ArticleZoological research2026
Global Camera Trapping Inventory (GCTI) v.1.0: A worldwide inventory of camera-trapping studies for spatial biodiversity analysis.
Article in Zoological research, 2026. 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
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Sexual differences of temporal marking and communication behaviours of common leopards (Panthera pardus) in Luolong County, Tibet.BMC ecology and evolution · 2026Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Camera traps have significantly advanced biodiversity monitoring by enabling standardized, noninvasive detection of medium- and large-sized wildlife across broad spatial scales. However, the lack of data sharing within the camera-trapping community, particularly during the early development of the field, has restricted the availability of public species-occurrence records and limited the integration of camera-trap evidence into global spatial analyses. Data sensitivity, especially for threatened species, has further constrained open access to study-level geographic records. To address this gap, the Global Camera Trapping Inventory (GCTI) v.1.0 was developed to compile project-level spatial information from 970 camera-trapping studies indexed in the Web of Science (WoS) and China National Knowledge Infrastructure (CNKI) between 1990 and 2023. The database includes an Excel file with 22 fields documenting study design, survey methods, recorded taxa, and associated metadata, together with three shapefile formats that capture geographic information at complementary spatial resolutions. The GCTI database was established to strengthen open, collaborative data sharing in biodiversity monitoring while preserving the spatial structure needed for research synthesis. By providing project-level shapefiles linked to specific regions and species, GCTI offers a spatially explicit resource for biodiversity, conservation, ecology, and biogeography research. Compared with existing platforms such as Wildlife Insights and eMammal, GCTI provides data suitable for meta-analyses, literature reviews, and spatial overlap analyses with global biodiversity resources, such as GBIF and the IUCN Red List. To facilitate data access and application, an interactive web platform was developed to enable online searching, visualization, and download (https://biodiversityoptimization.shinyapps.io/gcti_v1/).
Indexed as
Identifiers
What OpenQuestion holds
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.