Abstract
Abstract and background
Widespread changes in forest structure and distribution have been documented in northern Patagonia over the past century. We employed LPJ-GUESS, a dynamic global vegetation model (DGVM) to investigate the role of climate, atmospheric carbon dioxide (CO2), and fire on simulated forest cover during the twentieth century. Our objective was to assess the drivers responsible for forest change to temperature, precipitation, radiation, fire and atmospheric CO2
Results
Simulations using observed changes in climate and CO2 from 1930 to 2010, showed an increase in forest cover under changing climate and CO2, because of higher carbon assimilation and net primary production. The model results were compared with a remote-sensing-derived biomass map and ‘greening’ indices from the normalized difference vegetation index. Model simulations and satellite data both show increased greening at high and low elevations. In contrast, simulations using pre-industrial climate and CO2 conditions resulted in a decrease in fire frequency and lower simulated biomass than is reflected by present-day vegetation.
Conclusion
Our simulations shows that climate is the primary driver and CO2 fertilization is the secondary driver of forest expansion in northern Patagonia. We suggest that rising CO2 mitigates climate-induced drought stress due to increases in water-use efficiency.
Similar content being viewed by others
References
AmingoRamirez JC (1998) A bioclimatic classification of Chile: woodland comunities in the temperate zone. Plant Ecol 136:9–26
Avitabile V, Herold M, Heuvelink GBM, Lewis SL, Phillips OL, Asner GP, Armston J, Ashton PS, Banin L, Bayol N, Berry NJ, Boeckx P, Jong BHJ, DeVries B, Girardin CAJ, Kearsley E, Lindsell JA, Lopez-Gonzalez G, Lucas R, Malhi Y, Morel A, Mitchard ETA, Nagy L, Qie L, Quinones MJ, Ryan CM, Ferry SJW, Sunderland T, Laurin GV, Gatti RC, Valentini R, Verbeeck H, Wijaya A, Willcock S (2016) An integrated pan-tropical biomass map using multiple reference datasets. Glob Change Biol 22(4):1406–1420.
Bartholomé E, Belward AS (2007) GLC2000: a new approach to global land cover mapping from Earth observation data. Int J Remote Sens 26:1959–1977
Batjes NH (2015) World soil property estimates for broad-scale modellling (WISE30sec,ver.1.0). Report 2015/01, ISRIC - World Soil Information, Wageningen
Bianchi E, Villalba R, Viale M, Couvreux F, Marticorena R (2016) New precipitation and temperature grids for northern Patagonia: advances in relation to global climate grids. Journal of Meteorological Research 30(1):38–52.
Blanke JH, Lindeskog M, Lindström J, Lehsten V (2016) Effect of climate data on simulated carbon and nitrogen balances for Europe. J Geophys. Cal Res. Biogeosci. 121(5):1352–1371.
Bond W, Keeley J (2005) Fire as a global ‘herbivore’: the ecology and evolution of flammable ecosystems. Trends Ecol Evol 20(7):387–394.
Bradshaw RHW, Sykes MT (2014) From the past to the future. Wiley-Blackwell, p 334
Bugmann H (2001) A review of forest gap models. Clim Change 51:259–305
Calvo MM, Prentice IC (2015) Effects of fire and CO2 on biogeography and primary production in glacial and modern climates. New Phytol 208:987–994
Dionizio EA, Costa MH, de Almeida Castanho AD, Pires GF, Marimon BS, Marimon-Junior BH, Lenza E, Pimenta FM, Yang X, Jain AK (2018) Influence of climate variability, fire and phosphorus limitation on vegetation structure and dynamics of the Amazon-Cerrado border. Biogeosciences 15(3):919–936.
Forkel M, Carvalhais N, Verbesselt J, Mahecha M, Neigh C, Reichstein M (2013) Trend change detection in NDVI time series: effects of inter- annual variability and methodology. Remote Sensing 5(5):2113–2144.
Garreaud RD, Vuille M, Compagnucci R, Marengo J (2009) Present-day South American climate. Palaeogeogr Palaeoclimatol Palaeoecol 281(3–4):180–195.
Garreaud R, Lopez P, Minvielle M, Rojas M (2013) Large-scale control on the patagonian climate. J Clim 26(1):215–230.
Giglio L, Boschetti L, Roy DP, Humber ML, Justice CO (2018) The collection 6 MODIS burned area mapping algorithm and product. Remote Sens Environ 217:72–85.
Giglio L, Schroeder W, Justice CO (2016) The collection 6 MODIS active fire detection algorithm and fire products. Remote Sensing of Environ 178:31–41.
Harris I, Jones PD, Osborn TJ, Lister DH (2014) Updated high-resolution grids of monthly climatic observations—the CRU TS3.10 dataset. Inter J Climatol 34(3):623–642.
Haxeltine A, Prentice IC (1996) BIOME3: an equilibrium terrestrial bio- sphere model based on ecophysiological constraints, resource availability, and competition among plant functional types. Global Biogeochem Cycles 10(4):693–709.
Hickler T, Smith B, Sykes MT, Davis MB, Sugita S, Walker K (2004) Using a generalized vegetation model to simulate vegetation dynamics in northeastern usa. Ecology 85(2):519–530.
Hickler T, Rammig A, Werner C (2015) Modelling CO2 impacts on forest productivity. Curr for Reports 1(2):69–80.
Hijmans RJ, Cameron SE, Parra JL, Jones PG, Jarvis A (2005) Very high resolution interpolated climate surfaces for global land areas. Inter J Climatol 25(15):1965–1978.
Hirota M, Holmgren M, Nes EHV, Scheffer M (2011) Global resilience of tropical forest and savanna to critical transitions. Science 334(6053):232–235.
Gowda JH, Kitzberger T, Premoli AC (2011) Landscape responses to a century of land use along the northern Patagonian forest-steppe transition. Plant Ecol 213:259–272. https://doi.org/10.1007/s11258-011-9972-5
Kauwe MGD, Medlyn BE, Zaehle S, Walker AP, Dietze MC, Wang YP, Luo Y, Jain AK, El-Masri B, Hickler T, Wårlind D, Weng E, Parton WJ, Thornton PE, Wang S, Prentice IC, Asao S, Smith B, McCarthy HR, Iversen CM, Hanson PJ, Warren JM, Oren R, Norby RJ (2014) Where does the carbon go? A model–data intercomparison of vegetation carbon allocation and turnover processes at two temperate forest free-air CO2 enrichment sites. New Phytol 203(3):883–899.
Kitzberger T, Veblen TT (2003) Influence of climate on fire in northern Patagonia, Argentina. In: Baker WL, Montenegro G, Swetnam TW (eds) Fire regimes and climatic change in temperate ecosystem of the western Americas. Springer-Verlag, Berlin
Kitzberger T, Perry GLW, Paritsis J, Gowda JH, Tepley AJ, Holz A, Veblen TT (2016) Fire–vegetation feedbacks and alternative states: common mechanisms of temperate forest vulnerability to fire in southern South America and New Zealand. N Z J Bot 54(2):247–272
Kottek M, Grieser J, Beck C, Rudolf B, Rubel F (2006) World map of the Köppen-Geiger climate classification updated. Meteorol Z 15(3):259–263.
Olson DM, Dinerstein E, Wikramanayake ED, Burgess ND, Powell GVN, Underwood EC, Damico JA, Itoua I, Strand HE, Morrison JC, Loucks CJ, Allnutt TF, Ricketts TH, Kura Y, Lamoreux JF, Wettengel WW, Hedao P, Kassem KR (2001) Terrestrial ecoregions of the world: a new map of life on earth. Bioscience 51(11):933–933.
Paritsis J, Landesmann J, Kitzberger T, Tiribelli F, Sasal Y, Quintero C, Dimarco R, Barrios-García M, Iglesias A, Diez J, Sarasola M, Nuñez M (2018) Pine plantations and invasion alter fuel structure and potential fire behavior in a patagonian forest-steppe ecotone. Forests 9
Paruelo JM, Beltran AB, Jobbagy EG, Sala OE, Golluscio RA (1998) The climate of Patagonia: general patterns and controls on biotic processes. Ecol Aust 8:85–101
Pollmann W, Veblen TT (2004) Nothofagus regeneration dynamics in south-central Chile: a test of a general model. Ecol Monogr 74(4):615–634.
Sitch S, Friedlingstein P, Gruber N, Jones SD, Murray-Tortarolo G, Ahlström A, Doney SC, Graven H, Heinze C, Huntingford C, Levis S, Levy PE, Lomas M, Poulter B, Viovy N, Zaehle S, Zeng N, Arneth A, Bonan G, Bopp L, Canadell JG, Chevallier F, Ciais P, Ellis R, Gloor M, Peylin P, Piao SL, Quéré CL, Smith B, Zhu Z, Myneni R (2015) Recent trends and drivers of regional sources and sinks of carbon dioxide. Biogeosciences 12(3):653–679.
Sykes MT, Prentice IC, Cramer W (1996) A bioclimatic model for the potential distributions of north European tree species under present and future climates. J Biogeogr 23:203–233
Thonicke K, Venevsky S, Sitch S, Cramer W (2001) The role of fire disturbance for global vegetation dynamics: coupling fire into a dynamic global vegetation model. Glob Ecol Biogeogr 10(6):661–677.
Tucker CJ, Pinzon JE, Brown ME, Slayback DA, Pak EW, Mahoney R, Vermote EF, Saleous NE (2010) An extended AVHRR 8-km NDVI dataset compatible with MODIS and SPOT vegetation NDVI data. Int J Remote Sens 26:4485–4498
Van der Werf GR, Randerson JT, Giglio L, Collatz GJ, Mu M, Kasibhatla PS, Morton DC, DeFries RS, Jin YV, van Leeuwen TT (2010) Global fire emissions and the contribution of deforestation, savanna, forest, agricultural, and peat fires (1997-2009). Atmos Chem Phys 10:1170. https://doi.org/10.5194/acp-10-11707-2010
Veblen TT, Lorenz DC (1988) Recent vegetation changes along the forest/steppe ecotone of northern Patagonia. Ann Assoc Am Geogr 78(1):93–111.
Veblen TT, Donoso C, Kitzberger T, Rebertus AJ (1996) Ecology of southern chilean and argentinean nothofagus forests. In: Hill RS, Read J (eds) The ecology and biogeography of nothofagus forests. Yale University Press, New Haven
Veblen TT, Holz A, Paritsis J, Raffaele E, Kitzberger T, Blackhall M (2011) Adapting to global environmental change in Patagonia: What role for disturbance ecology? Austral Ecol 36(8):891–903.
Veblen TT, Kitzberger T, Villalba R, Donnegan J (1999) Fire history in northern Patagonia: the roles of humans and climatic variation. Ecol Monogr 69(1):47–67
Venevsky S, Thonicke K, Sitch S, Cramer W (2002) Simulating fire regimes in human-dominated ecosystems: Iberian peninsula case study. Glob Change Biol 8(10):984–998.
Wang T, Hamann A, Spittlehouse DL, Aitken SN (2006) Development of scale-free climate data for Western Canada for use in resource management. Int J Climatol 26(3):383–397.
Wramneby A, Smith B, Zaehle S, Sykes MT (2008) Parameter uncertainties in the modelling of vegetation dynamics—effects on tree community structure and ecosystem functioning in European forest biomes. Ecol Model 216(3–4):277–290.
Zhang Z, Zimmermann NE, Stenke A, Li X, Hodson EL, Zhu G, Huang C, Poulter B (2017) Emerging role of wetland methane emissions in driving 21st century climate change. Proc Natl Acad Sci 114(36):9647–9652. https://doi.org/10.1073/pnas.1618765114
Zhu Z, Piao S, Myneni RB, Huang M, Zeng Z, Canadell JG, Ciais P, Sitch S, Friedlingstein P, Arneth A, Cao C, Cheng L, Kato E, Koven C, Li Y, Lian X, Liu Y, Liu R, Mao J, Pan Y, Peng S, Peñuelas J, Poulter B, Pugh TAM, Stocker BD, Viovy N, Wang X, Wang Y, Xiao Z, Yang H, Zaehle S, Zeng N (2016) Greening of the earth and its drivers. Nat Clim Chang 6:791–795
Acknowledgements
Research was supported by National Science Foundation grants GSS 1461590. We thank T. Kitzberger, J. Paritsis, J. Gowda for their helpful suggestions in improving the manuscript and also for their contribution in parameterizing PFTs, tree species and grasses used for LPJ-GUESS simulation during the 2016 spring workshop in Bariloche, Argentina. This paper also benefited from the comments of Laura Burkle (Department of Ecology, Montana State University, Bozeman, USA)
Funding
This research was supported by the National Science Foundation Grant GSS 1461590.
Author information
Authors and Affiliations
Contributions
All authors contributed to the final manuscript. AO designed the research, processed the data, discussed the results, and contributed to the writing of the manuscript, JK contributed to the analysis of the results. CW contributed to funding the study, discussing results, and editing of the manuscript, WN contributed to the editing of the manuscript and discussing the results, BP contributed to funding the study, analysis of results and writing of the manuscript, DR contributed to the writing and analysis of the results. All authors discussed the results and drew the conclusions.
Corresponding author
Ethics declarations
Conflict of interest
The authors declared no conflict of interest.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Ogunkoya, A., Kaplan, J., Whitlock, C. et al. Drivers of recent forest cover change in southern South America are linked to climate and CO2. Landscape Ecol 36, 3591–3606 (2021). https://doi.org/10.1007/s10980-021-01330-7
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10980-021-01330-7