全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...
PLOS ONE  2013 

A Vulnerability Assessment of 300 Species in Florida: Threats from Sea Level Rise, Land Use, and Climate Change

DOI: 10.1371/journal.pone.0080658

Full-Text   Cite this paper   Add to My Lib

Abstract:

Species face many threats, including accelerated climate change, sea level rise, and conversion and degradation of habitat from human land uses. Vulnerability assessments and prioritization protocols have been proposed to assess these threats, often in combination with information such as species rarity; ecological, evolutionary or economic value; and likelihood of success. Nevertheless, few vulnerability assessments or prioritization protocols simultaneously account for multiple threats or conservation values. We applied a novel vulnerability assessment tool, the Standardized Index of Vulnerability and Value, to assess the conservation priority of 300 species of plants and animals in Florida given projections of climate change, human land-use patterns, and sea level rise by the year 2100. We account for multiple sources of uncertainty and prioritize species under five different systems of value, ranging from a primary emphasis on vulnerability to threats to an emphasis on metrics of conservation value such as phylogenetic distinctiveness. Our results reveal remarkable consistency in the prioritization of species across different conservation value systems. Species of high priority include the Miami blue butterfly (Cyclargus thomasi bethunebakeri), Key tree cactus (Pilosocereus robinii), Florida duskywing butterfly (Ephyriades brunnea floridensis), and Key deer (Odocoileus virginianus clavium). We also identify sources of uncertainty and the types of life history information consistently missing across taxonomic groups. This study characterizes the vulnerabilities to major threats of a broad swath of Florida’s biodiversity and provides a system for prioritizing conservation efforts that is quantitative, flexible, and free from hidden value judgments.

References

[1]  Hughes L (2000) Biological consequences of global warming: is the signal already apparent? Trends Ecol Evol 15: 56-61. doi:10.1016/S0169-5347(99)01764-4. PubMed: 10652556.
[2]  Loehle C, Eschenbach W (2012) Historical bird and terrestrial mammal extinction rates and causes. Divers Distrib 18: 84-91. doi:10.1111/j.1472-4642.2011.00856.x.
[3]  McKinney ML, Lockwood JL (1999) Biotic homogenization: a few winners replacing many losers in the next mass extinction. Trends Ecol Evol 14: 450-453. doi:10.1016/S0169-5347(99)01679-1. PubMed: 10511724.
[4]  Brooks TM, Mittermeier RA, Mittermeier CG, Da Fonseca GAB, Rylands AB et al. (2002) Habitat loss and extinction in the hotspots of biodiversity. Conserv Biol 16: 909-923. doi:10.1046/j.1523-1739.2002.00530.x.
[5]  Thomas CD, Cameron A, Green RE, Bakkenes M, Beaumont LJ et al. (2004) Extinction risk from climate change. Nature 427: 145-148. doi:10.1038/nature02121. PubMed: 14712274.
[6]  Pimm SL, Raven P (2000) Biodiversity: Extinction by numbers. Nature 403: 843-845. doi:10.1038/35002708. PubMed: 10706267.
[7]  Koh LP, Dunn RR, Sodhi NS, Colwell RK, Proctor HC et al. (2004) Species coextinctions and the biodiversity crisis. Science 305: 1632-1634. doi:10.1126/science.1101101. PubMed: 15361627.
[8]  Noss RF, Dobson AP, Baldwin R, Beier P, Davis CR et al. (2012) Bolder thinking for conservation. Conserv Biol 26: 1-4. doi:10.1111/j.1523-1739.2011.01738.x. PubMed: 22280321.
[9]  James A, Gaston KJ, Galmford A (2001) Can we afford to conserve biodiversity? BioScience 51: 43-52. Available online at: doi:10.1641/0006-3568(2001)051[0043:CWAT?CB]2.0.CO; 2.
[10]  Balmford A, Gaston KJ, Blyth S, James A, Kapos V (2003) Global variation in terrestrial conservation costs, conservation benefits, and unmet conservation needs. Proc Natl Acad Sci U S A 100: 1046-1050. doi:10.1073/pnas.0236945100. PubMed: 12552123.
[11]  Beier P, Brost B (2010) Use of land facets to plan for climate change: conserving the arenas, not the actors. Conserv Biol 24: 701-710. doi:10.1111/j.1523-1739.2009.01422.x. PubMed: 20067491.
[12]  Black S, Groombridge JIM (2010) Use of a business excellence model to improve conservation programs. Conserv Biol 24: 1448-1458. PubMed: 20825449.
[13]  Bonin A, Nicole F, Pompanon F, Miaud C, Taberlet P (2007) Population Adaptive Index: a new method to help measure intraspecific genetic diversity and prioritize populations for conservation. Conserv Biol 21: 697-708. doi:10.1111/j.1523-1739.2007.00685.x. PubMed: 17531048.
[14]  Brockington D, Duffy R (2010) Capitalism and conservation: the production and reproduction of biodiversity conservation. Antipode 42: 469-484. doi:10.1111/j.1467-8330.2010.00760.x.
[15]  Boettcher PJ, Tixier-Boichard M, Toro MA, Simianer H, Eding H et al. (2010) Objectives, criteria and methods for using molecular genetic data in priority setting for conservation of animal genetic resources. Anim Genet 41: 64-77. doi:10.1111/j.1365-2052.2010.02050.x. PubMed: 20500756.
[16]  Brooks TM (2006) Global biodiversity conservation priorities. Science 313: 58-61. doi:10.1126/science.1127609. PubMed: 16825561.
[17]  Myers N, Mittermeier RA, Mittermeier CG, da Fonseca GAB, Kent J (2000) Biodiversity hotspots for conservation priorities. Nature 403: 853-858. doi:10.1038/35002501. PubMed: 10706275.
[18]  Joseph LN, Maloney RF, Possingham HP (2009) Optimal allocation of resources among threatened species: a project prioritization protocol. Conserv Biol 23: 328-338. PubMed: 19183202.
[19]  Millsap BA, Gore JA, Runde DE, Cerulean SI (1990) Setting priorities for the conservation of fish and wildlife species in Florida. Wildlife Monographs 111: 3-57.
[20]  Mace GM, Lande R (1991) Assessing Extinction Threats: Toward a Reevaluation of IUCN Threatened Species Categories. Conserv Biol 5: 148-157. doi:10.1111/j.1523-1739.1991.tb00119.x.
[21]  Oetting JB, Knight AL, Knight GR (2006) Systematic reserve design as a dynamic process: F-TRAC and the Florida Forever program. Biol Conserv 128: 37-46. doi:10.1016/j.biocon.2005.09.014.
[22]  Gardali T, Seavy NE, DiGaudio RT, Comrack LA (2012) A climate change vulnerability assessment of California's at-risk birds. PLOS ONE 7: e29507. doi:10.1371/journal.pone.0029507. PubMed: 22396726.
[23]  Dubois N, Caldas A, Boshoven J, Delach A (2011) Integrating climate change vulnerability assessments into adaptation planning: A case study using the NatureServe Climate Change Vulnerability Index to inform conservation planning for species in Florida. Defenders of Wildlife.
[24]  Young BE, Byers E, Gravuer K, Hall KR, Hammerson G et al. (2009) Using the NatureServe Climate Change Vulnerability Index: A Nevada Case Study. Arlington, VA. NatureServe.
[25]  Shoo L, Hoffmann A, Garnett S, Pressey R, Williams Y et al. (2013) Making decisions to conserve species under climate change. Clim Change 119: 239-246. doi:10.1007/s10584-013-0699-2.
[26]  Hinrichsen D (1998) Coastal Waters of the World: Trends, Threats, and Strategies. Washington DC: Island Press.
[27]  James C (1961) Endemism in Florida. Brittonia 13: 225-244. doi:10.2307/2805339.
[28]  Sorrie BA, Weakley AS (2001) Coastal plain vascular plant endemics: phytogeographic patterns. Castanea 66: 50-82.
[29]  Stith BM, Branch LC (1994) Dispersion and co-occurrence of endemic vertebrates of Florida scrub. First Annual Conference of the Wildlife Society. Albuquerque, NM. The Wildlife Society.
[30]  Herring B, Davis A (2004) Inventory of rare and endemic plants and rare land and riverine vertebrates of Silver River and Silver Springs – Final Report. Tallahassee, Florida. Florida Natural Areas Inventory.
[31]  Peck SB (1989) A survey of insects of the Florida Keys: post-Pleistocene land-bridge islands. Florida Entomologist 72: 603-612. doi:10.2307/3495034.
[32]  Mulkey S (2007) Climate change and land use in Florida: Interdependencies and opportunities. Century Commission for a Sustainable Florida. University of Florida. p. 43.
[33]  Zhang K, Li Y, Liu H, Xu H, Shen J (2013) Comparison of three methods for estimating the sea level rise effect on storm surge flooding. Clim Change 118: 487-500. doi:10.1007/s10584-012-0645-8.
[34]  Reece JS, Noss RF (2013) Prioritizing species by conservation value and vulnerability: a new index applied to species threatened by sea-level rise and other risks in Florida. Nat Areas J. In press.
[35]  McKelvey KS, Aubry KB, Schwartz MK (2008) Using anecdotal occurrence data for rare or elusive species: the illusion of reality and call for evidentiary standards. BioScience 58: 549-555. doi:10.1641/B580611.
[36]  Charney ND (2012) Evaluating expert opinion and spatial scale in an amphibian model. Ecol Modelling 242: 37-45. doi:10.1016/j.ecolmodel.2012.05.026.
[37]  Clevenger AP, Wierzchowski J, Chruszcz S, Gunson K (2002) GIS-generated, expert-based models for identifying wildlife habitat linkages and planning mitigation passages. Conserv Biol 16: 503-514. doi:10.1046/j.1523-1739.2002.00328.x.
[38]  Johnson CJ, Gillingham MP (2004) Mapping uncertainty: sensitivity of wildlife habitat ratings to expert opinion. J Appl Ecol 41: 1032-1041. doi:10.1111/j.0021-8901.2004.00975.x.
[39]  Strauss BH, Ziemlinski R, Weiss JL, Overpeck JT (2012) Tidally adjusted estimates of topographic vulnerability to sea level rise and flooding for the contiguous United States. Environ Res Lett 7: 014033. doi:10.1088/1748-9326/7/1/014033.
[40]  Vermeer M, Rahmstorf S (2009) Global sea level linked to global temperature. Proc Natl Acad Sci U S A 106: 21527-21532. doi:10.1073/pnas.0907765106. PubMed: 19995972.
[41]  Pfeffer WT, Harper JT, O'Neel S (2008) Kinematic Constraints on Glacier Contributions to 21st-Century Sea-Level Rise. Science 321: 1340-1343. doi:10.1126/science.1159099. PubMed: 18772435.
[42]  Zwick PD, Carr MH (2006) Florida 2060: A population Distribution Scenario for the State of Florida. Gainesville: GeoPlan Center at the University of Florida.
[43]  Faber-Langendoen D, Master L, Nichols J, Snow K, Tomaino A et al. (2009) NatureServe Conservation Status Assessments: Methodology for Assigning Ranks. Arlington, VA: NatureServe.
[44]  Fleishman E, Murphy DD, Brussard PF (2000) A new method for selection of umbrella species for conservation planning. Ecol Appl 10: 569-579. Available online at: doi:10.1890/1051-0761(2000)010[0569:ANMF?SO]2.0.CO; 2.
[45]  Fisher DO, Owens IPF (2004) The comparative method in conservation biology. Trends Ecol Evol 19: 391-398. doi:10.1016/j.tree.2004.05.004. PubMed: 16701291.
[46]  Redding DW, Mooers A? (2006) Incorporating evolutionary measures into conservation prioritization. Conserv Biol 20: 1670-1678. doi:10.1111/j.1523-1739.2006.00555.x. PubMed: 17181802.
[47]  Game ET, Kareiva P, Possingham HP (2013) Six common mistakes in conservation priority setting. Conserv Biol.
[48]  Marsh H, Dennis A, Hines H, Kutt A, McDonald K et al. (2007) Optimizing allocation of management resources for wildlife. Conserv Biol 21: 387-399. doi:10.1111/j.1523-1739.2006.00589.x. PubMed: 17391189.
[49]  O’Neill SJ, Osborn TJ, Hulme M, Lorenzoni I, Watkinson AR (2008) Using expert knowledge to assess uncertainties in future polar bear populations under climate change. J Appl Ecol 45: 1649-1659. doi:10.1111/j.1365-2664.2008.01552.x.
[50]  Burgman MA, Keith DA, Walshe TV (1999) Uncertainty in comparative risk analysis for threatened Australian plant species. Risk Anal 19: 585-598. doi:10.1111/j.1539-6924.1999.tb00430.x.
[51]  Lawler JJ, Aukema JE, Grant JB, Halpern BS, Kareiva P et al. (2006) Conservation science: a 20-year report card. Front Ecol Environ 4: 473-480. Available online at: doi:10.1890/1540-9295(2006)4[473:CSAYRC]?2.0.CO; 2.
[52]  Clark JA, May RM (2002) Taxonomic bias in conservation research. Science 297: 191-192. doi:10.1126/science.297.5579.191a. PubMed: 12117005.
[53]  Stein BA, Master LL, Morse LE (2002) Taxonomic bias and vulnerable species. Science 297: 1807. doi:10.1126/science.297.5588.1807d. PubMed: 12229926.
[54]  Klironomos JN (2002) Another form of bias in conservation research. Science 298: 749-750. doi:10.1126/science.298.5594.749. PubMed: 12400547.
[55]  Shine R, Bonnet X (2000) Snakes: a new 'model organism' in ecological research? Trends Ecol Evol 15: 221-222. doi:10.1016/S0169-5347(00)01853-X. PubMed: 10802545.
[56]  Cushman SA (2006) Effects of habitat loss and fragmentation on amphibians: A review and prospectus. Biol Conserv 128: 231-240. doi:10.1016/j.biocon.2005.09.031.
[57]  Foden WB, Butchart SHM, Stuart SN, Vié J-C, Ak?akaya HR et al. (2013) Identifying the World's Most Climate Change Vulnerable Species: A Systematic Trait-Based Assessment of all Birds, Amphibians and Corals. PLOS ONE 8: e65427. doi:10.1371/journal.pone.0065427. PubMed: 23950785.
[58]  Bonnet X, Shine R, Lourdais O (2002) Taxonomic chauvinism. Trends Ecol Evol 17: 1-3. doi:10.1016/S0169-5347(01)02381-3.
[59]  Clark JA, Hoekstra JM, Boersma PD, Kareiva P (2002) Improving U.S. Endangered Species Act recovery plans: key findings and recommendations of the SCB recovery plan project. Conserv Biol 16: 1510-1519. doi:10.1046/j.1523-1739.2002.01376.x.
[60]  Gleason HA (1926) The individualistic concept of the plant association. Bulletin of the Torrey Botanical Club 53: 7-26.
[61]  Arponen A (2012) Prioritizing species for conservation planning. Biodivers Conserv 21: 875-893. doi:10.1007/s10531-012-0242-1.
[62]  Halpern BS, Pyke CR, Fox HE, Haney JC, Schlaepfer MA et al. (2006) Gaps and mismatches between global conservation priorities and spending. Conserv Biol 20: 56-64. doi:10.1111/j.1523-1739.2005.00258.x. PubMed: 16909659.
[63]  Estes JA, Duggins DO, Rathbun GB (1989) The ecology of extinctions in kelp forest communities. Conserv Biol 3: 252-264. doi:10.1111/j.1523-1739.1989.tb00085.x.
[64]  Rogers HM, Glew L, Honzák M, Hudson MD (2010) Prioritizing key biodiversity areas in Madagascar by including data on human pressure and ecosystem services. Landscape Urban Plann 96: 48-56. doi:10.1016/j.landurbplan.2010.02.002.
[65]  Nelson E, Mendoza G, Regetz J, Polasky S, Tallis H et al. (2009) Modeling multiple ecosystem services, biodiversity conservation, commodity production, and tradeoffs at landscape scales. Front Ecol Environ 7: 4-11. doi:10.1890/080023.
[66]  Daily GC, Polasky S, Goldstein J, Kareiva PM, Mooney HA et al. (2009) Ecosystem services in decision making: time to deliver. Front Ecol Environ 7: 21-28. doi:10.1890/080025.
[67]  Caro T (2010) Conservation by Proxy: Indicator, Umbrella, Keystone, Flagship, and Other Surrogate Species. Washington Island Press. 375 p.
[68]  Soulé ME, Estes JA, Berger J, Del Rio CM (2003) Ecological effectiveness: conservation goals for interactive species. Conserv Biol 17: 1238-1250. doi:10.1046/j.1523-1739.2003.01599.x.
[69]  Benjamini Y, Hochberg Y (1995) Controlling the false discovery rate: a practical and powerful approach to multiple testing. Journal Royal Statistical Society Proceedings B 57: 289-300.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133