In the land use and land cover (LULC) literature, narrative scenarios are qualitative descriptions of plausible futures associated with a combination of socioeconomic , policy, technological, and climate changes. LULC models are then often used to translate these narrative descriptions into quantitative characterizations of possible future societal and ecological impacts and conditions. To respect the intent of the underlying scenario descriptions, this process of translation needs to be thoughtful, transparent, and reproducible. This paper evaluates the current state of the art in scenario translation methods and outlines their relative advantages and disadvantages, as well as the respective roles of stakeholders and subject matter experts. We summarize our findings in the form of a decision matrix that can assist land use planners, scientists, and modelers in choosing a translation method appropriate to their situation.
ABSTRACT. We look to a particular social-ecological system, the restoration community in Rhode Island, USA and the rivers, wetlands, marshes, and estuaries they work to protect, to draw connections between communication, community involvement, and ecological restoration project success. Offering real-world examples drawn from interviews with 27 local, state, federal, and nonprofit restoration managers, we synthesize the mechanisms that managers found effective to argue that the communication employed by resource managers in each phase of the restoration process, in prioritization, implementation, and monitoring, and for garnering broad-based support, shapes the quality of public engagement in natural resources management, which, in turn, can impact the stakeholder, learning, and ecological success of restoration projects. Despite the possible trade-offs and conflicts between social and ecological outcomes, we suggest that managers need to consider their desired social-ecological outcomes and work from the outset to deliberately design mechanisms for communication and public engagement that weave community stakeholders into all phases of restoration projects in sustained and consequential ways.
The Atlantic Slope Consortium (ASC) is a project designed to develop and test a set of indicators in coastal systems that are ecologically appropriate, economically reasonable, and relevant to society. The suite of indicators will produce integrated assessments of the condition, health and sustainability of aquatic ecosystems based on ecological and socioeconomic information compiled at the scale of estuarine segments and small watersheds. The research mandate of the ASC project is the following:Using a universe of watersheds, covering a range of social choices, we ask two questions:• How ''good'' can the environment be, given those social choices?• What is the intellectual model of condition within those choices, i.e., what are the causes of condition and what are the steps for improvement?As a basis for compiling ecological indicators, a watershed classification system was required for the experimental design. The goal was to develop approximately five categories of watersheds for each physiographic province, utilizing landscape and land use parameters that would be predictive of aquatic resource condition. All 14-digit Hydrologic Unit Code (HUC) watersheds in the Mid-Atlantic region would then be classified according to the regime. Five parameters were utilized for the classification: three land cover categories, consisting of forested, agricultural, and urban, median slope or median elevation, and total *Corresponding author. 12, 209-223, 2005 1352-8505 Ó 2005 Springer Science+Business Media, Inc.
Environmental and Ecological Statisticsvariance of land covers in 1-km-radius circles positioned on all stream convergence points in a specified 14-digit HUC watershed. Cluster analysis utilizing these five parameters resulted in approximately five well-defined watershed classes per physiographic province. The distribution of all watersheds in the Mid-Atlantic region across these categories provides a unique report on the probable condition of watersheds in the region.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.