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Research Article | Open Access

Potential reduction in carbon fixation capacity under climate change in a Pinus koraiensis forest

Department of Civil Engineering, Keimyung University, Daegu, 42601, Republic of Korea
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Abstract

There has been an increasing recognition of the crucial role of forests, responsible for sequestering atmospheric CO2, as a moral imperative for mitigating the pace of climate change. The complexity of evaluating climate change impacts on forest carbon and water dynamics lies in the diverse acclimations of forests to changing environments. In this study, we assessed two of the most common acclimation traits, namely leaf area index and the maximum rate of carboxylation (Vcmax), to explore the potential acclimation pathways of Pinus koraiensis under climate change. We used a mechanistic and process-based ecohydrological model applied to a P. koraiensis forest in Mt. Taehwa, South Korea. We conducted numerical investigations into the impacts of (ⅰ) Shared Socioeconomic Pathways 2–4.5 (SSP2-4.5) and 5–8.5 (SSP5-8.5), (ⅱ) elevated atmospheric CO2 and temperature, and (ⅲ) acclimations of leaf area index and Vcmax on the carbon and water dynamics of P. koraiensis. We found that there was a reduction in net primary productivity (NPP) under the SSP2-4.5 scenario, but not under SSP5-8.5, compared to the baseline, due to an imbalance between increases in atmospheric CO2 and temperature. A decrease in leaf area index and an increase in Vcmax of P. koraiensis were expected if acclimations were made to reduce its leaf temperature. Under such acclimation pathways, it would be expected that the well-known CO2 fertilizer effects on NPP would be attenuated.

Keywords

Climate changeAcclimationNEPPinus koraiensisWarming

References

 

Bagley, J., Rosenthal, D.M., Ruiz-Vera, U.M., Siebers, M.H., Kumar, P., Ort, D.R., Bernacchi, C.J., 2015. The influence of photosynthetic acclimation to rising CO2 and warmer temperatures on leaf and canopy photosynthesis models. Global Biogeochem. Cycles 29, 194–206. https://doi.org/10.1002/2014GB004848.
Crossref Google Scholar
 
Ball, J., Berry, J.A., 1982. The Ci/cs Ratio: a Basis for Predicting Stomatal Control of Photosynthesis. Carnegie Institute Washington, Washington, pp. 88–92.
 

Burgess, M.G., Becker, S.L., Langendorf, R.E., Fredston, A., Brooks, C.M., 2023. Climate change scenarios in fisheries and aquatic conservation research. ICES J. Mar. Sci. 80, 1163–1178. https://doi.org/10.1093/icesjms/fsad045.
Crossref Google Scholar
 

Carsel, R.F., Parrish, R.S., 1988. Developing joint probability distributions of soil water retention characteristics. Water Resour. Res. 24, 755–769. https://doi.org/10.1029/WR024i005p00755.
Crossref Google Scholar
 

Cervarich, M., Shu, S., Jain, A.K., Arneth, A., Canadell, J., Friedlingstein, P., Houghton, R.A., Kato, E., Koven, C., Patra, P., 2016. The terrestrial carbon budget of South and Southeast Asia. Environ. Res. Lett. 11, 105006. https://doi.org/10.1088/1748-9326/11/10/105006.
Crossref Google Scholar
 

Christensen, P., Gillingham, K., Nordhaus, W., 2018. Uncertainty in forecasts of long-run economic growth. PNAS 115, 5409–5414. https://doi.org/10.1073/pnas.1713628115.
Crossref Google Scholar
 

Daigneault, A., Baker, J.S., Guo, J., Lauri, P., Favero, A., Forsell, N., Johnston, C., Ohrel, S.B., Sohngen, B., 2022. How the future of the global forest sink depends on timber demand, forest management, and carbon policies. Global Environ. Change 76, 102582. https://doi.org/10.1016/j.gloenvcha.2022.102582.
Crossref Google Scholar
 

Davis, E.C., Sohngen, B., Lewis, D.J., 2022. The effect of carbon fertilization on naturally regenerated and planted US forests. Nat. Commun. 13, 5490. https://doi.org/10.1038/s41467-022-33196-x.
Crossref Google Scholar
 

Didion-Gency, M., Gessler, A., Buchmann, N., Gisler, J., Schaub, M., Grossiord, C., 2022. Impact of warmer and drier conditions on tree photosynthetic properties and the role of species interactions. New Phytol. 236, 547–560. https://doi.org/10.1111/nph.18384.
Crossref Google Scholar
 

Drewry, D.T., Kumar, P., Long, S., Bernacchi, C., Liang, X.Z., Sivapalan, M., 2010a. Ecohydrological responses of dense canopies to environmental variability: 1. Interplay between vertical structure and photosynthetic pathway. J. Geophys. Res. G: Biogeosciences 115, G04002. https://doi.org/10.1029/2010JG001340.
Crossref Google Scholar
 

Drewry, D.T., Kumar, P., Long, S., Bernacchi, C., Liang, X.Z., Sivapalan, M., 2010b. Ecohydrological responses of dense canopies to environmental variability: 2. Role of acclimation under elevated CO2. J. Geophys. Res. G: Biogeosciences 115, G04023. https://doi.org/10.1029/2010JG001341.
Crossref Google Scholar
 

Dubey, N., Ghosh, S., 2023. CO2 fertilization enhances vegetation productivity and reduces ecological drought in India. Environ. Res. Lett. 18, 064025. https://doi.org/10.1088/1748-9326/acd5e7.
Crossref Google Scholar
 

Dusenge, M.E., Duarte, A.G., Way, D.A., 2019. Plant carbon metabolism and climate change: elevated CO2 and temperature impacts on photosynthesis, photorespiration and respiration. New Phytol. 221, 32–49. https://doi.org/10.1111/nph.15283.
Crossref Google Scholar
 

Fatichi, S., Ivanov, V.Y., Caporali, E., 2010. Simulation of future climate scenarios with a weather generator. Adv. Water Resour. 34, 448–467. https://doi.org/10.1016/j.advwatres.2010.12.013.
Crossref Google Scholar
 

Fawzy, S., Osman, A.I., Doran, J., Rooney, D.W., 2020. Strategies for mitigation of climate change: a review. Environ. Chem. Lett. 18, 2069–2094. https://doi.org/10.1007/s10311-020-01059-w.
Crossref Google Scholar
 

Grassi, G., House, J., Dentener, F., Federici, S., den Elzen, M., Penman, J., 2017. The key role of forests in meeting climate targets requires science for credible mitigation. Nat. Clim. Change 7, 220–226. https://doi.org/10.1038/nclimate3227.
Crossref Google Scholar
 

Haverd, V., Smith, B., Canadell, J.G., Cuntz, M., Mikaloff-Fletcher, S., Farquhar, G., Woodgate, W., Briggs, P.R., Trudinger, C.M., 2020. Higher than expected CO2 fertilization inferred from leaf to global observations. Global Change Biol. 26, 2390–2402. https://doi.org/10.1111/gcb.14950.
Crossref Google Scholar
 
IPCC, 2021. Climate Change 2021: the Physical Science Basis. Contribution of Working Group Ⅰ to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA. https://doi.org/10.1017/9781009157896.
Crossref
 

Kim, C., Kim, S.J., Jeong, J., Park, E., Oh, E., Park, Y.I., Lim, P.O., Choi, G., 2020. High ambient temperature accelerates leaf senescence via phytochrome-interacting factor 4 and 5 in Arabidopsis. Mol. Cells 43, 645–661. https://doi.org/10.14348/molcells.2020.0117.
Crossref Google Scholar
 

Kovenock, M., Swann, A.L.S., 2018. Leaf trait acclimation amplifies simulated climate warming in response to elevated carbon dioxide. Global Biogeochem. Cycles 32, 1437–1448. https://doi.org/10.1029/2018GB005883.
Crossref Google Scholar
 

Kullberg, A.T., Coombs, L., Ahuanari, R.D.S., Fortier, R.P., Feeley, K.J., 2023. Leaf thermal safety margins decline at hotter temperatures in a natural warming 'experiment' in the Amazon. New Phytol. 240, 1. https://doi.org/10.1111/nph.19413.
Crossref Google Scholar
 

Kwak, D.A., Lee, W.K., Son, Y., Choi, S., Yoo, S., Chung, D.J., Lee, S.H., Kim, S.H., Choi, J.K., Lee, Y.J., Byun, W.H., 2012. Predicting distributional change of forest cover and volume in future climate of South Korea. For. Sci. Technol. 8, 105–115. https://doi.org/10.1080/21580103.2012.673751.
Crossref Google Scholar
 

Le, P.V.V., Kumar, P., Drewry, D.T., 2011. Implications for the hydrologic cycle under climate change due to the expansion of bioenergy crops in the midwestern United States. PNAS 108, 15085–15090. https://doi.org/10.1073/pnas.1107177108.
Crossref Google Scholar
 

Lee, E., Kumar, P., Barron-Gafford, G.A., Hendryx, S.M., Sanchez-Canete, E.P., Minor, R.L., Colella, T., Scott, R.L., 2018. Impact of hydraulic redistribution on multispecies vegetation water use in a semiarid savanna ecosystem: an experimental and modeling synthesis. Water Resour. Res. 54, 4009–4027. https://doi.org/10.1029/2017WR021006.
Crossref Google Scholar
 

Lee, E., Kumar, P., Knowles, J.F., Minor, R.L., Tran, N., Barron-Gafford, G.A., Scott, R.L., 2021a. Convergent hydraulic redistribution and groundwater access supported facilitative dependency between trees and grasses in a semi-arid environment. Water Resour. Res. 57, e2020WR028103. https://doi.org/10.1029/2020WR028103.
Crossref Google Scholar
 

Lee, H., Ju, H., Jeon, J., Lee, M., Suh, S., Kim, H.S., 2021b. Evaluation of carbon sequestration capacity of a 57-year-old Korean pine plantation in Mt. Taehwa based on carbon flux measurement using eddy-covariance and automated soil chamber system. J. Korean Soc. For. Sci. 110, 554–568. https://doi.org/10.14578/jkfs.2021.110.4.554.
Crossref Google Scholar
 

Liu, W., Su, J., 2016. Ffects of light acclimation on shoot morphology, structure, and biomass allocation of two Taxus species in southwestern China. Sci. Rep. 6, 35384. https://doi.org/10.1038/srep35384.
Crossref Google Scholar
 

Luo, H., Xu, H., Chu, C., He, F., Fang, S., 2020. High temperature can change root system architecture and intensify root interactions of plant seedlings. Front. Plant Sci. 11, 160. https://doi.org/10.3389/fpls.2020.00160.
Crossref Google Scholar
 

Lutze, J.L., Gifford, R.M., 1998. Carbon accumulation, distribution and water use of Danthonia richardsonii swards in response to CO2 and nitrogen supply over four years of growth. Global Change Biol. 4, 851–861. https://doi.org/10.1046/j.1365-2486.1998.00200.x.
Crossref Google Scholar
 

Mahowald, N., Lo, F., Zheng, Y., Harrison, L., Funk, C., Lombardozzi, D., Goodale, C., 2016. Projections of leaf area index in Earth system models. Earth Syst. Dynam. 7, 211–229. https://doi.org/10.5194/esd-7-211-2016.
Crossref Google Scholar
 

Moncrieff, J.B., Fang, C., 1999. A model for soil CO2 production and transport 2: Application to a Florida Pinus Elliotte plantation. Agric. For. Meteorol. 95, 237–256. https://doi.org/10.1016/s0168-1923(99)00035-0.
Crossref Google Scholar
 

Myneni, R., Knyazikhin, Y., Park, T., 2015. MCD15A2H MODIS/Terra+Aqua leaf area index/FPAR 8-day L4 global 500 m SIN grid V006. NASA EOSDIS Land Processes DAAC. https://doi.org/10.5067/MODIS/MCD15A2H.006.
Crossref Google Scholar
 

Nagy, Z., Tuba, Z., 2008. Effects of elevated air CO2 concentration on loess grassland vegetation as investigated in a mini FACE experiment. Community Ecol. 9, 153–160. https://doi.org/10.1556/ComEc.9.2008.S.20.
Crossref Google Scholar
 

Nam, K., Lee, W.K., Kim, M., Kwak, D.A., Byun, W.H., Yu, H., Kwak, H., Kwon, T., Sung, J., Chung, D.J., Lee, S.H., 2015. Spatio-temporal change in forest cover and carbon storage considering actual and potential forest cover in South Korea. Sci. China Life Sci. 58, 713–723. https://doi.org/10.1007/s11427-014-4773-4.
Crossref Google Scholar
 

Nandan, R., Woo, D.K., Kumar, P., Adinarayana, J., 2021. Impact of irrigation scheduling methods on corn yield under climate change. Agric. Water Manag. 255, 106990. https://doi.org/10.1016/j.agwat.2021.106990.
Crossref Google Scholar
 

Njana, M., Mbiliny, B., Zahabu, E., 2021. The role of forests in the mitigation of global climate change: emprical evidence from Tanzania. Environ. Chall. 4, 100170. https://doi.org/10.1016/j.envc.2021.100170.
Crossref Google Scholar
 

Pretzsch, H., 2022. Facilitation and competition reduction in tree species mixtures in Central Europe: consequences for growth modeling and forest management. Ecol. Model. 464, 109812. https://doi.org/10.1016/j.ecolmodel.2021.109812.
Crossref Google Scholar
 

Quijano, C.J., Kumar, P., 2015. Numerical simulations of hydraulic redistribution across climates: the role of the root hydraulic conductivities. Water Resour. Res. 51, 3729–3746. https://doi.org/10.1002/2014WR016509.
Crossref Google Scholar
 

Quijano, J.C., Kumar, P., Drewry, D.T., 2013. Passive regulation of soil biogeochemical cycling by root water transport. Water Resour. Res. 49, 227–288. https://doi.org/10.1002/wrcr.20310.
Crossref Google Scholar
 

Quijano, J.C., Kumar, P., Drewry, D.T., Goldstein, A., Misson, L., 2012. Competitive and mutualistic dependencies in multispecies vegetation dynamics enabled by hydraulic redistribution. Water Resour. Res. 48, W05518. https://doi.org/10.1029/2011WR011416.
Crossref Google Scholar
 

Reich, P.B., Sendall, K.M., Stefanski, A., Rich, R.L., Hobbie, S.E., Montgomery, R.A., 2018. Effects of climate warming on photosynthesis in boreal tree species depend on soil moisture. Nature 562, 263–267. https://doi.org/10.1038/s41586-018-0582-4.
Crossref Google Scholar
 

Roque-Malo, S., Woo, D.K., Kumar, P., 2020. Modeling the role of root exudation in critical zone nutrient dynamics. Water Resour. Res. 56, e2019WR026606. https://doi.org/10.1029/2019WR026606.
Crossref Google Scholar
 
Roque-Malo, S., Yan, Q., Woo, D.K., Druhan, J.L., Kumar, P., 2022. Advances in Biogeochemical Modeling for Intensively Managed Landscapes. Springer, Cham. https://doi.org/10.1007/978-3-030-95921-0_6.
Crossref
 

Schonbeck, L., Grossiord, C., Gessler, A., Gisler, J., Meusburger, K., D'Odorico, P., Rigling, A., Salmon, Y., Stocker, B.D., Zweifel, R., Schaub, M., 2022. Photosynthetic acclimation and sensitivity to short- and long-term environmental changes in a drought-prone forest. J. Exp. Bot. 73, 2576–2588. https://doi.org/10.1093/jxb/erac033.
Crossref Google Scholar
 

Shin, Y., Min, M.S., Borzee, A., 2021. Driven to the edge: species distribution modeling of a Clawed Salamander (Hynobiidae: Onychodactylus koreanus) predicts range shifts and drastic decrease of suitable habitats in response to climate change. Ecol. Evol. 11, 14669–14688. https://doi.org/10.1002/ece3.8155.
Crossref Google Scholar
 

Singh, B.K., Delgado-Baquerizo, M., Egidi, E., Guirado, E., Leach, J.E., Liu, H., Trivedi, P., 2023. Climate change impacts on plant pathogens, food security and paths forward. Nat. Rev. Microbiol. 21, 640–656. https://doi.org/10.1038/s41579-023-00900-7.
Crossref Google Scholar
 

Sitch, S., Huntingford, C., Gedney, N., Levy, P.E., Lomas, M., Piao, S.L., Betts, R., Ciais, P., Cox, P., Friedlingstein, P., Jones, C.D., Prentice, I.C., Woodward, F.I., 2008. Evaluation of the terrestrial carbon cycle, future plant geography and climate-carbon cycle feedbacks using five Dynamic Global Vegetation Models (DGVMs). Global Change Biol. 14, 2015–2039. https://doi.org/10.1111/j.1365-2486.2008.01626.x.
Crossref Google Scholar
 

Smith, N.G., McNellis, R., Dukes, J.S., 2020. No acclimation: instantaneous responses to temperature maintain homeostatic photosynthetic rates under experimental warming across a precipitation gradient in Ulmus americana. AoB PLANTS 12, plaa027. https://doi.org/10.1093/aobpla/plaa027.
Crossref Google Scholar
 

Sohng, J., Han, A.R., Jeong, M.A., Park, Y., Park, B.B., Park, P.S., 2014. Seasonal pattern of decomposition and N, P, and C dynamics in leaf litter in a Mongolian oak forest and a Korean pine plantation. Forests 5, 2561–2580. https://doi.org/10.3390/f5102561.
Crossref Google Scholar
 

Sperry, J.S., Venturas, M.D., Todd, H.N., Trugman, A.T., Anderegg, W.R.L., Wang, Y., Tai, X., 2019. The impact of rising CO2 and acclimation on the response of US forests to global warming. PNAS 116, 25734–25744. https://doi.org/10.1073/pnas.1913072116.
Crossref Google Scholar
 

Srinivasan, V., Kumar, P., Long, S.P., 2016. Decreasing, not increasing, leaf area will raise crop yields under global atmospheric change. Global Change Biol. 23, 1626–1635. https://doi.org/10.1111/gcb.13526.
Crossref Google Scholar
 

Sterck, F., Anten, N.P.R., Schieving, F., Zuidema, P.A., 2016. Trait acclimation mitigates mortality risks of tropical canopy trees under global warming. Front. Plant Sci. 7, 607. https://doi.org/10.3389/fpls.2016.00607.
Crossref Google Scholar
 

Suh, S., Park, S., Shim, K., Yang, B., Choi, E., Lee, J., Kim, T., 2014. The effect of rain fall event on CO2 emission in Pinus koraiensis plantation in Mt. Taehwa. Korean J. Environ. Biol. 32, 389–394. https://doi.org/10.11626/KJEB.2014.32.4.389.
Crossref Google Scholar
 

Swann, A.L.S., Hoffman, F.M., Koven, C.D., Randerson, J.T., 2016. Plant responses to increasing CO2 reduce estimates of climate impacts on drought severity. PNAS 113, 10019–10024. https://doi.org/10.1073/pnas.1604581113.
Crossref Google Scholar
 

Tang, G., Beckage, B., Smith, B., 2014. Potential future dynamics of carbon fluxes and pools in New England forests and their climatic sensitivities: a model-based study. Global Biogeochem. Cycles 28, 286–299. https://doi.org/10.1002/2013GB004656.
Crossref Google Scholar
 

Tao, F., Zhang, Z., 2010. Dynamic responses of terrestrial ecosystems structure and function to climate change in China. J. Geophys. Res. G: Biogeosciences 115, G03003. https://doi.org/10.1029/2009JG001062.
Crossref Google Scholar
 

Walker, A.P., Kauwe, M.G.D., Bastos, A., Belmecheri, S., Georgiou, K., Keeling, R.F., McMahon, S.M., Medlyn, B.E., Moore, D.J.P., Norby, R.J., Zaehle, S., Anderson-Teixeira, K.J., Battipaglia, G., Brienen, R.J.W., Cabugao, K.G., Cailleret, M., Campbell, E., Canadell, J.G., Ciais, P., Craig, M.E., Ellsworth, D.S., Farquhar, G.D., Fatichi, S., Fisher, J.B., Frank, D.C., Graven, H., Gu, L., Haverd, V., Heilman, K., Heimann, M., Hungate, B.A., Iversen, C.M., Joos, F., Jiang, M., Keenan, T.F., Knauer, J., Korner, C., Leshyk, V.O., Leuzinger, S., Liu, Y., MacBean, N., Malhi, Y., McVicar, T.R., Penuelas, J., Pongratz, J., Powell, A.S., Riutta, T., Sabot, M.E.B., Schleucher, J., Sitch, S., Smith, W.K., Sulman, B., Taylor, B., Terrer, C., Torn, M.S., Treseder, K.K., Trugman, A.T., Trumbore, S.E., van Mantgem, P.J., Voelker, S.L., Whelan, M.E., Zuidema, P.A., 2020. Integrating the evidence for a terrestrial carbon sink caused by increasing atmospheric CO2. New Phytol. 229, 2413–2445. https://doi.org/10.1111/nph.16866.
Crossref Google Scholar
 

Way, D.A., Oren, R., 2010. Differential responses to changes in growth temperature between trees from different functional groups and biomes: a review and synthesis of data. Tree Physiol. 30, 669–688. https://doi.org/10.1093/treephys/tpq015.
Crossref Google Scholar
 

Way, D.A., Oren, R., Kroner, Y., 2015. The space-time continuum: the effects of elevated CO2 and temperature on trees and the importance of scaling. Plant Cell Environ. 38, 991–1007. https://doi.org/10.1111/pce.12527.
Crossref Google Scholar
 

William, R., Goodwell, A., Richardson, M., Le, P.V.V., Kumar, P., Stillwell, A.S., 2016. An environmental cost-benefit analysis of alternative green roofing strategies. Ecol. Eng. 95, 1–9. https://doi.org/10.1016/j.ecoleng.2016.06.091.
Crossref Google Scholar
 

Woo, D.K., Do, W., 2021. The role of forest in climate change for carbon, nitrogen, and water: a case study of Pinus densiflora. Water 13, 3050. https://doi.org/10.3390/w13213050.
Crossref Google Scholar
 

Woo, D.K., Riley, W.J., Grant, R.F., Wu, Y., 2022. Site-specific field management adaptation is key to feeding the world in the21st century. Agric. For. Meteorol. 327. https://doi.org/10.1016/j.agrformet.2022.109230.
Crossref Google Scholar
 

Woo, D.K., Seo, Y., 2022. Effects of elevated temperature and abnormal precipitation on soil carbon and nitrogen dynamics in a Pinus densiflora forest. Front. For. Glob. Change 5, 1051210. https://doi.org/10.3389/ffgc.2022.1051210.
Crossref Google Scholar
 

Yu, H., Lee, W.K., Son, Y., Kwak, D., Nam, K., Kim, M., Byun, J., Lee, S., Kwon, T., 2013. Estimating carbon stock in Korean forests between 2010 and 2110: a prediction based on forest volume-age relationships. For. Sci. Technol. 9, 105–110. https://doi.org/10.1080/21580103.2013.801174.
Crossref Google Scholar
 

Yun, J., Jeong, S., 2021. Contributions of economic growth, terrestrial sinks, and atmospheric transport to the increasing atmospheric CO2 concentrations over the Korean Peninsula. Carbon Bal. Manag. 16, 22. https://doi.org/10.1186/s13021-021-00186-3.
Crossref Google Scholar
Forest Ecosystems
Volume 11 Issue 2,
April 2024
Article number: 100183
DOI: 10.1016/j.fecs.2024.100183
Cite this article:
Woo DK. Potential reduction in carbon fixation capacity under climate change in a Pinus koraiensis forest. Forest Ecosystems, 2024, 11(2): 100183. https://doi.org/10.1016/j.fecs.2024.100183

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Received: 30 November 2023
Revised: 17 February 2024
Accepted: 05 March 2024
Published: 22 March 2024
© 2024 The Authors.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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