2020 ESA Annual Meeting (August 3 - 6)

COS 163 Abstract - National trends in closing spatiotemporal biodiversity knowledge gaps via complementary data types

Ruth Y. Oliver1, Carsten Meyer2, Jorge Ahumada3, Roland Kays4, Tim O'Brien5, Ajay Ranipeta1 and Walter Jetz1, (1)Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT, (2)German Centre for Integrative Biodiversity Research (iDiv), (3)TEAM Network, Moore Center for Science, Conservation International, (4)North Carolina State, (5)Global Conservation Programs, Wildlife Conservation Society, New York, NY
Background/Question/Methods

The growing threats to global biodiversity demand understanding species status and trends in order to deploy efficient and effective conservation measures. Doing so requires detailed information on species distributions across large geographic scales, which ultimately falls on individual nations to report. Thus, determining complementarity or redundancy of datasets, identifying biodiversity information gaps, and understanding trends in data coverage over time are priorities to both scientific and political communities. Using over a century’s (1900-2018) worth of digitally accessible species point occurrences, we investigated temporal trends in global data coverage and data efficacy for terrestrial vertebrates at the national level. Further, we demonstrate the potential of camera trapping to contribute to biodiversity science using ca. 4 million publicly available camera trap observations from the newly released Wildlife Insights (WI).

Results/Conclusions

We found large heterogeneity in biodiversity data coverage over the previous decade (2009-2018) among nations (mean = 0.06, max = 0.39) and taxa (mean values, birds = 0.19, mammals = 0.025, amphibians = 0.013, reptiles = 0.007) and characterize nations by trends in coverage. We found 35% of nations increased in both data coverage and sampling efficacy over the previous decade, whereas 44% increased in coverage at the expense of sampling efficacy. We identified nations, primarily in the tropics, and species, primarily small-bodied mammals, for which camera-trapping observations had the largest contribution to data coverage. Our findings provide a critical assessment of the effectiveness of biodiversity inventories over the past century to understanding rapid changes in global biodiversity.