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Bioclimatic indicators dataset for the orographically complex Canary Islands archipelago
Paula Sosa-Guillén1, Albano González2, Juan C Pérez2
1Grupo de Observación de la Tierra y la Atmósfera (GOTA). Universidad de La Laguna. A/Astrofísico Francisco Sánchez s/n. 38200 La Laguna, Tenerife, España, Spain. paula.sosa.guillen.09@ull.edu.es.
Scientific Data
|December 5, 2024
Summary
Climate change impacts on the Canary Islands
Area of Science:
- Environmental Science
- Climate Science
- Ecology
Background:
- The Canary Islands possess significant natural value and endemic species.
- Understanding climate change effects is crucial for ecosystem conservation in this region.
Purpose of the Study:
- To generate high-resolution climate projections for the Canary Islands.
- To develop a novel dataset of bioclimatic indicators for ecosystem conservation efforts.
Main Methods:
- Utilized dynamic climatic regionalization techniques.
- Employed WRF simulations at a 3 km spatial resolution.
- Generated 53 bioclimatic indicators (BICI-ULL) from standard climate variables.
Main Results:
- Developed the BICI-ULL dataset using CMIP5 models and various emission scenarios.
- Simulations covered multiple future time periods (2030-2059, 2070-2099) and RCP scenarios (4.5, 8.5).
- Derived indicators from key climate variables including temperature, precipitation, solar radiation, humidity, and wind speed.
Conclusions:
- The BICI-ULL dataset provides valuable data for assessing climate change impacts on Canary Islands ecosystems.
- This research contributes to informed conservation strategies for the region's unique biodiversity.
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