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Predictions of Southern Pine Beetle Populations Using a Forest Ecosystem Model

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The Productivity and Sustainability of Southern Forest Ecosystems in a Changing Environment

Part of the book series: Ecological Studies ((ECOLSTUD,volume 128))

Abstract

Dendroctonus frontalis Zirnm. (southern pine beetle (SPB)) has caused over $900 million in damage to pines in the southern United States between 1960 and 1990 (Price et al., 1992). The damage of SPB to loblolly (Pinus taeda L.), shortleaf (Pinus echinata Mill.), and pitch (Pinus rigida Mill.) pine has long been established (Hopkins, 1899), however, extensive mapping of SPB infestations has only existed since 1960 (Price and Doggett, 1982). Early detection of SPB outbreak areas is essential to controlling population increases (Swain and Remion, 1981), but the range of SPB is large, SPB have six to eight generations per year, and there is inconsistency in the monitoring methods used to measure SPB populations across its range. Therefore, various models have been developed that attempt to predict SPB outbreak severity across the region (Hansen et al., 1973; Kalkstein, 1974; Michaels, 1984).

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References

  • Aber JD, Federer CA 1992 A generalized, lumped-parameter model of photosynthesis, evapotranspiration and net primary production in temperate and boreal forest ecosystems. Oecologia, 92:463–474.

    Article  Google Scholar 

  • Aber JD, Ollinger SV, Federer CA, Reich PM, Goulden ML, Kicklighter DW, Melillo JM, Lathrop RG Jr, Ellis JM. (1995) Predicting the effects of climate change on water yield and forest production in the northeastern U.S. Climate Res 5:207–222.

    Article  Google Scholar 

  • Ayres MP (1993) Plant defense, herbivory, and climate change. In Kareiva PM, Kingsolver JG, Huey RB (Eds) Biotic interactions and global change. Sinauer Associates, Sunderland, MA.

    Google Scholar 

  • Cooter EJ, Eder BK, LeDuc SK, Truppi L 1993 General circulation model output for forest climate change research and application. Gen Tech Rep SE-85. USD A, For Ser, Southeast For Exper Stat, Asheville, NC.

    Google Scholar 

  • Craighead FC (1925) Bark beetle epidemics and rainfall deficiency. J Econ Entomol 18:577–584.

    Google Scholar 

  • Hansen JB, Baker BH, Barry PJ (1973) Southern pine beetles on the Delaware Peninsula in 1971. J Ga Entomol Soc 8:3:157–164.

    Google Scholar 

  • Herms DA (1991) Variation in the resource allocation patterns of paper birch: Evidence for physiological tradeoffs among growth, reproduction, and defense. PhD dissertation. MI State Univ, East Lansing.

    Google Scholar 

  • Herms DA, Mattson WJ (1992) The dilemma of plants: To grow or defend. Q Rev Biol 67:283–335.

    Article  Google Scholar 

  • Hopkins AD (1899) Report on investigations to determine the cause of unhealthy conditions of the spruce and pine from 1880–1893. WV Agri Exper Stat Bull 56, 461.

    Google Scholar 

  • Kalkstein LS (1974) The effect of climate upon outbreaks of the southern pine beetle. Publ Climatol 27:1–65.

    Google Scholar 

  • Kramer PJ (1980) Drought, stress and the origin of adaptations. Adaptation of plants to water and high temperature stress. John Wiley and Sons, New York.

    Google Scholar 

  • Larsson S (1989) Stressful times for the plant stress-insect performance hypothesis. Oikos 56:277–283.

    Article  Google Scholar 

  • Loomis WE (1932) Growth-differentiation balance vs. carbohydrate-nitrogen ratio. Proc Am Soc Hortic Sci 29:240–245.

    CAS  Google Scholar 

  • Loomis WE (1953) Growth correlation. In Loomis WE (Ed). Growth and differentiation in plants. IA State Coll Press, Ames, Iowa.

    Google Scholar 

  • Lorio PL Jr (1986) Growth-differentiation balance: A basis for understanding southern pine beetle-tree interactions. For Ecol Manage 14:259–273.

    Article  Google Scholar 

  • Lorio PL Jr (1988) Growth-differentiation balance relationships in pines affect their resistance to bark beetles (Coleoptera: Scolytidae). In Mattson WJ, Levieux J, Bernard-Dagan C (Eds). Mechanisms of woody plant defenses against insects. Springer-Verlag, New York.

    Google Scholar 

  • Lorio PL Jr, Hodges JD (1977) Tree water status affects induced southern pine beetle attack and brood production. US For Serv Res Pap SO-135.

    Google Scholar 

  • Lorio PL Jr, Sommers RA (1986) Evidence of competition for photosynthates between growth processes and oleoresin synthesis in Pinus taeda L. Tree Physiol 2:301–306.

    CAS  Google Scholar 

  • Lorio PL Jr, Sommers RA, Blanche CA, Hodges JD, Nebeker TE (1990) Modeling pine resistance to bark beetles based on growth and differentiation balance principles. In Dixon RK, Meldahl RS, Ruark GA, Warren WG (Eds). Process modeling of forest growth responses to environmental stress. Timber Press, Portland OR.

    Google Scholar 

  • Martinat PJ (1987) The role of climatic variation and weather in forest insect outbreaks. In Barbosa P, Schultz JC (Eds). Insect outbreaks. Academic Press, San Diego, CA.

    Google Scholar 

  • Marx DH (1988) Southern forest atlas project. In The 81st annual meeting of The Association Dedicated to Air Pollution Control and Hazardous Waste Management (APCA), Dallas, Texas, 1988.

    Google Scholar 

  • McNulty SG, Vose JM, Swank WT, Aber JD, Federer CA (1994) Landscape scale forest modeling: Data base development, model predictions and validation using a geographic information system. Clim Res 4:223–231.

    Article  Google Scholar 

  • McNulty SG, Vose JM, Swank WT (1997) Scaling predicted pine forest hydrology and productivity across the southern United States. In Quattrochi DA, Goodchild ME (Eds) Scaling in remote sensing and GIS. Lewis Publishers, Chelsea, MI.

    Google Scholar 

  • McNulty SG, Vose JM, Swank WT (1996a) Loblolly pine hydrology and productivity across the Southern United States. For Ecol Manage 86:241–251.

    Article  Google Scholar 

  • McNulty SG, Vose JM, Swank WT (1996b) Potential climate change affects on loblolly pine productivity and hydrology across the southern United States. Ambio 25(7):449–453.

    Google Scholar 

  • Michaels PJ (1984) Climate and the southern pine beetle in Atlantic coastal and piedmont regions. For Sci 30:143–156.

    Google Scholar 

  • Michaels PJ, Sappington DE, Spengler PJ, Phillip J (1986) SPBCMP-A program to assess the likelihood of major changes in the distribution of southern pine beetle infestations. S J Appl For 10:158–161

    Google Scholar 

  • Mitchell JFB (1989) The greenhouse effect and climate change. Rev Geophys 27(1): 115–139.

    Article  Google Scholar 

  • Nikolov NT, Zeller KF (1992) A solar radiation algorithm for ecosystem dynamic models. Ecol Model 61:149–168.

    Article  Google Scholar 

  • Price PW (1991) The plant vigor hypothesis and herbivore attack. Oikos 62:244–251.

    Article  Google Scholar 

  • Price TS, Doggett C (1982) A history of southern pine beetle outbreaks in the southeastern United States. GA For Comm, Macon, GA.

    Google Scholar 

  • Price TS, Doggett C, Pye JM, Holmes TP (1992) A history of southern pine beetle outbreaks in the southeastern United States. GA For Comm, Macon, GA.

    Google Scholar 

  • Pritchett WL (1979) Properties and management of forest soils. John Wiley and Sons, New York.

    Google Scholar 

  • Reeve JD, Ayres MP, Lorio PL Jr (1995) Host suitability, predation, and bark beetle population dynamics. In Cappuccino N, Price P (Eds) Population dynamics. Academic Publishers, New York.

    Google Scholar 

  • Rhodes DF (1979) Evolution of plant chemical defense against herbivores. In Rosenthal GA, Janzen DH (Eds) Herbivores: Their interaction with secondary plant metabolites. Academic Press, New York.

    Google Scholar 

  • St George RA (1930) Drought-affected and injured trees attractive to bark beetles. J Econ Entomol 59:955–957.

    Google Scholar 

  • Schlesinger ME, Zhao ZC (1989) Seasonal climatic change introduced by doubled CO2 as simulated by the OSU atmospheric GCM/mixed-layer ocean model. J Climate 2:429–495.

    Article  Google Scholar 

  • Strain BR, Higginbotham KO, Mulroy JC (1976) Temperature preconditioning and photo-synthetic capacity of Pinus taeda L. Photosyn 10:47–53.

    Google Scholar 

  • Swain KM, Remoin MC (1981) Direct control methods for the southern pine beetle. USD A Agric Handbook 575:15.

    Google Scholar 

  • Turchin P, Lorio PL Jr, Taylor AD, Billings RF (1991) Why do populations of southern pine beetle (Coleoptera: Scolytidae) fluctuate? Environ Entom 20:401–409.

    Google Scholar 

  • Waring GL, Cobb NS (1992) The impact of plant stress on herbivore population dynamics. In Bernays EA (Ed) Plant-insect interactions. CRC Press, Boca Raton, FL.

    Google Scholar 

  • White TCR (1974) A hypothesis to explain outbreaks of looper catepillars, with special reference to populations of Selidosema suavis in a plantatiion of Pinus radiata in New Zealand. Oecologia, 16:279–301.

    Article  Google Scholar 

  • Wyman L (1924) Bark-beetle epidemics and rainfall deficiency. USD A For Ser Bull 8:2–3.

    Google Scholar 

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Authors
  1. Steven G. McNulty
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  2. Peter L. Lorio Jr.
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  3. Matthew P. Ayres
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  4. John D. Reeve
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Editor information

Editors and Affiliations

  1. ManTech Environmental Technology, Inc., Raleigh, NC, 27606, USA

    Robert A. Mickler

  2. USDA Forest Service Southern Research Station, Raleigh, NC, 27606, USA

    Susan Fox

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© 1998 Springer-Verlag New York, Inc.

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McNulty, S.G., Lorio, P.L., Ayres, M.P., Reeve, J.D. (1998). Predictions of Southern Pine Beetle Populations Using a Forest Ecosystem Model. In: Mickler, R.A., Fox, S. (eds) The Productivity and Sustainability of Southern Forest Ecosystems in a Changing Environment. Ecological Studies, vol 128. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-2178-4_33

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  • DOI: https://doi.org/10.1007/978-1-4612-2178-4_33

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4612-7446-9

  • Online ISBN: 978-1-4612-2178-4

  • eBook Packages: Springer Book Archive

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