Environmental zonation across the Australian arid region based on long-term vegetation dynamics

被引:11
|
作者
Lawley, E. F. [1 ]
Lewis, M. M. [1 ]
Ostendorf, B. [1 ]
机构
[1] Univ Adelaide, Sch Earth & Environm Sci, Adelaide, SA 5005, Australia
关键词
Arid zone; Interim biogeographic regionalisation for; Australia; NDVI; Principal component analysis; Stratification; PRINCIPAL COMPONENTS-ANALYSIS; LAND-COVER CLASSIFICATION; MONITORING VEGETATION; AVHRR; NDVI; RAINFALL;
D O I
10.1016/j.jaridenv.2011.01.003
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Zonation of landscapes is generally based on broad scale biophysical data, field surveys, imagery and expert knowledge. Such zonation represents a static view of the environment and does not reflect dynamics and function. Arid environments are however often highly dynamic, and spatial and temporal patterns may be expressed over long periods of time. These dynamics need to be understood for management. Our aim is to understand the dynamics and functional response of vegetation in the Australian arid zone, and use this to inform and potentially improve the currently employed stratification. Principal component analysis of 25 years of satellite imagery identified underlying factors influencing patterns of arid vegetation growth, and regions of similar long-term response. Dominant factors of variation were identified as the spatial distribution of total vegetation growth, seasonality of growth, magnitude of seasonal variability in growth, and regularity of variation in growth. Additional variation resulted from episodic vegetation growth of limited spatial extent and duration. Classes expressing these functional components were compared with the existing biogeographical regions, revealing agreement in some instances, and in other cases adding information previously not available. The study demonstrates a new approach to Australian landscape zonation that has potential for much wider application. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:576 / 585
页数:10
相关论文
共 50 条
  • [1] Image acquisition for detection of vegetation change based on long-term rainfall in an arid rangeland in Western NSW, Australia
    Amiraslani, Farshad
    Dragovich, Deirdre
    ENVIRONMENTAL EARTH SCIENCES, 2013, 70 (01) : 83 - 95
  • [2] NDVI-Based Long-Term Vegetation Dynamics and Its Response to Climatic Change in the Mongolian Plateau
    Bao, Gang
    Qin, Zhihao
    Bao, Yuhai
    Zhou, Yi
    Li, Wenjuan
    Sanjjav, Amarjargal
    REMOTE SENSING, 2014, 6 (09) : 8337 - 8358
  • [3] A strategic plan for an Australian Long-Term Environmental Monitoring Network
    Likens, Gene E.
    Lindenmayer, David B.
    AUSTRAL ECOLOGY, 2011, 36 (01) : 1 - 8
  • [4] Image acquisition for detection of vegetation change based on long-term rainfall in an arid rangeland in Western NSW, Australia
    Farshad Amiraslani
    Deirdre Dragovich
    Environmental Earth Sciences, 2013, 70 : 83 - 95
  • [5] Long-term vegetation monitoring with NDVI in a diverse semi-arid setting, central New Mexico, USA
    Weiss, JL
    Gutzler, DS
    Coonrod, JEA
    Dahm, CN
    JOURNAL OF ARID ENVIRONMENTS, 2004, 58 (02) : 249 - 272
  • [6] Seasonal and long-term vegetation dynamics from 1-km GIMMS-based NDVI time series at Mt. Kilimanjaro, Tanzania
    Detsch, Florian
    Otte, Insa
    Appelhans, Tim
    Hemp, Andreas
    Nauss, Thomas
    REMOTE SENSING OF ENVIRONMENT, 2016, 178 : 70 - 83
  • [7] Identification of long term trends in vegetation dynamics in the guinea savannah region of Nigeria
    Osunmadewa, Babatunde A.
    Wessollek, Christine
    Karrasch, Pierre
    REMOTE SENSING FOR AGRICULTURE, ECOSYSTEMS, AND HYDROLOGY XVI, 2014, 9239
  • [8] Long-term patterns of invertebrate abundance and relationships to environmental factors in arid Australia
    Kwok, Alan B. C.
    Wardle, Glenda M.
    Greenville, Aaron C.
    Dickman, Chris R.
    AUSTRAL ECOLOGY, 2016, 41 (05) : 480 - 491
  • [9] Landsat remote sensing approaches for monitoring long-term tree cover dynamics in semi-arid woodlands: Comparison of vegetation indices and spectral mixture analysis
    Yang, Jian
    Weisberg, Peter J.
    Bristow, Nathan A.
    REMOTE SENSING OF ENVIRONMENT, 2012, 119 : 62 - 71
  • [10] The long-term dynamics of surface air temperature in the Altai region
    Chered’ko N.N.
    Geography and Natural Resources, 2015, 36 (2) : 154 - 160