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
[21]   Forage Production of the Argentine Pampa Region Based on Land Use and Long-Term Normalized Difference Vegetation Index Data [J].
Di Bella, Carlos M. ;
Negri, Ignacio J. ;
Posse, Gabriela ;
Jalmes, Florencia R. ;
Jobbagy, Esteban G. ;
Garbulsky, Martin F. ;
Deregibus, Victor A. .
RANGELAND ECOLOGY & MANAGEMENT, 2009, 62 (02) :163-170
[22]   Characteristics of Drought Events and Their Impact on Vegetation Dynamics in the Arid Region of Northwest China [J].
Zhou, Guixiang ;
Yao, Junqiang ;
Chen, Jing ;
Chen, Yaning ;
Wang, Chuan ;
Mo, Yinxue ;
Ma, Chenzhi ;
Yang, Yuhui ;
Li, Moyan ;
Zheng, Peng .
FORESTS, 2024, 15 (12)
[23]   Long-term fire exclusion and ant community structure in an Australian tropical savanna: congruence with vegetation succession [J].
Andersen, AN ;
Hertog, T ;
Woinarski, JCZ .
JOURNAL OF BIOGEOGRAPHY, 2006, 33 (05) :823-832
[24]   Effects of Long-Term Vegetation Restoration on Distribution of Deep Soil Moisture in Semi-arid Northwest of China [J].
Wang, Limei ;
Ma, Aisheng ;
Zhang, Hong ;
Zhang, Jianguo ;
Dong, Qiang ;
Fu, Guangjun .
JOURNAL OF SOIL SCIENCE AND PLANT NUTRITION, 2020, 20 (04) :2123-2132
[25]   Introducing a rain adjusted vegetation index (RAVI) for improvement long term trend analyses in vegetation dynamics [J].
Wessollek, Christine ;
Karrasch, Pierre ;
Osunmadewa, Babatunde .
EARTH RESOURCES AND ENVIRONMENTAL REMOTE SENSING/GIS APPLICATIONS VI, 2015, 9644
[26]   Building Long-term and Consistent Vegetation Index Based on Association Analysis between Different VI Products [J].
Sha, Zongyao ;
Bai, Yongfei .
ADVANCES IN ENVIRONMENTAL SCIENCE AND ENGINEERING, PTS 1-6, 2012, 518-523 :5261-5266
[27]   Appraisal of long-term responsiveness of normalized difference vegetation index to climatic factors using multiscale time-frequency decomposition in an arid environment [J].
Sonia, Tathagata ;
Sunita, Abdelfattah ;
Ghosh, Tathagata ;
Amari, Abdelfattah ;
Yadav, Virendra Kumar ;
Osman, Haitham ;
Sahoo, Dipak Kumar ;
Patel, Ashish .
FRONTIERS IN EARTH SCIENCE, 2023, 11
[28]   Satellite-based long-term spatiotemporal trends of wildfire in the Himalayan vegetation [J].
Shailja Mamgain ;
Arijit Roy ;
Harish Chandra Karnatak ;
Prakash Chauhan .
Natural Hazards, 2023, 116 :3779-3796
[29]   Satellite-based long-term spatiotemporal trends of wildfire in the Himalayan vegetation [J].
Mamgain, Shailja ;
Roy, Arijit ;
Karnatak, Harish Chandra ;
Chauhan, Prakash .
NATURAL HAZARDS, 2023, 116 (03) :3779-3796
[30]   Long-Term Dynamics of NDVI-Vegetation for Different Classes of Tundra Depending on the Temperature and Precipitation [J].
Degermendzhi, A. G. ;
Vysotskaya, G. S. ;
Somova, L. A. ;
Pisman, T. I. ;
Shevyrnogov, A. P. .
DOKLADY EARTH SCIENCES, 2020, 493 (02) :658-660