AimI will focus on the development of a new, free research tool (GLOBE), which allows for researchers to interact with local case studies and interpret using global datasets the representativeness and/or similarity of case studies to other studies utilizing a suite of variables. This tool represents an exciting opportunity for conservation researchers to more systematically address gaps and patterns of case study research in a globally meaningful way.
MethodsGlobe is an online collaboration environment that allows researchers and institutions to rapidly share, compare and synthesize local and regional studies using global datasets of human and environmental variables. This can be achieved through two types of analysis: Similarity and Representativeness. This presentation will demonstrate some of GLOBE’s functionality through presenting on an ongoing a meta-analysis of conservation studies in India.
ResultsIn addition to demonstrating how GLOBE’s similarity and representativeness analyses tools can be leveraged by land change science researchers, this presentation will present on a proposed meta-analysis of conservation studies in India as a demonstration of GLOBE’s functionality and value for conservation researchers in identifying research gaps based on a suite of social and environmental variables.
ConservationGLOBE represents a method for conservation researchers to analyze their own local studies within a global context. . While remote sensing and global climate modeling have transformed how we observe and model global patterns, human systems and their impacts are not observable from space, nor can they be modeled globally without a better grasp of how coupled human-natural systems function locally, which GLOBE seeks to address.