This page has only limited features, please log in for full access.
Identifying the multi-scale spatial relationship between land use and water quality is critical for determining the priorities and key areas of river management. To more accurately identify the scale effect of land-use patterns on water quality and quantitatively distinguish the difference in the impacts of land-use composition and configuration on water quality, we used 94 sites to extract the upstream catchment and riparian buffer zone with different widths. The results showed that the ability of land use variables with different buffer widths to explain water quality differed slightly from the ability of these variables at the catchment scale, and the joint explanatory ability of land use composition and configuration was greater than that of each individually. The patch density and landscape shape index of cultivated land, shrubland, and built-up land in the buffer area close to the water bodies were the main factors for the increase in the concentration of total nitrogen, nitrate nitrogen, total phosphorus, and suspended solids. As the width of the buffer increased, the role of the percent of land use increased. Our research indicates that water quality management needs to adopt a multi-scale perspective and focus on key local areas while coordinating at a broader scale.
Minmin Song; Yuan Jiang; Qi Liu; Yulu Tian; Yang Liu; Xia Xu; Muyi Kang. Catchment versus Riparian Buffers: Which Land Use Spatial Scales Have the Greatest Ability to Explain Water Quality Changes in a Typical Temperate Watershed? Water 2021, 13, 1758 .
AMA StyleMinmin Song, Yuan Jiang, Qi Liu, Yulu Tian, Yang Liu, Xia Xu, Muyi Kang. Catchment versus Riparian Buffers: Which Land Use Spatial Scales Have the Greatest Ability to Explain Water Quality Changes in a Typical Temperate Watershed? Water. 2021; 13 (13):1758.
Chicago/Turabian StyleMinmin Song; Yuan Jiang; Qi Liu; Yulu Tian; Yang Liu; Xia Xu; Muyi Kang. 2021. "Catchment versus Riparian Buffers: Which Land Use Spatial Scales Have the Greatest Ability to Explain Water Quality Changes in a Typical Temperate Watershed?" Water 13, no. 13: 1758.
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.
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 StyleXia 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 StyleXia 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.
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.
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 StyleXia 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 StyleXia 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.
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.
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 StyleHonglei 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 StyleHonglei 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.
As a result of climate change and human activities over the past century, grassland degradation has a profound impact on the carbon storage process. We aimed to research the effects of grassland degradation on plant and soil features and soil carbon emission rate. The carbon content decreased in the leaves but increased in the roots as the degradation gradient increased. The net ecosystem exchange was -8.29 μmol.m−2.s−1, -3.14 μmol.m−2.s−1 and -1.57 μmol.m−2.s−1 in LD (light degradation), MD (moderate degradation) and SD (severe degradation) grassland, respectively. The carbon emission rate (7.22, 6.56 and 4.22 μmol.m−2.s−1) decreased significantly as the degradation grade increased.
Xia Xu; Honglei Jiang; Xiaoyu Tian; Mengxi Guan; Lingfei Wang. Response of the Plant and Soil Features to Degradation Grades in Semi-arid Grassland of the Inner Mongolia, China. IOP Conference Series: Materials Science and Engineering 2019, 484, 012039 .
AMA StyleXia Xu, Honglei Jiang, Xiaoyu Tian, Mengxi Guan, Lingfei Wang. Response of the Plant and Soil Features to Degradation Grades in Semi-arid Grassland of the Inner Mongolia, China. IOP Conference Series: Materials Science and Engineering. 2019; 484 (1):012039.
Chicago/Turabian StyleXia Xu; Honglei Jiang; Xiaoyu Tian; Mengxi Guan; Lingfei Wang. 2019. "Response of the Plant and Soil Features to Degradation Grades in Semi-arid Grassland of the Inner Mongolia, China." IOP Conference Series: Materials Science and Engineering 484, no. 1: 012039.
With rapid economic development and urbanization, land use in China has experienced huge changes in recent years; and this will probably continue in the future. Land use problems in China are urgent and need further study. Rapid land-use change and economic development make China an ideal region for integrated land use change studies, particularly the examination of multiple factors and global-regional interactions in the context of global economic integration. This paper presents an integrated modeling approach to examine the impact of global socio-economic processes on land use changes at a regional scale. We develop an integrated model system by coupling a simple global socio-economic model (GLOBFOOD) and regional spatial allocation model (CLUE). The model system is illustrated with an application to land use in China. For a given climate change, population growth, and various socio-economic situations, a global socio-economic model simulates the impact of global market and economy on land use, and quantifies changes of different land use types. The land use spatial distribution model decides the type of land use most appropriate in each spatial grid by employing a weighted suitability index, derived from expert knowledge about the ecosystem state and site conditions. A series of model simulations will be conducted and analyzed to demonstrate the ability of the integrated model to link global socioeconomic factors with regional land use changes in China. The results allow an exploration of the future dynamics of land use and landscapes in China.
Xia Xu; Qiong Gao; Changhui Peng; Xuefeng Cui; Yinghui Liu; Li Jiang. Integrating global socio-economic influences into a regional land use change model for China. Frontiers of Earth Science 2014, 8, 81 -92.
AMA StyleXia Xu, Qiong Gao, Changhui Peng, Xuefeng Cui, Yinghui Liu, Li Jiang. Integrating global socio-economic influences into a regional land use change model for China. Frontiers of Earth Science. 2014; 8 (1):81-92.
Chicago/Turabian StyleXia Xu; Qiong Gao; Changhui Peng; Xuefeng Cui; Yinghui Liu; Li Jiang. 2014. "Integrating global socio-economic influences into a regional land use change model for China." Frontiers of Earth Science 8, no. 1: 81-92.
This paper describes the scaling up to a day scale of the Ryel hour scale model incorporating the process of hydraulic redistribution (HR). The Ryel model was applied to the Inner Mongolia Huangfuchuan basins to analyze transpiration, evaporation and stomatal conductance of Artemisia tridentate, and to indicate the added value of the feedback by comparing simulations with and without incorporating HR. Five climate scenarios were designed based on 40-y continuous climate data from the study area and the response of HR to the different climate scenarios was modeled. Under 1991 climate conditions, cumulative transpiration and evaporation with HR during the growing season were 161.7 mm and 206.14 mm, respectively, compared with transpiration of 140.7 mm and evaporation of 174.2 mm without HR. Under the five different climate change scenarios, HR influenced evaporation more than transpiration. The effect of HR on transpiration, evaporation and stomatal conductance was very different among the scenarios. Inclusion of HR gave rise to the largest increase in transpiration and evaporation under the T2P0 scenario and the smallest under the T2P2 scenario, but transpiration and evaporation decreased under the T0P-2 scenario. Stomatal conductance significantly increased with the inclusion of HR. The model used in this study has potential benefits for incorporating HR into soil processes, such as water movement and mass transfer.
Kun Wang; Xia Xu; Qiong Gao. Hydraulic redistribution in the Inner Mongolia Huangfuchuan basins under different climate scenarios. Frontiers of Earth Science in China 2010, 4, 269 -276.
AMA StyleKun Wang, Xia Xu, Qiong Gao. Hydraulic redistribution in the Inner Mongolia Huangfuchuan basins under different climate scenarios. Frontiers of Earth Science in China. 2010; 4 (3):269-276.
Chicago/Turabian StyleKun Wang; Xia Xu; Qiong Gao. 2010. "Hydraulic redistribution in the Inner Mongolia Huangfuchuan basins under different climate scenarios." Frontiers of Earth Science in China 4, no. 3: 269-276.
This paper describes the development of a land use model coupling ecosystem processes. For a given land use pattern in a region, a built-in regional ecosystem model (TESim) simulates leaf physiology of plants, carbon and nitrogen dynamics, and hydrological processes including runoff generation and run-on re-absorption, as well as runoff-induced soil erosion and carbon and nitrogen loss from ecosystems. The simulation results for a certain period from 1976 to 1999 were then used to support land use decisions and to assess the impacts of land use changes on environment. In the coupling model, the land use type for a land unit was determined by optimization of a weighted suitability derived from expert knowledge about the ecosystem state and site conditions. The model was applied to the temperate crop-pasture band in northern China (CCPB) to analyze the interactions between land use and major ecosystem processes and functions and to indicate the added value of the feedbacks by comparing simulations with and without the coupling and feedbacks between land use module and ecosystem processes. The results indicated that the current land use in CCPB is neither economical nor ecologically judicious. The scenario with feedbacks increased NPP by 46.78 g C m−2 a−1, or 32.23% of the scenario without feedbacks, also decreased soil erosion by 0.65 kg m−2 a−1, or 23.13%. Without altering the regional land use structure (proportions of each land use type). The system developed in this study potentially benefits both land managers and researchers.
Xia Xu; Qiong Gao; Ying-Hui Liu; Jing-Ai Wang; Yong Zhang. Coupling a land use model and an ecosystem model for a crop-pasture zone. Ecological Modelling 2009, 220, 2503 -2511.
AMA StyleXia Xu, Qiong Gao, Ying-Hui Liu, Jing-Ai Wang, Yong Zhang. Coupling a land use model and an ecosystem model for a crop-pasture zone. Ecological Modelling. 2009; 220 (19):2503-2511.
Chicago/Turabian StyleXia Xu; Qiong Gao; Ying-Hui Liu; Jing-Ai Wang; Yong Zhang. 2009. "Coupling a land use model and an ecosystem model for a crop-pasture zone." Ecological Modelling 220, no. 19: 2503-2511.