Exploring on the Eco-Climatic Effects of Land Use Changes in the Influence Area of the Yellow River Basin from 2000 to 2015

Chi, Qing; Zhou, Shenghui; Wang, Lijun; Zhu, Mengyao; Liu, Dandan; Tang, Weichao; Cui, Yaoping; Lee, Jay

doi:10.3390/land10060601

Cited by 16 publications

(6 citation statements)

References 27 publications

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“…The YRB spans the three geographical steps of China, with high and low terrain in the west and east, respectively. It is an important ecological corridor connecting the Qinghai-Tibet Plateau, Loess Plateau, and Yellow-Huai-Hai Plain [48]. It is an important ecological region in China [49].…”

Section: Study Areamentioning

confidence: 99%

Multi-Scenario Simulation of Land Use Changes with Ecosystem Service Value in the Yellow River Basin

Lou

Yang

Zhang

et al. 2022

Land

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Land use change plays a crucial role in global environmental change. Understanding the mode and land use change procedure is conducive to improving the quality of the global eco-environment and promoting the harmonized development of human–land relationships. Large river basins play an important role in areal socioeconomic development. The Yellow River Basin (YRB) is an important ecological protective screen, economic zone, and major grain producing area in China, which faces challenges with respect to ecological degradation and water and sediment management. Simulating the alterations in ecosystem service value (ESV) owing to land use change in the YRB under multiple scenarios is of great importance to guaranteeing the ecological security of the basin and improve the regional ESV. According to the land use data of 1990, 2000, 2010, and 2018, the alterations in the land use and ESV in the YRB over the past 30 years were calculated and analyzed on the basis of six land use types: cultivated land, forestland, grassland, water area, built-up land, and unused land. The patch-generating land use simulation (PLUS) model was used to simulate the land use change in the study area under three scenarios (natural development, cultivated land protection, and ecological protection in 2026); estimate the ESV under each scenario; and conduct a comparative analysis. We found that the land use area in the YRB changed significantly during the study period. The ESV of the YRB has slowly increased by ~USD 15 billion over the past 30 years. The ESV obtained under the ecological protection scenario is the highest. The simulation of the YRB’s future land use change, and comparison and analysis of the ESV under different scenarios, provide guidance and a scientific basis for promoting ecological conservation and high-quality development of river basins worldwide.

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Section: Study Areamentioning

confidence: 99%

Multi-Scenario Simulation of Land Use Changes with Ecosystem Service Value in the Yellow River Basin

Lou

Yang

Zhang

et al. 2022

Land

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“…Thus, when less energy is used to heat the atmosphere and surface temperature, it corresponds to a cooling feedback or a weak warming feedback. Conversely, lower values of LE − R net equate to a stronger warming feedback [1,7]. The basic research framework is shown in Figure 4.…”

Section: Datasetmentioning

confidence: 99%

“…The process of surface energy exchange is closely related to solar radiation, ecological change and human activities. The influence of these natural and man-made factors on climate change is mainly realized by the change of surface radiation and energy balance [1]. As a major human activity, land use and land cover change (LUCC) can influence ecological climate through biogeochemical processes [2,3], which is one of the driving forces of regional and global climate change [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Quantifying the Contribution of LUCC to Surface Energy Budget: A Case Study of Four Typical Cities in the Yellow River Basin in China

et al. 2021

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With social changes and economic development, human activities inevitably lead to significant changes in land use types. Land use and land cover change (LUCC) leads to a series of changes in energy balance and surface temperature, which has an impact on the regional climate. In this study, MODIS remote sensing data were used to quantify the results of the biological and geophysical effects caused by LUCC in four typical cities in the Yellow River Basin of China: Jinan, Zhengzhou, Lanzhou and Xining. The results showed the following: (1) The latent heat flux and the net radiation of the four cities were both increasing on the whole. The latent heat flux of water and forest was higher, which played a key role in energy consumption on the ground. The net radiation value of the old urban and urban expansion areas was higher, while that of the forest was lower, which indicated that human activities increased the input of surface energy. (2) The differences between latent heat flux and net radiation in areas greatly affected by human activities were much smaller than those in natural areas such as forest and grassland. This indicted that human activities increased the warming trend. In addition, most of the differences between latent heat flux and net radiation in the four cities showed a downward trend. (3) Different cities have different regulating factors for land surface temperature (LST). In Jinan and Zhengzhou, the regulation of LST by net radiation was more obvious, while in Lanzhou and Xining, the regulation of LST by latent heat flux was more pronounced. By comparing LUCC and the forced balance between energy intake and consumption in four typical cities along the Yellow River Basin, this study emphasizes the difference of energy budgets under different land use types, which has important reference value for judging the spatial difference of urban thermal environments.

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“…Accelerated urbanization and rapid population growth have exacerbated regional land use changes, which have a key role to play in the problems of climate change and landscape fragmentation [5][6][7]. Land use is considered to be one of Land 2024, 13, 278 2 of 18 the activities by which humans exert the greatest influence on the Earth's land surface, with significant impacts on landscape ecosystems [8,9]. Types of land use form the basic structural units of landscape ecosystems, and the structural stability and functionality of landscapes are considered fundamental to maintaining the continued survival and development of human society [10].…”

Section: Introductionmentioning

confidence: 99%

Quantifying Spatiotemporal Characteristics and Identifying Influential Factors of Ecosystem Fragmentation in Karst Landscapes: A Comprehensive Analytical Framework

Wu,

Zhou,

Zhu

et al. 2024

Land

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Guanling-Zhenfeng County, a microcosm of the ecologically fragile karst area in southwest China, experiences rapid population growth and urban expansion which intensifies land use transformation and ecological landscape fragmentation. Exploring the spatiotemporal characteristics of landscape fragmentation and its causes in Guanling-Zhenfeng County is of great significance in maintaining the stability of the ecosystem and ecological protection in karst areas. In this study, a comprehensive landscape fragmentation index (FI), geographic probe, multi-scale geographically weighted regression (MGWR), and PLUS model were used to quantitatively explore the spatiotemporal characteristic heterogeneity, causes, and future scenario projections of landscape fragmentation in Guanling-Zhenfeng County from 2000 to 2020. The results showed that: (1) the distribution of each landscape index was characterized by obvious spatial differentiation. Among them, the spatial distribution trends of patch density (PD) and largest patch index (LPI) were opposite and the distribution trends of Shannon diversity index (SHDI) and Shannon evenness index (SHEI) were similar. There were fewer heterogeneous patches in the study area from 2000 to 2020, and the landscape shape was more regular and less fragmented. (2) The overall landscape fragmentation in Guanling-Zhenfeng County from 2000 to 2020 was dominated by moderate fragmentation, with the smallest percentage of extreme fragmentation, and heavy fragmentation was mainly distributed in the north-central part of the study area. (3) Natural and social factors jointly affect the landscape fragmentation in Guanling-Zhenfeng County, and there is a significant interactive enhancement effect among the factors, with population density being the most important influence factor. In addition, the effects of the factors on landscape fragmentation showed significant spatial non-stationarity. (4) The characteristics of landscape fragmentation changes in Guanling-Zhenfeng County under different scenarios varied significantly, with the largest percentage of increase in heavy landscape fragmentation under the business-as-usual scenario (BAU), the next under the land use planning scenario (LUP), and the smallest under the ecological protection scenario (ESP).

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Exploring on the Eco-Climatic Effects of Land Use Changes in the Influence Area of the Yellow River Basin from 2000 to 2015

Cited by 16 publications

References 27 publications

Multi-Scenario Simulation of Land Use Changes with Ecosystem Service Value in the Yellow River Basin

Multi-Scenario Simulation of Land Use Changes with Ecosystem Service Value in the Yellow River Basin

Quantifying the Contribution of LUCC to Surface Energy Budget: A Case Study of Four Typical Cities in the Yellow River Basin in China

Quantifying Spatiotemporal Characteristics and Identifying Influential Factors of Ecosystem Fragmentation in Karst Landscapes: A Comprehensive Analytical Framework

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