ArticleScientific data2024
Bioclimatic indicators dataset for the orographically complex Canary Islands archipelago.
Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
2 citing papers in PubMed.
- Island water stress: analyzing the Canary Islands' hydrological response to climate change.Environmental monitoring and assessment · 2026Article
- Bioclimatic indicators dataset for the orographically complex Canary Islands archipelago.Scientific data · 2024Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The Canary Islands are an archipelago of significant natural value, with a large variety of endemic species living in them, making essential the study of the effects of climate change. This research is based on the use of dynamic techniques of climatic regionalisation to obtain climate projections that contribute to the conservation of ecosystems in the Canary Islands. In this work, climate projections derived from WRF simulations with a spatial resolution of 3 km were used to obtain a novel dataset of 53 bioclimatic indicators, called BICI-ULL (Bioclimatic Indicators in the Canary Islands, University of La Laguna). The regional climate simulations were driven by three CMIP5 models (GFDL-ESM2M, IPSL-CM5A-MR, and MIROC-ESM) over three periods (1980-2009, 2030-2059, 2070-2099) and two emission scenarios (representative concentration pathway 4.5 and 8.5), to obtain, among others, the standard climatic variables used to generate the bioclimatic indicators: temperature, precipitation, solar radiation, humidity and wind speed.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.