scholarly journals Effects of Peri-Urban Land Use Changes on Forest Ecosystem Services: The Case of Settlements Surrounding Pugu and Kazimzumbwi Forest Reserves in Tanzania

2014 ◽  
Vol 6 (4) ◽  
Author(s):  
John M. Lupala ◽  
Makarius V. Mdemu ◽  
Stanslaus P. Butungo
Keyword(s):  
Land Use ◽  
Ecosystem Services ◽  
Forest Ecosystem ◽  
Land Use Changes ◽  
Urban Land ◽  
Urban Land Use ◽  
Forest Reserves ◽  
Forest Ecosystem Services

scholarly journals Forest ecosystem services affected by natural disturbances, climate and land-use changes in the Tatra Mountains

2017 ◽  
Vol 73 (1-2) ◽  
pp. 57-71 ◽  
Author(s):  
P Fleischer ◽  
V Pichler ◽  
P Fleischer Jr ◽  
L Holko ◽  
F Máliš ◽  
...  
Keyword(s):  
Land Use ◽  
Ecosystem Services ◽  
Forest Ecosystem ◽  
Land Use Changes ◽  
Natural Disturbances ◽  
Tatra Mountains ◽  
Forest Ecosystem Services ◽  
The Tatra Mountains

scholarly journals Impacts of Urban Land Use Changes on Ecosystem Services in Dianchi Lake Basin, China

2021 ◽  
Vol 13 (9) ◽  
pp. 4813
Author(s):  
Ruibo Wang ◽  
Xiaojun Xu ◽  
Yang Bai ◽  
Juha M. Alatalo ◽  
Zongbao Yang ◽  
...  
Keyword(s):  
Land Use ◽  
Ecosystem Services ◽  
Land Use Change ◽  
Land Use Changes ◽  
Urban Land ◽  
Urban Land Use ◽  
Water Volume ◽  
Dianchi Lake ◽  
Lake Basin ◽  
Rapid Urbanization

Land use change is widely regarded as a key factor altering the structure and function of ecosystems. Urbanization is a particular driver and influence in land use change and is expanding globally, especially in developing countries like China. The InVEST model was employed in this study to comprehensively assess the temporal-spatial impacts of urban land use changes (ULUC) on ecosystem services (ESs) and clarify the tradeoffs between urbanization and ecosystem services provision (ESP) in Dianchi Lake Basin (DLB), China, during 1995–2015. The results showed that DLB’s constructed land, particularly in lakeside areas, has increased substantially because of rapid urbanization (built-up area increase 51%, urbanization rate increase 91%), at the expense of agriculture, grassland, and scrubland, greatly altering ESP. Compared with 1995, carbon storage in 2015 decreased, while soil retention and nitrogen exports only fluctuated slightly. Although water yield increased, the ecological water volume of the whole DLB decreased through an increase in regional surface runoff. This resulted in more pollutants being carried into Dianchi Lake, impairing water quality and causing serious ecological and environmental issues. Thus, this study provides empirical evidence of the significant influence of ULUC on ESP. For eco-friendly urbanization in DLB and similar areas with rapid urbanization, a sustainable pattern of urbanization should be followed. The best tradeoffs between urbanization and ESP should be identified and considered in decision-making relating to urban planning, land use management, optimal natural resources management, and ecological conservation.

Mapping the Supply of Local Forest Ecosystem Services: Based on Delphi and Land Use Scoring Method

2020 ◽  
Vol 9 (2) ◽  
pp. 295-312
Author(s):  
Jang-Hwan Jo ◽  
Moon-Ki Choi ◽  
Oh Seok Kim ◽  
Kyeong-hak Lee ◽  
Chang-Bae Lee
Keyword(s):  
Land Use ◽  
Ecosystem Services ◽  
Forest Ecosystem ◽  
Scoring Method ◽  
Forest Ecosystem Services

scholarly journals Correction to: The impacts of agricultural and urban land-use changes on plant and bird biodiversity in Costa Rica (1986–2014)

2021 ◽  
Vol 21 (3) ◽  
Author(s):  
Andrea Montero ◽  
Joan Marull ◽  
Enric Tello ◽  
Claudio Cattaneo ◽  
Francesc Coll ◽  
...  
Keyword(s):  
Land Use ◽  
Costa Rica ◽  
Land Use Changes ◽  
Urban Land ◽  
Urban Land Use

scholarly journals Study on Land-use Changes and Their Impacts on Air Pollution in Chengdu

Atmosphere ◽  
2019 ◽  
Vol 11 (1) ◽  
pp. 42 ◽  
Author(s):  
Wei Sun ◽  
Zhihong Liu ◽  
Yang Zhang ◽  
Weixin Xu ◽  
Xiaotong Lv ◽  
...  
Keyword(s):  
Land Use ◽  
Wind Speed ◽  
Correlation Coefficient ◽  
Urban Areas ◽  
Land Use Changes ◽  
Urban Land ◽  
Urban Land Use ◽  
Simulation Results ◽  
The City ◽  
Better Than

The expansion of urban areas and the increase in the number of buildings and urbanization characteristics, such as roads, affect the meteorological environment in urban areas, resulting in weakened pollutant dispersion. First, this paper uses GIS (geographic information system) spatial analysis technology and landscape ecology analysis methods to analyze the dynamic changes in land cover and landscape patterns in Chengdu as a result of urban development. Second, the most appropriate WRF (Weather Research and Forecasting) model parameterization scheme is selected and screened. Land-use data from different development stages in the city are included in the model, and the wind speed and temperature results simulated using new and old land-use data (1980 and 2015) are evaluated and compared. Finally, the results of the numerical simulations by the WRF-Chem air quality model using new and old land-use data are coupled with 0.25° × 0.25°-resolution MEIC (Multi-resolution Emission Inventory for China) emission source data from Tsinghua University. The results of the sensitivity experiments using the WRF-Chem model for the city under different development conditions and during different periods are discussed. The meteorological conditions and pollution sources remained unchanged as the land-use data changed, which revealed the impact of urban land-use changes on the simulation results of PM2.5 atmospheric pollutants. The results show the following. (1) From 1980 to 2015, the land-use changes in Chengdu were obvious, and cultivated land exhibited the greatest changes, followed by forestland. Under the influence of urban land-use dynamics and human activities, both the richness and evenness of the landscape in Chengdu increased. (2) The microphysical scheme WSM3 (WRF Single–Moment 3 class) and land-surface scheme SLAB (5-layer diffusion scheme) were the most suitable for simulating temperatures and wind speeds in the WRF model. The wind speed and temperature simulation results using the 2015 land-use data were better than those using the 1980 land-use data when assessed according to the coincidence index and correlation coefficient. (3) The WRF-Chem simulation results obtained for PM2.5 using the 2015 land-use data were better than those obtained using the 1980 land-use data in terms of the correlation coefficient and standard deviation. The concentration of PM2.5 in urban areas was higher than that in the suburbs, and the concentration of PM2.5 was lower on Longquan Mountain in Chengdu than in the surrounding areas.

scholarly journals The Exploration of Urban Material Anabolism Based on RS and GIS Methods: Case Study in Jinchang, China

2020 ◽  
Vol 12 (3) ◽  
pp. 370
Author(s):  
Shuqi He ◽  
Xingpeng Chen ◽  
Zilong Zhang ◽  
Zhaoyue Wang ◽  
Mengran Hu
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Metabolic Response ◽  
Land Use Changes ◽  
Central Business District ◽  
Urban Land ◽  
Urban Land Use ◽  
Urban Systems ◽  
Building Stock ◽  
High Resolution Satellite Images

As an open artificial ecosystem, the development of a city requires the continuous input and output of material and energy, which is called urban metabolism, and includes catabolic (material-flow) and anabolic (material-accumulation) processes. Previous studies have focused on the catabolic and ignored the anabolic process due to data and technology problems. The combination of remote-sensing technology and high-resolution satellite images facilitates the estimation of cumulative material amounts in urban systems. This study focused on persistent accumulation, which is the metabolic response of urban land use/urban land expansion, building stock, and road stock to land-use changes. Building stock is an extremely cost-intensive and long-lived component of cumulative metabolism. The study measured building stocks of Jinchang, China’s nickel capital by using remote-sensing images and field-research data. The development of the built environment could be analyzed by comparing the stock of buildings on maps representing different time periods. The results indicated that material anabolism in Jinchang is a distance-dependent function, where the amounts and rates of material anabolism decrease with changes in distance to the central business district (CBD) and city administration center (CAC). The cumulative metabolic rate and cumulative total metabolism were observed to be increasing, however, the growth rate has decreased.

scholarly journals Applications of GIS and Very High-Resolution RS Data for Urban Land Use Change Studies in Mongolia

2011 ◽  
Vol 2011 ◽  
pp. 1-8 ◽  
Author(s):  
D. Amarsaikhan ◽  
V. Battsengel ◽  
E. Egshiglen ◽  
R. Gantuya ◽  
D. Enkhjargal
Keyword(s):  
Land Use ◽  
High Resolution ◽  
Land Use Change ◽  
Large Scale ◽  
Land Use Changes ◽  
Urban Land ◽  
Urban Land Use ◽  
Capital City ◽  
Geographical Information ◽  
Topographic Map

The aim of this study is to analyze the urban land use changes occurred in the central part of Ulaanbaatar, the capital city of Mongolia, from 1930 to 2008 with a 10-year interval using geographical information system (GIS) and very high-resolution remote sensing (RS) data sets. As data sources, a large-scale topographic map, panchromatic and multispectral Quickbird images, and TerraSAR synthetic aperture radar (SAR) data are used. The primary urban land use database is developed using the topographic map of the study area and historical data about buildings. To extract updated land use information from the RS images, Quickbird and TerraSAR images are fused. For the fusion, ordinary and special image fusion techniques are used and the results are compared. For the final land use change analysis and RS image processing, ArcGIS and Erdas imagine systems installed in a PC environment are used. Overall, the study demonstrates that within the last few decades the central part of Ulaanbaatar city is urbanized very rapidly and became very dense.

Predicting Urban Land Use Changes Using a CA–Markov Model

2014 ◽  
Vol 39 (7) ◽  
pp. 5565-5573 ◽  
Author(s):  
Jafar Nouri ◽  
Alireza Gharagozlou ◽  
Reza Arjmandi ◽  
Shahrzad Faryadi ◽  
Mahsa Adl
Keyword(s):  
Land Use ◽  
Markov Model ◽  
Land Use Changes ◽  
Urban Land ◽  
Urban Land Use
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