Stand-level spatial dependence in an old-growth Jeffrey pine-mixed conifer forest, Sierra San Pedro Martir, Mexico
Document Type: Journal Article
Author(s): D. L. Fry; S. L. Stephens
Publication Year: 2010

Cataloging Information

  • Abies concolor
  • Abies spp.
  • Canada
  • coniferous forests
  • distribution
  • fine fuels
  • fire frequency
  • fire management
  • forest management
  • fuel management
  • Jeffrey pine
  • litter
  • Mexico
  • mosaic
  • national parks
  • old growth forests
  • overstory
  • pine
  • Pinus jeffreyi
  • population density
  • snags
  • white fir
  • wildfires
Record Maintained By:
Record Last Modified: June 1, 2018
FRAMES Record Number: 48956
Tall Timbers Record Number: 25211
TTRS Location Status: In-file
TTRS Call Number: Journals - C
TTRS Abstract Status: Okay, Fair use, Reproduced by permission

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Descriptions of spatial patterns are important components of forest ecosystems, providing insights into functions and processes, yet basic spatial relationships between forest structures and fuels remain largely unexplored. We used standardized omnidirectional semivariance modeling to examine the spatial pattern of fuels and forest structure measured in a systematic nested plot grid covering 144 ha. Forest structure variables were spatially dependent at scales ranging from 62 to 572 m. Cross-variograms of fuels and forest structure showed both positive and negative correlations, ranging from 0.04 to 0.67. Notably, fine fuels were correlated positively and negatively with forest structure variables of white fir (Abies concolor (Gord. & Glend.) Lindl. ex Hildebr.) and Jeffrey pine (Pinus jeffreyi Balf.), respectively. Old-growth Jeffrey pine-mixed conifer forest within the study area exhibited both identifiable spatial correlations and high stand-level spatial heterogeneity, as demonstrated by the influence of outliers on the underlying spatial pattern. The spatial dependency of fuels with species-specific variables suggests that less common species may have a large influence in the characterization of forest attributes and that fuel classifications may be improved by accounting for the spatial distributions of overstory species. Spatial correlations have many applications to forest management, including the classification and mapping of forest structure, establishing guidelines for fuel treatments, and restoration of old-growth forest ecosystems. © 2010 National Research Council of Canada, NCR Research Press. Abstract reproduced by permission.

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. Canadian Journal of Forest Research, v. 40, no. 9, p. 1803-1814. 10.1139/X10-122.