Improving estimations of ecosystem respiration with asymmetric daytime and nighttime temperature sensitivity and relative humidity

2022 ◽  
Vol 312 ◽  
pp. 108709
Author(s):  
Nan Li ◽  
Junjiong Shao ◽  
Guiyao Zhou ◽  
Lingyan Zhou ◽  
Zhenggang Du ◽  
...  
Forests ◽  
2020 ◽  
Vol 11 (2) ◽  
pp. 140
Author(s):  
Yonggang Chi ◽  
Qingpeng Yang ◽  
Lei Zhou ◽  
Ruichang Shen ◽  
Shuxia Zheng ◽  
...  

Temperature sensitivity (Q10) of ecosystem respiration (ER) is a crucial parameter for predicting the fate of CO2 in terrestrial e cosystems under global warming. Most studies focus their attention in the variation of Q10 in one or two components of ER, but not in the integration or comparison among Q10 in major components of ER. Vertical and seasonal variations in individual components, including leaf respiration, stem respiration and soil respiration, of ER were observed synchronously along the gradient of leaf–stem–soil over a 2 year period in three forest stands dominated by masson pine, loblolly pine and oak, respectively, in a subtropical forest ecosystem of central China. We found that Q10 in individual components of ER increased along the vertical gradient of leaf–stem–soil. The vertical pattern of Q10 in individual components of ER was ascribed to variations of diurnal temperature range (DTR) and activation energy (ΔHa). These results suggest that a vertical pattern of Q10 in individual components of ER along the gradient of leaf–stem–soil should be taken into consideration in process-based models that simulate respiratory carbon flux in terrestrial ecosystems.


2014 ◽  
Vol 7 (5) ◽  
pp. 419-428 ◽  
Author(s):  
Bing Song ◽  
Shuli Niu ◽  
Ruisen Luo ◽  
Yiqi Luo ◽  
Jiquan Chen ◽  
...  

2021 ◽  
Vol 7 (15) ◽  
pp. eabc7358
Author(s):  
Ben Niu ◽  
Xianzhou Zhang ◽  
Shilong Piao ◽  
Ivan A. Janssens ◽  
Gang Fu ◽  
...  

Warming-induced carbon loss through terrestrial ecosystem respiration (Re) is likely getting stronger in high latitudes and cold regions because of the more rapid warming and higher temperature sensitivity of Re (Q10). However, it is not known whether the spatial relationship between Q10 and temperature also holds temporally under a future warmer climate. Here, we analyzed apparent Q10 values derived from multiyear observations at 74 FLUXNET sites spanning diverse climates and biomes. We found warming-induced decline in Q10 is stronger at colder regions than other locations, which is consistent with a meta-analysis of 54 field warming experiments across the globe. We predict future warming will shrink the global variability of Q10 values to an average of 1.44 across the globe under a high emission trajectory (RCP 8.5) by the end of the century. Therefore, warming-induced carbon loss may be less than previously assumed because of Q10 homogenization in a warming world.


2021 ◽  
Author(s):  
Huanyuan Zhang ◽  
Zhiyuan Zhang ◽  
Zikun Cui ◽  
Feng Tao ◽  
Ziwei Chen ◽  
...  

<p>Many studies have been carried out to quantify the trend of terrestrial ecosystem respiration (Re) in a warming world, but a conclusive answer has not yet been confirmed because the temperature sensitivity of Re was found inconsistent under different scales or regarding different types of respiratory flux.  Aiming at clarifying the relationship between temperature and Re across different scales, we proposed a method to counteract the confounding effect and applied nine empirical models to a 1,387 site-years FLUXNET dataset.  Regarding the temperature sensitivity of half-hourly Re records, we found a surprisingly consistent result that the sigmoid functions outcompeted other statistical models in almost all datasets (account for 82%), and on average, achieved a staggering R<sup>2</sup> value of 0.92, indicating the positive correlation between Re and temperature on fine time scale (within one site-year dataset).  Even though Re of all biomes followed sigmoid functions, the parameters of the S-curve varied strongly across sites.  This explains why measured Q<sub>10</sub> value (an index denote temperature sensitivity) largely depends on observation season and site.  Furthermore, on the interannual variation of Re, we did not find any relationship between mean annual temperature (MAT) and mean annual Re within any site, which implies that the small year-to-year variation of the sigmoid pattern is large enough to counteract the warming effect on Re.  This study thereby put forward a conceptual model to integrate the relationship between temperature and Re under different scales. It also provided evidences to support the argument that the relationship between MAT and mean annual Re (i.e., respiration under global warming) should not be inferred from studies on other temporal or spatial scales.</p>


Author(s):  
Cristian Gudasz ◽  
Jan P Karlsson ◽  
David Bastviken

Abstract The temperature response of ecosystem processes is key to understand and predict impacts of climate change. This is especially true for respiration, given its high temperature sensitivity and major role in the global carbon cycle. However, similar intrinsic temperature sensitivity for respiration does not mean comparable temperature effects across ecosystems and biomes because non-temperature factors can be more important. Here we analyzed soil and sediment respiration data and found that in temperature ranges corresponding to high latitude mean temperatures, absolute respiration rates are more sensitive to non-temperature factors than to projected direct temperature effects. However, at higher temperatures (>20 °C) the direct effect of temperature mediated by temperature sensitivity will likely be more important over changes in non-temperature factors in shaping how respiration change over time. This supports past suggestions that the relatively small projected temperature increase at low (tropical) latitudes may have a large direct impact on absolute respiration. In contrast, absolute respiration rates at high (boreal/arctic) latitudes will likely be more sensitive on the development of the non-temperature factors than on the direct effects of the large projected temperature increase there.


2020 ◽  
Author(s):  
Julia Kelly ◽  
Natascha Kljun ◽  
Lars Eklundh ◽  
Leif Klemedtsson ◽  
Bengt Liljebladh ◽  
...  

<p>The majority of the world’s peatlands are located in northern regions where climate change is occurring most rapidly. Therefore, there is an urgent need to understand whether, and under what conditions, peatlands will remain carbon sinks or become carbon sources. The uncertainties in our predictions stem from a variety of sources, including uncertainty about the competing effects of rising air temperature on ecosystem respiration (R<sub>e</sub>) and gross primary production. Furthermore, peatlands contain a mixture of plant communities that respond differently to changes in temperature and precipitation. Such heterogeneity complicates attempts to upscale peatland carbon fluxes and predict the future peatland carbon balance.</p><p> </p><p>We focus on understanding the sensitivity of peatland R<sub>e</sub> to temperature and how it relates to vegetation community and the choice of temperature metric. We assess how these relationships changed during and after the severe heatwave and drought (‘hot drought’) in 2018. We conducted manual dark chamber CO<sub>2</sub> efflux measurements in Mycklemossen, an oligotrophic mire in southern Sweden in 2018 and in 2019, when weather conditions were closer to the long-term mean. The measurements covered the two main vegetation communities at the site: hummocks (vascular-plant dominated) and hollows (<em>Sphagnum</em>-dominated). We statistically compared the fluxes for both years and vegetation communities, then modelled them using three temperature metrics (air, surface, soil).</p><p> </p><p>We found that R<sub>e</sub> decreased during the hot drought for both vegetation communities, with maximum fluxes of 0.18 and 0.34 mgCO<sub>2</sub> m<sup>-2</sup> s<sup>-1</sup> in 2018 and 2019, respectively. However, the change in R<sub>e</sub> during the hot drought was dependent on vegetation community: hummock R<sub>e</sub> decreased substantially more than hollow R<sub>e</sub> (mean decrease: 48% and 15%, respectively). As a result, hollow R<sub>e</sub> was highest during drought whereas hummock R<sub>e</sub> was highest during non-drought conditions. Despite significant differences in R<sub>e</sub> between the vegetation communities, we found no significant differences in temperature between hummock and hollow vegetation, apart from in July and August 2018, at the peak of the hot drought. Nevertheless, hollow R<sub>e</sub> was more temperature-sensitive than hummock R<sub>e</sub> both during and after the hot drought. Furthermore, the temperature sensitivity of modelled R<sub>e</sub> depended on the choice of driving temperature, such that the surface temperature driven model produced the lowest whilst the soil temperature driven model produced the highest temperature sensitivity. Differences in temperature sensitivity of R<sub>e</sub> between the drought and non-drought conditions were similarly dependent on the temperature metric used to drive the R<sub>e</sub> model.</p><p> </p><p>We found that peatland R<sub>e</sub> almost halved during a hot drought. Our results show that predictions of peatland response to warming must account for the proportion of different vegetation communities present, and how this may change, due to their differing responses to warming. The choice of driving temperature in peatland R<sub>e</sub> models does not impact model accuracy but it does influence the temperature-sensitivity, and thus the impact of temperature variations on the modelled flux. Modellers should therefore base parameter choices on vegetation community and driving temperature. Furthermore, comparisons of R<sub>e</sub> sensitivity to warming between studies using different driving temperatures may be misleading.  </p>


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