The configuration of a multifunctional rural landscape is critical for its protection.Although studies on multifunctional rural landscapes have been conducted,there is a lack of information regarding the spatiotempora...The configuration of a multifunctional rural landscape is critical for its protection.Although studies on multifunctional rural landscapes have been conducted,there is a lack of information regarding the spatiotemporal characteristics and tradeoff/synergy relationships of rural landscape functions in the time series on the administrative unit scale.The purposes of this study were to(1)analyze the spatial-temporal distribution characteristics of the tradeoff and synergy from the perspective of multifunctionality for efficient use of rural landscape resources and(2)formulate regional sustainable development policies to minimize the conflict between people and nature.Aiming at the scientific representation of landscape function and the quantification of landscape multifunctional relationships,and by taking Qingpu District of Shanghai as an example,six kinds of rural landscape functions were constructed according to the functional framework of"productive function,living function and ecological function".Based on the data for 1980 to 2018,the characteristics of variations of multifunctional tradeoff and synergy relationships of the rural landscape in 184 administrative villages were studied by the methods of Spearman rank correlation coefficient analysis and bivariate spatial autocorrelation.The following results were obtained.1)The fine division of rural landscape function types was realistic and necessary for analyzing the regional multi-function relationships in the regions with rapid development.In the process of rapid urbanization,the rural landscape functions of urban suburban areas changed under the combined action of natural resource endowment,social and economic conditions and other internal and external factors.As a result,the agricultural production function could not replace the economic development function and become the function of rural landscape production.The research results of Qingpu District showed that the agricultural production function was no longer the primary functional form,yet the economic development function became the dominant function in this area.2)Temporal and spatial analysis methods of rural landscape functions can accurately and comprehensively reflect the evolution of the characteristics of multifunction tradeoffs and synergies.According to the Spearman rank correlation analysis of the multifunction value of the rural landscape in the time dimension,the results masked the differences of resource and environment carrying capacity caused by the differences of regional landscape resource endowment in the spatial dimension.3)The spatial and temporal differences of the multi-functional tradeoffs and synergies of the rural landscape in Qingpu District from 1980 to 2018 were significant.There was significant heterogeneity of tradeoffs and synergies between functions in the spatial pattern,with clustering characteristics.Meanwhile,as for the temporal pattern,the tradeoffs and synergies of functions changed differently in terms of Moran’s I and the correlation coefficient.The results of this study can provide scientific references for urban-suburban-rural space reconstruction and regional sustainable development.展开更多
Green development is an important way to achieve global sustainable development goals, and has become one of the main research hotspots in recent years. Balancing economic development and environmental protection has ...Green development is an important way to achieve global sustainable development goals, and has become one of the main research hotspots in recent years. Balancing economic development and environmental protection has turned out to be a great challenge in Beijing, the capital of China, which can provide some suggestions on ecological civilization construction and green development for other cities. However, there have been limited studies on this crucial topic. Therefore, based on the statistical data for Beijing from 2006 to 2016, this paper constructed the green development evaluation system of Beijing, and used the Projection Pursuit Model and spatial analysis method to analyze the spatial and temporal changes in its green development level. We also aimed to further explore the influences of key factors on green development. Our results illustrated that:(1) the overall and average levels of green development in Beijing showed significant increasing trends;(2) there are obvious spatial differences in green development among districts in Beijing, with the outer districts showing higher values;and(3) the environmental condition and human consumption were two important factors driving the green development in Beijing.展开更多
Vulnerability research is the core issue and one of the research hotspots of sustainable development science.Vulnerability and its evaluation framework provide a new perspective for rural social-ecosystem studies.This...Vulnerability research is the core issue and one of the research hotspots of sustainable development science.Vulnerability and its evaluation framework provide a new perspective for rural social-ecosystem studies.This paper introduced the‘input-output’efficiency theory and constructed the‘SEE-PSR’framework for the analysis of social-ecosystem vulnerability in the rural area in Qingpu District of Shanghai City.The DEA models,spatial autocorrelation model,multivariate logistic regression model,geographical detector and hierarchical cluster model were used to analyze the spatial differences of social-ecosystem vulnerability,and its geographical impact mechanisms and ecological restorations,in 184 administrative villages in this area.The results can be divided into three main points.(1)The results of the‘input-output’efficiency model of the EW-DEA based on entropy weight aggregation crossover was more reliable and accurate for the evaluation of rural social-ecosystem vulnerability.The vulnerability of the social-ecosystems in the administrative villages showed a trend of gradual decline from east to west,with an average value of vulnerability of 0.583,and the vulnerability of social systems had become an important factor in constraining the decrease of the vulnerability of the social-ecosystems in the region.(2)The distances from the center of Shanghai City,from Dianshan Lake,from the center of Qingpu District and from the water area were the four dominant geographical factors affecting the vulnerability of the social-ecosystem in this region.The geographical impacts exhibited the spatial differentiations of systemic structure,the substitution of typological attributes and the transformation level.(3)The geographical factors coupling the impact types of the social-ecosystem vulnerability were divided spatially into 10 types.The geographic multi-factor coupling impact types were dominant,which presented multi-cyclic spatial patterns and were dominated by the central multi-factor which was surrounded by the single factor types on both sides.According to the different types,some feasible ways of ecological restoration were proposed,which drew on the experiences of integrated territory consolidation to remediate the vulnerability of rural social-ecological systems.The results of this study can provide scientific reference for rural spatial reconstruction,regional ecological restoration and sustainable development for the regions characterized by conflict in the‘strict protection of the ecological environment and vigorous development of the economy’.展开更多
基金The National Natural Science Foundation of China(41471455)The Humanities and Social Science Research Project of Hunan Education Department(19A086)The Key Laboratory of Key Technologies of Digital Urban-Rural Spatial Planning of Hunan Province(2018TP1042)。
文摘The configuration of a multifunctional rural landscape is critical for its protection.Although studies on multifunctional rural landscapes have been conducted,there is a lack of information regarding the spatiotemporal characteristics and tradeoff/synergy relationships of rural landscape functions in the time series on the administrative unit scale.The purposes of this study were to(1)analyze the spatial-temporal distribution characteristics of the tradeoff and synergy from the perspective of multifunctionality for efficient use of rural landscape resources and(2)formulate regional sustainable development policies to minimize the conflict between people and nature.Aiming at the scientific representation of landscape function and the quantification of landscape multifunctional relationships,and by taking Qingpu District of Shanghai as an example,six kinds of rural landscape functions were constructed according to the functional framework of"productive function,living function and ecological function".Based on the data for 1980 to 2018,the characteristics of variations of multifunctional tradeoff and synergy relationships of the rural landscape in 184 administrative villages were studied by the methods of Spearman rank correlation coefficient analysis and bivariate spatial autocorrelation.The following results were obtained.1)The fine division of rural landscape function types was realistic and necessary for analyzing the regional multi-function relationships in the regions with rapid development.In the process of rapid urbanization,the rural landscape functions of urban suburban areas changed under the combined action of natural resource endowment,social and economic conditions and other internal and external factors.As a result,the agricultural production function could not replace the economic development function and become the function of rural landscape production.The research results of Qingpu District showed that the agricultural production function was no longer the primary functional form,yet the economic development function became the dominant function in this area.2)Temporal and spatial analysis methods of rural landscape functions can accurately and comprehensively reflect the evolution of the characteristics of multifunction tradeoffs and synergies.According to the Spearman rank correlation analysis of the multifunction value of the rural landscape in the time dimension,the results masked the differences of resource and environment carrying capacity caused by the differences of regional landscape resource endowment in the spatial dimension.3)The spatial and temporal differences of the multi-functional tradeoffs and synergies of the rural landscape in Qingpu District from 1980 to 2018 were significant.There was significant heterogeneity of tradeoffs and synergies between functions in the spatial pattern,with clustering characteristics.Meanwhile,as for the temporal pattern,the tradeoffs and synergies of functions changed differently in terms of Moran’s I and the correlation coefficient.The results of this study can provide scientific references for urban-suburban-rural space reconstruction and regional sustainable development.
基金The National Natural Science Foundation of China (41801202, 41911530693)。
文摘Green development is an important way to achieve global sustainable development goals, and has become one of the main research hotspots in recent years. Balancing economic development and environmental protection has turned out to be a great challenge in Beijing, the capital of China, which can provide some suggestions on ecological civilization construction and green development for other cities. However, there have been limited studies on this crucial topic. Therefore, based on the statistical data for Beijing from 2006 to 2016, this paper constructed the green development evaluation system of Beijing, and used the Projection Pursuit Model and spatial analysis method to analyze the spatial and temporal changes in its green development level. We also aimed to further explore the influences of key factors on green development. Our results illustrated that:(1) the overall and average levels of green development in Beijing showed significant increasing trends;(2) there are obvious spatial differences in green development among districts in Beijing, with the outer districts showing higher values;and(3) the environmental condition and human consumption were two important factors driving the green development in Beijing.
基金The National Natural Science Foundation of China(41471455)The Social Science Foundation of Hunan Province(20JD011)+2 种基金The Social Science Review Foundation of Hunan Province(XSP17YBZC021,XSP18ZDI035)The Humanities and Social Science Research Project of Hunan Education Department(19A086)The Key Laboratory of Key Technologies of Digital Urban-Rural Spatial Planning of Hunan Province(2018TP1042)。
文摘Vulnerability research is the core issue and one of the research hotspots of sustainable development science.Vulnerability and its evaluation framework provide a new perspective for rural social-ecosystem studies.This paper introduced the‘input-output’efficiency theory and constructed the‘SEE-PSR’framework for the analysis of social-ecosystem vulnerability in the rural area in Qingpu District of Shanghai City.The DEA models,spatial autocorrelation model,multivariate logistic regression model,geographical detector and hierarchical cluster model were used to analyze the spatial differences of social-ecosystem vulnerability,and its geographical impact mechanisms and ecological restorations,in 184 administrative villages in this area.The results can be divided into three main points.(1)The results of the‘input-output’efficiency model of the EW-DEA based on entropy weight aggregation crossover was more reliable and accurate for the evaluation of rural social-ecosystem vulnerability.The vulnerability of the social-ecosystems in the administrative villages showed a trend of gradual decline from east to west,with an average value of vulnerability of 0.583,and the vulnerability of social systems had become an important factor in constraining the decrease of the vulnerability of the social-ecosystems in the region.(2)The distances from the center of Shanghai City,from Dianshan Lake,from the center of Qingpu District and from the water area were the four dominant geographical factors affecting the vulnerability of the social-ecosystem in this region.The geographical impacts exhibited the spatial differentiations of systemic structure,the substitution of typological attributes and the transformation level.(3)The geographical factors coupling the impact types of the social-ecosystem vulnerability were divided spatially into 10 types.The geographic multi-factor coupling impact types were dominant,which presented multi-cyclic spatial patterns and were dominated by the central multi-factor which was surrounded by the single factor types on both sides.According to the different types,some feasible ways of ecological restoration were proposed,which drew on the experiences of integrated territory consolidation to remediate the vulnerability of rural social-ecological systems.The results of this study can provide scientific reference for rural spatial reconstruction,regional ecological restoration and sustainable development for the regions characterized by conflict in the‘strict protection of the ecological environment and vigorous development of the economy’.