自然资源学报 ›› 2014, Vol. 29 ›› Issue (5): 789-800.doi: 10.11849/zrzyxb.2014.05.006

• 资源生态 • 上一篇    下一篇

湖泊营养物生态分区:中国东北的分区试验

柯新利1,2, 刘曼3, 邓祥征2   

  1. 1. 华中农业大学土地管理学院, 武汉430070;
    2. 中国科学院地理科学与资源研究所, 北京100101;
    3. 新疆大学资源与环境科学学院, 乌鲁木齐830046
  • 收稿日期:2012-09-18 修回日期:2014-02-11 出版日期:2014-05-20 发布日期:2014-05-20
  • 作者简介:柯新利(1977-),男,湖北天门人,副教授,博士,博士生导师,中国自然资源学会会员(S110009110M),主要研究方向为生态系统空间分析及生态分区。E-mail:kexl@igsnrr.ac.cn
  • 基金资助:
    国家水体污染控制与治理科技重大专项(2009ZX07106-001-03,2009ZX07106-001-07)。

Ecoregion of Lake Nutrients:A Case Study of Northeast China

KE Xin-li1,2, LIU Man3, DENG Xiang-zheng2   

  1. 1. College of Land Management, Huazhong Agricultural University, Wuhan 430070, China;
    2. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
    3. College of Resources & Environment Science, Xinjiang University, Urumqi 830046, China
  • Received:2012-09-18 Revised:2014-02-11 Online:2014-05-20 Published:2014-05-20
  • Contact: 邓祥征(1971-),男,山东日照人,研究员,博士,博士生导师。E-mail:dengxz.ccap@igsnrr.ac.cn E-mail:dengxz.ccap@igsnrr.ac.cn
  • About author:10.11849/zrzyxb.2014.05.006

摘要: 湖泊营养物生态分区是实现湖泊富营养化分区控制的基础。论文以东北区为研究区域,从自然地理要素、生态系统和人类活动三方面建立指标体系,利用粗糙集方法确定各指标的权重,并据此计算栅格尺度湖泊营养物生态分区评价分值,并将其投影到小流域尺度上。在小流域尺度采用双约束空间聚类算法开展湖泊营养物生态分区。结果表明:①采用粗糙集方法,运用属性重要度确定各属性的客观权重,适合用于测算湖泊营养物生态分区指标体系中各指标的权重;②采用双约束空间聚类进行湖泊营养物生态分区,保证了分区结果在空间上的连续性和评价分值上的接近性;③可以将东北区分为大兴安岭北部山地区、小兴安岭山地-三江平原区、长白山山地区、松嫩平原区和辽东、辽西丘陵-辽河平原区。

Abstract: In recent years, the problem of lake eutrophication becomes more and more serious in China, moreover, there are many lakes in China. Furthermore, the geographical environment and degree of eutrophication of the lakes are various among different lakes. So it is urgent to manage and control lake eutrophication regionally in China. Ecoregion of lake nutrients is the basis and premise of lake nutrients and its eutrophication effect control in China. Taking lake areas of Northeast China as a case of the study, an ecoregion method system for lake nutrients and its eutrophication effect which is based on rough set method is discussed in this paper. Firstly, the index system of lake nutrients ecoregion is built up from three aspects such as physiographical environment, ecological index and human activities. Secondly, the rough set method is employed to calculate weights for each index in the ecoregional index system. In this paper, Chl-a/TP and Chl-a/TN are taken as the decision attributes, while factors such as land use situation, DEM, landform, annual accumulated temperature, annual total precipitation, phosphorus content and nitrogen content in the soil, population density and GDP etc. as the condition attributes of rough set method, to work out weights for each index. Thirdly, combining with weights of each index and its value, the assessment score for lake nutrients region in raster format can be figured out. And then, this kind of assessment score is projected to watersheds in the study area. Finally, dual-constraint cluster algorithm is employed to work out the lake nutrient regions by different assessment scores between watersheds. Results show that: 1) Rough set method can figure out the relative weight of each index in an index system from numerous historical data and the relationship between them. So, the influence on the reliability of the result from subjective factors and incompleteness of sample data can be avoided. According to the definition of rough entropy, it is suitable to calculate weights of index for lake nutrients ecoregion that determine objective weight of each attribute by the importance of attribute. 2) Comparing to conventional spatial clustering algorithm, the dual-constrained spatial clustering algorithm considers not only spatial distances between objects but also the similarities of non-spatial attributes between objects. So, eco-regionalization of lakes by nutrient concentration as revealed by the dual-constrained spatial clustering algorithm ensures spatial continuity and score proximity in the partition results. 3) Using the nutrient level data from this study, with the help of rough set method and dual-constrained spatial clustering algorithm, the northeastern humid and semi-humid temperate region of China can be divided into five lake nutrient ecoregions, such as the northern Da Higgan Mts. Mountain Lakes ecoregion, Xiao Hinggan Mountain and Sanjiang Plain Lakes ecoregion, Changbaishan Mountain Lakes ecoregion, the Songnen Plain Lakes ecoregion, and the east Liaoning hilly, west Liaoning hilly, Liaohe Plain Lakes ecoregion.

中图分类号: 

  • Q178.5