scholarly journals Multidimensional Analysis of the Spatiotemporal Variations in Ecological, Production and Living Spaces of Inner Mongolia and an Identification of Driving Forces

2020 ◽  
Vol 12 (19) ◽  
pp. 7964
Author(s):  
Zhenhua Dong ◽  
Jiquan Zhang ◽  
Alu Si ◽  
Zhijun Tong ◽  
Li Na
Keyword(s):  
Land Use ◽  
Inner Mongolia ◽  
Driving Forces ◽  
Evaluation Index System ◽  
Multidimensional Analysis ◽  
National Standard ◽  
Land Use Classification ◽  
Coordinated Development ◽  
Difficult Challenge ◽  
Space Production

There is increasing focus on the difficult challenge of realizing coordinated development of production, living and ecological spaces within the regional development process. An ecological–production–living space evaluation index system was established in this study based on the concept of ecological, production and living spaces (EPLSs), the relationship between land use function and land use type and the national standard of land use classification. The aim of this study was to reveal the driving forces and patterns of variation in EPLSs in Inner Mongolia from 1990 to 2015. The results indicated that Inner Mongolia is mainly dominated by ecological space, followed by production space. Production and living spaces are mainly distributed to the south of the Greater Hinggan–Yinshan–Helan mountain ranges. Spatial changes in EPLSs were accelerated with prominent regional differences, with declining ecological area and increasing living and production spaces. Regional urbanization and industrialization were identified as the driving forces for change in EPLS in Inner Mongolia. It is hoped that the findings of this study can provide rational guidance for management of land use and coordinated development of EPLSs within Inner Mongolia.

Grassland dynamics in response to climate change and human activities in Inner Mongolia, China between 1985 and 2009

2013 ◽  
Vol 35 (3) ◽  
pp. 315 ◽  
Author(s):  
S. J. Mu ◽  
Y. Z. Chen ◽  
J. L. Li ◽  
W. M. Ju ◽  
I. O. A. Odeh ◽  
...  
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Ecological Restoration ◽  
Human Activities ◽  
Inner Mongolia ◽  
Management Practices ◽  
Net Primary Productivity ◽  
Temporal Dynamics ◽  
Driving Forces ◽  
Landscape Patterns

China’s grassland has been undergoing rapid changes in the recent past owing to increased climate variability and a shift in grassland management strategy driven by a series of ecological restoration projects. This study investigated the spatio-temporal dynamics of Inner Mongolia grassland, the main grassland region in China and part of the Eurasia Steppe, to detect the interactive nature of climate, ecosystems and society. Land-use and landscape patterns for the period from 1985 to 2009 were analysed based on TM- and MODIS-derived land-use data. Net Primary Productivity (NPP) estimated by using the Carnegie-Ames-Stanford Approach model was used to assess the growth status of grassland. Furthermore, the factors related to the dynamics of grassland were analysed from the perspectives of two driving factors, climate change and human activities. The results indicated that higher temperatures and lower precipitation may generally have contributed to grassland desertification, particularly in arid regions. During the period from 1985 to 2000, a higher human population and an increase in livestock numbers were the major driving forces responsible for the consistent decrease in NPP and a relatively fragmented landscape. From 2000 to 2009, the implementation of effective ecological restoration projects has arrested the grassland deterioration in some ecologically fragile regions. However, a rapid growth of livestock numbers has sparked new degradation onnon-degraded or lightly degraded grassland, which was initially neglected by these projects. In spite of some achievement in grassland restoration, China should take further steps to develop sustainable management practices for climate adaptation and economic development to bring lasting benefits.

scholarly journals Spatiotemporal Variations of Land Use/Cover Changes in Inner Mongolia (China) during 1980–2015

2018 ◽  
Vol 10 (12) ◽  
pp. 4730 ◽  
Author(s):  
Siqin Tong ◽  
Zhenhua Dong ◽  
Jiquan Zhang ◽  
Yongbin Bao ◽  
Ari Guna ◽  
...  
Keyword(s):  
Land Use ◽  
Inner Mongolia ◽  
Environmental Changes ◽  
Land Use Changes ◽  
Land Use Classification ◽  
High Coverage ◽  
Land Use Types ◽  
Before And After ◽  
Variation Rate

Land use/cover change (LUCC) is one of the major environmental changes and has become a hot topic in the study of global change. Based on four land use classification maps, this study used the intensity analysis method to quantitatively monitor the land use changes which occurred in Inner Mongolia during 1980–2015. The results showed that changes occurred although the trends of corresponding land use types were different (increase or decrease), and the land use changes had an obvious increasing or decreasing trend before and after 2000, respectively. Generally, woodland, high-coverage grassland, and moderate-coverage grassland decreased and the other land use types increased during 1980–2015. In addition, the changes had great differences in spatial distribution. The area of grassland had the largest decrease, indicating that the quality of grassland has declined in Inner Mongolia. The variation rate of land use in 1980–1990 was faster than the rates in 1990–2000 and 2000–2015.

scholarly journals Extraction and Spatio-Temporal Analysis of Impervious Surfaces over Dongying Based on Landsat Data

2021 ◽  
Vol 13 (18) ◽  
pp. 3666
Author(s):  
Jiaqi Shen ◽  
Yanmin Shuai ◽  
Peixian Li ◽  
Yuxi Cao ◽  
Xianwei Ma
Keyword(s):  
Land Use ◽  
Large Scale ◽  
Driving Forces ◽  
Temporal Analysis ◽  
Scientific Basis ◽  
Physical Geography ◽  
Urban Land Use ◽  
Land Use Classification ◽  
Landsat Images ◽  
Intensity Index

It is necessary to understand the relationship between the impervious surface area (ISA) distribution, variation trends and potential driving forces over Dongying, Shandong Province. We extracted ISA information from Landsat images with 3–5 year intervals during 1995 to 2018 using Minimum Noise Fraction (MNF) transform, Pixel Purity Index (PPI), and Linear Spectral Mixture Analysis (LSMA), followed by the analysis on three driving forces of ISA expansion (physical geography, socioeconomic factors, and urban cultural features). Our results show the retrieved ISA thematic map fit the limited requirement of root mean square error (RMSE). The correct classification accuracy of ISA is greater than 83.08%. Further, the cross–comparison exhibits the general consistent with the ISA distribution of the land use classification map published by the National Basic Geographic Information Center. The gradual increasing trend can be captured on the expansion of ISA from 1995 to 2018. Despite of the central region always shown as the high ISA density, it still keeps increasing annually and radiating the surrounding region, especially in the southward which has formed into a new large–scale and high intensity of ISA in 2015–2018. Though the ISA patches scattered in the west region or along the northern and eastern part of the ocean coastline are still small, the expansion trend of ISA can be detected. The expansion intensity index (EII) of ISA measuring the situation of its expansion changes from the lowest value 0.12% between 1995 and 2000 up to the highest 0.73% between 2000 and 2005. Richly endowed by nature, the city’s natural geographical environment provides an elevated chance of further urbanization. The rapid increase of regional economy provides a fundamental driving force for expanding ISAs. The development of urban culture promotes the sustainable development of ISAs. Our results provide a scientific basis for future urban land use management, construction planning, and environmental protection in Dongying.

scholarly journals Analisis Perubahan Penggunaan Lahan Sawah dari Tahun 2008 – 2018

LaGeografia ◽  
2021 ◽  
Vol 19 (3) ◽  
pp. 302
Author(s):  
Yurin Bangun ◽  
Bistok Hasiholan Simanjuntak ◽  
Alfred Jansen Sutrisno
Keyword(s):  
Land Use ◽  
Image Interpretation ◽  
Rate Of Change ◽  
National Standard ◽  
Likelihood Method ◽  
Research Approach ◽  
Land Use Classification ◽  
The People ◽  
Paddy Land ◽  
The Stability

Paddy field is a natural resource and have an important role in maintaining the stability of the community's food (rice) production. Banyubiru District is one of the biggest contributors in supplying the rice needs of the people in Semarang Regency. So that the research aims to identify the extent and rate of change in the use of rice fields from 2008 to 2018 in Banyubiru District. The research approach used is based on geographic information systems in analyzing satellite images. The satellite imagery used is multi-resolution imagery such as Landsat 5 TM in 2008, Worldview-2 in 2013, and SPOT 6 in 2018. Image interpretation uses a pixel-based classification method with the maximum likelihood method and on-screen digitization found in ENVI 5.3 and ArcGis software. 10.8. The land use classification system used refers to following the Indonesian National Standard 7654: 201. The results of the study explained that there had been a change in the area of paddy land use in the Banyubiru District from 2008 to 2013 of 68 ha and from 2013 to 2018 of 65 ha. In addition, the rate of land use change from 2008 to 2018 was 14.78 ha / year, so this event can be categorized as a class of rapid land change rate.

scholarly journals Production–Living–Ecological Conflict Identification Using a Multiscale Integration Model Based on Spatial Suitability Analysis and Sustainable Development Evaluation: A Case Study of Ningbo, China

Land ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 383
Author(s):  
Gang Lin ◽  
Jingying Fu ◽  
Dong Jiang
Keyword(s):  
Land Use ◽  
Sustainable Development ◽  
Urban Expansion ◽  
Evaluation Index System ◽  
Suitability Analysis ◽  
Ecological Value ◽  
Coordinated Development ◽  
Integration Model ◽  
Land Use Conflicts ◽  
Administrative Unit

Production–living–ecological space (PLES) basically covers the scope of spatial activities in people’s material production and spiritual life and is the basic carrier of human social development and economic activities. The coordinated development of PLES is an effective method to mitigate land-use conflicts to achieve balanced and coordinated development of the region. However, so far, compared with the single-scale study based on administrative unit, the PLES conflicts between microcosmic grid-scale receives less attention. Considering the important scale problems of the geographical study, this study aims to analyze the synergetic degree of PLES under different scales (administrative-unit, grid, and integrated multiscale) and to scientifically diagnose land use conflicts in Ningbo, China. Results indicated that production land and ecological land in Ningbo were continuously occupied by human activities from 2010 to 2018. The lowest and lower suitability areas of ecological space in Ningbo increased from 2010 to 2018. Land ecological suitability was seriously affected by urban expansion, its ecological value was reduced, and the PLES developed towards the trend of being uncoordinated. Multiscale coupling analysis showed that the PLES in Ningbo was in less conflict on the whole, but with the development of the economy, the coupling coordination degree of PLES was also damaged. This study establishes the different scales of a PLES coupling coordination development degree evaluation index system and enriches the methods of multiscale land use fusion conflict diagnosis and also provides a scientific reference for the optimized and sustainable development of regional territorial space.

Changes and driving forces of land use/cover and landscape patterns in Beijing-Tianjin-Hebei region

2012 ◽  
Vol 19 (5) ◽  
pp. 1182-1189 ◽  
Author(s):  
Qiao-Li HU ◽  
Yong-Qing QI ◽  
Yin-Cui HU ◽  
Yu-Cui ZHANG ◽  
Cheng-Ben WU ◽  
...  
Keyword(s):  
Land Use ◽  
Driving Forces ◽  
Landscape Patterns

scholarly journals The Spatio-Temporal Analysis of Urban-Rural Coordinated Development and Its Driving Forces in Yangtze River Delta

Land ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 495
Author(s):  
Daizhong Tang ◽  
Mengyuan Mao ◽  
Jiangang Shi ◽  
Wenwen Hua
Keyword(s):  
Influencing Factors ◽  
Yangtze River ◽  
Driving Forces ◽  
Yangtze River Delta ◽  
River Delta ◽  
Urban Agglomeration ◽  
System Level ◽  
Actual State ◽  
Coordinated Development ◽  
Urban Rural

This paper conducts an analytical study on the urban-rural coordinated development (URCD) in the Yangtze River Delta urban agglomeration (YRDUA), and uses data from 2000–2015 of 27 central cities to study the spatial and temporal evolution patterns of URCD and to discover the influencing factors and driving forces behind it through PCA, ESDA and spatial regression models. It reveals that URCD of the YRDUA shows an obvious club convergence phenomenon during the research duration. The regions with high-level URCD gather mainly in the central part of the urban agglomeration, while the remaining regions mostly have low-level URCD, reflecting the regional aggregation phenomenon of spatial divergence. At the same time, we split URCD into efficiency and equity: urban-rural efficient development (URED) also exhibits similar spatiotemporal evolution patterns, but the patterns of urban-rural balanced development (URBD) show some variability. Finally, by analyzing the driving forces in major years during 2000–2015, it can be concluded that: (i) In recent years, influencing factors such as government financial input and consumption no longer play the main driving role. (ii) Influencing factors such as industrialization degree, fixed asset investment and foreign investment even limit URCD in some years. The above results also show that the government should redesign at the system level to give full play to the contributing factors depending on the actual state of development in different regions and promote the coordinated development of urban and rural areas. The results of this study show that the idea of measuring URCD from two dimensions of efficiency and equity is practical and feasible, and the spatial econometric model can reveal the spatial distribution heterogeneity and time evolution characteristics of regional development, which can provide useful insights for urban-rural integration development of other countries and regions.

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