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Range map datasets for terrestrial vertebrates across Taiwan.
Chang, An-Yu; Chen, Wan-Jyun; He, Rui-Yang; Lin, Da-Li; Lin, Yong-Lun; Lin, Te-En; Chou, Shih-Ping; Lin, Chun-Fu; Lin, Ruey-Shing; ChangChien, Lin-Wen; Chang, Shih-Wei; Cheng, Hsi-Chi; Lin, Yu-Hsiu; Tsai, Jo-Szu; Lee, Pei-Fen.
Afiliação
  • Chang AY; Endemic Species Research Institute, No.1, Ming-sheng East Road, Jiji, Nantou 552, Taiwan.
  • Chen WJ; Endemic Species Research Institute, No.1, Ming-sheng East Road, Jiji, Nantou 552, Taiwan.
  • He RY; Institute of Ecology and Evolutionary Biology, National Taiwan University, No.1, Section 4, Roosevelt Road, Taipei 106, Taiwan.
  • Lin DL; Wild Bird Society of Hualien, No. 4, Ln. 94, De'an 1st Street, Hualien City, Hualien 970, Taiwan.
  • Lin YL; Endemic Species Research Institute, No.1, Ming-sheng East Road, Jiji, Nantou 552, Taiwan.
  • Lin TE; School of Biological Science, The University of Queensland, Brisbane, Queensland 4072, Australia.
  • Chou SP; Endemic Species Research Institute, No.1, Ming-sheng East Road, Jiji, Nantou 552, Taiwan.
  • Lin CF; Endemic Species Research Institute, No.1, Ming-sheng East Road, Jiji, Nantou 552, Taiwan.
  • Lin RS; Institute of Ecology and Evolutionary Biology, National Taiwan University, No.1, Section 4, Roosevelt Road, Taipei 106, Taiwan.
  • ChangChien LW; Endemic Species Research Institute, No.1, Ming-sheng East Road, Jiji, Nantou 552, Taiwan.
  • Chang SW; Endemic Species Research Institute, No.1, Ming-sheng East Road, Jiji, Nantou 552, Taiwan.
  • Cheng HC; Endemic Species Research Institute, No.1, Ming-sheng East Road, Jiji, Nantou 552, Taiwan.
  • Lin YH; Endemic Species Research Institute, No.1, Ming-sheng East Road, Jiji, Nantou 552, Taiwan.
  • Tsai JS; Endemic Species Research Institute, No.1, Ming-sheng East Road, Jiji, Nantou 552, Taiwan.
  • Lee PF; Endemic Species Research Institute, No.1, Ming-sheng East Road, Jiji, Nantou 552, Taiwan.
Data Brief ; 42: 108060, 2022 Jun.
Article em En | MEDLINE | ID: mdl-35345840
ABSTRACT
Accurate data describing the geographic distribution of specific species form the basis for effective conservation management policies. However, for most species the freely available distributional information is usually confined to either expert maps or purely theoretical maps constructed by using a variety of modeling frameworks. These maps usually do not provide enough resolution for conservation applications or do not accurately describe the current distribution status. In this study, we constructed a novel workflow designed to integrate data from various species distribution models and expert knowledge into a single unified modeling process. Under this workflow, we systematically constructed current distribution maps for a selection of terrestrial vertebrates found across Taiwan. We used species distribution modeling as the base and then aggregated multiple open datasets describing species occurrence and environmental factors as data sources. Thereafter, we estimated the primary broad-scale and high spatial resolution species range maps using the MaxEnt modeling algorithm, and then consulted experts on each taxa to refine these maps. This dataset provides up-to-date species distribution maps for 379 terrestrial vertebrates in Taiwan, with members from across four taxa (27 amphibians, 52 reptiles, 264 birds, and 36 mammals). This dataset helps to fill the spatial knowledge gaps for conservation concerns and improves our understanding of the geographic distribution of more than half (61%) of the vertebrate species of Taiwan. Furthermore, by stacking the range maps of multiple species, we can identify vertebrate diversity hotspots and identify priority areas for conservation.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Data Brief Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Taiwan

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Data Brief Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Taiwan