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New Zealand Journal of Botany abstracts


New Zealand's potential forest pattern as predicted from current species-environment relationships

J. R. LEATHWICK

Landcare Research
Private Bag 3127
Hamilton, New Zealand

Abstract  New Zealand's potential forest composition was predicted from regressions relating the distributions of major canopy tree species to environment. Environmental variables, chosen for their correspondence to major tree physiological processes, included annual and seasonal temperature and solar radiation, soil and atmospheric water deficit, soil leaching, slope, and soil parent material and drainage. Environmental values were estimated both for a large set of irregularly distributed plots describing forest composition, and points on a 1-km grid across New Zealand. Regressions were fitted to the plot data species by species, with those for the four Nothofagus species also including terms to correct for the effects of their geographic disjunctions. Regressions for other species contained both environmental variables and terms to account for their competitive interactions with the patchily distributed but strongly competitive Nothofagus species. Predictions of species abundance were then made for the grid data set, and the resulting matrix was classified to derive groups of similar composition. Results agree closely with published descriptions of New Zealand's forests, including for sites long deforested. They are expected to provide a context for both the assessment of the biodiversity value of surviving forest remnants and for the subsequent management and/or restoration of these sites.

Keywords  broadleaved; climate; competition; conifer; conservation; forest; landform; Nothofagus; prediction; regression

B00046
Received 24 October 2000; accepted 8 February 2001

New Zealand Journal of Botany, 2001, Vol. 39: 447-464

0028-825X/01/3903-0447 $7.00 (c) The Royal Society of New Zealand 2001

PDF file of entire paper: medium quality (8293K); (scanned from paper original: notes about this process)


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