Spatially explicit decision support systems are assuming an increasing role in natural resource and conservation management. In order for these systems to be successful, however, they must address real-world management problems with input from both the scientiWc and management communities. The National Training Center at Fort Irwin, California, has expanded its training area, encroaching U.S. Fish and Wildlife Service critical habitat set aside for the Mojave desert tortoise (Gopherus agassizii), a federally threatened species. Of all the mitigation measures proposed to oVset expansion, the most challenging to implement was the selection of areas most feasible for tortoise translocation. We developed an objective, open, scientiWcally defensible spatially explicit decision support system to evaluate translocation potential within the Western Mojave Recovery Unit for tortoise populations under imminent threat from military expansion. Using up to a total of 10 biological, anthropogenic, and/or logistical criteria, seven alternative translocation scenarios were developed. The Wnal translocation model was a consensus model between the seven scenarios. Within the Wnal model, six potential translocation areas were identiWed.
Ensuring the persistence of at-risk species depends on implementing conservation actions that ameliorate threats. We developed and implemented a method to quantify the relative importance of threats and to prioritize recovery actions based on their potential to affect risk to Mojave desert tortoises (Gopherus agassizii). We used assessments of threat importance and elasticities of demographic rates from population matrix models to estimate the relative contributions of threats to overall increase in risk to the population. We found that urbanization, human access, military operations, disease, and illegal use of off highway vehicles are the most serious threats to the desert tortoise range-wide. These results suggest that, overall, recovery actions that decrease habitat loss, predation, and crushing will be most effective for recovery; specifically, we found that habitat restoration, topic-specific environmental education, and land acquisition are most likely to result in the greatest decrease in risk to the desert tortoise across its range. In addition, we have developed an application that manages the conceptual model and all supporting information and calculates threat severity and potential effectiveness of recovery actions. Our analytical approach provides an objective process for quantifying threats, prioritizing recovery actions, and developing monitoring metrics for those actions for adaptive management of any at-risk species.
A University of Redlands travel course to Panama builds on Monty Hempel's legacy in environmental studies, Experiential Environmental Education, and geographic information systems (GIS) instruction at the University of Redlands. It follows his experience developing social relationships in Panama, and nearly 20 years leading an EEE travel course to Palau. This Panama course, nicknamed "GIS in the Jungle," tasks students with activities such as trail mapping, gathering original data with unmanned aerial vehicles (UAV), landcover mapping of pastures and forests, and visualizing the distribution of above-ground forest carbon content. These GIS activities help students construct an understanding of rainforest conservation that integrates their experiences living, hiking, and collecting original data in that environment. UAV and GIS also provided a platform for interacting with indigenous peoples struggling to defend their rainforest territory from colonist deforestation. As Monty Hempel observed about this course, students use GIS and UAV to integrate their direct experience with ground-level fieldwork in the rainforest with a birds-eye view of the interlocking ecosystems and human impacts. Combined with direct rainforest experiences, GIS projects help students develop an understanding of nature's interlocking systems and the interdependence of life on Earth.
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