Remote sensing detection of droughts in Amazonian forest canopies

Anderson, Liana O.; Malhi, Yadvinder; Aragão, Luiz E. O. C.; Ladle, Richard J.; Arai, Egídio; Barbier, Nicolas; Phillips, Oliver L.

doi:10.1111/j.1469-8137.2010.03355.x

Cited by 190 publications

(178 citation statements)

References 77 publications

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“…The adverse effects of extreme droughts on vegetation have been widely studied using remote sensing data or drought indices [22][23][24][25][26][27][28][29]. The relationship between vegetation indices and drought indices, such as SPI [23] or PDSI [30], was found in different land cover or different seasons.…”

Section: Introductionmentioning

confidence: 99%

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Responses of Natural Vegetation to Different Stages of Extreme Drought during 2009–2010 in Southwestern China

et al. 2015

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An extreme drought event is usually a long-term process with different stages. Although it is well known that extreme droughts that have occurred frequently in recent years can substantially affect vegetation growth, few studies have revealed the characteristics of vegetation responses for different stages of an extreme drought event. Especially, studies should address when the vegetation growth was disturbed and how it recovered through an extreme drought event. In this study, we used the Normalized Difference Vegetation Index (NDVI) and Palmer Drought Severity Index (PDSI) to evaluate the response of vegetation to different stages of a severe drought event during 2009-2010 throughout Southwestern China. The PDSI time series indicated that the drought can be divided into three stages, including an initial stage represented by moderate drought (S1), a middle stage represented by continual severe drought (S2), and a final recovery stage (S3). The results revealed that the drought during the initial stage inhibited the growth of grassland and woody savanna, however, forest growth did not decrease during the first stage of droughts, and there was even a trend towards higher NDVI values. OPEN ACCESSRemote Sens. 2015, 7 14040The continual severe drought in the middle stage inhibited growth for all vegetation types, and the woody savanna was affected most severely. In the final stage, all vegetation types underwent recovery, including the grassland that had endured the most severe drought. This study provides observational evidence and reveals that the responses of forest to the extreme drought are different from grassland and woody savanna in the different drought stages.

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Section: Introductionmentioning

confidence: 99%

“…The Z-score method has been used in the detection of anomalies [17,24]. The Z-score for a variable is calculated as follows:…”

Section: Analysis Of Abnormal Datamentioning

confidence: 99%

Responses of Natural Vegetation to Different Stages of Extreme Drought during 2009–2010 in Southwestern China

et al. 2015

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“…For example, during the 2010 Amazonian drought, the net CO 2 uptake by a large area of the Amazon forest was reduced (Gatti et al, 2014). Severe droughts can also lead to tree damage, causing mortality and increased fire hazards (Nepstad et al, 2004;Phillips et al, 2009Phillips et al, , 2010Anderson et al, 2010), thereby reducing the carbon sink capacity of the Amazonian biome (Fisher et al, 2007;Mahli et al, 2008;Phillips et al, 2009;Lewis et al, 2011). Drying of the Amazon, coupled with higher temperatures and atmospheric CO 2 concentration, may have nonlinear effects on water and carbon exchanges between soils, vegetation and the atmosphere (Berry et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Predicting the response of the Amazon rainforest to persistent drought conditions under current and future climates: a major challenge for global land surface models

Joetzjer¹,

Delire²,

Koshiro³

et al. 2014

Geosci. Model Dev.

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Abstract. While a majority of global climate models project drier and longer dry seasons over the Amazon under higher CO 2 levels, large uncertainties surround the response of vegetation to persistent droughts in both present-day and future climates. We propose a detailed evaluation of the ability of the ISBA CC (Interaction Soil-Biosphere-Atmosphere Carbon Cycle) land surface model to capture drought effects on both water and carbon budgets, comparing fluxes and stocks at two recent throughfall exclusion (TFE) experiments performed in the Amazon. We also explore the model sensitivity to different water stress functions (WSFs) and to an idealized increase in CO 2 concentration and/or temperature. In spite of a reasonable soil moisture simulation, ISBA CC struggles to correctly simulate the vegetation response to TFE whose amplitude and timing is highly sensitive to the WSF. Under higher CO 2 concentrations, the increased wateruse efficiency (WUE) mitigates the sensitivity of ISBA CC to drought. While one of the proposed WSF formulations improves the response of most ISBA CC fluxes, except respiration, a parameterization of drought-induced tree mortality is missing for an accurate estimate of the vegetation response. Also, a better mechanistic understanding of the forest responses to drought under a warmer climate and higher CO 2 concentration is clearly needed.

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“…Díaz-Delgado et al, 1998;Díaz-Delgado and Pons, 2001;Fox et al, 2008;Gouveia et al, 2010;Bastos et al, 2011) and to monitor vegetation dynamics during the extreme waterstress conditions such as those observed in Portugal during the 2004/05 drought (Gouveia et al, 2009). Several authors have nevertheless shown the better suitability of the Normalised Difference Water Index (NDWI), an index based on MODIS NIR (0.86 µm) and Short-Wave Infra-Red (SWIR -1.24 µm) channels, to monitor leaf water content (Gao, 1996;Ceccato et al, 2001;Hao and Qu, 2007), the effects of drought on the canopy (Gu et al, 2007;Anderson et al, 2010) and fuel moisture content (Maki et al, 2004). Gond et al (2004) have in turn adapted the NDWI index proposed by Gao (1996) to SPOT-VEGETATION instrument datasets, using NIR (0.84 µm) and MIR (1.64 µm) channels (Hagolle et al, 2005).…”

Section: Introductionmentioning

confidence: 99%

Drought impacts on vegetation in the pre- and post-fire events over Iberian Peninsula

Gouveia¹,

Bastos²,

Trigo³

et al. 2012

Nat. Hazards Earth Syst. Sci.

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Abstract. The present work aims to study the combined effect of drought and large wildfires in the Iberian Peninsula relying on remotely sensed data of vegetation dynamics and leaf moisture content, in particular monthly NDVI, NDWI and NDDI time series from 1999-2009, derived from VEG-ETATION dataset. The impact of the exceptional 2004/2005 drought on vegetation was assessed for vegetation recovering from the extraordinary fire season of 2003 and on the conditions that contributed to the onsetting of the fire season of 2005. Drought severity was estimated by the cumulative negative effect on photosynthetic activity (NDVI) and vegetation dryness (NDDI), with about 2/3 of Iberian Peninsula presenting vegetative stress and low water availability conditions, in spring and early summer of 2005. Furthermore, NDDI has shown to be very useful to assess drought, since it combines information on vegetation and water conditions. Moreover, we show that besides looking at the inter-annual variability of NDVI and NDDI, it is useful to evaluate intraannual changes (δNDVI and δNDDI), as indicators of change in vegetation greenness, allowing a detailed picture of the ability of the different land-cover types to resist to short-term dry conditions. In order to assess drought impact on post-fire regeneration, recovery times were evaluated by a mono-parametric model based on NDVI data and values corresponding to drought months were set to no value. Drought has shown to delay recovery times for several months in all the selected scars from 2003.The analysis of vegetation dynamics and fire selectivity in 2005 suggests that fires tended to occur in pixels presenting lower vegetative and water stress conditions during spring and early summer months. Additionally, pre-fire vegetation dynamics, in particular vegetation density and water availability during spring and early summer, has shown to influence significantly the levels of fire damage. These results stress the role of fuel availability in fire occurrence and impact on the Iberian Peninsula.

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Remote sensing detection of droughts in Amazonian forest canopies

Cited by 190 publications

References 77 publications

Responses of Natural Vegetation to Different Stages of Extreme Drought during 2009–2010 in Southwestern China

Responses of Natural Vegetation to Different Stages of Extreme Drought during 2009–2010 in Southwestern China

Predicting the response of the Amazon rainforest to persistent drought conditions under current and future climates: a major challenge for global land surface models

Drought impacts on vegetation in the pre- and post-fire events over Iberian Peninsula

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