scholarly journals SHIFTING CULTIVATION PRACTICES IN BARAK VALLEY, INDIA – POLICY SCENARIOS FROM A SPATIALLY EXPLICIT LAND USE MODEL

Author(s):  
J. Misra ◽  
K. S. Rajan

Abstract. Barak valley is a region in north east part of India where the practice of shifting cultivation is quite prevalent. Population growth coupled with the geographic isolation of the area have led to an increased pressure on land and a consequent decline in forest cover. The decrease of forests observed is spatially distributed and dependent on neighborhood rules. Hence, we look towards modelling the land use change to understand the land use changes and the factors affecting them. In this paper, we modify an agent-based land use model for modelling shifting cultivation to determine how various policy changes at a larger scale might affect the shifting cultivation practice in the region at the micro level. We explore scenarios like drastic population increase and availability of irrigation infrastructure in the area. Through the scenario analysis we explore how policies play a role in agriculture patterns and influence land use patterns.

2009 ◽  
Vol 220 (18) ◽  
pp. 2302-2309 ◽  
Author(s):  
Rohan Chandralal Wickramasuriya ◽  
Arnold K. Bregt ◽  
Hedwig van Delden ◽  
Alex Hagen-Zanker

2016 ◽  
Vol 4 (3) ◽  
pp. 35
Author(s):  
Agustin Arisandi Mustika ◽  
Samsul Bakri ◽  
Dyah Wulan S. R. Wardani

The conversion of forest area into non-forest area generally can causing the ecology and micro climate change especially rainfall.   The impact of these changes in other side can increasing the probability in occurrence of vector-born disease such as Aedes aegypti mosquito couse of Dengue Hemorrhagic Fever (DHF).   Besides of environmental factors, poverty level, rainfall, and housing conditions the suspected also affect the incidence of dengue.  This research aimed to determine of changes in forest cover and land, poverty level, and housing conditions as well as the impact to the incidence of dengue fever in Lampung. Data collected included primary data of land use changes of Lampung Province and the secondary  data  such  as  the  data  of  precipitation  rapid,  poverty  level,  healthy  house proportion and Incidence Rate of dengue.  The dynamic of changes in forest cover and landper distric/city identified through by Landsat image interpretation 5, 7 and 8  in 2002, 2009 and 2014.   While the impact on DHF analyzed using multiple linear models.   The results showed that there was a significant relationship between the changes of the people forest cover   -1,2634   (p=0,001),   intensive   agricultural   0,5315   (p=0,016),   the   number   of precipitation rapid 0,06869 (p=0,087) and the poverty level -0,2213 (p=0,038) and urbanism region in the towns and villages 28,75 (p=0,010) toward the incidence of dengue in Lampung from the year 2003 to 2014.  Based on the reseacrh result that the goverment should be able to increase the percentage of forest area cause able to decrease the incidence DHF. Keyword: forest conversion, incidence DHF, land use changes


2007 ◽  
Vol 34 (4) ◽  
pp. 664-686 ◽  
Author(s):  
Moira L Zellner

Rapidly declining groundwater levels since the early 1990s have raised serious concern in Monroe County, Michigan. Hydrological studies suggest that land-use changes have caused this decline. The mechanisms linking land-use and groundwater dynamics are not clear, however. In this paper I present WULUM, the Water-Use and Land-Use Model, an agent-based model that serves as an analytical framework to understand how these processes interact to create the observed patterns of resource depletion, and to suggest policies to reverse the process. The land-use component includes the main groundwater extractors in the county—stone quarries, golf courses, farms, and households. The groundwater component includes the glacial deposits and the underlying bedrock acquifer. The behavior of water users is defined by simple rules that determine their location and consumption. The dynamics of groundwater are represented through infiltration and diffusion rules between each cell and its immediate neighbors. Initial explorations with the model showed that land-use patterns contributed significantly to groundwater declines, while eliminating quarry dewatering did not entirely solve the problem. Both low-density and high-density zoning restrictions improved aquifer conditions over medium-density development, suggesting a nonlinear relationship between intensity of residential use and groundwater levels. Moreover, of all the natural and policy variables, zoning had the greatest influence on urban settlement and therefore on resource consumption.


2017 ◽  
Vol 63 (No. 6) ◽  
pp. 245-253 ◽  
Author(s):  
Khaleghi Mohammad Reza

In recent decades, due to rapid human population increases and in its results, destructive effects of anthropogenic activities on natural resources have become a great challenge. Land use and vegetation are important factors in soil erosion and runoff generation. This study was performed to assess the effects of different amounts of forest cover on the control of runoff and soil loss in the Talar basin, which is located in Mazandaran province, using a runoffrainfall model, geographical information system (GIS) and remote sensing (RS) to determine the hydrologic effects of deforestation on the Talar watershed (north of Iran). A runoff-rainfall model has been presented using GIS (HECGeoHMS) and hydrologic model (HEC-HMS). Land use changes (deforestation) and anthropogenic activities (roads and impervious surfaces development) were evaluated using RS techniques and satellite images. We used the Soil Conservation Service and Curve Number methods for hydrograph simulation and runoff estimation, respectively. First, a model was performed and optimized. Afterward, the optimized model was evaluated by other six events of floods (model validation). According to the obtained results, the runoff generation potential has been increased in the Talar watershed due to deforestation during the last forty years. Land use changes cause an increase in runoff volume and flood peak discharge.


2011 ◽  
Vol 02 (01) ◽  
pp. 27-51 ◽  
Author(s):  
DAVID HAIM ◽  
RALPH J. ALIG ◽  
ANDREW J. PLANTINGA ◽  
BRENT SOHNGEN

An econometric land-use model is used to project regional and national land-use changes in the United States under two IPCC emissions scenarios. The key driver of land-use change in the model is county-level measures of net returns to five major land uses. The net returns are modified for the IPCC scenarios according to assumed trends in population and income and projections from integrated assessment models of agricultural prices and agricultural and forestry yields. For both scenarios, we project large increases in urban land by the middle of the century, while the largest declines are in cropland area. Significant differences among regions in the projected patterns of land-use change are evident, including an expansion of forests in the Mountain and Plains regions with declines elsewhere. Comparisons to projections with no climate change effects on prices and yields reveal relatively small differences. Thus, our findings suggest that future land-use patterns in the U.S. will be shaped largely by urbanization, with climate change having a relatively small influence.


2020 ◽  
Author(s):  
Patricia Kaye Tahura Dumandan

Understanding the mechanisms driving biodiversity patterns amidst an era of global environmental change is the core of modern ecological research. The magnitude of biodiversity losses associated with anthropogenic activities has prompted resource managers and ecologists alike to identify strategies to address conservation issues. Broadly, two types of approaches are employed to answer ecological research questions: 1) single-species and 2) ecosystem-based approach. Single-species approaches are often useful to elucidate mechanisms driving population trajectories of individual species. On the other hand, ecosystem-based approaches can help in identifying general patterns that may be useful for multi-species management. Here, I used both approaches in assessing broad-scale patterns and mechanisms driving count trends of migrating raptors recorded at Hawk Mountain Sanctuary (HMS), Pennsylvania. In the first chapter, I used a hierarchical breakpoint model to identify the assemblage-wide and species-specific timing of the shifts in count trends. Then I evaluated if changes in trend directionality of counts were linked to species’ traits (body size, population size, migratory behavior, tolerance to human presence, DDT (dichlorodiphenyltrichlorethane) susceptibility, habitat or dietary specialization). I found that an assemblage-wide shift in counts occurred around 1974, and this timing was common among 14 of the 16 species in the assemblage. Moreover, I found that habitat specialization appeared to explain the synchronous positive and negative count trends of multiple species. Other traits that I evaluated were not consistently associated with either types of trends. The temporal shift in trends in 1974 emphasized the relative importance of DDT, an organochlorine known to have adversely influenced several wildlife species and was banned in the US around the 1970s, in driving population dynamics of raptor species. However, because the counts of species susceptible to DDT were highly variable after 1974, this may suggest that a suite of additional factors, acting together, affected the recovery of species from DDT-associated declines. Additionally, the potential role of habitat specialization in count trends may suggest important linkages between habitat use and demography. In the second chapter, I used a generalized linear mixed-effects model to assess the relationships between changes in the count totals and total proportional cover of major land-use types in nine states located in the northeastern US (Connecticut, Maine, Massachusetts, New Hampshire, New Jersey, New York, Pennsylvania, Rhode Island, Vermont). The hierarchical modelling approach that I used allowed me to identify average and species-specific responses to the proportional cover of forested and urban area. These land-use variables were not associated with overall raptor counts. However, species-specific responses were variable and significant. I found that counts of Northern Goshawk, American Kestrel, Rough-legged Hawk, Sharp-shinned Hawk, and Red-tailed Hawk were positively associated with forest cover. On the other hand, Turkey and Black Vultures, Bald Eagle, and Peregrine Falcon were positively associated with urban cover. Moreover, Red-shouldered Hawk, Broad-winged Hawk, and Northern Harrier were not significantly associated with forest cover but were negatively associated with urban cover. Merlin and Cooper’s Hawk exhibited similar non-significant associations to forest but positive associations with urban cover. Finally, Golden Eagle and Osprey were not significantly associated with either land-use variables. These results provided insights on the potential influence of land-use changes on the demography of migrating raptors. Thus, these findings may be useful in improving our predictions of the population trajectories of these species in future landscape scenarios. These results illustrate the utility of evaluating species-level and assemblage-wide patterns in long-term count data. In this case, it allowed me to identify general patterns in counts of migrating raptors and gain detailed insights on the responses of individual species to land-use changes. In doing so, I was able to better understand the potential drivers of their ecological dynamics. By integrating information from these two approaches, we can expect to obtain a better understanding of natural systems and consequently, increase the probability of successful conservation outcomes.


Author(s):  
Jorje Ignacio Zalles

El turismo basado en naturaleza se reconoce como un incentivo económico indirecto para la conservación biológica. En particular, se espera que las visitas dirigidas a observación de vida silvestre en estado natural aporten al establecimiento de patrones de uso de suelo favorables para la integridad biológica de los paisajes destino. La localidad de Mindo se ha consolidado en décadas recientes como receptora de turismo basado en naturaleza. Este artículo analiza el papel que juega el turismo en decisiones de uso de suelo tendientes al incremento de cobertura forestal nativa en Mindo. Se describe el marco institucional asociado al turismo y se elabora un mapa cognitivo de las decisiones de uso de suelo por participantes en un programa de restauración forestal. La mejora del atractivo turístico mediante restauración forestal es un importante factor de agencia individual en cuanto a uso de suelo en Mindo. Existen desafíos institucionales, sin embargo, que allí limitan el potencial del turismo como fuerza motriz para el incremento en cobertura forestal, y por ende su contribución a la conservación biológica en términos de paisaje. Abstract Nature-based tourism is recognized as an indirect economic incentive for biological conservation. In particular, the expectation is that visits aimed at the observation of wildlife in its natural state will encourage the establishment of land-use patterns that are favorable to the biological integrity of destination landscapes. The locality of Mindo has in recent decades become a well-known destination for nature-based tourism. This article analyzes the role played by tourism in land-use decisions aimed at increasing native forest cover in Mindo. The institutional framework associated with tourism is described, and a cognitive map of land-use decisions by participants in a forest restoration program is presented. The improvement of touristic attractiveness through forest restoration is an important influence on individual agency regarding land use in Mindo. There are institutional challenges, however, that limit tourism´s potential as a land-use driver for increased forest cover, and therefore its contribution to biological conservation at a landscape level.


2019 ◽  
Vol 14 (1) ◽  
pp. 1-30 ◽  
Author(s):  
Mohamad Farzinmoghadam ◽  
Nariman Mostafavi ◽  
Elisabeth Hamin Infield ◽  
Simi Hoque

Predicting resource consumption in the built environment and its associated environmental consequences is one of the core challenges facing policy-makers and planners seeking to increase the sustainability of urban areas. The study of land-use change has many implications for infrastructure design, resource allocation, and urban metabolism simulation. While most urban models focus on horizontal growth patterns, few investigate the impacts of vertical characteristics of urbanscapes in predicting land-use changes. In this paper, Building-form variables are introduced as a new determinant factor for investigating effects of vertical characteristics of an urbanscape in predicting land-use change. This work outlines an automated method for generating building-form variables from Light Detection and Ranging (LIDAR) data by using Density-Based Spatial Clustering and normal equations. This paper presents a Land-Use Model that uses Remote Sensing, GIS, and Artificial Neural Networks (ANNs) to predict urban growth patterns within the IUMAT framework (Integrated Urban Metabolism Analysis Tool), which is an analytical platform for quantifying the overall sustainability in the urbanscape. The town of Amherst in Western Massachusetts (for the period of 1971–2005) is used as a case study for testing the model. By isolating the weights of each explanatory variable in models, this study highlights the influence of building geometry on future development scenarios.


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