Harmonized Methods for Assessing Carbon Sequestration in European Forests

The MASCAREF (Study under EEC 2152/2003 Forest Focus regulation on developing harmonized methods for assessing carbon sequestration in European forests) project was conducted by a consortium of 10 European institutions coordinated by IFER ¿ Institute of Forest Ecosystem Research, Czech Republic. The overall objective of this project was to contribute to the development of a monitoring scheme for carbon sequestration in forests of the European Union (EU). Specifically, the project aimed at i) strengthening and harmonizing the existing national systems to better meet the requirements of international monitoring and reporting of greenhouse-gas (GHG) emissions and sinks and ii) improving the comparability, transparency and accuracy of the GHG inventory reports of the Land use, land-use change and forestry (LULUCF) sector of the EU Member States, as implemented in the EC Monitoring Mechanism. This project represents a step towards addressing the challenges of GHG inventories and the reporting under the United Nations Framework Convention on Climate Change (UNFCCC) and its Kyoto protocol related to forest land and forest activities. Reflecting the heterogeneity in land use, natural conditions and monitoring data availability, there is a wide variety in greenhouse gas reporting practices within the European Community, which becomes clearly apparent from an overview of the current GHG reporting practices prepared by MASCAREF. The particular tasks of the project were based on available data from regional, national and EU-wide projects and relevant activities that took place over the last decade. The project elaboration was conducted within several major tasks, followed by selected regional case-studies. Firstly, the currently available data and methodological approaches to estimate carbon stock and carbon stock change for emission inventories were analyzed. Secondly, the project conducted an analysis of ICP Forests health monitoring and Forest Focus programs. Similarly, it assessed the potential of utilizing data from the European National Forest Inventories for the purpose of emission inventory under UNFCCC and the Kyoto protocol. Related to this, the JRC AFOLUDATA website on biomass functions and conversion/expansion factors http://afoludata.jrc.ec.europa.eu/index.php/public_area/home) was complemented by adding new factors from the European member states. Also, the methodologies to aggregate the forest carbon stock data based on the National Forest Inventory plots to a 10x10 km grid were explored. Finally, several of the above tasks were elaborated and/or applied in case studies in the selected regions of Europe. The MASCAREF project fulfilled its main objectives and its results should facilitate a further development of monitoring schemes for carbon stock change assessment in forests of the European member states, hopefully leading to an improved GHG reportingJRC.DDG.H.2-Climate chang

LULUCF MRV - Analysis and proposals for enhancing Monitoring, Reporting and Verification of greenhouse gases from Land Use, Land Use Change and Forestry in the EU

Land use land use change and forestry sector (LULUCF) is a greenhouse gas inventory (GHG) sector that covers anthropogenic emissions and removals from terrestrial carbon stocks living biomass dead organic matter and soil organic carbon following six main land use categories, Forest land, Cropland, Grassland, Wetlands, Settlements and Other land. According to the United Nation Framework Contract on Climate Change (UNFCCC) all Parties shall report periodically an update inventory of anthropogenic emissions and removals of GHG using comparable methodologies provided by the Intergovernmental Panel on Climate Change (IPCC). Additional requirements exist for reporting and accounting emissions/removals from related direct-human induced activities under the Kyoto Protocol (KP), because its accounting quantities are counted towards an international commitment reduction target. International negotiations have resulted in recent years in the adoption of new rules (e.g. mandatory accounting of Forest management) for the second commitment period of the KP (CP2: 2013-2020). Furthermore, Decision 529/2013/EU, going beyond the international negotiation, added the mandatory accounting of Cropland management and Grassland management. All these changes pose new challenges that MS will need to face from 2015 (i.e. for starting to report during CP2). This report describes the actions undertaken in the context of the Administrative Arrangement “LULUCF MRV” (Monitoring, Reporting, Verification) with DG CLIMA, trough a sequence of tasks (described in detailed in the Annexes). The aim of the AA is to support MS in improving the quality and comparability of LULUCF reporting during CP2, in line with IPCC methods and the new rules at UNFCCC and EU level.JRC.H.3-Forest Resources and Climat

Organic carbon concentrations and stocks in Romanian mineral forest soils

Estimating soils organic carbon stock and its change in time isan actual concern for scientists and climate change policy makers. Thepresent article firstly focus on determination of C stocks in Romania on forest soil types, as well as development of the spatial distribution mapping using a Geographic Information System (GIS) and also the secondly on the quantification of uncertainty associated with currently available data on C concentration on forest soils geometrical layers. Determination of C stock was done based on forest management plans database created over 2000-2006. Unlike original database, the data for this study was harmonized on following depths: 0-10 cm, 10-20 cm, 20-40 cm, and > 40 cm. Then, the obtained values were grouped by soil types, resulting average values for the main forest soils from Romania. A soil area weighted average value of 137 t/ha is calculated for Romania, in the range of estimationsfor other European geographic and climatic areas. The soils that have the largest amount of organic carbon are andosols, vertisols, entic and haplic podzols, whereas the ones that have the smallest values of organic carbon are solonetz and solonchaks. Although current assessment relies on very large number of samples from the forest management planning database, the variability of C concentration remains very large, ~40-50% for coefficient the variation and ~100% of the average, when defining the range of 95% of entire soil population, rather showing the variability than uncertainty of the average estimated. Best fit for C concentration on geometric layersin any forest soil is asymmetric, associated with log-normal distributions

A practical measure for determining if diameter (D) and height (H) should be combined into D2H in allometric biomass models

Tree diameter at breast height (D) and tree height (H) are often used as predictors of individual tree biomass. Because D and H are correlated, the combined variable D2H is frequently used in regression models instead of two separate independent variables, to avoid collinearity related issues. The justification for D2H is that aboveground biomass is proportional to the volume of a cylinder of diameter, D, and height, H. However, the D2H predictor constrains the model to produce parameter estimates for D and H that have a fixed ratio, in this case, 2.0. In this paper we investigate the degree to which the D2H predictor reduces prediction accuracy relative to D and H separately and propose a practical measure, Q-ratio, to guide the decision as to whether D and H should or should not be combined into D2H. Using five training biomass datasets and two fitting approaches, weighted nonlinear regression and linear regression following logarithmic transformations, we showed that the D2H predictor becomes less efficient in predicting aboveground biomass as the Q-ratio deviates from 2.0. Because of the model constraint, the D2H-based model performed less well than the separate variable model by as much as 12 per cent with regard to mean absolute percentage residual and as much as 18 per cent with regard to sum of squares of log accuracy ratios. For the analysed datasets, we observed a wide variation in Q-ratios, ranging from 2.5 to 5.1, and a large decrease in efficiency for the combined variable model. Therefore, we recommend using the Q-ratio as a measure to guide the decision as to whether D and H may be combined further into D2H without the adverse effects of loss in biomass prediction accuracy

Silvicultural Interventions Drive the Changes in Soil Organic Carbon in Romanian Forests According to Two Model Simulations

We investigated the effects of forest management on the carbon (C) dynamics in Romanian forest soils, using two model simulations: CBM-CFS3 and Yasso15. Default parametrization of the models and harmonized litterfall simulated by CBM provided satisfactory results when compared to observed data from National Forest Inventory (NFI). We explored a stratification approach to investigate the improvement of soil C prediction. For stratification on forest types only, the NRMSE (i.e., normalized RMSE of simulated vs. NFI) was approximately 26%, for both models; the NRMSE values reduced to 13% when stratification was done based on climate only. Assuming the continuation of the current forest management practices for a period of 50 years, both models simulated a very small C sink during simulation period (0.05 MgC ha(-1) yr(-1)). Yet, a change towards extensive forest management practices would yield a constant, minor accumulation of soil C, while more intensive practices would yield a constant, minor loss of soil C. For the maximum wood supply scenario (entire volume increment is removed by silvicultural interventions during the simulated period) Yasso15 resulted in larger emissions (-0.3 MgC ha(-1) yr(-1)) than CBM (-0.1 MgC ha(-1) yr(-1)). Under 'no interventions' scenario, both models simulated a stable accumulation of C which was, nevertheless, larger in Yasso15 (0.35 MgC ha(-1) yr(-1)) compared to CBM-CSF (0.18 MgC ha(-1) yr(-1)). The simulation of C stock change showed a strong "start-up" effect during the first decade of the simulation, for both models, explained by the difference in litterfall applied to each scenario compared to the spinoff scenario. Stratification at regional scale based on climate and forest types, represented a reasonable spatial stratification, that improved the prediction of soil C stock and stock change.Peer reviewe

The Influence of Age, Location and Soil Conditions on the Allometry of Young Norway Spruce (Picea abies L. Karst.) Trees

In this study the influence of tree’s age, location (i.e. latitude and altitude) and soil conditions (i.e. pH, humus content, carbon to nitrogen ratio, cation exchange capacity and percent base saturation) on tree allometry was investigated. The data was collected from 22 Norway spruce (Picea abies L. Karst) plantations located in Eastern Carpathians of Romania, aged between 4 and 15. From each plantation a soil sample and 10 trees were collected for soil chemical properties and biomass measurements, respectively. Root collar diameter (RCD) and height (H) based allometric equations were developed for total tree and vegetative organs of the tree (i.e. stem, branches, needles and roots). Furthermore, the interaction between the standardised residuals of these models and the tested factors was analysed. In order to account for the random effect of the clustered data, the mixed-effect modelling procedure was used. The results have shown no influence of these factors (age, location and soil conditions) on RCD based models, except for branches biomass model which was linked to soil carbon/nitrogen ratio. The H based models, however, were significantly influenced by latitude and soil cation exchange capacity as a consequence of H/RCD ratio change with these factors. The trees were more likely to allocate more to height growth when growing in higher latitudes or on soils with higher values of cation exchange capacity

Site-effects on biomass allometric models for early growth plantations of Norway spruce ( Picea abies (L.) Karst.)

Although it is commonly assumed that biomass allometric models are site specific, evaluations of site-effects are rarely undertaken. In this paper we develop biomass-allometric models to determine site influences. This study is based on data from 240 Norway spruce trees (Picea abies (L.) Karst.), growing in 24 early-growth plantations. A multilevel modelling approach was adopted and intraclass correlation was used to evaluate site effects. Results indicated that biomass allometric models were highly specific to sites and that, depending on the biomass component and the type of predictor adopted, some 33% and 86% of overall model variance could be attributed to forest stand effects. The remaining variance was attributable within stand variability. Stem biomass was the most site-specific biomass component whereas branch biomass was the least influenced by site effects. Diameter at collar height (D) was less site-specific than height (H) in predicting biomass. Using D and H within the same model as distinct predictors, although improving the model fit, increased the model site-specificity. However, when D and H were combined in one predictor expression (i.e. D2H), this reduced model site specificity, despite requiring fewer parameters than other models. This also compensated for undesirable collinearity effects amongst predictor variables. Furthermore, for the sampled diameter range, the site-specificity was mainly driven by biomass allocation pattern (to branches, needles and roots). The considerable between site variability of allometric relationships suggests that consideration of stand effects is essential for the robust prediction of biomass

Carbon implications of forest restitution in post-socialist Romania

The collapse of socialism in 1989 triggered a phase of institutional restructuring in Central and Eastern Europe. Several countries chose to privatize forests or to return them to pre-socialist owners. Here, we assess the implications of forest restitution on the terrestrial The collapse of socialism in 1989 triggered a phase of institutional restructuring in Central and Eastern Europe. Several countries chose to privatize forests or to return them to pre-socialist owners. Here, we assess the implications of forest restitution on the terrestrial carbon balance. New forest owners have strong incentives to immediately clearcut their forests, resulting in increased terrestrial emissions. On the other hand, logging generally decreased after 1989 and forests are expanding on unused or abandoned farmland, both of which may offset increased logging on restituted forests. We mapped changes in forest cover for the entire country of Romania using Landsat satellite images from 1990 to 2010. We use our satellite estimates, together with historic data on logging rates and changes in forest cover, to parameterize a carbon book-keeping model for estimating the terrestrial carbon flux (above and below ground) as a consequence of land use change and forest harvest. High logging rates during socialism resulted in substantial terrestrial carbon emissions and Romania was a net carbon source until the 1980s. After the collapse of the Soviet Union forest harvest rates decreased dramatically, but since restitution laws were implemented they have increased by 60% (from 15 122 ± 5397 ha y − 1 in 2000 to 23 884 ± 11 510 ha y − 1 in 2010), but still remain lower than prior to 1989. Romania currently remains a terrestrial carbon sink, offsetting 7.6% ± 2.5% of anthropogenic carbon emissions. A further increase in logging could result in net emissions from terrestrial ecosystems during the coming decades. However, forest expansion on degraded land and abandoned farmland offers great potential for carbon sequestration. decreased after 1989 and forests are expanding on unused or abandoned farmland, both of which may offset increased logging on restituted forests. We mapped changes in forest cover for the entire country of Romania using Landsat satellite images from 1990 to 2010. We use our satellite estimates, together with historic data on logging rates and changes in forest cover, to parameterize a carbon book-keeping model for estimating the terrestrial carbon flux (above and below ground) as a consequence of land use change and forest harvest. High logging rates during socialism resulted in substantial terrestrial carbon emissions and Romania was a net carbon source until the 1980s. After the collapse of the Soviet Union forest harvest rates decreased dramatically, but since restitution laws were implemented they have increased by 60% (from 15 122 ± 5397 ha y − 1 in 2000 to 23 884 ± 11 510 ha y − 1 in 2010), but still remain lower than prior to 1989. Romania currently remains a terrestrial carbon sink, offsetting 7.6% ± 2.5% of anthropogenic carbon emissions. A further increase in logging could result in net emissions from terrestrial ecosystems during the coming decades. However, forest expansion on degraded land and abandoned farmland offers great potential for carbon sequestration.Peer Reviewe

Options and implications for agricultural production - Report of Task 7: Final Report

CAPRESE has led to a better understanding of the potential of using specific land management practices in preserving and increasing the stock of organic carbon in the agricultural soils of the EU. The scientific literature relating to a range of carbon sequestration measures has been synthesised and evaluated for their potential applicability. Land management has a significant impact on SOC stocks with a number of measures clearly leading to carbon emissions. Conversely, a number of practices can be used to preserve and increase SOC levels. A novel modelling platform suggests that existing assessments of the SOC stock associated with agricultural topsoil in the EU may be over-estimating the current pool by around 24%. The project shows a topsoil SOC pool of 16 Gt., 7.4 and 5.4 Gt respectively between arable and pasture. The model shows that grassland conversion to cropland can have a strong negative impact on the overall C balance in the EU and consequently should be preserved (together with peatlands). Promising management practices for sequestering SOC include cover crops, complex rotation including residue management and reduced tillage. Such measures give C sequestration rates of up to 0.5 t C ha-1 yr-1. However, their effect was strongly dependent on the spatial and temporal extent considered and the scenarios clearly show strong regional differences in the performance of measures. An integrated approach in which measures are combined, could have a significant impact. An implementation scenario of a 12% uptake of mitigation measures gave a cumulated sequestration value of 101 Mt by 2020. Increased areas and variation in implementation patterns could give rise to higher values. Extensive and comparable data on the financial aspects of the implementation and cost-benefit of measures are limited or absent. Substantial effort is required to address these issues. Simplistic scenario analysis shows that on the basis of a conservative implementation of mitigation measures, a SOC stock with a perceived trading value of €500 million could be established by 2020. Such values imply that the implementation of the practices considered would be cost efficient compared to non-agricultural mitigation measures While calculations at farm-scale are difficult, agricultural systems and proportion of land that could be made available to SOC management schemes, there is a perceived positive cost-benefit to C preservation and mitigation measures. Return for grasslands where sequestration and preservation rates are higher would clearly be greater. A cost benefit calculated with the CAPRI (FT) model. Indicated no loss in agricultural income from a 5% conversion to grassland with in turn resulted in a value of the CO2 sequestered in the soil as €20.98 t-1 CO2. Comprehensive data on the impact of the implementation of the measures on production and the market are difficult to define as these macro-scale models do not consider the technical details associated with the specific measures that need to be applied to sequester SOC. However, the studies tend to indicate that that impacts on production could occur but these would be of low magnitude and regionally variable. From an economic perspective, the financial implications of the grassland scenario implemented in CAPRI (FT) model, it can be stated that the CAP premium implications are negligible. This is derived from the fact that as most of the direct payments premiums are now decoupled from production the change in the land use derived from the scenario setting is not affecting the total amount of the direct payments. From a policy perspective, it is important that existing good stewardship of land for maintaining existing SOC stocks should be recognised as a premium in comparison to simply sequestration of OC. Such an approach would be an incentive not to engage in conversion of organic-rich soils to other uses which could lead to a decrease in SOC stocks.JRC.H.5-Land Resources Managemen