MODELING ENVIRONMENTAL HETEROGENEITY IN FORESTED LANDSCAPES
MODELING ENVIRONMENTAL HETEROGENEITY IN FORESTED LANDSCAPES
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DOI:
10.1016/0022-1694(93)90133-t
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发表时间:
1993-10-01
影响因子:
6.4
通讯作者:
WILLIAMS, JE
中科院分区:
文献类型:
--
作者:
MOORE, ID;NORTON, TW;WILLIAMS, JE
Models for estimating the spatial distribution of radiation, thermal and hydrologic regimes in topographically complex forested catchments are presented. These models use topographic attributes derived from a grid-based digital elevation model (DEM) as the primary input data. The models are based on simplified representations of the underlying physics of the processes, but include the key factors that modulate system behaviour. They represent an attempt to relate pattern to process. Model SRAD is an approximate method for estimating the spatial distribution of global short-wave radiation, net long-wave radiation, net radiation and maximum, minimum and average temperature, and accounts for the effects of topographic shading. Model WET estimates spatially distributed soil water content and evapotranspiration and catchment runoff. SRAD and WET were applied to a 21.65 km2 forested area within the Brindabella Range in south-eastern Australia to illustrate the potential applications of the approach. A 20 m x 20 m grid DEM was developed for the area. The computed radiation fluxes are consistent with measurements made at Canberra. The computed average annual runoff conversion efficiency was 18.6%, which compares reasonably well with the annual runoff conversion efficiency of 17.6% measured over an 11 year period on a 97.5 ha catchment located near the study area. The study area contains five main sub-alpine forest types, as well as a small area of exotics. The computed fluxes were used to characterize the fine-scale environmental heterogeneity and environmental domains of these forest types. Average minimum temperature in the coldest month (July) and annual net radiation were two environmental variables differentiating the occurrence of the three eucalypt species (Eucalyptus pauciflora, E. fastigata and E. delegatensis) investigated.