Land use modelling at the regional scale: an input to rural sustainability indicators for Central America

Farrow, Andrew; Winograd, Manuel

doi:10.1016/s0167-8809(01)00192-x

Cited by 58 publications

(24 citation statements)

References 11 publications

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“…Recently, CLUE has been applied to Central America (see Farrow and Winograd, 2001;Kok and Veldkamp, 2001). CLUE-CA incorporates the six most important land use types in terms of area and economic revenue: annual crops (mainly maize (Zea mays), beans (Phaseolus spp.…”

Section: The Clue Modelling Frameworkmentioning

confidence: 99%

A method and application of multi-scale validation in spatial land use models

Kok

Farrow

Veldkamp

et al. 2001

Agriculture, Ecosystems & Environment

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108

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The majority of the large number of existing land use models lack a proper validation, often because of data problems. Moreover, despite recognition of the necessity to incorporate a multi-scale analysis, scale dependencies are normally not considered during validation. In this paper, a multi-scale land use change modelling framework, conversion of land use and its effects (CLUE), is calibrated for Costa Rica and validated at five spatial resolutions for Honduras and Costa Rica. Both countries experienced locally very strong actual land use changes. Calibration runs show that the model is very sensitive to changes in the autonomous development parameter, which defines the influence of the finest resolution. Validation results are very satisfactory for both countries. Especially, changes in major land use types are reproduced with the model. Changes in localised land use types are more difficult to project. The magnitude of gains and magnitude of losses are slightly underestimated in all cases. The multi-scale validation demonstrates that results improve strongly, and exponentially, with decreasing spatial resolution. Strong reduction of the number of observations results in a correlation between actual and modelled changes that approximates the perfect value of 1. The study demonstrates that the CLUE modelling framework can reproduce changes as they took place in Central America in the 1970s and 1980s, and shows how conclusions can differ depending on the scale at which validation is performed.

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Section: The Clue Modelling Frameworkmentioning

confidence: 99%

A method and application of multi-scale validation in spatial land use models

Kok

Farrow

Veldkamp

et al. 2001

Agriculture, Ecosystems & Environment

Self Cite

108

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“…7. Indicators: In monitoring the state of rural landscape, every variable cannot be measured, therefore, well-chosen indicators help summarize the complex information (Farrow and Winograd 2001).…”

Section: Stemming From Additional Methodological Perspectivesmentioning

confidence: 99%

“…Yet, in a rural ecosystem study, it is impossible to measure every condition of the system. Therefore, a few selected and well chosen indicators -would be sufficient to summarize the complex information (Farrow and Winograd 2001). For example the expansion of cash crops on large agricultural areas, the domestication of wild medicinal and aromatic plants, and introduction of horticulture are innovations adopted by farmers that have spread over time (Nautiyal et al 2001a,b).…”

Section: Goal Function (T 2 Cmentioning

confidence: 99%

Conceptual model development for landscape management in the mountains of the Indian Himalayan region: an approach for sustainable socio-ecological development

Nautiyal¹,

Rado²,

Kaechele³

et al. 2010

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T his study aims at presenting a conceptual model for landscape management in the Himalayan region of India, using quantitative/mathematical approach. Keeping in view the requirement, (based on fifteen years empirical field work in the Himalayan region and as well as literature survey) the MODAM (Multiple Objectives Decision Support Tools for Landscape Management) model along with linear programming approach was adopted with a view to presenting additional methodological perspectives on interdisciplinary landscape research. The work has stemmed out from the original research contribution, which tries to integrate interdisciplinary research planning with landscape management related research in the Himalayan region. This biodiversity hotspot has relatively high complexity in terms of sustainable socioeconomic development vis a vis conservation and management of the resources. The concepts and insights presented in this article will provide the basis for a discussion, on decisionmaking issues among multidisciplinary experts with regard to sustainable socioecological development within complex environments.

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“…There have been a number of studies available that are related to landscape modeling in many parts of the world (Farrow and Winograd 2001;Bettinger and Boston 2001;Kaechele and Dabbert 2002;GomezSal et al 2003;Zander 2003;Moody 2005;Rapide et al 2006;Gonzalez-Perez and Henderson-Sellers 2007;Janssen and van Ittersum 2007;Prato 2007 and many others). A relevant literature survey and long-term field research in the Himalayan region helped us to simulate the behavior and activities of the agent (farmer) on different branches of the ecosystem/landscape.…”

Section: Development Of the Theoretical Modelmentioning

confidence: 99%

Natural resource management in a protected area of the Indian Himalayas: a modeling approach for anthropogenic interactions on ecosystem

Nautiyal¹,

Kaechele²

2008

Environ Monit Assess

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The concept of ecosystem conservation as a broad theme came into existence during the 1970s under the Man and Biosphere Programme (MAB) of the United Nations Educational, Scientific and Cultural Organization (UNESCO). The Indian Government followed this approach and chose the method to segregate the landscape for conservation of the ecosystem as well as for the development of the local economy and its people. We have examined the effect of this policy and concurrently developed a theoretical modeling approach to understand how human behavior is changing under shifting political, socioeconomic and environmental conditions. A specific focus has been on how the landscape is changing in the mountains of the Indian Himalayan region where about 10% of the total geographical area is converted into protected landscape for conservation of biodiversity. For local people living in the Himalayan mountains in India, agriculture is the main land use activity and is strongly linked to the forests in providing sustainability. There are several branches in the rural ecosystems where the local people's economy was centered. These include agriculture, animal husbandry, medicinal and aromatic plants cultivation, forest resource collection, tourism and other occupations. The greatest proportion of the population was engaged in the agriculture sector, whose contribution is high in the rural economy (61%); followed by animal husbandry (19%), forest resource collection for economic gain (18%), and medicinal and aromatic plants cultivation (1.5%). However, three decades ago the animal husbandry branch of the rural ecosystem was contributing the maximum share towards rural household income (40%) followed by tourism (35.2%), and lastly agriculture (14%). The desire of farmers to secure the optimum output from agricultural land use has resulted in an increase for resource collection from the forests. The people's perception (n = 1,648) regarding overall changes occurring in the region was varied and most showed that the current trend within rural ecosystems has emerged because of the implementation of conservation policies/creation of national park and biosphere reserve (80%), followed by limitation (22%), climate (20%), population growth (7%), national economy (10%) and least by socioeconomic change (5%). The theoretical agent model developed here draws attention to agent/farmer behavior and land resource use for his livelihood in the temporal dimension. The current study would be helpful to introduce new approaches for the development of the methodological and theoretical aspects associated with the complex human and ecosystem interactions in the Himalayan mountains for sustainable landscape development.

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Land use modelling at the regional scale: an input to rural sustainability indicators for Central America

Cited by 58 publications

References 11 publications

A method and application of multi-scale validation in spatial land use models

A method and application of multi-scale validation in spatial land use models

Conceptual model development for landscape management in the mountains of the Indian Himalayan region: an approach for sustainable socio-ecological development

Natural resource management in a protected area of the Indian Himalayas: a modeling approach for anthropogenic interactions on ecosystem

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