关键词：
water storage;spatiotemporal change;driving factors;cryosphere;Three-River Headwaters Region
摘要：
Water storage (WS) is a crucial terrestrial ecosystems service function. In cold alpine regions (CAR), the cryosphere elements are important solid water resources, but the existing methods for quantitatively assessing WS usually ignore cryosphere elements. In this study, a revised Seasonal Water Yield model (SWY) in the Integrated Valuation of Ecosystem Services and Trade-offs (InVEST), which considers the effects of frozen ground (FG) and snow cover (SC) on WS, was employed to estimate the spatiotemporal distribution and changes in WS in the Three-Rivers Headwaters region (TRHR) from 1981 to 2020. Sensitivity analyses were conducted to understand the overall effects of multiple factors on WS, as well as the dominant driving factors of WS change at the grid scale in the TRHR. The results show that (1) the WS in the TRHR generally increased from 1981 to 2020 (0.56 mm/year), but the spatial distribution of WS change varied greatly, with a significant increasing trend in the northwest part and a significant decreasing trend in the southeast part. (2) In the last 40 years, increased precipitation (Pre) positively affected WS, while increased potential evapotranspiration (ET0) reduced it. Increased permeability caused by degradation of frozen ground increased WS, while snow cover and LULC changes reduced it. (3) In the TRHR, Pre primarily affected the WS with the largest area ratio (32.62%), followed by land use/land cover (LULC) (19.69%) and ET0 (18.49%), with FG being fourth (17.05%) and SC being the least (6.64%). (4) The highly important and extremely important zones generally showed a decreasing trend in WS and should be treated as key and priority conservation regions. It is expected that this research could provide a scientific reference for water management in the TRHR.
期刊：
Annals of the American Association of Geographers,2023年113(5):1190-1206 ISSN：2469-4452
作者机构：
[Wu, Bo; Yan, Jinbiao] Jiangxi Normal Univ, Sch Geog & Environm, Nanchang, Peoples R China.;[Yan, Jinbiao] Hengyang Normal Univ, Coll Geog & Tourism, Hengyang, Peoples R China.;[Cao, Kai] East China Normal Univ, Sch Geog Sci, Shanghai, Peoples R China.
关键词：
coefficient optimization;geographically weighted regression;l0-norm;splicing algorithm;MBIC;variable selection;algoritmo de empalme;10-norm;MBIC;regresión geográficamente ponderada;selección de variables
通讯机构：
[Bo Zhang] S;Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519000, China<&wdkj&>Guangdong Provincial Center for Urban and Migration Studies, Guangzhou 510006, China<&wdkj&>School of Geography and Remote Sensing, Guangzhou University, Guangzhou 510006, China<&wdkj&>Author to whom correspondence should be addressed.
关键词：
population aging;green total factor productivity;spatiotemporal analysis;spatial clustering;spatial spillover effect;spatial Durbin model
摘要：
China is a rapidly aging nation. Therefore, it is a matter of urgency to address the challenges of aging in China and to coordinate the relationships between population aging, environmental issues, and socio-economic development. However, few empirical studies have thus far analyzed the impact of aging on green total factor productivity (GTFP) in China. Hence, this study employs a global Malmquist–Luenberger index method (GMLI) to calculate the GTFP scores of 30 Chinese provinces from 2002 to 2018. We apply spatiotemporal analysis methods to identify the variations of population aging and GTFP scores and then build a spatial econometric model to examine the impact of population aging on GTFP. Our study findings are as follows. (1) Whereas at the beginning of the 21st century, provinces with deep aging were mostly situated in the east, the population aging issue in China is now spreading across the entire country. (2) From a dynamic perspective, the overall GTFP growth rate in China during the sample period depicts a U-shaped structure with time. (3) Results of the spatial Durbin model show that the impact of population aging in a given region on GTFP is negative, but the spatial spillover effect of aging in neighboring regions on GTFP in a given region is positive, resulting in the loss of younger local labor forces in some provinces due to low birth rates and migration to neighboring regions. Finally, to cope with a growing aging population and to possibly eliminate the negative impacts of population aging on high-quality sustainable development, the government should promote the establishment of the old-age security system; increased investment in R & D and wide use of advanced technology should also be urgently encouraged.
作者机构：
[Liao, Liuwen] Changsha Univ, Coll Econ & Management, Changsha 410022, Peoples R China.;[Ma, Enpu] Hunan Normal Univ, Sch Geog Sci, Changsha 410081, Peoples R China.;[Long, Hualou] Guangxi Univ, Sch Publ Adm, Nanning 530004, Peoples R China.;[Long, Hualou] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China.;[Peng, Xiaojun] Hengyang Normal Univ, Coll Geog & Tourism, Hengyang 421002, Peoples R China.
通讯机构：
[Hualou Long] S;School of Public Administration, Guangxi University, Nanning 530004, China<&wdkj&>Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
关键词：
land use;land use transition;ecosystem resilience;territory spatial planning;China
摘要：
Land use transition and its eco-environmental effects are important research topics. Its essence is the process that human activities exert interference to the ecological environment in the process of social and economic development, and the ecosystem resists interference and recovers and adapts to interference. The article starts from the transition of land use dominant morphology and takes ecological resilience as the breakthrough point. Based on four periods of land use data, this article studied the spatio-temporal evolution of land use and ecological resilience and the response of ecological resilience to land use transition in China from 1990 to 2020. The results showed as follows: (1) During the study period, the construction land in China continued to increase, and the forest land, grassland, and farmland showed a fluctuating trend. (2) The spatial distribution pattern of ecological resilience showed the characteristics of "high in the southeast and low in the northwest". The mean value and total value of ecological resilience in the region decreased first and then increased, taking 2010 as the dividing line. The difference in ecological resilience increased first and then decreased. (3) Ecological land and construction land are the main types of land that affect the changes in ecological resilience. The higher the proportion of ecological lands such as forest land, grassland, and waters, the smaller the variable coefficient of ecological resilience. The higher the proportion of construction land, the greater the difference in ecosystem elasticity among different types of areas.
作者机构：
[Zhou, Ze; Deng, Zhiwei; Quan, Bin] Hengyang Normal Univ, Coll Geog & Tourism, Hengyang 421002, Peoples R China.;[Quan, Bin] Hengyang Normal Univ, HIST Hengyang Base, Hengyang 421002, Peoples R China.
通讯机构：
[Bin Quan] C;College of Geography and Tourism, Hengyang Normal University, Hengyang 421002, China<&wdkj&>HIST Hengyang Base, Hengyang Normal University, Hengyang 421002, China<&wdkj&>Author to whom correspondence should be addressed.
关键词：
LULC;ecosystem service value;Intensity Analysis;Xiangjiang River Basin
摘要：
The study of land use and land cover (LULC) change and the evolution of ecosystem service values (ESV) is important for optimizing the allocation of regional land resources and achieving sustainable development, but traditional land use analysis methods cannot dig deeper into the information on the internal transitions between different land types. Therefore, in this paper, we use the component analysis and Intensity Analysis methods to systematically analyze the land use landscape changes at multiple levels. In addition, the spatial and temporal dynamic characteristics of ESV in the Xiangjiang River Basin are carved with the help of equivalence factors and GIS spatial analysis methods, which reveal the response of ESV changes to land use changes in the Xiangjiang River Basin in the past four decades. Our results showed that, (1) in the past 40 years, the intensity of land use change in the Xiangjiang River Basin has been increasing, mainly in quantity and shift. The increase of built-up and bare land and the decrease of cultivated land are stable and active, and the loss of forest land is large, but it is dormant. The loss of cultivated and forested land flows mainly to built-up land. (2) In the Xiangjiang River Basin, ESV increases first and then decreases, mainly in the middle and high grades and changes faster in the east. (3) The cross-sensitivity coefficient reflected that the net conversion of cultivated land to forest land and water area had a promoting effect on ESV. Our results provide important knowledge to inform land use decisions and facilitate sustainable development in the Xiangjiang River Basin.
作者机构：
[Mao, Dehua; Wang, Ting; Deng, Meirong] Hunan Normal Univ, Sch Geog Sci, Changsha 410081, Peoples R China.;[Deng, Meirong; Hu, Zui] Hengyang Normal Univ, Coll Geog & Tourism, Hengyang 421002, Peoples R China.;[Mao, Dehua; Wang, Ting; Deng, Meirong] Hunan Prov Key Lab Ecoenvironm Changes & Carbon Se, Changsha 410081, Peoples R China.;[Li, Yeye] Xinjiang Univ, Coll Ecol & Environm, Urumqi 830046, Peoples R China.
通讯机构：
[Mao, DH ] H;Hunan Normal Univ, Sch Geog Sci, Changsha 410081, Peoples R China.;Hunan Prov Key Lab Ecoenvironm Changes & Carbon Se, Changsha 410081, Peoples R China.
关键词：
water-related ecosystem services;InVEST model;ecological management zoning;trade-off and synergy;Xiangjiang River Basin
摘要：
Exploring the spatiotemporal distribution and interrelationships among water-related ecosystem services (WESs) and conducting ecological management zoning are crucial for regional sustainable development. Taking the Xiangjiang River Basin (XJRB) as an example, this study first quantified three primary WESs, including water conservation, soil retention, and water purification, from 2000 to 2020. Second, the spatiotemporal variation in the interrelationships among WESs were analyzed using global and local bivariate spatial autocorrelation. Third, a water ecological zoning rule was constructed to divide the watershed into three primary and eight secondary water ecological management zones. The results indicate a strong consistency in the changes in the three WESs throughout the period from 2000 to 2020 in the XJRB. Precipitation patterns and urban expansion were the primary factors affecting alterations in the WESs. Spatial heterogeneity and dependence were evident across these ecosystem services. Both trade-offs and synergies were observed among WESs, with synergies playing a dominant role. Positive synergies occurred primarily in woodlands and grasslands, while negative synergies were observed in cultivated land, water areas, and construction land. Three water ecological management zones, including core water ecological management zones, general management zones, and restoration management zones, were delineated at the grid and country scales according to the aggregation properties of the WESs. Ecological management strategies were proposed for different zones. These findings can offer valuable insights for policy makers in land use planning and water ecological management within the XJRB, and can facilitate similar management endeavors in other regions.
作者机构：
[Fan, Xuejiao; Deng, Zhiwei; Liu, Jianxiong; Quan, Bin] Hengyang Normal Univ, Coll Geog & Tourism, Hengyang 421002, Peoples R China.;[Quan, Bin] Hunan Prov Collaborat Innovat Ctr Digital Heritag, Hengyang 421002, Peoples R China.;[Quan, Bin] Hengyang Normal Univ, HIST Hengyang Base, Hengyang 421002, Peoples R China.
通讯机构：
[Bin Quan] C;College of Geography and Tourism, Hengyang Normal University, Hengyang 421002, China<&wdkj&>Hunan Provincial Collaborative Innovation Center for Digital Heritage of Ancient Village and Town Cultural Heritage, Hengyang 421002, China<&wdkj&>HIST Hengyang Base, Hengyang Normal University, Hengyang 421002, China<&wdkj&>Author to whom correspondence should be addressed.
关键词：
land use change;intensity analysis;balance of cultivated land occupation and compensation;Changsha–Zhuzhou–Xiangtan
摘要：
The Changsha-Zhuzhou-Xiangtan region has experienced rapid social and economic development over the past 40 years, and cultivated land has changed dramatically. The contradiction between built and cultivated land has intensified, for which the local government has implemented a series of policies related to cultivated land protection. However, thus far, it is not clear what the substantial effects of the cultivated land protection policies are. To this end, this paper quantitatively characterizes the changes in the Changsha-Zhuzhou-Xiangtan region during the 20 years before and after the implementation of the cultivated land occupation balance policy, based on land use data from 1980, 2000, and 2020 using intensity analysis. In this paper, we examine the types of spatial land use patterns occurring in Changsha-Zhuzhou-Xiangtan since 1980 and explore the transition path of land use types in urban-rural integration. After the cultivated land protection policy, the transformation relationship between land use types and the changing trend of the cultivated land area was analyzed from the landscape scale. The influence of policy factors on the transformation of land use types was revealed. The results show that, from 1980 to 2020, the changing intensity of construction land and unused land was relatively large and was in an active state; the amount of built land in the Changsha-Zhuzhou-Xiangtan region has been growing, with a net increase of 1101 km(2), while the amount of cultivated land has been showing a net decrease, with a net reduction of 677 km(2). Moreover, the cultivated land has mainly been converted into built land, and the lost cultivated land area in Changsha-Zhuzhou-Xiangtan has not been fully compensated elsewhere in the region, indicating that the cultivated land protection policy has not been able to maintain the cultivated land area in Changsha-Zhuzhou-Xiangtan. From 2000 to 2020, cultivated land change was mainly due to exchange, which indicates that the policy has had a particular effect on the protection of cultivated land. Still, if the government wants to achieve the "balance of cultivated land occupation and compensation" goal, it must establish a complete system for the allocation of cultivated land resources. This study can provide a scientific reference for further implementing the cultivated land protection policy, which is thus of great significance for promoting the construction of the Changsha-Zhuzhou-Xiangtan region and its high-quality economic and social development.
摘要：
Given environmental or hydrological functions influenced by changing river networks in the development of rapid urbanization, a clear understanding of the relationships between comprehensive urbanization (CUB) and river network characteristics (RNC), storage capacity (RSC), and regulation capacity (RRC) is urgently needed. In the rapidly urbanized Tai Lake Plain (TLP), China, various methods and multisource data were integrated to estimate the dynamics of RNC, RSC, and RRC as well as their interactions with urbanization. The bivariate Moran's I methods were applied to detect and visualize the spatial dependency of RNC, RSC, or RRC on urbanization. Geographically weighted regression (GWR) model was set up to characterize spatial heterogeneity of urbanization influences on RNC, RSC and RRC. Our results indicated that RNC, RSC and RRC variables each showed an overall decreasing trend across space from 1960s to 2010s, particularly in those of tributary rivers. RNC, RSC, or RRC had globally negative correlations with CUB, respectively, but looking at local scale the spatial correlations between each pair were categorized as four types: high-high, high-low, low-low, and low-high. GWR was identified to accurately predict the response of most RNC, RSC, or RRC variables to CUB (R-2: 0.6-0.8). The predictive ability of GWR was spatially non-stationary. The obtained relationships presented different directions and strength in space. All variables except for the water surface ratio (Wp) were more positively affected by CUB in the middle eastern parts of TLP. Drainage density, RSC and RRC variables were more negatively influenced by CUB in the northeast compared to other parts. The quantitative results of spatial relationships between urbanization and RNC, RSC or RRC can provide location-specific guidance for river environment protection and regional flood risk management.
作者机构：
[Chen, Fulong; Sun, Zhongchang; Tang, Yunwei; Jing, Linhai; Yang, Wei] Int Res Ctr Big Data Sustainable Dev Goals, Beijing 100094, Peoples R China.;[Chen, Fulong; Sun, Zhongchang; Tang, Yunwei; Jing, Linhai; Yang, Wei] Chinese Acad Sci, Aerosp Informat Res Inst, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China.;[Chen, Fulong] Int Ctr Space Technol Nat & Cultural Heritage Aus, Beijing 100094, Peoples R China.;[Yang, Wei] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.;[Ding, Yanbin] Hengyang Normal Univ, Coll Geog & Tourism, Hengyang 421002, Peoples R China.
通讯机构：
International Research Center of Big Data for Sustainable Development Goals, Beijing, China
关键词：
Cultural landscape;Cultural-heritage site;Interference degree;Object-based image analysis;Very high-resolution
通讯机构：
[Wang, Peng] H;Hengyang Normal Univ, Coll Geog & Tourism, Hengyang 421002, Peoples R China.
关键词：
land use;FLUS model;ecological protection;Hengyang city
摘要：
With rapid economic development in China, the excessive expansion of cities has led to the imbalance of land use structure, and then the ecological regulation function of the land ecosystem experiences problems, which has become an obstacle to sustainable development. Therefore, in order to protect the ecological environment, regulate urban development and pursue the maximization of ecological benefits, it is necessary to analyze, simulate and predict land use change. In this study, Hengyang City was taken as the study area, and based on the current land use data of Hengyang City in 2010, 2015, and 2018, the land use type transfer during 2010-2015 and 2015-2018 was analyzed. Then, starting from 2010, the FLUS model was used to simulate the spatial distribution of land use in 2015 and 2018, and then the spatial distribution of land use in Hengyang City in 2025 was predicted with the Markov prediction method under the premise of ecological protection priority. The results show that the change in ecological land in Hengyang City is mainly distributed in the surrounding and marginal areas, because the topography of Hengyang City is a basin. Changes in land type in Hengyang City in 2015 were subtle and difficult to observe. However, in 2018, the transformation of non-ecological land into ecological land was obvious, and the distribution area of ecological land expanded significantly. The Kappa index of the results simulated by the FLUS model based on neural network is above 0.72, and overall accuracy is above 0.9, which is highly consistent with the actual situation. It is reasonable and convincing to predict the spatial distribution of land use in the context of ecological protection. The predicted results can be useful for urban planning and land use distribution and provide a reference for relevant decision-makers.
作者机构：
[Liu, Jie; Shirazi, Zeeshan; Ren, Hongge; Wang, Xinyuan] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, 9 Dengzhuang South Rd, Beijing 100094, Peoples R China.;[Liu, Jie; Ren, Hongge] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.;[Quan, Bin] Hengyang Normal Univ, Coll City & Tourism, Hengyang 421002, Peoples R China.
通讯机构：
[Ren, Hongge] C;[Ren, Hongge] U;Chinese Acad Sci, Inst Remote Sensing & Digital Earth, 9 Dengzhuang South Rd, Beijing 100094, Peoples R China.;Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
关键词：
Angkor World Heritage;urban expansion;photointerpretation;remote sensing;CA-Markov model
摘要：
Recent increases in urbanization and tourism threaten the viability of UNESCO world heritage sites across the globe. The Angkor world heritage site located in southern Cambodia is now facing such a challenge. Over the past two decades, Angkor has seen over 300,000% growth in international tourist arrivals, which has led to uncontrolled development of the nearby city of Siem Reap. This study uses remote sensing and GIS to comprehend the process of urban expansion during the past 14 years, and has applied the CA-Markov model to predict future urban expansion. This paper analyzes the urban pressure on the Angkor site at different scales. The results reveal that the urban area of Siem Reap city increased from 28.23 km(2) in 2004 to 73.56 km(2) in 2017, an increase of 160%. Urban growth mainly represented a transit-oriented pattern of expansion, and it was also observed that land surfaces, such as arable land, forests, and grasslands, were transformed into urban residential land. The total constructed land area in the core and buffer zones increased by 12.99 km(2) from 2004 to 2017, and 72% of the total increase was in the buffer zone. It is predicted that the built-up area in Siem Reap is expected to cover 135.09 km(2) by 2025 and 159.14 km(2) by 2030. The number of monuments that are most likely be affected by urban expansion is expected to increase from 9 in 2017 to 14 in 2025 and 17 in 2030. The urban area in Siem Reap has increased dramatically over the past decade and monuments continue to be decimated by urban expansion. This paper urges closer attention and urgent actions to minimize the urban pressure on the Angkor site in the future.
关键词：
Incentive measures;Pro-environmental behaviors;The theory of planned behavior;Tourism litter management;Travel companions
摘要：
Bringing self-generated litter down the mountain is an emerging pro-environmental behavior to solve the problem of trail's litter management in China. This study is the first attempt to explore a theoretical explanation model that explicates tourists' complex intention-forming process for engaging in it. The study extended the Theory of Planned Behavior model, including three additional explaining variables (environmental theory knowledge, environmental practice knowledge, and incentive measures), as well as a moderator of travel companions between subjective norm and the behavioral intention. The data were collected in questionnaire survey samples of 372 tourists in Huangshan National Park (HNP) and analyzed by the method of the structural equation model. The results showed that (1) attitude toward the behavior, subjective norm, perceived behavioral control and incentive measures significantly affected the behavioral intention; (2) environmental theory knowledge and environmental practice knowledge had indirect effects on the behavioral intention via the mediator of attitude toward the behavior; and (3) the strength of the relationship for the family group between subjective norm and the behavioral intention was significantly greater than the non-family group. Finally, we presented several effective suggestions to improve tourists' intention of bringing self-generated litter down the mountain. (C) 2018 Elsevier Ltd. All rights reserved.
