Skip to main content

Advertisement

Springer Nature Link
Log in

Streamflow regimes and geologic conditions are more important than water temperature when projecting future crayfish distributions

  • Published:
Climatic Change Aims and scope Submit manuscript

Abstract

Ongoing changes in climate are expected to alter current species’ habitat and potentially result in shifts in species distributions. While climatic conditions are important to a species’ ability to persist in an area, for many taxa, other environmental factors, such as geology, land cover, and topography, are also important for providing suitable habitat. Furthermore, aquatic species experience changes in climatic conditions through the effect precipitation and air temperature have on streamflow regimes and water temperature. In this study, species distribution models (SDMs) for ten stream-dwelling crayfish species were generated using a maximum entropy approach across the Mobile River Basin in the southeastern United States. SDMs were developed using model-generated contemporary estimates of streamflow and water temperature as well as geologic, topographic, and land cover data. Future distributions were then projected using global climate model (GCM) projections of streamflow and water temperature. Geology, topography, and streamflow appear to be more important predictors of suitable habitat than water temperature for crayfish species within the Mobile River Basin. Species distributions regulated by limited influences from stream flow and water temperature displayed relatively small changes in projected future habitat distributions based on various GCM scenarios. When shifts in species distributions were projected into the future, these shifts did not appear to follow a northward retreat or expansion, likely due to the limited impact of water temperature on the modeled distributions of suitable habitat for these species. Furthermore, species’ habitat distribution responses among future climate scenarios were variable within and among species and did not vary unidirectionally with increased severity of climate change as realized through increased warming patterns.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
€32.70 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (France)

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  • Abbaspour KC, Yang J, Maximov I, Siber R, Bogner K, Mieleitner J, Zobrist J, Srinivasan R (2007) Modelling hydrology and water quality in the pre-alpine/alpine Thur watershed using SWAT. J Hydrol 333:413–430

    Article  Google Scholar 

  • Al-Chokhachy R, Wenger SJ, Isaak DJ, Kershner JL (2013) Characterizing the thermal suitability of instream habitat for salmonids: a cautionary example from the Rocky Mountains. Trans Am Fish Soc 142:793–801

    Article  Google Scholar 

  • Allan JD, Flecker AS (1993) Biodiversity conservation in running waters. Bioscience 43:32–43

    Article  Google Scholar 

  • Araujo MB, Guisan A (2006) Five (or so) challenges for species distribution modelling. J Biogeogr 33:1677–1688

    Article  Google Scholar 

  • Arnold JG, Srinivasan R, Muttiah RS, Williams JR (1998) Large area hydrologic modeling and assessment—part 1: model development. J Am Water Resour Assoc 34:73–89

    Article  Google Scholar 

  • Austin M (2002) Spatial prediction of species distribution: an interface between ecological theory and statistical modelling. Ecol Model 157:101–118

    Article  Google Scholar 

  • Bain MB, Finn JT, Booke HE (1988) Streamflow regulation and fish community structure. Ecology 69:382–392

    Article  Google Scholar 

  • Beitinger TL, Bennett WA, McCauley RW (2000) Temperature tolerances of North American freshwater fishes exposed to dynamic changes in temperature. Environ Biol Fish 58:237–275

    Article  Google Scholar 

  • Bennett JM, Calosi P, Clusella-Trullas S, Martínez B, Sunday J, Algar AC, Araújo MB, Hawkins BA, Keith S, Kühn I, Rahbek C (2018) GlobTherm, a global database on thermal tolerances for aquatic and terrestrial organisms. Sci Data 5:180022

    Article  Google Scholar 

  • Bond NR, Thomson JR, Reich P (2014) Incorporating climate change in conservation planning for freshwater fishes. Divers Distrib 20:931–942

    Article  Google Scholar 

  • Bunn SE, Arthington AH (2002) Basic principles and ecological consequences of altered flow regimes for aquatic biodiversity. Environ Manag 30:492–507

    Article  Google Scholar 

  • Capinha C, Larson ER, Tricarico E, Olden JD, Gherardi F (2013) Effects of climate change, invasive species, and disease on the distribution of native European crayfishes. Conserv Biol 27:731–740

    Article  Google Scholar 

  • Chien HC, Yeh PJF, Knouft JH (2013) Modeling the potential impacts of climate change on streamflow in agricultural watersheds of the Midwestern United States. J Hydrol 491:73–88

    Article  Google Scholar 

  • Comte L, Buisson L, Daufresne M, Grenouillet G (2013) Climate-induced changes in the distribution of freshwater fish: observed and predicted trends. Freshw Biol 58:625–639

    Article  Google Scholar 

  • Crandall KA, De Grave S (2017) An updated classification of the freshwater crayfishes (Decapoda: Astacidea) of the world, with a complete species list. J Crustac Biol 37:615–653

    Article  Google Scholar 

  • Creed RP Jr, Reed JM (2004) Ecosystem engineering by crayfish in a headwater stream community. J N Am Benthol Soc 23:224–236

    Article  Google Scholar 

  • Dormann CF (2007) Promising the future? Global change projections of species distributions. Basic Appl Ecol 8:387–397

    Article  Google Scholar 

  • Dyer JJ, Brewer SK, Worthington TA, Bergey EA (2013) The influence of coarse-scale environmental features on current and predicted future distributions of narrow-range endemic crayfish populations. Freshw Biol 58:1071–1088

    Article  Google Scholar 

  • Elith J, Leathwick JR (2009) Species distribution models: ecological explanation and prediction across space and time. Annu Rev Ecol Evol Syst 40:677

    Article  Google Scholar 

  • Elith J, Graham CH, Anderson RP, Dudík M, Ferrier S, Guisan A, Hijmans RJ, Huettmann F, Leathwick JR, Lehmann A, Li J, Lohmann LG, Loiselle BA, Manion G, Moritz C, Nakamura M, Nakazawa Y, Overton J, Peterson AT, Phillips SJ, Richardson K, Scachetti-Pereira R, Schapire RE, Soberon J, Williams S, Wisz MS, Zimmermann NE (2006) Novel methods improve prediction of species’ distributions from occurrence data. Ecography 29:129–151

    Article  Google Scholar 

  • Elith J, Phillips SJ, Hastie T, Dudík M, Chee YE, Yates CJ (2011) A statistical explanation of MaxEnt for ecologists. Divers Distrib 17:43–57

    Article  Google Scholar 

  • Estes MG, Al-Hamdan MZ, Ellis JT, Judd C, Woodruff D, Thom RM, Quattrochi D, Watson B, Rodriguez H, Johnson H, Herder T (2015) A modeling system to assess land cover land use change effects on SAV habitat in the Mobile Bay estuary. J Am Water Resour Assoc 51:513–536

    Article  Google Scholar 

  • Ficke AD, Myrick CA, Hansen LJ (2007) Potential impacts of global climate change on freshwater fisheries. Rev Fish Biol Fisher 17:581–613

    Article  Google Scholar 

  • Ficklin DL, Luo YZ, Stewart IT, Maurer EP (2012) Development and application of a hydroclimatological stream temperature model within the soil and water assessment tool. Water Resour Res 48:16

    Article  Google Scholar 

  • Ficklin DL, Barnhart BL, Knouft JH, Stewart IT, Maurer EP, Letsinger SL, Whittaker GW (2014) Climate change and stream temperature projections in the Columbia River basin: habitat implications of spatial variation in hydrologic drivers. Hydrol Earth Syst Sci 18:4897–4912

    Article  Google Scholar 

  • France R (1992) The North American latitudinal gradient in species richness and geographical range of freshwater crayfish and amphipods. Am Nat 139:342–354

    Article  Google Scholar 

  • Freeman MC, Hagler MM, Bumpers PM, Wheeler K, Wenger SJ, Freeman BJ (2017) Long-term monitoring data provide evidence of declining species richness in a river valued for biodiversity conservation. J Fish Wildl Manag 8:418–435

    Article  Google Scholar 

  • Frissell CA, Liss WJ, Warren CE, Hurley MD (1986) A hierarchical framework for stream habitat classification: viewing streams in a watershed context. Environ Manag 10:199–214

    Article  Google Scholar 

  • Fry JA, Xian G, Jin S, Dewitz JA, Homer CG, Limin Y, Barnes CA, Herold ND, Wickham JD (2011) Completion of the 2006 national land cover database for the conterminous United States. Photogramm Eng Remote Sens 77:858–864

    Google Scholar 

  • Geiger W, Alcorlo P, Baltanas A, Montes C (2005) Impact of an introduced crustacean on the trophic webs of Mediterranean wetlands. Biol Invasions 7:49–73

    Article  Google Scholar 

  • Guisan A, Thuiller W (2005) Predicting species distribution: offering more than simple habitat models. Ecol Lett 8:993–1009

    Article  Google Scholar 

  • Guisan A, Zimmermann NE (2000) Predictive habitat distribution models in ecology. Ecol Model 135:147–186

    Article  Google Scholar 

  • Hardeman WD, Miller RA, Swingle GD (1966) Geologic map of Tennessee, State Geologic Map, scale 1:250,000. Tennessee Division of Geology. https://ngmdb.usgs.gov/Prodesc/proddesc_91768.htm. Accessed 2 Feb 2017

  • Hein CL, Ohlund G, Englund G (2011) Dispersal through stream networks: modelling climate-driven range expansions of fishes. Divers Distrib 17:641–651

    Article  Google Scholar 

  • Heino J, Virkkala R, Toivonen H (2009) Climate change and freshwater biodiversity: detected patterns, future trends and adaptations in northern regions. Biol Rev 84:39–54

    Article  Google Scholar 

  • Hernandez PA, Graham CH, Master LL, Albert DL (2006) The effect of sample size and species characteristics on performance of different species distribution modeling methods. Ecography 29(5):773–785

    Article  Google Scholar 

  • Hobbs HH (1981) The crayfishes of Georgia. Smithson Contr Zool 318:1–549

    Article  Google Scholar 

  • Hossain MA, Lahoz-Monfort JJ, Burgman MA, Böhm M, Kujala H, Bland LM (2018) Assessing the vulnerability of freshwater crayfish to climate change. Divers Distrib 24:1830–1843

    Article  Google Scholar 

  • Huang J, Frimpong EA (2016) Limited transferability of stream-fish distribution models among river catchments: reasons and implications. Freshw Biol 61:729–744

    Article  Google Scholar 

  • Huntley B, Barnard P, Altwegg R, Chambers L, Coetzee BWT, Gibson L, Hockey PAR, Hole DG, Midgley GF, Underhill LG, Willis SG (2010) Beyond bioclimatic envelopes: dynamic species' range and abundance modelling in the context of climatic change. Ecography 33:621–626

    Google Scholar 

  • IPCC (Intergov. Panel Clim. Change) (2013) Climate change 2013: the physical science basis. Working Group I Contribution to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge

    Google Scholar 

  • Johnson L, Gage S (1997) Landscape approaches to the analysis of aquatic ecosystems. Freshw Biol 37:113–132

    Article  Google Scholar 

  • Joy MK, Death RG (2004) Predictive modelling and spatial mapping of freshwater fish and decapod assemblages using GIS and neural networks. Freshw Biol 49:1036–1052

    Article  Google Scholar 

  • Kearney M, Porter W (2009) Mechanistic niche modelling: combining physiological and spatial data to predict species’ ranges. Ecol Lett 12:334–350

    Article  Google Scholar 

  • Kharouba HM, Kerr JT (2010) Just passing through: global change and the conservation of biodiversity in protected areas. Biol Conserv 143:1094–1101

    Article  Google Scholar 

  • Knouft JH, Chu ML (2015) Using watershed-scale hydrological models to predict the impacts of increasing urbanization on freshwater fish assemblages. Ecohydrology 8:273–285

    Article  Google Scholar 

  • Knouft JH, Ficklin DL (2017) The potential impacts of climate change on biodiversity in flowing freshwater systems. in Futuyma DJ (ed.). Annu Rev Ecol Evol Syst 48:111–133

    Article  Google Scholar 

  • Knouft JH, Page LM (2011) Climate, elevation, stream channel diversity, and geographic clines in species richness of north American freshwater fishes. J Biogeogr 38:2259–2269

    Article  Google Scholar 

  • Lawton, D.E., Moye, F.J., Murray, J.B., O’Connor, B.J., Penley, H.M., Sandrock, G.S., … Wilson, J.D. (1976) Geologic map of Georgia. Georgia Department of Natural Resources, Geologic and Water Resources Division, Georgia Geological Survey http://ngmdb.usgs.gov/Prodesc/proddesc_16532.htm Accessed 2 February 2017

  • Loiselle BA, Howell CA, Graham CH, Goerck JM, Brooks T, Smith KG, Williams PH (2003) Avoiding pitfalls of using species distribution models in conservation planning. Conserv Biol 17:1591–1600

    Article  Google Scholar 

  • Lydeard C, Mayden RL (1995) A diverse and endangered aquatic ecosystem of the southeast United States. Conserv Biol 9:800–805

    Article  Google Scholar 

  • Magoulick DD, DiStefano RJ, Imhoff EM, Nolen MS, Wagner BK (2017) Landscape- and local-scale habitat influences on occupancy and detection probabilities of stream-dwelling crayfish: implications for conservation. Hydrobiologia. https://doi.org/10.1007/s10750-017-3215-2

  • Margules CR, Austin M, Mollison D, Smith F (1994) Biological models for monitoring species decline: the construction and use of data bases. Philos T Roy Soc B 344:69–75

    Article  Google Scholar 

  • Markovic D, Freyhof J, Wolter C (2012) Where are all the fish: potential of geographical maps to project current and future distribution patterns of freshwater species. PLoS One 7(7):1–15

    Article  Google Scholar 

  • Maurer EP, Hidalgo HG, Das T, Dettinger MD, Cayan DR (2010) The utility of daily large-scale climate data in the assessment of climate change impacts on daily streamflow in California. Hydrol Earth Syst Sci 14:1125–1138

    Article  Google Scholar 

  • Maurer EP, Brekke L, Pruitt T, Thrasher B, Long J, Duffy P, Dettinger M, Cayan D, Arnold J (2014) An enhanced archive facilitating climate impacts and adaptation analysis. Bull Am Meteorol Soc 95:1011–1019

    Article  Google Scholar 

  • Meybeck M, Helmer R (1989) The quality of rivers: from pristine stage to global pollution. Glob Planet Chang 1:283–309

    Article  Google Scholar 

  • Momot WT (1995) Redefining the role of crayfish in aquatic ecosystems. Rev Fish Sci 3:33–63

    Article  Google Scholar 

  • Moore, W.H. (1969) Geologic map of Mississippi. Mississippi Geological Survey http://ngmdb.usgs.gov/Prodesc/proddesc_16555.htm Accessed 2 February 2017

  • Moore MJ, DiStefano RJ, Larsen ER (2013) An assessment of life-history studies for USA and Canadian crayfishes: identifying biases and knowledge gaps to improve conservation and management. BioOne 32:1276–1287

    Google Scholar 

  • Morehouse RL, Papeş M, Tobler M (2013) Predicting and mapping the potential distribution of the Painted devil crayfish, Cambarus ludovicianus Faxon (Decapoda: Cambaridae). Southwest Nat 58:435–439

    Article  Google Scholar 

  • Nash JE, Sutcliffe JV (1970) River flow forecasting through conceptual models part I—a discussion of principles. J Hydrol 10:282–290

    Article  Google Scholar 

  • NED (2000) National Elevation Data 30 meter. National Cartography and Geospatial Center, US Geological Survey https://nationalmap.gov/elevation.html. Accessed 14 October 2016

  • Neitsch SL, Arnold JG, Kiniry JR, Srinivasan R, Williams JR (2005a) Soil and water assessment tool input/output file documentation: Verison 2005. Blackland Research Center, Texas Agricultural Experiment Sataion, Temple

    Google Scholar 

  • Neitsch SL, Arnold JG, Kiniry JR, Williams JR (2005b) Soil and water assessment tool theoretical documentation: Verison 2005. Blackland Research Center, Texas Agricultural Experiment Sataion, Temple

    Google Scholar 

  • Neupane RP, Ficklin DL, Knouft JH, Ehsani N, Cibin R (2019) Hydrologic responses to projected climate change in ecologically diverse watersheds of the Gulf Coast, United States. Int J Climatol 39(4):2227–2243

  • Newbold T (2010) Applications and limitations of museum data for conservation and ecology, with particular attention to species distribution models. Prog Phys Geogr 34:3–22

    Article  Google Scholar 

  • Nolen MS, Magoulick DD, DiStefano RJ, Imhoff EM, Wagner BK (2014) Predicting probability of occurrence and factors affecting distribution and abundance of three Ozark endemic crayfish species at multiple spatial scales. Freshw Biol 59:2374–2389

    Article  Google Scholar 

  • Parmesan C, Yohe G (2003) A globally coherent fingerprint of climate change impacts across natural systems. Nature 421:37–42

    Article  Google Scholar 

  • Pearson RG (2010) Species’ distribution modeling for conservation educators and practitioners. In: Center for Biodiversity and Conservation, American Museum of Natural History, New York pp 54–89

  • Perry WL, Jacks AM, Fiorenza D, Young M, Kuhnke R, Jacquemin SJ (2013) Effects of water velocity on the size and shape of rusty crayfish, Orconectes rusticus. Freshw Sci 32:1398–1409

    Article  Google Scholar 

  • Phillips SJ (2005) A brief tutorial on Maxent. AT&T Research, Florham Park

    Google Scholar 

  • Phillips SJ, Dudík M (2008) Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation. Ecography 31:161–175

    Article  Google Scholar 

  • Phillips SJ, Anderson RP, Schapire RE (2006) Maximum entropy modeling of species geographic distributions. Ecol Model 190:231–259

    Article  Google Scholar 

  • Poff NL, Allan JD (1995) Functional-organization of stream fish assemblages in relation to hydrological variability. Ecology 76:606–627

    Article  Google Scholar 

  • Poff NL, Allan JD, Bain MB, Karr JR, Prestegaard KL, Richter BD, Sparks RE, Stromberg JC (1997) The natural flow regime. BioScience 47:769–784

    Article  Google Scholar 

  • Rahel FJ, Olden JD (2008) Assessing the effects of climate change on aquatic invasive species. Conserv Biol 22:521–533

    Article  Google Scholar 

  • Reynolds J, Souty-Grosset C, Richardson A (2013) Ecological roles of crayfish in freshwater and terrestrial habitats. Freshwater Crayfish 19:197–218

    Google Scholar 

  • Richman NI, Boehm M, Adams SB, Alvarez F, Bergey EA, Bunn JJS, Burnham Q, Cordeiro J, Coughran J, Crandall KA, Dawkins KL, DiStefano RJ, Doran NE, Edsman L, Eversole AG, Fureder L, Furse JM, Gherardi F, Hamr P, Holdich DM, Horwitz P, Johnston K, Jones CM, Jones JPG, Jones RL, Jones TG, Kawai T, Lawler S, Lopez-Mejia M, Miller RM, Pedraza-Lara C, Reynolds JD, Richardson AMM, Schultz MB, Schuster GA, Sibley PJ, Souty-Grosset C, Taylor CA, Thoma RF, Walls J, Walsh TS, Collen B (2015) Multiple drivers of decline in the global status of freshwater crayfish (Decapoda: Astacidea). Philos Trans R Soc B 370:11

    Article  Google Scholar 

  • Searcy CA, Shaffer HB (2016) Do ecological niche models accurately identify climatic determinants of species ranges? Am Nat 187:423–435

    Article  Google Scholar 

  • Sleeter BM, Sohl TL, Bouchard MA, Reker RR, Soulard CE, Acevedo W, Griffith GE, Sleeter RR, Auch RF, Sayler KL, Prisley S, Zhu Z (2012) Scenarios of land use and land cover change in the conterminous United States: utilizing the special report on emission scenarios at ecoregional scales. Glob Environ Change-Hum Policy Dimens 22:896–914

    Article  Google Scholar 

  • Statzner B, Fievet E, Champagne JY, Morel R, Herouin E (2000) Crayfish as geomorphic agents and ecosystem engineers: biological behavior affects sand and gravel erosion in experimental streams. Limnol Oceanogr 45:1030–1040

    Article  Google Scholar 

  • Statzner B, Peltret O, Tomanova S (2003) Crayfish as geomorphic agents and ecosystem engineers: effect of a biomass gradient on baseflow and flood-induced transport of gravel and sand in experimental streams. Freshw Biol 48:147–163

    Article  Google Scholar 

  • Stites AJ, Taylor CA, Dreslik MJ, Gordon TE (2017) Using randomized sampling methods to determine distributions and habitat use of Barbicambarus simmonsi, a rare, narrowly endemic crayfish. Am Midl Nat 177:250–262

    Article  Google Scholar 

  • Sutherland WJ, Freckleton RP, Godfray HCJ, Beissinger SR, Benton T, Cameron DD, Carmel Y, Coomes DA, Coulson T, Emmerson MC (2013) Identification of 100 fundamental ecological questions. J Ecol 101:58–67

    Article  Google Scholar 

  • Szabo, M.W., Osborne, E.W., Copeland Jr., C.W., & Neathery, T.L. (1988) Geologic map of Alabama. Geological Survey of Alabama http://ngmdb.usgs.gov/Prodesc/proddesc_55859.htm Accessed 2 February 2017

  • Taylor CA (2002) Taxonomy and conservation of native crayfish stocks. In: Holdich DM (ed) Biology of freshwater crayfish. Blackwell Science, Oxford, pp 236–257

    Google Scholar 

  • Taylor CA, Schuster GA (2004) The crayfishes of Kentucky. Illinois Natural History Survey, United States

  • Taylor CA, Schuster GA, Cooper JE, DiStefano RJ, Eversole AG, Hamr P, Hobbs HH, Robison HW, Skelton CE, Thoma RE (2007) Feature: endangered species—a reassessment of the conservation status of crayfishes of the United States and Canada after 10+years of increased awareness. Fisheries 32:372–389

    Article  Google Scholar 

  • Taylor KE, Stouffer RJ, Meehl GA (2012) An overview of CMIP5 and the experiment design. Bull Am Meteorol Soc 93:485–498

    Article  Google Scholar 

  • UK: Cambridge Univ. Press, Jelks HL, Walsh SJ, Burkhead NM, Contreras-Balderas S, Diaz-Pardo E, Hendrickson DA, Lyons J, Mandrak NE, McCormick F, Nelson JS, Platania SP, Porter BA, Renaud CB, Schmitter-Soto JJ, Taylor EB, Warren ML (2008) Conservation status of imperiled North American freshwater and diadromous fishes. Fisheries 33:372–407

    Article  Google Scholar 

  • van Vliet MTH, Franssen WHP, Yearsley JR, Ludwig F, Haddeland I, Lettenmaier DP, Kabat P (2013) Global river discharge and water temperature under climate change. Glob Environ Change-Human Policy Dimens 23:450–464

    Article  Google Scholar 

  • Walther G-R, Berger S, Sykes MT (2005) An ecological ‘footprint’of climate change. Philos Trans R Soc B 272:1427–1432

    Google Scholar 

  • Warren ML, Burr BM, Walsh SJ, Bart HL, Cashner RC, Etnier DA, Freeman BJ, Kuhajda BR, Mayden RL, Robison HW, Ross ST, Starnes WC (2000) Diversity, distribution, and conservation status of the native freshwater fishes of the southern United States. Fisheries 25:7–31

    Article  Google Scholar 

  • Wenger SJ, Isaak DJ, Luce CH, Neville HM, Fausch KD, Dunham JB, Dauwalter DC, Young MK, Elsner MM, Rieman BE, Hamlet AF, Williams JE (2011) Flow regime, temperature, and biotic interactions drive differential declines of trout species under climate change. Proc Natl Acad Sci U S A 108:14175–14180

    Article  Google Scholar 

  • Westhoff J, Rabeni CF (2013) Resource selection and space use of a native and an invasive crayfish: evidence for competitive exclusion? Freshwater Sci 32:1383–1397

    Article  Google Scholar 

  • Westhoff J, Rosenberger A (2016) A global review of freshwater crayfish temperature tolerance, preference, and optimal growth. Rev Fish Biol Fish 26:329–349

    Article  Google Scholar 

  • Westhoff J, Rabeni C, Sowa S (2011) The distributions of one invasive and two native crayfishes in relation to coarse-scale natural and anthropogenic factors. Freshw Biol 56:2415–2431

    Article  Google Scholar 

  • Zhang YQ, You QL, Chen CC, Ge J (2016) Impacts of climate change on streamflows under RCP scenarios: a case study in Xin River Basin, China. Atmos Res 178:521–534

    Article  Google Scholar 

  • Zhao S, Liu S, Sohl T, Young C, Werner J (2013) Land use and carbon dynamics in the southeastern United States from 1992 to 2050. Environ Res Lett 8:044022

    Article  Google Scholar 

Download references

Funding

This work was supported by funding from the Environmental Protection Agency’s (EPAs) Science to Achieve Results (STARs) Consequences of Global Change for Water Quality program (R834195), U.S. National Science Foundation (DEB-0844644), and U.S. Army Corps of Engineers Cooperative Ecosystem Studies Units (W912Hz-15-2-0030).

Author information

Authors and Affiliations

  1. Department of Biology, Saint Louis University, 1008 S. Spring Avenue, St. Louis, MO, 63110, USA

    Kevin P. Krause & Jason H. Knouft

  2. Department of Geography, SUNY New Paltz, 1 Hawk Drive, SFB 106, New Paltz, NY, 12561, USA

    Huicheng Chien

  3. Department of Geography, Indiana University, 701 E. Kirkwood Avenue, Bloomington, IN, 47405, USA

    Darren L. Ficklin

  4. Department of Bioengineering, University of Missouri, 103 Anheuser-Busch Natural Resources Building, Columbia, MO, 65211, USA

    Damon M. Hall

  5. Department of Biological Sciences, Eastern Kentucky University, 521 Lancaster Road, Richmond, KY, 40475, USA

    Guenter A. Schuster

  6. Engineer Research and Development Center, US Army Corps of Engineers, 3909 Halls Ferry Road, Vicksburg, MS, 39180, USA

    Todd M. Swannack

  7. Illinois Natural History Survey, University of Illinois at Urbana-Champaign, 607 E. Peabody Drive, Champaign, IL, 61820, USA

    Chris A. Taylor

Authors
  1. Kevin P. Krause
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Huicheng Chien
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Darren L. Ficklin
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Damon M. Hall
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Guenter A. Schuster
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Todd M. Swannack
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Chris A. Taylor
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Jason H. Knouft
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Kevin P. Krause.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

ESM 1

(DOCX 55985 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Krause, K.P., Chien, H., Ficklin, D.L. et al. Streamflow regimes and geologic conditions are more important than water temperature when projecting future crayfish distributions. Climatic Change 154, 107–123 (2019). https://doi.org/10.1007/s10584-019-02435-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10584-019-02435-4

Search

Navigation