Back to the future: Using historical climate variation to project near-term shifts in habitat suitable for coast redwood

Global Change Biology

Volumn 21, Issue 11, 2015, Pages 4141-4152

  Fernández, Miguel ^a,b,c   Hamilton, Healy H ^d   Kueppers, Lara M ^a,e  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c GERMAN CENTRE FOR INTEGRATIVE BIODIVERSITY RESEARCH IDIV HALLE JENA LEIPZIG   (Germany)

^d NATURESERVE   (United States)

^e LAWRENCE BERKELEY NATIONAL LABORATORY   (United States)

Author keywords

Climate change adaptation; Climate change sensitivity; Climatic analogs; MaxEnt; Range shifts; Sequoia sempervirens

Indexed keywords

CLIMATE MODELING; CLIMATE VARIATION; CONIFEROUS TREE; DOWNSCALING; ECOSYSTEM RESPONSE; GLOBAL CLIMATE; HABITAT TYPE; HISTORICAL PERSPECTIVE; TERRESTRIAL ECOSYSTEM;

CALIFORNIA; UNITED STATES;

SEQUOIA SEMPERVIRENS;

CALIFORNIA; CLIMATE CHANGE; ECOSYSTEM; ENVIRONMENTAL PROTECTION; PHYSIOLOGY; PLANT DISPERSAL; PROCEDURES; SEQUOIA;

CALIFORNIA; CLIMATE CHANGE; CONSERVATION OF NATURAL RESOURCES; ECOSYSTEM; PLANT DISPERSAL; SEQUOIA;

EID: 84944080686     PISSN: 13541013     EISSN: 13652486     Source Type: Journal    
DOI: 10.1111/gcb.13027     Document Type: Article

References (77)

1. Abatzoglou JT (2013) Development of gridded surface meteorological data for ecological applications and modelling. International Journal of Climatology, 33, 121-131.
2. Abatzoglou JT, Brown TJ (2012) A comparison of statistical downscaling methods suited for wildfire applications. International Journal of Climatology, 32, 772-780.
3. Abatzoglou JT, Redmond KT, Edwards LM (2009) Classification of regional climate variability in the state of California. Journal of Applied Meteorology and Climatology, 48, 1527-1541.
4. Ahmed KF, Wang G, Silander J, Wilson AM, Allen JM, Horton R, Anyah R (2013) Statistical downscaling and bias correction of climate model outputs for climate change impact assessment in the US northeast. Global and Planetary Change, 100, 320-332.
5. Allouche O, Tsoar A, Kadmon R (2006) Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS). Journal of Applied Ecology, 43, 1223-1232.
6. Aronson EL, McNulty SG (2009) Appropriate experimental ecosystem warming methods by ecosystem, objective, and practicality. Agricultural and Forest Meteorology, 149, 1791-1799.
7. Bakun A (1990) Global climate change and intensification of coastal ocean upwelling. Science, 247, 198-201.
8. Bakun A, Field DB, Redondo-Rodriguez A, Weeks SJ (2010) Greenhouse gas, upwelling-favorable winds, and the future of coastal ocean upwelling ecosystems. Global Change Biology, 16, 1213-1228.
9. Burgess SSO, Dawson TE (2004) The contribution of fog to the water relations of Sequoia sempervirens (D. Don): foliar uptake and prevention of dehydration. Plant, Cell & Environment, 27, 1023-1034.
10. Chapman AD, Wieczorek J (2006) Guide to Best Practices for Georeferencing. Global Biodiversity Information Facility, Copenhagen, Denmark.
11. Chardon NI, Cornwell WK, Flint LE, Flint AL, Ackerly DD (2014) Topographic, latitudinal and climatic distribution of Pinus coulteri: geographic range limits are not at the edge of the climate envelope. Ecography, 38, 590-601.
12. Cordero EC, Kessomkiat W, Abatzoglou JT, Mauget SA (2011) The identification of distinct patterns in California temperature trends. Climatic Change, 108, 357-382.
13. Daly C, Taylor GH, Gibson WP, Parzybok TW, Johnson GL, Pasteris PA (2000) High-quality spatial climate data sets for the United States and beyond. Transactions of the ASAE-American Society of Agricultural Engineers, 43, 1957-1962.
14. Daszak P, Zambrana-Torrelio C, Bogich TL, Fernandez M, Epstein JH, Murray KA, Hamilton H (2012) Interdisciplinary approaches to understanding disease emergence: the past, present, and future drivers of Nipah virus emergence. Proceedings of the National Academy of Sciences of the United States of America, 110, 3681-3688.
15. Diffenbaugh NS, Giorgi F (2012) Climate change hotspots in the CMIP5 global climate model ensemble. Climatic Change, 114, 813-822.
16. Dobrowski SZ, Thorne JH, Greenberg JA, Safford HD, Mynsberge AR, Crimmins SM, Swanson AK (2011) Modeling plant ranges over 75 years of climate change in California, USA: temporal transferability and species traits. Ecological Monographs, 81, 241-257.
17. Elith J, Leathwick Jr. (2009) Species distribution models: ecological explanation and prediction across space and time. Annual Review of Ecology Evolution and Systematics, 40, 677-697.
18. Ellis AW, Goodrich GB, Garfin GM (2010) A hydroclimatic index for examining patterns of drought in the Colorado River Basin. International Journal of Climatology, 30, 236-255.
19. Fernández M, Hamilton H, Kueppers LM (2013) Characterizing uncertainty in species distribution models derived from interpolated weather station data. Ecosphere, 4, art61.
20. Fitzgerald K, Gordon DM (2012) Effects of vegetation cover, presence of a native ant species, and human disturbance on colonization by Argentine ants. Conservation Biology, 26, 525-538.
21. Flint LE, Flint AL (2012) Downscaling future climate scenarios to fine scales for hydrologic and ecological modeling and analysis. Ecological Processes, 1, 1-15.
22. Flint LE, Flint AL, Thorne JH, Boynton R (2013) Fine-scale hydrologic modeling for regional landscape applications: the California Basin Characterization Model development and performance. Ecological Processes, 2, 1-21.
23. Franklin J, Miller JA (2009) Mapping Species Distributions: Spatial Inference and Prediction. Cambridge University Press, Cambridge, UK.
24. Franklin J, Davis FW, Ikegami M, Syphard AD, Flint LE, Flint AL, Hannah L (2013) Modeling plant species distributions under future climates: how fine scale do climate projections need to be? Global Change Biology, 19, 473-483.
25. Hamon WR (1963) Computation of direct runoff amounts from storm rainfall. International Association of Hydrological Sciences, 63, 52-62.
26. Hansen J, Sato M, Ruedy R (2012) Perception of climate change. Proceedings of the National Academy of Sciences of the United States of America, 109, E2415-E2423.
27. Helmuth B, Harley CDG, Halpin PM, O'donnell M, Hofmann GE, Blanchette CA (2002) Climate change and latitudinal patterns of intertidal thermal stress. Science, 298, 1015-1017.
28. Hidalgo HG, Dettinger MD, Cayan DR (2008) Downscaling with constructed analogues: Daily precipitation and temperature fields over the United States. California Energy Commission PIER Final Project Report CEC-500-2007-123.
29. Iles AC, Gouhier TC, Menge BA, Stewart JS, Haupt AJ, Lynch MC (2012) Climate-driven trends and ecological implications of event-scale upwelling in the California Current System. Global Change Biology, 18, 783-796.
30. Johnstone JA, Dawson TE (2010) Climatic context and ecological implications of summer fog decline in the coast redwood region. Proceedings of the National Academy of Sciences of the United States of America, 107, 4533-4538.
31. Kirincich AR, Barth JA, Grantham BA, Menge BA, Lubchenco J (2005) Wind-driven inner-shelf circulation off central Oregon during summer. Journal of Geophysical Research: Oceans, 110, C10S03, doi:10.1029/2004JC002611.
32. Klausmeyer KR, Shaw MR (2009) Climate change, habitat loss, protected areas and the climate adaptation potential of species in Mediterranean ecosystems worldwide. PLoS ONE, 4, e6392.
33. Knutti R, Sedlacek J (2013) Robustness and uncertainties in the new CMIP5 climate model projections. Nature Climate Change, 3, 369-373.
34. Kremen C, Cameron A, Moilanen A et al. (2008) Aligning conservation priorities across taxa in Madagascar with high-resolution planning tools. Science, 320, 222-226.
35. Kueppers LM, Snyder MA, Sloan LC, Zavaleta ES, Fulfrost B (2005) Modeled regional climate change and California endemic oak ranges. Proceedings of the National Academy of Sciences of the United States of America, 102, 16281-16286.
36. LaDochy S, Medina R, Patzert W (2007) Recent California climate variability: spatial and temporal patterns in temperature trends. Climate Research, 33, 159-169.
37. Lebassi B, Gonzalez J, Fabris D et al. (2009) Observed 1970-2005 cooling of summer daytime temperatures in coastal California. Journal of Climate, 22, 3558-3573.
38. Limm EB, Simonin KA, Bothman AG, Dawson TE (2009) Foliar water uptake: a common water acquisition strategy for plants of the redwood forest. Oecologia, 161, 449-459.
39. 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.
40. Lobo JM, Jiménez-Valverde A, Real R (2008) AUC: a misleading measure of the performance of predictive distribution models. Global Ecology and Biogeography, 17, 145-151.
41. Lobo JM, Jimenez-Valverde A, Hortal J (2010) The uncertain nature of absences and their importance in species distribution modelling. Ecography, 33, 103-114.
42. Lorenz EN (1969) Atmospheric predictability as revealed by naturally occurring analogues. Journal of the Atmospheric Sciences, 26, 636-646.
43. Lu J, Sun G, McNulty SG, Amatya DM (2005) A comparison of six potential evapotranspiration methods for regional use in the southeastern United States. Journal of the American Water Resources Association, 41, 621-633.
44. Lunt ID, Byrne M, Hellmann JJ et al. (2013) Using assisted colonisation to conserve biodiversity and restore ecosystem function under climate change. Biological Conservation, 157, 172-177.
45. Marmion M, Parviainen M, Luoto M, Heikkinen RK, Thuiller W (2009) Evaluation of consensus methods in predictive species distribution modelling. Diversity and Distributions, 15, 59-69.
46. McIntyre PJ, Thorne JH, Dolanc CR, Flint AL, Flint LE, Kelly M, Ackerly DD (2015) Twentieth-century shifts in forest structure in California: denser forests, smaller trees, and increased dominance of oaks. Proceedings of the National Academy of Sciences of the United States of America, 112, 1458-1463.
47. McPherson JM, Jetz W, Rogers DJ (2006) Using coarse-grained occurrence data to predict species distributions at finer spatial resolutions - possibilities and limitations. Ecological Modelling, 192, 499-522.
48. Noss RF (2000) The Redwood Forest: History, Ecology, and Conservation of the Coast Redwoods. Island Press, Washington, DC.
49. O'Brien TA, Sloan LC, Chuang PY, Faloona IC, Johnstone JA (2012) Multidecadal simulation of coastal fog with a regional climate model. Climate Dynamics, 40, 2801-2812.
50. Osmond B, Ananyev G, Berry J et al. (2004) Changing the way we think about global change research: scaling up in experimental ecosystem science. Global Change Biology, 10, 393-407.
51. Paltineanu CR, Mihailescu IF, Prefac Z, Dragota C, Vasenciuc F, Claudia N (2009) Combining the standardized precipitation index and climatic water deficit in characterizing droughts: a case study in Romania. Theoretical and Applied Climatology, 97, 219-233.
52. Parolo G, Rossi G, Ferrarini A (2008) Toward improved species niche modelling: Arnica montana in the Alps as a case study. Journal of Applied Ecology, 45, 1410-1418.
53. Peters GP, Andrew RM, Boden T et al. (2012) The challenge to keep global warming below 2 C. Nature Climate Change, 3, 4-6.
54. Peterson AT (2011) Ecological Niches and Geographic Distributions (MPB-49). Princeton University Press, Princeton, NJ.
55. Peterson AT, Vieglais DA (2001) Predicting species invasions using ecological niche modeling: new approaches from bioinformatics attack a pressing problem. BioScience, 51, 363-371.
56. Phillips SJ, Dudik M (2008) Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation. Ecography, 31, 161-175.
57. Phillips SJ, Anderson RP, Schapire RE (2006) Maximum entropy modeling of species geographic distributions. Ecological Modelling, 190, 231-259.
58. Pierce DW, Cayan DR, Das T et al. (2013) The key role of heavy precipitation events in climate model disagreements of future annual precipitation changes in California. Journal of Climate, 26, 5879-5896.
59. Seo H, Brink KH, Dorman CE, Koracin D, Edwards CA (2012) What determines the spatial pattern in summer upwelling trends on the US West Coast? Journal of Geophysical Research: Oceans, 117, C08012, doi:10.1029/2012JC008016.
60. Simonin KA, Santiago LS, Dawson TE (2009) Fog interception by Sequoia sempervirens (D. Don) crowns decouples physiology from soil water deficit. Plant, Cell & Environment, 32, 882-892.
61. Snyder MA, Sloan LC, Diffenbaugh NS, Bell JL (2003) Future climate change and upwelling in the California Current. Geophy-sical Research Letters, 30, 1823, doi: 1810.1029/2003GL017647.
62. Stephenson N (1990) Climatic control of vegetation distribution: the role of the water balance. American Naturalist, 1990, 649-670.
63. Stephenson N (1998) Actual evapotranspiration and deficit: biologically meaningful correlates of vegetation distribution across spatial scales. Journal of Biogeography, 25, 855-870.
64. Sydeman WJ, García-Reyes M, Schoeman DS, Rykaczewski RR, Thompson SA, Black BA, Bograd SJ (2014) Climate change and wind intensification in coastal upwelling ecosystems. Science, 345, 77-80.
65. Tabor K, Williams JW (2010) Globally downscaled climate projections for assessing the conservation impacts of climate change. Ecological Applications, 20, 554-565.
66. Tebaldi C, Knutti R (2007) The use of the multi-model ensemble in probabilistic climate projections. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 365, 2053-2075.
67. Thomson AM, Calvin KV, Smith SJ et al. (2011) RCP4. 5: a pathway for stabilization of radiative forcing by 2100. Climatic Change, 109, 77-94.
68. Thornthwaite CW, Mather Jr. (1955) The water balance. Centerton: Drexel Institute of Technology, Laboratory of Climatology. Publications in Climatology, 8, 5-85.
69. Torregrosa A, Taylor MD, Flint LE, Flint AL (2013) Present, future, and novel bioclimates of the San Francisco, California Region. PLoS ONE, 8, e58450.
70. VanDerWal J, Shoo LP, Graham C, Williams SE (2009) Selecting pseudo-absence data for presence-only distribution modeling: how far should you stray from what you know? Ecological Modelling, 220, 589-594.
71. Violle C, Reich PB, Pacala SW, Enquist BJ, Kattge J (2014) The emergence and promise of functional biogeography. Proceedings of the National Academy of Sciences of the United States of America, 111, 13690-13696.
72. Vörösmarty CJ, Federer CA, Schloss AL (1998) Potential evaporation functions compared on US watersheds: possible implications for global-scale water balance and terrestrial ecosystem modeling. Journal of Hydrology, 207, 147-169.
73. Wang MY, Overland JE, Bond NA (2010) Climate projections for selected large marine ecosystems. Journal of Marine Systems, 79, 258-266.
74. Wilby RL, Dawson CW (2013) The statistical downscaling model: insights from one decade of application. International Journal of Climatology, 33, 1707-1719.
75. Wilby RL, Charles SP, Zorita E, Timbal B, Whetton PH, Mearns LO (2004) Guidelines for use of climate scenarios developed from statistical downscaling methods.
76. Zorita E, Von Storch H (1999) The analog method as a simple statistical downscaling technique: comparison with more complicated methods. Journal of Climate, 12, 2474-2489.
77. Zweig MH, Campbell G (1993) Receiver-operating characteristic (ROC) plots: a fundamental evaluation tool in clinical medicine. Clinical Chemistry, 39, 561-577.