Reference conditions and historical fine-scale spatial dynamics in a dry mixed-conifer forest, Arizona, USA

Forest Science

Volumn 62, Issue 3, 2016, Pages 268-280

  Rodman, Kyle C ^a   Sánchez Meador, Andrew J ^b   Huffman, David W ^b   Waring, Kristen M ^b  

^a UNIVERSITY OF COLORADO   (United States)

^b NORTHERN ARIZONA UNIVERSITY   (United States)

Author keywords

Community ecology; Dendrochronological reconstruction; Dry mixed conifer; Frequent fire forests; Spatial statistics

Indexed keywords

CONSERVATION; ECOLOGY; FIRES;

COMMUNITY ECOLOGY; DRY-MIXED CONIFERS; FREQUENT-FIRE FORESTS; MANAGEMENT ACTIVITIES; MIXED-SPECIES FORESTS; REFERENCE CONDITION; REPRODUCTIVE STRATEGY; SPATIAL STATISTICS;

FORESTRY;

EID: 84974855844     PISSN: 0015749X     EISSN: None     Source Type: Journal    
DOI: 10.5849/forsci.15-136     Document Type: Article

References (95)

1. Abella, S.R., and C.W. Denton. 2009. Spatial variation in reference conditions: Historical tree density and pattern on a Pinus ponderosa landscape. Can. J. For. Rees. 39(12):2391-2403.
2. Applequist, M.B. 1958. A simple pith locator for use with off-center increment cores. J. For. 56(2):141.
3. ARPPE, A. 2013. polytomous: Polytomous logistic regression for fixed and mixed effects. R package version 0.1.6, R Foundation for Statistical Computing, Vienna, Austria.
4. Baddeley, A., P.J. Diggle, A. Hardegen, T. Lawrence, R.K. Milne, and G. Nair. 2014. On tests of spatial pattern based on simulation envelopes. Ecol. Monogr. 84(3):477-489.
5. Baddeley, A., and R. Turner. 2005. spatstat: An R package for analyzing spatial point patterns. J. Stat. Softw. 12(6):1-42.
6. Baker, W.L. 2015. Are high-severity fires burning at much higher rates recently than historically in dry-forest landscapes of the western USA? PloS One 10(9):e0136147.
7. Bakker, J.D. 2005. A new, proportional method for reconstructing historical tree diameters. Can. J. For. Res. 35(10):2515-2520.
8. Bakker, J.D., A.J. Sanchez Meador, P.Z. Fule, D.W. Huffman, and M.M. Moore. 2008. “Growing trees backwards”: Description of a stand reconstruction model. P. 106-115 in Fort Valley Experimental Forest—A century of research, 2008 August 7—9, Flagstaff, AZ, Olberding, S.D., and M.M. Moore (eds.). USDA For. Serv., Conf. Proc. RMRS-P-55, Rocky Mountain Research Station, Fort Collins, CO.
9. Battaglia, M.A., P. Mou, B. Palik, and R.J. Mitchell. 2002. The effect of spatially variable overstoryon theunderstorylightenvironment of an open-canopied longleaf pine forest. Can. J. For. Res. 32(11):1984-1991.
10. Besag, L. 1977. Contributions to the discussion of Dr. Ripley’s paper. J. R. Stat. Soc. 39:193-195.
11. Bigelow, S.W., M.P. North, and C.F. Salk. 2011. Using light to predict fuels-reduction and group-selection effects on succession in Sierran mixed-conifer forest. Can. J. For. Res. 41(10):2051-2063.
12. Bivand, R. 2014. spdep: Spatial dependence: Weighting schemes, statistics and models. R package version 0.5-77, R Foundation for Statistical Computing, Vienna, Austria.
13. Brown, P.M., and R. Wu. 2005. Climate and disturbance forcing of episodic tree recruitment in a southwestern ponderosa pine landscape. Ecolog 86(11):3030-3038.
14. Burns, R.M., and B.H. Honkala (eds.). 1990a. Silvics of North America, Vol. 1: Conifers. USDA For. Serv., Agri. Handbk. 654, Washington, DC. 683 p.
15. Burns, R.M., and B.H. Honkala (eds.). 1990b. Silvics of North America, Vol. 2: Hardwoods. USDA For. Serv., Agri. Handbk. 654, Washington, DC. 1711 p.
16. Canham, C.D. 1989. Different responses to gaps among shade-tolerant tree species. Ecology 70(3):548-550.
17. Churchill, D.J., A.J. Larson, M.C. Dahlgreen, J.F. Franklin, P.F. Hessburg, and J.A. Lutz. 2013. Restoring forest resilience: From reference spatial patterns to silvicultural prescriptions and monitoring. For. Ecol. Manage. 291:442-457.
18. Cliff, A.D., and J.K. Ord. 1981. Spatial processes—Models and applications. Pion, London, UK. 266 p.
19. Covington, W.W., and M.M. Moore. 1994. Southwestern ponderosa forest structure: Changes since Euro-American settlement. J. For. 92(1):39-47.
20. Curtis, J.T., and R.P. McIntosh. 1951. An upland forest continuum in the prairie-forest border region of Wisconsin. Ecology 32(3): 476-496.
21. Dils, C., C. Boyd, and A. White. 2015. Forest insect and disease conditions in the Southwestern Region, 2013. USDA For. Serv., For. Health, PR-R3-16-12, Southwestern Region, Albuquerque, NM. 50 p.
22. Dore, S., M. Montes-Helu, S.C. Hart, B.A. Hungate, G.W. Koch, J.B. Moon, A.J. Finkral, and T.E. Kolb. 2012. Recovery of ponderosa pine ecosystem carbon and water fluxes from thinning and stand-replacing fire. Glob. Change Biol. 18(10):3171-3185.
23. Edminster, C.B., R.L. Mathiasen, and W.K. Olsen. 1991. A method for constructingsite indexcurves from height-age measurements appliedto Douglas-fir in the Southwest. USDA For. Serv., Res. Note RM-510, Rocky Mountain Forest and Range Experimental Station, Fort Collins, CO.6p.
24. Environmental Systems Research Institute. 2011. ArcGIS desktop, release 10, Environmental Systems Research Institute, Redlands, CA.
25. Evans, A.M., R.G. Everett, S.L. Stephens, and J.A. Youtz. 2011. Comprehensivefuelstreatmentpracticesguideformixed-coniferforests:Cal-ifornia, central and southern Rockies, and the Southwest. Forest Guild, Santa Fe, NM. 106 p.
26. Fairweather, M.L., B.W. Geils, and M. Manthei. 2008. Aspen decline on the Coconino National Forest. P. 53-62 in Proc. of the 55th western international forest disease work conference, McWilliams, M., and P. Pa-lacious. (eds.). Oregon Department of Forestry, Salem, OR. 133 p.
27. Fry, D.L., and S.L. Stephens. 2010. Stand-level spatial dependence in an old-growth Jeffrey pine-mixed-conifer forest, Sierra San Pedro Martir, Mexico. Can. J. For. Res. 40(9):1803-1814.
28. Fule, P.Z., W.W. Covington, and M.M. Moore. 1997. Determining reference conditions for ecosystem management of southwestern ponderosa pine forests. Ecol. Appl. 7(3):895-908.
29. Fule, P.Z., W.W. Covington, M.M. Moore, T.A. Heinlein, and A.E. Waltz. 2002. Natural variability in forests of the Grand Canyon, USA. J. Biogeog. 29(1):31-47.
30. Fule, P.Z., J.E. Korb, and R. Wu. 2009. Changes in forest structure of a mixed-conifer forest, southwestern Colorado, USA. For. Ecol. Manage. 258:1200-1210.
31. Ganey, J.L., and R.P. Balda. 1989. Distribution and habitat use of Mexican spotted owls in Arizona. Condor 91(2):355-361.
32. Goreaud, F., and R. Pelissier. 2003. Avoiding misinterpretation of biotic interactions with the intertype K12-function: Population independence vs. random labelling hypotheses. J. Veg. Sci. 14(5):681-692.
33. Griffis, K.L., J.A. Crawford, M.R. Wagner, and W.H. Moir. 2001. Understory response to management treatments in northern Arizona ponderosa pine forests. For. Ecol. Manage. 146:239-245.
34. Hadley, K.S., and T.T. Veblen. 1993. Stand response to western spruce budworm and Douglas-fir bark beetle outbreaks, Colorado Front Range. Can. J. For. Res. 23(3):479-491.
35. Heinlein, T.A., M.M. Moore, P.Z. Fule, and W.W. Covington. 2005. Fire historyand stand structure of two ponderosa pine-mixed-conifer sites: San Francisco Peaks, Arizona, USA. Int. J. Wildl. Fire 14(3):307-320.
36. Huffman, D.W., M.M. Moore, W.W. Covington, J.E. Crouse, and P.Z. Fule. 2001. Ponderosa pine forest reconstruction: Comparisons with historical data. P. 3-8 in Ponderosa pine ecosystems restoration and conservation: Steps toward stewardship, 2000 April 25—27, Flagstaff, AZ, Vance, G.K., C.B. Edminster, W.W. Covington, and J.A. Blake (eds.). USDA For. Serv., Conf. Proc. RMRS-P-22, Rocky Mountain Research Station, Fort Collins, CO. 200 p.
37. Huffman, D.W., T.J. Zegler, and P.Z. Fule. 2015. Fire history of a mixed-conifer forest on the Mogollon Rim, northern Arizona, USA. Int. J. Wildl. Fire 24(5) 680-689.
38. Keane, R.E., P.F. Hessburg, P.B. Landres, and F.J. Swanson. 2009. The use of historical range and variability (HRV) in landscape management. For. Ecol. Manage. 258:1025-1037.
39. Korb, J.E., M.L. Daniels, D.C. Laughlin, and P.Z. Fule. 2007. Understory communities of warmdry, mixed-conifer forests in southwestern Colorado. Southw. Naturalist 52(4):493-503.
40. Larson, A.J., and D.J. Churchill. 2012. Tree spatial patterns in fire-frequent forests of western North America, including mechanisms of pattern formation and implications for designing fuel reduction and restoration treatments. For. Ecol. Manage. 267:74-92.
41. Larson, A.J., K.C. Stover, and CR. Keyes. 2012. Effects of restoration thinning on spatial heterogeneity in mixed-conifer forest. Can. J. For. Res. 42(8):1505-1517.
42. LAUGHLIN, D.C., M.M. Moore, J.D. BAKKER, C.A. Casey, J.D. Springer, P.Z. Fule, and W.W. Covington. 2006. Assessing targets for the restoration of herbaceous vegetation in ponderosa pine forests. Restor. Ecol. 14(4):548-560.
43. Loosmore, N.B., and E.D. Ford. 2006. Statistical inference using the G or Κ point pattern spatial statistics. Ecology 87(8):1925-1931.
44. Lotwick, H.W., and B.W. Silverman. 1982. Methods for analyzing spatial processes of several types of points. J. R. Stat. Soc. Ser. B. 44(3):406-413.
45. Lutz, J.A., A.J. Larson, M.E. Swanson, and J.A. Freund. 2012. Ecological importance of large-diameter trees in a temperate mixed-conifer forest. PloS One 7(5):e0036131.
46. Lydersen, J.M., M.P. North, E.E. Knapp, and B.M. Collins. 2013. Quantifying spatial patterns of tree groups and gaps in mixed-conifer forests: Reference conditions and long-term changes following fire suppression and logging. For. Ecol. Manage. 304:370-382.
47. Maser, C., R.G. Anderson, K. Cromack, J.T. Williams, and R.E. Martin. 1979. Dead and down woody material. P. 78-95 in Wildlife habitats in managed forests: The Blue Mountains of Oregon and Washington, Thomas, J.W., R.G. Anderson, C. Maser, and E.L. Bull (eds.). USDA For. Serv., Agri. Handbk. 654, Washington, DC. 512 p.
48. Mast, J.N., P.Z. Fule, M.M. Moore, W.W. Covington, and A.E. Waltz. 1999. Restoration of presettlement age structure of an Arizona ponderosa pine forest. Ecol. Appl. 9(1):228-239.
49. Mast, J.N., and T.T. Veblen. 1999. Tree spatial patterns and stand development along the pine-grassland ecotone in the Colorado Front Range. Can. J. For. Res. 29(5):575-584.
50. Mast, J.N., and J.J. Wolf. 2004. Ecotonal changes and altered tree spatial patterns in lower mixed-conifer forests, Grand Canyon National Park, Arizona, USA. Land. Ecol. 19(2):167-180.
51. Matern, B. 1960. Spatial variation: Stochastic models and their application to some problems in forest surveys and other sampling investigations. Rep. Swed. Inst. Exp. For. 49(5):1-144.
52. Matonis, M.S., D. Binkley, M. Tuten, and T. Cheng. 2013. The forests they are a-changin ‘—Ponderosa pine and mixed-conifer forests on the Un-compahgre Plateau in 1875 and 2010—2013. Colorado Forest Restoration Institute, Fort Collins, CO. 34 p.
53. Meyer, C.L., T.D. Sisk, and W.W. Covington. 2001. Microclimatic changes induced by ecological restoration of ponderosa pine forests in northern Arizona. Restor. Ecol. 9(4):443-452.
54. Millar, C.I., N.L. Stephenson, and S.L. Stephens. 2007. Climate change and forests of the future: Managing in the face of uncertainty. Ecol.Applic. 17(8):2145-2151.
55. Moore, M.M., C.A. Casey, J.D. Bakker, J.D. Springer, P.Z. Fule, W.W. Covington, and D.C. Laughlin. 2006. Herbaceous vegetation responses (1992-2004) to restoration treatments in a ponderosa pine forest. Range. Ecol. Manage. 59(2):135-144.
56. Moore, M.M., D.W. Huffman, J.D. Bakker, A.J. SAnchez Me-Ador, D.M. Bell, P.Z. Fule, P.F. Parysow, and W.W. Covington. 2004a. Quantifying forest reference conditions for ecological restoration: The Woolsey plots. Ecological Restoration Institute, Flagstaff, AZ. 56 p.
57. Moore, M.M., D.W. Huffman, P.Z. Fule, and W.W. Covington. 2004b. Comparison of historical and contemporary forest structure and composition on permanent plots in southwestern ponderosa pine forests. For. Sci. 50(2):162-176.
58. Natural Resources Conservation Service. 2015. US Department of Agriculture web soil survey. Available online at websoilsurvey.nrcs.usda.gov/; last accessed Feb. 15, 2015.
59. North, M.P., J. Chen, B. Oakley, B. Song, M. Rudnicki, A. Gray, and J. INNES. 2004. Forest stand structure and pattern of old-growth western hemlock/Douglas-fir and mixed-conifer forests. For. Sci. 50(3):299-311.
60. North, M.P., J. Innes, and H. Zald. 2007. Comparison of thinning and prescribed fire restoration treatments to Sierran mixed-conifer historic conditions. Can. J. For. Res. 37(2):331-342.
61. O’connor, C.D., D.A. Falk, A.M. Lynch, and T.W. Swetnam. 2014. Fire severity, size, and climate associations diverge from historical precedent along an ecological gradient in the Pinaleno Mountains, Arizona, USA. For. Ecol. Manage. 329:264-278.
62. O’Hara, K.L., and L.M. NAGEL. 2006. A functional comparison of productivity in even-aged and multiaged stands: A synthesis for Pinus ponderosa. For. Sci. 52(3):290-303.
63. O’neill, R.V., C.T. Hunsaker, S.P. Tlmmins, B.L. Jackson, K.B. Jones, K.H. Rutters, and J.D. Wickham. 1996. Scale problems in reporting landscape pattern at the regional scale. Land. Ecol. 11(3):169-180.
64. O’Reilly, M.P., A.J. SAnchezMeador, and K.C. Rodman. 2015. Using growth releases to identifydisturbance events in southwestern drymixed-conifer. Undergraduate Research Project, Northern Arizona University, Flagstaff, AZ. 3 p.
65. Puhlick, J.J., D.C. Laughlin, and M.M. Moore. 2012. Factors influencing ponderosa pine regeneration in the southwestern USA. For. Ecol. Manage. 264:10-19.
66. Puhlick, J.J., M.M. Moore, and A.R. Weiskittel. 2013. Factors influencing height-age relationships and recruitment of ponderosa pine regeneration in northern Arizona. West. J. Appl. For. 28(3):91-96.
67. RCORE TEAM. 2014. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria.
68. Reynolds, R.T., A.J. Sanchez Meador, J.A. Youtz, T. Nicolet, M.S. Matonis, P.L. Jackson, D.G. DeLorenzo, and A.D. Graves. 2013. Restoring composition and structure in southwestern frequent-fire forests: A science-based framework for improving ecosystem resiliency. USDA For. Serv., Gen. Tech. Rep. RMRS-GTR-310, Rocky Mountain Research Station, Fort Collins, CO. 76 p.
69. Ripley, B.D. 1977. Modeling spatial patterns (with discussion). J.R. Stat. Soc. Ser. B. 39(2):172-212.
70. Ripley, B.D. 1988. Statistical inference for spatialprocesses. Cambridge University Press, Cambridge, UK. 160 p.
71. Rodman, K.C. 2015. Reference conditions and spatial dynamics in a southwestern dry mixed-conifer forest. MSc Thesis, Northern Arizona Univ., Flagstaff, AZ. 188 p.
72. Romme, W.H., M.L. Floyd, D. Hanna, and E.J. Bartlett. 2009. Historical range of variabilityandcurrent landscape condition analysis: South Central Highlands Section, Southwestern Colorado and Northwestern New Mexico. Colorado Forest Restoration Institute, Fort Collins, CO. 256 p.
73. Rosenthal, R. 1995. Writing meta-analytic reviews. Psychol. Bull. 118(2):183-192.
74. Sanchez Meador, A.J., and M.M. Moore. 2010. Lessons from long-term studies of harvest methods in southwestern ponderosa pine-Gambel oak forests on the Fort Valley Experimental Forest, Arizona, USA. For. Ecol. Manage. 260:193-206.
75. Sanchez Meador, A.J., M.M. Moore, J.D. Bakker, and P.F. Parysow. 2009. 108 years of change in spatial pattern following selective harvest of a Pinusponderosa stand in northern Arizona, USA. J. Veg. Sci. 20(1):79-90.
76. Sanchez Meador, A.J., P.F. Parysow, and M.M. Moore. 2011. A new method for delineating tree patches and assessing spatial reference conditions of ponderosa pine forests in northern Arizona. Restor. Ecol. 19(4):490-499.
77. Schneider, E.E., A.J. Sanchez Meador, and W.W. Covington. 2016. Reference conditions and historical changes in an unharvested ponderosa pine stand on sedimentary soil. Restor. Ecol. In press. doi: 10.1111/rec.12296.
78. Schoennagel, T., T.T. Veblen, and W.H. Romme. 2004. The interaction of fire, fuels and climate across Rocky Mountain forests. BioScience 54(7):661-676.
79. Stephens, S.L., and D.L. Fry. 2005. Spatial distribution of regeneration patches in an old-growth Pinus jeffreyi-mixed-conifer forest in northwestern Mexico. J. Veg. Sci. 16(6):693-702.
80. Strauss, D.J. 1975. A model for clustering. Biometrik 63:467-475.
81. Stuever, M., and J. Hayden. 1997. Plant associations of Arizona and New Mexico. Vol. 1: Forests, ed. 3. USDA For. Serv., Southwestern Region, Albuquerque, NM. 301 p.
82. Stokes, M.A., and T.L. Smiley. 1968. An introduction to tree-ring dating. University of Chicago Press, Chicago, IL. 73 p.
83. Swetnam, T.W., and C. H. Baisan. 1996. Historical fire regime patterns in the Southwest since AD 1700. P. 11-32 in Fire effects in southwestern forests: Proc. of the Second La Mesa Fire symposium; 1994 March 29—31, Los Alamos, NM, Allen, C.D. (ed.). USDA For. Serv., Gen. Tech. Rep. RM-GTR-286, Rocky Mountain Forest and Range Experiment Station, Fort Collins, CO. 216 p.
84. Swetnam, T.W., and J.L. Betancourt. 1998. Mesoscale disturbance and ecological response to decadal climatic variability in the American Southwest. J. Climate 11:3128-3147.
85. Swetnam, T.M., and A.M. Lynch. 1993. Multicentury, regional-scale patterns of western spruce budworm outbreaks. Ecol. Monogr. 63:399-424.
86. Thaxton, J.M., and W.J. Platt. 2006. Small-scale fuel variation alters fire intensity and shrub abundance in a pine savanna. Ecology 87(5):1331-1337.
87. Turner, M.G. 1989. Landscape ecology: The effect of pattern on process. Annu. Rev. Ecol. Syst. 20:171-197.
88. Tuten, M.C., A.J. Sanchez Meador, and P.Z. Fule. 2015. Ecological restoration and fine-scale structural regulation in southwestern ponderosa pine forests. For. Ecol. Manage. 348:57-67.
89. USDA Forest Service. 2014. Coconino National Forest GIS data. Available online at www.fs.usda.gov/detail/r3/landmanagement/gis/? cid=stelprdb5209303; last accessed Mar. 12, 2014.
90. USDA Forest Service. 2015. Fire Effects Information System (FEIS). Available online at www.feis-crs.org/; last accessed Feb. 5, 2015.
91. US General Accounting Office. 1972. Report to the Subcommittee on Conservation and Natural Resources Committee on Government Operations, House of Representatives: Review of proposed changes to the Colorado Plateaupulpwoodsale contract. Jan 25th, 1972, Washington, DC. Available online at www.gao.gov/assets/210/204529.pdf; last accessed Apr. 23, 2015.
92. US Geological Survey. 2004. National Gap Analysis Program: Provisional digital land cover map for the Southwest, version 1.0. Available online at earth.gis.usu.edu/swgap/; last accessed Mar. 23, 2015.
93. Vankat, J.L. 2011. Post-1935 changes in forest vegetation of Grand Canyon National Park, Arizona, USA: Part 2—Mixed conifer, spruce-fir, and quaking aspen forests. For. Ecol. Manage. 261:326-341.
94. Western Regional Climate Center. 2005. Chevelon R S, Arizona: Period of record monthly climate summary. 5/1/1959 to 3/31/2005. Available online at www.wrcc.dri.edu/cgi-bin/cliMAIN.pl?azchev; last accessed Apr. 15, 2015.
95. Williams, M.A., and W.L. Baker. 2012. Spatially extensive reconstructions show variable-severity fire and heterogeneous structure in historical western United States dry forests. Global Ecol. Biogeogr. 21(10):1042-1052.