Proceedings of the National Academy of Sciences · 2020 · 131 citations · 46 references
Natural ResourcesBiodiversity ConservationEcologyPopulation BiologyPopulation EcologyWildlife ManagementGenetic Diversity MonitoringPopulation DynamicsSpatial Population EcologyWildlife ConservationWildlife EcologyWildlife Population ManagementCarnivore Population ManagementPopulation TrackingSpatial Abundance EstimationSpatial Population AnalysisSpatial Population EstimationSpatial Population ModelingSpatial Population StructureWildlife Population Monitoring
Significance We are experiencing the accelerated loss and reconfiguration of biological diversity. Meanwhile, those charged with natural resource management are struggling to meet the challenges of monitoring and managing wildlife populations across vast areas crisscrossed by political borders. What if, akin to weather maps, we could track and forecast the dynamics of wildlife populations across space and time? Using the world’s most extensive large carnivore monitoring program, we showcase the application of an effective tool for spatially explicit quantification of wildlife population dynamics at scales that are relevant to management and conservation.
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R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
Markov Chain Monte Carlo in Practice
Mauro Gasparini, W. R. Gilks, Sylvia Richardson et al. · Technometrics · 1997 · 1.8K citations
Business, Biostatistics, Statistics +14