Modeling land use and cover as part of global environmental change

1994 ◽  
Vol 28 (1-2) ◽  
pp. 45-64 ◽  
Author(s):  
William E. Riebsame ◽  
William B. Meyer ◽  
B. L. Turner
2018 ◽  
Vol 13 (Special issue 1) ◽  
pp. 11-21
Author(s):  
KALYANI SUPRIYA ◽  
R K AGGARWAL ◽  
S K BHARDWAJ

Landuse alteration is one of the primary causes of global environmental change. Changes in the landuse usually occurred regionally and globally over last few decades and will carry on in the future as well. These activities are highly influenced by anthropogenic activities and have more serious consequences on the quality of water and air. In the present study relationship between land use impact on water and air quality have been reviewed.


Author(s):  
Steven Manson

Be it global environmental change or environment and development, landuse and land-cover change is central to the dynamics and consequences in question in the southern Yucatán peninsular region. Designing policies to address these impacts is hampered by the difficulty of projecting land use and land cover, not only because the dynamics are complex but also because consequences are strongly place-based. This chapter describes an integrated assessment modeling framework that builds on the research detailed in earlier chapters in order to project land-use and land-cover change in a geographically explicit way. Integrated assessment is a term that describes holistic treatments of complex problems to assess both science and policy endeavors in global environmental change (Rotmans and Dowlatabadi 1998). The most common form of integrated assessment is computer modeling that combines socioeconomic and biogeophysical factors to predict global climate. Advanced in part by the successes of these global-scale models, integrated assessment has expanded to structure knowledge and set research priorities for a large range of coupled human–environment problems. Increasing recognition is given to the need for integrated assessment models to address regionalscale problems that are masked by global-scale assessments (Walker 1994). Such models must address two issues to project successfully land-use and land-cover change at the regional scale. First, change occurs incrementally in spatially distinct patterns that have different implications for global change (Lambin 1994). Second, a model must account for the complexity of, and relationships among, socio-economic and environmental factors (B. L. Turner et al. 1995). The SYPR integrated assessment model, therefore, has a fine temporal and spatial grain and it places land-use and landcover change at the intersection of land-manager decision-making, the environment, and socio-economic institutions. What follows is a description of an ongoing integrated assessment modeling endeavor of the SYPR project (henceforth, SYPR IA model). The depth and breadth of the SYPR project poses a challenge to the integrated assessment modeling effort since some unifying framework must reconcile a broad array of issues, theories, and data. The global change research community offers a general conception of how environmental change results from infrastructure development, population pressure, market opportunities, resource institutions, and environmental or resource policies (Stern, Young, and Drukman 1992).


2016 ◽  
Vol 22 (4) ◽  
pp. 1361-1371 ◽  
Author(s):  
Michael P. Perring ◽  
Pieter De Frenne ◽  
Lander Baeten ◽  
Sybryn L. Maes ◽  
Leen Depauw ◽  
...  

2020 ◽  
Vol 4 (2) ◽  
pp. 105-120
Author(s):  
Gemechu Y Ofgeha ◽  
◽  
Muluneh W Abshire ◽  

Purpose: Global environmental change of climate variability and land use dynamics are emerging livelihood challenges facing local poor. Although, the synergetic impacts of these processes have been cognate in Ethiopia, vulnerability researches were fixed to climate variability, inadequate on conceptual and methodological considerations of non-climate stressors. To this attention, we assessed small-scale farmers’ vulnerability situations in Anger watershed of southwestern Ethiopia. Methods: The case study design guided by mixed methods approach was used. Multistage sampling technique was used for the study. The data collected from 335 household heads were analyzed by multivariate analysis, measures of differences, and substantiated by qualitative enquiry based on focus group discussions and observations. Result: Household’s vulnerability magnitude ranges from high to moderate, while in aggregate, kolla agroecology was more vulnerable than highland. The effects of social adaptability and sensitivity to land resources were significantly contributed for the vulnerability differences. Although, climate variability was notable, structural land use dynamics was unequivocal stressor deepened the household’s vulnerability in kolla. Conclusions: Vulnerability is the result of interactive and interconnected processes of climate, non-climate stressors, and households’ internal capacity in the study area. Thus, attributing local vulnerability to only climate variability, neglecting local non-climatic disturbances could mislead development planning. Hence, future studies should consider such processes simultaneously to provide comprehensive evidences on vulnerability situations. The national adaptations program needs to integrate climate change with the emerging other global changes in planning rural resilience. Policy fortifying agricultural investments should synchronize win-win strategy for relationships between investors and local community.


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