Mitigation of climate change with biomass harvesting in Norway spruce stands: are harvesting practices carbon neutral?

2015 ◽  
Vol 45 (2) ◽  
pp. 217-225 ◽  
Author(s):  
Raisa Mäkipää ◽  
Tapio Linkosalo ◽  
Alexander Komarov ◽  
Annikki Mäkelä

Biomass combustion is considered to be carbon neutral, but intensive biomass harvesting may negatively impact carbon stocks in forest soil and vegetation, which can offset the benefits of substituting fossil fuels with biomass. Here we evaluated conventional stem-only harvesting, whole-tree harvesting (WTH), and WTH excluding needles in terms of timber yield, biomass harvests, and forest carbon sequestration. We simulated harvest scenarios in current and changed climates with a process-based growth model (PipeQual) that was integrated with models describing soil decomposition (ROMUL) and soil water dynamics. Furthermore, we compared gains and losses of forest carbon with reductions in fossil-fuel emissions that result from using harvested biomass for energy production. WTH negatively affected stand growth, biomass, and soil carbon stock; negative effects on growth and biomass can be reduced by leaving nitrogen-rich needles behind during WTH. In a changed climate, organic-matter decomposition and nitrogen mineralization accelerated and tree growth was enhanced, increasing the carbon stock of trees and slightly decreasing the soil carbon stock. In the changed climate, WTH had less influence on forest growth and a similar influence on soil carbon sequestration than in the current climate. In the current climate, the WTH decreased the forest carbon stock by, on average, 26.8 Mg C·ha−1 over the rotation period. If harvested forest residues are used for energy production instead of fossil fuels, emissions decline by 19 Mg C·ha−1 (when WTH is applied over a rotation period). Thus, our analysis suggests that using forest residues for energy production leads to a net increase in carbon emissions.

Author(s):  
S. L. Ghavale ◽  
V. V. Shinde ◽  
S. M. Wankhede ◽  
H. P. Maheswarappa ◽  
P. M. Haldankar

Field experiment was carried out at All India Coordinated Research Project on Palms, Regional Coconut Research Station, Bhatye (DBSKKV, Dapoli), Maharashtra, (India) during the period of 2004-2016 to assess the carbon sequestration and productivity potential of twelve coconut hybrids and three varieties which was laid out in a randomized block design with three replications. Results showed that the two hybrids viz, GBGD x ECT (127.6 nuts/palm/year) and COD x LCT (108.0 nuts/palm/year) are superior with respect to nut production followed by WCT x MYD (107.6 nuts), ECT x GBGD (106.9 nuts) and the standard variety ‘Pratap’. Furthermore, the coconut orchard substantially contributed towards improving the above and below ground carbon stock. The above ground standing biomass and carbon stock recorded was the highest in the variety East Coast Tall (312 kg/plant and 27.32 t/ha, respectively) followed by hybrid WCT x GBGD (308.69 kg/plant and 27.01 t/ha, respectively) and the lowest was in hybrid MYD x ECT (138.71 kg/plant and 12.14 t/ha, respectively). The highest soil carbon stock 39.12 t/ha and 37.16 t/ha at 0-30 and 31-60 cm depth was recorded in the rhizosphere of hybrid ECT x MYD and the lowest soil carbon stock (35.52 t/ha and 34.71 t/ha) was observed in hybrid PHOT x GBGD.


2020 ◽  
Author(s):  
Henriikka Vekuri ◽  
Juha-Pekka Tuovinen ◽  
Mika Korkiakoski ◽  
Laura Heimsch ◽  
Liisa Kulmala ◽  
...  

<p>Mitigation of climate change requires – besides reductions in greenhouse gas emissions – actions to increase carbon sinks and storages in terrestrial ecosystems. Agricultural lands have a high potential for increased carbon sequestration through climate-smart land management and agricultural practices. However, in order to make climate-smart farming an accredited solution for climate policy, carbon markets and product footprints, reliable verification of carbon sequestration is needed. Direct measurement of the changes in soil carbon stock is slow, laborious and expensive and has significant uncertainties due to large background stocks and high spatial variability. An alternative is to infer the soil carbon stock change from measurements of the gaseous carbon fluxes between ecosystems and the atmosphere using the micrometeorological eddy covariance (EC) method.</p><p>Eddy covariance measures net ecosystem exchange (NEE), which is a small difference between two large components: carbon uptake by photosynthesis and losses due to plant and soil respiration. Therefore, small changes in either of them results in a large change in NEE. This sensitivity is also reflected in uncertainty estimates, which are critical for defining confidence intervals for annual carbon budget estimates and for making statistically valid comparisons of different management practices.  In addition, there are inevitable gaps in the data due to instrument failure, power shortages and non-ideal flow conditions. Therefore, in order to calculate daily and annual sums, the collected data must be temporally upscaled or gap-filled, which constitutes a major additional source of uncertainty. This study compares two different gap-filling methods for CO₂ fluxes: (1) an artificial neural network and (2) non-linear regression, which uses temperature and radiation as drivers. Uncertainties associated with both methods are estimated and discussed. The analysis is based on EC flux measurements conducted at two agricultural grassland sites in Finland.</p>


Author(s):  
Telmo José Mendes ◽  
Diego Silva Siqueira ◽  
Eduardo Barretto de Figueiredo ◽  
Ricardo de Oliveira Bordonal ◽  
Mara Regina Moitinho ◽  
...  

2019 ◽  
Vol 76 (1) ◽  
pp. 33-40 ◽  
Author(s):  
Aline Segnini ◽  
Alfredo Augusto Pereira Xavier ◽  
Pedro Luis Otaviani-Junior ◽  
Patrícia Perondi Anchão Oliveira ◽  
André de Faria Pedroso ◽  
...  

2006 ◽  
Vol 25 (S1) ◽  
pp. 278-278
Author(s):  
Xinqing Lee ◽  
Daikuan Huang ◽  
Wei Jiang ◽  
Zhaodong Feng ◽  
Hongguang Cheng ◽  
...  

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