scholarly journals The effect of nutrient availability on global forest carbon balance is uncertain

2014 ◽  
Author(s):  
Enzai Du

To the Editor ? Fern?ndez-Mart?nez et al. 1 show a chief determinant of nutrient availability on net ecosystem production (NEP) and ecosystem carbon-use efficiency (CUEe, the ratio of NEP to gross primary production i.e. GPP) in global forests. However, their conclusions depend on an improper treatment of differences in the GPP range of nutrient-rich and nutrient-poor forests (uneven sampling effect) and outliers. A statistical re-analysis of their datasets, while simultaneously excluding the uneven sampling effect and outliers, indicates no significant control of nutrient availability on carbon (C) balance.

2015 ◽  
Vol 5 (11) ◽  
pp. 960-961 ◽  
Author(s):  
M. Fernández-Martínez ◽  
S. Vicca ◽  
I. A. Janssens ◽  
J. Sardans ◽  
S. Luyssaert ◽  
...  

2007 ◽  
Vol 13 (6) ◽  
pp. 1157-1167 ◽  
Author(s):  
EVAN H. DeLUCIA ◽  
JOHN E. DRAKE ◽  
RICHARD B. THOMAS ◽  
MIQUEL GONZALEZ-MELER

2000 ◽  
Vol 125 (6) ◽  
pp. 702-706 ◽  
Author(s):  
Marc W. van Iersel ◽  
Lynne Seymour

Respiration is important in the overall carbon balance of plants, and can be separated into growth (Rg) and maintenance respiration (Rm). Estimation of Rg and Rm throughout plant development is difficult with traditional approaches. Here, we describe a new method to determine ontogenic changes in Rg and Rm. The CO2 exchange rate of groups of 28 `Cooler Peppermint' vinca plants [Catharanthus roseus (L.) G. Don.] was measured at 20 min intervals for 2 weeks. These data were used to calculate daily carbon gain (DCG, a measure of growth rate) and cumulative carbon gain (CCG, a measure of plant size). Growth and maintenance respiration were estimated based on the assumption that they are functions of DCG and CCG, respectively. Results suggested a linear relationship between DCG and Rg. Initially, Rm was three times larger than Rg, but they were similar at the end of the experiment. The decrease in the fraction of total available carbohydrates that was used for Rm resulted in an increase in carbon use efficiency from 0.51 to 0.67 mol·mol-1 during the 2-week period. The glucose requirement of the plants was determined from Rg, DCG, and the carbon fraction of the plant material and estimated to be 1.39 g·g-1, while the maintenance coefficient was estimated to be 0.031 g·g-1·d-1 at the end of the experiment. These results are similar to values reported previously for other species. This suggests that the use of semicontinuous CO2 exchange measurements for estimating Rg and Rm yields reasonable results.


2018 ◽  
Vol 123 (8) ◽  
pp. 2388-2398 ◽  
Author(s):  
Fangfang Ma ◽  
Bing Song ◽  
Fangyue Zhang ◽  
Quan Quan ◽  
Qingping Zhou ◽  
...  

2013 ◽  
Vol 10 (5) ◽  
pp. 3089-3108 ◽  
Author(s):  
D. Zanotelli ◽  
L. Montagnani ◽  
G. Manca ◽  
M. Tagliavini

Abstract. Carbon use efficiency (CUE), the ratio of net primary production (NPP) over gross primary production (GPP), is a functional parameter that could possibly link the current increasingly accurate global GPP estimates with those of net ecosystem exchange, for which global predictors are still unavailable. Nevertheless, CUE estimates are actually available for only a few ecosystem types, while information regarding agro-ecosystems is scarce, in spite of the simplified spatial structure of these ecosystems that facilitates studies on allocation patterns and temporal growth dynamics. We combined three largely deployed methods, eddy covariance, soil respiration and biometric measurements, to assess monthly values of CUE, NPP and allocation patterns in different plant organs in an apple orchard during a complete year (2010). We applied a measurement protocol optimized for quantifying monthly values of carbon fluxes in this ecosystem type, which allows for a cross check between estimates obtained from different methods. We also attributed NPP components to standing biomass increments, detritus cycle feeding and lateral exports. We found that in the apple orchard, both net ecosystem production and gross primary production on a yearly basis, 380 ± 30 g C m−2 and 1263 ± 189 g C m−2 respectively, were of a magnitude comparable to those of natural forests growing in similar climate conditions. The largest differences with respect to forests are in the allocation pattern and in the fate of produced biomass. The carbon sequestered from the atmosphere was largely allocated to production of fruit: 49% of annual NPP was taken away from the ecosystem through apple production. Organic material (leaves, fine root litter, pruned wood and early fruit falls) contributing to the detritus cycle was 46% of the NPP. Only 5% was attributable to standing biomass increment, while this NPP component is generally the largest in forests. The CUE, with an annual average of 0.71 ± 0.12, was higher than the previously suggested constant values of 0.47–0.50. Low nitrogen investment in fruit, the limited root apparatus, and the optimal growth temperature and nutritional condition observed at the site are suggested to be explanatory variables for the high CUE observed.


2019 ◽  
Vol 22 (12) ◽  
pp. 2067-2076 ◽  
Author(s):  
Carl Wepking ◽  
Brian Badgley ◽  
John E. Barrett ◽  
Katharine F. Knowlton ◽  
Jane M. Lucas ◽  
...  

2011 ◽  
Vol 262 (7) ◽  
pp. 1318-1325 ◽  
Author(s):  
David P. Turner ◽  
William D. Ritts ◽  
Zhiqiang Yang ◽  
Robert E. Kennedy ◽  
Warren B. Cohen ◽  
...  

2013 ◽  
Vol 6 (4) ◽  
pp. 5475-5488 ◽  
Author(s):  
W. Yuan ◽  
S. Liu ◽  
W. Cai ◽  
W. Dong ◽  
J. Chen ◽  
...  

Abstract. Models of gross primary production (GPP) are currently parameterized with vegetation-specific parameter sets and therefore require accurate information on the distribution of vegetation to drive them. Can this parameterization scheme be replaced with a vegetation-invariant set of parameter that can maintain or increase model applicability by reducing errors introduced from the uncertainty of land cover classification? Based on the measurements of ecosystem carbon fluxes from 150 globally distributed sites in a range of vegetation types, we examined the predictive capacity of seven light use efficiency (LUE) models. Two model experiments were conducted: (i) a constant set of parameters for various vegetation types and (ii) vegetation-specific parameters. The results showed no significant differences in model performances to simulate GPP while using both sets of parameters. These results indicate that a universal set of parameters, which is independent of vegetation cover type and characteristics can be adopted in prevalent LUE models. Availability of this well tested and universal set of parameters would help to improve the accuracy and applicability of LUE models in various biomes and geographic regions.


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