Accelerated dryland expansion regulates future variability in dryland gross primary production

Yao, Jingyu; Li, Heping; Huang, Jianping; Gao, Zhongming; Wang, Guoyin; Li, Dan; Yu, Hongbin; Chen, Xingyuan

doi:10.1038/s41467-020-15515-2

Cited by 195 publications

(97 citation statements)

References 61 publications

(79 reference statements)

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“…This phenomenon is similar to the principle of regulated irrigation in agriculture to increase water use efficiency under a certain degree of water stress (Chai et al, 2016), and also revealed by other studies (Zhang and Zhang, 2019). This dryness effect on ecosystem productivity cannot be detected in the annual scale assessment (Brookshire and Weaver, 2015;Yao et al, 2020). These results indicate firstly that pre-growing season hydroclimate conditions play a key role in the follow-on vegetation growth and production (Wang et al, 2019), and secondly that water limits vegetation even in this subtropical rain-abundant region instead of water shortage resulted from vegetation establishment.…”

Section: Causal Roles Of Water and Dryness In Vegetation Changessupporting

confidence: 77%

Assessing the large-scale plant-water relations using remote sensing products in the humid subtropical Pearl River Basin in south China

Wang¹,

Duan²,

Liu³

et al. 2020

Preprint

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Abstract. Vegetation interact closely with water resources. Conventional studies of plant-water relations at the field scale are fundamental for understanding the mechanisms of how plants alter and adapt to environmental changes, while large-scale studies can be more practical for regional land use and water management towards mitigating climate change impacts. In this study, we investigated the changes in total water storage (TWS), aridity index (AI) and vegetation greenness, productivity and their interactions in the Pearl River Basin since 2002. Results show overall increase of TWS especially in the middle reaches where vegetation greenness and productivity also increased. This region dominated by croplands was identified as the hotspot for changes and interactions between water and vegetation in the basin. Vegetation was more strongly affected by TWS than precipitation (P) at both the annual and monthly scales. Further examination showed that the influence of P on vegetation in wet years was stronger than dry years, while the TWS impact was stronger in dry years than wet years; moreover, greenness responded faster and productivity slower to dryness changes in dry years than wet years. The lag effects resulted in nonlinearity between water and vegetation. This study implies that vegetation in the basin uses rainwater prior to water storage until it gets dry, and the degree of water restriction on vegetation was higher than that of water consumption by vegetation even in this rain-abundant region.

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Section: Causal Roles Of Water and Dryness In Vegetation Changessupporting

confidence: 77%

Assessing the large-scale plant-water relations using remote sensing products in the humid subtropical Pearl River Basin in south China

Wang¹,

Duan²,

Liu³

et al. 2020

Preprint

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“…This region accounts for less than half of the land but more than 70% of the annual mean GPP. This delineation in GPP roughly coincides with the location of drylands in CONUS that are more sensitive to changes in precipitation; drylands are also projected to expand in future climate (Yao et al, 2020). Most of the large year-to-year differences occur in these western US drylands (see Fig.…”

Section: Identifying Distinct Relationships Between Sif and Gppmentioning

confidence: 58%

Extreme events driving year-to-year differences in gross primary productivity across the US

Turner

Köhler

Magney

et al. 2021

Preprint

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Abstract. Solar-Induced chlorophyll Fluorescence (SIF) has previously been shown to strongly correlate with gross primary productivity (GPP), however this relationship has not yet been quantified for the recently launched TROPOspheric Monitoring Instrument (TROPOMI). Here we use a Gaussian mixture model to develop a parsimonious relationship between SIF from TROPOMI and GPP from flux towers across the conterminous United States (CONUS). The mixture model indicates the SIF-GPP relationship can be characterized by a linear model with two terms. We then estimate GPP across CONUS at 500-m spatial resolution over a 16-day moving window. We find that CONUS GPP varies by less than 4 % between 2018 and 2019. However, we observe four extreme precipitation events that induce regional GPP anomalies: drought in west Texas, flooding in the midwestern US, drought in South Dakota, and drought in California. Taken together, these events account for 28 % of the year-to-year GPP differences across CONUS.

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“…Drylands comprise 45% of the terrestrial earth surface (Prăvălie, 2016), and precipitation is the most limiting factor to the functioning of dryland ecosystems (Lauenroth, 1979;Noy-Meir, 1973). Therefore, their responses to interannual precipitation variability have important consequences for global patterns of productivity (Ahlström et al, 2015;Gherardi and Sala, 2019;Yao et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Lagged precipitation effect on plant productivity is influenced collectively by climate and edaphic factors in drylands

Wang

et al. 2021

Science of The Total Environment

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Lagged precipitation effect explains a large proportion of annual aboveground net primary productivity in some dryland ecosystems. Using satellite-derived plant productivity and precipitation datasets in the Northern Hemisphere drylands during 2000-2018, we identify 1111 pixels mainly located in the Tibetan Plateau, the western US, and Kazakhstan where productivities are significantly correlated with previousyear precipitation (hereafter, the lagged type). Differences in climatic and edaphic factors between the lagged and unlagged (pixels where productivities are not correlated with previous-year precipitation) types are evaluated. Permutational multivariate analysis of variance shows that the two types differ significantly regarding six climatic and edaphic factors. Compared to unlagged type, water availability, soil organic carbon, total nitrogen, field capacity, silt content and radiation are more sensitive to changes in precipitation in lagged type. Water availability is the most important factor for distinguishing the two types, followed by soil organic carbon, total nitrogen, field capacity, soil texture, and radiation. Our study suggests that the altered sensitivities of several climatic and edaphic factors to precipitation collectively affect the lagged effect of precipitation on productivity in drylands.

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Accelerated dryland expansion regulates future variability in dryland gross primary production

Cited by 195 publications

References 61 publications

Assessing the large-scale plant-water relations using remote sensing products in the humid subtropical Pearl River Basin in south China

Assessing the large-scale plant-water relations using remote sensing products in the humid subtropical Pearl River Basin in south China

Extreme events driving year-to-year differences in gross primary productivity across the US

Lagged precipitation effect on plant productivity is influenced collectively by climate and edaphic factors in drylands

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