Landscape Ecology

, Volume 32, Issue 7, pp 1433–1446 | Cite as

Bird response to future climate and forest management focused on mitigating climate change

  • Jaymi J. LeBrun
  • Jeffrey E. Schneiderman
  • Frank R. ThompsonIII
  • William D. Dijak
  • Jacob S. Fraser
  • Hong S. He
  • Joshua J. Millspaugh
Research Article

Abstract

Context

Global temperatures are projected to increase and affect forests and wildlife populations. Forest management can potentially mitigate climate-induced changes through promoting carbon sequestration, forest resilience, and facilitated change.

Objectives

We modeled direct and indirect effects of climate change on avian abundance through changes in forest landscapes and assessed impacts on bird abundances of forest management strategies designed to mitigate climate change effects.

Methods

We coupled a Bayesian hierarchical model with a spatially explicit landscape simulation model (LANDIS PRO) to predict avian relative abundance. We considered multiple climate scenarios and forest management scenarios focused on carbon sequestration, forest resilience, and facilitated change over 100 years.

Results

Management had a greater impact on avian abundance (almost 50% change under some scenarios) than climate (<3% change) and only early successional and coniferous forest showed significant change in percent cover across time. The northern bobwhite was the only species that changed in abundance due to climate-induced changes in vegetation. Northern bobwhite, prairie warbler, and blue-winged warbler generally increased in response to warming temperatures but prairie warbler exhibited a non-linear response and began to decline as summer maximum temperatures exceeded 36 °C at the end of the century.

Conclusion

Linking empirical models with process-based landscape change models can be an effective way to predict climate change and management impacts on wildlife, but time frames greater than 100 years may be required to see climate related effects. We suggest that future research carefully consider species-specific effects and interactions between management and climate.

Keywords

Avian abundance Climate change Forest management Empirical model Ecosystem process based model Forest landscape change model 

Notes

Acknowledgements

We thank the many volunteers collecting North American Breeding Bird Survey counts, without whose efforts this study would not have been possible. This project was funded by the USDA Forest Service Northern Research Station, Department of Interior USGS Northeast Climate Science Center graduate fellowships, and the University of Missouri-Columbia. Its contents are solely the responsibility of the authors and do not necessarily represent views of the Northeast Climate Science Center or the USGS. This manuscript is submitted for publication with the understanding that the United States Government is authorized to reproduce and distribute reprints for Governmental purposes.

Supplementary material

10980_2016_463_MOESM1_ESM.docx (2.8 mb)
Supplementary material 1 (DOCX 2888 kb)

References

  1. Albright TP, Pidgeon AM, Rittenhouse CD, Clayton MK, Wardlow BD, Flather CH, Culbert PD, Radeloff VC (2010) Combined effects of heat waves and droughts on avian communities across the conterminous United States. Ecosphere 1:1–22. doi: 10.1890/ES10-00057.1 CrossRefGoogle Scholar
  2. Albright TP, Pidgeon AM, Rittenhouse CD, Clayton MK, Flather CH, Culbert PD, Radeloff VC (2011) Heat waves measured with MODIS land surface temperature data predict changes in avian community structure. Remote Sens Environ 115:245–254. doi: 10.1016/j.rse.2010.08.024 CrossRefGoogle Scholar
  3. Araújo MB, Peterson AT (2012) Uses and misuses of bioclimatic envelope modeling. Ecology 93:1527–1539CrossRefPubMedGoogle Scholar
  4. Auer SK, Martin TE (2013) Climate change has indirect effects on resource use and overlap among coexisting bird species with negative consequences for their reproductive success. Glob Chang Biol 19:411–419CrossRefPubMedGoogle Scholar
  5. Benítez-López A, Alkemade R, Verweij PA (2010) The impacts of roads and other infrastructure on mammal and bird populations: a meta-analysis. Biol Conserv 143:1307–1316CrossRefGoogle Scholar
  6. Blizzard EM, Kabrick JM, Dey DC, Larsen DR, Pallardy SG, Gwaze DP (2013) Light, canopy closure, and overstory retention in upland Ozark forests. In: Guldin, James M (eds) Proceedings of the 15th biennial southern silvicultural research conference. e-Gen. Tech. Rep. SRS-GTR-175. U.S. Department of Agriculture, AshevilleGoogle Scholar
  7. Bolger DT, Patten MA, Bostock DC (2005) Avian reproductive failure in response to an extreme climatic event. Oecologia 142:398–406CrossRefPubMedGoogle Scholar
  8. Bonnot TW, Thompson FR III, Millspaugh JJ, Jones-Farrand DT (2013) Landscape-based population viability models demonstrate importance of strategic conservation planning for birds. Biol Conserv 165:104–114CrossRefGoogle Scholar
  9. Brandt L, He H, Iverson L, Thompson FR III, Butler P, Handler S, Janowiak M, Shannon PD, Swanston C, Albrecht M, Blume-Weaver R, Deizman P, DePuy J, Dijak WD, Dinkel G, Fei S, Jones-Farrand DT, Leahy M, Matthews S, Nelson P, Oberle B, Perez J, Peters M, Prasad A, Schneiderman JE, Shuey J. Smith AB, Studyvin C, Tirpak JM, Walk JW, Wang WJ, Watts L, Weigel D, Westin S (2014) Central Hardwoods ecosystem vulnerability assessment and synthesis: a report from the Central Hardwoods Climate Change Response Framework Project. Gen. Tech. Rep. NRS-124. U.S. Department of Agriculture, Forest Service, Newtown SquareGoogle Scholar
  10. Chapman S, Mustin K, Renwick AR, Segan DB, Hole DG, Pearson RG, Watson JEM (2014) Publishing trends on climate change vulnerability in the conservation literature reveal a predominant focus on direct impacts and long time-scales. Divers Distrib 20:1221–1228CrossRefGoogle Scholar
  11. D’Amato AW, Bradford JB, Fraver S, Palik BJ (2011) Forest management for mitigation and adaptation to climate change: insights from long-term silviculture experiments. For Ecol Manag 262:803–816CrossRefGoogle Scholar
  12. Dale VH, Joyce LA, McNulty S, Neilson RP (2000) The interplay between climate change, forests, and disturbances. Sci Total Environ 262:201–204CrossRefPubMedGoogle Scholar
  13. Dijak WD (2013) Landscape Builder: software for the creation of initial landscapes for LANDIS from FIA data. Comput Ecol Softw 3:17–25Google Scholar
  14. Evans AM, Perschel R (2009) A review of forestry mitigation and adaptation strategies in the Northeast U.S. Clim Chang 96:167–183CrossRefGoogle Scholar
  15. Ferger SW, Schleuning M, Hemp A, Howell KM, Böhning-Gaese K (2014) Food resources and vegetation structure mediate climatic effects on species richness of birds. Glob Ecol Biogeogr 23:541–549CrossRefGoogle Scholar
  16. Galatowitsch S, Frelich L, Phillips-Mao L (2009) Regional climate change adaptation strategies for biodiversity conservation in a midcontinental region of North America. Biol Conserv 142:2012–2022CrossRefGoogle Scholar
  17. Gill FB, Canterbury RA, Confer JL (2001) Blue-winged warbler (Vermivora pinus). In: Poole A (ed) The birds of North America online. Cornell Lab of Ornithology, Ithaca. Retrieved from the birds of North America Online http://bna.birds.cornell.edu/bna/species/584
  18. Gingrich SF (1967) Measuring and evaluating stocking and stand density in upland hardwood forest in the Central States. For Sci 13:38–53Google Scholar
  19. Goetz SJ, Steinberg D, Betts MG, Holmes RT, Doran PJ, Dubayah R, Hofton M (2010) Lidar remote sensing variables predict breeding habitat of a Neotropical migrant bird. Ecology 91:1569–1576CrossRefPubMedGoogle Scholar
  20. Grimm NB, Chapin FS, Bierwagen B, Gonzalez P, Groffman PM, Luo Y, Melton F, Nadelhoffer K, Pairis A, Raymond PA, Schimel J, Williamson CE (2013a) The impacts of climate change on ecosystem structure and function. Front Ecol Environ 11:474–482CrossRefGoogle Scholar
  21. Grimm NB, Staudinger MD, Staudt A, Carter SL, Chapin FS, Kareiva P, Ruckelshaus M, Stein BA (2013b) Climate-change impacts on ecological systems: introduction to a US assessment. Front Ecol Environ 11:456–464CrossRefGoogle Scholar
  22. Hamilton CM, Martinuzzi S, Plantinga AJ, Radeloff VC, Lewis DJ, Thogmartin WE, Heglund PJ, Pidgeon AM (2013) Current and future land use around a nationwide protected area network. PLoS ONE 8:e55737CrossRefPubMedPubMedCentralGoogle Scholar
  23. He HS (2008) Forest landscape models: definitions, characterization, and classification. For Ecol Manag 254:484–498CrossRefGoogle Scholar
  24. He HS, Mladenoff DJ, Crow TR (1999) Linking an ecosystem model and a landscape model to study forest species response to climate warming. Ecol Model 114:213–233CrossRefGoogle Scholar
  25. Hitch AT, Leberg PL (2007) Breeding distributions of North American bird species moving north as a result of climate change. Conserv Biol 21:534–539CrossRefPubMedGoogle Scholar
  26. IPCC (2007) Climate change 2007: Synthesis Report. In: Core Writing Team, Pachauri, RK, Reisinger A (eds) Contribution of Working Groups I, II and III to the Fourth Assessment Report of the Intergovernmental Panel on Climate, IPCC, GenevaGoogle Scholar
  27. Iverson LR, Prasad AM, Matthews SN, Peters M (2008) Estimating potential habitat for 134 eastern US tree species under six climate scenarios. For Ecol Manag 254:390–406CrossRefGoogle Scholar
  28. Iverson LR, Prasad AM, Matthews SN, Peters MP (2011) Lessons learned while integrating habitat, dispersal, disturbance, and life-history traits into species habitat models under climate change. Ecosystems 14:1005–1020CrossRefGoogle Scholar
  29. Iverson LR, Prasad AM, Schwartz MW (2005) Predicting potential changes in suitable habitat and distribution by 2100 for tree species of the Eastern United States. J Agic Meteorol 61:29–37CrossRefGoogle Scholar
  30. Janowiak MK, Swanston CW, Nagel LM, Brandt LA, Butler PR, Handler SD, Shannon PD, Iverson LR, Matthews SN, Prasad A, Peters MP (2014) A practical approach for translating climate change adaptation principles into forest management actions. J For 112:424–433Google Scholar
  31. Johnson PS, Shifley SR, Rogers R (2009) The ecology and silviculture of oaks, 2nd edn. CABI Publishing, New York, p 580CrossRefGoogle Scholar
  32. Karstensen KA (2010) Land-cover change in the Ozark Highlands, 1973–2000: U.S. Geological Survey Open-File Report 2010–1198, p 13Google Scholar
  33. Langham GM, Schuetz JG, Distler T, Soykan CU, Wilsey C (2015) Conservation status of North American birds in the face of future climate change. PLoS ONE 10:e0135350CrossRefPubMedPubMedCentralGoogle Scholar
  34. Lawler JJ (2009) Climate change adaptation strategies for resource management and conservation planning. Ann N Y Acad Sci 1162:79–98CrossRefPubMedGoogle Scholar
  35. Lawler JJ, Shafer SL, White D, Kareiva P, Maurer EP, Blaustein AR, Bartlein PJ (2009) Projected climate-induced faunal change in the Western Hemisphere. Ecology 90:588–597CrossRefPubMedGoogle Scholar
  36. LeBrun JJ (2015) A landscape-scale assessment of the response of birds to land cover, climate, and forest management. Dissertation, University of Missouri, ColumbiaGoogle Scholar
  37. LeBrun JJ, Thogmartin WE, Miller JR (2012) Evaluating the ability of regional models to predict local avian abundance. J Wildl Manage 76:1177–1187CrossRefGoogle Scholar
  38. LeBrun JJ, Thogmartin WE, Thompson FR III, Dijak WD, Millspaugh JJ (2016) Assessing the sensitivity of avian species abundance to land cover and climate. Ecosphere 7:e01359CrossRefGoogle Scholar
  39. Lubowski RN, Plantinga AJ, Stavins RN (2008) What drives land-use change in the United States? A national analysis of landowner decisions. Land Econ 84:529–550CrossRefGoogle Scholar
  40. Matthews SN, Iverson LR, Prasad AM, Peters MP (2011) Changes in potential habitat of 147 North American breeding bird species in response to redistribution of trees and climate following predicted climate change. Ecography (Cop) 34:933–945CrossRefGoogle Scholar
  41. McNab WH, Avers PE (1994) Ecological subregions of the United States. Report number WO-WSA-5, prepared in cooperation with Regional Compilers and the ECO MAP Team of the Forest Service July 1994, US Forest Service. http://www.fs.fed.us/land/pubs/ecoregions/toc.html
  42. McNab WH, Cleland DT, Freeouf JA, Keys Jr JE, Nowacki GJ, Carpenter CA (2007) Description of ecological subregions: sections of the conterminous United States. USDA Forest Service Gen. Tech. Rep. WO-76B, WashingtonGoogle Scholar
  43. McRae BH, Schumaker NH, McKane RB, Busing RT, Solomon AM, Burdick CA (2008) A multi-model framework for simulating wildlife population response to land-use and climate change. Ecol Model 219:77–91CrossRefGoogle Scholar
  44. Millar CI, Stephenson NL, Stephens SL (2007) Climate change and forests of the future: managing in the face of uncertainty. Ecol Appl 17:2145–2151CrossRefPubMedGoogle Scholar
  45. Python Software Foundation (2013) Python language reference, version 2.6.9. Available at http://www.python.org
  46. Radtke PJ, Robinson AP (2006) A Bayesian strategy for combining predictions from empirical and process-based models. Ecol Model 190:287–298CrossRefGoogle Scholar
  47. Reidy JL, Thompson FR III, Amundson C, O’Donnell L (2016) Landscape and local effects on occupancy and densities of an endangered wood-warbler in an urbanizing landscape. Landscape Ecol 31:365–382CrossRefGoogle Scholar
  48. Reidy JL, Thompson FR III, Kendrick SW (2014) Breeding bird response to habitat and landscape factors across a gradient of savanna, woodland, and forest in the Missouri Ozarks. For Ecol Manag 313:34–46CrossRefGoogle Scholar
  49. Rodenhouse NL, Christenson LM, Parry D, Green LE (2009) Climate change effects on native fauna of northeastern forests. Can J For Res 39:249–263CrossRefGoogle Scholar
  50. Rodenhouse NL, Matthews SN, McFarland KP, Lambert JD, Iverson LR, Prasad A, Sillett TS, Holmes RT (2008) Potential effects of climate change on birds of the Northeast. Mitig Adapt Strateg Glob Chang 13:517–540CrossRefGoogle Scholar
  51. RStudio Team (2014) RStudio: integrated development environment for R (Version 0.98.1091), BostonGoogle Scholar
  52. Schneiderman JE (2015) Climate change in the Missouri Central Hardwood Region: consequences for forest landscapes, and management strategies. Dissertation, University of Missouri, ColumbiaGoogle Scholar
  53. Schneiderman JE, He HS, Thompson FR III, Dijak WD, Fraser JS (2015) Comparison of a species distribution model and a process model from a hierarchical perspective to quantify effects of projected climate change on tree species. Landscape Ecol 30:1879–1892CrossRefGoogle Scholar
  54. Sekercioglu CH, Schneider SH, Fay JP, Loarie SR (2008) Climate change, elevational range shifts, and bird extinctions. Conserv Biol 22:140–150CrossRefPubMedGoogle Scholar
  55. Shifley SR, Brookshire BL (2000) Missouri Ozark Forest Ecosystem Project: site history, soils, landforms, woody and herbaceous vegetation, down wood, and inventory methods for the landscape experiment, General Technical Report NC-208. Department of Agriculture, Forest Service, U.S., p 31CrossRefGoogle Scholar
  56. Sih A, Ferrari MCO, Harris DJ (2011) Evolution and behavioural responses to human-induced rapid environmental change. Evol Appl 4:367–387CrossRefPubMedPubMedCentralGoogle Scholar
  57. Stoner AMK, Hayhoe K, Yang X (2011) Downscaled climate 905 projections by Katharine Hayhoe. http://cida.usgs.gov/906climate/hayhoe_projections.jsp. Accessed 01 Nov 2011
  58. Stralberg D, Jongsomjit D, Howell CA, Snyder MA, Alexander JD, Wiens JA, Root TL (2009) Re-shuffling of species with climate disruption: a no-analog future for California birds? PLoS ONE 4:e6825CrossRefPubMedPubMedCentralGoogle Scholar
  59. Thogmartin WE, Knutson MG (2007) Scaling local species-habitat relations to the larger landscape with a hierarchical spatial count model. Landscape Ecol 22:61–75CrossRefGoogle Scholar
  60. U.S. NABCI Committee (2000) North American bird conservation initiative: bird conservation region descriptions. U.S. Fish and Wildlife Service, ArlingtonGoogle Scholar
  61. Vitz AC, Hanners LA, Patton SR (2013) Worm-eating warbler (Helmitheros vermivorum). In: Poole A (ed) The birds of North America online. Cornell Lab of Ornithology, Ithaca. Retrieved from the Birds of North America Online: http://bna.birds.cornell.edu/bna/species/367. doi: 10.2173/bna.367
  62. Wade ASI, Barov B, Burfield IJ, Gregory RD, Norris K, Butler SJ (2013) Quantifying the detrimental impacts of land-use and management change on European forest bird populations. PLoS ONE 8:e64552CrossRefPubMedPubMedCentralGoogle Scholar
  63. Wang WJ, He HS, Fraser JS, Thompson FR III, Shifley SR, Spetich MA (2014) LANDIS PRO: a landscape model that predicts forest composition and structure changes at regional scales. Ecography (Cop) 37:1–5CrossRefGoogle Scholar
  64. Wang WJ, He HS, Spetich MA, Shifley SR, Thompson FR III, Larsen DR, Fraser JS, Yang J (2013) A large-scale forest landscape model incorporating multi-scale processes and utilizing forest inventory data. Ecosphere 4:1–22CrossRefGoogle Scholar
  65. Wang WJ, He HS, Thompson FR III, Fraser JS, Hanberry BB, Dijak WD (2015) The importance of succession, harvest, and climate change in determining future forest composition. Ecosphere 6:1–18CrossRefGoogle Scholar
  66. Wilson AM, Silander JA Jr (2014) Estimating uncertainty in daily weather interpolations: a Bayesian framework for developing climate surfaces. Int J Climatol 34:2573–2584CrossRefGoogle Scholar
  67. Wood EM, Pidgeon AM, Radeloff VC, Helmers DP, Culbert PD, Keuler NS, Flather CH (2015) Long-term avian community response to housing development at the boundary of US protected areas: effect size increases with time. J Appl Ecol 52:1227–1236CrossRefGoogle Scholar
  68. Yahner RH (2000) Long-term effects even-aged management Central Pennsylvania. Wildl Soc Bull 28:1102–1110Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2016

Authors and Affiliations

  • Jaymi J. LeBrun
    • 1
  • Jeffrey E. Schneiderman
    • 2
  • Frank R. ThompsonIII
    • 3
  • William D. Dijak
    • 3
  • Jacob S. Fraser
    • 2
  • Hong S. He
    • 2
  • Joshua J. Millspaugh
    • 1
  1. 1.Department of Fisheries and Wildlife SciencesUniversity of MissouriColumbiaUSA
  2. 2.Department of ForestryUniversity of MissouriColumbiaUSA
  3. 3.USDA Forest Service Northern Research StationUniversity of MissouriColumbiaUSA

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