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The potential transient dynamics of forests in New England under historical and projected future climate change

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  • Guoping Tang
  • Brian Beckage
  • Benjamin Smith

Abstract

Projections of vegetation distribution that incorporate the transient responses of vegetation to climate change are likely to be more efficacious than those that assume an equilibrium between climate and vegetation. We examine the non-equilibrium dynamics of a temperate forest region under historic and projected future climate change using the dynamic ecosystem model LPJ-GUESS. We parameterized LPJ-GUESS for the New England region of the United Sates utilizing eight forest cover types that comprise the regionally dominant species. We developed a set of climate data at a monthly-step and a 30-arc second spatial resolution to run the model. These datasets consist of past climate observations for the period 1901–2006 and three general circulation model projections for the period 2007–2099. Our baseline (1971–2000) simulation reproduces the distribution of forest types in our study region as compared to the National Land Cover Data 2001 (Kappa statistic = 0.54). Under historic and nine future climate change scenarios, maple-beech-basswood, oaks and aspen-birch were modeled to move upslope at an estimated rate of 0.2, 0.3 and 0.5 m yr −1 from 1901 to 2006, and continued this trend at an accelerated rate of around 0.5, 0.9 and 1.7 m yr −1 from 2007 to 2099. Spruce-fir and white pine-cedar were modeled to contract to mountain ranges and cooler regions of our study region under projected future climate change scenarios. By the end of the 21 st century, 60% of New England is projected to be dominated by oaks relative to 21% at the beginning of the 21 st century, while northern New England is modeled to be dominated by aspen-birch. In mid and central New England, maple-beech-basswood, yellow birch-elm and hickories co-occur and form novel species associations. In addition to warming-induced northward and upslope shifts, climate change causes more complex changes in our simulations, such as reversed conversions between forest types that currently share similar bioclimatic ranges. These results underline the importance of considering community interactions and transient dynamics in modeling studies of climate change impacts on forest ecosystems. Copyright Springer Science+Business Media B.V. 2012

Suggested Citation

  • Guoping Tang & Brian Beckage & Benjamin Smith, 2012. "The potential transient dynamics of forests in New England under historical and projected future climate change," Climatic Change, Springer, vol. 114(2), pages 357-377, September.
    • Handle: RePEc:spr:climat:v:114:y:2012:i:2:p:357-377
    DOI: 10.1007/s10584-012-0404-x
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    References listed on IDEAS

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    1. Wramneby, Anna & Smith, Benjamin & Zaehle, Sönke & Sykes, Martin T., 2008. "Parameter uncertainties in the modelling of vegetation dynamics—Effects on tree community structure and ecosystem functioning in European forest biomes," Ecological Modelling, Elsevier, vol. 216(3), pages 277-290.
    2. Tang, Guoping & Shafer, Sarah L. & Bartlein, Patrick J. & Holman, Justin O., 2009. "Effects of experimental protocol on global vegetation model accuracy: A comparison of simulated and observed vegetation patterns for Asia," Ecological Modelling, Elsevier, vol. 220(12), pages 1481-1491.
    3. Camille Parmesan & Gary Yohe, 2003. "A globally coherent fingerprint of climate change impacts across natural systems," Nature, Nature, vol. 421(6918), pages 37-42, January.
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    1. Sallaba, Florian & Lehsten, Dörte & Seaquist, Jonathan & Sykes, Martin T., 2015. "A rapid NPP meta-model for current and future climate and CO2 scenarios in Europe," Ecological Modelling, Elsevier, vol. 302(C), pages 29-41.
    2. Emmett, Kristen D. & Renwick, Katherine M. & Poulter, Benjamin, 2021. "Adapting a dynamic vegetation model for regional biomass, plant biogeography, and fire modeling in the Greater Yellowstone Ecosystem: Evaluating LPJ-GUESS-LMfireCF," Ecological Modelling, Elsevier, vol. 440(C).
    3. Anandhi, Aavudai, 2017. "CISTA-A: Conceptual model using indicators selected by systems thinking for adaptation strategies in a changing climate: Case study in agro-ecosystems," Ecological Modelling, Elsevier, vol. 345(C), pages 41-55.

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