DIFFERENCE IN THE ECOLOGICAL STRATEGIES OF CONIFEROUS TREE SPECIES IN EUROPEAN AND CANADIAN BOREAL FORESTS: A MODELING ANALYSIS

О.Г. Чертов, А.С. Комаров, С.С. Быховец, Дж.С. Бхатти

Abstract


The role of net primary productivity (NPP) allocation to tree organs as a parameter reflecting the ecological strategy of trees is discussed. The application of an individual-based spatially explicit simulation model of the tree-soil system (EFIMOD) to European and North American boreal forests reveales significant differences in ecological parameters (silvics) between North American jack pine (Pinus banksiana Lamb.)and black spruce (Picea mariana Mill.) of Canadian boreal forests and European Scots pine (Pinus sylvestris L.) and Norway spruce (Piceaabies L. [Karst.]). A significant difference between these species was found in NPP allocation between the needles and fine roots. In the North American coniferous species, the proportion of annual biomass increment, as reflected by NPP, which is allocated to fine root production is higher than in the European ones. A simulation experiment was performed to investigate the influence of NPP allocation on the components of carbon balance and wood productivity. Additionally, a parameter „turnover capacity“ (TC) as the sum of NPP and soil respiration was used. North American and European conifers were compared in two sets of modeling runs. In the first set, the model was run upon changes in NPP allocation in tree species ‘growing’ under their native conditions (Canada or Russia). In the second set, the Canadian conifers were simulated under Russian climate and soil conditions, whereas the European ones, under respective Canadian conditions. The results showed considerable dissimilarities of tree growth rate, soil development and parameters of carbon balance depending of NPP allocation patterns.The trees with relatively higher NPP proportions allocated to fine root production demonstrated lower growth rate even at a high carbon turnover capacity corresponding to the milder climate of European Russia. On the other hand, trees with the European, more uniform, NPP allocation pattern showed higher growth rates compared with the Canadian trees even under the colder continental conditions of Central Canada. The results suggest that wood productivity levels may be significantly different at similar NPP and turnover capacity if trees have different NPP allocation patterns. This difference reflects the adaptation of the North American coniferous species to harsh soil and climatic conditions, which are very cold in the northern and very dry in the southern part of Central Canadian boreal forests. NPP allocation index (NPP partitioning between leaves and fine roots) is proposed as a measure of tree stress tolerance, adaptation to severe climatic conditions, and ecological strategy.

Keywords


EFIMOD model, North-American and European coniferous tree species, NPP allocation pattern, carbon balance, turnover capacity, wood production.

References


Комаров АС, Чертов ОГ, Надпорожская МА, Быховец СС, Грабарник ПЯ, Зудин СЛ, Андриенко Г, Андриенко Н, Припутина ИВ, Зубкова ЕВ, Морен Ф, Бхатти Дж, Михайлов АВ. Моделирование динамики органического вещества в лесных экосистемах. Москва: Наука; 2007.

Komarov AS, Chertov OG, Nadporozhskaya MA, Bykhovets SS, Grabarnik PYa, Zudin SL, Andrienko G, Andrienko N, Priputina IV, Zubkova YeV, Mohren F, Bhatti J, Mikhailov AV. Modelirovanie dinamiki organicheskogo veschestva v lesnykh ekosistemakh [Modelling of Organic Matter Dynamics in Forest Ecosystems]. Moscow: Nauka; 2007 (In Russ.)

Bhatti J, Chertov O, Komarov A. Influence of climate change, fire, insect and harvest on C dynamics for jack pine in central Canada: simulation approach with the EFIMOD model // Int J Clim Change Impacts Responses. 2009;1:43-61.

Brzeziecki B, Kienast F. Classifying the life-history strategies of trees on the basis of the Grimian model. Forest Ecol Manag. 1994;69:167- 87.

Chertov OG, Komarov AS, Tsiplianovsky AV. Simulation of soil organic matter and nitrogen accumulation in Scots pine plantations on bare parent material using forest combined model EFIMOD. Plant Soil. 1999;213:31-41.

Chertov OG, Komarov AS, Nadporozhskaya MA, Bykhovets SA, Zudin SL. ROMUL – a model of forest soil organic matter dynamics as a substantial tool for forest ecosystem modelling. Ecol Mod. 2001;138:289-308.

Chertov O, Komarov A, Kolström M, Pitkänen S, Strandman H, Zudin S, Kellomäki S. Modelling the long-term dynamics of populations and communities of trees in boreal forests based on competition for light and nitrogen. Forest Ecol Managm. 2003;176:355-69.

Chertov O, Komarov A, Mikhailov A, Andrienko G, Andrienko N, Gatalsky P. Geovisualisation of forest simulation modelling results: a case study of carbon sequestration and biodiversity. Comp Electron Agr. 2005;49:175-91.

Chertov O, Komarov A, Loukianov A, Mikhailov A, Nadporozhskaya M, Zubkova E. The use of forest ecosystem model EFIMOD for research and practical implementation at forest stand, local and regional levels. Ecol Mod. 2006;194:227-32.

Chertov O, Bhatti J, Komarov A, Apps M, Mikhailov A, Bykhovets S. Use the EFIMOD model to study the influence of climate change, fire and harvest on the carbon dynamics for black spruce in central Canada. Forest Ecol Manag. 2009;257:941-50.

Chertov OG, Komarov AS, Gryazkin AV, Smirnov AP, Bhatti JS. Simulation modeling of the impact of forest fire on the carbon pool in coniferous forests of European Russia and Central Canada. Contemp Probl Ecol. 2013;6:747–53.

Dewar RC, Ludlow AR, Dougherty PM. Environmental influences on carbon allocation in pines. Ecol Bull 1994;43,92-101.

Dwyer LM, Stewart DW, Balchin D. Rooting characteristics of corn, soybean and barley as a function of available water and soil physical caracteristics. Can J Soil Sci. 1988;68:121-32.

Elser J. Biological stoichiometry: a chemical bridge between ecosystem ecology and evolutionary biology. Am Nat. 2006;168:25-35.

Elser JJ, Hamilton A. Stoichiometry and the new biology: the future is now. PLoS Biol. 2007;5:e181.

France J, Thornley JHM. Mathematical Models in Agriculture. London-Boston-Durban-SingaporeSydney-Toronto-Willington: Butterworth; 1984.

Friend AD, Stevens AK, Knox RG, Cannell MGR. A process-based, terrestrial biosphere model of ecosystem dynamics (HYBRID v3.0). Ecol Mod. 1997;95:249-87.

Gower ST, Vogel J, Stow TK, Norman JM, Steele SJ, Kucharik CJ. Carbon distribution and above-ground net primary production of upland and lowland boreal forest in Saskahewan and Manitoba. J Geophys Res. 1997;104:29029-41.

Grime JP, Plant Strategies and Vegetation Processes. Chichester – New York – Brisbane – Toronto: John Wiley & Sons;1979.

Grime JPh. Plant Strategies, Vegetation Processes, and Ecosystem Properties. N.Y.: John Wiley & Sons; 2002.

Halliwell DH, Apps MJ. BOReal EcosystemAtmosphere Study (BOREAS) Biometry and Auxiliary sites: Locations and Descriptions. Edmonton (Alberta): Northern Forest Centre; 1997.

Halliwell DH, Apps MJ. BOReal EcosystemAtmosphere study (BOREAS) Biometry and ПРИРОДА Междисциплинарный научный и прикладной журнал «Биосфера», 2015, т. 7, № 3 337 Auxiliary sites: Overstory and Understory data. Edmonton (Alberta): Northern Forest Center; 1997.

Halliwell DH, Apps MJ. BOReal EcosystemAtmosphere Study (BOREAS) Biometry and Auxiliary sites: Soils and Detritus Data. Edmonton (Alberta): Northern Forest Centre; 1997.

Harmon ME, Marks B. Effects of silvicultural practices on carbon stores in Douglas-fir – western hemlock forests in the Pacific Northwest, U.S.A.: results from a simulation model. Can J Forest Res. 2002;32:863-77.

Johnson IR, Thornley JHM. A model of shoot: root partitioning with optimal growth. Ann Bot. 1987;60:133-42.

Kellomäki S, Väisänen H, Strandman H. FinnFor: A Model for Calculating the Response of the Boreal Forest Ecosystem to Climate Changes. Res Note 6. Faculty Forestry, University Joensuu, Finland; 1993.

Kimmins JP. Forest Ecology: A Foundation for Sustainable Development. Upper Saddle River (NJ): Prentice-Hall Inc; 1997.

Kimmins JP, Mailly D, Seely B. Modelling forest ecosystem net primary production: the hybrid simulation approach used in FORECAST. Ecol Mod. 1999;122:195-224.

Komarov A, Chertov O, Zudin S, Nadporozhskaya M, Mikhailov A, Bykhovets S, Zudina E, Zoubkova E. EFIMOD 2 – A model of growth and elements cycling in boreal forest ecosystems. Ecol Mod. 2003;170:373-92.

Kozlowski TT, Pallardy SG. Physiology of Woody Plants, 2nd ed. San Diego (CA): Academic Press; 1997.

Kurz WA, Apps MJ. A 70-year retrospective analysis of carbon fluxes in the Canadian forest sector. Ecol Appl. 1999; 9:526-547.

Landsberg JJ. Physiological Ecology of Forest Production. London: Acad Press; 1986.

Landsberg J. Modelling forest ecosystems: state of the art, challenges, and future directions. Can J Forest Res. 2003;33:385-97.

Mäkelä A. Modeling structural-functional relationships in whole-tree growth: resource allocation. In: Dixon RK, Mehldahl RS, Ruark GA, Warren WC, eds. Process Modelling of Forest Growth Responses to Environmental Stress. Portland: Timber Press; 1990. p. 81-95.

Mäkelä A, Landsberg JJ, Ek AE, Burk TE, Ter-Mikaelian M, Ågren G, Oliver CD, Puttonen P. Process-based models for forest ecosystem management: current state-of-the-art and challenges for practical implementation. Tree Physiol. 2000;20:289-98.

Messier C, Fortin M-J, Schmiegelow F, Doyon F, Cumming SG, Kimmins JP, Seely B, Welham C, Nelson J. Modelling tools to assess the sustainability of forest management scenarios. In: Burton PJ, Messier C, Smith DW, Adamowicz WL, eds. Towards Sustainable Management of the Boreal Forest. Chapter 14. Ottawa: NRC Research Press; 2003. p. 531-80.

Mitchell TD, Carter TR, Jones PD, Hulme M, New M. A comprehensive set of high-resolution grids of monthly climate for Europe and the globe: the observed record (1901-2000) and 16 scenarios (2001-2100). Tyndall Centre Clim Change Res, Work Paper 55. 2004. http://www.cru.uea. ac.uk/~timm/grid/TYN_SC_2_0.html

Nadelhoffer KJ, Raich JW. Fine root production estimates and belowground carbon allocation in forest ecosystems. Ecology. 1992;73:1139-47.

Newton PF, Amponsah IG. Systematic review of short-term growth responses of semi-mature black spruce and jack pine stands to nitrogenbased fertilization treatments. Forest Ecol Manag. 2006;237:1-14.

Porté A, Bartelink HH. Modelling mixed forest growth: a review of models for forest management. Ecol Mod. 2002;150:141-88.

Prentice IC, Helmisaari H. Silvics of north European trees: compilation, comparisons and implications for forest succession modelling. Forest Ecol Manag. 1991;42:79-93.

Price DT, McKenney DW, Papadopol P, Logan T, Huhinson MF. High resolution future scenario climate data for North America. Proc Amer Meteor Soc 26th Conf Agr Forest Meteorol, Vancouver (B.C.), 23-26 Aug 2004, 13 p. CD-ROM.

Running SW, Gower ST. FOREST-BGC, a general model of forest ecosystem processes for regional applications. II. Dynamic carbon allocation and nitrogen budgets. Tree Physiol. 1991;9:147-60.

Shaw C, Chertov O, Komarov A, Bhatti J, Nadporozskaya M, Apps M, Bykhovets S, Mikhailov A. Application of the forest ecosystem model EFIMOD 2 to jack pine along the Boreal Forest Transect Case Study. Can J Soil Sci. 2006;86:171-85.

Shanin VN, Komarov AS, Mikhailov AV, Bykhovets SS. Modelling carbon and nitrogen dynamics in forest ecosystems of Central Russia under different climate change scenarios and forest management regimes. Ecol Mod. 2011;222:2262-75.

Steele SJ, Gower ST, Vogel J, Stow TK, Norman JM. Root mass net primary production and turnover in aspen, jack pine and black spruce forest in Saskatchewan and Manitoba, Canada. Tree Physiol. 1997;17:577-87.

Thornley JHM, Cannell MGR. Nitrogen relations in a forest plantation – soil organic matter ecosystem model. Ann. Bot. 1992;70:137-51.

Thornley JHM, Johnson IR. Plant and Crop Modelling. A Mathematical Approach to Plant and Crop Physiology. Caldwell, New Jersey: Blackburn Press; 2000.

Tilman D. Plant Strategies and the Dynamics and Structure of Plant Communities. Monographs in Population Biology. Princeton University Press; 1988.

Wallman P, Sverdrup H, Svensson MGE. ForSAFE an integrated process-oriented forest model for long-term sustainability assessments. Lund: Lund University Chemical Engineering; 2003.

Westbrook CJ, Devito KJ, Allan CJ. Soil N cycling in harvested and pristine Boreal forests and peatlands. Forest Ecol Manag. 2006; 234:227-37. 51. Westoby MDS, Falster AT, Moles PA, Vesk I, Wright J. Plant ecological strategies: some leading dimensions of variation between species. Ann Rev Ecol Systematics. 2002;33:125-59.




DOI: http://dx.doi.org/10.24855/biosfera.v7i3.89

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