基于植被光谱监测喀斯特异质性生境可行性研究

doi:10.3964/j.issn.1000-0593(2012)07-1891-04

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Abstract Karst regions are typically ecological fragile zones constrained by geological setting, which resulted in high heterogeneity of vegetation standing conditions. The karst vegetation was featured with stone, dry and high calcium carbonate content growth conditions. Based on vegetation spectral analysis and canonical correspondence analysis (CCA), the present study aimed to examine the feasibility of using vegetation spectra to monitor the heterogeneous karst standing conditions. The results showed that there were significant differences between karst vegetation and non-karst vegetation within the spectral range of 1 300～2 500 nm reflectance and 400～680 nm first-derivative spectra. It was found that soil moisture and calcium carbonate contents had the most significant effects on vegetation spectral features in karst regions. Ordination diagrams of CCA could distinguish the differences of karst vegetation and non-karst vegetation. Our study demonstrates that vegetation spectra are highly related to karst standing conditions and it is feasible to monitor karst standing conditions with vegetation spectral features.

Key words：Vegetation spectra;Standing conditions;Canonical correspondence analysis;Karst

Received: 2011-11-19 Accepted: 2012-02-18

ZTFLH:

O657.3

Corresponding Authors: WANG Ke-lin E-mail: ymyue@isa.ac.cn

Cite this article:

YUE Yue-min,WANG Ke-lin,XIONG Ying. Feasibility of Monitoring Karst Standing Conditions with Vegetation Spectra[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2012, 32(07): 1891-1894.

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https://www.gpxygpfx.com/EN/10.3964/j.issn.1000-0593(2012)07-1891-04 OR https://www.gpxygpfx.com/EN/Y2012/V32/I07/1891

[1] YUAN Dao-xian, ZHANG Cheng(袁道先, 章程). Acta Geoscientica Sinica(地球学报), 2008, 29(3): 355.
[2] LIU Cong-qiang, LANG Yun-chao, LI Si-liang, et al(刘丛强, 郎赟超, 李思亮, 等). Earth Science Frontiers(地学前缘), 2009, 16(6): 1.
[3] GUO Ke, LIU Chang-cheng, DONG Ming(郭柯, 刘长成, 董鸣). Chinese Journal of Plant Ecology(植物生态学报), 2011, 35(10): 991.
[4] LI Xian-kun, SU Zong-ming, Lü Shi-hong, et al(李先琨, 苏宗明, 吕仕洪, 等). Journal of Mountain Research(山地学报), 2003, 21(2): 129.
[5] RONG Li, WANG Shi-jie, LIU Ning, et al(容丽, 王世杰, 刘宁, 等). Journal of Mountain Research(山地学报), 2005, 23(1): 35.
[6] YANG Cheng, LIU Cong-qiang, SONG Zhao-liang, et al(杨成, 刘丛强, 宋照亮, 等). Ecology and Environment(生态与环境), 2007, 16(2): 503.
[7] Asner G P. Remote Sensing of Environment, 1998, 64: 234.
[8] Martin M E, Newman S D, Aber J D, et al. Remote Sensing of Environment, 1998, 65: 249.
[9] Schmidtlein S. Journal of Applied Ecology, 2005, 42: 966.
[10] Milton N M, Mouat D A. Photogrmmetric Engineering and Remote Sensing, 1989, 55: 1167.
[11] Garnier E, Shipley B, Roumet C, et al. Functional Ecology, 2001, 15: 688.
[12] Ceccato P, Flasse S, Tarantola S, et al. Remote Sensing of Environment, 2001, 77: 22.
[13] Guisan A, Weiss S B, Weiss A D, et al. Plant Ecology, 1999, 143: 107.
[14] Armitage R P, Kent M, Weaver R E. International Journal of Remote Sensing, 2004, 25(17): 3369.
[15] ter Braak C J F. Ecology, 1986, 67: 1167.
[16] Galvao L S, Formaggio A R, Tisot D A. Remote Sensing of Environment, 2005, 94: 523.
[17] Brown H E, Diuk-Wasser M A, Guan Y T, et al. Remote Sensing of Environment, 2008, 112(5): 2301.
[18] Jacquemoud S, Baret F. Remote Sensing of Environment, 1990, 34: 74.
[19] Sims D A, Gamon J A. Remote Sensing of Environment, 2002, 81: 337.
[20] YUE Yue-min, WANG Ke-lin, ZHANG Wei, et al(岳跃民, 王克林, 张伟, 等). Environmental Science(环境科学), 2008, 29(5): 243.