Conservation initiatives strive for reliable and cost-effective species monitoring. However, resource constraints mean management decisions are overly reliant on data derived from single methodologies, resulting in taxonomic or geographic biases. We introduce a data integration framework to optimize species monitoring in terms of spatial representation, the reliability of biodiversity metrics, and the cost of implementation, focusing on tigers and their principal prey (sambar deer and wild pigs).
View Article and Find Full Text PDF