CollectHomepage AdvertisementContact usMessage

›› 2017, Vol. 40 ›› Issue (6): 1227-1234.

Previous Articles     Next Articles

Analysis and application of spatial relationship of nutrient accumulation in economic forests in Xinjiang based on spatial statistical theory

XU Zi-jun1, WANG Xi-yuan1, SHI Qing-dong1, ZHANG Yu-tao2, YAN Jian2, CHEN Jiao3   

  1. 1. Key Laboratory of Xinjiang Oasis Ecology and Ecological Research in Xinjiang University, College of Resources and Environment Science, Xinjiang University, Urumqi 830046, Xinjiang, China;
    2. Institute of Forestry Ecology, Xinjiang Academy of Forestry, Urumqi 830000, Xinjiang, China;
    3. Xingjiang Institute of Ecology and Geography, China Academy of Sciences, Urumqi 830046, Xinjiang, China
  • Received:2017-06-01 Revised:2017-09-10 Online:2017-11-25

Abstract: The value evaluation about the ecosystem services of Economic forest is one of the problems that the international and domestic scholars focus on. As an important component of the ecosystem services,directly reflects the growth status of trees. Based on the nutritive ingredients accumulation of seven major economic forests in Xinjiang in 2014,the total material accumulation of nitrogen,phosphorus and potassium in economic forest of Xinjiang is calculated,which is equivalent to 3.14×108 Yuan. After analyzing the data by spatial statistical methods, it is concluded that as follows: (1)The value of the nutrients that are accumulated by different economic forests in Xinjiang was consistent with the theory of spatial agglomeration,which shows that there is a concentrated planting phenomenon in a certain economic forest. (2)GWR model analysis shows that economic forest occupies an important position in forest industry in southern Xinjiang. (3)There are obvious differences in the development of economic forests in southern Xinjiang. The economic forests in Kizilsu Kirgiz Autonomous Prefecture, Hotan and Kashi Prefectures are in the period development. While the economic forests in Aksu and Bayingolin Mongol Autonomous Prefecture are in decline. The above results show by studying the ecological service function, important reference information can be extracted for the development of the economic forest industry in Xinjiang. The ideas and methods used in the research also can make sense to other related studies.

Key words: economic forest in Xinjiang, ecological service value, spatial autocorrelation analysis, geographically weighted regression analysis

CLC Number: 

  • S759.3