Muhammad Muhammad results 4
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CamTrapAsia : A dataset of tropical forest vertebrate communities from 239 camera trapping studiesNARA Subscribed
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 t...
Optimal sampling design for spatial capture–recaptureNARA Subscribed
Spatial capture–recapture (SCR) has emerged as the industry standard for estimating population density by leveraging information from spatial locations of repeat encounters of individuals. The precision of density estimates depends fundamentally on the number and spatial configuration of traps. Despite this knowledge, existing sampling design recommendations are heuristic and their performance remains untested for most practic...
Multiple observation processes in spatial capture–recapture models: How much do we gain?NARA Subscribed
Population monitoring data may originate from multiple methods and are often sparse and fraught with incomplete information due to practical and economic constraints. Models that can integrate multiple survey methods and are able to cope with incomplete data may help investigators exploit available information more thoroughly. Here, we developed an integrated spatial capture–recapture (SCR) model to incorporate multiple data s...
Plant Response to Air Pollution.NARA Subscribed
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