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Honglei Jiang
Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

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Journal article
Published: 25 September 2020 in Applied Sciences
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Assessing the effects of future land use and land cover change (LULC) on ecological processes and functions is crucial for improving regional sustainability in arid and semiarid areas. Taking the Agro-Pastoral Transitional Zone of Northern China (APTZNC) as an example, four IPCC Special Report on Emissions Scenarios scenarios (Scenario of economic emphasis on a regional scale (A1B), Scenario of economic emphasis on a global scale (A2), Scenario of environmental protection on a regional scale (B1), Scenario of environmental protection on a global scale (B2)) were adopted in the study to analyze the influence of the future land use and land cover change on the net primary production (NPP), soil organic matter (SOM), soil total nitrogen (TN), and soil erosion (ERO) using the model of Terrestrial Ecosystem Simulator-Land use/land cover model (TES-LUC) linking ecological processes and land-use change dynamics. The results were analyzed from the perspectives of LULC components, LULC conversions, and landscape patterns under the four scenarios. The main results include the following: (1) Environmentally oriented scenarios (A1B and B1) experienced the conservation of forest and grassland; economically oriented scenarios (A2 and B2) were characterized by significant loss of natural land covers and expansion of agricultural and urban land uses. (2) The NPP and soil nutrients are the highest while the ERO is the lowest in the woodland; the trend in cultivated land is opposite to that in woodland; the grassland ecosystem function is relatively stable and could make an important contribution to effectively mitigate global climate change. (3) The general trend in NPP, SOM, and TN under the four scenarios is B1 > A1B > baseline (2010) > B2 > A2, and that in ERO is A2 > B2 > baseline (2010) > A1B > B1. (4) Trade-offs between ecosystem functions and the ecological effects of LULC can be evaluated and formulated into decision-making.

ACS Style

Xia Xu; Honglei Jiang; Lingfei Wang; Mengxi Guan; Tong Zhang; Shirong Qiao. Major Consequences of Land-Use Changes for Ecosystems in the Future in the Agro-Pastoral Transitional Zone of Northern China. Applied Sciences 2020, 10, 6714 .

AMA Style

Xia Xu, Honglei Jiang, Lingfei Wang, Mengxi Guan, Tong Zhang, Shirong Qiao. Major Consequences of Land-Use Changes for Ecosystems in the Future in the Agro-Pastoral Transitional Zone of Northern China. Applied Sciences. 2020; 10 (19):6714.

Chicago/Turabian Style

Xia Xu; Honglei Jiang; Lingfei Wang; Mengxi Guan; Tong Zhang; Shirong Qiao. 2020. "Major Consequences of Land-Use Changes for Ecosystems in the Future in the Agro-Pastoral Transitional Zone of Northern China." Applied Sciences 10, no. 19: 6714.

Journal article
Published: 12 July 2020 in Science of The Total Environment
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Climate extremes have resulted in substantial vegetation changes in the marine-terrestrial transitional zone. As a climatically-sensitive region, coastal China is currently experiencing prominent environmental climate change. To identify how climatic extremes affect ecosystem function, we calculated eleven indices of climatic extremes and four mean indices for six sub-regions of coastal China. Deseasonalized thirty-year (1986–2015) net primary productivity (NPP) was used as an indicator of ecosystem productivity, and its relationships with the climate indices were investigated at multiple scales (annual and seasonal) explicitly. The results demonstrated that: (1) annual NPP indicated an overall greening trend (in 73.71% of the study area) and partial degradation (in 26.29% of the study area) over the last thirty decades years; (2) coastal areas had experienced warming overall, with higher increases in nighttime temperatures relative to daytime temperatures; (3) in southern areas, maximum/ minimum daily maximum temperature had driven increases in NPP, whereas in northern areas, this effect varied between vegetation types; (4) Diurnal temperature range (DTR) and NPP were negatively correlated in the north and positively correlated in the south; and (5) Maximum 1-day precipitation promoted vegetation production across the whole study area. Maximum 5-day precipitation promoted vegetation growth in the north but had the opposite effect in the south. Our study advances understanding of vegetation dynamics and its driving mechanisms, and provides support for scientifically informed ecological management practices in coastal China.

ACS Style

Xia Xu; Honglei Jiang; Mengxi Guan; Lingfei Wang; YongMei Huang; Yuan Jiang; Ailing Wang. Vegetation responses to extreme climatic indices in coastal China from 1986 to 2015. Science of The Total Environment 2020, 744, 140784 .

AMA Style

Xia Xu, Honglei Jiang, Mengxi Guan, Lingfei Wang, YongMei Huang, Yuan Jiang, Ailing Wang. Vegetation responses to extreme climatic indices in coastal China from 1986 to 2015. Science of The Total Environment. 2020; 744 ():140784.

Chicago/Turabian Style

Xia Xu; Honglei Jiang; Mengxi Guan; Lingfei Wang; YongMei Huang; Yuan Jiang; Ailing Wang. 2020. "Vegetation responses to extreme climatic indices in coastal China from 1986 to 2015." Science of The Total Environment 744, no. : 140784.

Journal article
Published: 19 November 2019 in Science of The Total Environment
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The vegetation in the agro-pastoral transitional zone of northern China (APTZNC) was significantly restored, and both climate change and ecological restoration projects contributed to vegetation activities with varied proportion. Since few decades ago, APTZNC has undergone significant land degradation and climate change, threatening regional sustainable development, and in response to such ecological crises, multiple ecological restoration projects were implemented, which have caused a profound impact on the terrestrial ecosystem. Taking agro-pastural transitional zone of northern China (APTZNC) as the study area, this study used 16-year (2000–2015) net primary productivity (NPP) as an important indicator of the arid and semi-arid ecosystem's productivity, combing meteorological data in same period to (1) monitor the vegetation dynamics affected by both climate and ecological restoration projects; (2) detect climate changing trend, including annual precipitation, air temperature, and sunlight hours; (3) explicitly distinguish driving forces of climate change and ecological restoration projects on vegetation dynamics based on correlation analysis. The results demonstrated that (1) the annual NPP indicated overall greening (48.77% significant restoration) and partial degradation (0.39% significant degradation) in APTZNC; (2) the annual precipitation was the main factor that widely influences vegetation growth, and the area with significant influence accounted for 55.53%; however, the area with significant temperature influence only accounted for 1%, and the area affected significantly by sunshine hours accounted for 14.33%; (3) In the area of significant greening with proportion of 48.77%, of 26.93% was related to climate change, of 19.80% was related to ecological conservation programs, and of 2.05% was related to multiple factors. In the significantly degraded area with proportion of 0.39%, of 0.1% is related to climate change and of 0.29% is abnormally degraded. Our study is expected to accelerate the understanding of vegetation dynamics and its driving mechanisms, and provide support for scientifically formulating and adjusting ecological restoration projects in APTZNC.

ACS Style

Honglei Jiang; Xia Xu; Mengxi Guan; Lingfei Wang; YongMei Huang; Yuan Jiang. Determining the contributions of climate change and human activities to vegetation dynamics in agro-pastural transitional zone of northern China from 2000 to 2015. Science of The Total Environment 2019, 718, 134871 .

AMA Style

Honglei Jiang, Xia Xu, Mengxi Guan, Lingfei Wang, YongMei Huang, Yuan Jiang. Determining the contributions of climate change and human activities to vegetation dynamics in agro-pastural transitional zone of northern China from 2000 to 2015. Science of The Total Environment. 2019; 718 ():134871.

Chicago/Turabian Style

Honglei Jiang; Xia Xu; Mengxi Guan; Lingfei Wang; YongMei Huang; Yuan Jiang. 2019. "Determining the contributions of climate change and human activities to vegetation dynamics in agro-pastural transitional zone of northern China from 2000 to 2015." Science of The Total Environment 718, no. : 134871.

Journal article
Published: 08 September 2019 in Sustainability
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Climatic, socio-economic, geophysical, and human activity factors, among others, influence land use patterns. However, these driving factors also have different relationships with each other. Combining machine learning methods and statistical models is a good way to simulate the dominant land use types. The Luan River basin is located in a farming-pastoral transitional zone and is an important ecological barrier between Beijing and Tianjin. In this study, we predicted future land use and land cover changes from 2010 to 2020 in the Luan River’s upper and middle reaches under three scenarios—the natural scenario, the ecological scenario, and the sustainable scenario. The results indicate that cultivated land will decrease while the forested areas will increase quantitatively in the future. Built-up areas would increase quickly in the natural scenario, and augmented expansion of forest would be the main features of land use changes in both the ecological scenario and the sustainable scenario. Regarding the spatial pattern, different land use patterns will be aggregated and patches will become larger. Our findings for the scenario analysis of land use changes can provide a reference case for sustainable land use planning and management in the upper and middle Luan River basin.

ACS Style

Xia Xu; Mengxi Guan; Honglei Jiang; Lingfei Wang. Dynamic Simulation of Land Use Change of the Upper and Middle Streams of the Luan River, Northern China. Sustainability 2019, 11, 4909 .

AMA Style

Xia Xu, Mengxi Guan, Honglei Jiang, Lingfei Wang. Dynamic Simulation of Land Use Change of the Upper and Middle Streams of the Luan River, Northern China. Sustainability. 2019; 11 (18):4909.

Chicago/Turabian Style

Xia Xu; Mengxi Guan; Honglei Jiang; Lingfei Wang. 2019. "Dynamic Simulation of Land Use Change of the Upper and Middle Streams of the Luan River, Northern China." Sustainability 11, no. 18: 4909.

Journal article
Published: 02 July 2019 in Sustainability
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Land use/land cover changes (LULCC) have been affected by ecological processes as well as socioeconomic and human activities, resulting in several environmental problems. The study of the human–environment system combined with land use/land cover dynamics has received considerable attention in recent decades. We aimed to provide an integrated model that couples land use, socioeconomic influences, and ecosystem processes to explore the future dynamics of land use under two scenarios in China. Under Scenario A, the yield of grain continues to increase, and under Scenario B, the yield of grain remains constant. This study created a LULCC model by integrating a simple global socioeconomic model, a Terrestrial ecosystem simulator (TESim), and a land use allocation model. The results were analyzed by comparing spatiotemporal differences under predicted land use conditions in the two alternative scenarios. The simulation results showed patterns that varied between the two scenarios. In Scenario A, grassland will expand in the future and a large reduction in cropland will be observed. In Scenario B, the augmented expansion of cropland and a drastic shrinkage of forest area will be the main land use conversion features. Scenario A is more promising because more land is preserved for ecological restoration and urbanization, which is in line with China’s Grain for Green Program. Economic development should be based on ecological protection. The results are expected to add insight to sustainable land use development and regional natural resource management in China.

ACS Style

Honglei Jiang; Xia Xu; Mengxi Guan; Lingfei Wang; YongMei Huang; Yinghui Liu. Simulation of Spatiotemporal Land Use Changes for Integrated Model of Socioeconomic and Ecological Processes in China. Sustainability 2019, 11, 3627 .

AMA Style

Honglei Jiang, Xia Xu, Mengxi Guan, Lingfei Wang, YongMei Huang, Yinghui Liu. Simulation of Spatiotemporal Land Use Changes for Integrated Model of Socioeconomic and Ecological Processes in China. Sustainability. 2019; 11 (13):3627.

Chicago/Turabian Style

Honglei Jiang; Xia Xu; Mengxi Guan; Lingfei Wang; YongMei Huang; Yinghui Liu. 2019. "Simulation of Spatiotemporal Land Use Changes for Integrated Model of Socioeconomic and Ecological Processes in China." Sustainability 11, no. 13: 3627.