Publications by authors named "Sitch S"

In 2023, the CO growth rate was 3.37 ± 0.11 ppm at Mauna Loa, which was 86% above that of the previous year and hit a record high since observations began in 1958, while global fossil fuel CO emissions only increased by 0.

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Article Synopsis
  • Nonstructural carbohydrates (NSC) in leaves relate to photosynthesis and respiration, influencing plant strategies.
  • A study involving 114 species showed that total NSC concentrations varied widely but generally didn't correlate with leaf gas exchange or economic traits.
  • However, species with higher photosynthesis had shorter NSC residence times, indicating that daily carbon gain is mainly exported rather than stored.
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Microbial carbon use efficiency (CUE) affects the fate and storage of carbon in terrestrial ecosystems, but its global importance remains uncertain. Accurately modeling and predicting CUE on a global scale is challenging due to inconsistencies in measurement techniques and the complex interactions of climatic, edaphic, and biological factors across scales. The link between microbial CUE and soil organic carbon relies on the stabilization of microbial necromass within soil aggregates or its association with minerals, necessitating an integration of microbial and stabilization processes in modeling approaches.

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The extreme dry and hot 2015/16 El Niño episode caused large losses in tropical live aboveground carbon (AGC) stocks. Followed by climatic conditions conducive to high vegetation productivity since 2016, tropical AGC are expected to recover from large losses during the El Niño episode; however, the recovery rate and its spatial distribution remain unknown. Here, we used low-frequency microwave satellite data to track AGC changes, and showed that tropical AGC stocks returned to pre-El Niño levels by the end of 2020, resulting in an AGC sink of Pg C year during 2014-2020.

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The terrestrial ecosystem in China mitigates 21%-45% of the national contemporary fossil fuel CO emissions every year. Maintaining and strengthening the land carbon sink is essential for reaching China's target of carbon neutrality. However, this sink is subject to large uncertainties due to the joint impacts of climate change, air pollution, and human activities.

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Forest carbon sequestration capacity in China remains uncertain due to underrepresented tree demographic dynamics and overlooked of harvest impacts. In this study, we employ a process-based biogeochemical model to make projections by using national forest inventories, covering approximately 415,000 permanent plots, revealing an expansion in biomass carbon stock by 13.6 ± 1.

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Plants with the C photosynthesis pathway typically respond to climate change differently from more common C-type plants, due to their distinct anatomical and biochemical characteristics. These different responses are expected to drive changes in global C and C vegetation distributions. However, current C vegetation distribution models may not predict this response as they do not capture multiple interacting factors and often lack observational constraints.

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Article Synopsis
  • The study examines variations in anthropogenic carbon net flux estimates from land, focusing on how definitions of "managed" vs. "unmanaged" forest land influence these calculations, using global Earth Observation datasets for accuracy.
  • In Brazil, from 2001 to 2020, Earth Observation (EO) data classified Brazil as a net carbon sink, while national reports indicated a net carbon source, highlighting discrepancies that can be traced back to differing methodologies and factors used in both datasets.
  • Results from Indonesia showed similar estimates between EO and national reports, but Malaysia revealed significant differences in both magnitude and sign, illustrating the complexities in accurately measuring forest carbon fluxes due to lack of detailed forest type data
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Uncovering the mechanisms that lead to Amazon forest resilience variations is crucial to predict the impact of future climatic and anthropogenic disturbances. Here, we apply a previously used empirical resilience metrics, lag-1 month temporal autocorrelation (TAC), to vegetation optical depth data in C-band (a good proxy of the whole canopy water content) in order to explore how forest resilience variations are impacted by human disturbances and environmental drivers in the Brazilian Amazon. We found that human disturbances significantly increase the risk of critical transitions, and that the median TAC value is ~2.

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Tropospheric ozone (O3 ) is a global air pollutant that adversely affects plant growth. Whereas the impacts of O3 have previously been examined for some tropical commodity crops, no information is available for the pantropical crop, banana (Musa spp.).

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The year 2022 saw record breaking temperatures in Europe during both summer and fall. Similar to the recent 2018 drought, close to 30% (3.0 million km) of the European continent was under severe summer drought.

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Article Synopsis
  • Sugarcane, a key crop in tropical regions, is at risk from increasing air pollution, specifically ozone (O), which has not been fully quantified in terms of its impact on this crop.
  • Recent research shows that ozone exposure could significantly affect sugarcane biomass and productivity, which is crucial as Brazil plans to expand its sugarcane production for biofuels.
  • The study found that ozone exposure could lead to a 5.6% to 18.3% reduction in sugarcane crop productivity, highlighting the urgent need to understand air quality impacts on this vital bioenergy resource and broader food security.
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Tropical forests play a pivotal role in regulating the global carbon cycle. However, the response of these forests to changes in absorbed solar energy and water supply under the changing climate is highly uncertain. Three-year (2018-2021) spaceborne high-resolution measurements of solar-induced chlorophyll fluorescence (SIF) from the TROPOspheric Monitoring Instrument (TROPOMI) provide a new opportunity to study the response of gross primary production (GPP) and more broadly tropical forest carbon dynamics to differences in climate.

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Identifying the thresholds of drought that, if crossed, suppress vegetation functioning is vital for accurate quantification of how land ecosystems respond to climate variability and change. We present a globally applicable framework to identify drought thresholds for vegetation responses to different levels of known soil-moisture deficits using four remotely sensed vegetation proxies spanning 2001-2018. The thresholds identified represent critical inflection points for changing vegetation responses from highly resistant to highly vulnerable in response to drought stress, and as a warning signal for substantial vegetation impacts.

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The Australian continent contributes substantially to the year-to-year variability of the global terrestrial carbon dioxide (CO) sink. However, the scarcity of in situ observations in remote areas prevents the deciphering of processes that force the CO flux variability. In this study, by examining atmospheric CO measurements from satellites in the period 2009-2018, we find recurrent end-of-dry-season CO pulses over the Australian continent.

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Climate warming is causing compositional changes in Andean tropical montane forests (TMFs). These shifts are hypothesised to result from differential responses to warming of cold- and warm-affiliated species, with the former experiencing mortality and the latter migrating upslope. The thermal acclimation potential of Andean TMFs remains unknown.

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The globally important carbon sink of intact, old-growth tropical humid forests is declining because of climate change, deforestation and degradation from fire and logging. Recovering tropical secondary and degraded forests now cover about 10% of the tropical forest area, but how much carbon they accumulate remains uncertain. Here we quantify the aboveground carbon (AGC) sink of recovering forests across three main continuous tropical humid regions: the Amazon, Borneo and Central Africa.

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Global net land carbon uptake or net biome production (NBP) has increased during recent decades. Whether its temporal variability and autocorrelation have changed during this period, however, remains elusive, even though an increase in both could indicate an increased potential for a destabilized carbon sink. Here, we investigate the trends and controls of net terrestrial carbon uptake and its temporal variability and autocorrelation from 1981 to 2018 using two atmospheric-inversion models, the amplitude of the seasonal cycle of atmospheric CO concentration derived from nine monitoring stations distributed across the Pacific Ocean and dynamic global vegetation models.

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In the Amazon, deforestation and climate change lead to increased vulnerability to forest degradation, threatening its existing carbon stocks and its capacity as a carbon sink. We use satellite L-Band Vegetation Optical Depth (L-VOD) data that provide an integrated (top-down) estimate of biomass carbon to track changes over 2011-2019. Because the spatial resolution of L-VOD is coarse (0.

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The Global Stocktake (GST), implemented by the Paris Agreement, requires rapid developments in the capabilities to quantify annual greenhouse gas (GHG) emissions and removals consistently from the global to the national scale and improvements to national GHG inventories. In particular, new capabilities are needed for accurate attribution of sources and sinks and their trends to natural and anthropogenic processes. On the one hand, this is still a major challenge as national GHG inventories follow globally harmonized methodologies based on the guidelines established by the Intergovernmental Panel on Climate Change, but these can be implemented differently for individual countries.

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Most biological rates depend on the rate of respiration. Temperature variation is typically considered the main driver of daily plant respiration rates, assuming a constant daily respiration rate at a set temperature. Here, we show empirical data from 31 species from temperate and tropical biomes to demonstrate that the rate of plant respiration at a constant temperature decreases monotonically with time through the night, on average by 25% after 8 h of darkness.

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Carbon budget accounting relies heavily on Food and Agriculture Organization land-use data reported by governments. Here we develop a new land-use and cover-change database for China, finding that differing historical survey methods biased China's reported data causing large errors in Food and Agriculture Organization databases. Land ecosystem model simulations driven with the new data reveal a strong carbon sink of 8.

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The observed global net land carbon sink is captured by current land models. All models agree that atmospheric CO and nitrogen deposition driven gains in carbon stocks are partially offset by climate and land-use and land-cover change (LULCC) losses. However, there is a lack of consensus in the partitioning of the sink between vegetation and soil, where models do not even agree on the direction of change in carbon stocks over the past 60 years.

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