Vegetation degradation in ENSO events: Drought assessment, soil use and vegetation evapotranspiration in the Western Brazilian Amazon

Vilanova, Regiane Souza; Delgado, Rafael Coll; Andrade, Caio Frossard de; Santos, Gilsonley Lopes dos; Magistrali, Iris Cristiane; Oliveira, Carlos Magno Moreira de; Teodoro, Paulo Eduardo; Capristo-Silva, Guilherme Fernando; Silva, Carlos Antônio da; Rodrigues, Rui

doi:10.1016/j.rsase.2021.100531

Cited by 4 publications

(3 citation statements)

References 33 publications

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“…Taking into account that semi–arid ecosystems are considered the main driver of interannual variability of GPP (Ahlström et al., 2015), and that ENSO is the main climatic driver at the same temporal scale, it is crucial to increase our understanding in this context. Moreover, research focused on tropical savannas and dry forests is extremely relevant in light of decreased rainfall scenarios in places such as the Amazon due to the amplified effects of deforestation, drought, and climate change (Hilker et al., 2014; Parsons et al., 2018; Shiogama et al., 2011; Vilanova et al., 2021; Zemp et al., 2017).…”

Section: Discussionmentioning

confidence: 99%

Spatial Patterns of Vegetation Activity Related to ENSO in Northern South America

Estupinan‐Suarez,

Mahecha,

Brenning

et al. 2024

JGR Biogeosciences

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Interannual variability of vegetation activity (i.e., photosynthesis) is strongly correlated with El Niño Southern Oscillation (ENSO). Globally, a reduction in carbon uptake by terrestrial ecosystems has been observed during the ENSO warm phase (El Niño) and the opposite during the cold phase (La Niña). However, this global perspective obscures the heterogeneous impacts of ENSO at regional scales. Particularly, ENSO has contrasting impacts on climate in northern South America (NSA) depending on the ENSO phase and geographical location, which in turn affect the activity of vegetation. Furthermore, changes of vegetation activity during multiple ENSO events are not well understood yet. In this study, we investigated the spatial and temporal differences in vegetation activity associated with ENSO variability and its three phases (El Niño, La Niña, Neutral) to identify hotspots of ENSO impacts in NSA, a region dominated by rainforest and savannas. To achieve this, we investigated time series of vegetation variables from 2001 to 2014 at moderate spatial resolution (0.0083°). Data were aggregated through dimensionality reduction analysis (i.e., Global Principal Component Analysis). The leading principal component served as a proxy of vegetation activity (VAC). We calculated the cross‐correlation between VAC and the multivariate ENSO index separately for each ENSO phase. Our results show that El Niño phase has a stronger impact on vegetation activity both in intensity and duration than La Niña phase. Moreover, seasonally dry ecoregions were more susceptible to El Niño impacts on vegetation activity. Understanding these differences is key for regional adaptation and differentiated management of ecosystems.

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Section: Discussionmentioning

confidence: 99%

Spatial Patterns of Vegetation Activity Related to ENSO in Northern South America

Estupinan‐Suarez,

Mahecha,

Brenning

et al. 2024

JGR Biogeosciences

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“…Figure 2 in Gerdener et al., 2023), with the phase of all three data sets remarkably close. On a Hövmöller diagram (Figure 3 in Gerdener et al., 2023), it becomes obvious that GLWS inherits many anomalous events in the tropical belt from assimilating GRACE data, which are likely related to ENSO (Barbosa et al., 2019; Vilanova et al., 2021).…”

Section: Consistency Between Grace and Glws For The Amazon Basinmentioning

confidence: 99%

Introducing the Idea of Classifying Sets of Permanent GNSS Stations as Benchmarks for Hydrogeodesy

Klos,

Kusche,

Leszczuk

et al. 2023

JGR Solid Earth

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We propose a novel approach to classify sets of GNSS (Global Navigation Satellite System) permanent stations as benchmarks for hydrogeodesy. Benchmarks are trusted sets of GNSS stations whose displacements are classified as significantly and positively correlated with hydrospheric changes and identified in a three temporal‐scales: short‐term, seasonal and long‐term. We use 63 vertical displacement time series processed at the Nevada Geodetic Laboratory (NGL) for the period 1998‐2021 from stations located within Amazon basin and show that estimates of trends and annual signals, including the annual phase maximum, are very coherent with water surface levels provided by altimetry missions. We compute vertical displacements from GRACE (Gravity Recovery and Climate Experiment) and GRACE Follow‐On gravity missions and predict those also from Global Land Water Storage (GLWS) v2.0 dataset which values are produced by assimilation of GRACE into WaterGAP Global Hydrological Model (WGHM). We divide vertical displacements from the three datasets into the pre‐defined temporal‐scales of short‐term, seasonal and long‐term, using non‐parametric wavelet analysis. For each temporal‐scale, correlation coefficients are computed between GNSS‐measured and GRACE‐derived / GLWS‐predicted displacements. We present the benefits of applying high‐resolution GRACE‐assimilating hydrology model to benchmark GNSS stations, which are particularly evident when using spherical harmonic coefficients higher than 120. Their increase causes the number of stations included in the benchmarks to rise by up to 15% for short‐term. Benchmarking allows hydrogeodesy to take advantage of a broader set of GNSS stations that were previously omitted, such as earthquake‐affected sites and those where a possible poroelastic response is observed.

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“…Other previous studies (e.g., Araujo, Obregón, et al, 2018;Silva et al, 2016) found different results depending on the methodology, suggesting a lack of consensus on the matter. Although the direct effects of SST on precipitation in the Pantanal are not clear, several studies have demonstrated the influence of SST on the occurrence of extreme weather events in Amazonia (Aragão et al, 2007(Aragão et al, , 2018Ciemer et al, 2020;Marengo et al, 2011;Vilanova et al, 2021). Moreover, the Amazonia plays a significant role in controlling summer rainfall in the Pantanal, with water security in the region being critically linked to conservation of the Amazonian rain forest (Bergier et al, 2018).…”

Section: Rural Propertiesmentioning

confidence: 99%

Compound impact of land use and extreme climate on the 2020 fire record of the Brazilian Pantanal

Barbosa

Ruiz

Nascimento

et al. 2022

Global Ecol Biogeogr

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Vegetation degradation in ENSO events: Drought assessment, soil use and vegetation evapotranspiration in the Western Brazilian Amazon

Cited by 4 publications

References 33 publications

Spatial Patterns of Vegetation Activity Related to ENSO in Northern South America

Spatial Patterns of Vegetation Activity Related to ENSO in Northern South America

Introducing the Idea of Classifying Sets of Permanent GNSS Stations as Benchmarks for Hydrogeodesy

Compound impact of land use and extreme climate on the 2020 fire record of the Brazilian Pantanal

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