IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v251y2013icp232-245.html
   My bibliography  Save this article

Carbon turnover in mixed stands: Modelling possible shifts under climate change

Author

Listed:
  • Shanin, Vladimir
  • Komarov, Alexander
  • Khoraskina, Yulia
  • Bykhovets, Sergey
  • Linkosalo, Tapio
  • Mäkipää, Raisa

Abstract

Adaptation of forest management to changing climate may lead to remarkable changes in tree species composition. Deciduous species are predicted to be favoured in a warmer climate, but the competitive capacity of different tree species requires detailed analysis. The main objectives of this study were to assess how varied initial proportions of tree species affected productivity in mixed stands, and to evaluate the biomass production and carbon sequestration potential of trees and soil in mixed stands in a changing climate. We used the individual-based simulation model EFIMOD combined with the model of soil organic matter dynamics ROMUL to simulate spatially explicit competition between trees for light and nutrients. We focused our simulations on the most common type of site (mesic site, Myrtillus type) in southern Finland. The average carbon and nitrogen pools in the forest floor and mineral soil were used as initial soil data. The ambient climate scenario was based on measured data (1961–2007) from the Finnish Meteorological Institute. Climate change scenarios were based on runs of three general circulation models. We simulated the forest stand dynamics of two- and three-species mixtures (Silver birch, Scots pine and Norway spruce) with different initial proportions. In mixed spruce–birch stands, spruce replaced birch whatever the initial density, regardless of climatic scenario. In the beginning of the development of mixed spruce–pine stands, pine grew faster and increased its proportion of biomass by 10–20%. In pine–birch stands, the dominant species maintained its dominating position, but the proportion of pine generally declined by the end of simulation in birch-dominated stands. In mixed stands of three tree species, spruce tended to dominate by the end of a 100-year simulation period, independently of the initial proportions. The highest average carbon stock in standing biomass was observed in mixed stands with three species and in spruce-dominated stands. Climate change increased stand productivity and the increase in coniferous stands was more remarkable than in birch-dominated stands. In addition, soil was affected by species composition: increased proportions of pine resulted in increasing carbon stocks in the forest floor. Climate change negatively affected accumulation of organic matter in soil, especially in the spruce-dominated stands.

Suggested Citation

  • Shanin, Vladimir & Komarov, Alexander & Khoraskina, Yulia & Bykhovets, Sergey & Linkosalo, Tapio & Mäkipää, Raisa, 2013. "Carbon turnover in mixed stands: Modelling possible shifts under climate change," Ecological Modelling, Elsevier, vol. 251(C), pages 232-245.
  • Handle: RePEc:eee:ecomod:v:251:y:2013:i:c:p:232-245
    DOI: 10.1016/j.ecolmodel.2012.12.015
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380012005959
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2012.12.015?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Mingkui Cao & F. Ian Woodward, 1998. "Dynamic responses of terrestrial ecosystem carbon cycling to global climate change," Nature, Nature, vol. 393(6682), pages 249-252, May.
    2. Shanin, Vladimir N. & Komarov, Alexander S. & Mikhailov, Alexey V. & Bykhovets, Sergei S., 2011. "Modelling carbon and nitrogen dynamics in forest ecosystems of Central Russia under different climate change scenarios and forest management regimes," Ecological Modelling, Elsevier, vol. 222(14), pages 2262-2275.
    3. Grabarnik, Pavel & Särkkä, Aila, 2009. "Modelling the spatial structure of forest stands by multivariate point processes with hierarchical interactions," Ecological Modelling, Elsevier, vol. 220(9), pages 1232-1240.
    4. R. B. Myneni & C. D. Keeling & C. J. Tucker & G. Asrar & R. R. Nemani, 1997. "Increased plant growth in the northern high latitudes from 1981 to 1991," Nature, Nature, vol. 386(6626), pages 698-702, April.
    5. Wilfried Thuiller, 2007. "Climate change and the ecologist," Nature, Nature, vol. 448(7153), pages 550-552, August.
    6. Michel Loreau & Andy Hector, 2001. "Partitioning selection and complementarity in biodiversity experiments," Nature, Nature, vol. 412(6842), pages 72-76, July.
    7. Karjalainen, Timo & Pussinen, Ari & Liski, Jari & Nabuurs, Gert-Jan & Eggers, Thies & Lapvetelainen, Tuija & Kaipainen, Terhi, 2003. "Scenario analysis of the impacts of forest management and climate change on the European forest sector carbon budget," Forest Policy and Economics, Elsevier, vol. 5(2), pages 141-155, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Laine-Kaulio, Hanne & Koivusalo, Harri & Komarov, Alexander S. & Lappalainen, Mari & Launiainen, Samuli & Laurén, Ari, 2014. "Extending the ROMUL model to simulate the dynamics of dissolved and sorbed C and N compounds in decomposing boreal mor," Ecological Modelling, Elsevier, vol. 272(C), pages 277-292.
    2. Alexandrov, G.A & Golitsyn, G.S., 2015. "Biological age from the viewpoint of the thermodynamic theory of ecological systems," Ecological Modelling, Elsevier, vol. 313(C), pages 103-108.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhang, Jiarui & Jørgensen, Sven E. & Lu, Jianjian & Nielsen, Søren N. & Wang, Qiang, 2014. "A model for the contribution of macrophyte-derived organic carbon in harvested tidal freshwater marshes to surrounding estuarine and oceanic ecosystems and its response to global warming," Ecological Modelling, Elsevier, vol. 294(C), pages 105-116.
    2. Ding, Yimin & Wang, Weiguang & Song, Ruiming & Shao, Quanxi & Jiao, Xiyun & Xing, Wanqiu, 2017. "Modeling spatial and temporal variability of the impact of climate change on rice irrigation water requirements in the middle and lower reaches of the Yangtze River, China," Agricultural Water Management, Elsevier, vol. 193(C), pages 89-101.
    3. Wang, Xiong & Wang, Xiao & Ren, Xiaohang & Wen, Fenghua, 2022. "Can digital financial inclusion affect CO2 emissions of China at the prefecture level? Evidence from a spatial econometric approach," Energy Economics, Elsevier, vol. 109(C).
    4. Pachepsky, Elizaveta & Bown, James L. & Eberst, Alistair & Bausenwein, Ursula & Millard, Peter & Squire, Geoff R. & Crawford, John W., 2007. "Consequences of intraspecific variation for the structure and function of ecological communities Part 2: Linking diversity and function," Ecological Modelling, Elsevier, vol. 207(2), pages 277-285.
    5. F. Nelson & O. Anisimov & N. Shiklomanov, 2002. "Climate Change and Hazard Zonation in the Circum-Arctic Permafrost Regions," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 26(3), pages 203-225, July.
    6. Paulo A.L.D. Nunes & Helen Ding & Sonja Teelucksingh, 2010. "European Forests and Carbon Sequestration Services: An Economic Assessment of Climate Change Impacts," Working Papers 2010.10, Fondazione Eni Enrico Mattei.
    7. John Reilly & David Schimmelpfennig, 2000. "Irreversibility, Uncertainty, and Learning: Portraits of Adaptation to Long-Term Climate Change," Climatic Change, Springer, vol. 45(1), pages 253-278, April.
    8. Zhang, Yixiao & He, Tao & Liang, Shunlin & Zhao, Zhongguo, 2023. "A framework for estimating actual evapotranspiration through spatial heterogeneity-based machine learning approaches," Agricultural Water Management, Elsevier, vol. 289(C).
    9. Li Yu & Fengxue Gu & Mei Huang & Bo Tao & Man Hao & Zhaosheng Wang, 2020. "Impacts of 1.5 °C and 2 °C Global Warming on Net Primary Productivity and Carbon Balance in China’s Terrestrial Ecosystems," Sustainability, MDPI, vol. 12(7), pages 1-17, April.
    10. Craig D. Idso, 2001. "Earth's Rising Atmospheric Co2 Concentration: Impacts on the Biosphere," Energy & Environment, , vol. 12(4), pages 287-310, July.
    11. Tang, Wenliang & Yang, Mian & Duan, Hongbo, 2023. "Temperature and corporate tax avoidance: Evidence from Chinese manufacturing firms," Energy Economics, Elsevier, vol. 117(C).
    12. Jörg Kaduk & Sietse Los, 2011. "Predicting the time of green up in temperate and boreal biomes," Climatic Change, Springer, vol. 107(3), pages 277-304, August.
    13. Patricia Arrogante-Funes & Carlos J. Novillo & Raúl Romero-Calcerrada, 2018. "Monitoring NDVI Inter-Annual Behavior in Mountain Areas of Mainland Spain (2001–2016)," Sustainability, MDPI, vol. 10(12), pages 1-24, November.
    14. Lausch, Angela & Salbach, Christoph & Schmidt, Andreas & Doktor, Daniel & Merbach, Ines & Pause, Marion, 2015. "Deriving phenology of barley with imaging hyperspectral remote sensing," Ecological Modelling, Elsevier, vol. 295(C), pages 123-135.
    15. G. Nabuurs & I. Wyngaert & W. Daamen & H. Kramer & P. Kuikman, 2008. "The Dutch National System for forest sector greenhouse gas reporting under UNFCCC," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 13(3), pages 267-282, March.
    16. Mette, Tobias & Albrecht, Axel & Ammer, Christian & Biber, Peter & Kohnle, Ulrich & Pretzsch, Hans, 2009. "Evaluation of the forest growth simulator SILVA on dominant trees in mature mixed Silver fir–Norway spruce stands in South-West Germany," Ecological Modelling, Elsevier, vol. 220(13), pages 1670-1680.
    17. Zhang, Yan & Li, Juan & Fath, Brian D. & Zheng, Hongmei & Xia, Linlin, 2015. "Analysis of urban carbon metabolic processes and a description of sectoral characteristics: A case study of Beijing," Ecological Modelling, Elsevier, vol. 316(C), pages 144-154.
    18. Guangzhou Wang & Haley M. Burrill & Laura Y. Podzikowski & Maarten B. Eppinga & Fusuo Zhang & Junling Zhang & Peggy A. Schultz & James D. Bever, 2023. "Dilution of specialist pathogens drives productivity benefits from diversity in plant mixtures," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    19. Kwikiriza, Norman & Katungi, Enid & Horna, Daniela, 2011. "Estimating the role of spatial varietal diversity on crop productivity within an abatement framework: The case of banana in Uganda," IFPRI discussion papers 01051, International Food Policy Research Institute (IFPRI).
    20. Yan, Chuan & Zhang, Zhibin, 2018. "Dome-shaped transition between positive and negative interactions maintains higher persistence and biomass in more complex ecological networks," Ecological Modelling, Elsevier, vol. 370(C), pages 14-21.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecomod:v:251:y:2013:i:c:p:232-245. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.