Skip to main content

Advertisement

Log in

Recovery dynamics and climate change effects to future New England forests

  • Research Article
  • Published:
Landscape Ecology Aims and scope Submit manuscript

Abstract

Context

Forests throughout eastern North America continue to recover from broad-scale intensive land use that peaked in the nineteenth century. These forests provide essential goods and services at local to global scales. It is uncertain how recovery dynamics, the processes by which forests respond to past forest land use, will continue to influence future forest conditions. Climate change compounds this uncertainty.

Objectives

We explored how continued forest recovery dynamics affect forest biomass and species composition and how climate change may alter this trajectory.

Methods

Using a spatially explicit landscape simulation model incorporating an ecophysiological model, we simulated forest processes in New England from 2010 to 2110. We compared forest biomass and composition from simulations that used a continuation of the current climate to those from four separate global circulation models forced by a high emission scenario (RCP 8.5).

Results

Simulated forest change in New England was driven by continued recovery dynamics; without the influence of climate change forests accumulated 34 % more biomass and succeed to more shade tolerant species; Climate change resulted in 82 % more biomass but just nominal shifts in community composition. Most tree species increased AGB under climate change.

Conclusions

Continued recovery dynamics will have larger impacts than climate change on forest composition in New England. The large increases in biomass simulated under all climate scenarios suggest that climate regulation provided by the eastern forest carbon sink has potential to continue for at least a century.

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

Access this article

Subscribe and save

Springer+ Basic
$34.99 /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 excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  • Aber JD, Ollinger SV, Federer CA, Reich PB, Goulden ML, Kicklighter DW, Melillo JM, Lathrop RG (1995) Predicting the effects of climate change on water yield and forest production in the Northeastern United States. Clim Res 5:207–222

    Article  Google Scholar 

  • Albani M, Moorcroft PR, Ellison AM, Orwig DA, Foster DR (2010) Predicting the impact of hemlock woolly adelgid on carbon dynamics of eastern United States forests. Can J For Res 40:119–133

    Article  CAS  Google Scholar 

  • Battles JJ, Fahey TJ, Driscoll CT, Blum JD, Johnson CE (2014) Restoring soil calcium reverses forest decline. Environ Sci Technol Lett 1:15–19

    Article  CAS  Google Scholar 

  • Bechtold WA, Patterson PL (2005) The enhanced forest inventory and analysis program—national sampling design and estimation procedures. General technical report. SRS-80. Department of Agriculture, Forest Service, Southern Research Station, Ashville

  • Bishop DA, Beier CM, Pederson N, Lawrence GB, Stella JC, Sullivan TJ (2015) Regional growth decline of sugar maple (Acer saccharum) and its potential causes. Ecosphere 6:1–14

    Article  Google Scholar 

  • Blumstein M, Thompson JR (2015) Land-use impacts on the quantity and configuration of ecosystem service provisioning in Massachusetts, USA. J Appl Ecol 52:1009–1019

    Article  Google Scholar 

  • Buermann W, Bikash PR, Jung M, Burn DH, Reichstein M (2013) Earlier springs decrease peak summer productivity in North American boreal forests. Environ Res Lett 8:024027

    Article  Google Scholar 

  • Chandler CC, King DI, Chandler RB (2012) Do mature forest birds prefer early-successional habitat during the post-fledging period? For Ecol Manag 264:1–9

    Article  Google Scholar 

  • Cogbill CV, Burk J, Motzkin G (2002) The forests of presettlement New England, USA: spatial and compositional patterns based on town proprietor surveys. J Biogeogr 29:1279–1304

    Article  Google Scholar 

  • Daly C, Gibson W (2002) 103-year high-resolution temperature climate data set for the conterminous United States. The PRISM Climate Group, Oregon State University, Corvallis

    Google Scholar 

  • Davidson EA, Richardson AD, Savage KE, Hollinger DY (2006) A distinct seasonal pattern of the ratio of soil respiration to total ecosystem respiration in a spruce-dominated forest. Glob Change Biol 12:230–239

    Article  Google Scholar 

  • Davis MB, Botkin DB (1985) Sensitivity of cool-temperate forests and their fossil pollen record to rapid temperature change. Quat Res 23:327–340

    Article  Google Scholar 

  • de Bruijn A, Gustafson EJ, Sturtevant BR, Foster JR, Miranda BR, Lichti NI, Jacobs DF (2014) Toward more robust projections of forest landscape dynamics under novel environmental conditions: embedding PnET within LANDIS-II. Ecol Model 287:44–57

    Article  Google Scholar 

  • Dukes JS, Pontius J, Orwig D, Garnas JR, Rodgers VL, Brazee N, Cooke B, Theoharides KA, Stange EE, Harrington R, Ehrenfeld J, Gurevitch J, Lerdau M, Stinson K, Wick R, Ayres M (2009) Responses of insect pests, pathogens, and invasive plant species to climate change in the forests of Northeastern North America: what can we predict? This article is one of a selection of papers from NE Forests 2100: a synthesis of climate change impacts on forests of the Northeastern US and Eastern Canada. Can J For Res 39:231–248

    Article  Google Scholar 

  • Duveneck MJ, Scheller RM, White MA, Handler SD, Ravenscroft C (2014) Climate change effects on northern Great Lake (USA) forests: a case for preserving diversity. Ecosphere 5:1–26

    Article  Google Scholar 

  • Duveneck MJ, Thompson JR, Wilson BT (2015) An imputed forest composition map for New England screened by species range boundaries. For Ecol Manag 347:107–115

    Article  Google Scholar 

  • Eisen K, Plotkin AB (2015) Forty years of forest measurements support steadily increasing aboveground biomass in a maturing, Quercus-dominant Northeastern forest. J Torrey Bot Soc 142:97–112

    Article  Google Scholar 

  • Environmental Protection Agency (2012) Level IV ecoregions of EPA region 1. US EPA Office of Research and Development (ORD)—National Health and Environmental Effects Research Laboratory (NHEERL), Corvallis

  • Farnsworth EJ, Ogurcak DE (2015) Biogeography and decline of rare plants in New England: historical evidence and contemporary monitoring. Ecol Appl 16:1327–1337

    Article  Google Scholar 

  • Fisichelli NA, Stefanski A, Frelich LE, Reich PB (2015) Temperature and leaf nitrogen affect performance of plant species at range overlap. Ecosphere 6:1–8

    Article  Google Scholar 

  • Foster DR, Oswald WW, Faison EK, Doughty ED, Hansen BCS (2006) A climatic driver for abrupt mid-Holocene vegetation dynamics and the hemlock decline in New England. Ecology 87:2959–2966

    Article  PubMed  Google Scholar 

  • Foster JR, D’Amato AW (2015) Montane forest ecotones moved downslope in Northeastern US in spite of warming between 1984 and 2011. Glob Change Biol 21:4497–4507

    Article  Google Scholar 

  • Gavin DG, Beckage B, Osborne B (2008) Forest dynamics and the growth decline of red spruce and sugar maple on Bolton Mountain, Vermont: a comparison of modeling methods. Can J For Res 38:2635–2649

    Article  Google Scholar 

  • Giasson M-A, Ellison A, Bowden R, Crill P, Davidson E, Drake J, Frey S, Hadley J, Lavine M, Melillo J, Munger J, Nadelhoffer K, Nicoll L, Ollinger S, Savage K, Steudler P, Tang J, Varner R, Wofsy S, Foster D, Finzi A (2013) Soil respiration in a Northeastern US temperate forest: a 22-year synthesis. Ecosphere 4:1–28

    Article  Google Scholar 

  • Gustafson EJ (2013) When relationships estimated in the past cannot be used to predict the future: using mechanistic models to predict landscape ecological dynamics in a changing world. Landscape Ecol 28:1429–1437

    Article  Google Scholar 

  • Gustafson EJ, De Bruijn AMG, Miranda BR, Sturtevant BR (2016) Using first principles to increase the robustness of forest landscape models for projecting climate change impacts. TBD

  • Gustafson EJ, De Bruijn AMG, Pangle RE, Limousin J-M, McDowell NG, Pockman WT, Sturtevant BR, Muss JD, Kubiske ME (2014) Integrating ecophysiology and forest landscape models to improve projections of drought effects under climate change. Glob Change Biol 21:1–14

    Google Scholar 

  • Hadley JL, Schedlbauer JL (2002) Carbon exchange of an old-growth eastern hemlock (Tsuga canadensis) forest in central New England. Tree Physiol 22:1079–1092

    Article  CAS  PubMed  Google Scholar 

  • Hijmans RJ (2014) Raster: geographic data analysis and modeling. R package version 2.2-12

  • Hollinger DY, Aber J, Dail B, Davidson EA, Goltz SM, Hughes H, Leclerc MY, Lee JT, Richardson AD, Rodrigues C, Scott NA, Achuatavarier D, Walsh J (2004) Spatial and temporal variability in forest-atmosphere CO2 exchange. Glob Change Biol 10:1689–1706

    Article  Google Scholar 

  • Hurtt GC, Pacala SW, Moorcroft PR, Caspersen J, Shevliakova E, Houghton RA, Moore B (2002) Projecting the future of the US carbon sink. Proc Natl Acad Sci USA 99:1389–1394

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • IPCC (2013) Climate change 2013: the physical science basis, working group I contribution to the fifth assessment report of the Intergovernmental Panel on Climate Change, summary for policymakers

  • 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 254:390–406

    Article  Google Scholar 

  • Keenan T, Gray J, Friedl M (2014) Net carbon uptake has increased through warming-induced changes in temperate forest phenology. Nat Clim Change 4:598–604

    Article  CAS  Google Scholar 

  • Little EL (1971) Atlas of United States trees: conifers and important hardwoods, vol 1. US Department of Agriculture Miscellaneous Publication 1146

  • Mather AS (1992) The forest transition. Area 24:367–379

    Google Scholar 

  • Mohan JE, Cox RM, Iverson LR (2009) Composition and carbon dynamics of forests in northeastern North America in a future, warmer world. This article is one of a selection of papers from NE Forests 2100: a synthesis of climate change impacts on forests of the Northeastern US and Eastern Canada. Can J For Res 39:213–230

    Article  CAS  Google Scholar 

  • Ning L, Riddle EE, Bradley RS (2015) Projected changes in climate extremes over the Northeastern United States*. J Clim 28:3289–3310

    Article  Google Scholar 

  • Nunery JS, Keeton WS (2010) Forest carbon storage in the Northeastern United States: net effects of harvesting frequency, post-harvest retention, and wood products. For Ecol Manag 259:1363–1375

    Article  Google Scholar 

  • Ollinger SV, Goodale CL, Hayhoe K, Jenkins JP, Goodale SVOCL, Jenkins KHJP (2008) Potential effects of climate change and rising CO2 on ecosystem processes in Northeastern US forests. Mitig Adapt Strat Glob Change 13:467–485

    Article  Google Scholar 

  • Ordonez A, Martinuzzi S, Radeloff VC, Williams JW, Radelo VC (2014) Combined speeds of climate and land-use change of the conterminous US until 2050. Nat Clim Change 4:1–6

    Article  Google Scholar 

  • R Core Team (2013) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna. ISBN 3-900051-07-0. http://www.R-project.org/

  • Scheller RM, Domingo JB, Sturtevant BR, Williams JS, Rudy A, Gustafson EJ, Mladenoff DJ (2007) Design, development, and application of LANDIS-II, a spatial landscape simulation model with flexible temporal and spatial resolution. Ecol Model 201:409–419

    Article  Google Scholar 

  • Scheller RM, Van Tuyl S, Clark K, Hom J, La Puma I (2011) Carbon sequestration in the New Jersey pine barrens under different scenarios of fire management. Ecosystems 14:987–1004

    Article  Google Scholar 

  • Schuster WSF, Griffin KL, Roth H, Turnbull MH, Whitehead D, Tissue DT (2008) Changes in composition, structure and aboveground biomass over seventy-six years (1930–2006) in the Black Rock Forest, Hudson Highlands, southeastern New York state. Tree Physiol 28:537–549

    Article  CAS  PubMed  Google Scholar 

  • Schwenk WS, Donovan TM, Keeton WS, Nunery JS (2012) Carbon storage, timber production, and biodiversity: comparing ecosystem services with multi-criteria decision analysis. Ecol Appl 22:1612–1627

    Article  PubMed  Google Scholar 

  • Sendall KM, Reich PB, Zhao C, Jihua H, Wei X, Stefanski A, Rice K, Rich RL, Montgomery RA (2015) Acclimation of photosynthetic temperature optima of temperate and boreal tree species in response to experimental forest warming. Glob Change Biol 21:1342–1357

    Article  Google Scholar 

  • Sillmann J, Kharin VV, Zhang X, Zwiers FW, Bronaugh D (2013) Climate extremes indices in the CMIP5 multimodel ensemble: part 1. Model evaluation in the present climate. J Geophys Res Atmos 118:1716–1733

    Article  Google Scholar 

  • Stoner AMK, Hayhoe K, Yang X, Wuebbles DJ (2013) An asynchronous regional regression model for statistical downscaling of daily climate variables. Int J Climatol 33:2473–2494

    Article  Google Scholar 

  • Tang G, Beckage B (2010) Projecting the distribution of forests in New England in response to climate change. Divers Distrib 16:144–158

    Article  Google Scholar 

  • Thompson JR, Carpenter DN, Cogbill CV, Foster DR (2013) Four centuries of change in Northeastern United States forests. PLoS One 8:e72540

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Thompson JR, Foster DR, Scheller R, Kittredge D (2011) The influence of land use and climate change on forest biomass and composition in Massachusetts, USA. Ecol Appl 21:2425–2444

    Article  PubMed  Google Scholar 

  • Urbanski S, Barford C, Wofsy S, Kucharik C, Pyle E, Budney J, McKain K, Fitzjarrald D, Czikowsky M, Munger JW (2007) Factors controlling CO2 exchange on timescales from hourly to decadal at Harvard Forest. J Geophys Res 112:G02020

    Article  Google Scholar 

  • Wang WJ, He HS, Thompson III FR, Fraser JS, Dijak WD (in press) Changes in forest biomass and tree species distribution under climate change in the Northeastern US. Landscape Ecol

  • Wear DN, Coulston JW (2015) From sink to source: regional variation in US forest carbon futures. Sci Rep 5:16518

    Article  PubMed  PubMed Central  Google Scholar 

  • Zhu K, Woodall CW, Clark JS (2012) Failure to migrate: lack of tree range expansion in response to climate change. Glob Change Biol 18:1042–1052

    Article  Google Scholar 

Download references

Acknowledgments

This research was supported in part by the National Science Foundation Harvard Forest Long Term Ecological Research Program (Grant No. NSF-DEB 12-37491) and the Scenarios Society and Solutions Research Coordination Network (Grant No. NSF-DEB-13-38809). Additional funding was provided by an Agriculture and Food Research Initiative Competitive Grant No. 105321 from the USDA National Institute of Food and Agriculture to Purdue University. We thank David Foster and two anonymous reviewers that helped improve the manuscript.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Matthew J. Duveneck.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (DOCX 588 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Duveneck, M.J., Thompson, J.R., Gustafson, E.J. et al. Recovery dynamics and climate change effects to future New England forests. Landscape Ecol 32, 1385–1397 (2017). https://doi.org/10.1007/s10980-016-0415-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10980-016-0415-5

Keywords

Navigation