景观统计与景观抽样调查方法

Landscape statistics and landscape sampling methods.

研究大尺度景观时,采用低分辨率遥感数据往往会出现"可塑性面积单元问题",而尺度推演技术也很难保证其结果的可靠性。借鉴统计学基本原理和方法研究景观生态现象的景观统计与抽样调查技术是解决上述问题的一种好的思路与方法,它可使研究者在资源有限的条件下对大尺度景观进行较为精确的研究。本文介绍了景观统计的基本概念,对景观抽样调查和统计推断原理与方法进行了重点讨论,并总结了景观统计的应用范围和应用难点,展望了景观统计的学科发展前景。

In the study of large-scale landscape, adopting low resolution remote sensing data often causes the trouble of modifiable area unit, while scaling-up technique can hardly assure the reliability of the conclusion. Landscape statistics and its sampling technique, in which the basic principles and methods of statistics were applied to landscape ecology, would be a good way for solving the problems mentioned above, being available to the more accurate research on largescale landscape with limited input. In this paper, some basic concepts of landscape statistics were introduced, and the principles and methods of landscape sampling and statistical inference were discussed. The application scope, difficulties, and development prospects in using landscape statistics were also approached.