以数码照相法估算生物土壤结皮盖度

吴 林1; 2; 张元明1

doi:10.7522/j.issn.1000-694X.2013.00269

中国沙漠 >

2013 , Vol. 33 >Issue 6: 1810 - 1815

DOI: https://doi.org/10.7522/j.issn.1000-694X.2013.00269

生物与土壤

以数码照相法估算生物土壤结皮盖度

吴林1 ,
2 ,
张元明1

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1.中国科学院新疆生态与地理研究所干旱区生物地理与生物资源重点实验室,新疆乌鲁木齐 830011;
2.中国科学院大学, 北京 100049

收稿日期: 2012-09-18

修回日期: 2012-12-17

网络出版日期: 2012-12-17

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Coverage Estimation on Biological Soil Crusts Based on Digital Photos

WU Lin1 ,
2 ,
ZHANG Yuan-ming1

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1.Key Laboratory of Biogeography and Bioresources in Arid Land, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China;
2.University of Chinese Academy of Sciences, Beijing 100049, China

Received date: 2012-09-18

Revised date: 2012-12-17

Online published: 2012-12-17

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摘要

生物土壤结皮(BSC)是由藻类、地衣、苔藓和土壤中微生物形成的一类有机复合体,是干旱荒漠地区主要的地表覆被类型。由于藻、地衣和苔藓呈非连续性斑块状分布,准确估算它们的盖度比较困难。传统的估算方法主要是样方法和遥感影像法,样方法在野外操作中虽然比较精确但是费时,遥感影像法虽然快速但是误差大。本文试图通过数码照相法获取BSC地表分布信息,然后利用最大似然监督分类法对苔藓结皮、地衣结皮和藻结皮盖度进行分类计算,并用野外原位调查进行验证。结果表明,本文采用的照相法与传统样方法的相关性达到了94.45%,照相法可以有效地用于BSC盖度的估算,提高了盖度估算的效率。

关键词： 数码照相; 生物土壤结皮; 盖度; 监督分类

本文引用格式

吴林1 , 2 , 张元明1 . 以数码照相法估算生物土壤结皮盖度[J]. 中国沙漠, 2013 , 33(6) : 1810 -1815 . DOI: 10.7522/j.issn.1000-694X.2013.00269

Abstract

Biological soil crusts (BSC), consisting of cyanobacteria, algae, lichens and mosses, are widely distributed in arid and semi-arid regions. Due to resource heterogeneity, the distribution patterns of algae, lichens and mosses are discontinuous and patchy. Thus, the BSC coverage is difficult to be estimated in an accurately and quickly way, particularly in the separation of coverage from each component. Quadrat method and remote-sensing image are often used to estimate the coverage of BSCs. However, both of the two traditional methods have disadvantages. Quadrat method is difficult and time-consuming, although it is relatively accurate. Similarly, remote-sensing image can be used to estimate the coverage of BSC in regional scale, but the low accuracy limits its well development in specific scale. In this paper, the distributional data of BSC were obtained from digital photos. Coverage of different BSC types (algal crusts, lichen crusts and moss crusts) was calculated by using maximum likelihood supervised classification. In order to validate the accuracy, some sampling point sites were randomly selected to determine the correlation between the coverage analyzed by supervised classification and in method of quadrat. There existed significant correlations (R2=94.45%, p<0.01) between the two methods. The results indicated that method of digital photos is a proper way to estimate the coverage of different BSC types, and the estimation efficiency could be greatly increased.

Key words： digital photo; biological soil crusts; coverage; supervised classification

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