Contrasting performance of Lidar and optical texture models in predicting avian diversity in a tropical mountain forest
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- 作者：Christine I.B. Wallisa ; b ; christine.wallis@staff.uni-marburg.de" class="auth_mail" title="E-mail the corresponding author ; Detlev Paulschc ; Jö ; rg Zeilingerb ; Brenner Silvab ; Giulia F. Curatola Ferná ; ndezb ; Roland Brandld ; Nina Farwiga ; Jö ; rg Bendixb
- 关键词：Α-diversity ; β-diversity ; Biodiversity ; Birds ; Ecuadorian Andes ; Gray level co-occurrence matrix ; Partial least-square regression ; Phylodiversity ; Quickbird ; Shannon diversity ; Community composition
- 刊名：Remote Sensing of Environment
- 出版年：2016
- 出版时间：1 March 2016
- 年：2016
- 卷：174
- 期：Complete
- 页码：223-232
- 全文大小：1540 K
文摘
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We used heterogeneity metrics to model aspects of bird diversity.
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We compared the performance of Lidar and optical texture metrics.
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Optical textures successfully predicted Shannon diversity and community composition.
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Image textures could replace costly Lidar in modeling certain aspects of diversity.