Maximizing conservation and in-kind cost share: Applying Goal Programming to forest protection

Fooks, Jacob R.; Messer, Kent D.

doi:10.1016/j.jfe.2012.04.001

Cited by 9 publications

(6 citation statements)

References 25 publications

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“…Like Asadpoor et al (2005), we arrived at the conclusion that the FGP model allocates the resources in a better way by creating flexibility in the goals. Like Han et al (2011), Fooks andMesser (2012) and Amini (2013), concluded that GP or FGP is flexible enough for the DMs to consider ecological, political, socio-economic and environmental factors. Like Shaygan et al (2014), the results obtained from our research indicated that economic return after optimization increased, while soil erosion and sedimentation decreased.…”

Section: Resultsmentioning

confidence: 99%

Land Use Optimization Using the Fuzzy Mathematical-Spatial Approach: A Case Study of Chelgerd Watershed, Iran

Heydari

Honarbakhsh

Pajoohesh

2018

Journal of Environmental Engineering and Landscape Management

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In recent years, inappropriate land use, urban and industrial development along with different pollutions emanating from it gives rise to loss of natural resources and further leads to destructive floods, soil erosion, sedimentation and other various environmental, economic and social damages. Thus, management and planning are essential for the proper utilization, protection and revival of these resources. This study aimed to develop a mathematical-spatial optimum utilization model using FGP – MOLA in watershed including environmental and economic objectives while considering social issues. The results showed that the proposed model can lead to economic growth to 37% and decreasing the environmental damages to 2.4%. Under optimized condition, the area allocated to dry farming lands will decrease about 12% and gardens will increase about 423% and the other land uses remain unchanged too. In addition to, the results demonstrated the usefulness and efficiency of the proposed fuzzy model due to its flexibility and capability to simultaneously provide both optimum values and location of production resources.

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Section: Resultsmentioning

confidence: 99%

Land Use Optimization Using the Fuzzy Mathematical-Spatial Approach: A Case Study of Chelgerd Watershed, Iran

Heydari

Honarbakhsh

Pajoohesh

2018

Journal of Environmental Engineering and Landscape Management

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“…In developing a GP model, the inclusion of a DM allows for the assignment of satisficing values for each goal. However, as no DMs were directly involved, these values were developed following Fooks and Messer (2012) through maximisation of net farm income in equation 4, subject to equations 5-12, and through maximisation of net farm carbon sequestration in equation 5, subject to equations 4 and 6-12.…”

Section: Generating Satisficing Valuesmentioning

confidence: 99%

“…The goal programming model was defined (following calibration and generation of satisficing value), where the objective function (equation 13) minimises the under achievement (deviations) of the satisficing values of each goal. The undesired deviation factor, in this case ( − ) is divided by the satisficing values, resulting in negative deviation percentages and therefore representing comparable values for each goal (Fooks and Messer, 2012;Aldea et al, 2014). Each goal, * (farm income), and * (farm sequestration) were maximised subject to these deviation factors (equations 14 and 15), and previous restrictions (equations 6-12).…”

Section: Multi-objective Goal Programmingmentioning

confidence: 99%

Drivers, impacts, and policy options to address land use changes at multiple scales : implications of food production, rural livelihoods, and ecosystem conservation

Manners¹

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I would further like to highlight the importance of the two European Commission funded projects within which I have been fortunate to participate. The projects ROBIN and PROTEIN2FOOD provided not only funding (2014-2016), but also much inspiration and support for this thesis. Exposure to international research groups, working on cutting edge methodologies and research fields offered fertile mediums within which to develop this investigation. From the ROBIN project, I would like to thank Dr Terry Parr (Centre for Ecology and Hydrology, UK) for his support, Dr Marisol Toledo (Instituto Boliviano de Investigación iii Forestal, Bolivia) for her assistance in the development of the fieldwork used in this research, and to all researchers of the project who contributed. I must also thank the people of the Provincia de Guarayos (Bolivia), some of the most hospitable and welcoming people I have met. Further contributions of stakeholders to this work have been important and I must recognise the participation of local stakeholders in workshops performed in Santa Cruz (Bolivia), Jalisco (Mexico), and Pará (Brazil). From the PROTEIN2FOOD project, I want to thank Dr Sven-Erik Jacobsen (University of Copenhagen, Denmark) for his inputs and suggestions concerning the impacts of climate change on protein-rich crops across Europe, Andreas Detzel (IFEU, Germany) for his feedback and ideas on the trend analysis, to all researchers who provided comments and recommendations, and to the stakeholders of the two workshops performed within the project in Caserta (Italy) and Freising (Germany). During the development of this research I was extremely fortunate to participate in a summer school for doctoral students hosted by IRI-THESys (Integrative Research Institute on Transformations of Human-Environment Systems), Humboldt University (Berlin). The focus on human-environment systems and participatory methods for co-production and co-producing helped me to envisage and develop a more holistic perspective for academic research, readily applied in this doctoral investigation. In particular, I must thank Professors Tobias Krüger and Jörg Niewöhner for their insightful and thought provoking approach. I want to thank the members of my pre-doctoral thesis defence committee Professors Ana Tarquis Alfonso, Carlos Gregorio Hernández Díaz-Ambrona, and Irene Blanco. Their invaluable comments improved this document, its focus, and approach greatly. I must further voice my thanks to the institutional support provided by Universidad Politécnica de Madrid, specifically the School of Agricultural, Food, and Biosystems Engineering, particularly the Department of Agricultural Economics, Statistics, and Business Management and the Research Centre for the Management of Agricultural and Environmental Risks (CEIGRAM). These centres have nurtured me over the past 4 years and have offered me an inspiring research environment within which to develop this work. In particular, I must thank the heads of both entities during this time, Professors Isabel Bardaji Azcárat...

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“…GP can analyze the diverse interests of agencies, partners/donors, the community, and the environment simultaneously (Nijkamp 1977). For example, Fooks and Messer (2012) applied GP to the Forest Legacy Program of the U.S. Forest Service to incorporate both conservation benefits and partner in-kind cost-sharing contributions. They found that seeking to maximize a weighted function that contained both objectives required only a 9% reduction in the maximum possible benefit to achieve a 127% increase in the amount of in-kind cost-sharing the program would receive from partner organizations.…”

Section: Literature Reviewmentioning

confidence: 99%

Military Readiness and Environmental Protection through Cost-effective Land Conservation

Messer¹,

Kecinski²,

Zhou³

et al. 2016

Land Economics

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Harboring a high density of threatened and endangered species on its bases leaves the U.S. Department of Defense (DoD) with a critical responsibility-establishing sound environmental policies while also continuing training and ensuring military readiness. This dual objective is the goal of the Readiness and Environmental Protection Integration program, a large conservation fund for military installations that is mandated to be cost-effective. Analyzing a unique DoD data set, we show that use of optimization models generate a 21% increase in military readiness and environmental protection or achieve the same benefits as benefit targeting at a cost saving of 37%.

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Maximizing conservation and in-kind cost share: Applying Goal Programming to forest protection

Cited by 9 publications

References 25 publications

Land Use Optimization Using the Fuzzy Mathematical-Spatial Approach: A Case Study of Chelgerd Watershed, Iran

Land Use Optimization Using the Fuzzy Mathematical-Spatial Approach: A Case Study of Chelgerd Watershed, Iran

Drivers, impacts, and policy options to address land use changes at multiple scales : implications of food production, rural livelihoods, and ecosystem conservation

Military Readiness and Environmental Protection through Cost-effective Land Conservation

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