Author
Listed:
- Vasileios J. Kontsiotis
(Department of Forest and Natural Environment Sciences, Democritus University of Thrace, 66100 Drama, Greece)
- Stavros Chatzigiovanakis
(Department of Forest and Natural Environment Sciences, Democritus University of Thrace, 66100 Drama, Greece)
- Evangelos Valsamidis
(Department of Forest and Natural Environment Sciences, Democritus University of Thrace, 66100 Drama, Greece)
- Eleftherios Nalmpantis
(Department of Forest and Natural Environment Sciences, Democritus University of Thrace, 66100 Drama, Greece)
- Panteleimon Xofis
(Department of Forest and Natural Environment Sciences, Democritus University of Thrace, 66100 Drama, Greece)
- Vasilios Liordos
(Department of Forest and Natural Environment Sciences, Democritus University of Thrace, 66100 Drama, Greece)
Abstract
Abundant and diverse urban bird communities promote ecosystem and human health in cities. However, the estimation of bird community structure requires large amounts of resources. On the other hand, calculating remotely sensed spectral indices is cheap and easy. Such indices are directly related to vegetation cover, built-up cover, and temperature, factors that also affect the presence and abundance of bird species in urban areas. Therefore, spectral indices can be used as proxies of the structure of urban bird communities. We estimated the abundance, taxonomic, functional, and phylogenetic diversity of the bird community at each of 18 50 m radius survey stations in the urban core area of Kavala, Greece. We also calculated eight spectral indices (means and standard deviations, SDs) around survey stations at 50 m, 200 m, and 500 m spatial scales. The land surface temperature SD (LST) was the most important proxy, positively related to bird abundance at the 50 m and 200 m spatial scales. At the same time, the mean green normalized difference vegetation index (GNDVI) was the most important proxy, negatively related to abundance at the 500 m spatial scale. Means and SDs of vegetation indices, such as the normalized difference vegetation index (NDVI), enhanced vegetation index (EVI2), soil-adjusted vegetation index (SAVI), and atmospherically resistant vegetation index (ARVI), were the most important proxies, positively related to taxonomic and functional diversity at all the spatial scales. The mean and SDs of LST, normalized difference moisture index (NDMI), and normalized difference built-up index (NDBI) variously affected taxonomic and functional diversity. The mean and SDs of LST were the best proxies of phylogenetic diversity at the 50 m and 500 m spatial scales, while the SDs of NDBI and NDMI were the best proxies at the 200 m spatial scale. The results suggest that several spectral indices can be used as reliable proxies of various facets of urban bird diversity. Using such proxies is an easy and efficient way of informing successful urban planning and management.
Suggested Citation
Vasileios J. Kontsiotis & Stavros Chatzigiovanakis & Evangelos Valsamidis & Eleftherios Nalmpantis & Panteleimon Xofis & Vasilios Liordos, 2025.
"Remotely Sensed Spectral Indices as Proxies of the Structure of Urban Bird Communities,"
Land, MDPI, vol. 14(2), pages 1-19, February.
Handle:
RePEc:gam:jlands:v:14:y:2025:i:2:p:308-:d:1582403
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