Rural Settlement Land Research Articles

Analysis and Optimization Strategy of Spatial Evolution of Rural Settlement Land in Shandong Province

Analysis and Optimization Strategy of Spatial Evolution of Rural Settlement Land in Shandong Province

Dynamics and Drivers of Land Use and Land Cover Change in the Upper Awash Basin, Central Rift Valley of Ethiopia.

This study analyzed the patterns and drivers of LULC dynamics in relation to the expansion of large-scale irrigated agriculture in the Central Rift Valley of Ethiopia from 1972 to 2016. Aerial photographs (1972), Landsat images (1980, 2000) and SPOT5 satellite images (2016) were analyzed using GIS tools to reveal LULC changes, and documentation, key informant interviews and focus group discussions were used to ascertain the biophysical and socioeconomic implications and drivers of these dynamics. The study revealed that cultivated and rural settlement land, and urban built-up areas had expanded at the expense of forestland, woodland, shrubland and grassland. While an increase in the production of cash crops had brought some benefits to smallholder farmers, such as access to irrigation and modern agricultural inputs and technologies, the unregulated conversion of natural vegetation to cultivated land resulted in a loss of biodiversity, deforestation, and reduction of pasture and firewood. We identified that significant LULC changes in the study area were caused by intersecting biophysical, economic, institutional, technological and demographic factors, which reinforced each other with varying magnitudes at different moments in time. These changes were underpinned by one key driver, that is, government agricultural policies that promoted investment in commercial agriculture for national and export markets. The study shows that understanding the complex interaction between the contributing factors and drivers of LULC change is crucial to inform decision-making and policies, in particular, by directing responses towards the underlying drivers of change rather than only the proximate causes.

Research on the Slope Gradient Effect and Driving Factors of Construction Land in Urban Agglomerations in the Upper Yellow River: A Case Study of the Lanzhou–Xining Urban Agglomerations

Analyses of the scale and structural characteristics of construction land serve as the basis for optimizing the spatial pattern of territorial planning. Existing studies have focused mainly on the horizontal expansion of urban construction land. Therefore, based on the Google Earth Engine (GEE) platform, in this paper, we use high-precision land-use cover data, DEM data and socioeconomic data to construct the standard dominant comparative advantage index (NRCA) using the geological mapping analysis method and we systematically analyze the horizontal scale, slope spectrum characteristics, gradient effects and driving factors of construction land in the Lanzhou–Xining urban agglomeration (LXUA) from 1990 to 2020 at four scales: the urban agglomeration, provincial area, typical city and county (district) scales. The results of the study show that urban construction land, rural settlement land and other construction land in the LXUA show “linear”, inverted-“U” and “J” growth patterns, respectively. Three types of construction land show different spatial transfer characteristics. The scale and extent of climbing of urban construction land in the LXUA is gradually decreasing over time, and the number of climbing rural settlement lands in 2000–2010 was as high as 34 counties (districts), while the number of counties (districts) with strong climbing degrees of other construction land rose to 12 from 2010 to 2020. The relative hotspots of the slope-climbing phenomenon of the three types of construction land have gradually expanded spatially, with Lanzhou city and Xining city as the center, and the overall spatial characteristics are “more in the east and less in the west”. The population and GDP are the main factors influencing the slope-climbing phenomenon of urban construction land, while rural settlements are influenced mainly by natural conditions, and accessibility is the key factor affecting other construction land.

Cultivated land loss and construction land expansion in China: Evidence from national land surveys in 1996, 2009 and 2019

Knowledge of cultivated land conservation and construction land expansion in China and its provincial scale is still insufficient due to the lack of accurate and reliable data. Based on the dataset of three nationwide land surveys in China, this study used the statistical analysis and two-way fixed effect model to explore the spatio-temporal patterns and driving forces of cultivated land and construction land change in China at the provincial and regional levels during the period 1996–2019. Results show that over the past 20 years, China's cultivated land increased first and then decreased. Distinct regional land use change characteristics were also detected, showing a continual increase in Northeast China, Inner Mongolia and Xinjiang, and a continuous decrease in eastern coastal and southwestern provinces. The center of gravity of China's cultivated land area had a trend of moving northward as a whole. Between 1996 and 2019, the area of high-quality cultivated land with slope of 2° and below in eastern China decreased by 23.33 %, while that in the three northeastern provinces and the 13 major grain producing provinces increased by 41.66 % and 11.1 %, respectively. Construction land across the country and all provinces continued to expand, and township land was expanding faster than city and village construction land. In rapidly urbanizing China, rural settlement land did not shrink but expanded rapidly, especially in the provinces of Hebei, Shandong, Henan and Sichuan where the rural population continued to decrease substantially. The mismatch between urban expansion and population growth scale was prominent. The problem of extensive and inefficient use of rural construction land is still widespread and has become more serious. Road construction has also contributed to the expansion of construction land in China. About 80 % of cultivated land loss in China was occupied by construction purposes, while the increase of construction land was driven by the expansion of built-up areas and population growth. China's land policy to control the expansion of construction land and the loss of cultivated land appears to be a double failure. The adjustment of land use planning and land policy needs to fully consider the characteristics of regional land use change, socioeconomic level and land use demand.

Spatio-temporal variation on land use and land cover and its drivers under watershed management activities in Becho, Central Highlands of Ethiopia

Abstract The study sought to understand the spatio-temporal variation of land use and land cover (LULC) and its drivers under watershed management activities in Becho district, in Ethiopia’s Central Highlands. To gain a better comprehension of the subject, two micro watersheds were chosen to test the effectiveness of watershed management activities (treated-Shankur Tareqo and untreated-Mende Tufessa). LULC changes were detected using aerial photography (1973), and satellite images from Landsat 5 TM (1990), Spot 5 (2005), and Landsat 8 OLI (2021) obtained from the Ethiopian Geospatial Information Institute and the United States Geological Survey. In addition, key informant interviews (KII) and focus group discussions (FGD) were used to elicit LULC drivers. Between 1973 and 2021, the total area of woodland, and cultivated and rural settlement land LULC classes in the treated micro-watershed decreased by 24.65% (171.9 ha) and 7.34% (759 ha), respectively. Though, grassland, forestland, and barrenland increased by 30.83% (179.52 ha), 1% (3 ha), and 183.14% (755.28 ha), respectively. The overall area of LULC class for woodland, grassland, forestland, and cultivated and rural settlement decreased by 50.36% (316.16 ha), 41.23% (196.46 ha), 2.43% (11.85 ha), and 1.35% (138.6 ha), respectively, in the untreated micro-watershed, while barrenland increased by 175.86% (666.55 ha). According to KII and FGD, the drivers of LULC changes were identified as the expansion of cultivated land, population pressure, and government policy. According to the findings, local-scale watershed management activities was not as effective as expected. As a result, in order to achieve the desired outcome, the concerned stakeholders should reconsider how watershed management activities is undertaken.

Multi‐scenario simulation of land use change based on MCR‐SD‐FLUS model: A case study of Nanchang, China

AbstractModeling land use/cover change (LUCC) is a helpful approach to simulate land use changes, analyze land use driving mechanisms, and support territorial spatial planning. However, there is no single model that comprehensively represents spatiotemporal changes, impact mechanisms, and ecological conservation of land use. This article focuses on Nanchang City and how the minimum cumulative resistance (MCR) model, the system dynamics (SD) model, and the future land use simulation (FLUS) model can be combined and applied to simulate the trends of land utilization change in different future scenarios. This allows us to explore the environmental protection policies and constraints, as well as to assess the socioeconomic regulation mechanisms and dynamic spatial patterns of land use. The results proved that the integrated model is competent in monitoring and projecting the dynamics of LUCC. The areas suitable for ecological protection are mainly located in the southeast, northeast and Meiling Scenic Area of Nanchang. By 2030, the scale of cultivated land will decrease, while the scale of forestland, grassland, water area, and total construction land will increase. Spatially, some cultivated land will be occupied due to the expansion of urban land, while the rural settlement land will be converted into other construction land. The interconversion of ecological lands also encroaches on part of the cultivated land. This scenario simulation based on the coupled MCR‐SD‐FLUS model provides decision‐making options for land resource planning and ecological environment assessment not only in the study region but also in other similar cities.

Detecting Differences in the Impact of Construction Land Types on Carbon Emissions: A Case Study of Southwest China

The area with the highest concentration of carbon emission activities is construction land. However, few studies have been conducted that investigated the different effects of various types of construction land on carbon emissions and the extent of their impact. To address this shortcoming, this study constructed a multi-indicator evaluation system with 393 counties in Southwest China and integrated ordinary least squares and spatial regression models to deeply analyze the different impacts of construction land types on carbon emissions. The results revealed that (1) in Southwest China, carbon emissions were generally distributed in clusters, with significant spatial variability and dependence; (2) the distribution of urban land scale, rural settlement land scale, and other construction land scale all showed obvious spatial clustering differences; (3) all three types of construction land’s effect on carbon emissions was positive, and the direction of impact was in line with theoretical expectations; and (4) the other construction land scale had the highest effect on carbon emissions, followed by rural settlement land scale, while the urban land scale was slightly lower. The findings help to further explain the different impacts of construction land types on carbon emissions and provide theoretical references for the government to formulate more refined emissions reduction policies.

Landscape Evolution and Simulation of Rural Settlements around Wetland Park Based on MCCA Model and Landscape Theory: A Case Study of Chaohu Peninsula, China.

As a transitional zone between urban and rural areas, the peri-urban areas are the areas with the most intense urban expansion and the most frequent spatial reconfiguration, and in this context, it is particularly important to reveal the evolution pattern of rural settlements in the peri-urban areas to provide reference for the rearrangement of rural settlements. The study takes five townships in the urban suburbs, and explores the scale, shape, spatial layout, and spatial characteristics of the urban suburbs of Hefei from 1980 to 2030 under the influence of urban-lake symbiosis based on spatial mathematical analysis and geographical simulation software. The study shows that: (1) the overall layout of rural settlements in the study area is randomly distributed due to the hilly terrain, but in small areas there is a high and low clustering phenomenon, and the spatial density shows the distribution characteristics of “high in the east and low in the west”; (2) since the reform and opening up, there are large spatial differences in the scale of rural settlements in the study area. (3) Different development scenarios have a strong impact on the future spatial pattern of rural settlement land use within the study area, which is a strong reflection of policy.

Does Coal Mining Have Effects on Land Use Changes in a Coal Resource-Based City? Evidence from Huaibei City on the North China Plain.

Continuous coal mining results in dramatic regional land use change, and significantly influences the sustainable development of coal resource-based cities. Present studies pay little attention to the characteristics and regularities of land use change in coal resource-based cities, caused by underground coal mining in high groundwater areas. Based on the Landsat remote sensing images of 1999, 2000, 2010, and 2018 of Huaibei City, a typical coal resource-based city of a high ground water area on the North China Plain, this paper applies the dynamic degree and transition matrix of land use to analyze the land use change characteristics, and identify the regularity between land use type and coal mining production in this coal resource-based city. Results show that the land use change in the research area presents an overall characteristic of a constant increase in water area, urban construction land, and rural settlement land, and a continuous decrease in cultivated land. Cultivated land is converted into a water area, urban construction land, and rural settlement land, and rural settlement land and cultivated land are converted bidirectionally. The land use change in this coal resource-based city demonstrates significant reliance on coal resources, and coal mining is significantly related to the area of cultivated land, water area, and rural settlement land, which demonstrates that continuous large-scale coal mining results in damage to cultivated land, a decrease in rural settlement land, and an increase in water area. The research result contributes to the sustainable land use of coal resource-based cities.

Analysis on the Evolution of Rural Settlement Pattern and Its Influencing Factors in China from 1995 to 2015

Since the early 1990s, China has experienced rapid industrialization and urbanization. As cities have expanded rapidly, the spatial patterns of rural settlements also changed significantly. This study uses land use data from satellite imagery interpretation, socioeconomic statistics, and field survey data, together with techniques including landscape pattern analysis, kernel density estimation, and spatial measurement models, to analyze the evolving spatial patterns of rural settlements influencing factors in China from 1995 to 2015. The results indicate the following: First, China’s rural settlements experienced significant changes in the period 1995–2015, as 88.92% of Prefectural-level administrative district units saw an increase in rural settlement area, with total settlement size increasing by 1.35 million hectares, and settlement area sprawl index values can be summarized as “high in the west and low in the east”. Second, in the two-decade study period, the population agglomeration capacity of rural settlements in China continuously weakened, and the shape and structure of rural settlement became more complex and irregular. The scale and scope of the disappearance of rural settlement areas in the northeast and southeast regions was relatively drastic, and the kernel density value of settlements dropped significantly. Third, the increase in rural settlement land area is concentrated in low-altitude and low-slope areas, with a significant tendency to be near water and roads. Fourth, social and economic factors, such as per capita net income of rural residents, the proportion of the population employed in agriculture, the size and structure of the permanent rural population, local fiscal revenue, and urbanization level, are the main factors that cause changes of rural settlement patterns. The results of this study can serve as a reference for promoting regional rural sustainable development policies and advancing rural spatial governance and comprehensive revitalization.

Future Impact of Land Use/Land Cover Changes on Ecosystem Services in the Lower Meghna River Estuary, Bangladesh

Assessing the effects of different land use scenarios on subsequent changes in ecosystem service has great implications for sustainable land management. Here, we designed four land use/land cover (LULC) scenarios, such as business-as-usual development (BAUD), economic development priority (EDP), ecological protection priority (EPP), and afforestation development priority (ADP), through a Cellular Automata-Markov (CA-Markov) model, and their effects on ecosystem service values (ESVs) were predicted, using historical LULC maps and ESV coefficients of the Lower Meghna River Estuary, Bangladesh. Findings revealed that agricultural and mangrove forest lands experienced the greatest decreases, while rural and urban settlement land had the greatest increases, leading to a total ESV decrease of US$105.34 million during 1988-2018. The scenario analysis indicated that ESV in 2038 would also decrease by US$41.37 million and US$16.38 million under the BAUD and EDP scenarios, respectively, while ESV will increase by US$60.61 million and US$130.95 million under the EPP and ADP scenarios, respectively. However, all the future land use scenarios will lead to 1.65%, 10.21%, 7.58%, and 6.75% gaps in total food requirements, respectively. Hence, from the perspective of maximizing ESVs and minimizing the trade-offs in food gaps, the ADP scenario could be the optimal land management policy for the studied landscape.

Spatiotemporal change of rural settlement land in the Loess Plateau and influencing factors

Spatiotemporal change of rural settlement land in the Loess Plateau and influencing factors

Farmers' Rural-To-Urban Migration, Influencing Factors and Development Framework: A Case Study of Sihe Village of Gansu, China.

Farmers are the major participants in rural development process and their willingness to settle in urban areas directly affects the implementation of rural revitalization strategy. Based on Ostrom’s institutional analysis and development (IAD) framework, we analyzed farmers’ willingness to settle in urban areas and its influencing factors by binary Logistic regression and cluster analysis of survey data of 190 rural households in Sihe village of Gansu Province of China. The results show that: (1) In Sihe village, farmers’ willingness to settle in urban areas was low in general and influenced by their neighbors’ decisions or behaviors. Households willing and unwilling to migrate to urban areas both presented significant spatial agglomeration. (2) The factors influencing farmers’ willingness to settle in urban areas were analyzed from six aspects: individual characteristics, family characteristics, residence characteristics, cognitive characteristics, institutions, and constraints. The main influencing factors were found to be age, occupation, number of non-agricultural workers in the family, household cultivated land area, annual household income, house building materials, degree of satisfaction with social pension, homestead and contracted land subsidies, income constraints, and other constraints. (3) Individual heterogeneity and difference in economic basis determined the difference in farmers’ willingness to settle in urban areas. Institutions and constraints played different roles in the migration willingness of different groups of farmers (Note: More details on the sample as well as further interpretation and discussion of the surveys are available in the associated research article (“Village-Scale Livelihood Change and the Response of Rural Settlement Land Use: Sihe Village of Tongwei County in Mid-Gansu Loess Hilly Region as an Example” (Ma, L.B.; Liu, S.C.; Niu, Y.W.; Chen, M.M., 2018)).

Spatio-temporal land use/cover dynamics and its implication for sustainable land use in Wanka watershed, northwestern highlands of Ethiopia

Long -term land use and land cover (LULC) dynamics information is essential to understand the trends and make necessary land management interventions, such as in the highlands of Ethiopia. This study analyzed six decades of LULC dynamics of Wanka watershed, Northwestern Ethiopian highlands. Two sets of aerial photographs (1957 and 2017), SPOT 5 and sentinel satellite imageries were analyzed. In addition, key informant interviews, focus group discussions and field observations were used to identify the drivers and impact of LULC change. It was found that cultivated and rural settlement land (CRSL), bare land, and urban built up area have been continuously expanded at the expenses of mainly forest and shrub lands. Over the entire study period (1957–2017) while the bare land and CRSL have increased by about 59% and 20% respectively, forest and shrub lands have declined by 59% and 57% respectively. Urban built up area has also expanded. The impact of population pressure and expansion of CRSL land were considerable. The trend of LULC dynamics in the study watershed implies adverse impact on the quality and quantity of the land resource. Hence, appropriate land use planning and strategies that reduce expansion of cultivated land need to be practiced.

Assessing the Potential of Rural Settlement Land Consolidation in China: A Method Based on Comprehensive Evaluation of Restricted Factors

Rural settlement land consolidation potential calculation is the basic work of land consolidation. An accurate potential is essential to rural development planners and policy makers as a project target or prediction. The traditional calculation methods include the per capita/household construction land method, idle rural residential land method, and comprehensive evaluation method. Though there have been some improvements, the potential for calculation methods on a national level is still limited. This article illustrates a new method for calculating the consolidation potential of rural settlement land, based on field data and the restructuring restrictions applicable to each rural land parcel in China. The field data was from Shandong Province because it lies within the country’s biggest grain-producing area with the largest distribution density of rural settlements. It is an excellent representative sample for rural settlement land consolidation, offering a microcosm of rural development in China. For the study’s comprehensive evaluation system, due to the lack of nationwide field survey data, the potential of Shandong Province was chosen as the standard value. We selected indicators concerning land resources, depopulation, transportation accessibility, local economic development, urbanization, and natural conditions to build an evaluation system. We then calculated the potential of each province according to their coefficients and field data from Shandong Province. Every province except Taiwan (for which no data were available) was divided into five zones for rural settlement land consolidation: the most-suitable zone, suitable zone, general zone, restricted zone, and most-restricted zone. The total rate of land consolidation is estimated at 0.24 for 2010 and forecast at 0.33 for 2020, while those years’ respective consolidation potentials are 32,777.92 km2 and 44,707.81 km2. The rate is the total rural settlement land before land consolidation divided by added cultivated land after consolidation. The higher the rate, more effective the land consolidation is.

Village-Scale Livelihood Change and the Response of Rural Settlement Land Use: Sihe Village of Tongwei County in Mid-Gansu Loess Hilly Region as an Example.

Rural livelihood change has great influence on the scale, structure, and morphology of rural settlement land use, thus bringing new challenges to rural revitalization and settlement reconstruction. Sihe village of Tongwei County in mid-Gansu loess hilly region (China) was taken as an example here. Based on participatory rural appraisal data, we analyzed the structure and allocation of rural households’ livelihood assets as well as their livelihood diversity by using ecological asset, livelihood diversification index, and landscape pattern index models. We aimed to find a response mechanism between rural livelihood change and rural settlement land use change. The results might provide useful information for the selection of new village sites, reconstruction of rural settlements, and creation of livable rural environment. Results indicate that: (1) The total value of the average livelihood assets per household in the Sihe village increased significantly from 0.48 in 1988 to 1.288 in 2016. The four types of livelihood assets including natural, material, manpower, and financial assets changed with time. In 1988, the manpower asset was the most important type of livelihood assets, with value accounting for 76.67% of the total value of livelihood assets. With the extension of time, the proportions of the four types of assets in total livelihood assets became closer to each other. The livelihood diversification index of the Sihe village increased from 2.01 in 1988 to 3 in 2016, indicating the rural livelihoods became diverse; (2) Because of the dual influence of external environmental factors and the rural development policies of the country and the region, the livelihoods changed towards agricultural sector from 1988 to 2008, and the agricultural livelihoods tended to be diverse. The following trend of livelihood strategy change was observed: from diverse non-agricultural production group (IV) to agricultural and non-agricultural production group (III), then to diverse agricultural production group (II) and finally to agricultural production group (I). After 2008, the livelihoods changed towards non-agricultural sector, and the non-agricultural livelihoods tended to be diverse. This trend of livelihood change is opposite to that before 2008; (3) 2008 is the key year of livelihood change. Livelihood change caused changes in the scale, structure, and morphology of rural settlement land use, which eventually led to the change of rural residential land use.

Spatiotemporal Decoupling between Population and Construction Land in Urban and Rural Hubei Province

In urban and rural areas under rapid urbanization, a proper understanding of the relationship between population and construction land use is important for regional sustainable development. The decoupling method is a particularly useful way to examine this relationship. However, the decoupling method only considers the current relationship between population and construction land, ignoring the initial status in the base year. Based on an improved decoupling model, vector land-use data (1:10,000 scale) from two National Land Investigations, and demographic data from the China Statistics Bureau, this paper analyzes population and construction land use change patterns as well as the types of coupling in urban and rural Hubei. The results better reflect the relationship between population and construction land use. The outcomes show that from 2009 to 2014, both the urban population and urban construction land use increased while the rural population decreased as rural settlement land use expanded. In 61 counties, the relationship between the urban population and construction land use showed expansive negative decoupling; that is, the growth rate of urban population was less than the growth rate of the urban construction land use. In 72 counties, the relationship between the rural population and rural settlement land showed a strong negative decoupling; that is, the rural population decreased while the rural settlement land use increased. The relationship between the urban–rural population and construction land use can be divided into eight types. Only nine counties are somewhat coordinated, while the other counties were all uncoordinated. Suggestions are provided by comparing per capita urban construction land and per capita rural settlement land in the base and current years with the national standard and considering the coupling types for population and construction land use change in urban and rural settings. Finally, we discuss approaches to optimize urban–rural space organization and promote coordinated urban–rural development.

Quantitative estimation and spatial reconstruction of urban and rural construction land in Jiangsu Province, 1820–1985

Land cover is the most evident landscape signal to characterize the influence of human activities on terrestrial ecosystems. Since the industrial revolution, the expansion of construction land has profoundly changed the status of land use coverage and changes. This study is proposed to reconstruct the spatial pattern of construction land (urban construction land and rural settlement land) for five historical periods over the past 200 years in Jiangsu Province with 200 m × 200 m grids on the basis of quantitative estimation. Urban construction land is estimated based on data about city walls, four gates along walls, and other socio-economic factors. Rural settlement land is calculated based on the rural population and per capita housing allowance. The spatial pattern of historical construction land is simulated based on the distribution of modern construction land in 1985 with a quantitative-boundarysuitability control method and thorough consideration over connectivity of different land use types. The study concludes that: (1) the amount of construction land in Jiangsu Province is estimated at 963.46 km2 in 1820, 1043.46 km2 in 1911, 1672.40 km2 in 1936, 1980.34 km2 in 1952 and 10,687.20 km2 in 1985; and (2) the spatial distribution of construction land features the great proclivity to water bodies and main roads and the strong polarization of existent residence. The results are verified directly and indirectly by applying the trend verification of construction land changes and patterns, the correlation analysis between rural settlement land and local arable land, and quantitative accuracy test of the reconstructed construction land to actual historical survey maps covering four sample regions in 1936.

Rural Settlement Development and Environment Carrying Capacity Changes in Progo River Basin

Generally the broader rural settlement the heavier population pressure on agricultural land. It indicates that carrying capacity of the rural environment threatened lower. The spatial distribution of the threat in a river basin is quite important as one of the river basin management inputs. Therefore, this article aims at exposing result of research about influence rural population growth and rural settlement land changes to environment carrying capacity. This research was carried out in the rural area in Progo river basin consists 56 sub districts (34 sub districts part of Jawa Tengah Province, and 22 sub districts part of Yogyakarta Special Region). The whole sub districts are such as unit analysis, and research method is based on secondary data analysis. Several data consist Districts Region in Figure 1997 and 2003 (Temanggung, Magelang, Kulon Progo, Sleman and Bantul) such as secondary data analysis. Data analysis employs of frequency and cross tabulation, statistics of regression and test. Result of the research shows that population growth of the rural areas in Progo river basin are about 0.72% annum; or the household growth about 3.15% annum as long as five years (1996-2003). Spatial distribution of the population growth in the upper part of the Progo river basin is higher than in the middle and lower part of the basin. The number proportion of farmer in every sub district area in this river basin have increased from 69.95% in 1997 to 70.81% in the year of 2003. It means that work opportunities broadening are still sluggish. However, the number proportion of farmers in the upper part of the Progo river basin is lower than in the middle and lower part of the basin. The rates of settlement land areas changes (0.32 ha/annum) as long as five years (1997-2003) is not as fast as the rates of agricultural land areas changes (0.47 ha/annum). Spatial land settlement areas changes in the lower (6.1 ha/annum) and middle parts (2.4 ha/annum) faster than upper part of the river basin, as a consequence the different accessibility to urban area. Environment carrying capacity of every sub district areas in this river basin becomes lower as long as five years (1997-2003). In the upper part of the basin however, the index of environment carrying data (0.13) higher than in the lower part of this river basin (0.09), especially in the several sub districts surrounding urban area. The environment carrying capacity of Progo river basin depends on the land settlement and the growth of household number changes. However, influence of the land settlement area changes is stronger than the growth of household number changes to the environment carrying capacity. This result of research shows that spatial and temporal characteristics of settlement environment degradation in the lower and middle parts wider than in the upper part of Progo river basin in the coming twenty five of years.

The role of the rural settlements in the Brazilian savanna deforesting process

ABSTRACTAlthough the drivers of deforestation in Brazil are relatively well known, there is still limited understanding of the role of family farm-based rural settlements in land cover changes, particularly in the Brazilian savanna. This research aims to identify land use patterns within rural settlements and examine how they are influenced by regional dynamics. The study is based on GIS techniques and satellite image classification (Landsat 5-TM and RapidEye imagery), combined with geo-referenced fieldwork data in three different regions of the State of Goiás. The results reveal that the deforestation arrangement within the studied rural settlements is very similar to the deforestation found in the surrounding regions. As a positive outcome, the rural settlements have a higher share of remnant vegetation when compared to the surrounding areas, but this is still concentrated within legal reserves. We conclude that the changing patterns of rural settlement land cover are highly influenced by regional dynamics.