Latest On The Conservation Gateway

A well-managed and operational Conservation Gateway is in our future! Marketing, Conservation, and Science have partnered on a plan to rebuild the Gateway into the organization’s enterprise content management system (AEM), with a planned launch of a minimal viable product in late 2024. If you’re interested in learning more about the project, reach out to for more info!

Welcome to Conservation Gateway

The Gateway is for the conservation practitioner, scientist and decision-maker. Here we share the best and most up-to-date information we use to inform our work at The Nature Conservancy.

Enhanced Conservation Action Planning: Assessing Landscape Condition and Predicting Benefits of Conservation Strategies


Authors used remote sensing, predictive ecological models, and cost-benefit assessments to develop a landscape-scale conservation action plan. The methods provided quantitative measurements of current and predicted future ecological conditions and evaluated the benefits and costs of alternative management strategies. The approach built upon The Nature Conservancy’s conservation action planning (CAP) methodology and tools developed by the national interagency LANDFIRE program.

The authors' approach, called “Enhanced CAP,” was designed to inform proposed management actions for the Bureau of Land Management and private land managers for a 76,464 ha (188,946 acre) project area in California’s Bodie Hills and northern Mono Lake Basin. Five of the area’s 15 ecological systems were found to be highly departed from their reference conditions. Using computer-based modeling and collaborative stakeholder participation, varied management scenarios were simulated for 20 years and 50 years.

A combination of ecologically-based and wildfire protection management was found to meet the conservation objectives for the least cost for seven of the eight systems selected for management attention. The key to enhanced planning was our ability to use remote sensing to calculate current landscape ecological condition and use computer models to isolate management strategies with the greatest ecological payoff for the least cost. Published in the Journal of Conservation Planning, Vol 6 (2010) 36-60.