Five Ways How Geospatial Technologies are Transforming Conservation in Practice Lilian Pintea Vice President, Conservation Science the Jane Goodall Institute lpintea@janegoodall.org Photo: Launching an UAV in Thcimpounga Source: Jeff Kerby
the Jane Goodall Institute s 30-year Mission Goal: To protect with partners 85% of chimpanzees and their habitats in Africa Vision: A viable, diverse and stable population of chimpanzees living in peaceful coexistence with human communities
Forest conversion to farmland Threats Illegal and commercial logging Primary threats are habitat destruction and degradation along with illegal bushmeat hunting, illegal pet trade and disease. Approximately 70% of chimpanzee tropical forest habitat is threatened by infrastructure development and land use change (Nellemen & Newton 2002). 3
1. Empowering communities to improve land use planning
Combining science and technology with the local knowledge
Gombe National Park
Conservation core area defined by CAP
Conservation core area defined by CAP Village boundaries
Conservation core area defined by CAP Village boundaries & Village Forest Reserves established by land use plans
Conservation core area defined by CAP Village boundaries & Village Forest Reserves established by land use plans
Conservation core area defined by CAP Village boundaries & Village Forest Reserves established by land use plans
Conservation core area defined by CAP Village boundaries & Village Forest Reserves established by land use plans
Conservation core area defined by CAP Village boundaries & Village Forest Reserves established by land use plans
Village land use plans established individually for a coordinated result
2. Enabling communities and rangers to monitor forest and wildlife Click here to see Gombe in Street View Kigalye Village Forest Monitor Explore the map in Tour Builder
June, 2005 Kigalye Village Forest Reserve
June, 2013 Kigalye Village Forest Reserve
Kagongo Village Forest Reserve May, 2005
Kagongo Village Forest Reserve June, 2013
Quadcopter UAV in Kigalye village, Tanzania
Tchimpounga Nature Reserve, Republic of the Congo
Chimpanzee nests from UAV in Tanzania Source: Conservation Drones, Ugalla Primate Project and the Jane Goodall Institute
Chimpanzee nests from UAV in Tanzania Source: Conservation Drones, Ugalla Primate Project and the Jane Goodall Institute
3. From Monitoring to Action: Forest Watcher Mobile App
Forest Watcher mobile app: Enabling local stakeholders with limited and occasional Internet connectivity to receive and groundtruth deforestation alerts from Global Forest Watch.
Private Forest Owner Associations: collectively manage and negotiate for benefits, REDD+ and other payments for ecosystem services.
FORMA bi-weekly Deforestation alerts from MODIS satellites (points)
FORMA bi-weekly deforestation alerts from MODIS satellites (points) 500 x 500 meter pixels
Imagery QuickBird: January 2012 Deforestation alerts: 2012-2013 Field validation: April 2014
4. From the ground to the cloud and back to decisions Science & Technology Partners (data analysis, models, tools ) Field data collected by communities and rangers Cloud Dashboards for decision-makers in low bandwidth environments to visualize crowdsourced data from mobile collections
Monitoring and Forecasting Chimpanzee Habitat Health in Africa to Inform Conservation Actions, Strategies, and Measure Success Lilian Pintea 1, Samuel Jantz 2, Janet Nackoney 2, Matthew Hansen 2 1 The Jane Goodall Institute, Vienna, VA, USA, 2 Department of Geographical Sciences, University of Maryland, College Park, MD, USA Mapping Chimpanzee Habitat Health Developing a Decision Support System (DSS) Remote sensing and cloud computing enable the use of satellite observations to provide a synoptic view of habitats at fine spatial and temporal resolutions that are locally relevant and consistent across the entire chimpanzee range in Africa. With support from NASA s Applied Sciences Ecological Forecasting Program, JGI and UMD are developing an operational Decision Support System (DSS) to monitor chimpanzee habitat health. The system integrates Earth observations from 30-meter resolution Landsat data with a species-specific habitat model and a model forecasting future land use change, enhanced by crowd-sourced field data collected by local communities and rangers using the Open Data Kit app and Android mobile smartphones and tablets. Input data and the final DSS will be hosted on the Google Cloud. A user-friendly web interface using Google Earth Engine API will be developed for DSS use and maintance.
5. Enabling collaboration and data sharing
THANK YOU! Local communities and Governments of Tanzania, DRC, Uganda and Republic of Congo