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DOI10.1016/j.ecolind.2019.105545
Trend-cycles of vegetation dynamics as a tool for land degradation assessment and monitoring
Easdale, M. H.1; Farina, C.1; Hara, S.1; Perez Leon, N.1; Umana, F.2; Tittonell, P.1,3,4; Bruzzone, O.1
通讯作者Easdale, M. H.
来源期刊ECOLOGICAL INDICATORS
ISSN1470-160X
EISSN1872-7034
出版年2019
卷号107
英文摘要The use of time series of Normalized Difference Vegetation Index (NDVI), obtained from satellite sensors has become frequent in studies for land degradation assessment and monitoring. Linear trends of NDVI are usually considered as indicators of vegetation dynamics and widely used as proxies for land degradation. Yet, long-term trends of NDVI often exhibit unidirectional (monotonic) but also cyclic (non-monotonic) dynamics, including mid-term oscillations, both of which are poorly captured by linear trends. Trend-cycle is a time series analysis that represents a smoothed version of a seasonally adjusted time series, which provides information on long-term movements while including changes in direction underlying the series. We assessed NDVI trend-cycles in Patagonia (Argentina) as proxies for land dynamics, integrating trend and medium-term cycles (> 4 years). We used MODIS images between years 2000 and mid-2018; trend-cycles were analysed using the Basis Pursuit method. We observed that trend-cycles explained a significant portion of total temporal variability (reaching almost 20%), from which most patterns were explained by non-monotonic behaviour. We identified five major patterns in vegetation dynamics: decreasing (0.1% of area), increasing (0.6%), recovery (48.8%), relapsing (36.8%) and no trend-cycle (13.8%). Contrary to what is generally seen in the literature, monotonic patterns and particularly decreasing trend-cycles were marginally recorded in the last 18 years of NDVI records in Patagonia. Instead, the greater proportion of the area was classified as initial or advanced recovery and initial relapsing patterns, which refer to phases of a cyclic behaviour. We call for the need to revisit the conceptualization of land degradation assessment by means of remote sensing, and to critically review the ability of linear trends to reflect vegetation dynamics. Finally, we discuss the potential use of trend-cycle as a tool to monitor land dynamics and progress towards land degradation neutrality.
英文关键词NDVI trends Desertification Dryland Monitoring systems Wavelet
类型Article
语种英语
国家Argentina ; Netherlands ; France
开放获取类型Green Published
收录类别SCI-E
WOS记录号WOS:000490757500012
WOS关键词VOLCANIC ASH DEPOSITS ; NDVI TIME-SERIES ; AVHRR ; PATAGONIA ; SYSTEMS ; DESERTIFICATION ; VARIABILITY ; RESPONSES ; ERUPTION ; DRYLANDS
WOS类目Biodiversity Conservation ; Environmental Sciences
WOS研究方向Biodiversity & Conservation ; Environmental Sciences & Ecology
EI主题词2019-12-01
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/311337
作者单位1.INIA CONICET, Inst Invest Forestales & Agr Bariloche IFAB, Av Modesta Victoria 4450,CC 277, RA-8400 San Carlos De Bariloche, Rio Negro, Argentina;
2.INTA, San Carlos De Bariloche, Rio Negro, Argentina;
3.Univ Groningen, Groningen Inst Evolutionary Life Sci, POB 11103, NL-9700 CC Groningen, Netherlands;
4.Univ Montpellier, Ctr Cooperat Int Rech Agron Dev CIRAD, Agroecol & Intensificat Durable AIDA, F-34000 Montpellier, France
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Easdale, M. H.,Farina, C.,Hara, S.,et al. Trend-cycles of vegetation dynamics as a tool for land degradation assessment and monitoring[J],2019,107.
APA Easdale, M. H..,Farina, C..,Hara, S..,Perez Leon, N..,Umana, F..,...&Bruzzone, O..(2019).Trend-cycles of vegetation dynamics as a tool for land degradation assessment and monitoring.ECOLOGICAL INDICATORS,107.
MLA Easdale, M. H.,et al."Trend-cycles of vegetation dynamics as a tool for land degradation assessment and monitoring".ECOLOGICAL INDICATORS 107(2019).
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