Agrarian transition and lowland–upland interactions in mountain areas in northern Vietnam: application of a multi-agent simulation model

Castella, Jean-Christophe; Boissau, Stanislas; Trung, Tran Ngoc; Quang, Dang Dinh

doi:10.1016/j.agsy.2004.11.001

Cited by 73 publications

(34 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Different tools have been developed over the years to underpin the modeling of urban growth and land use changes. Some popular packages include Geomod [40], SLEUTH [41], Land Use Scanner [42], Environment Explorer [43], SAMBA [44], Land Transformation Model [45], and CLUE [46]. These tools, again, utilize a number of methods in order to model land cover change such as Markov Chain [47], Cellular Automata [48], Logistic Regression [49], and Artificial Neural Network (ANN) [50].…”

Section: Simulation Studies On Land Cover Changesmentioning

confidence: 99%

Simulating Land Cover Changes and Their Impacts on Land Surface Temperature in Dhaka, Bangladesh

et al. 2013

View full text Add to dashboard Cite

Despite research that has been conducted elsewhere, little is known, to-date, about land cover dynamics and their impacts on land surface temperature (LST) in fast growing mega cities of developing countries. Landsat satellite images of 1989, 1999, and 2009 of Dhaka Metropolitan (DMP) area were used for analysis. This study first identified patterns of land cover changes between the periods and investigated their impacts on LST; second, applied artificial neural network to simulate land cover changes for 2019 and 2029; and finally, estimated their impacts on LST in respective periods. Simulation results show that if the current trend continues, 56% and 87% of the DMP area will likely to experience temperatures in the range of greater than or equal to 30 °C in 2019 and 2029, respectively. The findings possess a major challenge for urban planners working in similar contexts. However, the technique presented in this paper would help them to quantify the impacts of

show abstract

Section: Simulation Studies On Land Cover Changesmentioning

confidence: 99%

Simulating Land Cover Changes and Their Impacts on Land Surface Temperature in Dhaka, Bangladesh

et al. 2013

View full text Add to dashboard Cite

show abstract

“…This trade-off between robust-ness and computational costs is actually minimised in RegMAS compared to other simulation toolkits. Castella et al (2005), for instance, use the Cormas Toolkit (Bousquet et al, 1998) to perform simulations on a relatively small (50x50) grid, 20 thus implying much lower computational burden but lower robustness, as well. Nonetheless, even in RegMAS the optimal compromise between these two aspects, and, therefore, the optimal regional size for application, is still to be found and deserves further attention in future research.…”

mentioning

confidence: 99%

The Regional Multi-Agent Simulator (RegMAS): An open-source spatially explicit model to assess the impact of agricultural policies

Lobianco

Esposti

2010

Computers and Electronics in Agriculture

View full text Add to dashboard Cite

Note: This is a preliminary version of a paper published as "The Regional is an open-source spatially explicit multi-agent model framework specifically designed for long-term simulations of the effects of policies on agricultural systems. Using iterated conventional optimisation problems as agents' behavioural rules, it allows for a bidirectional integration between geophysical and social models where spatially-distributed characteristics are taken into account in the programming problem of the optimising agents. With RegMAS it is possible to simulate the local specific response to a given policy (or scenario), where policies, together with macro and regional characteristics, are read into the program in specially formatted spreadsheets and standard GIS files. The paper presents the model logic and structure and describes its functioning by applying it to a case-study, where RegMAS results are compared with conventional agent-based modelling to demonstrate the advantages of spatial explicitness. The simulation refers to the impact of the recent "Health Check" of the CAP on farm structures, income and land use in a hilly area of a central Italian region (Marche).

show abstract

“…This research provides new insight into forest transition and the key role of local institutions in shaping it, calling for greater attention to local factors in land use changes as suggested by Castella et al [29], Clement and Amezaga [30] and Sikor [32]. The local actors often perceive environment and react to policy differently, producing nonlinear dynamics in forest cover changes [46].…”

Section: Discussion: Contextualized Understandings Of Forest Transitionmentioning

confidence: 99%

“…By reexamining China's contribution to forest transition through improvement of its legal framework and state afforestation policy, this article also contributes to the growing number of studies focusing on local processes in land use change in the highlands of mainland Southeast Asia [29][30][31][32]. Focusing on two villages in upland Yunnan in Southwest China, our study examines their local paths of forest transition in the context of institutional change and local livelihood dynamics.…”

Section: Introductionmentioning

confidence: 99%

Local Dynamics Driving Forest Transition: Insights from Upland Villages in Southwest China

Lang

Xu³

2014

Forests

View full text Add to dashboard Cite

China has experienced extensive forest transition, from net deforestation to net forestation. Existing theories have highlighted economic growth, the intensification of agriculture and forest scarcity as the pathways of this transition, and studies, in particular from China, have also highlighted the contribution of a huge state afforestation program and the improved implementation and enforcement of forest protection policy and law. However, few studies have paid attention to local dynamics to provide a contextualized understanding of how forest transition has taken place at the local level and the significance of local factors in this change. This paper examines forest transition pathways in two villages in China. We consider the historical perspective and compare their local dynamics and variations to reach an understanding of the process of forest recovery at the local level. The results show that state forestry policies, including afforestation policy and tenure reform, arguably contribute to forest increase, while local processes including livelihood change and institutional factors play a key role in driving and shaping forest transition. We argue that there is a need for local-level studies and recommend including local institutions in forest transition analysis, contextualizing the socio-ecological interactions within the broader concept of political economy. OPEN ACCESSForests 2014, 5 215

show abstract

Agrarian transition and lowland–upland interactions in mountain areas in northern Vietnam: application of a multi-agent simulation model

Cited by 73 publications

References 11 publications

Simulating Land Cover Changes and Their Impacts on Land Surface Temperature in Dhaka, Bangladesh

Simulating Land Cover Changes and Their Impacts on Land Surface Temperature in Dhaka, Bangladesh

The Regional Multi-Agent Simulator (RegMAS): An open-source spatially explicit model to assess the impact of agricultural policies

Local Dynamics Driving Forest Transition: Insights from Upland Villages in Southwest China

Contact Info

Product

Resources

About