Comparison of carbon estimation methods for European forests

Neumann, Mathias; Moreno, Adam; Mues, Volker; Härkönen, Sauli; Mura, Matteo; Bouriaud, Olivier; Lang, Mait; Achten, Wouter; Thivolle-Cazat, Alain; Bronisz, Karol; Merganič, Ján; Decuyper, Mathieu; Alberdi, Iciar; Astrup, Rasmus; Mohren, Frits; Hasenauer, Hubert

doi:10.1016/j.foreco.2015.11.016

Cited by 115 publications

(103 citation statements)

References 67 publications

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“…The impact of the applied equations on the biomass estimates has been pointed out by several studies, e.g. Neumann et al (2016). Thus, we assume that the accuracy of the results can be higher if the above-mentioned volume equations derived from large samples collected at the investigated territory together with the available data from NFI (e.g.…”

Section: Discussionmentioning

confidence: 91%

Country and regional carbon stock in forest cover – estimates based on the first cycle of the Czech National Forest Inventory data (2001–2004)

Merganič

Merganičová

Konôpka

et al. 2017

Central European Forestry Journal

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Since forests can play an efficient role in the mitigation of greenhouse gas emissions, objective information about the actual carbon stock is very important. Therefore, the presented paper analysed the carbon stock in the living merchantable trees (with diameter at breast height above 7 cm) of the Czech forests with regard to groups of tree species and tree compartments (wood under bark with diameter above 7 cm, wood under bark with diameter below 7 cm, bark, green twigs, foliage, stump and roots). We examined its regional distribution and relationship to the number of inhabitants and the gross domestic product. The data used for the analysis originated from 13,929 forest plots of the first Czech National Forest Inventory performed between 2001 and 2004. The total tree carbon stock was obtained as a sum of the carbon stock in the individual tree compartments estimated from the biomass amount in the compartments multiplied by the relative carbon content. Wood biomass amount was calculated by multiplying a particular part of tree volume with species-specific green wood density. The total amount of carbon stored in forest trees in the Czech Republic was over 327 mill. t, which is about 113 t of carbon per ha of forests. The highest carbon amount (160 mill. t, i.e. 49.0% of the total amount) was fixed in spruce. The minimum carbon amount fixed in the forest cover (14.35 mill. t) was calculated for Ústecký kraj (region), while the maximum carbon amount (51.51 mill. t) was found in Jihočeský kraj.

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Section: Discussionmentioning

confidence: 91%

Country and regional carbon stock in forest cover – estimates based on the first cycle of the Czech National Forest Inventory data (2001–2004)

Merganič

Merganičová

Konôpka

et al. 2017

Central European Forestry Journal

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“…We thus have three NPP sources: two using the MOD17 algorithm with different daily climate data: (i) MODIS GLOB produced by the Numerical Terradynamic Simulation Group (NTSG) at University of Montana and (ii) MODIS EURO by running the original MOD17 algorithm and the latest BPLUTs parametrized by [9] with downscaled daily climate data from Europe [25] as well as (iii) Terrestrial NFI NPP using forest inventory data from the 12 countries (Table S1) and local carbon estimation methods [32].…”

Section: Analysis Of Npp Resultsmentioning

confidence: 99%

“…We grouped our 12 countries in four geographic regions, North Europe, Central-West Europe, Central-East Europe and South Europe [7], to address the large environmental, elevational and climatic gradients in Europe. Countries within a region should have similar climatic and edaphic conditions as well as similar tree allometries and allocation patterns [32]. The original locations of the inventory plots were falsified to the nearest pixel of the MODIS grid to guarantee the locations of the plots remain unknown.…”

Section: Terrestrial Nfi Nppmentioning

confidence: 99%

“…The tree carbon results for determining carbon increment CARB INC (Equation (3)) were estimated using the carbon calculation method applied by the local forest inventory organization and compiled in [32]. Local biomass functions and biomass expansion factors were used to derive tree biomass and carbon fractions to convert biomass into carbon.…”

Section: Terrestrial Nfi Nppmentioning

confidence: 99%

“…Zooming in and examining the different NPP estimates by ecoregion and country allowed us to analyze our results on a higher spatial resolution and to assess local effects such as different regional growing conditions, the impact of local biomass allometries or tree species composition [32] as well as the potential effect of different forest management practices in Europe [7].…”

Section: Npp Estimates Across Different Scalesmentioning

confidence: 99%

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Creating a Regional MODIS Satellite-Driven Net Primary Production Dataset for European Forests

et al. 2016

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Net primary production (NPP) is an important ecological metric for studying forest ecosystems and their carbon sequestration, for assessing the potential supply of food or timber and quantifying the impacts of climate change on ecosystems. The global MODIS NPP dataset using the MOD17 algorithm provides valuable information for monitoring NPP at 1-km resolution. Since coarse-resolution global climate data are used, the global dataset may contain uncertainties for Europe. We used a 1-km daily gridded European climate data set with the MOD17 algorithm to create the regional NPP dataset MODIS EURO. For evaluation of this new dataset, we compare MODIS EURO with terrestrial driven NPP from analyzing and harmonizing forest inventory data (NFI) from 196,434 plots in 12 European countries as well as the global MODIS NPP dataset for the years 2000 to 2012. Comparing these three NPP datasets, we found that the global MODIS NPP dataset differs from NFI NPP by 26%, while MODIS EURO only differs by 7%. MODIS EURO also agrees with NFI NPP across scales (from continental, regional to country) and gradients (elevation, location, tree age, dominant species, etc.). The agreement is particularly good for elevation, dominant species or tree height. This suggests that using improved climate data allows the MOD17 algorithm to provide realistic NPP estimates for Europe. Local discrepancies between MODIS EURO and NFI NPP can be related to differences in stand density due to forest management and the national carbon estimation methods. With this study, we provide a consistent, temporally continuous and spatially explicit productivity dataset for the years 2000 to 2012 on a 1-km resolution, which can be used to assess climate change impacts on ecosystems or the potential biomass supply of the European forests for an increasing bio-based economy. MODIS EURO data are made freely available at ftp://palantir.boku.ac.at/Public/MODIS_EURO.

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Forest structures across Europe

Moreno

Neumann

Hasenauer

2017

Geoscience Data Journal

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The research leading to these results has received funding from the European Union Seventh Framework Programme under grant agreement n°311970Pan-European gridded datasets derived from a single methodology to inform researchers, policy makers and conservationists on the state of forest structures would improve our ability to study forests independent of political boundaries and along various gradients. Although National Forest Inventory (NFI) data provide information on the characteristics of forests, including carbon content, volume, height, and age, such spatial data is not available across Europe. Before this study, remotely sensed data covering all of Europe had not been utilized to produce multiple European-focused forest structure datasets over the entire continent that are methodologically consistent and comparable. We used existing European data to develop a pan-European dataset covering tons of live tree carbon and volume per hectare, mean tree height and mean tree age by integrating remotely sensed and harmonized NFI data from 13 different European countries. We produced a pan-European map for each of the four key variables on a 0.133°grid representing the time period 2000-2010.

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Comparison of carbon estimation methods for European forests

Cited by 115 publications

References 67 publications

Country and regional carbon stock in forest cover – estimates based on the first cycle of the Czech National Forest Inventory data (2001–2004)

Country and regional carbon stock in forest cover – estimates based on the first cycle of the Czech National Forest Inventory data (2001–2004)

Creating a Regional MODIS Satellite-Driven Net Primary Production Dataset for European Forests

Forest structures across Europe

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