Empirical Analysis of Climate Change Impact on Loblolly Pine Plantations in the Southern United States

Huang, Jin; Abt, Bob; Kindermann, Georg; Ghosh, Sujit K.

doi:10.1111/j.1939-7445.2011.00098.x

Cited by 16 publications

(10 citation statements)

References 23 publications

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“…Huang et al. () predicted more growth in cooler parts of the region (upper Coastal Plain and Piedmont regions) and less in the warmer lower Coastal Plain, which was in good agreement with our results using many more climate projections and a different modeling approach. The two studies vary somewhat in the magnitude of the growth response but the trends and pattern of responses were very similar.…”

Section: Discussionsupporting

confidence: 92%

“…An assessment of climate change effects on growth for the loblolly pine region was conducted by Huang, Abt, Kindermann, and Ghosh () using four Hadley III climate change scenarios from the IPCC's Fourth Assessment Report (IPCC ) and two stand‐level biometric growth models that incorporated maximum and minimum temperature and precipitation. Huang et al.…”

Section: Discussionmentioning

confidence: 99%

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Pinus taeda forest growth predictions in the 21st century vary with site mean annual temperature and site quality

Gonzalez‐Benecke

Teskey

Dinon‐Aldridge

et al. 2017

Global Change Biology

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Climate projections from 20 downscaled global climate models (GCMs) were used with the 3-PG model to predict the future productivity and water use of planted loblolly pine (Pinus taeda) growing across the southeastern United States. Predictions were made using Representative Concentration Pathways (RCP) 4.5 and 8.5. These represent scenarios in which total radiative forcing stabilizes before 2100 (RCP 4.5) or continues increasing throughout the century (RCP 8.5). Thirty-six sites evenly distributed across the native range of the species were used in the analysis. These sites represent a range in current mean annual temperature (14.9-21.6°C) and precipitation (1,120-1,680 mm/year). The site index of each site, which is a measure of growth potential, was varied to represent different levels of management. The 3-PG model predicted that aboveground biomass growth and net primary productivity will increase by 10%-40% in many parts of the region in the future. At cooler sites, the relative growth increase was greater than at warmer sites. By running the model with the baseline [CO ] or the anticipated elevated [CO ], the effect of CO on growth was separated from that of other climate factors. The growth increase at warmer sites was due almost entirely to elevated [CO ]. The growth increase at cooler sites was due to a combination of elevated [CO ] and increased air temperature. Low site index stands had a greater relative increase in growth under the climate change scenarios than those with a high site index. Water use increased in proportion to increases in leaf area and productivity but precipitation was still adequate, based on the downscaled GCM climate projections. We conclude that an increase in productivity can be expected for a large majority of the planted loblolly pine stands in the southeastern United States during this century.

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Section: Discussionsupporting

confidence: 92%

Section: Discussionmentioning

confidence: 99%

Pinus taeda forest growth predictions in the 21st century vary with site mean annual temperature and site quality

Gonzalez‐Benecke

Teskey

Dinon‐Aldridge

et al. 2017

Global Change Biology

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“…The experience of water stress is one of the most systemic stresses through the natural range of loblolly pine, with frequent periods of low rainfall and high A c c e p t e d M a n u s c r i p t 13 temperatures through the growing season (Huang, Abt, Kindermann, & Ghosh, 2011), leading to high vapor pressure deficits causing stomatal conductance to decrease (Williams et al, 2013).…”

Section: Discussionmentioning

confidence: 99%

Loblolly pine (Pinus taedaL.) essential oil yields affected by environmental and physiological changes

Sharma

Adams

Sakul

et al. 2016

Journal of Sustainable Forestry

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Loblolly pine (Pinus taeda L.) is one of the most abundant timber species in the United States and needles from this species contain essential oils (EOs) with anti-bacterial properties. Needles from trees of one loblolly pine clone were assayed for EOs α-pinene, β-pinene, terpineol, limonene, and caryophyllene across a growing season. Results showed strong positive correlations among EOs, except for caryophyllene, with Pearson's correlation values ranging from 0.66-0.96. Simultaneously, physiological attributes of tree stomatal conductance, water stress, and environmental attributes including soil moisture, photosynthetic active radiation (PAR), temperature, wind speed, and relative humidity were measured. The plants modulated the EO concentrations as a function of a changing environment season. Collection month had the largest effect on EO yields and highest yields were during the beginning of the growing season.Decreases in EOs were evident as the growing season progressed and as plants exhibited greater water stress, temperatures, solar radiation and less stomatal conductance and soil moisture.A c c e p t e d M a n u s c r i p t 2 Loblolly pine's main constituents of EOs were tightly linked and were influenced by seasonal changes (i.e., month); still, environmental/physiological attributes exhibited significant effects on α-pinene, β-pinene, and limonene concentrations a. Early spring conditions with ample water were most conducive to high concentrations of EOs.

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“…Other studies have suggested that increased temperatures could negatively affect forest productivity (Chmura et al, 2011) or have negligible effects at the regional level (Huang et al, 2011). McNulty, Vose, and Swank (1996) claimed that increases in temperatures between 2°C and 7°C could dramatically decrease net primary productivity of loblolly pine across the southern United States by as much as 60% (Florida) and as little as 15% (Virginia).…”

Section: Carbon Dioxide and Temperaturementioning

confidence: 99%

Impacts of Climate Change on Economics of Forestry and Adaptation Strategies in the Southern United States

Susaeta

Carter

Adams

2014

J. Agric. Appl. Econ.

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This article analyzes the impacts of different levels of forest productivity scenarios, disturbance risk, and salvageable rates resulting from climate change on the economics of loblolly pine in the southern United States. Potential adaptation strategies examined include reduction in planting density and use of slash pine instead of loblolly pine. Economic returns are most sensitive to changes in disturbance risk and productivity changes as compared with the salvage rate, planting density, or species selection. Loblolly pine with low planting density economically outperforms high-density loblolly pine. Slash pine is generally a less viable option compared with loblolly pine in most cases.

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Empirical Analysis of Climate Change Impact on Loblolly Pine Plantations in the Southern United States

Cited by 16 publications

References 23 publications

Pinus taeda forest growth predictions in the 21st century vary with site mean annual temperature and site quality

Pinus taeda forest growth predictions in the 21st century vary with site mean annual temperature and site quality

Loblolly pine (Pinus taedaL.) essential oil yields affected by environmental and physiological changes

Impacts of Climate Change on Economics of Forestry and Adaptation Strategies in the Southern United States

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