Linkages to Public Land Framework: Toward Embedding Humans in Ecosystem Analyses by Using “Inside-Out Social Assessment

This article presents the ‘‘Linkages to Public Land’’ (LPL) Framework, a general but comprehensive data-gathering and analysis approach aimed at informing citizen and agency decision making about the social environment of public land. This social assessment and planning approach identifies and categorizes various types of linkages that people have to public land and guides the tasks of finding and using information on people in those linkages. Linkages are defined as the ‘‘coupling mechanisms’’ that explain how and why humans interact with ecosystems, while linkage analyses are empirical investigations contextualized both temporally and geographically. The conceptual, legal, and theoretical underpinnings of five basic linkage categories (tribal, use, interest, neighboring land, and decision making) and further refinement into subcategories are explained. These categories are based upon the complex property and decision-making regimes governing public land. Applying an ‘‘inside-out’’ analytic perspective, the LPL Framework assesses the social environment inside public land units and traces linkages out into the larger social environment, instead of assessing the outside social environment (communities or stakeholders) and assuming linkages exist between the social entities and public lands, as is generally done in social assessments. The LPL Framework can be utilized in management activities such as assessing baseline conditions and designing monitoring protocols, planning and evaluating management alternatives, analyzing impacts of decisions, structuring public involvement and conflict management efforts, and conducting collaborative learning and stewardship activities. The framework enhances understanding of human dimensions of ecosystem management by providing a conceptual map of human linkages to public land and a stepwise process for focusing and contextualizing social analyses. The framework facilitates analysis of the compatibilities, conflicts, and trade-offs between various linkages, and between cumulative human linkages and capabilities of public land to sustain them. While the LPL Framework was developed for use in planning for U.S. National Forests, it could be applied to other types of public land in the United States and adapted and extended to public lands and common property areas in other countries

Utah\u27s Rural Communities: Planning for the Future

Two of the biggest concerns facing rural communities in the Intermountain West today are the contrasting problems of rapid growth and development as opposed to economic decline and stagnation

Building an Interdisciplinary Research Program in Water Conservation: Approach, Preliminary Findings, and Next Steps

Effective urban water conservation programs must harness a synergy of new technologies, public policies, social cost pricing, information dissemination, citizen engagement, and coordinated actions across decision making scales. Together, these factors affect the volume of water an individual user ultimately saves and the overall success of a conservation program or programs. Over the past 18 months, we have started building an interdisciplinary research program in urban water conservation to quantify and assess the effects of these interconnected factors to motivate citizen engagement. We have interviewed water utility managers and conservation coordinators across the state of Utah, held focus groups with different water user groups, and tested our ability to recruit households into a future, multi-year water conservation study. Preliminary results suggest: Nearly all households we recruited agreed to enroll in the future study; Differences in enrollment were statistically insignificant across the different methods we used to interact with participants; and, Participants expressed interest in a broad range of information, technology, financial, and community conservation programs. In developing our research program, we have also identified the importance of: Broadly conceiving motivators, contexts, and scales (e.g. household or community) that may influence water use and conservation behavior; Developing integrated cyber-infrastructure and computing capabilities to collect and organize data, process it into site-specific, contextualized information, share it as feedback with participants, and subsequently measure its effects; Differentiating household capacity to conserve (comparing water use to need) from stated willingness-to-conserve and conservation actions; Involving household participants as collaborators through participatory action research; Training and delegating responsibilities to graduate student researchers; and, Collaborating with local water utilities. We are pursuing funding to run a large, multi-year study that will allow us to investigate the separate and cumulative effects of various water conservation programs on household water use. As part of the study, we also seek to test whether presenting households with estimates of their capacity to conserve can effectively motivate willingness-toconserve and conservation actions. The study will elucidate the contextualized factors that shape residential water use and people’s conservation actions

Measuring Spatio-temporal Trends in Residential Landscape Irrigation Extent and Rate in Los Angeles, California Using SPOT-5 Satellite Imagery

Irrigation is a large component of urban water budgets in semi-arid regions and is critical for the management of landscape vegetation and water resources. This is particularly true for Mediterranean climate cities such as Los Angeles, where water availability is limited during dry summers. These interactions were examined by using 10-m resolution satellite imagery and a database of monthly water use records for all residential water customers in Los Angeles in order to map vegetation greenness, the extent and distribution of irrigated areas, and irrigation rates. A water conservation ratio between rates of irrigation and vegetation water demand was calculated to assess over-irrigation. The analyses were conducted for the water years (WY) 2005–2007, which included wet, average, and dry extremes of annual rainfall. Although outdoor water usage was highest in the dry year, vegetation greenness could not be maintained as well as in wetter years, suggesting that lower greenness was due to water stress. However, annual rainfall from WY 2005 to 2007 did not significantly influence the variability in the magnitude and spatial pattern of irrigation, with mean irrigated rates ranging only from 81 to 86 mm. The water conservation ratio showed that 7 % of the postal carrier routes across the city were over-irrigated in the dry year, but 43 % were over-irrigated in the wet year. This was largely because the climatic demand for water by vegetation decreased in wet years, but irrigation rates changed little from year-to-year. This overwatering can be addressed by water conservation, planning and public education, especially in the current California drought. The approach demonstrated here should be transferable to other cities in semi-arid climates

A Multilevel Analysis of the Drivers of Household Water Consumption in a Semi-arid Region

Communities across the Western United States face the growing challenge of managing water resources in the face of rapid population growth and climate change. There are two contrasting approaches to understanding and managing residential water demand in this context. Many scientists and water managers see water use as a reflection of individual attitudes and decisions where people are assumed to have the agency to act independently of structural constraints. Conversely, other scientists and policymakers focus on the importance of the built environment and the broader social, economic, and policy contexts within which households make water decisions. Using multilevel models, we compared attitudinal, demographic, and structural drivers of indoor and outdoor residential water use for a sample of households in Northern Utah. We estimated multilevel mixed-effect Poisson models with robust standard errors using matched household survey data with metered residential water use records. Outdoor water use had a substantially greater amount of neighborhood-level variation than indoor water use. Structural factors generally eclipsed individual agency in our analysis. While indoor use was most strongly predicted by household size, tenure status, and length of residence, outdoor water use was most associated with the built environment (lot size and the presence of vegetable gardens and underground sprinklers), socioeconomic status (household income, rental status), and residents\u27 sensitivity to lawn watering norms. Higher water prices were associated with lower water use, with lower-income households being more responsive to prices than higher-income households. Our findings have important implications for water managers and policymakers

A Multilevel Analysis of the Drivers of Household Water Consumption in a Semi-arid Region

Communities across the Western United States face the growing challenge of managing water resources in the face of rapid population growth and climate change. There are two contrasting approaches to understanding and managing residential water demand in this context. Many scientists and water managers see water use as a reflection of individual attitudes and decisions where people are assumed to have the agency to act independently of structural constraints. Conversely, other scientists and policymakers focus on the importance of the built environment and the broader social, economic, and policy contexts within which households make water decisions. Using multilevel models, we compared attitudinal, demographic, and structural drivers of indoor and outdoor residential water use for a sample of households in Northern Utah. We estimated multilevel mixed-effect Poisson models with robust standard errors using matched household survey data with metered residential water use records. Outdoor water use had a substantially greater amount of neighborhood-level variation than indoor water use. Structural factors generally eclipsed individual agency in our analysis. While indoor use was most strongly predicted by household size, tenure status, and length of residence, outdoor water use was most associated with the built environment (lot size and the presence of vegetable gardens and underground sprinklers), socioeconomic status (household income, rental status), and residents\u27 sensitivity to lawn watering norms. Higher water prices were associated with lower water use, with lower-income households being more responsive to prices than higher-income households. Our findings have important implications for water managers and policymakers