The Experts below are selected from a list of 149952 Experts worldwide ranked by ideXlab platform
Benjamin Lane - One of the best experts on this subject based on the ideXlab platform.
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Natural Resources Management for human security in cambodia s tonle sap biosphere reserve
Environmental Science & Policy, 2002Co-Authors: Neou Bonheur, Benjamin LaneAbstract:Abstract The Tonle Sap Great Lake in Cambodia is significant for its biological and societal diversity, as well as for the fundamental role it plays in the local and national economy. Conflicting Natural Resources are aggravating population pressures and governance deficits, thereby threatening the ecological and economic viability of the lake and its systems. In response to this, and as part of a broader program of governance reforms, the Cambodian government is beginning to promote integrated, systems-wide Natural Resources Management for the Tonle Sap. A key feature of this strategy is the designation of the Tonle Sap Biosphere Reserve as part of the UNESCO World Network of Biosphere Reserves.
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Natural Resources Management for human security in Cambodia’s Tonle Sap Biosphere Reserve
Environmental Science & Policy, 2002Co-Authors: Neou Bonheur, Benjamin LaneAbstract:Abstract The Tonle Sap Great Lake in Cambodia is significant for its biological and societal diversity, as well as for the fundamental role it plays in the local and national economy. Conflicting Natural Resources are aggravating population pressures and governance deficits, thereby threatening the ecological and economic viability of the lake and its systems. In response to this, and as part of a broader program of governance reforms, the Cambodian government is beginning to promote integrated, systems-wide Natural Resources Management for the Tonle Sap. A key feature of this strategy is the designation of the Tonle Sap Biosphere Reserve as part of the UNESCO World Network of Biosphere Reserves.
Neou Bonheur - One of the best experts on this subject based on the ideXlab platform.
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Natural Resources Management for human security in cambodia s tonle sap biosphere reserve
Environmental Science & Policy, 2002Co-Authors: Neou Bonheur, Benjamin LaneAbstract:Abstract The Tonle Sap Great Lake in Cambodia is significant for its biological and societal diversity, as well as for the fundamental role it plays in the local and national economy. Conflicting Natural Resources are aggravating population pressures and governance deficits, thereby threatening the ecological and economic viability of the lake and its systems. In response to this, and as part of a broader program of governance reforms, the Cambodian government is beginning to promote integrated, systems-wide Natural Resources Management for the Tonle Sap. A key feature of this strategy is the designation of the Tonle Sap Biosphere Reserve as part of the UNESCO World Network of Biosphere Reserves.
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Natural Resources Management for human security in Cambodia’s Tonle Sap Biosphere Reserve
Environmental Science & Policy, 2002Co-Authors: Neou Bonheur, Benjamin LaneAbstract:Abstract The Tonle Sap Great Lake in Cambodia is significant for its biological and societal diversity, as well as for the fundamental role it plays in the local and national economy. Conflicting Natural Resources are aggravating population pressures and governance deficits, thereby threatening the ecological and economic viability of the lake and its systems. In response to this, and as part of a broader program of governance reforms, the Cambodian government is beginning to promote integrated, systems-wide Natural Resources Management for the Tonle Sap. A key feature of this strategy is the designation of the Tonle Sap Biosphere Reserve as part of the UNESCO World Network of Biosphere Reserves.
Byron K. Williams - One of the best experts on this subject based on the ideXlab platform.
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Optimization and Resilience in Natural Resources Management
Adaptive Management of Social-Ecological Systems, 2015Co-Authors: Byron K. Williams, Fred A. JohnsonAbstract:We consider the putative tradeoff between optimization and resilience in the Management of Natural Resources, using a framework that incorporates different sources of uncertainty that are common in Natural Resources Management. We address one-time decisions, and then expand the decision context to the more complex problem of iterative decision making. For both cases we focus on two key sources of uncertainty: partial observability of system state and uncertainty as to system dynamics. Optimal Management strategies will vary considerably depending on the timeframe being considered and the amount and quality of information that is available to characterize system features and project the consequences of potential decisions. But in all cases an optimal decision making framework, if properly identified and focused, can be useful in recognizing sound decisions. We argue that under the conditions of deep uncertainty that characterize many resource systems, an optimal decision process that focuses on robustness does not automatically induce a loss of resilience.
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resolving structural uncertainty in Natural Resources Management using pomdp approaches
Ecological Modelling, 2011Co-Authors: Byron K. WilliamsAbstract:In recent years there has been a growing focus on the uncertainties of Natural Resources Management, and the importance of accounting for uncertainty in assessing Management effectiveness. This paper focuses on uncertainty in resource Management in terms of discrete-state Markov decision processes (MDP) under structural uncertainty and partial observability. It describes the treatment of structural uncertainty with approaches developed for partially observable resource systems. In particular, I show how value iteration for partially observable MDPs (POMDP) can be extended to structurally uncertain MDPs. A key difference between these process classes is that structurally uncertain MDPs require the tracking of system state as well as a probability structure for the structure uncertainty, whereas with POMDPs require only a probability structure for the observation uncertainty. The added complexity of the optimization problem under structural uncertainty is compensated by reduced dimensionality in the search for optimal strategy. A solution algorithm for structurally uncertain processes is outlined for a simple example in conservation biology. By building on the conceptual framework developed for POMDPs, Natural resource analysts and decision makers who confront structural uncertainties in Natural Resources can take advantage of the rapid growth in POMDP methods and approaches, and thereby produce better conservation strategies over a larger class of resource problems.
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Markov decision processes in Natural Resources Management: Observability and uncertainty
Ecological Modelling, 2009Co-Authors: Byron K. WilliamsAbstract:The breadth and complexity of stochastic decision processes in Natural Resources presents a challenge to analysts who need to understand and use these approaches. The objective of this paper is to describe a class of decision processes that are germane to Natural Resources conservation and Management, namely Markov decision processes, and to discuss applications and computing algorithms under different conditions of observability and uncertainty. A number of important similarities are developed in the framing and evaluation of different decision processes, which can be useful in their applications in Natural Resources Management. The challenges attendant to partial observability are highlighted, and possible approaches for dealing with it are discussed.
Sandra Valencia - One of the best experts on this subject based on the ideXlab platform.
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Integrated approaches to Natural Resources Management—Theory and practice
Land Degradation & Development, 2018Co-Authors: Anna E. Tengberg, Sandra ValenciaAbstract:To meet multiple environmental objectives, integrated programming is becoming increasingly important for the Global Environmental Facility, the financial mechanism of the Multilateral Environmental Agreements, including the UN Convention to Combat Desertification. However, integration is often not well defined. We therefore focus on identifying key aspects of integration and assessing their implementation in Natural Resources Management projects. To that end, we draw on systems thinking literature and carry out an analysis of a random sample of Global Environmental Facility integrated projects and in-depth case studies demonstrating lessons learned and good practice. We highlight the need for projects to identify clearer system boundaries and main feedback mechanisms within those boundaries, in order to effectively address drivers of environmental change. We propose a theory of change for integrated Natural Resources Management projects, where short-term environmental and socioeconomic benefits will first accrue at the local level. Implementation of improved integrated Natural Resources Management technologies and practices at the local level can then be extended through spatial planning and strengthening of innovation systems. Financing and incentive mechanisms at the watershed and/or landscape/seascape level coupled with supporting policies could sustain and enhance ecosystem services at even larger scales and longer time spans. The evolving scientific understanding of factors influencing social, technical, and institutional innovations and transitions towards sustainable Management of Natural Resources should be harnessed and integrated into influencing models and theory of change for complex social-environmental problems, such as land degradation, and be coupled with up-to-date approaches for learning, adaptive Management, and scaling up. (Less)
N. R. Gunawardene - One of the best experts on this subject based on the ideXlab platform.
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Conservation for a New Generation: Redefining Natural Resources Management
Pacific Conservation Biology, 2010Co-Authors: N. R. GunawardeneAbstract:Review(s) of: Conservation for a New Generation: Redefining Natural Resources Management, by Richard L. Knight and Courtney White (eds), 2009, Island Press, Washington DC USA. xvi, 315 pp. ISBN 9781597264389, RRP US $30.00 paperback.
