Articles | Volume 20, issue 18
https://doi.org/10.5194/bg-20-3827-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-20-3827-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
21 Sep 2023
Research article |
| 21 Sep 2023
| 21 Sep 2023
A new method for estimating carbon dioxide emissions from drained peatland forest soils for the greenhouse gas inventory of Finland
Natural Resources Institute Finland (Luke), Joensuu, Finland
Antti Wall
Natural Resources Institute Finland (Luke), Kokkola, Finland
Jukka-Pekka Myllykangas
Natural Resources Institute Finland (Luke), Helsinki, Finland
Paavo Ojanen
Natural Resources Institute Finland (Luke), Helsinki, Finland
Juha Heikkinen
Natural Resources Institute Finland (Luke), Helsinki, Finland
Helena M. Henttonen
Natural Resources Institute Finland (Luke), Helsinki, Finland
Raija Laiho
Natural Resources Institute Finland (Luke), Helsinki, Finland
Kari Minkkinen
Department of Forest Sciences, University of Helsinki, Helsinki,
Finland
Tarja Tuomainen
Natural Resources Institute Finland (Luke), Helsinki, Finland
Juha Mikola
CORRESPONDING AUTHOR
Natural Resources Institute Finland (Luke), Helsinki, Finland
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It is known that Earth system models have challenges to predict correct levels of soil carbon stocks. Quantification of those stocks is a prerequisite for reliable prediction of future carbon exchange between biosphere and atmosphere. Here, we tested Yasso07 and ROMULv soil carbon models against empirical data from Finland. We found that both the role of understorey vegetation and the impact of drought to decomposition should be incorporated into soil models to have realistic soil carbon stocks.
F. Minunno, M. Peltoniemi, S. Launiainen, M. Aurela, A. Lindroth, A. Lohila, I. Mammarella, K. Minkkinen, and A. Mäkelä
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Revised manuscript not accepted
B. Tupek, K. Minkkinen, J. Pumpanen, T. Vesala, and E. Nikinmaa
Biogeosciences, 12, 281–297, https://doi.org/10.5194/bg-12-281-2015, https://doi.org/10.5194/bg-12-281-2015, 2015
T. Leppelt, R. Dechow, S. Gebbert, A. Freibauer, A. Lohila, J. Augustin, M. Drösler, S. Fiedler, S. Glatzel, H. Höper, J. Järveoja, P. E. Lærke, M. Maljanen, Ü. Mander, P. Mäkiranta, K. Minkkinen, P. Ojanen, K. Regina, and M. Strömgren
Biogeosciences, 11, 6595–6612, https://doi.org/10.5194/bg-11-6595-2014, https://doi.org/10.5194/bg-11-6595-2014, 2014
M. Koskinen, K. Minkkinen, P. Ojanen, M. Kämäräinen, T. Laurila, and A. Lohila
Biogeosciences, 11, 347–363, https://doi.org/10.5194/bg-11-347-2014, https://doi.org/10.5194/bg-11-347-2014, 2014
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We used an ecosystem model to simulate primary production of a tropical forest subjected to 3 years of nutrient fertilization. Simulations parameterized such that relative allocation to fine roots increased with increasing soil phosphorus had leaf, wood, and fine root production consistent with observations. However, these simulations seemed to over-allocate to fine roots on multidecadal timescales, affecting aboveground biomass. Additional observations across timescales would benefit models.
Stephen Björn Wirth, Arne Poyda, Friedhelm Taube, Britta Tietjen, Christoph Müller, Kirsten Thonicke, Anja Linstädter, Kai Behn, Sibyll Schaphoff, Werner von Bloh, and Susanne Rolinski
Biogeosciences, 21, 381–410, https://doi.org/10.5194/bg-21-381-2024, https://doi.org/10.5194/bg-21-381-2024, 2024
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In dynamic global vegetation models (DGVMs), the role of functional diversity in forage supply and soil organic carbon storage of grasslands is not explicitly taken into account. We introduced functional diversity into the Lund Potsdam Jena managed Land (LPJmL) DGVM using CSR theory. The new model reproduced well-known trade-offs between plant traits and can be used to quantify the role of functional diversity in climate change mitigation using different functional diversity scenarios.
Joe R. McNorton and Francesca Di Giuseppe
Biogeosciences, 21, 279–300, https://doi.org/10.5194/bg-21-279-2024, https://doi.org/10.5194/bg-21-279-2024, 2024
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Wildfires have wide-ranging consequences for local communities, air quality and ecosystems. Vegetation amount and moisture state are key components to forecast wildfires. We developed a combined model and satellite framework to characterise vegetation, including the type of fuel, whether it is alive or dead, and its moisture content. The daily data is at high resolution globally (~9 km). Our characteristics correlate with active fire data and can inform fire danger and spread modelling efforts.
Brooke A. Eastman, William R. Wieder, Melannie D. Hartman, Edward R. Brzostek, and William T. Peterjohn
Biogeosciences, 21, 201–221, https://doi.org/10.5194/bg-21-201-2024, https://doi.org/10.5194/bg-21-201-2024, 2024
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We compared soil model performance to data from a long-term nitrogen addition experiment in a forested ecosystem. We found that in order for soil carbon models to accurately predict future forest carbon sequestration, two key processes must respond dynamically to nitrogen availability: (1) plant allocation of carbon to wood versus roots and (2) rates of soil organic matter decomposition. Long-term experiments can help improve our predictions of the land carbon sink and its climate impact.
Jan De Pue, Sebastian Wieneke, Ana Bastos, José Miguel Barrios, Liyang Liu, Philippe Ciais, Alirio Arboleda, Rafiq Hamdi, Maral Maleki, Fabienne Maignan, Françoise Gellens-Meulenberghs, Ivan Janssens, and Manuela Balzarolo
Biogeosciences, 20, 4795–4818, https://doi.org/10.5194/bg-20-4795-2023, https://doi.org/10.5194/bg-20-4795-2023, 2023
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The gross primary production (GPP) of the terrestrial biosphere is a key source of variability in the global carbon cycle. To estimate this flux, models can rely on remote sensing data (RS-driven), meteorological data (meteo-driven) or a combination of both (hybrid). An intercomparison of 11 models demonstrated that RS-driven models lack the sensitivity to short-term anomalies. Conversely, the simulation of soil moisture dynamics and stress response remains a challenge in meteo-driven models.
Chad A. Burton, Luigi J. Renzullo, Sami W. Rifai, and Albert I. J. M. Van Dijk
Biogeosciences, 20, 4109–4134, https://doi.org/10.5194/bg-20-4109-2023, https://doi.org/10.5194/bg-20-4109-2023, 2023
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Australia's land-based ecosystems play a critical role in controlling the variability in the global land carbon sink. However, uncertainties in the methods used for quantifying carbon fluxes limit our understanding. We develop high-resolution estimates of Australia's land carbon fluxes using machine learning methods and find that Australia is, on average, a stronger carbon sink than previously thought and that the seasonal dynamics of the fluxes differ from those described by other methods.
Patrick Neri, Lianhong Gu, and Yang Song
Biogeosciences Discuss., https://doi.org/10.5194/bg-2023-163, https://doi.org/10.5194/bg-2023-163, 2023
Revised manuscript accepted for BG
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We made the first global-scale effort that modeled how plant functional types and habitat climatology regulated the temperature responses of the photosynthetic efficiency of adsorbed lights. We found that the more temperature-resilient plants were less temperature-tolerant and vice versa. Habitat climatology is more critical than plant types for regulating the temperature responses of plants with broad distributions or experiences of large temperature variability.
Yuan Yan, Anne Klosterhalfen, Fernando Moyano, Matthias Cuntz, Andrew C. Manning, and Alexander Knohl
Biogeosciences, 20, 4087–4107, https://doi.org/10.5194/bg-20-4087-2023, https://doi.org/10.5194/bg-20-4087-2023, 2023
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A better understanding of O2 fluxes, their exchange ratios with CO2 and their interrelations with environmental conditions would provide further insights into biogeochemical ecosystem processes. We, therefore, used the multilayer canopy model CANVEG to simulate and analyze the flux exchange for our forest study site for 2012–2016. Based on these simulations, we further successfully tested the application of various micrometeorological methods and the prospects of real O2 flux measurements.
Jie Zhang, Elisabeth Larsen Kolstad, Wenxin Zhang, Iris Vogeler, and Søren O. Petersen
Biogeosciences, 20, 3895–3917, https://doi.org/10.5194/bg-20-3895-2023, https://doi.org/10.5194/bg-20-3895-2023, 2023
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Manure application to agricultural land often results in large and variable N2O emissions. We propose a model with a parsimonious structure to investigate N transformations around such N2O hotspots. The model allows for new detailed insights into the interactions between transport and microbial activities regarding N2O emissions in heterogeneous soil environments. It highlights the importance of solute diffusion to N2O emissions from such hotspots which are often ignored by process-based models.
Tao Chen, Félicien Meunier, Marc Peaucelle, Guoping Tang, Ye Yuan, and Hans Verbeeck
Biogeosciences Discuss., https://doi.org/10.5194/bg-2023-140, https://doi.org/10.5194/bg-2023-140, 2023
Revised manuscript accepted for BG
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The Chinese subtropical forest ecosystems are an extremely important component of those global forest ecosystems and are hence crucial for the global carbon cycle and regional climate change. However, there is still a great uncertainty in the relationship between subtropical forest carbon sequestration and its drivers. Here, we provided the first quantitative estimates of the individual and interactive effects of different drivers on the GPP of various subtropical forest types in China.
Siqi Li, Bo Zhu, Xunhua Zheng, Pengcheng Hu, Shenghui Han, Jihui Fan, Tao Wang, Rui Wang, Kai Wang, Zhisheng Yao, Chunyan Liu, Wei Zhang, and Yong Li
Biogeosciences, 20, 3555–3572, https://doi.org/10.5194/bg-20-3555-2023, https://doi.org/10.5194/bg-20-3555-2023, 2023
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Physical soil erosion and particulate carbon, nitrogen and phosphorus loss modules were incorporated into the process-oriented hydro-biogeochemical model CNMM-DNDC to realize the accurate simulation of water-induced erosion and subsequent particulate nutrient losses at high spatiotemporal resolution.
Ivan Cornut, Nicolas Delpierre, Jean-Paul Laclau, Joannès Guillemot, Yann Nouvellon, Otavio Campoe, Jose Luiz Stape, Vitoria Fernanda Santos, and Guerric le Maire
Biogeosciences, 20, 3093–3117, https://doi.org/10.5194/bg-20-3093-2023, https://doi.org/10.5194/bg-20-3093-2023, 2023
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Potassium is an essential element for living organisms. Trees are dependent upon this element for certain functions that allow them to build their trunks using carbon dioxide. Using data from experiments in eucalypt plantations in Brazil and a simplified computer model of the plantations, we were able to investigate the effect that a lack of potassium can have on the production of wood. Understanding nutrient cycles is useful to understand the response of forests to environmental change.
Ivan Cornut, Guerric le Maire, Jean-Paul Laclau, Joannès Guillemot, Yann Nouvellon, and Nicolas Delpierre
Biogeosciences, 20, 3119–3135, https://doi.org/10.5194/bg-20-3119-2023, https://doi.org/10.5194/bg-20-3119-2023, 2023
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After simulating the effects of low levels of potassium on the canopy of trees and the uptake of carbon dioxide from the atmosphere by leaves in Part 1, here we tried to simulate the way the trees use the carbon they have acquired and the interaction with the potassium cycle in the tree. We show that the effect of low potassium on the efficiency of the trees in acquiring carbon is enough to explain why they produce less wood when they are in soils with low levels of potassium.
Xiaojuan Yang, Peter Thornton, Daniel Ricciuto, Yilong Wang, and Forrest Hoffman
Biogeosciences, 20, 2813–2836, https://doi.org/10.5194/bg-20-2813-2023, https://doi.org/10.5194/bg-20-2813-2023, 2023
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We evaluated the performance of a land surface model (ELMv1-CNP) that includes both nitrogen (N) and phosphorus (P) limitation on carbon cycle processes. We show that ELMv1-CNP produces realistic estimates of present-day carbon pools and fluxes. We show that global C sources and sinks are significantly affected by P limitation. Our study suggests that introduction of P limitation in land surface models is likely to have substantial consequences for projections of future carbon uptake.
Kevin R. Wilcox, Scott L. Collins, Alan K. Knapp, William Pockman, Zheng Shi, Melinda D. Smith, and Yiqi Luo
Biogeosciences, 20, 2707–2725, https://doi.org/10.5194/bg-20-2707-2023, https://doi.org/10.5194/bg-20-2707-2023, 2023
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The capacity for carbon storage (C capacity) is an attribute that determines how ecosystems store carbon in the future. Here, we employ novel data–model integration techniques to identify the carbon capacity of six grassland sites spanning the US Great Plains. Hot and dry sites had low C capacity due to less plant growth and high turnover of soil C, so they may be a C source in the future. Alternately, cooler and wetter ecosystems had high C capacity, so these systems may be a future C sink.
Ara Cho, Linda M. J. Kooijmans, Kukka-Maaria Kohonen, Richard Wehr, and Maarten C. Krol
Biogeosciences, 20, 2573–2594, https://doi.org/10.5194/bg-20-2573-2023, https://doi.org/10.5194/bg-20-2573-2023, 2023
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Carbonyl sulfide (COS) is a useful constraint for estimating photosynthesis. To simulate COS leaf flux better in the SiB4 model, we propose a novel temperature function for enzyme carbonic anhydrase (CA) activity and optimize conductances using observations. The optimal activity of CA occurs below 40 °C, and Ball–Woodrow–Berry parameters are slightly changed. These reduce/increase uptakes in the tropics/higher latitudes and contribute to resolving discrepancies in the COS global budget.
Yunyao Ma, Bettina Weber, Alexandra Kratz, José Raggio, Claudia Colesie, Maik Veste, Maaike Y. Bader, and Philipp Porada
Biogeosciences, 20, 2553–2572, https://doi.org/10.5194/bg-20-2553-2023, https://doi.org/10.5194/bg-20-2553-2023, 2023
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We found that the modelled annual carbon balance of biocrusts is strongly affected by both the environment (mostly air temperature and CO2 concentration) and physiology, such as temperature response of respiration. However, the relative impacts of these drivers vary across regions with different climates. Uncertainty in driving factors may lead to unrealistic carbon balance estimates, particularly in temperate climates, and may be explained by seasonal variation of physiology due to acclimation.
Alexander J. Norton, A. Anthony Bloom, Nicholas C. Parazoo, Paul A. Levine, Shuang Ma, Renato K. Braghiere, and T. Luke Smallman
Biogeosciences, 20, 2455–2484, https://doi.org/10.5194/bg-20-2455-2023, https://doi.org/10.5194/bg-20-2455-2023, 2023
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This study explores how the representation of leaf phenology affects our ability to predict changes to the carbon balance of land ecosystems. We calibrate a new leaf phenology model against a diverse range of observations at six forest sites, showing that it improves the predictive capability of the processes underlying the ecosystem carbon balance. We then show how changes in temperature and rainfall affect the ecosystem carbon balance with this new model.
Libo Wang, Vivek K. Arora, Paul Bartlett, Ed Chan, and Salvatore R. Curasi
Biogeosciences, 20, 2265–2282, https://doi.org/10.5194/bg-20-2265-2023, https://doi.org/10.5194/bg-20-2265-2023, 2023
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Plant functional types (PFTs) are groups of plant species used to represent vegetation distribution in land surface models. There are large uncertainties associated with existing methods for mapping land cover datasets to PFTs. This study demonstrates how fine-resolution tree cover fraction and land cover datasets can be used to inform the PFT mapping process and reduce the uncertainties. The proposed largely objective method makes it easier to implement new land cover products in models.
Jennifer A. Holm, David M. Medvigy, Benjamin Smith, Jeffrey S. Dukes, Claus Beier, Mikhail Mishurov, Xiangtao Xu, Jeremy W. Lichstein, Craig D. Allen, Klaus S. Larsen, Yiqi Luo, Cari Ficken, William T. Pockman, William R. L. Anderegg, and Anja Rammig
Biogeosciences, 20, 2117–2142, https://doi.org/10.5194/bg-20-2117-2023, https://doi.org/10.5194/bg-20-2117-2023, 2023
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Unprecedented climate extremes (UCEs) are expected to have dramatic impacts on ecosystems. We present a road map of how dynamic vegetation models can explore extreme drought and climate change and assess ecological processes to measure and reduce model uncertainties. The models predict strong nonlinear responses to UCEs. Due to different model representations, the models differ in magnitude and trajectory of forest loss. Therefore, we explore specific plant responses that reflect knowledge gaps.
Veronika Kronnäs, Klas Lucander, Giuliana Zanchi, Nadja Stadlinger, Salim Belyazid, and Cecilia Akselsson
Biogeosciences, 20, 1879–1899, https://doi.org/10.5194/bg-20-1879-2023, https://doi.org/10.5194/bg-20-1879-2023, 2023
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In a future climate, extreme droughts might become more common. Climate change and droughts can have negative effects on soil weathering and plant health.
In this study, climate change effects on weathering were studied on sites in Sweden using the model ForSAFE, a climate change scenario and an extreme drought scenario. The modelling shows that weathering is higher during summer and increases with global warming but that weathering during drought summers can become as low as winter weathering.
Agustín Sarquis and Carlos A. Sierra
Biogeosciences, 20, 1759–1771, https://doi.org/10.5194/bg-20-1759-2023, https://doi.org/10.5194/bg-20-1759-2023, 2023
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Although plant litter is chemically and physically heterogenous and undergoes multiple transformations, models that represent litter dynamics often ignore this complexity. We used a multi-model inference framework to include information content in litter decomposition datasets and studied the time it takes for litter to decompose as measured by the transit time. In arid lands, the median transit time of litter is about 3 years and has a negative correlation with mean annual temperature.
Qi Guan, Jing Tang, Lian Feng, Stefan Olin, and Guy Schurgers
Biogeosciences, 20, 1635–1648, https://doi.org/10.5194/bg-20-1635-2023, https://doi.org/10.5194/bg-20-1635-2023, 2023
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Understanding terrestrial sources of nitrogen is vital to examine lake eutrophication changes. Combining process-based ecosystem modeling and satellite observations, we found that land-leached nitrogen in the Yangtze Plain significantly increased from 1979 to 2018, and terrestrial nutrient sources were positively correlated with eutrophication trends observed in most lakes, demonstrating the necessity of sustainable nitrogen management to control eutrophication.
Vivek K. Arora, Christian Seiler, Libo Wang, and Sian Kou-Giesbrecht
Biogeosciences, 20, 1313–1355, https://doi.org/10.5194/bg-20-1313-2023, https://doi.org/10.5194/bg-20-1313-2023, 2023
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The behaviour of natural systems is now very often represented through mathematical models. These models represent our understanding of how nature works. Of course, nature does not care about our understanding. Since our understanding is not perfect, evaluating models is challenging, and there are uncertainties. This paper illustrates this uncertainty for land models and argues that evaluating models in light of the uncertainty in various components provides useful information.
Liyuan He, Jorge L. Mazza Rodrigues, Melanie A. Mayes, Chun-Ta Lai, David A. Lipson, and Xiaofeng Xu
Biogeosciences Discuss., https://doi.org/10.5194/bg-2023-15, https://doi.org/10.5194/bg-2023-15, 2023
Revised manuscript accepted for BG
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The microbial-explicit model – CLM-Microbe – was first applied to investigate the carbon cycle in terrestrial ecosystems. The simulated carbon storages and fluxes are consistent with previous estimates. The bacterial and fungal biomass carbon showed increasing trends from 1901 to 2016, with large spatial variations. The long-term global estimation of microbial dynamics provides a quantitive understanding of microbial contributions to the global carbon cycle.
Benjamin S. Felzer
Biogeosciences, 20, 573–587, https://doi.org/10.5194/bg-20-573-2023, https://doi.org/10.5194/bg-20-573-2023, 2023
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The future of the terrestrial carbon sink depends upon the legacy of past land use, which determines the stand age of the forest and nutrient levels in the soil, both of which affect vegetation growth. This study uses a modeling approach to determine the effects of land-use legacy in the conterminous US from 1750 to 2099. Not accounting for land legacy results in a low carbon sink and high biomass, while water variables are not as highly affected.
Bailu Zhao and Qianlai Zhuang
Biogeosciences, 20, 251–270, https://doi.org/10.5194/bg-20-251-2023, https://doi.org/10.5194/bg-20-251-2023, 2023
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In this study, we use a process-based model to simulate the northern peatland's C dynamics in response to future climate change during 1990–2300. Northern peatlands are projected to be a C source under all climate scenarios except for the mildest one before 2100 and C sources under all scenarios afterwards.
We find northern peatlands are a C sink until pan-Arctic annual temperature reaches −2.09 to −2.89 °C. This study emphasizes the vulnerability of northern peatlands to climate change.
Lin Yu, Silvia Caldararu, Bernhard Ahrens, Thomas Wutzler, Marion Schrumpf, Julian Helfenstein, Chiara Pistocchi, and Sönke Zaehle
Biogeosciences, 20, 57–73, https://doi.org/10.5194/bg-20-57-2023, https://doi.org/10.5194/bg-20-57-2023, 2023
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In this study, we addressed a key weakness in current ecosystem models regarding the phosphorus exchange in the soil and developed a new scheme to describe this process. We showed that the new scheme improved the model performance for plant productivity, soil organic carbon, and soil phosphorus content at five beech forest sites in Germany. We claim that this new model could be used as a better tool to study ecosystems under future climate change, particularly phosphorus-limited systems.
Bimal K. Bhattacharya, Kaniska Mallick, Devansh Desai, Ganapati S. Bhat, Ross Morrison, Jamie R. Clevery, William Woodgate, Jason Beringer, Kerry Cawse-Nicholson, Siyan Ma, Joseph Verfaillie, and Dennis Baldocchi
Biogeosciences, 19, 5521–5551, https://doi.org/10.5194/bg-19-5521-2022, https://doi.org/10.5194/bg-19-5521-2022, 2022
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Evaporation retrieval in heterogeneous ecosystems is challenging due to empirical estimation of ground heat flux and complex parameterizations of conductances. We developed a parameter-sparse coupled ground heat flux-evaporation model and tested it across different limits of water stress and vegetation fraction in the Northern/Southern Hemisphere. The model performed particularly well in the savannas and showed good potential for evaporative stress monitoring from thermal infrared satellites.
Jie Zhang, Wenxin Zhang, Per-Erik Jansson, and Søren O. Petersen
Biogeosciences, 19, 4811–4832, https://doi.org/10.5194/bg-19-4811-2022, https://doi.org/10.5194/bg-19-4811-2022, 2022
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In this study, we relied on a properly controlled laboratory experiment to test the model’s capability of simulating the dominant microbial processes and the emissions of one greenhouse gas (nitrous oxide, N2O) from agricultural soils. This study reveals important processes and parameters that regulate N2O emissions in the investigated model framework and also suggests future steps of model development, which have implications on the broader communities of ecosystem modelers.
Jan De Pue, José Miguel Barrios, Liyang Liu, Philippe Ciais, Alirio Arboleda, Rafiq Hamdi, Manuela Balzarolo, Fabienne Maignan, and Françoise Gellens-Meulenberghs
Biogeosciences, 19, 4361–4386, https://doi.org/10.5194/bg-19-4361-2022, https://doi.org/10.5194/bg-19-4361-2022, 2022
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The functioning of ecosystems involves numerous biophysical processes which interact with each other. Land surface models (LSMs) are used to describe these processes and form an essential component of climate models. In this paper, we evaluate the performance of three LSMs and their interactions with soil moisture and vegetation. Though we found room for improvement in the simulation of soil moisture and drought stress, the main cause of errors was related to the simulated growth of vegetation.
Jarmo Mäkelä, Laura Arppe, Hannu Fritze, Jussi Heinonsalo, Kristiina Karhu, Jari Liski, Markku Oinonen, Petra Straková, and Toni Viskari
Biogeosciences, 19, 4305–4313, https://doi.org/10.5194/bg-19-4305-2022, https://doi.org/10.5194/bg-19-4305-2022, 2022
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Soils account for the largest share of carbon found in terrestrial ecosystems, and accurate depiction of soil carbon decomposition is essential in understanding how permanent these carbon storages are. We present a straightforward way to include carbon isotope concentrations into soil decomposition and carbon storages for the Yasso model, which enables the model to use 13C as a natural tracer to track changes in the underlying soil organic matter decomposition.
Vasileios Myrgiotis, Thomas Luke Smallman, and Mathew Williams
Biogeosciences, 19, 4147–4170, https://doi.org/10.5194/bg-19-4147-2022, https://doi.org/10.5194/bg-19-4147-2022, 2022
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This study shows that livestock grazing and grass cutting can determine whether a grassland is adding (source) or removing (sink) carbon (C) to/from the atmosphere. The annual C balance of 1855 managed grassland fields in Great Britain was quantified for 2017–2018 using process modelling and earth observation data. The examined fields were, on average, small C sinks, but the summer drought of 2018 led to a 9-fold increase in the number of fields that became C sources in 2018 compared to 2017.
J. Robert Logan, Kathe E. Todd-Brown, Kathryn M. Jacobson, Peter J. Jacobson, Roland Vogt, and Sarah E. Evans
Biogeosciences, 19, 4129–4146, https://doi.org/10.5194/bg-19-4129-2022, https://doi.org/10.5194/bg-19-4129-2022, 2022
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Understanding how plants decompose is important for understanding where the atmospheric CO2 they absorb ends up after they die. In forests, decomposition is controlled by rain but not in deserts. We performed a 2.5-year study in one of the driest places on earth (the Namib desert in southern Africa) and found that fog and dew, not rainfall, closely controlled how quickly plants decompose. We also created a model to help predict decomposition in drylands with lots of fog and/or dew.
Carlos A. Sierra, Verónika Ceballos-Núñez, Henrik Hartmann, David Herrera-Ramírez, and Holger Metzler
Biogeosciences, 19, 3727–3738, https://doi.org/10.5194/bg-19-3727-2022, https://doi.org/10.5194/bg-19-3727-2022, 2022
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Empirical work that estimates the age of respired CO2 from vegetation tissue shows that it may take from years to decades to respire previously produced photosynthates. However, many ecosystem models represent respiration processes in a form that cannot reproduce these observations. In this contribution, we attempt to provide compelling evidence, based on recent research, with the aim to promote a change in the predominant paradigm implemented in ecosystem models.
César Dionisio Jiménez-Rodríguez, Mauro Sulis, and Stanislaus Schymanski
Biogeosciences, 19, 3395–3423, https://doi.org/10.5194/bg-19-3395-2022, https://doi.org/10.5194/bg-19-3395-2022, 2022
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Vegetation relies on soil water reservoirs during dry periods. However, when this source is depleted, the plants may access water stored deeper in the rocks. This rock moisture contribution is usually omitted in large-scale models, which affects modeled plant water use during dry periods. Our study illustrates that including this additional source of water in the Community Land Model improves the model's ability to reproduce observed plant water use at seasonally dry sites.
Marco Carozzi, Raphaël Martin, Katja Klumpp, and Raia Silvia Massad
Biogeosciences, 19, 3021–3050, https://doi.org/10.5194/bg-19-3021-2022, https://doi.org/10.5194/bg-19-3021-2022, 2022
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Crop and grassland production indicates a strong reduction due to the shortening of the length of the growing cycle associated with rising temperatures. Greenhouse gas emissions will increase exponentially over the century, often exceeding the CO2 accumulation of agro-ecosystems. Water demand will double in the next few decades, whereas the benefits in terms of yield will not fill the gap of C losses due to climate perturbation. Climate change will have a regionally distributed effect in the EU.
Anthony Mucia, Bertrand Bonan, Clément Albergel, Yongjun Zheng, and Jean-Christophe Calvet
Biogeosciences, 19, 2557–2581, https://doi.org/10.5194/bg-19-2557-2022, https://doi.org/10.5194/bg-19-2557-2022, 2022
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For the first time, microwave vegetation optical depth data are assimilated in a land surface model in order to analyze leaf area index and root zone soil moisture. The advantage of microwave products is the higher observation frequency. A large variety of independent datasets are used to verify the added value of the assimilation. It is shown that the assimilation is able to improve the representation of soil moisture, vegetation conditions, and terrestrial water and carbon fluxes.
Camille Abadie, Fabienne Maignan, Marine Remaud, Jérôme Ogée, J. Elliott Campbell, Mary E. Whelan, Florian Kitz, Felix M. Spielmann, Georg Wohlfahrt, Richard Wehr, Wu Sun, Nina Raoult, Ulli Seibt, Didier Hauglustaine, Sinikka T. Lennartz, Sauveur Belviso, David Montagne, and Philippe Peylin
Biogeosciences, 19, 2427–2463, https://doi.org/10.5194/bg-19-2427-2022, https://doi.org/10.5194/bg-19-2427-2022, 2022
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A better constraint of the components of the carbonyl sulfide (COS) global budget is needed to exploit its potential as a proxy of gross primary productivity. In this study, we compare two representations of oxic soil COS fluxes, and we develop an approach to represent anoxic soil COS fluxes in a land surface model. We show the importance of atmospheric COS concentration variations on oxic soil COS fluxes and provide new estimates for oxic and anoxic soil contributions to the COS global budget.
Jianyong Ma, Sam S. Rabin, Peter Anthoni, Anita D. Bayer, Sylvia S. Nyawira, Stefan Olin, Longlong Xia, and Almut Arneth
Biogeosciences, 19, 2145–2169, https://doi.org/10.5194/bg-19-2145-2022, https://doi.org/10.5194/bg-19-2145-2022, 2022
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Improved agricultural management plays a vital role in protecting soils from degradation in eastern Africa. We simulated the impacts of seven management practices on soil carbon pools, nitrogen loss, and crop yield under different climate scenarios in this region. This study highlights the possibilities of conservation agriculture when targeting long-term environmental sustainability and food security in crop ecosystems, particularly for those with poor soil conditions in tropical climates.
Elisabeth Tschumi, Sebastian Lienert, Karin van der Wiel, Fortunat Joos, and Jakob Zscheischler
Biogeosciences, 19, 1979–1993, https://doi.org/10.5194/bg-19-1979-2022, https://doi.org/10.5194/bg-19-1979-2022, 2022
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Droughts and heatwaves are expected to occur more often in the future, but their effects on land vegetation and the carbon cycle are poorly understood. We use six climate scenarios with differing extreme occurrences and a vegetation model to analyse these effects. Tree coverage and associated plant productivity increase under a climate with no extremes. Frequent co-occurring droughts and heatwaves decrease plant productivity more than the combined effects of single droughts or heatwaves.
Stephanie G. Stettz, Nicholas C. Parazoo, A. Anthony Bloom, Peter D. Blanken, David R. Bowling, Sean P. Burns, Cédric Bacour, Fabienne Maignan, Brett Raczka, Alexander J. Norton, Ian Baker, Mathew Williams, Mingjie Shi, Yongguang Zhang, and Bo Qiu
Biogeosciences, 19, 541–558, https://doi.org/10.5194/bg-19-541-2022, https://doi.org/10.5194/bg-19-541-2022, 2022
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Uncertainty in the response of photosynthesis to temperature poses a major challenge to predicting the response of forests to climate change. In this paper, we study how photosynthesis in a mountainous evergreen forest is limited by temperature. This study highlights that cold temperature is a key factor that controls spring photosynthesis. Including the cold-temperature limitation in an ecosystem model improved its ability to simulate spring photosynthesis.
Eva Kanari, Lauric Cécillon, François Baudin, Hugues Clivot, Fabien Ferchaud, Sabine Houot, Florent Levavasseur, Bruno Mary, Laure Soucémarianadin, Claire Chenu, and Pierre Barré
Biogeosciences, 19, 375–387, https://doi.org/10.5194/bg-19-375-2022, https://doi.org/10.5194/bg-19-375-2022, 2022
Short summary
Short summary
Soil organic carbon (SOC) is crucial for climate regulation, soil quality, and food security. Predicting its evolution over the next decades is key for appropriate land management policies. However, SOC projections lack accuracy. Here we show for the first time that PARTYSOC, an approach combining thermal analysis and machine learning optimizes the accuracy of SOC model simulations at independent sites. This method can be applied at large scales, improving SOC projections on a continental scale.
Cited articles
Alm, J., Talanov, A., Saarnio, S., Silvola, J., Ikkonen, E., Aaltonen, H.,
Nykänen, H., and Martikainen, P.J.: Reconstruction of the carbon balance
for microsites in a boreal oligotrophic pine fen, Finland, Oecologia, 110,
423–431, 1997.
Alm, J., Schulman, L., Walden, J., Nykänen, H., Martikainen, P. J., and
Silvola, J.: Carbon balance of a boreal bog during a year with an
exceptionally dry summer, Ecology, 80, 161–174, 1999.
Alm, J., Wall, A., Myllykangas, J.-P., Ojanen, P., Heikkinen, J., Henttonen, H. M., Laiho, R., Minkkinen, K., Tuomainen, T., and Mikola, J.: Data and R-scripts for estimating carbon dioxide emissions from drained peatland forest soils for the greenhouse gas inventory of Finland (1.0), Zenodo [code, data set], https://doi.org/10.5281/zenodo.8354397, 2023.
Bjarnadottir, B., Sungur, G. A., Sigurdsson, B. D., Kjartansson, B. T.,
Oskarsson, H., Oddsdottir, E. S., Gunnarsdottir, G. E., and Black, A.: Carbon
and water balance of an afforested shallow peatland in Iceland, Forest
Ecol. Manag., 482, 118861,
https://doi.org/10.1016/j.foreco.2020.118861, 2021.
Bradford, M. A.: Thermal adaptation of decomposer communities in warming
soils, Front. Microbiol., 4, 333, https://doi.org/10.3389/fmicb.2013.00333, 2013.
Bradford, M. A., Davies, C. A., Frey, S. D., Maddox, T. R., Melillo, J. M.,
Mohan, J. E., Reynolds, J. F., Treseder, K. K., and Wallenstein, M. D.:
Thermal adaptation of soil microbial respiration to elevated temperature,
Ecol. Lett., 11, 1316–1327, 2008.
Brown, P., Cardenas, L., Choudrie, S., Del Vento, S., Richmond, B.,
Karagianni, E., MacCarthy, J., Mullen, P., Passant, N., B., Smith, H.,
Thistlethwaite, G., Thomson, A., Turtle, L., and Wakeling, D.: UK Greenhouse
Gas Inventory, 1990 to 2019: Annual Report for submission under the
Framework Convention on Climate Change, Ricardo Energ. Environ., UK NIR 2021, 655 pp., ISBN 978-0-9933975-7-8,
2021.
Cajander, A. K.: Studien über die Moore Finnlands, Acta Forestalia
Fennica, 2, 7530, https://doi.org/10.14214/aff.7530, 1913.
Davidson, E. A. and Janssens, I. A.: Temperature sensitivity of soil carbon
decomposition and feedbacks to climate change, Nature, 440, 165–173,
https://doi.org/10.1038/nature04514, 2006.
Duffy, P., Black, K., Fahey, D., Hyde, B., Kehoe, A., Murphy, J., Quirke,
B., Ryan, A. M., and Ponzi, J.: Ireland National Inventory Report,
Greenhouse gas emissions 1990–2019 reported to the United Nations Framework
Convention on Climate Change, Environmental Protection Aency, 476 pp., ISBN 978-1-84095-975-8, 2021.
Eurola, S.: Über die regionale Einteilung der südfinnischen Moore,
Ann. Botan. Soc.-Vanamo, 33, 1–243, 1962.
FAO: Global Forest Resources Assessment 2020, Terms and Definitions, FRA
2020, Forest Resources Assessment Working Paper 188, Food and Agriculture
Organization of the United Nations, Rome, https://www.fao.org/3/I8661EN/i8661en.pdf (last access: 23 August 2023), 2020.
Frey, C., Penman, J., Hanle, L., Monni, S., and Ogle, S.: Uncertainties, Chap.
3, in: 2006 IPCC Guidelines for National
Greenhouse Gas Inventories, edited by: Eggleston, H. S., Buendia, L., Miwa, K., Ngara, T., and Tanabe K., prepared by the National Greenhouse Gas Inventories Programme, The Intergovernmental Panel on Climate Change, IGES, Japan, ISBN 4-88788-032-4,
https://www.ipcc-nggip.iges.or.jp/public/2006gl/pdf/1_Volume1/V1_3_Ch3_Uncertainties.pdf (last access: 23 August 2013), 2006.
Haahti, K., Warsta, L., Kokkonen, T., Younis, B. A., and Koivusalo, H.:
Distributed hydrological modeling with channel network flow of a forestry
drained peatland site, Water Resour. Res., 52, 246–263, https://doi.org/10.1002/2015WR018038, 2016.
Havas, P.: Vagetation und Ökologie der ostfinnishen Hangmoore, Ann. Bot.
Soc.-Vanamo, 31, 1–188, 1961.
Helmisaari, H.-S., Derome, J., Nöjd, P., and Kukkola, M.: Fine root
biomass in relation to site and stand characteristics in Norway spruce and
Scots pine stands, Tree Physiol., 27, 1493–1504, 2007.
Hökkä, H., Laurén, A., Stenberg, L., Launiainen, S., Leppä,
K., and Nieminen, M.: Defining guidelines for ditch depth in drained Scots
pine dominated peatland forests, Silva Fenn., 55, 10494,
https://doi.org/10.14214/sf.10494, 2021.
IPCC: 2006 IPCC Guidelines for National Greenhouse Gas Inventories, prepared
by the National Greenhouse Gas Inventories Programme, edited by: Eggleston, H. S.,
Buendia, L., Miwa, K., Ngara, T., and Tanabe K., IGES, Japan, Intergovernmenbtal Panel on Climate Change, ISBN 4-88788-032-4, 2006.
IPCC: 2013 Supplement to the 2006 IPCC Guidelines for National Greenhouse
Gas Inventories, Wetlands International, edited by: Hiraishi, T., Krug, T., Tanabe, K., Srivastava,
N., Baasansuren, J., Fukuda, M., and Troxler, T. G., IPCC, Switzerland, ISBN 978-92-9169-139-5,
2014.
Jauhiainen, J., Alm, J., Bjarnadottir, B., Callesen, I., Christiansen, J. R., Clarke, N., Dalsgaard, L., He, H., Jordan, S., Kazanavičiūtė, V., Klemedtsson, L., Lauren, A., Lazdins, A., Lehtonen, A., Lohila, A., Lupikis, A., Mander, Ü., Minkkinen, K., Kasimir, Å., Olsson, M., Ojanen, P., Óskarsson, H., Sigurdsson, B. D., Søgaard, G., Soosaar, K., Vesterdal, L., and Laiho, R.: Reviews and syntheses: Greenhouse gas exchange data from drained organic forest soils – a review of current approaches and recommendations for future research, Biogeosciences, 16, 4687–4703, https://doi.org/10.5194/bg-16-4687-2019, 2019.
Joosten, H: The Global Peatland CO2 Picture. Peatland status and
emissions in all countries of the World, Ede, Wetlands International, 10 pp.,
2010.
Kalbfleisch, J. D. and Prentice, R. L.: The statistical analysis of failure
time data, Wiley, ISBN 9780471363576, 2002.
Kaplan, E.L., and Meier, P.: Nonparametric estimation from incomplete
observations, J. Am. Stat. Assoc., 53, 457–481, 1958.
Korhonen, K. T., Ahola, A., Heikkinen, J., Henttonen, H. M., Hotanen, J.-P.,
Ihalainen, A., Melin, M., Pitkänen, J., Räty, M., Sirviö, M.,
and Strandström, M: Forests of Finland 2014–2018 and their development
1921–2018, Silva Fenn., 55, 10662,
https://doi.org/10.14214/sf.10662, 2021.
Korkiakoski, M., Ojanen, P., Tuovinen J.-P., Minkkinen, K., Nevalainen, O.,
Aurela, M., Laurila, T., and Lohila, A.: Partial cutting of boreal
nutrient-rich peatland forest causes radically less short-term CO2 emissions
than clear-cutting, Agr. Forest Meteorol., 334, 109361, https://doi.org/10.1016/j.agrformet.2023.109361, 2023.
Kätterer, T., Reichstein, M., Andrén, O., and Lomander, A.:
Temperature dependence of organic matter decomposition: a critical review
using literature data analyzed with different models, Biol. Fertil. Soils,
27, 258–262, 1998.
Laiho, R., Vasander, H., Penttilä, T., and Laine, J.: Dynamics of
plant-mediated organic matter and nutrient cycling following water-level
drawdown in boreal peatlands, Global Biogeochem. Cy., 17, 1053,
https://doi.org/10.1029/2002GB002015, 2003.
Laine, J.: Metsäojitettujen soiden luokittelu (Classification of
peatlands drained for forestry), Suo, 40, 37–51, 1989.
Laine, J. K., Vasander, H., Hotanen, J-P., Saarinen, M., and Penttilä,
T.: Suotyypit ja turvekankaat – opas kasvupaikkojen tunnistamiseen (in
Finnish), Metsäkustannus, Hämeenlinna, 160 pp., ISBN 978-952-5694-89-5, 2012.
Laurén, A., Palviainen, M., Launiainen, S., Leppä, K., Stenberg, L.,
Urzainki, I., Nieminen, M., Laiho, R., and Hökkä, H.: Drainage and
stand growth response in peatland forests – description, testing, and
application of mechanistic peatland simulator SUSI, Forests, 12, 293,
https://doi.org/10.3390/f12030293, 2021.
Lehtonen, A., Sievänen, R., Mäkelä, A., Mäkipää, R.,
Korhonen, K. T., and Hokkanen, T.: Potential litterfall of Scots pine
branches in southern Finland, Ecol. Modell., 180, 305–315, 2004.
Lehtonen, A. and Heikkinen, J.: Uncertainty of upland soil carbon sink
estimate for Finland, Can. J. Forest Res., 46, 310–322, 2016.
Leppä, K., Korkiakoski, M., Nieminen, M., Laiho, R., Hotanen, J.-P.,
Kieloaho, A.-J., Korpela, L., Laurila, T., Lohila, A., Minkkinen, K.,
Mäkipää, R., Ojanen, P., Pearson, M., Penttilä, T.,
Tuovinen, J.-P., and Launiainen, S.: Vegetation controls of water and energy
balance of a drained peatland forest: responses to alternative harvesting
practices, Agr. Forest Meteorol., 295, 108198,
https://doi.org/10.1016/j.agrformet.2020.108198, 2020.
Liski, J., Lehtonen, A., Palosuo, T., Peltoniemi, M., Eggers, T., Muukkonen,
P., and Mäkipää, R.: Carbon accumulation in Finland's forests
1922–2004 – an estimate obtained by combination of forest inventory data
with modelling of biomass, litter and soil, Ann. Forest Sci., 63, 687–697,
https://doi.org/10.1051/forest:2006049, 2006.
Lukac, M.: Fine root turnover, in: Measuring Roots – An
Updated Approach, edited by: Mancuso, S., Springer, 363–373, ISBN 9783642220661, 2012.
LUKE Statistics:
https://www.luke.fi/en/statistics/total-roundwood-removals-and-drain (last access: 23 August 2023), 2022.
Lupikis, A. and Lazdins, A.: Soil carbon stock changes in transitional mire
drained for forestry in Latvia: A case study, Research for Rural
Development, 1, 55–61, https://doi.org/10.22616/rrd.23.2017.008, 2017.
Mäkiranta, P., Riutta, T., Penttilä, T., and Minkkinen, K.: Dynamics
of net ecosystem CO2 exchange and heterotrophic soil respiration
following clearfelling in a drained peatland forest, Agr. Forest Meteorol.,
150, 1585–159, 2010.
Marklund, L. G.: Biomass functions for Norway spruce (Picea abies (L.)
Karst.) in Sweden, Dissertation, Swedish Agricultural University, Umeå,
Report 123, ISBN
9789157632074, 1987.
Marklund, L. G.: Biomass Functions for Pine, Spruce and Birch in Sweden,
Swedish Agricultural University, Dept. of Forest Surv., Report, 45–73, 1988.
Meyer, A., Tarvainen, L., Nousratpour, A., Björk, R. G., Ernfors, M., Grelle, A., Kasimir Klemedtsson, Å., Lindroth, A., Räntfors, M., Rütting, T., Wallin, G., Weslien, P., and Klemedtsson, L.: A fertile peatland forest does not constitute a major greenhouse gas sink, Biogeosciences, 10, 7739–7758, https://doi.org/10.5194/bg-10-7739-2013, 2013.
Meyer, N., Welp, G., and Amelung, W.: The temperature sensitivity (Q10) of
soil respiration: controlling factors and spatial prediction at regional
scale based on environmental soil classes, Global Biogeochem. Cy., 32,
306–323, 2018.
Minkkinen, K., Vasander, H., Jauhiainen, S., Karsisto, M., and Laine, J.:
Post-drainage changes in vegetation composition and carbon balance in
Lakkasuo mire, Central Finland, Plant Soil, 207, 107–120, 1999.
Minkkinen, K., Korhonen, R., Savolainen, I., and Laine, J.: Carbon balance
and radiative forcing of Finnish peatlands 1900–2100 – the impact of
forestry drainage, Glob. Change Biol., 8, 785–799, 2002.
Minkkinen, K., Laine, J., Shurpali, N., Mäkiranta, P., Alm, J., and
Penttilä, T.: Heterotrophic soil respiration in forestry drained
peatlands, Boreal Environ. Res., 12, 115–126, 2007.
Minkkinen, K., Ojanen, P., Penttilä, T., Aurela, M., Laurila, T., Tuovinen, J.-P., and Lohila, A.: Persistent carbon sink at a boreal drained bog forest, Biogeosciences, 15, 3603–3624, https://doi.org/10.5194/bg-15-3603-2018, 2018.
Muukkonen, P. and Lehtonen, A.:
Needle and branch biomass turnover rates of Norway spruce (Picea abies), Can. J. Forest
Res., 34, 2517–2527, 2004.
Nieminen, M., Sarkkola, S., Sallantaus, T., Hasselquist, E. M., and Laudon,
H.: Peatland drainage – a missing link behind increasing TOC concentrations
in waters from high latitude forest catchments?, Sci. Total Environ., 774,
145150, https://doi.org/10.1016/j.scitotenv.2021.145150, 2021.
Nykänen, H., Alm, J., Silvola, J., Tolonen, K., and Martikainen, P. J.:
Methane fluxes on boreal peatlands of different fertility and the effect of
long-term experimental lowering of the water table on flux rates, Global
Biogeochem. Cy., 12, 53–69, 1998.
Ojanen, P., Minkkinen, K., Alm, J., and Penttilä, P.: Soil–atmosphere
CO2, CH4 and N2O fluxes in boreal forestry-drained peatlands,
Forest Ecol. Manag., 260, 411–421, 2010.
Ojanen, P., Minkkinen, K., Lohila, A., Badorek, T., and Penttilä, T.:
Chamber measured soil respiration: a useful tool for estimating the carbon
balance of peatland forest soils?, Forest Ecol. Manag., 277, 132–140,
https://doi.org/10.1016/j.foreco.2012.04.027, 2012.
Ojanen, P., Minkkinen, K., and Penttilä, P.: The current greenhouse gas
impact of forestry-drained boreal peatlands, Forest Ecol. Manag., 289,
201–208, 2013.
Ojanen, P., Lehtonen, A., Heikkinen, J., Penttilä, T., and Minkkinen,
K.: Soil CO2 balance and its uncertainty in forestry drained peatlands
in Finland, Forest Ecol. Manag., 325, 60–73, 2014.
Petersson, H. and Ståhl, G.: Functions for below-ground biomass of
Pinus sylvestris, Picea abies, Betula pendula and Betula pubescens in Sweden, Scand. J. Forest Res., 21, 84–93,
https://doi.org/10.1080/14004080500486864, 2006.
Päivänen, J. and Hånell, B.: Peatland ecology and forestry – a
sound approach, Helsingin yliopiston metsätieteiden laitoksen
julkaisuja, Vol. 3, University of Helsinki, Department of Forest Sciences,
267 pp., ISBN 978-952-10-4531-8, 2012.
R Core Team: R: A language and environment for statistical computing, R
Foundation for Statistical Computing, Vienna, Austria, URL
https://www.R-project.org (last access: 25 August 2023), 2020.
Repola, J.: Biomass equations for birch in Finland, Silva Fenn., 42, 605–624,
https://doi.org/10.14214/sf.236, 2008.
Repola, J.: Biomass equations for Scots pine and Norway spruce in Finland,
Silva Fenn., 43, 625–647, https://doi.org/10.14214/sf.184, 2009.
Ruuhijärvi, R.: Über die regionale Einteilung der nordfinnischen
Moore, Ann. Botanici Soc.-Vanamo, 31,
1–360, 1960.
Ruyssenaars, P. G., Coenen, P. W. H. G., Zijlema, P. J., Arets, E. J. M. M., Baas, K., Dröge, R., Geilenkirchen, G., 't Hoen, M., Honig, E., van Huet, B., van Huis, E. P., Koch, W. W. R., te Molder, R., Montfoort, J. A., van der Zee, T., and van Zanten, M. C.: Greenhouse gas emissions in the Netherlands 1990–2019, National Inventory Report 2021. National Institute for Public Health and the Environment (RIVM), https://doi.org/10.21945/RIVM-2021-0007, 2021.
Sarkkola, S., Hokka, H., Koivusalo, H., Nieminen, M., Ahti, E., Paivanen,
J., and Laine, J.: Role of tree stand evapotranspiration in maintaining
satisfactory drainage conditions in drained peatlands, Can. J. Forest Res. 40,
1485–1496, 2010.
Strand, A. E., Pritchard, S. G., McCormack, M. L., Davis, M. A., and Oren, R.: Irreconcilable
differences: fine-root life spans and soil carbon persistence, Science,
319, 456–458, https://doi.org/10.1126/science.1151382, 2008.
Silvola, J., Alm, J., Ahlholm, U., Nykänen, H., and Martikainen, P. J.:
CO2 fluxes from peat in boreal mires under varying temperature and
moisture conditions, J. Ecol., 84, 219–228, 1996.
Simola, H., Pitkänen, A., and Turunen, J.: Carbon loss in drained forestry
peatlands in Finland, estimated by re-sampling peatlands surveyed in the
1980s, Eur. J. Soil Sci., 63, 798–807, https://doi.org/10.1111/j.1365-2389.2012.01499.x, 2012.
Starr, M., Saarsalmi, A., Hokkanen, T., Merilä, P., and Helmisaari, H.-S.:
Models of litterfall production for Scots pine (Pinus sylvestris L.) in Finland using stand,
site and climate factors, Forest Ecol. Manag., 205, 215–225, 2005.
Statistics Finland: Greenhouse gas emissions in Finland 1990 to 2020,
National Inventory Report under the UNFCCC and the Kyoto Protocol,
Submission to the European Union,
https://unfccc.int/documents/461893 (last access: 25 August 2023), 2022.
Straková, P., Penttilä, T., Laine, J., and Laiho, R.: Disentangling
direct and indirect effects of water table drawdown on above- and
belowground plant litter decomposition: Consequences for accumulation of
organic matter in boreal peatlands, Glob. Change Biol., 18, 322–335,
https://doi.org/10.1111/j.1365-2486.2011.02503.x, 2012.
Tomppo, E., Heikkinen, J., Henttonen, H. M., Ihalainen, A., Katila, M.,
Mäkelä, H., Tuomainen, T., and Vaininkainen, N.: Designing and
Conducting a Forest Inventory – case: 9th National Forest Inventory of
Finland, Springer, Manag. For. Ecosyst., 21, ISBN 9400716516, 2011.
Tuomi, M., Thum, T., Järvinen, H., Fronzek, S., Berg, B., Harmon, M.,
Trofymow, J. A., Sevanto, S., and Liski, J.: Leaf litter decomposition –
Estimates of global variability based on Yasso07 model, Ecol. Modell., 220, 3362–3371, 2009.
Tuomi, M., Laiho, R., Repo, A., and Liski, J.: Wood decomposition model for
boreal forests, Ecol. Modell., 222, 709–718, 2011.
Uri, V., Kukumägi, M., Aosaar, J., Varik, M., Becker, H., Morozov, G.,
and Karoles, K.: Ecosystems carbon budgets of differently aged downy birch
stands growing on well-drained peatlands, Forest Ecol. Manag., 399, 82–93,
https://doi.org/10.1016/j.foreco.2017.05.023, 2017.
Vávřová, P., Laiho, R., and Penttilä, T.: Decomposition of
Scots pine fine woody debris in boreal conditions: Implications for
estimating carbon pools and fluxes, Forest Ecol. Manag., 257, 401–412,
https://doi.org/10.1016/j.foreco.2008.09.017, 2009.
Venäläinen, A., Tuomenvirta, H., Pirinen, P., and Drebs, A.: A basic
Finnish climate data set 1961–2000 – description and illustrations, Finn.
Met. Inst., Reports 2005, 1–27, ISBN 951-697-615-8, 2005.
Short summary
In Finland peatlands cover one-third of land area. For half of those, with 4.3 Mha being drained for forestry, Finland reports sinks and sources of greenhouse gases in forest lands on organic soils following its UNFCCC commitment. We describe a new method for compiling soil CO2 balance that follows changes in tree volume, tree harvests and temperature. An increasing trend of emissions from 1.4 to 7.9 Mt CO2 was calculated for drained peatland forest soils in Finland for 1990–2021.
In Finland peatlands cover one-third of land area. For half of those, with 4.3 Mha being drained...
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