Warming homogenizes apparent temperature sensitivity of ecosystem respiration

Niu, Ben; Zhang, Xianzhou; Piao, Shilong; Janssens, Ivan A.; Fu, Gang; He, Yongtao; Zhang, Yangjian; Shi, Peili; Dai, Erfu; Yu, Chengqun; Zhang, Jing; Yu, Guirui; Xu, Minggang; Wu, Jian; Zhu, Liping; Desai, Ankur R.; Chen, Jiquan; Bohrer, Gil; Gough, Christopher M.; Mammarella, Ivan; Varlagin, Andrej; Fares, Silvano; Zhao, Xinquan; Li, Yingnian; Wang, Huiming; Ouyang, Zhu

doi:10.1126/sciadv.abc7358

Cited by 43 publications

(10 citation statements)

References 134 publications

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“…Currently, many research studies have focused on the response of vegetation phenology to specific climate factors, including temperature, precipitation, and shortwave radiation. The results indicated that interaction between temperature, shortwave radiation, and water has caused various impacts on vegetation activities in different regions [16][17][18]. For example, the SOS arrived 2.5 days earlier, and the EOS was delayed by 1 day for every 1 • C increase in the temperature across 19 European countries [19].…”

Section: Introductionmentioning

confidence: 98%

Dynamics and Drivers of Vegetation Phenology in Three-River Headwaters Region Based on the Google Earth Engine

et al. 2021

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Phenology shifts over time are known as the canary in the mine when studying the response of terrestrial ecosystems to climate change. Plant phenology is a key factor controlling the productivity of terrestrial vegetation under climate change. Over the past several decades, the vegetation in the three-river headwaters region (TRHR) has been reported to have changed greatly owing to the warming climate and human activities. However, uncertainties related to the potential mechanism and influence of climatic and soil factors on the plant phenology of the TRHR are poorly understood. In this study, we used harmonic analysis of time series and the relative and absolute change rate on Google Earth Engine to calculate the start (SOS), end (EOS), and length (LOS) of the growing season based on MOD09A1 datasets; the results were verified by the observational data from phenological stations. Then, the spatiotemporal patterns of plant phenology for different types of terrain and basins were explored. Finally, the potential mechanism involved in the influence of climatic and soil factors on the phenology of plants in the TRHR were explored based on the structural equation model and Pearson’s correlation coefficients. The results show the remotely sensed monitoring data of SOS (R2 = 0.84, p < 0.01), EOS (R2 = 0.72, p < 0.01), and LOS (R2 = 0.86, p < 0.01) were very similar to the observational data from phenological stations. The SOS and LOS of plants possessed significant trends toward becoming advanced (Slope < 0) and extended (Slope > 0), respectively, from 2001 to 2018. The SOS was the earliest and the LOS was the longest in the Lancang River Basin, while the EOS was the latest in the Yangtze River Basin owing to the impact of climate change and soil factors. Meanwhile, the spatial patterns of SOS, EOS, and LOS have strong spatial heterogeneity at different elevations, slopes, and aspects. In addition, the results show that the drivers of plant phenology have basin-wide and stage differences. Specifically, the influence of soil factors on plant phenology in the Yangtze River Basin was greater than that of climatic factors, but climatic factors were key functional indicators of LOS in the Yellow and Lancang river basins, which directly or indirectly affect plant LOS through soil factors. This study will be helpful for understanding the relationship between the plant phenology of the alpine wetland ecosystem and climate change and improving the level of environmental management.

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Section: Introductionmentioning

confidence: 98%

Dynamics and Drivers of Vegetation Phenology in Three-River Headwaters Region Based on the Google Earth Engine

et al. 2021

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“…Our models implicitly assumed an increasing exponential relationship between temperature and respiration. The temperature sensitivity of respiration (Q 10 ) across ecosystems can vary (usually around 2-5) (Chen and Tian, 2005;Wang et al, 2006;Bond-Lamberty and Thomson, 2010) and is generally expected to be greater than 1, but the Q 10 value may decrease as soils warm (Niu et al, 2021). Some degree of additional variability is expected when considering the biochemical or thermodynamic foundations of respiration (Lloyd and Taylor, 1994;Ito et al, 2015), the methodological approach used to measure soil respiration (Ribeiro-Kumara et al, 2020b), or variation in the soil organic matter supply (Davidson et al, 2006).…”

Section: Evaluation Of Parameter Estimation Approachesmentioning

confidence: 99%

“…Improving the structural representation of microbial respiration in earth system models (e.g. accounting for microbial acclimation to non-equilibrium temperature changes, Zobitz et al (2008); Wieder et al (2013); Wang et al (2021)), when appropriately benchmarked with data, may reduce uncertainties in the turnover and stabilization of soil carbon (Wieder et al, 2013;Sihi et al, 2016). However, there are two main challenges to developing and evaluating more complicated soil process models.…”

Section: Introductionmentioning

confidence: 99%

Evaluating an exponential respiration model to alternative models for soil respiration components in a Canadian wildfire chronosequence (FireResp, v1.0)

Zobitz

Aaltonen

Zhou

et al. 2021

Preprint

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Abstract. Forest fires modify soil organic carbon and suppress soil respiration for many decades since the initial disturbance. The associated changes in soil autotrophic and heterotrophic respiration from the time of the forest fire however, is less well characterized. We analyzed models of soil autotrophic and heterotrophic respiration with a novel dataset across a fire chronosequence in the Yukon and Northwest Territories of Canada. The dataset consisted of soil incubation experiments and field measurements of soil respiration and soil carbon stocks. The models ranged from a Q10 (exponential) model of respiration to models of heterotrophic respiration using Michaelis-Menten kinetics parameterized with soil microbe carbon. For model evaluation we applied model selection metrics (Akaike Information Criterion) and compared predicted patterns in soil respiration components across the chronosequence. Parameters estimated with data from the 5 cm soil depth had better model-data comparisons than parameters estimated with data from the 10 cm soil depth. The model-data fit was improved by including parameters estimated from soil incubation experiments. Models that incorporated microbial carbon with Michaelis-Menten kinetics reproduced patterns in autotrophic and heterotrophic soil respiration components across the chronosequence. Autotrophic respiration was associated with aboveground tree biomass at more recently burned sites, but this association was less robust at older sites in the chronosequence. Our results provide support for more structured soil respiration models than standard Q10 exponential models.

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“…However, in the context of carbon neutrality, greater attention is being paid to the spatiotemporal variation of net carbon uptake, which has not yet been systematically evaluated. In addition, the respiratory sensitivity of the ecosystem on the plateau will decrease significantly as the climate warms [24], but the extent of the decrease is unclear. Therefore, it is necessary to systematically evaluate the carbon budget and its climatic driving mechanism in the alpine grassland on the QTP (AG QTP ).…”

Section: Introductionmentioning

confidence: 99%

Has the Dominant Climatic Driver for the Carbon Budget of Alpine Grassland Shifted from Temperature to Precipitation on the Qinghai–Tibet Plateau?

Niu

Tang

et al. 2023

Remote Sensing

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The alpine grassland on the Qinghai–Tibet Plateau (AGQTP) has undergone severe climate change. Although the carbon budget of AGQTP proved to have altered significantly, the spatiotemporal dynamics and the driving mechanism of the changes remain debated. This study estimated the gross primary productivity (GPP), ecosystem respiration (ER), and net ecosystem productivity (NEP) of the AGQTP, based on remote sensing models, and analyzed their spatiotemporal dynamics and their climatic driving mechanism. Our results showed that the GPP, ER, and NEP increased at rates of 0.002 Pg C yr−2, 0.013 Pg C yr−2, and 0.0007 Pg C yr−2, respectively, during 2000–2020, with substantial spatiotemporal variability. The changes in GPP were influenced by both temperature and precipitation, while NEP and ER were primarily affected by precipitation and temperature, respectively. However, the primary climatic driver of the carbon budget may have shifted from temperature to precipitation around 2010, and the impact of temperature on carbon sink was limited by local water conditions. Furthermore, we found that climate change, particularly precipitation variation, had notable legacy effects on the carbon budget of the AGQTP. Our findings highlight that the climatic impact on the carbon budget is dynamic and long-lasting, rather than static and short-lived, which should be considered in ecosystem carbon budget simulations and other related studies.

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Warming homogenizes apparent temperature sensitivity of ecosystem respiration

Cited by 43 publications

References 134 publications

Dynamics and Drivers of Vegetation Phenology in Three-River Headwaters Region Based on the Google Earth Engine

Dynamics and Drivers of Vegetation Phenology in Three-River Headwaters Region Based on the Google Earth Engine

Evaluating an exponential respiration model to alternative models for soil respiration components in a Canadian wildfire chronosequence (FireResp, v1.0)

Has the Dominant Climatic Driver for the Carbon Budget of Alpine Grassland Shifted from Temperature to Precipitation on the Qinghai–Tibet Plateau?

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