CamTrapAsia: A dataset of tropical forest vertebrate communities from 239 camera trapping studies.
abundance
animal
biodiversity
bird
community
count
distribution
mammal
occurrence
richness
tropical forest
vertebrate
Journal
Ecology
ISSN: 1939-9170
Titre abrégé: Ecology
Pays: United States
ID NLM: 0043541
Informations de publication
Date de publication:
22 Apr 2024
22 Apr 2024
Historique:
revised:
26
09
2023
received:
16
11
2023
accepted:
30
01
2024
medline:
23
4
2024
pubmed:
23
4
2024
entrez:
23
4
2024
Statut:
aheadofprint
Résumé
Information on tropical Asian vertebrates has traditionally been sparse, particularly when it comes to cryptic species inhabiting the dense forests of the region. Vertebrate populations are declining globally due to land-use change and hunting, the latter frequently referred as "defaunation." This is especially true in tropical Asia where there is extensive land-use change and high human densities. Robust monitoring requires that large volumes of vertebrate population data be made available for use by the scientific and applied communities. Camera traps have emerged as an effective, non-invasive, widespread, and common approach to surveying vertebrates in their natural habitats. However, camera-derived datasets remain scattered across a wide array of sources, including published scientific literature, gray literature, and unpublished works, making it challenging for researchers to harness the full potential of cameras for ecology, conservation, and management. In response, we collated and standardized observations from 239 camera trap studies conducted in tropical Asia. There were 278,260 independent records of 371 distinct species, comprising 232 mammals, 132 birds, and seven reptiles. The total trapping effort accumulated in this data paper consisted of 876,606 trap nights, distributed among Indonesia, Singapore, Malaysia, Bhutan, Thailand, Myanmar, Cambodia, Laos, Vietnam, Nepal, and far eastern India. The relatively standardized deployment methods in the region provide a consistent, reliable, and rich count data set relative to other large-scale pressence-only data sets, such as the Global Biodiversity Information Facility (GBIF) or citizen science repositories (e.g., iNaturalist), and is thus most similar to eBird. To facilitate the use of these data, we also provide mammalian species trait information and 13 environmental covariates calculated at three spatial scales around the camera survey centroids (within 10-, 20-, and 30-km buffers). We will update the dataset to include broader coverage of temperate Asia and add newer surveys and covariates as they become available. This dataset unlocks immense opportunities for single-species ecological or conservation studies as well as applied ecology, community ecology, and macroecology investigations. The data are fully available to the public for utilization and research. Please cite this data paper when utilizing the data.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e4299Subventions
Organisme : Nanyang Technological University
Organisme : GBIF: Biodiversity Information Fund for Asia
ID : BIFA6_005
Organisme : Australian Research Council
ID : DE210101440
Organisme : National Geographic Society
ID : 9384-13
Organisme : Smithsonian Institution ForestGEO program
Organisme : University of Queensland Centre for Biodiversity and Conservation Science
Informations de copyright
© 2024 The Authors. Ecology published by Wiley Periodicals LLC on behalf of The Ecological Society of America.