Impacts of sea level rise and climate change on coastal plant species in the central California coast

PeerJ - Tập 3 - Trang e958
Kendra L. Garner1, Michelle Y. Chang1, Matthew Fulda1, Jonathan A. Berlin1, Rachel Freed1, Melissa M. Soo-Hoo1, Dave L. Revell2, Makihiko Ikegami1, Lorraine E. Flint3, Alan L. Flint3, Bruce E. Kendall1
1Bren School of Environmental Science & Management, University of California, Santa Barbara, USA
2Revell Coastal, LLC , Santa Cruz, CA , USA.
3U.S. Geological Survey, California Water Science Center, Sacramento, CA, USA

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Tài liệu tham khảo

Akaike, 1973, Information theory and an extension of the maximum likelihood principle, Second international symposium on information theory, 267

Araújo, 2006, Five (or so) challenges for species distribution modelling, Journal of Biogeography, 33, 1677, 10.1111/j.1365-2699.2006.01584.x

Austin, 2011, Improving species distribution models for climate change studies: variable selection and scale, Journal of Biogeography, 38, 1, 10.1111/j.1365-2699.2010.02416.x

Bakkenes, 2002, Assessing effects of forecasted climate change on the diversity and distribution of European higher plants for 2050, Global Change Biology, 8, 390, 10.1046/j.1354-1013.2001.00467.x

Belgacem, 2013, The vulnerability of native rangeland plant species to global climate change in the West Asia and North African regions, Climatic Change, 119, 451, 10.1007/s10584-013-0701-z

Bozdogan, 1987, Model selection and Akaike’s Information Criterion (AIC): the general theory and its analytical extensions, Psychometrika, 52, 345, 10.1007/BF02294361

Berkeley: The Calflora Database. Available at http://www.calflora.org/ (accessed: July 17, 2013)

Cayan, 2008, Climate change projections of sea level extremes along the California Coast, Climatic Change, 87, S57, 10.1007/s10584-007-9376-7

Cayan, 2008, Climate change scenarios for the California region, Climatic Change, 87, S21, 10.1007/s10584-007-9377-6

Cayan, 2009, Climate change scenarios and sea level rise estimates for the California 2009 Climate Change Scenarios Assessment

Collingham, 1996, The migration of sessile organisms: a simulation model with measurable parameters, Journal of Vegetation Science, 7, 831, 10.2307/3236461

Collingham, 2000, Impacts of habitat fragmentation and patch size upon migration rates, Ecological Applications, 10, 131, 10.1890/1051-0761(2000)010[0131:IOHFAP]2.0.CO;2

Comeaux, 2012, Mangrove expansion in the Gulf of Mexico with climate change: implications for wetland health and resistance to rising sea levels, Estuarine, Coastal and Shelf Science, 96, 81, 10.1016/j.ecss.2011.10.003

Conlisk, 2013, Uncertainty in assessing the impacts of global change with coupled dynamic species distribution and population models, Global Change Biology, 19, 858, 10.1111/gcb.12090

Craft, 2009, Forecasting the effects of accelerated sea-level rise on tidal marsh ecosystem services, Frontiers in Ecology and the Environment, 7, 73, 10.1890/070219

Daly, 2002, A knowledge-based approach to the statistical mapping of climate, Climate Research, 22, 99, 10.3354/cr022099

Delworth, 2006, GFDL’s CM2 global coupled climate models. Part I: formulation and simulation characteristics, Journal of Climate, 19, 643, 10.1175/JCLI3629.1

Feagin, 2010, Salt marsh zonal migration and ecosystem service change in response to global sea level rise: a case study from an urban region, Ecology and Society, 15, 14, 10.5751/ES-03724-150414

FEMA, 2005, Final draft guidelines for coastal flood hazard analysis and mapping for the pacific coast of the United States

Fielding, 1997, A review of methods for the assessment of prediction errors in conservation presence/absence models, Environmental Conservation, 24, 38, 10.1017/S0376892997000088

Fitzpatrick, 2008, Climate change, plant migration, and range collapse in a global biodiversity hotspot: the Banksia (Proteaceae) of Western Australia, Global Change Biology, 14, 1337, 10.1111/j.1365-2486.2008.01559.x

Flint, 2012, Downscaling future climate scenarios to fine scales for hydrologic and ecological modeling and analysis, Ecological Processes, 1, 2, 10.1186/2192-1709-1-2

Giannini, 2012, Pollination services at risk: bee habitats will decrease owing to climate change in Brazil, Ecological Modelling, 244, 127, 10.1016/j.ecolmodel.2012.06.035

Gogol-Prokurat, 2011, Predicting habitat suitability for rare plants at local spatial scales using a species distribution model, Ecological Applications, 21, 33, 10.1890/09-1190.1

Graham, 1990, Effects of global climate change on the patterns of terrestrial biological communities, Trends in Ecology & Evolution, 5, 289, 10.1016/0169-5347(90)90083-P

Guisan, 2005, Predicting species distribution: offering more than simple habitat models, Ecology Letters, 8, 993, 10.1111/j.1461-0248.2005.00792.x

Guisan, 2000, Predictive habitat distribution models in ecology, Ecological Modelling, 135, 147, 10.1016/S0304-3800(00)00354-9

Hayhoe, 2004, Emissions pathways, climate change, and impacts on California, Proceedings of the National Academy of Sciences of the United States of America, 101, 12422, 10.1073/pnas.0404500101

Heberger, 2009, The impacts of sea-level rise on the California coast

Heberger, 2011, Potential impacts of increased coastal flooding in California due to sea-level rise, Climatic Change, 109, 229, 10.1007/s10584-011-0308-1

Hernandez, 2006, The effect of sample size and species characteristics on performance of different species distribution modeling methods, Ecography, 29, 773, 10.1111/j.0906-7590.2006.04700.x

Hoagland, 2011, Ecology and management of oak woodlands on Tejon Ranch: recommendations for conserving a valuable California ecosystem, M.E.S.M. Thesis

Howe, 1982, Ecology of seed dispersal, Annual Review of Ecology and Systematics, 13, 201, 10.1146/annurev.es.13.110182.001221

IPCC, 2007, Climate Change 2007: climate change impacts, adaptation, and vulnerability

Jiménez-Valverde, 2006, Threshold criteria for conversion of probability of species presence to either–or presence–absence, Acta Oecologica, 31, 361, 10.1016/j.actao.2007.02.001

Jones, 2013, Predicting the impact of climate change on threatened species in UK waters, PLoS ONE, 8, e54216, 10.1371/journal.pone.0054216

Karl, 2009, Global climate change impacts in the United States

Kearney, 2004, Mapping the fundamental niche: physiology, climate, and the distribution of a nocturnal lizard, Ecology, 85, 3119, 10.1890/03-0820

Knutson, 2006, Assessment of twentieth-century regional surface temperature trends using the GFDL CM2 coupled models, Journal of Climate, 19, 1624, 10.1175/JCLI3709.1

Loarie, 2008, Climate change and the future of California’s endemic flora, PLoS ONE, 3, e2502, 10.1371/journal.pone.0002502

Mantyka-Pringle, 2012, Interactions between climate and habitat loss effects on biodiversity: a systematic review and meta-analysis, Global Change Biology, 18, 1239, 10.1111/j.1365-2486.2011.02593.x

Maschinski, 2011, Sinking ships: conservation options for endemic taxa threatened by sea level rise, Climatic Change, 107, 147, 10.1007/s10584-011-0083-z

Nicholls, 2010, Sea-level rise and its impact on coastal zones, Science, 328, 1517, 10.1126/science.1185782

Nicholls, 1999, Increasing flood risk and wetland losses due to global sea-level rise: regional and global analyses, Global Environmental Change, 9, S69, 10.1016/S0959-3780(99)00019-9

O’Donnell, 2012, Invasion hotspots for non-native plants in Australia under current and future climates, Global Change Biology, 18, 617, 10.1111/j.1365-2486.2011.02537.x

Pfeffer, 2008, Kinematic constraints on glacier contributions to 21st-century sea-level rise, Science, 321, 1340, 10.1126/science.1159099

Phillips, 2006, Maximum entropy modeling of species geographic distributions, Ecological Modelling, 190, 231, 10.1016/j.ecolmodel.2005.03.026

Randin, 2009, Climate change and plant distribution: local models predict high-elevation persistence, Global Change Biology, 15, 1557, 10.1111/j.1365-2486.2008.01766.x

R Development Core Team, 2012, R: a language and environment for statistical computing

Regan, 2012, Evaluation of assisted colonization strategies under global change for a rare, fire-dependent plant, Global Change Biology, 18, 936, 10.1111/j.1365-2486.2011.02586.x

Revell, 2011, A methodology for predicting future coastal hazards due to sea-level rise on the California Coast, Climatic Change, 109, 251, 10.1007/s10584-011-0315-2

Riordan, 2009, Modelling the distribution of a threatened habitat: the California sage scrub, Journal of Biogeography, 36, 2176, 10.1111/j.1365-2699.2009.02151.x

Saunders, 2013, Coastal retreat and improved water quality mitigate losses of seagrass from sea level rise, Global Change Biology, 19, 2569, 10.1111/gcb.12218

Sheppard, 2013, Potential spread of recently naturalised plants in New Zealand under climate change, Climatic Change, 117, 919, 10.1007/s10584-012-0605-3

Slangen, 2012, Towards regional projections of twenty-first century sea-level change based on IPCC SRES scenarios, Climate Dynamics, 38, 1191, 10.1007/s00382-011-1057-6

Smale, 2013, Extreme climatic event drives range contraction of a habitat-forming species, Proceedings of the Royal Society B: Biological Sciences, 280, 20122829, 10.1098/rspb.2012.2829

Sork, 2010, Gene movement and genetic association with regional climate gradients in California valley oak (Quercus lobata Née) in the face of climate change, Molecular Ecology, 19, 3806, 10.1111/j.1365-294X.2010.04726.x

Syphard, 2009, Differences in spatial predictions among species distribution modeling methods vary with species traits and environmental predictors, Ecography, 32, 907, 10.1111/j.1600-0587.2009.05883.x

Theurillat, 2001, Potential impact of climate change on vegetation in the european alps: a review, Climatic Change, 50, 77, 10.1023/A:1010632015572

Thomas, 2004, Extinction risk from climate change, Nature, 427, 145, 10.1038/nature02121

Thuiller, 2005, Niche properties and geographical extent as predictors of species sensitivity to climate change, Global Ecology and Biogeography, 14, 347, 10.1111/j.1466-822X.2005.00162.x

Titus, 2009, Coastal sensitivity to sea-level rise: a focus on the mid-atlantic region. a report by the U.S. Climate Change Science Program and the Subcommittee on Global Change Research

Traill, 2011, Managing for change: wetland transitions under sea-level rise and outcomes for threatened species, Diversity and Distributions, 17, 1225, 10.1111/j.1472-4642.2011.00807.x

US Fish and Wildlife Service, 2009, Chloropyron maritimum subsp. maritimum(Cordylanthus maritimus subsp. maritimus) (salt marsh bird’s-beak) 5-Year Review: summary and evaluation

US Fish and Wildlife Service, 2010, Suaeda Californica (California sea-blite) 5-Year Review: summary and evaluation

Vermeer, 2009, Global sea level linked to global temperature, Proceedings of the National Academy of Sciences of the United States of America, 106, 21527, 10.1073/pnas.0907765106

Washington, 2000, Parallel climate model (PCM) control and transient simulations, Climate Dynamics, 16, 755, 10.1007/s003820000079

Wasson, 2013, Ecotones as indicators of changing environmental conditions: rapid migration of salt marsh–upland boundaries, Estuaries and Coasts, 36, 654, 10.1007/s12237-013-9601-8

Wiens, 2009, Niches, models, and climate change: assessing the assumptions and uncertainties, Proceedings of the National Academy of Sciences of the United States of America, 106, 19729, 10.1073/pnas.0901639106

Williams, 2009, Using species distribution models to predict new occurrences for rare plants, Diversity and Distributions, 15, 565, 10.1111/j.1472-4642.2009.00567.x

Woodward, 1987, Climate and plant distribution

Woodward, 1987, Climate and plant distribution at global and local scales, Vegetatio, 69, 189, 10.1007/BF00038700