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ISSN: 2157-7617

Journal of Earth Science & Climatic Change
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  • Short Communication   
  • J Earth Sci Clim Change 2024, Vol 15(12): 12
  • DOI: 10.4172/2157-7617.1000866

Precipitation Extremes and Biodiversity Loss: A Study Using Remote Sensing

Yuki Tanaka*
Department of Earth Science, Kyoto University, Japan
*Corresponding Author : Yuki Tanaka, Department of Earth Science, Kyoto University, Japan, Email: yuki.tanaka@kyoto-u.ac.jp

Received Date: Dec 02, 2024 / Published Date: Dec 31, 2024

Abstract

Precipitation extremes, including both heavy rainfall and prolonged droughts, have been increasingly observed across the globe, with significant impacts on ecosystems and biodiversity. These extreme weather events, exacerbated by climate change, threaten the stability of ecosystems and the survival of many species. Remote sensing technology has proven to be a valuable tool in monitoring precipitation patterns and assessing the subsequent effects on biodiversity. This study explores the relationship between precipitation extremes and biodiversity loss using remote sensing data, focusing on the spatial and temporal patterns of precipitation variability and its effects on ecosystems. By analyzing satellite-based observations, including data from MODIS and Landsat satellites, alongside field studies and biodiversity metrics, the study highlights the region’s most vulnerable to precipitation extremes. The findings suggest that areas experiencing heightened rainfall variability and more frequent droughts show significant biodiversity loss, particularly in ecosystems such as tropical forests, wetlands, and savannas. The study concludes that remote sensing provides critical insights for understanding the impacts of climate-induced precipitation extremes on biodiversity, offering a foundation for effective conservation and adaptation strategies.

Citation: Yuki T (2024) Precipitation Extremes and Biodiversity Loss: A Study Using Remote Sensing. J Earth Sci Clim Change, 15: 866. Doi: 10.4172/2157-7617.1000866

Copyright: 漏 2024 Yuki T. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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