Optimal Management of Environmental and Land Resources in a Reservoir Watershed by Multiobjective Programming

Chang, Ni‐Bin; Wen, Ching-Gung; Wu, Shunan

doi:10.1006/jema.1995.0036

Cited by 57 publications

(29 citation statements)

References 4 publications

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“…The Land Use Change Generator does not include spatial optimization algorithms (see [47][48][49] for examples), but represents a rule-based tool allowing for spatially explicit expansion rates, target land use categories, and restricted zoning. The scenarios are not intended to accurately predict future land use patterns in the Nabanhe Reserve, but rather to assess and evaluate possible consequences of land use planning and land use management decisions as a basis for discussion with the stakeholders.…”

Section: Scenario Developmentmentioning

confidence: 99%

Assessing Ecosystem Services in Rubber Dominated Landscapes in South-East Asia—A Challenge for Biophysical Modeling and Transdisciplinary Valuation

Thellmann

Blagodatsky

Häuser³

et al. 2017

Forests

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Abstract:The concept of ecosystem services (ESS) has been increasingly recognized for its potential in decision making processes concerning environmental policy. Multidisciplinary projects on rubber (Hevea brasiliensis) cultivation, integrating research on a variety of ESS, have been few and far between. More than three years of iterative workshops with regional stakeholders resulted in the development of future land use scenarios for our study area in Xishuangbanna, PR China. We used the InVEST (Integrated Valuation of Ecosystem Services and Trade-offs) modeling framework to analyze their impact on sediment retention, water yield, habitat quality, and carbon sequestration and developed a model for assessing rubber yields. We investigated the percentage deviations of integrated ESS indices in each scenario, as compared to the initial state of 2015 and as a novelty used different statistical weighting methods to include rankings for the preference of ESS from three contrasting stakeholder groups. The business-as-usual scenario (BAU, continuous rubber expansions) revealed an increase in rubber yields trading off against all other ESS analyzed. Compared to BAU, the measures introduced in the balanced-trade-offs scenario (reforestation, reduced herbicide application, riverine buffer zones, etc.) reduced the total amount of rubber yield but enhanced habitat quality and regulating ESS. The results show that the integrated indices for the provisioning of ESS would be overestimated without the inclusion of the stakeholder groups. We conclude that policy regulations, if properly assessed with spatial models and integrated stakeholder feedback, have the potential to buffer the typical trade-off between agricultural intensification and environmental protection.

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Section: Scenario Developmentmentioning

confidence: 99%

Assessing Ecosystem Services in Rubber Dominated Landscapes in South-East Asia—A Challenge for Biophysical Modeling and Transdisciplinary Valuation

Thellmann

Blagodatsky

Häuser³

et al. 2017

Forests

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“…In particular, deviations for both methods is confined to similar levels, although this behavior is expected to change when more emphasis is allocated to solution balance in BCP. This expectation is not completely in line with, e.g., [27], who obtained virtually the same results with λ = 1 and with λ = 0 when applying CP to an environmental resources management problem, neglecting in practice the influence of the λ parameter on their model output. On the other hand, [28] found that both instances of CP (with λ = 0 and λ = 1) produced results differing within a limited range, which is much more comparable with the findings we made in our study.…”

Section: Discussionmentioning

confidence: 66%

“…On the other hand, [28] found that both instances of CP (with λ = 0 and λ = 1) produced results differing within a limited range, which is much more comparable with the findings we made in our study. Note that, unlike BCP, the CP formulations of [27,28] do not allow values of λ different from zero and one. Clearly, discrepancies between applications of CP can be explained to a large extent by differences in the parameter settings, e.g., the relative importance assigned to criteria, and to the underlying database, in addition to the value set for the parameter λ.…”

Section: Discussionmentioning

confidence: 99%

Comparison of Three Ideal Point-Based Multi-Criteria Decision Methods for Afforestation Planning

Estrella

Cattrysse

Orshoven

2014

Forests

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Three ideal point-based multi-criteria decision methods (MCDM), i.e., iterative ideal point thresholding (IIPT), compromise programming (CP) and a newly-proposed CP variant, called balanced compromise programming (BCP), were applied to the Tabacay catchment in Ecuador with the aim of finding a distribution of land use types (LUT) that optimizes regional land performance. This performance was expressed in terms of several conflicting on-site ecosystem services (ESS), namely water conservation, soil protection, carbon storage and monetary income. IIPT selects the best performing LUT on a per-land unit basis, that is the assignment of a LUT to a land unit is completely independent with respect to other land units. CP and BCP, on the other hand, aim at optimizing the integrated regional performance. These methods produce a LUT distribution that is as close as possible to the absolute optimal performance that would be achieved when conflict among ESS is not considered. In general, similar results were obtained with CP and BCP. This was not the case when the results produced by these two methods were contrasted with IIPT. For most ESS under consideration, CP and BCP produced balanced results that were closer to the absolute optimal values when compared to IIPT. We conclude from our results that, when optimization of land performance at a regional scale is at stake, CP-derived models emerge as the preferable option over IIPT, especially when balanced solutions are a requirement.

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“…For instance, Sadeghi et al (2009) allocate land to five agricultural land uses while minimizing erosion and maximizing economic benefits. Chang et al (1995) allocate land to forest conservation, agriculture, recreation, and residential development, while minimizing the discharges of five distinct pollutants and maximizing employment and income. Gabriel et al (2006) develop a mixed-integer quadratic program to select parcels for development while (1) maximizing the compactness of the development area, (2) minimizing its imperviousness, (3) minimizing the development of environmentally-sensitive parcels, and (4) maximizing the total value of the development parcels.…”

Section: Model Extensionsmentioning

confidence: 99%

Global spatial optimization with hydrological systems simulation: application to land-use allocation and peak runoff minimization

Yeo

Guldmann

2010

Hydrol. Earth Syst. Sci.

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Abstract.A general methodology is presented to integrate complex simulation models of hydrological systems into optimization models, as an alternative to scenario-based approaches. A gradient-based hill climbing algorithm is proposed to reach locally optimal solutions from distinct starting points. The gradient of the objective function is estimated numerically with the simulation model. A statistical procedure based on the Weibull distribution is used to build a confidence interval for the global optimum. The methodology is illustrated by an application to a small watershed in Ohio, where the decision variables are related to land-use allocations and the objective is to minimize peak runoff. The results suggest that this specific runoff function is convex in terms of the land-use variables, and that the global optimum has been reached. Modeling extensions and areas for further research are discussed.

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Optimal Management of Environmental and Land Resources in a Reservoir Watershed by Multiobjective Programming

Cited by 57 publications

References 4 publications

Assessing Ecosystem Services in Rubber Dominated Landscapes in South-East Asia—A Challenge for Biophysical Modeling and Transdisciplinary Valuation

Assessing Ecosystem Services in Rubber Dominated Landscapes in South-East Asia—A Challenge for Biophysical Modeling and Transdisciplinary Valuation

Comparison of Three Ideal Point-Based Multi-Criteria Decision Methods for Afforestation Planning

Global spatial optimization with hydrological systems simulation: application to land-use allocation and peak runoff minimization

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