生态环境学报
生態環境學報
생태배경학보
ECOLOGY AND ENVIRONMENT
2013年
8期
1365-1370
,共6页
生态足迹核算%省级行政区%长时间尺度%改进生态足迹模型
生態足跡覈算%省級行政區%長時間呎度%改進生態足跡模型
생태족적핵산%성급행정구%장시간척도%개진생태족적모형
ecological footprint measurement%province-level analysis%long-time analysis%improved ecological footprint model
生态足迹可以从生物生产角度定量评估区域社会经济发展的可持续程度。本文运用改进的生态足迹模型对我国各省级行政区1992-2010年的生态足迹进行核算及聚类和相关性分析,以衡量各区域发展的差异及相似程度和分析各省域生态足迹变化的主导因素,并根据核算结果建立了各省区市的生态足迹预测模型,进一步明确各省级行政区的生态足迹变化趋势,以期为区域社会经济发展决策提供参考和借鉴。研究结果显示:近20年来,我国各省域社会经济发展对自然资源的依赖程度及对环境的总体影响存在较大差异。生态足迹的变化可以分为3种类型,即逐渐下降型、明显上升型和基本平稳型。北京和上海的生态足迹变化属于逐渐下降型,分别受对化石燃料用地和耕地需求的减少所主导,其中北京市生态足迹与化石燃料用地的相关系数为0.96,上海市生态足迹与耕地的相关系数为0.703,这2个城市在过去20年中的社会经济发展对自然资源的依赖程度逐渐降低;以内蒙古、山西为代表的化石燃料资源较为丰富的省域生态足迹呈明显上升趋势,这些省域生态足迹的增长受区域化石燃料生产的影响较大,个别省级行政单位生态足迹与化石燃料的相关系数为1;东北三省、东南沿海地区及西部自然资源相对匮乏省区的生态足迹属于基本平稳型。
生態足跡可以從生物生產角度定量評估區域社會經濟髮展的可持續程度。本文運用改進的生態足跡模型對我國各省級行政區1992-2010年的生態足跡進行覈算及聚類和相關性分析,以衡量各區域髮展的差異及相似程度和分析各省域生態足跡變化的主導因素,併根據覈算結果建立瞭各省區市的生態足跡預測模型,進一步明確各省級行政區的生態足跡變化趨勢,以期為區域社會經濟髮展決策提供參攷和藉鑒。研究結果顯示:近20年來,我國各省域社會經濟髮展對自然資源的依賴程度及對環境的總體影響存在較大差異。生態足跡的變化可以分為3種類型,即逐漸下降型、明顯上升型和基本平穩型。北京和上海的生態足跡變化屬于逐漸下降型,分彆受對化石燃料用地和耕地需求的減少所主導,其中北京市生態足跡與化石燃料用地的相關繫數為0.96,上海市生態足跡與耕地的相關繫數為0.703,這2箇城市在過去20年中的社會經濟髮展對自然資源的依賴程度逐漸降低;以內矇古、山西為代錶的化石燃料資源較為豐富的省域生態足跡呈明顯上升趨勢,這些省域生態足跡的增長受區域化石燃料生產的影響較大,箇彆省級行政單位生態足跡與化石燃料的相關繫數為1;東北三省、東南沿海地區及西部自然資源相對匱乏省區的生態足跡屬于基本平穩型。
생태족적가이종생물생산각도정량평고구역사회경제발전적가지속정도。본문운용개진적생태족적모형대아국각성급행정구1992-2010년적생태족적진행핵산급취류화상관성분석,이형량각구역발전적차이급상사정도화분석각성역생태족적변화적주도인소,병근거핵산결과건립료각성구시적생태족적예측모형,진일보명학각성급행정구적생태족적변화추세,이기위구역사회경제발전결책제공삼고화차감。연구결과현시:근20년래,아국각성역사회경제발전대자연자원적의뢰정도급대배경적총체영향존재교대차이。생태족적적변화가이분위3충류형,즉축점하강형、명현상승형화기본평은형。북경화상해적생태족적변화속우축점하강형,분별수대화석연료용지화경지수구적감소소주도,기중북경시생태족적여화석연료용지적상관계수위0.96,상해시생태족적여경지적상관계수위0.703,저2개성시재과거20년중적사회경제발전대자연자원적의뢰정도축점강저;이내몽고、산서위대표적화석연료자원교위봉부적성역생태족적정명현상승추세,저사성역생태족적적증장수구역화석연료생산적영향교대,개별성급행정단위생태족적여화석연료적상관계수위1;동북삼성、동남연해지구급서부자연자원상대궤핍성구적생태족적속우기본평은형。
The concept of ecological footprint can be used to assess the sustainability of regional socioeconomic development from the perspective of biological production. In this work, we used an improved ecological footprint model to measure ecological footprints of all Chinese provinces between 1992 and 2010. Then, we did clustering analysis of the measured ecological footprints to assess the similarity of provincial socioeconomic development, and we also did correlation analysis to diagnose the driving factors of the changes in ecological footprints of each province. In addition, we built predictive models of ecological footprints for each province. The predictive models of ecological footprints were expected to help governmental officials make better decisions about regional socioeconomic development. The results show that the dependence on nature resources and the environmental impacts of socioeconomic development were different among the provinces over the past 20 years (1992-2010). The temporal trends of ecological footprints of the provinces can be assigned into three major types: gradually decreasing, apparently increasing, and relatively stable. The temporal trends of ecological footprints of Beijing and Shanghai belong to the type of gradually decreasing. This was mainly driven by the decreasing demand of fossil fuels and cropland. For Beijing, the value of the correlation coefficient between ecological footprints and fossil fuels land was 0.96. For Shanghai, the value of the correlation coefficient between ecological footprints and cropland was 0.703. For the two large cities, the dependence on natural resources of socioeconomic development was decreasing in the study period. For the provinces with rich fossil fuel reserves, for example Inner Mongolia and Shanxi, the temporal trends of ecological footprints belong to the type of apparently increasing. The increases in ecological footprints of these provinces were mainly driven by fossil fuel production. For some of the provinces in this category, the values of the correlation coefficient between ecological footprints and fossil fuel production were one. For the provinces in Northeastern and Southeastern coastal areas of China and some of the provinces in Western China with scarce natural resources, the temporal trends of ecological footprints belong to the type of relatively stable.