Brazilian Dry Forest (Caatinga) Response To Multiple ENSO: the role of Atlantic and Pacific Ocean

Pereira, Marcos Paulo Santos; Mendes, Keila Rêgo; Justino, Flávio; Couto-Santos, Fabiana R.; Silva, Alex Santos da; Silva, Djane Fonseca da; Malhado, Ana C. M.

doi:10.1016/j.scitotenv.2019.135717

Cited by 28 publications

(13 citation statements)

References 43 publications

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“…In the Caatinga biome, the vegetation changes are associated with seasonal events (Pereira et al, 2020). Likewise, this study covered a historic drought period in the hinterlands of northeastern Brazil in 2012 (Marengo et al, 2013, 2017).…”

Section: Discussionmentioning

confidence: 99%

“…This factor provided a high moisture availability in the soil, which affects primary productivity and, consequently, the availability of resources to consumers for an extended period in the area (Holmgren et al, 2001). In the Caatinga biome, the vegetation changes are associated with seasonal events (Pereira et al, 2020). Likewise, this study covered a historic drought period in the hinterlands of northeastern Brazil in 2012 (Marengo et al, 2013(Marengo et al, , 2017.…”

Section: Interannual Variancementioning

confidence: 99%

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Seasonal and interannual variation on social wasps’ assemblages in two habitats of a seasonally dry tropical forest region

Brito

Zanella

2022

Biotropica

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Approximately half of the tropical forests are seasonally dry tropical forests (SDTFs); they range from open scrub vegetation rich in succulent plants and deciduous trees to patches of mesic forests, particularly along rivers, mountain slopes, and peaks (Muscarella et al., 2019;Pennington et al., 2009;Prado, 2003). The specific characteristics of forests in different regions depend mainly on the historical length of dry periods and local conditions related to the

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Section: Discussionmentioning

confidence: 99%

Section: Interannual Variancementioning

confidence: 99%

Seasonal and interannual variation on social wasps’ assemblages in two habitats of a seasonally dry tropical forest region

Brito

Zanella

2022

Biotropica

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“…Tolerance to water stress was measured via predawn and mid‐day leaf water potential (Ψ PD and Ψ MD ), WUE was measured via the foliar δ 13 C, and water access was measured via soil and stem water δ 18 O and δ 2 H. This work is timely because our fundamental understanding of how SDTFs might respond to disturbances is limited. Specifically, evaluating the utility of the PFT framework is vital for modeling and predicting ecosystem resilience to changing climate (Pereira et al, 2020 ; Santos et al., 2014 ) and drought‐induced mortality (Powers et al, 2020 ). Such insight is urgent in the Caatinga, where drought frequency (Xu et al., 2019 ) and degradation and desertification are accelerating (Tomasella et al., 2018 ).…”

Section: Introductionmentioning

confidence: 99%

Plant functional types broadly describe water use strategies in the Caatinga, a seasonally dry tropical forest in northeast Brazil

Wright

Lima

Souza

et al. 2021

Ecology and Evolution

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In seasonally dry tropical forests, plant functional type can be classified as deciduous low wood density, deciduous high wood density, or evergreen high wood density species. While deciduousness is often associated with drought‐avoidance and low wood density is often associated with tissue water storage, the degree to which these functional types may correspond to diverging and unique water use strategies has not been extensively tested. We examined (a) tolerance to water stress, measured by predawn and mid‐day leaf water potential; (b) water use efficiency, measured via foliar δ13C; and (c) access to soil water, measured via stem water δ18O. We found that deciduous low wood density species maintain high leaf water potential and low water use efficiency. Deciduous high wood density species have lower leaf water potential and variable water use efficiency. Both groups rely on shallow soil water. Evergreen high wood density species have low leaf water potential, higher water use efficiency, and access alternative water sources. These findings indicate that deciduous low wood density species are drought avoiders, with a specialized strategy for storing root and stem water. Deciduous high wood density species are moderately drought tolerant, and evergreen high wood density species are the most drought tolerant group. Synthesis. Our results broadly support the plant functional type framework as a way to understand water use strategies, but also highlight species‐level differences.

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“…In recent years, under the background of global climate change, relevant studies have predicted that extreme disasters will occur frequently in the future [2,3]. As a frequent extreme disaster on land, drought severely affects the ecological environment, agricultural production, socioeconomic status and other aspects [4][5][6][7]. It is crucial to reduce the loss of drought and achieve the goal of sustainable development by exploring the teleconnection mechanism of drought and improving the level of monitoring and forecasting for it [8].…”

Section: Introductionmentioning

confidence: 99%

The Influence of ENSO and MJO on Drought in Different Ecological Geographic Regions in China

Zhou

Wang

et al. 2021

Remote Sensing

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Mastering the spatial and temporal differences of ENSO (EI Niño-Southern Oscillation) and MJO (Madden–Julian Oscillation) and their influence on drought is very important for accurately monitoring and forecasting drought. In this study, spatiotemporal characteristics and variability of the impact of ENSO and MJO on drought were analyzed from the perspectives of meteorological drought and agricultural drought through temporal and spatial correlation analyses of China’s 48 eco-geographical regions. The results show a strong correlation between drought and ENSO and MJO in general. The spatial correlation coefficients are different, and the response of extreme events varies in different regions. The influence of ENSO and MJO on agricultural drought is higher than that on meteorological drought. ENSO and MJO have a considerable influence on agricultural drought in regions such as the Qinghai-Tibet Plateau and Xinjiang, with the highest correlation coefficient of 0.72. A significant influence of ENSO and MJO on meteorological drought was found in the Jiangnan region with the highest correlation coefficient of 0.40. In addition, agricultural drought shows a significant time lag in response to ENSO events. When the lag time is six months, the time series presents the highest correlation coefficient with the mean value of the correlation coefficient reaching 0.38 and the maximum value reaching 0.75. This research is of great significance for understanding the spatiotemporal correlation between climate patterns and drought on a large regional scale and it provides further insights into the teleconnection mechanisms of drought.

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Brazilian Dry Forest (Caatinga) Response To Multiple ENSO: the role of Atlantic and Pacific Ocean

Cited by 28 publications

References 43 publications

Seasonal and interannual variation on social wasps’ assemblages in two habitats of a seasonally dry tropical forest region

Seasonal and interannual variation on social wasps’ assemblages in two habitats of a seasonally dry tropical forest region

Plant functional types broadly describe water use strategies in the Caatinga, a seasonally dry tropical forest in northeast Brazil

The Influence of ENSO and MJO on Drought in Different Ecological Geographic Regions in China

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