An assessment of observed vertical flux divergence in long-term eddy-covariance measurements over two Midwestern forest ecosystems

2008 ◽  
Vol 148 (2) ◽  
pp. 186-205 ◽  
Author(s):  
H.-B. Su ◽  
H.P. Schmid ◽  
C.S.B. Grimmond ◽  
C.S. Vogel ◽  
P.S. Curtis
2017 ◽  
Vol 247 ◽  
pp. 131-138 ◽  
Author(s):  
Quentin Hurdebise ◽  
Bernard Heinesch ◽  
Anne De Ligne ◽  
Caroline Vincke ◽  
Marc Aubinet

2004 ◽  
Vol 110 (2) ◽  
pp. 213-253 ◽  
Author(s):  
Hong-Bing Su ◽  
Hans Peter Schmid ◽  
C. S. B. Grimmond ◽  
Christoph S. Vogel ◽  
Andrew J. Oliphant

2013 ◽  
Vol 169 ◽  
pp. 122-135 ◽  
Author(s):  
Matthias Mauder ◽  
Matthias Cuntz ◽  
Clemens Drüe ◽  
Alexander Graf ◽  
Corinna Rebmann ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jianqiang Li ◽  
Qibo Chen ◽  
Zhuang Li ◽  
Bangxiao Peng ◽  
Jianlong Zhang ◽  
...  

AbstractThe carbon (C) pool in forest ecosystems plays a long-term and sustained role in mitigating the impacts of global warming, and the sequestration of C is closely linked to the nitrogen (N) cycle. Accurate estimates C and N storage (SC, SN) of forest can improve our understanding of C and N cycles and help develop sustainable forest management policies in the content of climate change. In this study, the SC and SN of various forest ecosystems dominated respectively by Castanopsis carlesii and Lithocarpus mairei (EB), Pinus yunnanensis (PY), Pinus armandii (PA), Keteleeria evelyniana (KE), and Quercus semecarpifolia (QS) in the central Yunnan Plateau of China, were estimated on the basis of a field inventory to determine the distribution and altitudinal patterns of SC and SN among various forest ecosystems. The results showed that (1) the forest SC ranged from 179.58 ± 20.57 t hm−1 in QS to 365.89 ± 35.03 t hm−1 in EB. Soil, living biomass and litter contributed an average of 64.73%, 31.72% and 2.86% to forest SC, respectively; (2) the forest SN ranged from 4.47 ± 0.94 t ha−1 in PY to 8.91 ± 1.83 t ha−1 in PA. Soil, plants and litter contributed an average of 86.88%, 10.27% and 2.85% to forest SN, respectively; (3) the forest SC and SN decreased apparently with increasing altitude. The result demonstrates that changes in forest types can strongly affect the forest SC and SN. This study provides baseline information for forestland managers regarding forest resource utilization and C management.


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