2016
DOI: 10.3390/rs8121026
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Dryland Vegetation Functional Response to Altered Rainfall Amounts and Variability Derived from Satellite Time Series Data

Abstract: Vegetation productivity is an essential variable in ecosystem functioning. Vegetation dynamics of dryland ecosystems are most strongly determined by water availability and consequently by rainfall and there is a need to better understand how water limited ecosystems respond to altered rainfall amounts and variability. This response is partly determined by the vegetation functional response to rainfall (β) approximated by the unit change in annual vegetation productivity per unit change in annual rainfall. Here… Show more

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Cited by 14 publications
(8 citation statements)
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“…9d), and hence spatio-temporal changes in rainfall intensity (but characterized by the same amount of seasonal rainfall) will impact vegetation productivity. This has important implications for the use of the rain use efficiency (RUE) (Houerou, 1984) or residual trend analysis (RESTREND) approach (regressing NDVI from annual precipitation and subsequently calculating the residuals as the difference between observed NDVI and NDVI as predicted from annual precipitation) (Evans and Geerken, 2004), which is derived from annually or seasonally summed rainfall and commonly used as an indicator for land degradation (Archer, 2004;Bai et al, 2008;Fensholt and Kjeld, 2011;Prince et al, 1998;Ratzmann et al, 2016;Wessels et al, 2007) as discussed in Ratzmann et al (2016). Interestingly, a limited impact of rainfall seasonality on growing season ANPP was found in arid lands below 300 mm yr −1 rainfall, suggesting that the species composition was adapted to rainfall variation and that the rather sparse vegetation cover was able to effectively utilize rainfall independent of the seasonal distribution.…”
Section: Discussionmentioning
confidence: 99%
“…9d), and hence spatio-temporal changes in rainfall intensity (but characterized by the same amount of seasonal rainfall) will impact vegetation productivity. This has important implications for the use of the rain use efficiency (RUE) (Houerou, 1984) or residual trend analysis (RESTREND) approach (regressing NDVI from annual precipitation and subsequently calculating the residuals as the difference between observed NDVI and NDVI as predicted from annual precipitation) (Evans and Geerken, 2004), which is derived from annually or seasonally summed rainfall and commonly used as an indicator for land degradation (Archer, 2004;Bai et al, 2008;Fensholt and Kjeld, 2011;Prince et al, 1998;Ratzmann et al, 2016;Wessels et al, 2007) as discussed in Ratzmann et al (2016). Interestingly, a limited impact of rainfall seasonality on growing season ANPP was found in arid lands below 300 mm yr −1 rainfall, suggesting that the species composition was adapted to rainfall variation and that the rather sparse vegetation cover was able to effectively utilize rainfall independent of the seasonal distribution.…”
Section: Discussionmentioning
confidence: 99%
“…Vegetation productivity in drylands is related to the soil-water status [37]. Therefore, the significantly and almost tenfold higher value for mean cover by the predominant shrub species (H. scoparium) in intact-terrace plots, compared to collapsed-terrace plots (Table 1), is attributed to the effective harvest of runoff water in the former, compared to the leaking of runoff water through gaps in the plots' downslope terraces in the latter.…”
Section: Ground Surface Cover and Implications For Surface Processesmentioning
confidence: 99%
“…Desert ecosystem is characterized as a water‐limited ecosystem with low water input (Noy‐Meir, ). In desert ecosystems, soil moisture, especially soil water availability, is of critical importance in sustaining ecological processes and vegetation dynamics (Loik, Breshears, Lauenroth, & Belnap, ; Ratzmann, Gangkofner, Tietjen, & Fensholt, ; Zhang, Zhao, Liu, Fang, & Feng, ). Therefore, the reasonable management of limited rainfall into soil water has always been the central issue in arid desert areas.…”
Section: Introductionmentioning
confidence: 99%