Economic and biological analysis to aid system planning for salmon recovery in the Columbia River Basin

Wernstedt, Kris; Paulsen, Charles M.

doi:10.1016/s0301-4797(95)90245-7

Cited by 6 publications

(6 citation statements)

References 6 publications

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“…We used this approach, extending a cost‐effectiveness analysis (a.k.a. “biggest bang for the buck”; e.g., Wernstedt & Paulsen 1995; Newbold et al 2005) by determining the sensitivity of ecological metrics to a variety of restoration strategies. Sensitivity analyses (e.g., Merrifield 1997; Saltelli et al 2000) are essential because they examine some of the multiple sources of uncertainty (Lek 2007) that managers face when trying to make decisions about how and where to spend limited habitat restoration funds.…”

Section: Discussionmentioning

confidence: 99%

Effects of Spatial Pattern and Economic Uncertainties on Freshwater Habitat Restoration Planning: A Simulation Exercise

Fullerton

Steel

Lange

et al. 2010

Restoration Ecology

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Evaluating alternative future scenarios using simulation models is an emerging approach to conservation planning over large spatial and temporal extents. Such an approach is useful when predictions cannot be validated empirically; however, evaluating the sensitivity of scenario-based approaches to key uncertainties is necessary so that managers understand how real-world constraints might impact results. We used a simulation approach to investigate the sensitivity of freshwater habitat restoration plans to spatial pattern (e.g., project locations) and economic uncertainties (e.g., budget level and project costs) in a case study on Pacific salmon in the Lewis River Basin (WA, U.S.A.). We found that some evaluation metrics performed better when restoration was distributed randomly, whereas others improved more when restoration occurred on contiguous stretches of river. Subwatersheds responded differently to restoration, suggesting that intrinsic characteristics limit restoration potential. Changes in budget usually caused proportionate improvements in habitat but disproportionate fish responses, suggesting a cumulative benefit for fish. Most per-dollar benefits increased as project cost decreased; therefore, model predictions are sensitive to project cost. Simulation analyses provided increased information about how economics and spatial pattern might affect habitats and salmon; these insights can help policymakers identify an appropriate restoration strategy.

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Section: Discussionmentioning

confidence: 99%

Effects of Spatial Pattern and Economic Uncertainties on Freshwater Habitat Restoration Planning: A Simulation Exercise

Fullerton

Steel

Lange

et al. 2010

Restoration Ecology

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“…Cost of stocking programmes P Wernstedt and Paulsen (1995), and Michael (1999) Decline of anadromous fish spp. P, C, S Wallace and Ball (1978), Magnuson et al (1996), Dauble and Geist (2000), and Meixler et al problematic for accommodating progressive goals that potentially conflict with multiple agency objectives.…”

Section: Costsmentioning

confidence: 99%

Environmental and livelihood impacts of dams: common lessons across development gradients that challenge sustainability

Beck

Claassen

Hundt³

2012

International Journal of River Basin Management

105

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The economic benefits of dams have been assumed to outweigh the costs, thus providing rationale for construction of dams around the world. However, the development of these structures can be accompanied by negative biophysical, socio-economic, and geopolitical impacts; often through the loss of ecosystem services provided by fully functioning aquatic systems. Moreover, impacts of dams can be involuntarily imposed on marginalized peoples whose livelihoods are dependent on riverine resources. In this review, we examine the impacts of dam projects in regions of the world that are at different stages of development, using the USA, China, and Southeast Asia to represent a development gradient from developed to developing, respectively. Case studies for each region illustrate the environmental and livelihood impacts of dams in each region, while also providing a basis to better understand how environmental degradation is directly related to economic growth. We conclude that a distinct temporal component related to development mediates the relationship between policies and governance mechanisms and the mitigation of environmental and social costs of dams. The role of affected individuals to influence the political will behind dam projects and the importance of environmental advocacy is emphasized as a fundamental approach towards more sustainable development.

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“…Missing from the discussion, however, is any mention of the role that social, economic, and demographic data can play both in identifying participants in the decision-making process and in gleaning an understanding of the people who occupy the watershed. Wernstedt and Paulsen (1995) undertook a study of salmon recovery options available to resource managers in the Columbia River basin. Their study employed a system-wide modeling and analysis of financial costs and biological effects of fish-and wildlife-enhancing programs.…”

Section: Introductionmentioning

confidence: 99%

“…Their study employed a system-wide modeling and analysis of financial costs and biological effects of fish-and wildlife-enhancing programs. The objective of the systems analysis was to inform decision makers about the efficacy and consequences of least-cost mitigation efforts (Wernstedt and Paulsen, 1995). The analysis could have been enhanced had information on the economic status of consumers, upon whom the costs will ultimately fall, been incorporated.…”

Section: Introductionmentioning

confidence: 99%

INTEGRATING DEMOGRAPHIC AND LANDSAT (TM) DATA AT A WATERSHED SCALE¹

Kuczenski

Field

Voss

et al. 2000

J American Water Resour Assoc

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Recurrent calls for integrated resource management urge that an understanding of human activities and populations be incorporated into natural resource research, management, and protection efforts. In this paper, we hypothesize that watersheds can be a valuable geography for organizing an inquiry into the relationship between humans and the environment, and we present a framework for conducting such efforts. The framework is grounded in the emerging field of landscape ecology and incorporates demographic theory and data. Demography has been advanced by technological capabilities associated with the 1990 Census. Employing Geographic Information System (GIS) tools, we couple Landsat Thematic Mapper (TM) land cover data with census-derived housing density data to demonstrate the operation of our framework and its utility for better understanding human-landscape interactions. In our investigation of the Kickapoo Watershed and two subwatersheds, located in southwestern Wisconsin, we identify relationships between landscape composition and the distribution and social structure of human populations. Our findings offer insight into the interplay between people and biophysical systems. (KEY TERMS: demography; housing density; land cover classification; landscape ecology; remote sensing; Geographic Information Systems; resource management; social analysis; watershed.)1Paper No.

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Economic and biological analysis to aid system planning for salmon recovery in the Columbia River Basin

Cited by 6 publications

References 6 publications

Effects of Spatial Pattern and Economic Uncertainties on Freshwater Habitat Restoration Planning: A Simulation Exercise

Effects of Spatial Pattern and Economic Uncertainties on Freshwater Habitat Restoration Planning: A Simulation Exercise

Environmental and livelihood impacts of dams: common lessons across development gradients that challenge sustainability

INTEGRATING DEMOGRAPHIC AND LANDSAT (TM) DATA AT A WATERSHED SCALE¹

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Economic and biological analysis to aid system planning for salmon recovery in the Columbia River Basin

Cited by 6 publications

References 6 publications

Effects of Spatial Pattern and Economic Uncertainties on Freshwater Habitat Restoration Planning: A Simulation Exercise

Effects of Spatial Pattern and Economic Uncertainties on Freshwater Habitat Restoration Planning: A Simulation Exercise

Environmental and livelihood impacts of dams: common lessons across development gradients that challenge sustainability

INTEGRATING DEMOGRAPHIC AND LANDSAT (TM) DATA AT A WATERSHED SCALE1

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INTEGRATING DEMOGRAPHIC AND LANDSAT (TM) DATA AT A WATERSHED SCALE¹