Potential of Airborne LiDAR Derived Vegetation Structure for the Prediction of Animal Species Richness at Mount Kilimanjaro

Potential of Airborne LiDAR Derived Vegetation Structure for the Prediction of Animal Species Richness at Mount Kilimanjaro

The monitoring of species and functional diversity is of increasing relevance for the development of strategies for the conservation and management of biodiversity. Therefore, reliable estimates of the performance of monitoring techniques across taxa become important. Using a unique dataset, this st...

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Detaylı Bibliyografya
Asıl Yazarlar: Ziegler, Alice, Meyer, Hanna, Otte, Insa, Peters, Marcell K., Appelhans, Tim, Detsch, Florian, Reudenbach, Christoph, Wöllauer, Stephan, Nauss, Thomas
Materyal Türü: Makale
Dil:İngilizce
Baskı/Yayın Bilgisi: Philipps-Universität Marburg 2022
Konular:
Geografie, Reisen
biodiversity
species richness
partial least square regression
birds
predictive modeling
elevation
LiDAR
bats
arthropods
Geography & travel
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Detaylı Erişim Bilgileri
Yer Numarası: urn:nbn:de:hebis:04-es2022-01589
Yayın Tarihi: 2022-09-01
Kaynak: Erstveröffentlichung: Ziegler A, Meyer H, Otte I, Peters MK, Appelhans T, Behler C, Böhning-Gaese K, Classen A, Detsch F, Deckert J, Eardley CD, Ferger SW, Fischer M, Gebert F, Haas M, Helbig-Bonitz M, Hemp A, Hemp C, Kakengi V, Mayr AV, Ngereza C, Reudenbach C, Röder J, Rutten G, Schellenberger Costa D, Schleuning M, Ssymank A, Steffan-Dewenter I, Tardanico J, Tschapka M, Vollstädt MGR, Wöllauer S, Zhang J, Brandl R, Nauss T. Potential of Airborne LiDAR Derived Vegetation Structure for the Prediction of Animal Species Richness at Mount Kilimanjaro. Remote Sensing. 2022; 14(3):786. https://doi.org/10.3390/rs14030786
Downloads: 34 (2024), 47 (2023), 4 (2022)
Lizenz: https://creativecommons.org/licenses/by/4.0
Erişim Adresi URL: https://archiv.ub.uni-marburg.de/es/2022/0158
https://doi.org/10.3390/rs14030786

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