📚 Volume 30, Issue 9
📋 ID: HP2eyjn
Authors
, Oluwaseun Meyer, Roberto Schneider, Stefan Miller
Department of Environmental Sciences, University of Zurich, Zurich, Switzerland
Keywords
Climate Change
Alpine Ecosystems
Plant Biodiversity
Weighted Clustering
Environmental Data Analysis
Abstract
Climate change poses significant threats to alpine ecosystems, leading to shifts in plant biodiversity. This study introduces an innovative Weighted Clusters in Locally Adaptive Clustering (WLAC) algorithm to analyze the effects of climate variations on alpine plant species distribution. By assigning differential weights to environmental variables, WLAC provides enhanced accuracy in detecting shifts in species clusters. Through comprehensive field studies and data analysis across various alpine regions, our findings reveal critical insights into species resilience and adaptation strategies. The proposed methodology offers a valuable tool for ecologists aiming to predict biodiversity changes in response to ongoing climate dynamics.
🔐
Login to Download PDF
Please login with your Paper ID and password to access the full PDF.
🔑 Login to Download
📝 How to Cite
, Oluwaseun Meyer, Roberto Schneider, Stefan Miller (2023).
"Assessing the Impact of Climate Change on Alpine Plant Biodiversity Using Weighted Clustering Algorithms".
Wulfenia, 30(9).