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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主要な著者: Ziegler, Alice, Meyer, Hanna, Otte, Insa, Peters, Marcell K., Appelhans, Tim, Detsch, Florian, Reudenbach, Christoph, Wöllauer, Stephan, Nauss, Thomas
フォーマット: 論文
言語:英語
出版事項: Philipps-Universität Marburg 2022
主題:
Geografie, Reisen
biodiversity
species richness
partial least square regression
birds
predictive modeling
elevation
LiDAR
bats
arthropods
Geography & travel
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予約･返却請求
請求記号: urn:nbn:de:hebis:04-es2022-01589
出版日付: 2022-09-01
ソース: 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
アクセスURL: https://archiv.ub.uni-marburg.de/es/2022/0158
https://doi.org/10.3390/rs14030786

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