Trade-offs/Synergies in Land-use Function Changes in Central China from 2000 to 2015

Abstract

To solve the problems caused by irrational land-use, studying the functions of land-use, its changing characteristics, and the relationship between each land-use function will be beneficial for achieving sustainable land development. In this research, we constructed an evaluation framework of multiple land-use functions (LUFs) based on sustainable land-use theory. Specifically,, we classified the multiple LUFs into three types: agricultural production function (APF), living function (LVF), and ecological service function (ESF). We then spatialized the economic and social data, and implemented the InVEST (Integrated Valuation of Ecosystem Services and Tradeoffs) model and RUSLE (Revised Universal Soil Loss Equation) model to evaluate each sub-LUF (crop production, aquatic production, woodlands production, livestock production, living space, life quality, water supply, soil conservation, climate regulation, biological conservation) in central China in 2000 and again in 2015. Moreover, by analyzing the changes to LUFs and the relationships between each LUF change, we were able to discern patterns of LUF change in central China. The results show that: 1) 42.12% of total territory in the study area increased their APF from 2000 to 2015, while 43.41% of the lands increased their ESF yet only 8.98% of the lands increased their LVF; 2) in Hubei and Hunan, there was more land with an increase of APF than in Anhui or Jiangxi. The APF in Jiangxi exhibited the greatest decline over time period, the LVF increased more in the provincial capital cities than in other regions, and the ESF expanded more in Jiangxi than in the other provinces; and 3) the changes in APF were significantly and positively correlated with changes in LVF. Additionally, changes in ESF were negatively but non-significantly correlated with changes in APF and LVF.

Analysis of Spatial and Temporal Pattern Evolution and Decoupling Relationships of Land Use Functions Based on Ecological Protection and High-Quality Development: A Case Study of the Yellow River Basin, China

“…The distribution of the land's productivity, habitation, and ecological functions was calculated using the global Moran's indicator and a cold/hot spot analysis (Figure 6). The calculation results of the global Moran's I index confirm that the three have obvious positive spatial correlation [50], i.e., a strong interaction of adjacent units and agglomerative spatial phenomena. Specifically analyzing the spatial cold and hot spots of each secondary index, the hot spots of the agricultural production function are located in most cities in Shandong Province, and the cold spots are located in Taiyuan City and the surrounding cities; there are two hot spots of the economic development function, namely, the city cluster around Jinan City in Shandong Province and the city cluster around Zhengzhou City in Henan Province, and the cold spots are the areas centered on Baiyin City, Guyuan City, and Pingliang City in the west; the traffic carrying the hot spots of ecological regulation function are located in Tianshui City, Longnan City, and the nearby cities, as well as four cities in the heart of the province of Shanxi, and the cold spots are located in most cities in the Yellow River's lower reaches in the southeastern part of the study area; the research area's south contains the hotspots for landscape conservation function, and the cold spots are five cities on the border between the provinces of Henan and Shandong.…”

“…Based on the principles of comprehensiveness, representativeness, scientificity, and accessibility, the multifunctional land evaluation index system of the YRB was constructed with reference to the existing research results (Table 2), taking into account the land use characteristics of the study area [50][51][52][53][54].…”

Evolution of Ecological Patterns of Poyang Lake Wetland Landscape over the Last One Hundred Years Based on Historical Topographic Maps and Landsat Images

“…On the one hand, the main lake area of Poyang Lake was cut by polders, and on the other hand, various artificial wetlands appeared in non-main lake areas such as the southeast of the study area due to agricultural and urbanization. A large number of related studies have shown that [44,59], since the 1980s, natural wetlands have decreased in cities and their surrounding areas, artificial wetlands have increased, patches are fragmented, and the connectivity between water bodies has decreased. In addition, the main drivers of this change are population growth and rapid urban development.…”

Valuating Multifunctionality of Land Use for Sustainable Development: Framework, Method, and Application

“…The goods and services can be identified and assessed based on land use and statistical data, with the consideration that different land uses have heterogenous types and intensities of functions. Related studies have emerged in recent years and become one of the frontiers in land system science [4][5][6].…”