title: [Spatial pattern of forest biomass and its influencing factors in the Great Xing'an Mountains, Heilongjiang Province, China].
abstract: Based on field inventory data and vegetation index EVI (enhanced vegetation index), the spatial pattern of the forest biomass in the Great Xing'an Mountains, Heilongjiang Province was quantitatively analyzed. Using the spatial analysis and statistics tools in ArcGIS software, the impacts of climatic zone, elevation, slope, aspect and vegetation type on the spatial pattern of forest biomass were explored. The results showed that the forest biomass in the Great Xing'an Mountains was 350 Tg and spatially aggregated with great increasing potentials. Forest biomass density in the cold temperate humid zone (64.02 t x hm(-2)) was higher than that in the temperate humid zone (60.26 t x hm(-2)). The biomass density of each vegetation type was in the order of mixed coniferous forest (65.13 t x hm(-2)) > spruce-fir forest (63.92 t x hm(-2)) > Pinus pumila-Larix gmelinii forest (63.79 t x hm(-2)) > Pinus sylvestris var. mongolica forest (61.97 t x hm(-2)) > Larix gmelinii forest (61.40 t x hm(-2)) > deciduous broadleaf forest (58.96 t x hm(-2)). With the increasing elevation and slope, the forest biomass density first decreased and then increased. The forest biomass density in the shady slopes was greater than that in the sunny slopes. The spatial pattern of forest biomass in the Great Xing' an Mountains exhibited a heterogeneous pattern due to the variation of climatic zone, vegetation type and topographical factor. This spatial heterogeneity needs to be accounted when evaluating forest biomass at regional scales.
authors.forename: Xiao-Li
authors.initials: XL
authors.lastname: Wang
authors.forename: Yu
authors.initials: Y
authors.lastname: Chang
authors.forename: Hong-Wei
authors.initials: HW
authors.lastname: Chen
authors.forename: Yuan-Man
authors.initials: YM
authors.lastname: Hu
authors.forename: Lin-Lin
authors.initials: LL
authors.lastname: Jiao
authors.forename: Yu-Ting
authors.initials: YT
authors.lastname: Feng
authors.forename: Wen
authors.initials: W
authors.lastname: Wu
authors.forename: Hai-Feng
authors.initials: HF
authors.lastname: Wu
mesh_terms: D018533:Biomass; D002681:China; D002980:Climate; D065928:Forests; D028221:Larix; D028222:Picea; D028223:Pinus; D062206:Spatial Analysis; D013472:Sunlight; D013696:Temperature