species in different urban built-up areas.
650 1 4 _aANDES
650 1 4 _aBROMELIACEAE
650 1 4 _aHABITAT SUITABILITY MODELLING
650 1 4 _aSATELLITE IMAGERY
650 1 4 _aTILLANDSIA
650 1 4 _aURBAN BIODIVERSITY
700 1 2 _aJudith, C.
700 1 2 _aSchneider, J. V.
700 1 2 _aSchmidt, M.
700 1 2 _aOrtega, R.
700 1 2 _aGaviria, J.
700 1 2 _aZizka, G. 
856 4 0 _uhttps://drive.google.com/file/d/1PdoG_7cYvUfMXYmzryVDBFgKYmAbmGXt/view?usp=drive_link
_zPara ver el documento ingresa a Google con tu cuenta: @cicy.edu.mx
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