Remote sensing-supported mapping of the activity of asubterranean landscape engineer across an afro-alpineecosystem

Remote sensing-supported mapping of the activity of asubterranean landscape engineer across an afro-alpineecosystem

Subterranean animals act as ecosystem engineers, for example, through soil per-turbation and herbivory, shaping their environments worldwide. As the occur-rence of animals is often linked to above-ground features such as plant speciescomposition or landscape textures, satellite-based remote sensing...

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Autoren: Wraase, Luise, Reuber, Victoria M., Kurth, Philipp, Fekadu, Mekbib, Demissew, Sebsebe, Miehe, Georg, Opgenoorth, Lars, Selig, Ulrike, Woldu, Zerihun, Zeuss, Dirk, Schabo, Dana G., Farwig, Nina, Nauss, Thomas
Format: Artikel
Sprache:Englisch
Veröffentlicht: Philipps-Universität Marburg 2022
Schlagworte:
subterranean animals
species distribution
afro-alpine ecosystems
remote sensing
ecosystem engineer, machine learning
Geografie, Reisen
Geography & travel
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Signatur: urn:nbn:de:hebis:04-es2024-02318
Publikationsdatum: 2024-01-09
Quelle: Erstveröffentlichung: Wraase, L., Reuber, V.M., Kurth, P., Fekadu, M., Demissew, S., Miehe, G., Opgenoorth, L., Selig, U., Woldu, Z., Zeuss, D., Schabo, D.G., Farwig, N. and Nauss, T. (2023), Remote sensing-supported mapping of the activity of a subterranean landscape engineer across an afro-alpine ecosystem. Remote Sens Ecol Conserv, 9: 195-209. https://doi.org/10.1002/rse2.303
Downloads: 29 (2024)
Lizenz: https://creativecommons.org/licenses/by-nc-nd/4.0/
Zugangs-URL: https://archiv.ub.uni-marburg.de/es/2024/0231
https://doi.org/10.1002/rse2.303

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