资源与生态学报(英文版)
資源與生態學報(英文版)
자원여생태학보(영문판)
JOURNAL OF RESOURCES AND ECOLOGY
2015年
1期
44-51
,共8页
复杂地貌区域%生态敏感区%流域单元%广西%钦州市
複雜地貌區域%生態敏感區%流域單元%廣西%欽州市
복잡지모구역%생태민감구%류역단원%엄서%흠주시
complex geomorphic region%eco-sensitivity%watershed%Guangxi%Qinzhou
复杂地貌区域国土开发受生态环境因素影响较单一地貌地区更复杂,其境内生态敏感区类型较多,且空间分布比较杂乱,不同生态敏感区之间又相互影响。文章选择山、水、林、田、城互为镶嵌的广西钦州市作为案例城市,以小流域为评价单元,建立集“地”、“水”、“绿”三位于一体的评价体系,在遥感和GIS技术的支持下,将单因子定性分级和多因子空间叠加模型相结合,对整个区域的生态敏感区进行综合评价及分区。从研究结果来看,这种评价技术能够较好地反映这些生态敏感区的综合分异规律,有助于当地政府在区域开发中制定更为科学的生态安全防范对策。
複雜地貌區域國土開髮受生態環境因素影響較單一地貌地區更複雜,其境內生態敏感區類型較多,且空間分佈比較雜亂,不同生態敏感區之間又相互影響。文章選擇山、水、林、田、城互為鑲嵌的廣西欽州市作為案例城市,以小流域為評價單元,建立集“地”、“水”、“綠”三位于一體的評價體繫,在遙感和GIS技術的支持下,將單因子定性分級和多因子空間疊加模型相結閤,對整箇區域的生態敏感區進行綜閤評價及分區。從研究結果來看,這種評價技術能夠較好地反映這些生態敏感區的綜閤分異規律,有助于噹地政府在區域開髮中製定更為科學的生態安全防範對策。
복잡지모구역국토개발수생태배경인소영향교단일지모지구경복잡,기경내생태민감구류형교다,차공간분포비교잡란,불동생태민감구지간우상호영향。문장선택산、수、림、전、성호위양감적엄서흠주시작위안례성시,이소류역위평개단원,건립집“지”、“수”、“록”삼위우일체적평개체계,재요감화GIS기술적지지하,장단인자정성분급화다인자공간첩가모형상결합,대정개구역적생태민감구진행종합평개급분구。종연구결과래간,저충평개기술능구교호지반영저사생태민감구적종합분이규률,유조우당지정부재구역개발중제정경위과학적생태안전방범대책。
Eco-sensitivity evaluation is the basis for land development and has practical significance to the establishment of environmentally-friendly economic and social development models. Compared to simple geomorphic regions, complex geomorphic regions are limited by a higher number of eco-sensitivity factors under a land exploitation context. Further still, these factors have complicated spatial characteristics and affect each other. Based on published data, we focused on the city of Qinzhou in Guangxi Zhuang Autonomous Region, China and developed an eco-sensitivity assessment system spanning land ecology, water ecology and plant ecology. A systematic comprehensive assessment of all watersheds was done using qualitative classification, spatial quantitative modeling, remote sensing and GIS technology. We were able to group Qinzhou’s 273 watersheds into three types: high sensitivity areas, medium sensitivity areas and low sensitivity areas. We propose a limit on land exploitation activities in high sensitivity areas and an ecological security network. The methods utilized here can help determine eco-sensitivity characteristics in complex geomorphic regions and with this knowledge governments wil be able to develop robust scientiifc policy to protect regional ecological security.