Large landscape conservation planning often requires managers to coordinate with private landowners, especially in regions like the southern and western U.S. where private landownership dominates. It is often difficult to design conservation programs that incorporate varying landowner perceptions, values, and ownership objectives. Simple and transferable methods are needed to inform the design of landscape-scale conservation and restoration programs, and we propose that this can be done by targeting ecosystem services (ES) of interest to private landowners.

In development and sustainability, evidence spans disciplines and methodological traditions and is often inconclusive. Graphical models are widely promoted to organize interdisciplinary evidence and improve decision-making by considering mediating variables. However, the reproducibility, objectivity and benefits for decision-making of graphical models have not been studied. In this paper, the authors evaluate these considerations in the setting of energy services in the developing world, a contemporary development and sustainability imperative.

Ecosystem accounts, as formalized by the System of Environmental-Economic Accounting Experimental Ecosystem Accounts (SEEA EEA), have been compiled in a number of countries, yet there have been few attempts to develop them for the U.S. We explore the potential for U.S. ecosystem accounting by compiling ecosystem extent, condition, and ecosystem services supply and use accounts for a 10-state region in the Southeast. The pilot accounts address air quality, water quality, biodiversity, carbon storage, recreation, and pollination for selected years from 2001 to 2015.

This project explores how these non-USFS models could be combined with existing USFS models to provide a fuller analysis of ecosystem services outcomes from different management scenarios. We used an ecosystem service conceptual model as a framework to examine the utility of currently available predictive models for quantifying the effects of fire and timber management on ecosystem services and socioeconomic outcomes.

This report represents an examination of compensatory mitigation of aquatic resources (i.e., streams and wetlands) on U.S. federal lands through an examination of case studies and a review of the legal landscape in which such mitigation takes place.

The GEMS (Gulf of Mexico Ecosystem Service Logic Models and Socio-Economic Indicators) team will develop ESLMs and metrics for a wide range of coastal restoration approaches over the course of the project. This report presents the results of the first phase of the GEMS project, which focused on oyster reef restoration. 

Although health, development, and environment challenges are interconnected, evidence remains fractured across sectors due to methodological and conceptual differences in research and practice. Aligned methods are needed to support Sustainable Development Goal advances and similar agendas. The Bridge Collaborative, an emergent research-practice collaboration, presents principles and recommendations that help harmonize methods for evidence generation and use.

This report, co-authored by the Bridge Collaborative and UNDP, highlights three global challenges that require cross-sector solutions, and actions that can be taken now to drive bigger change faster for people and the world we share.

Coastal wetlands provide diverse ecosystem services such as flood protection and recreational value. However, predicting changes in ecosystem service value from restoration or management is challenging because environmental systems are highly complex and uncertain. Furthermore, benefits are diverse and accrue over various timescales. We developed a generalizable mathematical coastal management model to compare restoration expenditures to ecosystem service benefits and apply it to McInnis Marsh, Marin County, California, USA.

Military bases provide substantial ecosystem services to local communities and other members of the public. This project conceptualizes and quantifies ecosystem services provided by U.S. military bases developing an integrated modeling platform called MoTIVES (Model-based Tracking and Integrated Valuation of Ecosystem Services). MoTIVES manages probabilistic simulations of biophysical and economic models for relevant ecosystem services provided by alternative base management scenarios, and then assigns values where valuation is possible.