气候变化领域集成服务门户(CCPortal): Archetypal temporal dynamics of arid and semi-arid rangelands

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DOI	10.1016/j.rse.2020.112279
	Archetypal temporal dynamics of arid and semi-arid rangelands
	Bruzzone O.; Easdale M.H.
发表日期	2021
ISSN	00344257
卷号	254
英文摘要	The way in which temporal dynamics structure ecological systems under the influence of a changing environment has long interested ecologists. Tackling the hierarchical structure of complex temporal patterns is a necessary step towards a more complete description of the fundamental nature of temporal dynamics in ecosystems. In pursuance of this task, remote sensing data provide valuable information to classify and describe functional features of ecosystems across scales. To approach the temporal complexity of ecosystems, we proposed a stepwise procedure based on combinations of big data techniques and time series analyses applied to data series of the Normalized Difference Vegetation Index (NDVI). The aim was to classify the temporal patterns and identify the differences in temporal dynamics of vegetation, by means of the frequency-domain and time-frequency domain components of a 20-year period of NDVI time series, respectively. In addition, we analysed the influence of climate in the temporal dynamics of vegetation. In particular, we applied archetype analysis to fast Fourier transform coefficients, using pixels as analytical units and frequencies as variables, of a large study area from North Patagonia, Argentina. Then, the most representative pixels for each archetype were used to analyse the explained variance by climatic predictor variables (temperature and precipitation) using a multiplicative model, whereas NDVI temporal dynamics was also described by means of time-frequency domain components with wavelet analysis, respectively. Six archetypes of temporal dynamics of arid and semi-arid rangelands were identified, as well as the main patterns of their distinctive frequencies through time and spatial location, respectively. The differences in temporal dynamics among archetypes were partly associated with climate and spatial features such as topography. The procedure was sensitive to capturing these temporal patterns, even those with a low data representation or noisy series while synthesizing information for an easy interpretation. Results are discussed in the light of future opportunities to combine this kind of information with other sources of information, aiming at the development of reliable land degradation and desertification assessment and monitoring tools. © 2020 Elsevier Inc.
英文关键词	Desertification; Fourier; Land degradation; Time series analysis; Time-frequency; Wavelet
语种	英语
scopus关键词	Dynamics; Ecosystems; Fast Fourier transforms; Frequency domain analysis; Pixels; Remote sensing; Time series; Time series analysis; Topography; Vegetation; Assessment and monitoring; Changing environment; Data representations; Hierarchical structures; Multiplicative model; Normalized difference vegetation index; Sources of informations; Time frequency domain; Classification (of information); desertification; Fourier transform; land degradation; NDVI; rangeland; semiarid region; temporal analysis; time series analysis; wavelet analysis; Argentina; Patagonia
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/178977
作者单位	Instituto de Investigaciones Forestales y Agropecuarias Bariloche (IFAB), INTA-CONICET. Av., Modesta Victoria 4450 (8400), San Carlos de Bariloche, Río Negro, Argentina
推荐引用方式 GB/T 7714	Bruzzone O.,Easdale M.H.. Archetypal temporal dynamics of arid and semi-arid rangelands[J],2021,254.
APA	Bruzzone O.,&Easdale M.H..(2021).Archetypal temporal dynamics of arid and semi-arid rangelands.Remote Sensing of Environment,254.
MLA	Bruzzone O.,et al."Archetypal temporal dynamics of arid and semi-arid rangelands".Remote Sensing of Environment 254(2021).