Literature DB >> 22073633

The influence of land use and climate change on forest biomass and composition in Massachusetts, USA.

Jonathan R Thompson1, David R Foster, Robert Scheller, David Kittredge.   

Abstract

Land use and climate change have complex and interacting effects on naturally dynamic forest landscapes. To anticipate and adapt to these changes, it is necessary to understand their individual and aggregate impacts on forest growth and composition. We conducted a simulation experiment to evaluate regional forest change in Massachusetts, USA over the next 50 years (2010-2060). Our objective was to estimate, assuming a linear continuation of recent trends, the relative and interactive influence of continued growth and succession, climate change, forest conversion to developed uses, and timber harvest on live aboveground biomass (AGB) and tree species composition. We examined 20 years of land use records in relation to social and biophysical explanatory variables and used regression trees to create "probability-of-conversion" and "probability-of-harvest" zones. We incorporated this information into a spatially interactive forest landscape simulator to examine forest dynamics as they were affected by land use and climate change. We conducted simulations in a full-factorial design and found that continued forest growth and succession had the largest effect on AGB, increasing stores from 181.83 Tg to 309.56 Tg over 50 years. The increase varied from 49% to 112% depending on the ecoregion within the state. Compared to simulations with no climate or land use, forest conversion reduced gains in AGB by 23.18 Tg (or 18%) over 50 years. Timber harvests reduced gains in AGB by 5.23 Tg (4%). Climate change (temperature and precipitation) increased gains in AGB by 17.3 Tg (13.5%). Pinus strobus and Acer rubrum were ranked first and second, respectively, in terms of total AGB throughout all simulations. Climate change reinforced the dominance of those two species. Timber harvest reduced Quercus rubra from 10.8% to 9.4% of total AGB, but otherwise had little effect on composition. Forest conversion was generally indiscriminate in terms of species removal. Under the naive assumption that future land use patterns will resemble the recent past, we conclude that continued forest growth and recovery will be the dominant mechanism driving forest dynamics over the next 50 years, and that while climate change may enhance growth rates, this will be more than offset by land use, primarily forest conversion to developed uses.

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Year:  2011        PMID: 22073633     DOI: 10.1890/10-2383.1

Source DB:  PubMed          Journal:  Ecol Appl        ISSN: 1051-0761            Impact factor:   4.657


  5 in total

1.  Effect of environmental variables on phytonutrients of Origanum vulgare L. in the sub-humid region of the northwestern Himalayas.

Authors:  Sumira Jan; Javid Iqbal Mir; Desh Beer Singh; Shafia Zaffar Faktoo; Anil Sharma; Mohammad Nassar Alyemeni; Parvaiz Ahmad
Journal:  Environ Monit Assess       Date:  2018-09-05       Impact factor: 2.513

2.  Future forest aboveground carbon dynamics in the central United States: the importance of forest demographic processes.

Authors:  Wenchi Jin; Hong S He; Frank R Thompson; Wen J Wang; Jacob S Fraser; Stephen R Shifley; Brice B Hanberry; William D Dijak
Journal:  Sci Rep       Date:  2017-02-06       Impact factor: 4.379

3.  History of Tree Growth Declines Recorded in Old Trees at Two Sacred Sites in Northern China.

Authors:  Yan Li; Qi-Bin Zhang
Journal:  Front Plant Sci       Date:  2017-11-06       Impact factor: 5.753

Review 4.  Climate change, woodpeckers, and forests: Current trends and future modeling needs.

Authors:  Eric S Walsh; Kerri T Vierling; Eva Strand; Kristina Bartowitz; Tara W Hudiburg
Journal:  Ecol Evol       Date:  2019-02-05       Impact factor: 2.912

5.  Forest loss in New England: A projection of recent trends.

Authors:  Jonathan R Thompson; Joshua S Plisinski; Pontus Olofsson; Christopher E Holden; Matthew J Duveneck
Journal:  PLoS One       Date:  2017-12-14       Impact factor: 3.240

  5 in total

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