scholarly journals The Landscape Patterns of the Giant Panda Protection Area in Sichuan Province and Their Impact on Giant Pandas

2019 ◽  
Vol 11 (21) ◽  
pp. 5993
Author(s):  
Qin ◽  
Huang ◽  
Liu ◽  
Chen ◽  
Zhang ◽  
...  
Keyword(s):  
Land Use ◽  
Economic Development ◽  
Giant Panda ◽  
Sichuan Province ◽  
Landscape Patterns ◽  
Human Populations ◽  
Resource Exploitation ◽  
Land Use Patterns ◽  
Giant Pandas ◽  
The Impact

As the flagship species of biodiversity conservation in China, the giant panda has significant ecological protection value and plays an important demonstrative role for conservation. Sichuan Province has the largest area of giant panda habitat, making its protected areas the most important for the conservation of this species. However, the habitats of the giant panda are shrinking due to human disturbance through land encroachment for agriculture and other forms of resource exploitation. Reducing these pressures requires assessing current land use and the causes of fragmenting giant panda habitats. This paper reports on changes in land-use patterns and socio-economic development in typical counties with giant panda habitats in Sichuan in 2003 and 2015, with a focus on giant panda protection areas and human pressures in the surrounding lands. We found that road construction, industrial infrastructure, and other forms of economic development have led to increases in human populations and fragmentation of the giant panda habitats, such that that the population of this species has been significantly reduced in some counties. Improving the protection of giant panda requires designing regional economic development activities based on scientific principles to provide benefits to both the local people and the giant pandas. For example, when making land use plans, the local government should consider the impact of the development of the communities surrounding the giant panda areas on the giant pandas’ habitat.

scholarly journals Impacts of Urbanization on Land Use Pattern and Environment: A Case Study of Ajmer City, Rajasthan

2019 ◽  
Vol 8 (1) ◽  
pp. 87-91
Author(s):  
Bhanu Priya Chouhan ◽  
Monika Kannan
Keyword(s):  
Land Use ◽  
Urban Growth ◽  
Land Degradation ◽  
Satellite Images ◽  
Agricultural Land ◽  
Population Pressure ◽  
Geographical Information ◽  
Land Use Patterns ◽  
Use Patterns ◽  
The Impact

The world is undergoing the largest wave of urban growth in history. More than half of the world’s population now lives in towns and cities, and by 2030 this number will swell to about 5 billion. ‘Urbanization has the potential to usher in a new era of wellbeing, resource efficiency and economic growth. But due to increased population the pressure of demand also increases in urban areas’ (Drakakis-Smith, David, 1996). The loss of agricultural land to other land uses occasioned by urban growth is an issue of growing concern worldwide, particularly in the developing countries like India. This paper is an attempt to assess the impact of urbanization on land use and land cover patterns in Ajmer city. Recent trends indicate that the rural urban migration and religious significance of the place attracting thousands of tourists every year, have immensely contributed in the increasing population of city and is causing change in land use patterns. This accelerating urban sprawl has led to shrinking of the agricultural land and land holdings. Due to increased rate of urbanization, the agricultural areas have been transformed into residential and industrial areas (Retnaraj D,1994). There are several key factors which cause increase in population here such as Smart City Projects, potential for employment, higher education, more comfortable and quality housing, better health facilities, high living standard etc. Population pressure not only directly increases the demand for food, but also indirectly reduces its supply through building development, environmental degradation and marginalization of food production (Aldington T, 1997). Also, there are several issues which are associated with continuous increase in population i.e. land degradation, pollution, poverty, slums, unaffordable housing etc. Pollution, formulation of slums, transportation congestion, environmental hazards, land degradation and crime are some of the major impacts of urbanization on Ajmer city. This study involves mapping of land use patterns by analyzing data and satellite imagery taken at different time periods. The satellite images of year 2000 and 2017 are used. The change detection techniques are used with the help of Geographical Information System software like ERDAS and ArcGIS. The supervised classification of all the three satellite images is done by ERDAS software to demarcate and analyze land use change.

scholarly journals Relating Land Use/Cover and Landscape Pattern to the Water Quality under the Simulation of SWAT in a Reservoir Basin, Southeast China

2021 ◽  
Vol 13 (19) ◽  
pp. 11067
Author(s):  
Kaige Lei ◽  
Yifan Wu ◽  
Feng Li ◽  
Jiayu Yang ◽  
Mingtao Xiang ◽  
...  
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Google Earth ◽  
Landscape Patterns ◽  
Buffer Size ◽  
Construction Land ◽  
Drinking Water Standard ◽  
Reservoir Basin ◽  
The Impact ◽  
Cover Pattern

Understanding the relationship between land use/cover pattern and water quality could provide guidelines for non-point source pollution and facilitate sustainable development. The previous studies mainly relate the land use/cover of the entire region to the water quality at the monitoring sites, but the water quality at monitoring sites did not totally reflect the water environment of the entire basin. In this study, the land use/cover was monitored on Google Earth Engine in Tang-Pu Reservoir basin, China. In order to reflect the water quality of the whole study area, the spatial distribution of the determinants for water quality there, i.e., the total nitrogen and total phosphorus (TN&TP), were simulated by the Soil and Water Assessment Tool (SWAT). The redundancy analysis explored the correlations between land use/cover pattern and simulated TN&TP. The results showed that: (1) From 2009 to 2019, forest was the dominant land cover, and there was little land use/cover change. The landscape fragmentation increased, and the connectivity decreased. (2) About 25% TP concentrations and nearly all the TN concentrations at the monitoring points did not reach drinking water standard, which means nitrogen and phosphorus pollution were the most serious problems. The highest output per unit TN&TP simulated by SWAT were 44.50 kg/hm2 and 9.51 kg/hm2 and occurred in areas with highly fragile landscape patterns. (3) TN&TP correlated positively with cultivated and construction land but negatively with forest. The correlation between forest and TN&TP summited at 500–700-m buffer and construction land at 100-m buffer. As the buffer size increased, the correlation between the cultivated land, and the TN weakened, while the correlation with the TP increased. TN&TP correlated positively with the Shannon’s Diversity Index and negatively with the Contagion Index. This study provides a new perspective for exporting the impact of land use/cover pattern on water quality.

scholarly journals The Impacts of Land Use Patterns on Water Quality in a Trans-Boundary River Basin in Northeast China Based on Eco-Functional Regionalization

2018 ◽  
Vol 15 (9) ◽  
pp. 1872 ◽  
Author(s):  
Peixuan Cheng ◽  
Fansheng Meng ◽  
Yeyao Wang ◽  
Lingsong Zhang ◽  
Qi Yang ◽  
...  
Keyword(s):  
Water Quality ◽  
Land Use ◽  
River Basin ◽  
Natural Environment ◽  
Flow Region ◽  
High Flow ◽  
Land Use Patterns ◽  
Use Patterns ◽  
The Impact ◽  
Degraded Water Quality

The relationships between land use patterns and water quality in trans-boundary watersheds remain elusive due to the heterogeneous natural environment. We assess the impact of land use patterns on water quality at different eco-functional regions in the Songhua River basin during two hydrological seasons in 2016. The partial least square regression indicated that agricultural activities associated with most water quality pollutants in the region with a relative higher runoff depth and lower altitude. Intensive grazing had negative impacts on water quality in plain areas with low runoff depth. Forest was related negatively with degraded water quality in mountainous high flow region. Patch density and edge density had major impacts on water quality contaminants especially in mountainous high flow region; Contagion was related with non-point source pollutants in mountainous normal flow region; landscape shape index was an effective indicator for anions in some eco-regions in high flow season; Shannon’s diversity index contributed to degraded water quality in each eco-region, indicating the variation of landscape heterogeneity influenced water quality regardless of natural environment. The results provide a regional based approach of identifying the impact of land use patterns on water quality in order to improve water pollution control and land use management.

scholarly journals Spatiotemporal analysis of landscape patterns and its effect on soil loss in the Rmel river basin, Tunisia

2020 ◽  
Vol 16 (No. 1) ◽  
pp. 39-49
Author(s):  
Sana Bouguerra ◽  
Sihem Jebari ◽  
Jamila Tarhouni
Keyword(s):  
Land Use ◽  
Ecosystem Services ◽  
Land Cover ◽  
Soil Loss ◽  
Water Resource Management ◽  
Landscape Patterns ◽  
Delivery Ratio ◽  
Trade Offs ◽  
Sediment Export ◽  
The Impact

Changes in land use and land cover (LULC) are generally associated with environment pollution and the degradation of natural resources. Detecting LULC changes is essential to assess the impact on ecosystem services. The current research studies the impact of the LULC change on the soil loss and sediment export in a period of 43 years from 1972 to 2015. Landsat imageries were classified into five classes using a supervised classification method and the maximum likelihood Algorithm. Then, the sediment retention service for avoiding reservoir sedimentation was assessed using the InVEST SDR (integrated valuation of ecosystem services and trade-offs sediment delivery ratio) model. The results showed that the changes are very important in this study period (1972–2015). Forests were reduced by 18.72% and croplands were increased by approximately 54%. The InVEST SDR model simulation results reveal an increase in the sediment export and soil loss, respectively, from 1.68 to 5.57 t/ha/year and from 15.22 to 43.61 t/ha/year from the year 1972 to 2015. These results highlight the need for targeted policies on integrated land and water resource management. Then, it is important to improve the common understanding of land use and land cover dynamics to the different stakeholders. All these can help in projecting future changes in the LULC and to investigate more appropriate policy interventions for achieving better land and water management.

Human impacts and sustainability of grasslands in the northern Tianshan Mountains region of China

2012 ◽  
Vol 34 (3) ◽  
pp. 257 ◽  
Author(s):  
Wan Yu Zhao ◽  
Ya Ning Chen ◽  
Li Zhao ◽  
Hui Yin
Keyword(s):  
Land Use ◽  
Human Impacts ◽  
Economic Status ◽  
Tianshan Mountains ◽  
Western China ◽  
Land Use Patterns ◽  
Grazing Land ◽  
Animal Products ◽  
Cropland Area ◽  
The Impact

A case study of changes in the pattern of land use was undertaken to describe the impact of land-use policy reform, rapid industrialisation and urbanisation in an arid area with particular reference to the Fukang County of the Xinjiang Uigur Autonomous Region of western China, in the Tianshan Mountains region, between 1971 and 2006. Information was obtained from a range of sources on changes in the consumption of products and related to changes in their area of production since little exchange of crop and animal products occurred outside the County particularly during the earlier part of the period in the light of the traditional self-sufficiency in inland undeveloped counties of western China. It was found that an unrestrained boom in the consumption of energy resources and animal products to promote economic activity and to increase the standard of living of humans led to a rapidly increased production from land resources. However, continuously expanding resource consumption quickly crossed the threshold of land ecosystem rehabilitation and caused unsustainable land-use patterns, especially in the transitional grassland–cropland area. The study demonstrated that grazing land is exposed to more ecological risks than cropland and forestland, not only due to enormously expanding requirements for and decreasing supply of grazing land but also Kazak herdsmen’s inability to cope with the management of change in the use of the grassland resource largely because of their poor economic status, lack of knowledge, passive response to rapid industrialisation and urbanisation, and some cultural conflicts.

scholarly journals The Influence of Land Use Change on Ecosystem Service Value in Shangzhou District

2019 ◽  
Vol 16 (8) ◽  
pp. 1321 ◽  
Author(s):  
Keyue Yuan ◽  
Fei Li ◽  
Haijuan Yang ◽  
Yiming Wang
Keyword(s):  
Land Use ◽  
Ecosystem Services ◽  
Land Use Change ◽  
Ecosystem Service ◽  
Ecosystem Service Value ◽  
Land Use Patterns ◽  
Service Value ◽  
Ecological Service ◽  
And Function ◽  
The Impact

Land use change has an impact on the ecosystem service value because it changes the structure and function of ecosystems. This paper analyzed the changes in land use during the period from 2000 to 2015 in Shangzhou district, and used the equivalent value of ecological services per unit area of land ecosystem combining the natural and economic conditions of Shangzhou district. Based on this method, the ecological service value of Shangzhou district was estimated, and the impact of land use change on the ecological service value was analyzed. The results showed that: (1) the main types of land use in Shangzhou district were grassland, woodland and farmland, among which the contribution rate of woodland to the value of local ecosystem services was the highest; (2) the overall trend in the ecosystem service value in Shangzhou district increased between 2000 and 2015, from 10.74 × 108 yuan in 2000 to 20.32 × 108 yuan in 2015, which is the result of the combined effects of regional economic development and changes in the natural environment and land use patterns; and (3) the main reason for the value increase of ecosystem services in Shangzhou district between 2000 and 2015 was that the grain-for-green policy transformed a considerable amount of farmland into woodland, while the main reasons for a decline in value was the expansion of built-up land that occupied other types of land.

scholarly journals The Impact of New Industry on County Government Property Tax Revenue

1980 ◽  
Vol 12 (1) ◽  
pp. 193-197 ◽  
Author(s):  
Mark Henry ◽  
Kathy Lambert
Keyword(s):  
Land Use ◽  
Private Sector ◽  
Land Use Patterns ◽  
Fiscal Impact ◽  
The Public ◽  
Use Patterns ◽  
Local Officials ◽  
The Impact ◽  
New Industry ◽  
New Jobs

The attraction of new industry is an ongoing concern for most local officials. Generally, local officials are aware of the private sector benefits of new jobs and income. Attention is beginning to be paid to secondary private sector impacts such as the effect of new industry on local wage rates and the problems associated with in-migration of labor to fill new jobs. Borts and Stein (Chapter 9) give a theoretical discussion of these issues.In addition researchers and policy makers are interested in the development of models that estimate the impact of new industry on local government expenditures and revenues. Many computerized versions of local fiscal impact models are reviewed in a recently published text (Burchell and Listokin, pp. 345-59). The popularity of these models is understandable because of the potential benefits to be derived from accurate forecasts of local fiscal impact. For example, a community can determine the magnitude of a tax incentive it can offer to industry and still maintain a positive fiscal impact for local government. Zoning laws can be written to encourage land use patterns that will be efficient from the public sector's perspective if the public expenditures and public revenues associated with alternative land use patterns can be predicted. Finally, local areas may be able to demonstrate to state government that a large-scale industrial project will benefit the fiscal position of the state but be a burden to the local fiscal balance.

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