Using dynamic vegetation models to simulate plant range shifts

Ecography

Volumn 37, Issue 12, 2014, Pages 1184-1197

  Snell, R S ^a   Huth, A ^c   Nabel, J E M S ^a,d   Bocedi, G ^e   Travis, J M J ^e   Gravel, D ^f   Bugmann, H ^a   Gutierrez A G ^a,b   Hickler, T ^g,h,i   Higgins, S I ^j   Reineking, B ^k,l   Scherstjanoi, M ^d   Zurbriggen, N ^d   Lischke, H ^d  

^a ETH ZURICH   (Switzerland)

^b UNIVERSIDAD AUSTRAL DE CHILE   (Chile)

^c HELMHOLTZ CENTRE FOR ENVIRONMENTAL RESEARCH UFZ   (Germany)

^d SWISS FEDERAL RESEARCH INSTITUTE WSL   (Switzerland)

^e UNIVERSITY OF ABERDEEN   (United Kingdom)

^f UNIVERSITÉ DU QUÉBEC À RIMOUSKI   (Canada)

^g BIODIVERSITY AND CLIMATE RESEARCH CENTRE BIK F   (Germany)

^h GOETHE UNIVERSITY   (Germany)

ⁱ SENCKENBERG DEUTSCHES ENTOMOLOGISCHES INSTITUT   (Germany)

^j UNIVERSITY OF OTAGO   (New Zealand)

^k Cemagref   (France)

^l UNIVERSITY OF BAYREUTH   (Germany)

more..

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84913607041     PISSN: 09067590     EISSN: 16000587     Source Type: Journal    
DOI: 10.1111/ecog.00580     Document Type: Article

References (125)

1. Acevedo M. F. et al. 1995. Transition and gap models of forest dynamics. - Ecol. Appl. 5: 1040-1055.
2. Atkins K. E. and Travis J. M. J. 2010. Local adaptation and the evolution of species' ranges under climate change. - J. Theor. Biol. 266: 449-457.
3. Badeck F. W. et al. 2001. Tree species composition in European pristine forests: comparison of stand data to model predictions. - Clim. Change 51: 307-347.
4. Barbeito I. et al. 2012. Factors driving mortality and growth at treeline: a 30-year experiment of 92 000 conifers. - Ecology 93: 389-401.
5. Berger R. D. 1981. Comparison of the Gompertz and logistic equations to describe plant-disease progress. - Phytopathology 71: 716-719.
6. Bertrand R. et al. 2011. Changes in plant community composition lag behind climate warming in lowland forests. - Nature 479: 517-520.
7. Bigler C. and Bugmann H. 2004. Predicting the time of tree death using dendrochronological data. - Ecol. Appl. 14: 902-914.
8. Bocedi G. et al. 2012. Projecting species' range expansion dynamics: sources of systematic biases when scaling up patterns and processes. - Methods Ecol. Evol. 3: 1008-1018.
9. Bocedi G. et al. 2013. Effects of local adaptation and inter-specific interactions on species' responses to climate change. - Ann. N. Y. Acad. Sci. in press.
10. Bodin J. et al. 2013. Shifts of forest species along an elevational gradient in southeast France: climate change or stand maturation?- J. Veg. Sci. 24: 269-283.
11. Borges R. M. 2009. Phenotypic plasticity and longevity in plants and animals: cause and effect?- J. Biosci. 34: 605-611.
12. Bugmann H. 2001. A review of forest gap models. - Clim. Change 51: 259-305.
13. Bugmann H. and Bigler C. 2011. Will the CO2 fertilization effect in forests be offset by reduced tree longevity?- Oecologia 165: 533-544.
14. Bullock J. M. et al. 2011. Process-based functions for seed retention on animals: a test of improved descriptions of dispersal using multiple data sets. - Oikos 120: 1201-1208.
15. Bullock J. M. et al. 2012. Modelling spread of British wind-dispersed plants under future wind speeds in a changing climate. - J. Ecol. 100: 104-115.
16. Bykova O. et al. 2012. Temperature dependence of the reproduction niche and its relevance for plant species distributions. - J. Biogeogr. 39: 2191-2200.
17. Carlo T. A. et al. 2013. Where do seeds go when they go far? Distance and directionality of avian seed dispersal in heterogeneous landscapes. - Ecology 94: 301-307.
18. Charrier G. et al. 2013. Evaluation of the impact of frost resistances on potential altitudinal limit of trees. - Tree Physiol. 33: 891-902.
19. Clark J. S. et al. 2001. Invasion by extremes: population spread with variation in dispersal and reproduction. - Am. Nat. 157: 537-554.
20. Cramer W. et al. 2001. Global response of terrestrial ecosystem structure and function to CO2 and climate change: results from six dynamic global vegetation models. - Global Change Biol. 7: 357-373.
21. Crimmins S. M. et al. 2011. Changes in climatic water balance drive downhill shifts in plant species' optimum elevations. - Science 331: 324-327.
22. Dawes M. A. et al. 2011. Species-specific tree growth responses to 9 years of CO2 enrichment at the alpine treeline. - J. Ecol. 99: 383-394.
23. Dormann C. F. et al. 2012. Correlation and process in species distribution models: bridging a dichotomy. - J. Biogeogr. 39: 2119-2131.
24. Dullinger S. et al. 2012. Extinction debt of high-mountain plants under twenty-first-century climate change. - Nat. Clim. Change 2: 619-622.
25. Engler R. et al. 2012. The MIGCLIM R package - seamless integration of dispersal constraints into projections of species distribution models. - Ecography 35: 872-878.
26. Epstein H. E. et al. 2007. Simulating future changes in Arctic and subarctic vegetation. - Comput. Sci. Eng. 9: 12-23.
27. Germino M. J. et al. 2002. Conifer seedling distribution and survival in an alpine-treeline ecotone. - Plant Ecol. 162: 157-168.
28. Gravel D. et al. 2010. Shade tolerance, canopy gaps and mechanisims of coexistence of forest trees. - Oikos 119: 475-484.
29. Groeneveld J. et al. 2009. The impact of fragmentation and density regulation on forest succession in the Atlantic rain forest. - Ecol. Model. 220: 2450-2459.
30. Guisan A. and Thuiller W. 2005. Predicting species distribution: offering more than simple habitat models. - Ecol. Lett. 8: 993-1009.
31. Gunderson C. A. et al. 2000. Acclimation of photosynthesis and respiration to simulated climatic warming in northern and southern populations of Acer saccharum: laboratory and field evidence. - Tree Physiol. 20: 87-96.
32. Hampe A. 2004. Bioclimatic envelope models: what they detect and what they hide. - Global Ecol. Biogeogr. 13: 469-471.
33. Hartig F. et al. 2012. Connecting dynamic vegetation models to data - an inverse perspective. - J. Biogeogr. 39: 2240-2252.
34. Heikkinen R. K. et al. 2006. Methods and undertainties in bioclimatic envelope modelling under climate change. - Prog. Phys. Geogr. 30: 751-777.
35. Heiri C. et al. 2009. Forty years of natural dynamics in Swiss beech forests: structure, composition, and the influence of former management. - Ecol. Appl. 19: 1920-1934.
36. Henne P. D. et al. 2011. Did soil development limit spruce (Picea abies) expansion in the central Alps during the Holocene? Testing a palaeobotanical hypothesis with a dynamic landscape model. - J. Biogeogr. 38: 933-949.
37. Hickler T. et al. 2006. Implementing plant hydraulic architecture within the LPJ dynamic global vegetation model. - Global Ecol. Biogeogr. 15: 567-577.
38. Hickler T. et al. 2012. Projecting the future distribution of European potential natural vegetation zones with a generalized, tree species-based dynamic vegetation model. - Global Ecol. Biogeogr. 21: 50-63.
39. Huntley B. 1991. How plants respond to climate change - migration rates, individualism and the consequences for plant-communities. - Ann. Bot. 67: 15-22.
40. Hurtt G. C. et al. 2010. Linking models and data on vegetation structure. - J. Geophys. Res. 115: G00E10.
41. Ishizuka W. and Goto S. 2012. Modeling intraspecific adaptation of Abies sachalinensis to local altitude and responses to global warming, based on a 36-year reciprocal transplant experiment. - Evol. Appl. 5: 229-244.
42. Jump A. S. et al. 2009. The altitude-for-latitude disparity in the range retractions of woody species. - Trends Ecol. Evol. 24: 694-701.
43. Jump A. S. et al. 2012. Rapid altitudinal migration of mountain plants in Taiwan and its implications for high altitude biodiversity. - Ecography 35: 204-210.
44. Kattge J. et al. 2011. TRY - a global database of plant traits. - Global Change Biol. 17: 2905-2935.
45. Katul G. G. et al. 2005. Mechanistic analytical models for long-distance seed dispersal by wind. - Am. Nat. 166: 368-381.
46. Keenan T. et al. 2011. Predicting the future of forests in the Mediterranean under climate change, with niche- and process-based models: CO2 matters!- Global Change Biol. 17: 565-579.
47. Kissling W. D. et al. 2012. Towards novel approaches to modelling biotic interactions in multispecies assemblages at large spatial extents. - J. Biogeogr. 39: 2163-2178.
48. Koca D. et al. 2006. Modelling regional climate change effects on potential natural ecosystems in Sweden. - Clim. Change 78: 381-406.
49. Koenig W. D. and Knops J. M. H. 2005. The mystery of masting in trees. - Am. Sci. 93: 340-347.
50. Köhler P. and Huth A. 1998. The effects of tree species grouping in tropical rainforest modelling: simulations with the individual-based model FORMIND. - Ecol. Model. 109: 301-321.
51. Köhler P. and Huth A. 2007. Impacts of recruitment limitation and canopy disturbance on tropical tree species richness. - Ecol. Model. 203: 511-517.
52. Köhler P. et al. 2000. Concepts for the aggregation of tropical tree species into functional types and the application to Sabah's lowland rain forests. - J. Trop. Ecol. 16: 591-602.
53. Körner C. 2012. Alpine treelines. Functional ecology of the global high elevation tree limits. - Springer.
54. Kuparinen A. 2006. Mechanistic models for wind dispersal. - Trends Plant Sci. 11: 296-301.
55. Ladeau S. L. and Clark J. S. 2006. Elevated CO2 and tree fecundity: the role of tree size, interannual variability, and population heterogeneity. - Global Change Biol. 12: 822-833.
56. Lavigne M. B. and Ryan M. G. 1997. Growth and maintenance respiration rates of aspen, black spruce and jack pine stems at northern and southern BOREAS sites. - Tree Physiol. 17: 543-551.
57. Lavorel S. and Garnier E. 2002. Predicting changes in community composition and ecosystem functioning from plant traits: revisiting the Holy Grail. - Funct. Ecol. 16: 545-556.
58. Lenka N. K. and Lal R. 2012. Soil-related constraints to the carbon dioxide fertilization effect. - Crit. Rev. Plant Sci. 31: 342-357.
59. Linder H. P. et al. 2012. Biotic modifiers, environmental modulation and species distribution models. - J. Biogeogr. 39: 2179-2190.
60. Lischke H. 2001. New developments in forest modeling: convergence between applied and theoretical approaches. - Nat. Resour. Model. 14: 71-102.
61. Lischke H. et al. 1997. Calculating temperature dependence over long time periods: derivation of methods. - Ecol. Model. 98: 105-122.
62. Lischke H. et al. 1998. Aggregation of individual trees and patches in forest succession models - capturing variability with height structured random dispersions. - Theor. Popul. Biol. 54: 213-226.
63. Lischke H. et al. 2006. TreeMig: a forest-landscape model for simulating spatio-temporal patterns from stand to landscape scale. - Ecol. Model. 199: 409-420.
64. Lischke H. et al. 2007. Model up-scaling in landscape research. - In: Kienast F.et al.(eds), A changing world: challenges for landscape research. Kluwer, pp. 259-282.
65. Little E. L.Jr 1971. Atlas of United States trees, Volume 1, conifers and important hardwoods. - U. S. Dept of Agriculture Miscellaneous Publication 1146.
66. Loarie S. R. et al. 2009. The velocity of climate change. - Nature 462: 1052-1055.
67. Löffler T. J. and Lischke H. 2001. Incorporation and influence of variability in an aggregated forest model. - Nat. Resour. Model. 14: 103-137.
68. Macalady A. K. and Bugmann H. 2014. Growth-mortality relationships in Pinus edulis reveal shifting mortality thresholds and climate sensitivity across warmer and cooler droughts. - PLoS Onein press.
69. McDowell N. G. et al. 2013. Improving our knowledge of drought-induced forest mortality through experiments, observations, and modeling. - New Phytol. 200: 289-293.
70. McGuire A. D. et al. 2001. Carbon balance of the terrestrial biosphere in the twentieth century: analyses of CO2, climate and land use effects with four process-based ecosystem models. - Global Biogeochem. Cycle 15: 183-206.
71. Meier E. S. et al. 2012. Climate, competition and connectivity affect future migration and ranges of European trees. - Global Ecol. Biogeogr. 21: 164-178.
72. Meiners S. J. et al. 2000. Tree seedling establishment under insect herbivory: edge effects and interannual variation. - Plant Ecol. 151: 161-170.
73. Melbourne B. A. and Chesson P. 2006. The scale transition: scaling up population dynamics with field data. - Ecology 87: 1478-1488.
74. Milbau A. et al. 2009. Effects of a warmer climate on seed germination in the subarctic. - Ann. Bot. 104: 287-296.
75. Morales J. M. et al. 2013. Frugivore behavioural details matter for seed dispersal: a multi-species model for cantabrian thrushes and trees. - PLoS One 8: e65216
76. Mustin K. et al. 2013. Red noise increases extinction risk during climate change. - Divers. Distrib.doi: 10.1111/ddi.12038
77. Myster R. W. 2009. Tree seedling survivorship, growth, and allocation in the Cross Timbers ecotone of Oklahoma, USA. - Plant Ecol. 205: 193-199.
78. Nabel J. E. M. S. and Lischke H. 2013. Upscaling of spatially explicit and linked time and space discrete models studying vegetation dynamics under climate change. - In: Page B.et al.(eds), 27th International Conference on Informatics for Environmental Protection. Shaker, pp. 842-850.
79. Nabel J. E. M. S. et al. 2012. Impact of species parameter uncertainty in simulations of tree species migration with a spatially linked dynamic model. - In: Seppelt R.et al.(eds), International Congress on Environmental Modelling and Software: Managing Resources of a Limited Planet, Sixth Biennial Meeting International Environmental Modelling and Software Society (iEMSs).
80. Nabel J. E. M. S. et al. 2013. Interannual climate variability and population density thresholds can have a substantial impact on simulated tree species' migration. - Ecol. Model. 257: 88-100.
81. Nathan R. et al. 2008. Mechanisms of long-distance seed dispersal. - Trends Ecol. Evol. 23: 638-647.
82. Nathan R. et al. 2011. Mechanistic models of seed dispersal by wind. - Theor. Ecol. 4: 113-132.
83. Normand S. et al. 2011. Postglacial migration supplements climate in determining plant species ranges in Europe. - Proc. R. Soc. B 278: 3644-3653.
84. Peñuelas J. et al. 2008. Twentieth century changes of tree-ring delta C-13 at the southern range-edge of Fagus sylvatica: increasing water-use efficiency does not avoid the growth decline induced by warming at low altitudes. - Global Change Biol. 14: 1076-1088.
85. Perez-Ramos I. M. et al. 2010. Mast seeding under increasing drought: results from a long-term data set and from a rainfall exclusion experiment. - Ecology 91: 3057-3068.
86. Peringer A. and Rosenthal G. 2011. Establishment patterns in a secondary tree line ecotone. - Ecol. Model. 222: 3120-3131.
87. Purves D. W. et al. 2008. Predicting and understanding forest dynamics using a simple tractable model. - Proc. Natl Acad. Sci. USA 105: 17018-17022.
88. Quillet A. et al. 2010. Toward dynamic global vegetation models for simulating vegetation-climate interactions and feedbacks: recent developments, limitations, and future challenges. - Environ. Rev. 18: 333-353.
89. Sakai A. et al. 2003. Altitudinal variation in lifetime growth trajectory and reproductive schedule of a sub-alpine conifer, Abies mariesii. - Evol. Ecol. Res. 5: 671-689.
90. Sato H. et al. 2007. SEIB-DGVM: a new dynamic global vegetation model using a spatially explicit individual-based approach. - Ecol. Model. 200: 279-307.
91. Schauber E. M. et al. 2002. Masting by eighteen New Zealand plant species: the role of temperature as a synchronizing cue. - Ecology 83: 1214-1225.
92. Scheiter S. and Higgins S. I. 2009. Impacts of climate change on the vegetation of Africa: an adaptive dynamic vegetation modelling approach. - Global Change Biol. 15: 2224-2246.
93. Scheiter S. et al. 2013. Next-generation dynamic global vegetation models: learning from community ecology. - New Phytol. 198: 957-969.
94. Scheller R. M. and Mladenoff D. J. 2007. An ecological classification of forest landscape simulation models: tools and strategies for understanding broad-scale forested ecosystems. - Landscape Ecol. 22: 491-505.
95. Scheller R. M. and Mladenoff D. J. 2008. Simulated effects of climate change, fragmentation, and inter-specific competition on tree species migration in northern Wisconsin, USA. - Clim. Res. 36: 191-202.
96. Scherrer D. and Körner C. 2010. Infra-red thermometry of alpine landscapes challenges climatic warming projections. - Global Change Biol. 16: 2602-2613.
97. Scherstjanoi M. 2013. Towards an efficient plant physiology-based modeling of spatial forest dynamics. - PhD thesis, École Polytechnique Fédérale de Lausanne.
98. Scherstjanoi M. et al. 2013. GAPPARD: a computationally efficient method of approximating gap-scale disturbance in vegetation models. - Geosci. Model Dev. 6: 1517-1542.
99. Schiffers K. et al. 2013. Limited evolutionary rescue of locally adapted populations facing climate change. - Phil. Trans. R. B 368: 20120083.
100. Schumacher S. and Bugmann H. 2006. The relative importance of climatic effects, wildfires and management for future forest landscape dynamics in the Swiss Alps. - Global Change Biol. 12: 1435-1450.
101. Simonis D. et al. 2012. Reconstruction of late Glacial and Early Holocene near surface temperature anomalies in Europe and their statistical interpretation. - Quat. Int. 274: 233-250.
102. Sitch S. et al. 2003. Evaluation of ecosystem dynamics, plant geography and terrestrial carbon cycling in the LPJ dynamic global vegetation model. - Global Change Biol. 9: 161-185.
103. Sitch S. et al. 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.
104. Snell R. S. 2014. Simulating long distance seed dispersal in a dynamic vegetation model. - Global Ecol. Biogeogr. 23: 89-98.
105. Stephenson C. M. et al. 2007. Testing mechanistic models of seed dispersal for the invasive Rhododendron ponticum (L.). - Perspect. Plant Ecol. Evol. Syst. 9: 15-28.
106. Svenning J. C. and Sandel B. 2013. Disequilibrium vegetation dynamics under future climate change. - Am. J. Bot. 100: 1266-1286.
107. Svenning J. C. et al. 2014. The influence of interspecific interactions on species range expansion rates. - Ecography 37: 1198-1209.
108. Thomas S. C. 2011. Age-related changes in tree growth and functional biology: the role of reproduction. - In: Meinzer F. C.et al.(eds), Size- and age-related changes in tree structure and function. Springer, pp. 33-64.
109. Thompson S. E. and Katul G. G. 2013. Implications of nonrandom seed abscission and global stilling for migration of wind-dispersed plant species. - Global Change Biol. 19: 1720-1735.
110. Thuiller W. et al. 2008. Predicting global change impacts on plant species' distributions: future challenges. - Perspect. Plant Ecol. Evol. Syst. 9: 137-152.
111. Thuiller W. et al. 2013. A road map for integrating eco-evolutionary processes into biodiversity models. - Ecol. Lett. 16: 94-105.
112. Travis J. M. J. et al. 2013. Dispersal and species' responses to climate change. - Oikosin press.
113. van Oijen M. et al. 2005. Bayesian calibration of process-based forest models: bridging the gap between models and data. - Tree Physiol. 25: 915-927.
114. Venn S. E. et al. 2009. Do facilitative interactions with neighboring plants assist the growth of seedlings at high altitudes in alpine Australia?- Arct. Antarct. Alp. Res. 41: 381-387.
115. Vittoz P. and Engler R. 2007. Seed dispersal distances: a typology based on dispersal modes and plant traits. - Bot. Helv. 117: 109-124.
116. Walther G. R. et al. 2005. An ecological 'footprint' of climate change. - Proc. R. Soc. B 272: 1427-1432.
117. Wehrli A. et al. 2007. Improving the establishment submodel of a forest patch model to assess the long-term protective effect of mountain forests. - Eur. J. For. Res. 126: 131-145.
118. Williams J. W. and Jackson S. T. 2007. Novel climates, no-analog communities, and ecological surprises. - Front. Ecol. Environ. 5: 475-482.
119. Williams J. W. et al. 2004. Late-quaternary vegetation dynamics in North America: scaling from taxa to biomes. - Ecol. Monogr. 74: 309-334.
120. Wu J. G. and David J. L. 2002. A spatially explicit hierarchical approach to modeling complex ecological systems: theory and applications. - Ecol. Model. 153: 7-26.
121. Wunder J. et al. 2008. Growth-mortality relationships as indicators of life-history strategies: a comparison of nine tree species in unmanaged European forests. - Oikos 117: 815-828.
122. Wyckoff P. H. and Clark J. S. 2002. The relationship between growth and mortality for seven co-occurring tree species in the southern Appalachian Mountains. - J. Ecol. 90: 604-615.
123. Zhao M. F. et al. 2013. Plant phenological modeling and its application in global climate change research: overview and future challenges. - Environ. Rev. 21: 1-14.
124. Zhu K. et al. 2012. Failure to migrate: lack of tree range expansion in response to climate change. - Global Change Biol. 18: 1042-1052.
125. Zurbriggen N. et al. 2013. Performance of germinating tree seedlings below and above treeline in the Swiss Alps. - Plant Ecol. 214: 385-396.