Analysis of Major Driving Forces of Ecological Footprint Based on the STRIPAT Model and RR Method:A Case of Sichuan Province,Southwest China

The Ecological Footprint(EF) equation provides useful accounting to analyze the relationship between human activities and the environment.Knowledge of the specific forces driving EF is not fully understood but the STIRPAT model provides a simple framework for decomposing the impact of human activities on environment.We applied the EF model in Sichuan Province,China to assess the impact of human activities.The per capita EF increased by 2 fold in the 14 years between 1995 and 2008,but ecological capacity decreased in the same period,suggesting that the biologically productive area of Sichuan Province is inadequate to sustain human activities.According to the refined STIRPAT model,the hypothesized driving forces of EF include population size(P),GDP per capita(A1),quadratic term of GDP per capita(A2),percentage of GDP from industry(T1) and urbanization rate(T2).However,the multi-collinearity among these drivers could be a substantial problem which may reveal negative effect in the final results.Application of the Ridge Regression(RR) method to fit the STIRPAT model had the advantage of being able to avoid the collinearity among independent variables.The results showed that population is the principal driving force of EF variation in Sichuan Province and that urbanization and industrialization also have a positive association with the EF.Analysis of affluence elasticity(EEA) showed that the relationship betweenEF and economic growth was not curvilinear,suggesting that variation of EF does not follow an Environmental Kuznets Curve relative to economic growth in Sichuan Province.

A Modified Model of Ecological Footprint Accounting and Its Application to Cropland in Jiangsu,China

Based on the theory of emergy analysis,a modified model of ecological footprint accounting,termed emergetic ecological footprint(EMEF)in contrast to the conventional ecological footprint(EF)model,is formulated and applied to a case study of Jiangsu cropland,China.Comparisons between the EF and the EMEF with respect to grain,cotton,and food oil were outlined.Per capita EF and EMEF of cropland were also presented to depict the resources consumption level by comparing the biocapacity(BC)or emergetic biocapacity(EMBC,a new BC calculation by emergy analysis) of the same area.In the meanwhile,the ecological sustainability index(ESI),a new concept initiated by the authors, was established in the modified model to indicate and compare the sustainability of cropland use at different levels and between different regions.The results from conventional EF showed that per capita EF of the cropland has exceeded its per capita BC in Jiangsu since 1986.In contrast,based on the EMBC,the per capita EMEF exceeded the per capita EMBC 5 years earlier.The ESIs of Jiangsu cropland use were between 0.7 and 0.4 by the conventional method,while the numbers were between 0.7 and 0.3 by the modified one.The fact that the results of the two methods were similar showed that the modified model was reasonable and feasible,although some principles of the EF and EMEF were quite different. Also,according to the realities of Jiangsu cropland use,the results from the modified model were more acceptable.

Evaluation on Urban Land Ecological Security Based on the PSR Model and Matter-Element Analysis: A Case Study of Zhuhai, Guangdong, China

As one of the Special Economic Zones since the reform and opening up, Zhuhai has developed during the past 30 years. Its economic development, industrial structure and ecological environment have undergone great changes. Research on changes in Zhuhai’s land ecological security is of great significance. Using relevant data from 2007-2012, this study established a land ecological security assessment system based on the PSR conceptual framework model. The system contained 18 indicators from 3 aspects according to the concrete features of Zhuhai. Then we used the matterelement analysis and the improved entropy weight to analyze and evaluate the land ecological security of Zhuhai. The results showed that: from 2007 to 2012, the levels of the land ecological security of Zhuhai were “secure”, and the value increased year by year;as the land ecological security response value increased, Zhuhai was capable of solving land ecosystem problems. However, it should be noted that the structure of land ecosystem in Zhuhai has not formed and that rapid expansion of construction land has caused the shortage of cultivated land and other issues. Measures should be taken to control the construction area, improve land intensive utilization and improve the land ecological security.

Improvement of Ecological Footprint Method and Application in Henan Province

The measure of sustainable development has always been an important and difficulty subject, and the major evaluation model has three types: indicators based on system theory and methods, indicators relied on economic valuation of the environment, sustainability indicators including biophysical assessments. The ecological footprint analysis initiated by William E. Rees, one of the indicators including biophysical assessments, gets rid of the defects of the other models. Ecological footprint has gradually become popular on account of the measuring indexes based on scientific theory, innovative thought-way and its wide adaptability. This paper introduces the conception and computation method, making a progress and making up for the method of ecological footprint, and finally, makes an application analyses through Henan province regional sustainable development.

Ecological Footprint and Major Driving Forces in West Jilin Province, Northeast China

The environmental impact caused by local people （ecological footprint of consumption, EFc） and the actual environmental impact that the ecosystem burdens （ecological footprint of production, EFp） in West Jilin Province, Northeast China from 1986 to 2006 were evaluated by using ecological footprint （EF） method. And the major driving forces of EFc and EFp were analyzed by STIRPAT model. Both EFc and EFp showed increasing trends in 1986-2006, accompanied by decreasing ecological deficits but expanding ecological overshoots. Population （P）, GDP per capita （A1）, quadratic term of GDP per capita （A2）, urbanization （Tα1）, and quadratic term of urbanization （Ta2） were important influencing factors of EFc, among which Tα2 and Tα1 were the most dominate driving forces of EFc. A1, A2 and Tα2 were important influencing factors of EFp, among which A2 and A1 were the most dominate driving forces of EFp. In 1986-2006, the classical Environmental Kuznets Curve hypothesis did not exist between A2 and EF （both EFc and EFp）, but did between Tα2 and EF. The results indicate that enhancing the urbanization process and diversifying economic sources is one of the most effective ways to reduce the environmental impact of West Jilin Province. Moreover, importance should be attached to improve the eco-efficiency of resource exploitation and consumption.

Ecological footprint of Gansu Province,China between 1997 and 2002:changes and inducement

The calculation of Ecological Footprint （EF） on the basis of Input-Output model （I-O model） was advanced by Bicknell, and modified and improved hy Ferng who corrected the footprint＇s aggregation to each sectors. For the lack of sufficient teehnique to deal with the trade between the research areas and the rest of the world, it it necessary to improve this method. And a dynamic analysis of the change of footprint based on I-O model, which could explore the factor impacting the footprint using the ,special advantage of I-O model, ought to be put into practice. After introducing the new method in detail, we calculate and compare the EF and the change of Gansu Province in the northwest of China in 1997 and 2002. The result shows that there was an increase of EF in 2002 caused by final domestic demand. Further; the inerement in EF export was 2.0 × 10^5 ha and 1.6 × 10^6 ha in import. The out-of- region support dropped from 22.6% to 18. 6%. We introduce three factors causing the EF change based on the character of I-O model： the productivity of the resourve which is explained by the change of resource used to obtain one unit output in a sector, the improvement of the economics and the final demand. Finally, we find that the effects of the three factors on the EF change are not identical except the industry sectors and the change of factors in the agriculture and the industry sectors works notably.

Multiple Scenarios Simulation of Global Ecological Footprint Based on Empirical Mode Decomposition Method

A nonlinear dynamic simulative model has been discussed with variable cycles of entire world per capita ecological footprint taken from 1961 to 2003. The model was further classified and decomposed and extracted by the empirical mode decomposition (EMD) method. To deal with the problems proposed in the Living Planet Report 2006, three ecological footprint scenarios are presented. Simulative numerical values of the three global per capita (GPC) ecological footprint scenarios are also analyzed based on the simulative model. The results show that: 1) The clear varying cycle of global per capita EF growth is 4.6 years, 9.5 years, 19.5 years and 41 years over the last 42 years;2) According to the business-as-usual scenario, if the global per capita increases positively with the constant growth, it is expected that GPC EF would be 3.262 gha in 2050. Assuming global per capita biocapacity (BC) to be 1.236 gha, global per capita ecological deficit (ED) would increase from 0.4 gha in 2003 to 2.026 gha in 2050;3) The slow-shift scenario shows global per capita EF would decrease from 2.23 gha in 2003 to 1.619 gha in 2080 and 1.406 gha in 2100, if the negative annual change rate of it is 0.447 percent. Global per capita ED would decrease from 0.4 gha in 2003 to 0.222 gha in 2080 and 0.038 gha in 2100, if global per capita BC is 1.397 gha;4) The rapid-reduction scenario depicts global per capita EF would decrease to 1.414 gha in 2050, if the negative annual change rate is 0.842% from 2003 to 2050. Assuming global per capita BC to be 1.461 gha, global per capita ecological reserve (ER) would be 0.047 gha, and overshoot would be eliminated in 2050. Global per capita EF would decrease to 1.054 gha in 2100, if the negative annual change rate is 0.438% from 2050 to 2100. Assuming global per capita BC to be 1.474 gha, GPC ER would be 0.420 gha. Then, wild species of the planet will be allocated nearly 28.5% of the planet’s biological productivity, which coincides with the results of Living Planet Report 2006.

Spatiotemporal analysis and multiple scenarios prediction of sustainable ecosystem in China based on ecological footprint method

Dynamic changes of sustainable ecosystem in China have been assessed with long-term series from 1949 to 2006, and the ecosystem sustainability of 30 provinces in 1986, 1996, 2002 and 2006 are analyzed with ecological footprint index (EFI) and ecological footprint efficiency (EFE). The two indices are proposed based on ecological footprint (EF) method. Then, the fluctuant cycles of per capita EF and bicapacity (BC) in China 1949-2006 are decomposed and extracted based on EMD method, and series nonlinear dynamic predictive models are presented with the cycles. Three Forecasting scenarios are analyzed based on their predictive models according to three EF scenarios presented in Living Planet Report 2006 published by WWF et al.(2006). Over last 57 years, China’s EFI has reduced sharply with fluctuation. The change of EFE is very slowly before 1980, subsequently, is sharply increased. There are 6, 5, 12, and 7 provinces which are running ecological surplus in 1986, 1996, 2002, and 2006, respectively. There are 14, 16, 11, and 16 provinces which EFI are smaller than -100% in 1986, 1996, 2002, and 2006, respectively. The provinces with the highest EFE are Shanghai, Beijing, and Tianjin, and the lowest are Xinjiang, Guizhou, Hainan, Ningxia, et al. in 1986, 1996, 2002, and 2006, respectively. The obvious undulation cycles of per capita EF in China are 4.8 years and 10.9 years, and the periods of per capita BC are 3.03 years, 8.35 years, 14.25 years, and 28.15 years. The business-as-usual scenario looks at the consequence that per capita ED would be 11.200hm2 and EFI would be -1307.19% in China in 2050. The slow-shift scenario shows per capita ED would be 0.728hm2 and EFI would be -84.96% in 2050. The rapid-reduce scenario shows per capita ED in China would be 0.498hm2 in 2050 and 0.261hm2 in 2100, respectively. EFI of rapid-reduce scenario would be -58.11% in 2050. China could denote sustainability at the global level if slow-shift scenario and rapid-reduce scenario are implemented.

可持续发展评价的生态踩占模型及Ecological Footprint一词的翻译

简要介绍了可持续发展评价的生态踩占模型,并与我国学者提出的基于资源承载力的可持续发展评价模型在方法论上做了比较。着重讨论了生态踩占模型中Ecologicfootprint一词的翻译,认为应根据上下文的意境将其分别译为"生态踩占"、"生态立足区"和"生态足迹"等。

Ecological Footprint and Endogenous Economic Growth in the Poyang Lake Area in China Based on Empirical Analysis of Panel Data Model

In this paper, ecological footprint methods were used to calculate the ecological footprint of six cities （Nanchang, Jingdezhen, Jiujiang, Xinyu, Yingtan and Fuzhou） in the Poyang Lake Area, Jiangxi, China from 1991 to 2010. Ecological footprint was the input factor for ecological resources and the contribution of this and other factors such as labor and capital to economic growth were analyzed. The results showed that, from 1991 to 2010, ecological footprints in the six cities increased year by year. The amount of land for fossil energy, under cultivation and grassland influenced total ecological footprint in each city. The contribution of ecological resources, labor factors and capital factors to economic growth showed regional differences. Nanchang, Jiujiang, Xinyu, and Yingtan are capital-orientated and capital factor had a great influence on the economic growth rates, whereas, Jingdezhen and Fuzhou were labor-orientated. The contribution of ecological resources to economic growth in the six cities was the lowest of all three factors, meaning that efficiency of ecological resource utilization is low. Total productivity plays a key role in economic development; however, the overall level of total factor productivity for the six cities was low and indicates that the technological content of Poyang Lake Area’s economic growth is low and the utilization of input factors extensive. In summary, we suggest changing the mode of economic growth and developing tertiary industry in the region.

Dynamic Comparison and Trend analysis of Southeast Guizhou's Experimental Area of Eco-civilization Construction and the National Eco-efficiency

In order to better understand the development level of eco-efficiency in Southeast Guizhou's experimental area of eco-civilization construction,we conduct dynamic comparison research of its eco-efficiency and the national eco-efficiency,using single ratio method based on the ecological footprint model,to grasp the gap between its eco-efficiency and the national eco-efficiency,so that we can take appropriate countermeasures to improve eco-efficiency. The results show that in the period 1978-2010,the eco-efficiency in Southeast Guizhou's experimental area of eco-civilization construction was always lower than the national eco-efficiency; the long-time average annual value of its eco-efficiency was less than one half of that of the national eco-efficiency,with the absolute gap of 1 630. 095 yuan /hm 2 ,and the gap tended to widen year by year in the period 1978-2002 ( the gap increased from 276. 551 yuan /hm 2 in 1978 to peak of 3 227. 713 yuan /hm 2 in 2002,with an average annual increase of 118. 047 yuan /hm 2 ,and especially after 1992,the gap was particularly evident,with an average annual increase of 194.771 yuan/hm 2 ) ,but from 2003,the gap between the two tended to decrease. Based on the prediction results of grey system,in the period 2011-2025,the gap between the eco-efficiency in Southeast Guizhou's experimental area of eco-civilization construction and the national eco-efficiency will gradually narrow,and from 2019, the eco-efficiency in Southeast Guizhou's experimental area of eco-civilization construction will be higher than the national eco-efficiency.

Study on Ecological Carrying Capacity of Land in Henan Province

In order to explore the technical methods to improve the ecological carrying capacity of regional land under the premise of limited land use area,an open ecological footprint model is established based on the traditional ecological footprint model.Using the two models,this paper evaluates the ecological carrying capacity of Henan Province in 2017.The results indicate that the ecological productive footprint of cultivated land in Henan Province is much larger than the ecological carrying capacity,but the ecological consumption footprint is lower than the ecological carrying capacity.The open ecological footprint model can clearly distinguish the internal and the external ecological consumption footprint after corrected by the consumption adjustment coefficient and the land-use structure adjustment coefficient.Based on the open ecological footprint model,the ecological carrying capacity evaluation results of Henan Province are more realistic.The comprehensive ecological carrying capacity in Henan Province has a surplus,but there are significant differences among different land use types.The cultivated land has the largest ecological carrying capacity surplus,while the fossil energy land has a larger ecological carrying capacity deficit.In the process of achieving sustainable development,Henan Province should focus on reducing energy consumption and improving the ecological carrying capacity of fossil energy land.The paper concludes that the open ecological footprint model can simulate the ecological carrying capacity under different land use structures and different consumption structures.According to the simulation results,the technical methods to improve the ecological carrying capacity under the premise of limited land use scale can be proposed.The research can provide reference for land use structure adjustment,land use planning and land protection in Henan Province.It can also provide scientific basis for ecological protection and high-quality development of the Yellow River basin.

Trends in per capita ecological footprint and biocapacity in China 1949-2013

This paper proposes two concepts: the ecological footprint component index(EFCI) and the biocapacity component index(BCCI), based on the ecological footprint(EF) and Shannon entropy approaches. Per capita EFCI and BCCI in China 1949-2013 are analyzed using empirical mode decomposition(EMD). Nonlinear models of per capita EFCI and BCCI in China 1949-2013 are presented and their cycles and predictions from 2014 to 2023 are analyzed. The results over the last 65 years show:(1) EFCI in China has increased constantly with fluctuations, while BCCI has slowly decreased. Their annual change rates are 2.81% and-1.26%, respectively. The increasing EFCI indicates a gradual improvement in China's sustainable development potential; the decreasing BCCI indicates severe environmental and population challenges.(2) The cycles of per capita EFCI have periods of 5.4 and 16.3 years, while cycles of per capita BCCI have periods of 3.6, 13,and 21.7 years. The predictive models indicate that EFCI will first decrease, reaching 0.02725 in2014, and will subsequently increase to 0.03261 in 2021. BCCI will increase, reaching 0.01365 in2014 and 0.01541 in 2022. EFCI and BCCI will reach 0.03037 and 0.01537, respectively, in 2023.Policymakers should ensure that the EFCI and BCCI increase in 2023.

Ecological Footprint Evaluation of Three Types of Wood Flooring in China based on Their Production Data from 2000 to 2018

To encourage the environmental responsibility of consumers and manufacturers for forest management,it is necessary to evaluate the environmental influences of forest products.Ecological footprint(EF) is an internationally recognized indicator for estimating the natural capital consumption and environmental influences of various forest products.In this study,we developed an accounting model for the EF evaluation of wood flooring,which is a tertiary forest product,by the method of transformation.Next,we used that model to evaluate the EF of three types of wood flooring in China according to their production data from 2000 to 2018.We collected the necessary data by visiting typical enterprises in China and referring to the relevant literature.According to our results,the average EFs of solid wood flooring,engineered solid wood flooring and laminate flooring between 2000 to 2018 were 3.13×10^(6),1.05×10^(7) and 5.07×10^(6) gha,respectively.The total EFs of solid wood flooring,engineered solid wood flooring and laminate flooring from 2000 to 2018 were 5.95×10^(7),1.99×10^(8) and 9.64×10^(7 )gha,respectively.The coefficients of variation(CV) of the EFs for these three types of wood flooring were 0.45,0.87 and 0.76,respectively.The average and total EFs of the engineered solid wood flooring were the largest among the three types of wood flooring.The per capita EF and unit EF for the engineered solid wood flooring were also the highest among the three types of wood flooring.The EFs showed an upward trend with irregular fluctuations from 2000 to 2018 for all three types of wood flooring.It is necessary to reduce the EF of the engineered solid wood flooring and use more environmentally friendly products,such as solid wood flooring,for environmental protection.

Water resource utilization characteristics and driving factors in the Hainan Island

The scarcity of water resources caused by the unique topography and uneven rainfall distribution in Hainan Island has become a major factor restricting local development. In order to provide effective and scientific reference basis for the overall water resource utilization status and solving this problem, this study calculated the water resource utilization situation of Hainan Island from 2017 to 2021 in detail using methods including water resource ecological footprint analysis. Furthermore, a spatial correlation analysis was conducted to examine the island's water resource utilization characteristics, and the driving factors behind the changes in water resource utilization over the past five years were analyzed using the LMDI model. The results show that:(1) During the study period, the water resource ecological footprint in Hainan Island exhibited a slow growth trend, while the ecological carrying capacity showed a downward tendency.The per capita ecological deficit of water resources remains relatively high, and the water consumption per 10 000 yuan GDP in the whole land continues to decrease, indicating that the overall pressure on water resource demand remains high with significant regional differences accompanied by the efficiency of water resource utilization steadily improving at the same time;(2) Agricultural water use accounts for the highest proportion in the entire water use structure, while ecological water use represents the smallest share, with a year-on-year increase, indicating that Hainan Island highlights the agricultural development and is increasingly conscious of the ecological environment;(3) Significant spatial differentiation in water resource utilization characteristics exists in Hainan Island, with the western region being a hot spot aggregation area for per capita water resource ecological footprint, per capita ecological carrying capacity of water resources, water consumption per 10 000 yuan GDP, while it is a cold spot cluster area for per capita ecological deficit of water resources. The opposite holds true for the eastern region of Hainan Island;(4) Economic and technological factors have a major impact on the changes in water resource ecological footprint within the designated area. Among them, economic factors drive the growth of the water resource ecological footprint in Hainan Island, and exacerbate local water resource consumption, while technological factors negatively contribute to the amount of water resource utilization in Hainan Island, indicating that advanced technology has improved water resource utilization efficiency and significantly reduced water resource consumption.

基于PLUS模型的2030年滹沱河流域山区段生态承载力时空格局多情景预测

为探讨滹沱河流域山区段当前及未来不同发展情景下生态承载力的时空变化,应用植被净初级生产力改进的生态足迹模型测算分析了流域2015—2020年生态承载力的时空格局变化,并借助经过精度验证的PLUS模型对2030年区域自然发展、经济发展及生态保护三种发展情景下的生态承载力时空格局进行预测。结果表明:2015—2030年滹沱河流域山区段单位面积生态承载力整体格局变化不大,但内部空间分异明显,整体呈东南及西北区域单位面积生态承载力高,而东北、西南部区域单位面积生态承载力低的特点。2015—2020年区域生态承载力总量由1.0780×10^(6)bhm^(2)增加到1.0796×10^(6)bhm^(2),呈上升趋势;2030年自然发展和经济发展情景下区域生态承载力总量分别为1.0783×10^(6)、1.0782×10^(6)bhm^(2),与2020年相比呈下降趋势,草地向耕地的转移、林地向建设用地的转移是生态承载力下降的主要原因;2030年生态保护情景下生态承载力总量为1.0802×10^(6)bhm^(2),与2020年相比呈上升趋势,耕地向林地、草地转移是区域生态承载力增加的主要原因。各类用地的生态承载力总量由高到低依次为草地>耕地>林地>建设用地>水域,生态保护情景有益于林地、草地生态承载力总量的增加,经济发展情景有益于耕地和建设用地生态承载力总量的增加,水域生态承载力总量在各种发展情景下变化较小。生态保护情景更有利于未来生态承载力的增加,符合区域未来发展方向。严格控制草地向耕地的转变以及林地向建设用地的转变,继续实施退耕还林、还草生态工程,加强区域废弃矿山生态复垦的力度,将会提高区域未来生态承载力,实现区域生态安全及经济、社会、生态的可持续发展。

长江经济带生态文明建设水平变化特征与影响因素分析

长江经济带生态文明建设水平的高低关系到长江流域绿色协调发展能力,深刻影响我国生态安全格局。从生态经济、生态环境、生态社会3个层面构建评价指标体系,使用改进TOPSIS方法模型测算长江经济带生态文明建设水平,利用地理加权回归模型(GWR)分析其影响因子。研究结果表明:(1)在2011—2020年,长江经济带生态文明建设水平整体上呈上升趋势,由东向西沿轴线逐步扩散。(2)各子系统建设水平异质性特征显著,生态经济建设水平东部高于西部,以长江下游地区和省会城市为核心向周围辐射发展;生态环境水平在各省会及其周边城市增长较快,而工业发展型城市有不同程度的降低。生态社会水平高值区集中分布在江浙沪地区,低值区分散分布于中上游各省会城市。(3)地形、常住人口城镇化水平、第三产业占比、恩格尔系数、科技财政支出占比均正向影响了研究区生态文明建设水平,每万人在校大学生数对生态文明建设水平呈弱负相关。

中国水产品贸易生态足迹时空演变与动态预测

国际贸易下的生态输入与输出在一定程度上会重新配置国家及地区之间的生态环境资源。中国在大力发展水产品贸易的同时,也面临着由此带来的生态资源损失等问题。基于生态足迹模型测算2001—2020年中国与35个主要国家和地区的水产品贸易生态足迹和生态净值进行现状评价,通过ArcGIS揭示生态净值的时空演变特征,并运用ARIMA模型预测其未来变化趋势。研究结果表明:(1)中国水产品进口与出口生态足迹值较大,不同种类水产品贸易生态足迹值差距较大。(2)中国水产品贸易生态净值虽然近期呈现显著上升趋势,但整体生态净值态势不稳定,而且不同种类水产品贸易生态净值差别较大。(3)中国水产品贸易生态净值在时间维度上整体变化程度不高,但在空间维度上存在明显的异质性问题,并且集中程度变化较为明显。(4)中国水产品出口贸易生态足迹和进口贸易生态足迹主要国家分布基本保持稳定,但是少数主要国家变化明显,水产品出口贸易和进口贸易集中度均较高。(5)预测2021—2025年中国水产品出口和进口生态足迹处于明显不平衡状态,2025年中国水产品贸易生态净值空间分布依然存在明显的异质性问题。因此,本研究从优化水产品贸易结构、畅通产业双循环路径、提升海洋科技创新能力、深化多边贸易合作体制等不同维度提出优化中国水产品贸易生态足迹的相关对策建议,为中国水产品贸易可持续发展提供现实依据。

基于系统动力学模型的山东省水资源生态足迹预测

在资源环境可持续发展和生态文明建设得到重视的时代,水资源的供需均衡是衡量一个区域社会经济发展的重要因素,而与水资源有关的生态足迹相关概念被越来越多的专家和学者所采用,是一个具有关键意义的衡量指标。然而,在这方面的研究中,现有学者主要集中于现状的分析与探讨,缺乏对未来的预测。经济蓬勃、人口稠密的山东省存在由于社会经济的快速发展而导致的水资源供需紧张的问题,亟需寻求保障水资源和社会经济协调发展的可持续方案。根据水资源生态足迹模型和山东省水资源供需系统动力学模型,设计SD1 (维持现状)、SD2(发展经济)、SD3 (节约用水)和SD4 (综合开发)等情景对2022-2050年山东省水资源生态足迹和生态承载力进行预测。结果表明,2022-2050年情景SD1~SD4下山东省水资源的人均生态足迹的平均数值分别为0.408、0.447、0.319和0.412 hm^(2)/人,水资源的人均生态承载力的平均数值都为0.130 hm^(2)/人,由此导致0.278、0.317、0.189和0.282 hm^(2)/人的人均水资源生态亏损;水资源生态压力指数和水资源生态经济协调指数均值分别为3.149、3.458、2.466和3.188及1.257、1.242、1.304和1.259,山东省未来情景下水资源利用压力较大,不安全利用的状态将会持续。从水资源生态足迹的角度对4种情景进行比较,综合发展型情景SD4具有合适的评价指标,既能保证经济发展,也能减少水资源利用的不安全程度,山东省未来发展应采取此类情景,但同时要提高各行业用水效率、加强全社会节水意识,既“开源”又“节流”,才能保障水资源的可持续发展。

基于遥感生态指数改进模型的沱江流域生态环境质量时空变化及驱动力研究

[目的]沱江流域面临严重的水土流失、水环境污染和土壤侵蚀等生态环境问题,开展流域生态环境质量评价对推动长江上游生态环境保护和流域社会经济高质量可持续发展具有重要意义。[方法]基于谷歌地球引擎平台,选取2000-2020年的Landsat遥感影像,以绿度、湿度、热度、干度、生物丰度指数构建生态环境质量评价模型,采用变异系数、一元线性回归和空间自相关分析方法对流域内生态环境质量的时空演变格局进行分析,并运用最优参数地理探测器模型(optimal parameter geographic detector model,OPGD)对其驱动力进行探测。[结果](1)2000-2020年,沱江流域生态环境质量多年平均值为0.66,等级以良为主,占比为63.01%。成都周边区县、内江、自贡、泸州等城镇地区生态环境质量较差,呈现南北低中间高的空间分布格局。(2)沱江流域生态环境质量总体呈下降趋势,生态环境质量变差的趋势显著,轻微退化和显著退化面积占比分别为19.75%和5.88%。人口密度大,社会经济发展水平高的城镇化地区,生态环境质量以较高波动为主,占比为18.15%。(3)2000-2020年沱江流域全局自相关莫兰指数范围为0.769~0.870,主要分布在第1象限和第3象限,局部自相关的高-高集聚区和低-低集聚区范围随时间呈显著变化,景观斑块破碎化明显。(4)OPGD结果表明,土地利用类型、坡度、高程、夜间灯光为流域生态环境质量变化的主要驱动因子,人口密度、气温和GDP为次要驱动因子,降水量和坡向因子影响较小。土地利用类型与其他因子交互作用增强对流域内生态环境质量变化的影响。[结论]改进的遥感生态指数模型对开展区域生态环境质量评价提供新方法,研究结果为生态环境保护提供参考。