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...

Olles dieđut

Furkejuvvon:
Bibliográfalaš dieđut
Váldodahkkit: Ziegler, Alice, Meyer, Hanna, Otte, Insa, Peters, Marcell K., Appelhans, Tim, Detsch, Florian, Reudenbach, Christoph, Wöllauer, Stephan, Nauss, Thomas
Materiálatiipa: Artihkal
Giella:eaŋgalasgiella
Almmustuhtton: Philipps-Universität Marburg 2022
Fáttát:
Geografie, Reisen
biodiversity
species richness
partial least square regression
birds
predictive modeling
elevation
LiDAR
bats
arthropods
Geography & travel
Liŋkkat:PDF-ollesdeaksta
Fáddágilkorat: Lasit fáddágilkoriid
Eai fáddágilkorat, Lasit vuosttaš fáddágilkora!

Interneahtta

PDF-ollesdeaksta

oažžasuvvan:
Hildobáiki: urn:nbn:de:hebis:04-es2022-01589
Almmustuhttinbeaivi: 2022-09-01
Gáldu: 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: 35 (2024), 47 (2023), 4 (2022)
Lizenz: https://creativecommons.org/licenses/by/4.0
Liŋka materiálii: https://archiv.ub.uni-marburg.de/es/2022/0158
https://doi.org/10.3390/rs14030786

Geahča maid