Aboveground Autotrophic Respiration

Author(s):  
Nelson T. Edwards ◽  
Paul J. Hanson
2012 ◽  
Vol 19 (2) ◽  
pp. 649-661 ◽  
Author(s):  
Caitlin E. Hicks Pries ◽  
Edward A. G. Schuur ◽  
Kathryn G. Crummer

Geoderma ◽  
2020 ◽  
Vol 369 ◽  
pp. 114339
Author(s):  
Xiaolu Tang ◽  
Xiangjun Pei ◽  
Ningfei Lei ◽  
Xinrui Luo ◽  
Liang Liu ◽  
...  

2008 ◽  
Vol 363 (1498) ◽  
pp. 1811-1817 ◽  
Author(s):  
Jon Lloyd ◽  
Graham D Farquhar

Using a mixture of observations and climate model outputs and a simple parametrization of leaf-level photosynthesis incorporating known temperature sensitivities, we find no evidence for tropical forests currently existing ‘dangerously close’ to their optimum temperature range. Our model suggests that although reductions in photosynthetic rate at leaf temperatures ( T L ) above 30°C may occur, these are almost entirely accountable for in terms of reductions in stomatal conductance in response to higher leaf-to-air vapour pressure deficits D . This is as opposed to direct effects of T L on photosynthetic metabolism. We also find that increases in photosynthetic rates associated with increases in ambient [CO 2 ] over forthcoming decades should more than offset any decline in photosynthetic productivity due to higher D or T L or increased autotrophic respiration rates as a consequence of higher tissue temperatures. We also find little direct evidence that tropical forests should not be able to respond to increases in [CO 2 ] and argue that the magnitude and pattern of increases in forest dynamics across Amazonia observed over the last few decades are consistent with a [CO 2 ]-induced stimulation of tree growth.


2013 ◽  
Vol 32 (2) ◽  
pp. 507-516 ◽  
Author(s):  
Robert O. Hall ◽  
Jake J. Beaulieu

2013 ◽  
pp. n/a-n/a ◽  
Author(s):  
Dejun Li ◽  
Xuhui Zhou ◽  
Liyou Wu ◽  
Jizhong Zhou ◽  
Yiqi Luo

2020 ◽  
Vol 43 (9) ◽  
pp. 2054-2065
Author(s):  
Arne Ven ◽  
Melanie S. Verlinden ◽  
Erik Fransen ◽  
Pål Axel Olsson ◽  
Erik Verbruggen ◽  
...  

2021 ◽  
Author(s):  
Xiaolu Tang ◽  
Yuehong Shi ◽  
Xinrui Luo ◽  
Liang Liu ◽  
Jinshi Jian ◽  
...  

<p>Belowground or ‘soil’ autotrophic respiration (RAsoil) depends on carbohydrates from photosynthesis flowing to roots and rhizospheres, and is one of the most important but uncertain components in forest carbon cycling. Carbon allocation plays an important role in forest carbon cycling and reflects forest adaptation to changing environmental conditions. However, carbon allocation to RAsoil is rarely measured directly and has not been fully examined at the global scale. To fill this knowledge gap, the spatio-temporal patterns of RAsoil with a spatial resolution of half degree from 1981 to 2017 were predicted by Random Forest (RF) algorithm using the most updated Global Soil Respiration Database (v5) with global environmental variables; carbon allocation from photosynthesis to RAsoil (CAsoil), was calculated as the ratio of RAsoil to gross primary production (GPP); and its temporal and spatial patterns were assessed in global forest ecosystems. We found strong temporal and spatial variabilities of RAsoil with an increasing trend from boreal forests to tropical forests. Globally, mean RAsoil from forests was 8.9 ± 0.08 Pg C yr<sup>-1</sup> (mean ± standard deviation) from 1981 to 2017 increasing at a rate of 0.0059 Pg C yr<sup>-2</sup>, paralleling broader soil respiration changes and indicating an increasing carbon loss respired by roots. Mean CAsoil was 0.243 ± 0.016 and showed a decreasing trend over time, although there were interannual variabilities, indicating that CAsoil was sensitive to environmental changes. The temporal trend of CAsoil varied greatly in space, reflecting uneven responses of CAsoil to environmental changes. The spatio-temporal variability of carbon allocation should be considered in global biogeochemical models to accurately predict belowground carbon cycling in an era of ongoing climate change. </p>


Sign in / Sign up

Export Citation Format

Share Document