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...

Повний опис

Збережено в:
Бібліографічні деталі
Автори: Ziegler, Alice, Meyer, Hanna, Otte, Insa, Peters, Marcell K., Appelhans, Tim, Detsch, Florian, Reudenbach, Christoph, Wöllauer, Stephan, Nauss, Thomas
Формат: Стаття
Мова:Англійська
Опубліковано: Philipps-Universität Marburg 2022
Предмети:
Geografie, Reisen
biodiversity
species richness
partial least square regression
birds
predictive modeling
elevation
LiDAR
bats
arthropods
Geography & travel
Онлайн доступ:PDF-повний текст
Теги: Додати тег
Немає тегів, Будьте першим, хто поставить тег для цього запису!
No citations were found for this record.

Схожі ресурси