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Tuesday, May 19, 2020 | History

2 edition of Identifying and modelling the spatial distribution dynamics of regenerating lodgepole pine found in the catalog.

Identifying and modelling the spatial distribution dynamics of regenerating lodgepole pine

Gordon Donald Nigh

Identifying and modelling the spatial distribution dynamics of regenerating lodgepole pine

by Gordon Donald Nigh

  • 206 Want to read
  • 3 Currently reading

Published by British Columbia, Ministry of Forests, Research Program in Victoria .
Written in English

    Places:
  • British Columbia,
  • British Columbia.,
  • Colombie-Britannique,
  • Colombie-Britannique.
    • Subjects:
    • Lodgepole pine -- British Columbia -- Growth.,
    • Lodgepole pine -- Spacing -- British Columbia.,
    • Lodgepole pine -- British Columbia -- Growth -- Mathematical models.,
    • Forest regeneration -- British Columbia.,
    • Pin de Murray -- Colombie-Britannique -- Croissance.,
    • Pin de Murray -- Espacement -- Colombie-Britannique.,
    • Pin de Murray -- Colombie-Britannique -- Croissance -- Modèles mathématiques.

    • Edition Notes

      StatementGordon D. Nigh.
      SeriesResearch report ;, 12, Research report (British Columbia. Ministry of Forests. Research Branch) ;, 12.
      ContributionsBritish Columbia. Ministry of Forests. Research Branch., British Columbia. Forestry Division Services Branch.
      Classifications
      LC ClassificationsSD397.P585 N54 1997
      The Physical Object
      Paginationv, 41 p. :
      Number of Pages41
      ID Numbers
      Open LibraryOL433113M
      ISBN 100772633401
      LC Control Number98141328
      OCLC/WorldCa38431342

      Targeting alternate prey to understand caribou and moose habitat management choices in a regenerating landscape: Increasing functional habitat for caribou in west-central ranges Woodland caribou calving areas and calf survival in relation to habitat selection, anthropogenic disturbance, and exposure to .   Species distribution models (SDMs) are widely used in the fields of macroecology, biogeography and biodiversity research for modelling species geographic distributions based on Cited by:

        The conceptual background for habitat distribution modelling is rooted in the niche concept (Hutchinson ). The distinction of both indirect (distal) as well as direct or resource variables (proximal) was important for theoretical advances in this field, and for testing assumptions based on the species’ niche (Austin ). T1 - Generation of spatial patterns in boreal forest landscapes. AU - Pastor, John. AU - Cohen, Yosef. AU - Moen, Ron. PY - /9/1. Y1 - /9/1. N2 - Boreal forests are composed of a few plant species with contrasting traits with respect to ecosystem functioning and spatial by:

      Species Distribution Modelling SDM is one of the fastest growing domains of ecological modelling, based on a wide variety of software that aim to interpolate the sparse data we have on where species occur, or extract functional relationships between species’ occurrence and physical factors such as . This contribution identifies spatial characteristics of tree diameter in a temperate forest in north-eastern China, based on a fully censused observational study area covering × m. Mark correlation analysis with three null hypothesis models was used to determine departure from expectations at different neighborhood distances. Tree positions are clumped at all investigated scales in all.


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Identifying and modelling the spatial distribution dynamics of regenerating lodgepole pine by Gordon Donald Nigh Download PDF EPUB FB2

Identifying and modelling the spatial distribution dynamics of regenerating lodgepole pine. Victoria: British Columbia, Ministry of Forests, Research Program, (OCoLC) Modelling spatial dynamics. In book: Invasion Dynamics, pp Cite this publication identifying the knowledge elementary students bring with them into the lesson and the ways in which.

Monserud et al. () created a spatial model of site index for lodgepole pine (Pinus contorta) in Alberta using Hutchinson's thin-plate smoothing splines with inputs of latitude, longitude.

Finally, we do not intend that this paper be seen as an exhaustive review of the state-of-the-art in modelling succession-disturbance dynamics. 2 Recent reviews of spatial models of vegetation dynamics have considered, in some depth, the conceptual and methodological underpinnings of frameworks including species distribution models (e.g.

Guisan and Zimmermann,Guisan and Thuiller, Cited by: Species composition influences management outcomes following mountain pine beetle in lodgepole pine-dominated forests.

Forest Ecology and Management. Rhoades, Charles C., and Fornwalt, Paula J. Pile burning creates a fifty-year legacy of openings in regenerating lodgepole pine forests in Colorado. Forest Ecology and Management. The spatial distribution of instream wood influences important ecological processes but has proven challenging to describe quantitatively.

We present a modified version of a previously described metric used to quantify the spatial extent and pattern of instream wood distribution, then apply this approach in evaluating the distribution of wood habitat in forested northeastern North American Cited by: 7.

Empirical models for spatial distribution of wildlife, given data from a complete census or a random sample of sites, are reviewed briefly. The use of covariates, recorded at different resolutions, for modelling spatial distribution is explored. Presentation of.

The study was conducted in Council, Alaska (64º50′ ″ N, º42′″ W), in an area where representative arctic tundra vegetation was found ().Alaska tundra was classified into 8 broad vegetation types (Johnson and Vogel ).More specifically, our study site can be defined by Eriophorum–Carex wet meadow, and spruce forest distributed within a few-kilometer-distance by: 6.

Arbitrary scale models always required the addition of spatial eigenvectors. 75% (50–%) of the known predictors were selected at scales similar to the known scale (within 3 km). In the curlew model, predictors at large, medium and small spatial scales were selected, suggesting that for appropriate landscape-scale models multiple scales.

The spatial distribution and intraspecific spatial relations among the size classes of each tree species were analyzed by single-variable and double-variable O-ring functions (Figure 3, 4).B Cited by: The main goal of this exploratory project was to quantify seedling density in post fire regeneration sites, with the following objectives: to evaluate the application of second order image texture (SOIT) in image segmentation, and to apply the object-based image analysis (OBIA) approach to develop a hierarchical classification.

With the utilization of image texture we successfully developed a Cited by: 4. Identifying the spatial pattern of wood distribution in northeastern North American streams Clifford E. Kraft a,⁎, Dana R. Warren a,1, William S. Keeton b a Department of Natural Resources, Cornell University, Ithaca, NYUSA b Rubenstein School of Environment and Natural Resources, University of Vermont, Burlington, VTUSA article info abstract.

Spatial Leaf Density-based Modelling of Teleonomic Crown Dynamics ecology, the spatial distribution of foliage in plants in this thesis is characterised in terms of spatial leaf density, which allows for a completely local description that is a priori unrestricted in terms of.

integrated GIS-spatial population dynamics model for red and grey squirrels. We use the model to investi-gate the distribution of these species in one area, Norfolk, UK, for which the distribution and abun-dance of the habitats used by squirrels are known. Norfolk was colonized by the grey squirrel in the s and subsequently red squirrels.

Spatial patterns of phenotypic variation in interior spruce and lodgepole pine tions and determine the spatial distribution of populations having similar phenotypes. The results will support the de-velopment of forest management strategies to match refor.

- LIGHT DISTRIBUTION IN MESIC GRASSLANDS: SPATIAL PATTERNS AND TEMPORAL DYNAMICS - ing box algorithm at eight different spatial scales with corresponding box sizes (side length of the gliding box, r) of1, 2, 4, 8, 16, 32 and 64 cm.

Lacunarity measures the ‘gappiness’ of the landscape element of. In contrast, with a uniform seed rain, the distribution of soil nitrogen availability was more uniform and “hotspots” were more localized. Thus, the spatial pattern of an ecosystem process (nitrogen cycling) is determined by seed dispersal and competition for light among competing by:   We evaluated spatial patterns of soil N and C mineralization, microbial community composition (phospholipid fatty acids), and local site characteristics (plant/forest floor cover, soil pH, soil %C and %N) in a ha burned black spruce forest stand in interior Alaska.

Results indicated that factors governing soil N and C mineralization varied at two different by: Typically, spatial point patterns are viewed as bounded realiza-tions of a spatial point process in R2within a spatial window W, which might be of any arbitrary shape.

Theoretically, the point pattern can be observed beyond W. A spatial point pattern is called a sampled point pattern when all theFile Size: 3MB. Methodology and Principal Findings. Aerial photographs providing GPS positions for large, canopy trees, the complete census of a ha and ha area, diameter at breast height data from haphazardly sampled trees and long-term phenology data from six trees were used to fit 1) a point process model of tree spatial distribution and 2) a generalized linear mixed-effect model of temporal variation Cited by:.

Mountain pine beetle (Dendroctonus ponderosae Hopkins; MPB) is an aggressive bark beetle that attacks numerous Pinus spp. and causes extensive mortality in lodgepole pine (Pinus contorta Douglas ex Loudon; LPP) forests in the western United States and Canada.

We used pre-outbreak LPP attributes, cumulative MPB attack severity, and areal extent.CREATING SPATIAL DISTRIBUTION MAPS 88 Creation of a Prediction model 88 Spatial Distribution of Stoats 90 Spatial Distribution of Ship Rats 90 Spatial Distribution of Weasels 90 CONCLUSION 94 5 RECOMMENDATIONS AND CONCLUSIONS ECOLOGICAL MODELLING AND GIS 95Author: Hamish Lough.Caribou and Grizzly Bear Response to Pine Forests Killed by Mountain Pine Beetle.

In west-central Alberta, pine forests comprise much of caribou and grizzly bear habitat. This project will determine the response of these threatened species to MPB-related disturbance of these areas.