The First Political-Ecological Database and Its Use in Episode Analysis

Biodiversity loss is a consequence of socio-ecological processes. Observations on anthropogenic actions toward ecosystems coupled to observations ecosystem metrics are needed help understand these processes so that management policies can be derived and implemented curb such destruction. Such data needs maintained in searchable portals. To this end, article delivers first-of-its-kind relational database actions. This Ecosystem Management Actions Taxonomy (EMAT) founded taxonomy designed support models political-ecological Structured query language scripts for building querying databases described. The use episodes the construction theory also introduced. These frequently occurring sequences Those test positive causality aid improving by driving modifications an attendant computational model it generates them. Two described built from online news articles published species abundance. first concerns East African cheetah ( Acinonyx jubatus ) population, second focused rhinoceroses Ceratotherium simum South Africa. used study political drivers habitat loss, rhino poaching. An EMAT fundamental breakthrough because provides conservation science identify objects phenomena about. Therefore, maintaining will advance consequently, improve based science.