Uncertainty in assessing the impacts of global change with coupled dynamic species distribution and population models

Global Change Biology

Volumn 19, Issue 3, 2013, Pages 858-869

  Conlisk, Erin ^a   Syphard, Alexandra D ^b   Franklin, Janet ^c   Flint, Lorraine ^d   Flint, Alan ^d   Regan, Helen ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b Conservation Biology Institute ^*  (United States)

^c ARIZONA STATE UNIVERSITY   (United States)

^d U S GEOLOGICAL SURVEY   (United States)

Author keywords

Annual plant; Climate change; Conservation management; Coupled model; Habitat suitability; Invasive plants; Land use change; Uncertainty

Indexed keywords

ANNUAL PLANT; BIODIVERSITY; CLIMATE CHANGE; CLIMATE EFFECT; ENDANGERED SPECIES; GLOBAL CHANGE; LAND USE CHANGE; PARAMETERIZATION; POPULATION DENSITY; SENSITIVITY ANALYSIS; SPECIES DIVERSITY; UNCERTAINTY ANALYSIS;

ARTICLE; BIODIVERSITY; CLIMATE CHANGE; POPULATION DYNAMICS; THEORETICAL MODEL; UNCERTAINTY;

BIODIVERSITY; CLIMATE CHANGE; MODELS, THEORETICAL; POPULATION DYNAMICS; UNCERTAINTY;

ACANTHOMINTHA ILICIFOLIA;

EID: 84873188810     PISSN: 13541013     EISSN: 13652486     Source Type: Journal    
DOI: 10.1111/gcb.12090     Document Type: Article

References (63)

1. Ackerly DD, Loarie SR, Cornwell WK, Weiss SB, Hamilton H, Branciforte R, Kraft NJB (2010) The geography of climate change: implications for conservation biogeography. Diversity and Distributions, 16, 476-487.
2. Akçakaya HR, Root W (2005) RAMAS GIS: Linking Spatial Data with Population Viability Analysis. Applied Biomathematics, Setauket, New York.
3. Anderson BJ, Akçakaya HR, Araújo MB, Fordham DA, Martinez-Meyer E, Thuiller W, Brook B (2009) Dynamics of range margins for metapopulations under climate change. Proceedings of the Royal Society B: Biological Sciences, 276, 1415-1420.
4. Araújo MB, New M (2007) Ensemble forecasting of species distributions. Trends in Ecology and Evolution, 22, 42-47.
5. Bauder ET, Sakrison JA (1997) Autecology of San Diego thornmint (Acanthomintha ilicifolia). Final report to California Department of Fish and Game, Region 5, Borrego Springs, CA
6. Bauder ET, Sakrison JA (1999) Mechanisms of persistence of San Diego thornmint (Acanthomintha ilicifolia). Final Report to California Department of Fish and Game, Region 5. Borrego Springs, CA.
7. Bauder ET, McMillan S, Kemp P (1994) Surveys and assessment of known Acathomintha ilicifolia populations. California Department of Fish and Game, Sacramento, CA.
8. Bowman DMJS, Murphy B (2010) Australia - a model system for the development of pyrogeography. Fire Ecology, 7, 5-12.
9. Bowman DMJS, Blach JK, Artaxo P, Bond WJ, Carlson JM, Cochrane MA (2009) Fire in the Earth System. Science, 324, 481-484.
10. Breiman L (2001) Random forests. Machine Learning, 45, 5-32.
11. Brook BW, O'Grady JJ, Chapman AP, Burgman MA, Akçakaya HR, Frankham R (2000) Predictive accuracy of population viability analysis in conservation biology. Nature, 404, 385-387.
12. Buisson L, Thuiller W, Casajuss N, Lek S, Grenoillet G (2010) Uncertainty in ensemble forecasting of species distribution. Global Change Biology, 16, 1148-1157.
13. Cayan DR, Maurer EP, Dettinger MD, Tyree M, Hayhoe K (2008) Climate change scenarios for the California region. Climatic Change, 87, S21-S42.
14. Conlisk E, Lawson D, Syphard A, Franklin J, Flint L, Flint A, Regan H (2012) The roles of dispersal, fecundity, and predation on the population of an oak (Quercus engelmannii) under global change. PLoS ONE, 7, e36391.
15. Cutler DR, Edwards TC Jr, Beard KH, Cutler A, Hess KT, Gibson J, Lawler JJ (2007) Random forests for classification in ecology. Ecology, 88, 2783-2792.
16. Daly C, Halbleib M, Smith JI et al. (2008) Physiographically sensitive mapping of climatological temperature and precipitation across the coterminous United States. International Journal of Climatology, 28, 2031-2064.
17. Diniz-Filho JAF, Bini LM, Rangel TF, Loyola RD, Hof C, Nogues-Bravo D, Araújo MB (2009) Partitioning and mapping uncertainties in ensembles of forecasts of species turnover under climate change. Ecography, 32, 897-906.
18. Dullinger S, Gattringer A, Thuiller W et al. (2012) Extinction debt of high-mountain plants under 21st-century climate change. Nature Climate Change, 2, 619-622.
19. Dunham AE, Akçakaya R, Bridges TS (2006) Using scalar models for precautionary assessment of threatened species. Conservation Biology, 20, 1499-1506.
20. Elith J, Graham C (2009) Do they? How do they? WHY do they differ? On finding reasons for differing performances of species distribution models. Ecography, 32, 1-12.
21. Elith J, Graham CH, Anderson RP et al. (2006) Novel methods improve predictions of species' distributions with occurrence data. Ecography, 29, 129-151.
22. Elith J, Kearney M, Phillips S (2010) The art of modelling range-shifting species. Methods in Ecology and Evolution, 1, 330-342.
23. Elith J, Phillips SJ, Hastie T, Dudik M, Chee YE, Yates CJ (2011) A statistical explanation of MaxEnt for ecologists. Diversity And Distributions, 17, 43-57.
24. Flint LE, Flint AL (2012) Downscaling future climate scenarios to fine scales for hydrologic and ecological modeling and analysis. Ecological Processes, 1, 1-15.
25. Fordham DA, Watts MJ, Delean S, Brook BW, Heard LMB, Bull CM (2012a) Managed relocation as an adaptation strategy for mitigating climate change threats to the persistence of an endangered lizard. Global Change Biology, 18, 2743-2755.
26. Fordham DA, Akcakaya HR, Araújo MB, Elith J, Keith DA, Pearson R et al. (2012b) Plant extinction risk under climate change: are forecast range shifts an indicator of species vulnerability to global warming? Global Change Biology, 18, 1357-1371.
27. Franklin J (2010) Mapping Species Distributions: Spatial Inference and Prediction. Cambridge University Press, New York.
28. Freeman EA, Moisen GG (2008) A comparison of the performance of threshold criteria for binary classification in terms of predicted prevalence. Ecological Modelling, 217, 48-58.
29. Gallien L, Munkemuller T, Albert CH, Boulangeat I, Thuiller W (2010) Predicting potential distributions of invasive species: where to go from here? Diversity and Distributions, 16, 331-342.
30. Garcia RA, Burgess ND, Cabeza M, Rahbek C, Araújo MB (2012) Exploring consensus in 21st century projections of climatically suitable areas for African vertebrates. Global Change Biology, 18, 1253-1269.
31. Goodchild MF (1994) Integrating GIS and remote sensing for vegetation analysis and modeling: methodological issues. Journal of Vegetation Science, 5, 615-626.
32. Heikkinen RK, Marmion M, Luoto M (2012) Does the interpolation accuracy of species distribution models come at the expense of transferability? Ecography, 35, 276-288.
33. IPCC (2007) Climate change 2007: The physical science basis. In: Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change (eds Solomon S, Qin D, Manning M, Chen Z, Marquis M, Averyt KB, Tignor M, Miller HL). Cambridge University Press, Cambridge, UK and New York, NY.
34. Iverson LR, Prasad AM, Matthews SN, Peters M (2008) Estimating potential habitat for 134 eastern US tree species under six climate scenarios. Forest Ecology and Management, 254, 390-406.
35. Keith DA, Akçakaya R, Thuiller W et al. (2008) Predicting extinction risks under climate change: coupling stochastic population models with dynamic bioclimatic habitat models. Biology Letters, 4, 560-563.
36. Landis JD, Reilley M (2003) How we will grow: Baseline projections of the growth of California's urban footprint through the year 2100. California Energy Commission's working paper 2003-04. Available at: http://escholarship.org/uc/item/8ff3q0ns;jsessionid=25C33BD3FD724876F0BA0A9B6FDC83A9 (accessed 21 December 2011)
37. Langford WT, Gordon A, Bastin L, Bekessy SA, White MD, Newell G (2011) Raising the bar for systematic conservation planning. Trends in Ecology and Evolution, 26, 634-640.
38. Lawler JJ, Shafer SL, White D, Kareiva P, Maurer EP, Blaustein AR, Bartlein PJ (2009) Projected climate-induced faunal changes in the Western Hemisphere. Ecology, 90, 588-597.
39. Lawson DM, Regan HM, Zedler PH, Franklin J (2010) Cumulative effects of land use, altered fire regime and climate change on persistence of Ceanothus verrucosus, a rare, fire-dependent plant species. Global Change Biology, 16, 2518-2529.
40. Loarie SR, Carter BE, Hayhoe K, McMahon S, Moe R, Knight CA, Ackerly DD (2008) Climate change and the future of California's endemic flora. PLoS ONE, 3, e2502.
41. Ludwig D (1999) Is it meaningful to estimate a probability of extinction? Ecology, 80, 298-310.
42. McCarthy MA, Andelman SJ, Possingham HP (2003) Reliability of relative predictions in population viability analysis. Conservation Biology, 17, 982-989.
43. Medler MJ (2010) Pyrogeography: Mapping and understanding the spatial patterns of wildfire. Geospatial Technologies and the Environment, 3, 29-47.
44. Midgley GF, Davies ID, Albert CH et al. (2010) BioMove - an integrated platform simulating the dynamic response of species to environmental change. Ecography, 33, 612-616.
45. Miller NL, Hayhoe K, Jin J, Auffhammer M (2008) Climate, extreme heat, and electricity demand in California. Journal of Applied Meteorology and Climatology, 47, 1834-1844.
46. Murphy JM, Sexton DMH, Barnett DN et al. (2004) Quantification of modelling uncertainties in a large ensemble of climate change simulations. Nature, 430, 768-772.
47. NCEAS 2264: Murdoch: Complex Population Dynamics, National Center for Ecological Analysis and Synthesis, and Prendergast J. The Global Population Dynamics Database. (http://knb.ecoinformatics.org/knb/metacat/nceas.167.15/nceas) (accessed 30 April 2012).
48. Pearson RG, Thuiller W, Araújo MB et al. (2006) Model-based uncertainty in species' range prediction. Journal of Biogeography, 33, 1704-1711.
49. Phillips SJ, Anderson RP, Schapire RE (2006) Maximum entropy modelling of species geographic distributions. Ecological Modelling, 190, 231-259.
50. Polakow D, Bond W, Lindenberg N, Dunne T (1999) Ecosystem engineering as a consequence of natural selection: methods for testing Mutch's hypothesis from a comparative study of fire hazard rates. Bushfire 99-Australian Bushfire Conference (eds Lunt I, Green D, Lord B). Charles Sturt University, Albury, Australia.
51. Prasad AM, Iverson LR, Liaw A (2006) Newer classification and regression techniques: bagging and random forests for ecological prediction. Ecosystems, 9, 181-199.
52. Raupach MR, Marland G, Ciais P, Le Quere C, Canadell JG, Klepper G, Field CB (2007) Global and regional drivers of accelerating CO2 emissions. Proceedings of the National Academy of Sciences of the United States of America, 104, 10288-10293.
53. Regan HM, Syphard A, Franklin J, Swab R, Markovchick L, Flint A et al. (2011) Evaluation of assisted colonization strategies under global change for a fire-dependent plant. Global Change Biology, 18, 936-947.
54. Sork VL, Davis FW, Westfall R, Flint A, Ikegami M, Wang HF, Grivet D (2010) Gene movement and genetic association with regional climate gradients in California valley oak (Quercus lobata Nee) in the face of climate change. Molecular Ecology, 19, 3806-3823.
55. Syphard AD, Franklin J (2009) Differences in spatial predictions among species distribution modeling methods vary with species traits and environmental predictors. Ecography, 32, 907-918.
56. Syphard AD, Radeloff VC, Keeley JE, Hawbaker TJ, Clayton MK, Stewart SI, Hammer RB (2007) Human influence on California fire regimes. Ecological Applications, 17, 1388-1402.
57. Syphard AD, Clarke KC, Franklin J, Regan HM, McGinnis M (2011) Forecasts of habitat loss and fragmentation due to urban growth are sensitive to source of input data. Journal of Environmental Management, 92, 1882-1893.
58. Taylor BL (1995) The reliability of using population viability analysis for risk classification of species. Conservation Biology, 9, 551-558.
59. Thuiller W (2004) Patterns and uncertainties of species' range shifts under climate change. Global Change Biology, 10, 2020-2027.
60. Thuiller W, Albert C, Araújo MB et al. (2008) Predicting global change impacts on plant species' distributions: Future challenges. Perspectives in Plant Ecology Evolution and Systematics, 9, 137-152.
61. US Fish and Wildlife Five-Year Review, Five-Year Review of Acanthomintha ilicifolia: Summary and Evaluation (2009). US Fish and Wildlife Service, Carlsbad Fish and Wildlife Office, Carlsbad, CA.
62. Wells ML, O'Leary JF, Franklin J, Michaelsen J, McKinsey DE (2004) Variations in a regional fire regime related to vegetation type in San Diego County, California. Landscape Ecology, 19, 139-152.
63. Westerling AL, Bryant BP (2008) Climate change and wildfire in California. Climatic Change, 87, S231-S249.