Soil properties affect pinyon pine - juniper response to drought

Ecohydrology

Volumn 6, Issue 3, 2013, Pages 455-463

  Peterman, Wendy ^a   Waring, Richard H ^b   Seager, Trent ^b   Pollock, William L ^b  

^a Conservation Biology Institute ^*  (United States)

^b OREGON STATE UNIVERSITY   (United States)

Author keywords

Bark beetles; Precipitation; Process based model; Remote sensing; Soil properties; Water balance

Indexed keywords

BARK BEETLE; BARK BEETLE ATTACKS; GROSS PHOTOSYNTHESIS; PHYSIOLOGICAL PRINCIPLES; PINYON-JUNIPER WOODLANDS; PROCESS-BASED MODELS; SOIL PROPERTY; WATER BALANCE;

DIGITAL STORAGE; DROUGHT; PHOTOSYNTHESIS; PHYSIOLOGICAL MODELS; PRECIPITATION (CHEMICAL); REMOTE SENSING; SATELLITE IMAGERY; SOIL SURVEYS; SOILS;

FORESTRY;

CLIMATE CONDITIONS; CONIFEROUS TREE; DROUGHT; ECOLOGICAL IMPACT; FOREST SOIL; GROWTH MODELING; LEAF AREA INDEX; MORTALITY; PHOTOSYNTHESIS; PRECIPITATION (CLIMATOLOGY); REMOTE SENSING; SATELLITE IMAGERY; SOIL PROPERTY; SOIL WATER; WATER BUDGET; WOODLAND;

DROUGHT; FORESTRY; INSECTS; PHOTOSYNTHESIS; PHYSIOLOGY; PRECIPITATION; REMOTE SENSING; SOIL;

COLEOPTERA; JUNIPERUS; PINUS EDULIS; SCOLYTINAE;

EID: 84879414746     PISSN: 19360584     EISSN: 19360592     Source Type: Journal    
DOI: 10.1002/eco.1284     Document Type: Article

References (51)

1. Allen CD, Macalady AK, Chenchouni H, Bachelet D, McDowell N, Vennetier M, Kitzberger T, Rigling A, Breshears DD, Hogg EH, Gonzales P, Fensham R, Zhang Z, Castro J, Demidova N, Lim J-H, Allard G, Running SW, Semerci A, Cobb N. 2010. A global overview of drought and heat-induced tree mortality reveals emerging climate change risks for forests. Forest Ecology and Management 259: 660-684.
2. Barger NN, Adams HD, Woodhouse C, Neff JC, Asner GP. 2009. Influence of grazing and climate on pinyon pine (Pinus edulis) dynamics. Rangeland Ecology & Management 62: 531-539.
3. Betancourt JL, Pierson EA, Aasen-Rylander KJ, Fairchild-Parks A, Dean JS. 1993. Influence of history and climate on New Mexico pinyon-juniper woodlands. In Managing pinyon-juniper ecosystems for sustainability and social needs: Proceedings of the symposium, Santa Fe, NM, April 26-30. General Technical Report RM-236, Aldron EF, Shaw DW (eds). USDA Forest Service: Fort Collins, CO; 42-62.
4. Breshears DD, Myers OB, Meyer CW, Barnes FJ, Zou CB, Allen CD, McDowell NG, Pockman WT. 2009. Tree die-off in response to global change-type drought: mortality insights from a decade of plant water potential measurements. Frontiers in Ecology and the Environment 7: 185-189.
5. Bristow KL, Campbell GS. 1984. On the relationship between incoming solar radiation and daily maximum and minimum temperature. Agricultural and Forest Meteorology 31: 159-166.
6. Burns RM, Honkala BH. 1990. Silvics of North America, Vol. 1, Conifers. Agriculture Handbook 654, U.S.D.A. Forest Service: Washington DC. http://www.na.fs.fed.us/pubs/silvics_manual/table_of_contents.shtm (accessed 2011.08.06).
7. Christiansen E, Waring RH, Berryman AA. 1987. Resistance of conifers to bark beetle attack: searching for general relationships. Forest Ecology and Management 22: 89-106.
8. Cobb NS, Mopper S, Gehring A, Caouette M, Christensen KM. 1997. Increased moth herbivory associated with environmental stress of pinyon pine at local and regional levels. Oecologia 109: 389-397.
9. Coops NC, Black TA, Jassal RS, Trofumow JA, Morgenstem K. 2007. Comparison of MODIS, eddy covariance determined and physiologically modeled gross primary production (GPP) in a Douglas-fir forest stand. Remote Sensing of Environment 107: 385-401.
10. Coops NC, Waring RH. 2011. Estimating the vulnerability of fifteen tree species under changing climate in Northwest North America. Ecological Modelling 222: 2119-2129.
11. Coops NC, Waring RH, Landsberg JJ. 1998. Assessing forest productivity in Australia and New Zealand using a physiologically-based model driven with averaged monthly weather data and satellite derived estimates of canopy photosynthetic capacity. Forest Ecology and Management 104: 113-127.
12. Coops NC, Waring RH, Moncrieff JB. 2000. Estimating mean monthly incident solar radiation on horizontal and inclined slopes from mean monthly temperature extremes. International Journal of Biometeorology 44: 204-211.
13. Floyd ML, Clifford M, Cobb NS, Hanna D, Delph R, Ford P, Turner D. 2009. Relationship of stand characteristics to drought-induced mortality in three southwestern piñon-juniper woodlands. Ecological Applications 19: 1223-1230.
14. Gray ST, Betancourt JL, Jackson ST, Eddy RG. 2006. Role of multidecadal climate variability in a range extension of pinyon pine. Ecology 87: 1124-1130.
15. Greenwood DL, Weisberg PJ. 2008. Density-dependent tree mortality in pinyon-juniper woodlands. Forest Ecology and Management 255: 2129-2137.
16. Hadley JL. 2000. Effect of daily minimum temperature on photosynthesis in eastern hemlock Tsuga canadensis L. in autumn and winter. Arctic, Antarctic, and Alpine Research 32: 368-374.
17. Huang C, Goward SN, Masek JG Thomas N, Zhu Z, Vogelmann JE. 2010. An automated approach for reconstructing recent forest disturbance history using dense Landsat time series stacks. Remote Sensing of Environment 114: 183-198.
18. Jenkins JC, Chojnacky DC, Heath LS, Birdsey RA. 2003. National-scale biomass estimators for United States tree species. Forest Science 49: 12-35.
19. Kennedy RE, Cohen WB, Schroeder TA. 2007. Trajectory-based change detection for automated characterization of forest disturbance dynamics. Remote Sensing of Environment 110: 370-386.
20. Kimball JS, Running SW, Nemani R. 1997. An improved method for estimating surface humidity from daily minimum temperature. Agricultural and Forest Meteorology 85: 87-98.
21. Koch GW, Sillett SC, Jennings GM, Davis SD. 2004. The limits to tree height. Nature 428: 851-854.
22. Lajtha K, Barnes FJ. 1991. Carbon gain and water use in pinyon pine-juniper woodlands of northern New Mexico: field versus phytotron chamber measurements. Tree Physiology 9: 59-67.
23. Lajtha K, Getz J. 1993. Photosynthesis and water-use efficiency in pinyon-juniper communities along an elevation gradient in northern New Mexico. Oecologia 94: 95-101.
24. Landsberg J. 2003. Modeling forest ecosystems: state of the art, challenges, and future directions. Canadian Journal of Forest Research 33: 385-397.
25. Landsberg JJ, Waring RH. 1997. A generalised model of forest productivity using simplified concepts of radiation-use efficiency, carbon balance and partitioning. Forest Ecology and Management 95: 209-228.
26. Landsberg JJ, Waring RH, Coops NC. 2003. Performance of the forest productivity model 3-PG applied to a wide range of forest types. Forest Ecology and Management 172: 199-214.
27. Larsson S, Oren R, Waring RH, Barrett JW. 1983. Attacks of mountain pine beetle as related to tree vigor of ponderosa pine. Forest Science 29: 395-402.
28. Law BE, Waring RH, Anthoni PM, Aber JD. 2000. Measurements of gross and net productivity and water vapor exchange of a Pinus ponderosa ecosystem, and an evaluation of two generalized models. Global Change Biology 6: 155-168.
29. Mäkelä A, Landsberg J, Alan R, Ek AR, Burk TE, Ter-Mikaelian M, Ågren GI, Oliver CD, Puttonen P. 2000. Process-based models for forest ecosystem management: current state of the art and challenges for practical implementation. Tree Physiology 20: 289-298.
30. McDowell N, Pockman WT, Allen CD, Kolb T, Plaut J, Sperry J, West A, Williams DG, Yepez EA. 2008. Mechanisms of plant survival and mortality during drought: why do some plants survive while others succumb to drought? New Phytologist 178: 719-739.
31. Mitchell RG, Waring RH, Pitman GB. 1983. Thinning lodgepole pine increases tree vigor and resistance to mountain pine beetle. Forest Science 29: 204-211.
32. Negrón JF, Wilson JL. 2003. Attributes associated with probability of infestation by piñon ips, Ips confuses (Coleoptera: Scolytidae), in piñon pine, Pinus edulis. Western North American Naturalist 63: 440-451.
33. Nightingale JM, Phinn SR, Held AA. 2004. Ecosystem process models at multiple scales for mapping tropical forest productivity. Progress in Physical Geography 28: 241-281.
34. N.R.C.S. 2011. U.S.D.A. Soil Survey Geographic (SSURGO) Database for [AZ, NM, CO, UT]. Available online at http://soildatamart.nrcs.usda.gov (accessed 2011.02.26).
35. Ogle K, Whitham TG, Cobb NS. 2000. Tree-ring variation in pinyon predicts likelihood of death following severe drought. Ecology 81: 3237-3243.
36. Pangle RE, Hill JP, Plaut JA, Yepez EA, Elliot HR, Gehres N, McDowell NG, Pockman WT. 2012. Methodology and performance of a rainfall manipulation experiment in a piñon-junper woodland. Ecosphere 3(4): 28. http://dx.doi.org/10.1890/ES11-00369.1.
37. Plaut JA, Yepez EA, Hill J, Pangle R, Sperry JS, Pockman WT, McDowell NG. 2012. Hydraulic limits preceding mortality in a piñon pine-juniper woodland under experimental drought. Plant, Cell & Environment DOI: 10.1111/j.1365-3040.2012.02512.x.
38. Safranyik L, Carroll AL, Régnière J, Langor DW, Riel WG, Shore TL, Peter B, Cooke BJ, Nealis VG, Taylor SW. 2010. Potential for range expansion of mountain pine beetle into the boreal forest of North America. The Canadian Entomologist 142: 415-442.
39. Schwinning S, Davis K, Richardson L, Ehleringer JR. 2002. Deuterium enriched irrigation indicates different forms of rain use in shrub/grass species of the Colorado Plateau. Oecologia 130: 345-355.
40. Shaw JD, Steed BE, DeBlander LT. 2005. Forest inventory and analysis (FIA) annual inventory answers the question: what is happening to pinyon-juniper woodlands? Journal of Forestry 103: 280-285.
41. Sheppard PR, Comrie AC, Packin GD, Angersbach K, Hughes MK. 2002. The climate of the US Southwest. Climate Research 21: 219-238.
42. Soares JV & Almeida AC. 2001. Modeling the water balance and soil water fluxes in a fast growing Eucalyptus plantation in Brazil. Journal of Hydrology 253: 130-147.
43. U.S.D.A. 2008. Pinyon pine (Pinus edulis) bark beetle mortality maps (2000-2004): Data Source: USDA Forest Service, Forest Health Technology Enterprise Team. http://www.mpcer.nau.edu/pjwin/pjmaps.htm (accessed 2011.05.10).
44. Waring RH, Law BE, Goulden ML, Bassow SL, McCreight RC, Wofsy SC, Bazzaz FA. 1995. Scaling daytime gross ecosystem production at Harvard Forest with remote sensing: a comparison of estimates from a constrained quantum-use efficiency model and eddy correlation. Plant, Cell & Environment 18: 1201-1213.
45. Waring RH, McDowell N. 2002. Using a physiological process model with forestry yield tables to set limits on annual carbon balances. Tree Physiology 22: 179-188.
46. Waring RH, Nordmeyer A, Whitehead D, Hunt J, Newton M, Thomas C, Irvine J. 2008. Why is the productivity of Douglas-fir higher in New Zealand than in the Pacific Northwest, USA? Forest Ecology and Management 255: 4040-4046.
47. Waring RH, Pitman GB. 1983. Physiological stress in lodgepole pine as a precursor for mountain pine beetle attack. Zeitschrift fur angewandte Entomologie 1: 265-270.
48. Weiss JL, Gutzler DS, Coonrod JEA, Dahm CN. 2004. Seasonal and inter-annual relationships between vegetation and climate in central New Mexico, USA. Journal of Arid Environments 57: 507-534.
49. West AG, Hultine KR, Sperry JS, Bush SE, Ehleringer JR. 2008. Transpiration and hydraulic strategies in a pinon-juniper woodland. Ecological Applications 18: 911-927.
50. White MA, Asner GP, Nemani R, Privette JL, Running SW. 2000. Measuring fractional cover and leaf area index in arid ecosystems: digital camera, radiation transmittance, and laser altimetry methods. Remote Sensing of Environment 74: 45-57.
51. Williams D G, Snyder KA. 2003. Responses of woody plants to heterogeneity of soil water in arid and semiarid environments. In Changing Precipitation Regimes and Terrestrial Ecosystems: A North American Perspective, Weltzin JF, McPherson GR (eds). University of Arizona Press: Tucson, Arizona, USA; 28-46.