| RRC ID |
82214
|
| 著者 |
Cordier JM, Osorio-Olvera L, Huais PY, Tomba AN, Villalobos F, Nori J.
|
| タイトル |
Capability of big data to capture threatened vertebrate diversity in protected areas.
|
| ジャーナル |
Conserv Biol
|
| Abstract |
Protected areas (PAs) are an essential tool for conservation amid the global biodiversity crisis. Optimizing PAs to represent species at risk of extinction is crucial. Vertebrate representation in PAs is assessed using species distribution databases from the International Union for Conservation of Nature (IUCN) and the Global Biodiversity Information Facility (GBIF). Evaluating and addressing discrepancies and biases in these data sources are vital for effective conservation strategies. Our objective was to gain insights into the potential constraints (e.g., differences and biases) of these global repositories to objectively depict the diversity of threatened vertebrates in the global system of PAs. We assessed differences in species richness (SR) of threatened vertebrates as reported by IUCN and GBIF in PAs globally and then compared how biased this information was with reports from independent sources for a subset of PAs. Both databases showed substantial differences in SR in PAs (t = -62.35, p ≤ 0.001), but differences varied among regions and vertebrate groups. When these results were compared with data from independent assessments, IUCN overestimated SR by 575% on average and GBIF underestimated SR by 63% on average, again with variable results among regions and groups. Our results indicate the need to improve analyses of the representativeness of threatened vertebrates in PAs such that robust and unbiased assessments of PA effectiveness can be conducted. The scientific community and decision makers should consider these regional and taxonomic disparities when using IUCN and GBIF distributional data sources in PA assessment. Overall, supplementing information in these databases could lead to more robust and reliable analyses. Additional efforts to acquire more comprehensive and unbiased data on species distributions to support conservation decisions are clearly needed.
|
| ページ |
e14371
|
| 公開日 |
2024-9-3
|
| DOI |
10.1111/cobi.14371
|
| 解説 |
NIES data were referenced. BiodiC-J data were referenced.
|
| PMID |
39225275
|
| MeSH |
Animals
Big Data*
Biodiversity*
Conservation of Natural Resources* / methods
Databases, Factual
Endangered Species*
Vertebrates* / physiology
|
| IF |
5.405
|
| リソース情報 |
| GBIF |
Long-term fauna and flora records of the experimental forests of the Forest Research Station of Hokkaido University, Japan
Migratory shorebirds (sandpipers and plovers) in Hokkaido
Monitoring Sites 1000 Satoyama Mammals
Acoustic monitoring data of avian species inside and outside the evacuation zone of the Fukushima Daiichi power plant accident
Bird Specimens in the Museum of Nature and Human Activities, Hyogo, Japan
Birds Specimens of Akita Prefectural Museum
Mammalians Specimens of Akita Prefectural Museum
Ibaraki Nature Museum, Mammals collection
Ibaraki Nature Museum, Birds collection
Akita Prefectural Museum, Observation Records of Birds in Akita Prefecture
Zoological specimens of Gifu Prefectural Museum
Mammal specimens of Komatsu City Museum
Gunma Museum of Natural History, Mammal Specimen
Bird specimens of Komatsu City Museum
Annual Census on Waterfowl (Anatidae) Population
Monitoring Sites 1000 Satoyama Birds
Bird specimens of Toyota City Nature Sanctuary
Fixed Point Survey for Shorebirds of the family Scolopacidae and Charadriidae
Bird specimens of Saitama Museum of Natural History |
