Spatially explicit information on the species composition and structure of forest vegetation is needed at broad spatial scales for natural resource policy analysis and ecological research. We present a method for predictive vegetation mapping that applies direct gradient analysis and nearest-neighbor imputation to ascribe detailed ground attributes of vegetation to...
The integration of satellite image data with forest inventory plot data is a popular approach for mapping forest vegetation over large regions. Several methodological choices regarding spatial scale, mostly related to spatial resolution or grain, can profoundly influence forest maps developed from plot and imagery data. Yet often the consequences...
AIM: Landscape management and conservation planning require maps of vegetation
composition and structure over large regions. Species distribution models
(SDMs) are often used for individual species, but projects mapping multiple species
are rarer. We compare maps of plant community composition assembled by
stacking results from many SDMs with multivariate maps...
AIM: Landscape management and conservation planning require maps of vegetation
composition and structure over large regions. Species distribution models
(SDMs) are often used for individual species, but projects mapping multiple species
are rarer. We compare maps of plant community composition assembled by
stacking results from many SDMs with multivariate maps...
Full Text:
, Janet L. Ohmann, MatthewJ. Gregory, Heather M. Roberts & Harold
Zald
Keywords
Nearest-neighbor
Across the western US, the two most prevalent native forest insect pests are mountain pine beetle (MPB; Dendroctonus ponderosae; a bark beetle) and western spruce budworm (WSB; Choristoneura freemani; a defoliator). MPB outbreaks have received more forest management attention than WSB outbreaks, but studies to date have not compared their...
AIM: Landscape management and conservation planning require maps of vegetation
composition and structure over large regions. Species distribution models
(SDMs) are often used for individual species, but projects mapping multiple species
are rarer. We compare maps of plant community composition assembled by
stacking results from many SDMs with multivariate maps...
The Northwest Forest Plan (NWFP), which aims to conserve late-successional and old-growth forests (older forests) and associated species, established new policies on federal lands in the Pacific Northwest USA. As part of monitoring for the NWFP, we tested nearest-neighbor imputation for mapping change in older forest, defined by threshold values...
This study investigated how lidar-derived vegetation indices, disturbance history from Landsat time series (LTS)
imagery, plot location accuracy, and plot size influenced accuracy of statistical spatial models (nearest-neighbor
imputation maps) of forest vegetation composition and structure. Nearest-neighbor (NN) imputation maps were
developed for 539,000 ha in the central Oregon Cascades,...
Full Text:
composition and structure
Harold S.J. Zald a,⁎, Janet L. Ohmann a, Heather M. Roberts a, MatthewJ. Gregory a
This study investigated how lidar-derived vegetation indices, disturbance history from Landsat time series (LTS)
imagery, plot location accuracy, and plot size influenced accuracy of statistical spatial models (nearest-neighbor
imputation maps) of forest vegetation composition and structure. Nearest-neighbor (NN) imputation maps were
developed for 539,000 ha in the central Oregon Cascades,...
Full Text:
forest composition and structure
Harold S.J. Zald, Janet L. Ohmann, Heather M. Roberts, MatthewJ
This study investigated how lidar-derived vegetation indices, disturbance history from Landsat time series (LTS)
imagery, plot location accuracy, and plot size influenced accuracy of statistical spatial models (nearest-neighbor
imputation maps) of forest vegetation composition and structure. Nearest-neighbor (NN) imputation maps were
developed for 539,000 ha in the central Oregon Cascades,...