VODCA2GPP – a new, global, long-term (1988–2020) gross primary production dataset from microwave remote sensing

Wild, Benjamin; Teubner, Irene; Moesinger, Leander; Zotta, Ruxandra-Maria; Forkel, Matthias; Schalie, Robin van der; Sitch, Stephen; Dorigo, Wouter

doi:10.5194/essd-14-1063-2022

Cited by 55 publications

(21 citation statements)

References 70 publications

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“…Often this is accomplished by using remotely sensed data as input to light use e ciency models 22 . Recently, approaches estimating global GPP by applying vegetation optical depth from passive radiometer or active radar microwave observations have been introduced 17,23 . Distributed tower-based eddy covariance carbon ux observations have been used together with optical-range satellite observations from sensors such as the Moderate Resolution Imaging Spectroradiometer (MODIS), to quantify GPP, ER and NEE by applying satellite data-derived vegetation indices or re ectances as input to light use e ciency models, machine learning or regression algorithms 21,24 .…”

Section: Limitations Of Current Carbon Exchange Assessmentsmentioning

confidence: 99%

Four decades increase in gross photosynthesis of boreal forests balanced out by increase in ecosystem respiration

Pulliainen

Aurela

Vesala

et al. 2022

Preprint

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Changes in the net carbon sink of boreal forests constitute a major source of uncertainty in the future global carbon budget and hence climate change projections1. The annual net ecosystem exchange of carbon dioxide (CO2) controlling the terrestrial carbon stock is the result of the small difference between respiratory CO2 release and the photosynthetic CO2 uptake by vegetation2. The boreal forest, and the boreal biome in general, is regarded as a persistent and even an increasing net carbon sink3,4. However, decreases in photosynthetic CO2 uptake and/or concurrent increases in respiratory CO2 release under a changing climate may turn boreal forests from a net sink to a net source of CO21. Here, we assessed the dynamics of boreal forest net CO2 sink-source strength and its components from 1981 to 2018. Our remote sensing approach - trained by net CO2 flux observations at eddy covariance sites across the circumpolar boreal forests - employs satellite-derived retrievals of snow melt timing, landscape freeze-thaw status, and yearly maximum estimates of the normalized difference vegetation index as a proxy for peak vegetation productivity. Our results for the period 1981-2018 suggest that the mean annual evergreen boreal forest CO2 sink was 0.4 Pg C y-1 (0.3 Pg C y-1 for Eurasia and 0.2 Pg C y-1 for North America). In contrast to earlier investigations3,4 our results do not indicate an increasing trend in the circumpolar evergreen boreal forest CO2 sink, as the increase in CO2 uptake is compensated by increasing respiratory releases with both components of CO2 sink-source strength showing considerable interannual variabilities.

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Section: Limitations Of Current Carbon Exchange Assessmentsmentioning

confidence: 99%

Four decades increase in gross photosynthesis of boreal forests balanced out by increase in ecosystem respiration

Pulliainen

Aurela

Vesala

et al. 2022

Preprint

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“…The revised LUE GPP has better performance than other LUE products and has been increasingly used in capturing drought effects (Gampe et al, 2021;Wu & Jiang, 2022). VODCA2 GPP is a recently-developed 8-days GPP product based on the vegetation optical depth (VOD) estimated from microwave remote sensing (Wild et al, 2022). It used a carbon-sink-driven approach (Teubner et al, 2019(Teubner et al, , 2021 to estimate GPP with the Vegetation Optical Depth records (Moesinger et al, 2020), which merges VOD observations from multiple sensors into one file.…”

Section: Datasetsmentioning

confidence: 99%

Tracking Global Patterns of Drought‐Induced Productivity Loss Along Severity Gradient

Wang

et al. 2022

JGR Biogeosciences

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Droughts significantly impact land carbon uptake by reducing the gross primary productivity (GPP). Projections suggest an increase in severe and extreme droughts in the twenty‐first century. Despite the importance of droughts on carbon uptakes, it remains unclear about the GPP responses under different drought severity and its changes under current climate changes. Using four state‐of‐the‐science GPP products, we showed that moderate (−1 ≤ SPEI < −1.5), severe (−1.5 ≤ SPEI < −2), and extreme (SPEI < −2) droughts caused on average 5%, 7%, and 9% GPP reductions, respectively, across the globe during the recent decades. Although the mean reductions varied among GPP products, we observed similar spatial patterns. The reductions increased significantly along the severity gradient, while the sharpest increases were observed in semi‐arid and grassland ecosystems. On a biome level, we found that the reductions increased nonlinearly with increasing drought severities for almost all vegetation types, but the trends and slopes varied significantly. In addition, we found that the mean drought‐induced GPP reductions had increased in dry ecosystems but decreased in humid ecosystems from 2001–2008 to 2009–2016. The result highlights the potential increase of drought‐induced land carbon sink loss responding to more extreme climates and offers new perspectives to improve the prediction of global carbon fluxes in a changing climate.

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“…The list of ECVs is long, but spatiotemporal data are only available for a subset of these variables (see Table 1 in Giuliani et al (2020) for details). Many studies have focused on individual, or the combination of a few, ecosystem state variables to investigate their past, present, and future states at different scales ranging from local to global (Bernardino et al, 2020; D'Adamo et al, 2021; Dang et al, 2022; de Jong et al, 2011; Fensholt et al, 2015; Liu et al, 2013; Piao et al, 2020; Qiu et al, 2016; Wild et al, 2022; Zhao et al, 2018). Only a few studies have linked trends and dynamics in ecosystem state variables to aridity.…”

Section: Introductionmentioning

confidence: 99%

“…Essential Climate Variables (ECVs) (Table S1) are physical, chemical, or biological variables or a group of linked variables that critically contribute to the characterization of Earth's climate and are grouped into atmosphere, land, or ocean related variables (GCOS, 2022). The list of ECVs is long, but spatiotemporal data are only available for a subset of these variables (see (Bernardino et al, 2020;D'Adamo et al, 2021;Dang et al, 2022;de Jong et al, 2011;Fensholt et al, 2015;Liu et al, 2013;Piao et al, 2020;Qiu et al, 2016;Wild et al, 2022;Zhao et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Contrasting ecosystem vegetation response in global drylands under drying and wetting conditions

Abel

Abdi

Tagesson

et al. 2023

Global Change Biology

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Increasing aridity is one major consequence of ongoing global climate change and is expected to cause widespread changes in key ecosystem attributes, functions, and dynamics. This is especially the case in naturally vulnerable ecosystems, such as drylands. While we have an overall understanding of past aridity trends, the linkage between temporal dynamics in aridity and dryland ecosystem responses remain largely unknown. Here, we examined recent trends in aridity over the past two decades within global drylands as a basis for exploring the response of ecosystem state variables associated with land and atmosphere processes (e.g., vegetation cover, vegetation functioning, soil water availability, land cover, burned area, and vapor-pressure deficit) to these trends. We identified five clusters, characterizing spatiotemporal patterns in aridity between 2000 and 2020. Overall, we observe that 44.5% of all areas are getting dryer, 31.6% getting wetter, and 23.8% have no trends in aridity. Our results show strongest correlations between trends in ecosystem state variables and aridity in clusters with increasing aridity, which matches expectations of systemic acclimatization of the ecosystem to a reduction in water availability/water stress. Trends in vegetation (expressed by leaf area index [LAI]) are affected differently by potential driving factors (e.g., environmental, and climatic factors, soil properties, and population density) in areas experiencing water-related stress as compared to areas not exposed to water-related stress. Canopy height for example, has a positive impact on trends in LAI when the system is stressed but does not impact the trends in nonstressed systems. Conversely, opposite relationships were found for soil parameters such as root-zone water storage capacity and organic carbon density. How potential driving factors impact dryland vegetation differently depending on water-related stress (or no stress) is important, for example within management strategies to maintain and restore dryland vegetation.

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VODCA2GPP – a new, global, long-term (1988–2020) gross primary production dataset from microwave remote sensing

Cited by 55 publications

References 70 publications

Four decades increase in gross photosynthesis of boreal forests balanced out by increase in ecosystem respiration

Four decades increase in gross photosynthesis of boreal forests balanced out by increase in ecosystem respiration

Tracking Global Patterns of Drought‐Induced Productivity Loss Along Severity Gradient

Contrasting ecosystem vegetation response in global drylands under drying and wetting conditions

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