scholarly journals Decreased water limitation under elevated CO2 amplifies potential for forest carbon sinks

2015 ◽  
Vol 112 (23) ◽  
pp. 7213-7218 ◽  
Author(s):  
Caroline E. Farrior ◽  
Ignacio Rodriguez-Iturbe ◽  
Ray Dybzinski ◽  
Simon A. Levin ◽  
Stephen W. Pacala

Increasing atmospheric CO2 concentrations and changing rainfall regimes are creating novel environments for plant communities around the world. The resulting changes in plant productivity and allocation among tissues will have significant impacts on forest carbon storage and the global carbon cycle, yet these effects may depend on mechanisms not included in global models. Here we focus on the role of individual-level competition for water and light in forest carbon allocation and storage across rainfall regimes. We find that the complexity of plant responses to rainfall regimes in experiments can be explained by individual-based competition for water and light within a continuously varying soil moisture environment. Further, we find that elevated CO2 leads to large amplifications of carbon storage when it alleviates competition for water by incentivizing competitive plants to divert carbon from short-lived fine roots to long-lived woody biomass. Overall, we find that plant dependence on rainfall regimes and plant responses to added CO2 are complex, but understandable. The insights developed here will serve as an important foundation as we work to predict the responses of plants to the full, multidimensional reality of climate change, which involves not only changes in rainfall and CO2 but also changes in temperature, nutrient availability, and disturbance rates, among others.

2014 ◽  
Vol 5 (2) ◽  
pp. 148-156 ◽  
Author(s):  
Xiao Yu ◽  
An Kai ◽  
Yang Yang ◽  
Xie Gaodi ◽  
Lu Chunxia

2016 ◽  
Vol 35 (5) ◽  
pp. 311-323 ◽  
Author(s):  
Elizabeth L. Kalies ◽  
Karen A. Haubensak ◽  
Alex J. Finkral

2013 ◽  
Vol 37 (2) ◽  
pp. 142-149 ◽  
Author(s):  
Ya-Cong WU ◽  
Zheng-Cai LI ◽  
Cai-Fang CHENG ◽  
Rong-Jie LIU ◽  
Bin WANG ◽  
...  

2012 ◽  
Vol 2012 ◽  
pp. 1-10 ◽  
Author(s):  
Weida Yin ◽  
Mingfang Yin ◽  
Lin Zhao ◽  
Lin Yang

Estimation of forest carbon storage can be of great significance to the research on the productivity of terrestrial ecosystem, carbon cycle, and global warming. China has more than 54 million hm2barren hills and waste land suitable for forestation, which provides a great potential for developing carbon sink forestry by means of forestation. This research analyzed the volume increments, volume densities, and carbon contents of 15 analytical samples of five main plantation tree species in North China, includingPinus tabulaeformis(A),Robinia pseudoacacia(B),Populus euramericana(C),Larix olgenisis(D), andLarix kaempferi(E). Results showed that carbon storage dynamic process can be expressed as follows: the ages of quantitative maturity of each tree species are 67a, 40a, 30a, 48a, 49a, respectively; the average wood densities of each tree species at different age classes are 550.93 kg/m3, 629.25 kg/m3, 404.56 kg/m3, 592.33 kg/m3, and 544.11 kg/m3,t. The average carbon contents of each tree species at different age classes are 51.48%, 46.88%, 47.81%, 46.76%, and 47.24%. It showed a significant difference between the above tree species through variance test. The maximum values of average carbon storage are 70a, 40a, 30a, 48.7a, and 49.2a, respectively. The corresponding average carbon storages are A 2.527 kg, B 3,794 kg, C 2.781 kg, D 2.996 kg, and E 3,322 kg, in a descending order ofC>E>D>B>A. This research, through experiment on four tree species with clear growth rings and one tree species with unclear growth rings, verified the scientific character and the scope of application of the carbon storage dynamic analysis method, providing a new method for the measurement and analysis of forest carbon storage.


2016 ◽  
Vol 36 (17) ◽  
Author(s):  
陆君 LU Jun ◽  
刘亚风 LIU Yafeng ◽  
齐珂 QI Ke ◽  
樊正球 FAN Zhengqiu

2016 ◽  
Vol 36 (21) ◽  
Author(s):  
刘兆丹 LIU Zhaodan ◽  
李斌 LI Bin ◽  
方晰 FANG Xi ◽  
项文化 XIANG Wenhua ◽  
田大伦 TIAN Dalun ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document