Ecological economic modeling and valuation of ecosystems

Bockstael, Nancy E.; Costanza, Robert; Strand, Ivar E.; Boynton, Walter R.; Bell, Kathleen P.; Wainger, Lisa A.

doi:10.1016/0921-8009(95)00026-6

Cited by 155 publications

(67 citation statements)

References 22 publications

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“…Indeed, we do include a direct cost of exploitation, part of the landscape being attributed to natural habitats and therefore not exploited, but we did not include any extra cost linked to the spatial structure of the landscape. Cost structure however depends on specific features of the ecosystem service or of the landscape considered (Bockstael et al, 1995). For instance, our results highlight that an integration of natural areas within the exploited landscape is the best solution as it facilitates the diffusion of ecosystem services.…”

Section: Discussionmentioning

confidence: 80%

The manager dilemma: Optimal management of an ecosystem service in heterogeneous exploited landscapes

Dubois

Mathieu

Loeuille

2015

Ecological Modelling

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Section: Discussionmentioning

confidence: 80%

The manager dilemma: Optimal management of an ecosystem service in heterogeneous exploited landscapes

Dubois

Mathieu

Loeuille

2015

Ecological Modelling

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“…Being a critical dynamic element of ecosystems (Bockstael andothers 1995, Pijanowski andothers 2000), changes in land use result either from physical conditions or human behavior. Such changes often lead to changes in the pattern and value of the land-use system from the systematic perspective and in hydrology, vegetation, species diversity, the economy, and the social context.…”

Section: Cpv Analysis Model On Land Usementioning

confidence: 99%

Modeling Change-Pattern-Value Dynamics on Land Use: An Integrated GIS and Artificial Neural Networks Approach

Dai

Shi

et al. 2005

Environmental Management

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/ The use of spatial methods to detect and characterize changes in land use has been attracting increasing attention from researchers. The objectives of this article were to formulate the dynamics of land use on the temporal and spatial dimensions from the perspectives of the Change-Pattern-Value (CPV) and driving mechanism, based on multitemporal remote sensing data and socioeconomic data. The Artificial Neural Networks were used to identify the factors driving changes in land use. The Pearl River Delta Region of southeast China, which was experiencing rapid economic growth and widespread land conversion, has been selected as the study region. The results show that from 1985 to 2000 in the study region (1) the most prominent characteristics of change in land use were the expansion of the urban land at the expense of farmland, forests, and grasslands, (2) the land-use pattern was being optimized during this period, (3) in an analysis of value, built-up land can yield a return of more than 30 times that of farmland, water area, and forests lands, and (4) rapid economic development, growth in population, and the development of an infrastructure were major driving factors behind ecological land loss and the nonecological land expansion.The studies of land-use change stand at the research frontier in global change (Turner 1990, Meyer and. The fundamental objectives of studying changes in land use are to investigate the social, economic, and spatial causes of changes Longley 1994, de Koning and others 1999) Land-use change models are regarded as approaches to improve not only the ability to explore change dynamics in land use and to project future regimes on land use and patterns of development others 1994, Bockstael and others 1995), but also helpful in the analyses of the factors driving land-use change and in the selection of appropriate development strategies. Realistic land-use change models need to integrate different spatial scales and their specific drivers to simulate changes in land use in response to biophysical and economic/human drivers others 1993, Veldkamp andFresco 1996). In the LUCC study, many models, such as the CENTURY model (Parton and others 1987), the AGE model (Fischer and others 1988), the Ehrlich model (Ehrlich and Ehrlich 1990), the FASOM model (Grainger 1990), the Adams model (Adams and others 1995), and the Riebsame

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“…It is important to reach an equilibrium point between the preservation of the biodiversity levels and the humanity's footprint on the ecological system from which the resources are taken. Understanding how ecosystems function and how they are affected by human activity-for example, what determines human uses and human intervention into ecosystems, and how is this affected, among other things, by the ecosystem's characteristics and regulatory paradigms (Bockstael, N. et al 1994) Without this equilibrium the loss of money is inevitable. The balance between human activities and environment must be taken at both spatial and temporal scale.…”

Section: Introductionmentioning

confidence: 99%

Towards an analysis of the ecological economics of West African forests

Dendi¹

2018

Preprint

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This paper presents a model of the Ecological Economy as instrument of management lands. The model relates the human capital with natural capital and pursuing the environmental sustainability in primary emphasis in the economic system. The protection of biodiversity must be part of a long-term development strategy. A profit becomes sustainable when its increase or its stability is not negatively affecting the natural capital over time. The identification of the equilibrium point in a set of lands permits the pinpoint of a baskets of goods and services that it maintains the biodiversity level in a target area. The basket identified is the key tool to address the management policy in the target areas. These policies will promote economic sustainable growth with more income for the families of the local communities in the park area for a selected target of lands. Thus, the decision process in the land management will be the result of a scientific identification process.

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Ecological economic modeling and valuation of ecosystems

Cited by 155 publications

References 22 publications

The manager dilemma: Optimal management of an ecosystem service in heterogeneous exploited landscapes

The manager dilemma: Optimal management of an ecosystem service in heterogeneous exploited landscapes

Modeling Change-Pattern-Value Dynamics on Land Use: An Integrated GIS and Artificial Neural Networks Approach

Towards an analysis of the ecological economics of West African forests

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