Asymmetrical cooling effects of Amazonian protected areas across spatiotemporal scales

Huang, Anqi; Xu, Xiyan; Jia, Gensuo; Shen, Runping

doi:10.1088/1748-9326/ac6a6d

Cited by 3 publications

(2 citation statements)

References 44 publications

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“…(Tan et al, 2018;Ghafarian et al, 2022). On both basin-wide and sub-basin scales of the Amazon, vegetation cooling effects have been shown to be much stronger during daytime than nighttime (Huang et al, 2022). This is consistent with what we found, with a steeper slope of the relationship between LAI and LSTday_mean than LSTnight_mean (−0.54 versus −0.34).…”

Section: Plant Traits and Regulation Of Land Surface Temperaturesupporting

confidence: 91%

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Influence of plant traits on water cycle processes in the Amazon Basin

Nguyen,

Santos

2024

Preprint

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Abstract. Plants play a key role in the soil-plant-atmosphere-climate hydrological continuum. Plants depend on the water cycle and, in return, several hydrological processes could be impacted via vegetation-induced mechanisms. Changes in plant composition are known to affect this relationship, however, detailed understanding on how plant characteristics, i.e., their traits, are seldom included in observational and modeling studies. Here we examine the effect of plant traits on water cycle processes in the Amazon Basin. We used remotely-sensed estimates of four plant traits, namely Specific Leaf Area (SLA), Leaf Dry Matter Content (LDMC), Leaf Phosphorus Content (LPC), Leaf Nitrogen Content (LNC), and two vegetation indices, the Normalised Difference Vegetation Index (NDVI), and Leaf Area Index (LAI), for 10 years between 2001 and 2010. We examined the relationship between plant traits and six parameters relevant for water cycle processes, namely Evapotranspiration (ET), Potential Evapotranspiration (PET), Vapour Pressure Deficit (VPD), Land Surface Temperature (LST) Day/Night and Soil Moisture (SM). We used multivariate and quantile regressions to analyse how plant traits explain the average and standard deviation in water cycle process parameters. We find that SLA, NDVI, and LAI exert the strongest effects across the whole of Amazon basin and the sub-basins, most important for the regulation of atmospheric water content and of land surface temperature, but little effect on the regulation of soil moisture content. These effects are exacerbated at extreme values of water process parameters, where plant traits exert an even stronger effect at low values of ET and PET and high values of VPD and LST. Leaf gas exchange traits are most important in comparison to the other traits, and these results also highlight that if water cycle process parameters achieve extreme values, plant traits are key to the persistence of hydrological processes fundamental to the resilience of the Amazon.

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Section: Plant Traits and Regulation Of Land Surface Temperaturesupporting

confidence: 91%

“…• C on average. In the Amazon, vegetation in protected areas has been shown to have net cooling effects between 0.51 − 0.98 • C(Huang et al, 2022). The vegetation cooling effect may be driven by the enactment of two mechanisms.…”

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confidence: 99%

Influence of plant traits on water cycle processes in the Amazon Basin

Nguyen,

Santos

2024

Preprint

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Lagged feedback of peak season photosynthetic activities on local surface temperature in Inner Mongolia, China

Rina

Bao

Guo

et al. 2023

Environmental Research

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Trees diversity explains variations in biodiversity-ecosystem function relationships across environmental gradients and conservation status in riparian corridors

Kinnoumè,

Gouwakinnou,

Noulèkoun

et al. 2024

Front. For. Glob. Change

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Riparian ecosystems are recognized as large reservoirs of biodiversity providing important ecosystem services. However, the relationship between tree species diversity and ecosystem functions and the underlying ecological mechanisms have less been studied in riparian corridors. This study assessed the effect of tree diversity (taxonomic, functional, and phylogenetic) on riparian ecosystem functions (habitat quality–HbQ and aboveground carbon–AGC) across environmental gradients (distances to stream bed) and conservation status. Data were collected from 96 inventory plots installed in a 1 km buffer zone on either side of permanent streams in the Upper Ouémé watershed in northern Benin. We employed linear mixed effects models and structural equation modeling to analyze the data. We found that ecosystem functions (HbQ, AGC) and diversity attributes including species richness (SR), Faith’s phylogenetic diversity index (PD) and community-weighted mean of maximum height (CWMHmax) were significantly lower away from the streambed than nearby. The correlation between SR and ecosystem functions was significant and positive across and within the distance gradient and conservation status. We also found that the CWMHmax was the best predictor of both ecosystem functions, and that PD mediated the effect of SR on AGC and HbQ in areas close to the streambed and in unprotected areas, respectively. Our study reveals the influence of human activities on biodiversity and ecosystem functioning relationships in riparian corridors and provides new insights into the importance of tall stature trees and species with distant lineages for the functioning of these ecosystems. Based on the variables measured and tested in this study, we argue that riparian corridor management policies should consider plant traits and phylogeny and promote wider riparian buffers for the co-benefits of biodiversity conservation and climate change mitigation.

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Asymmetrical cooling effects of Amazonian protected areas across spatiotemporal scales

Cited by 3 publications

References 44 publications

Influence of plant traits on water cycle processes in the Amazon Basin

Influence of plant traits on water cycle processes in the Amazon Basin

Lagged feedback of peak season photosynthetic activities on local surface temperature in Inner Mongolia, China

Trees diversity explains variations in biodiversity-ecosystem function relationships across environmental gradients and conservation status in riparian corridors

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