生态活度生态位--理论、方法及其应用

“生态活度生态位（Eco-vigor Niche）”是对生态位概念和理论的发展．它描述区域生态系统中一个占据特定空间位置的复合生态系统单元（或景观斑块）．在与其它单元相互作用过程中所形成的相对地位与作用。在由自然生态活度坐标和社会经济生态活度坐标构成的二维空间中．生态活度生态位可以用二维空间中的矢量表达。该矢量的“长度”意味着,生态系统单元的资源优势程度与提供生态服务的能力;矢量的“方向”则意味着该生态系统单元所具有的．由其社会经济生态活度和自然生态活度相比较而体现出来的属性．反映出该单元在区域复合生态系统中的性质和角色。“生态活度生态位”可以表达区域生态系统内的空间分异特征。反映各生态单元在区域内扮演的角色．判断各单元在区域生态系统中的功能定位．为生态区划、生态规划、土地利用规划等提供依据。

Eco-vigor Niche--Theory, Method and Application

The concept of eco-vigor niche(EVN) describes the function and role of an eco-unit(or a landscape patch) within a regional compound-ecosystem,formed in the process of mutual interaction with other units.It is a development of the concept of niche.In the two-dimensional-space composed of social-economic eco-vigor coordinates and natural eco-vigor coordinates,EVN is expressed as a vector in the two-dimension space.The "length" of the EVN vector means the resource advantage or capacity of providing eco-service of an eco-unit.The "direction" of EVN vector means the comparative attributes of social-economy and natural characters of an eco-unit,reflecting the relative function of an eco-unit in a regional compound-ecosystem.EVN can be used to deliver the spatial differentia of the region,reflect the ecological role and functional orientation of an eco-unit.These contribute to the regional eco-regionalization,eco-planning and regional land planning.In the case study of ecologically sustainable development planning of Guangzhou,an indicator system is first set up,which uses population,economy density and educational data to construct social-economic eco-vigor coordinates,and uses environmental,urban thermal field and eco-service value of vegetation coverage to construct natural eco-vigor coordinates.Then with GIS special analysis technology,the EVN calculation is carried out for every identified eco-unit(in this case,villages are the smallest identifiable eco-unit with necessary data available).Then with certain arithmetic,special clustering is done to obtain the regional EVN evaluation map.The concept and methodology of EVN has been proven to be effective.