黑龙江省大兴安岭森林生物量空间格局及其影响因素

应用生态学报

黑龙江省大兴安岭森林生物量空间格局及其影响因素

王晓莉^1,2,常禹^1**,陈宏伟¹,胡远满¹,焦琳琳^1,2,冯玉婷³,吴文^1,2,伍海峰^1,2

(¹中国科学院沈阳应用生态研究所森林与土壤生态国家重点实验室, 沈阳 110164; ²中国科学院大学, 北京 100049; ^3辽宁省环境科学研究院, 沈阳 110031)

出版日期:2014-04-18 发布日期:2014-04-18

Spatial pattern of forest biomass and its influencing factors in the Great Xing’an Mountains, Heilongjiang Province, China.

WANG Xiao-li^1,2, CHANG Yu¹, CHEN Hong-wei¹, HU Yuan-man¹, JIAO Lin-lin^1,2, FENG Yu-ting³, WU Wen^1,2, WU Hai-feng^1,2

(¹State Key Laboratory of Forest and Soil Ecology, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110164, China; ^2University of Chinese Academy of Sciences, Beijing 100049, China; ^3Liaoning Academy of Environmental Sciences, Shenyang 110031, China)

Online:2014-04-18 Published:2014-04-18

摘要/Abstract

摘要：

基于样地实测数据和EVI指数,定量分析了黑龙江省大兴安岭森林生物量空间格局,并利用ArcGIS软件的空间分析与统计工具,分析了气候区、海拔、坡度、坡向和植被类型对森林生物量空间格局的影响.结果表明: 黑龙江省大兴安岭森林生物量为350 Tg,空间上呈聚集分布,生物量有巨大的增长空间.森林生物量密度大小顺序为:寒温带湿润区(64.02 t·hm^-2)＞中温带湿润区(60.26 t·hm^-2);各植被类型生物量密度大小顺序为:针阔混交林(65.13 t·hm^-2)＞云冷杉林(63.92 t·hm^-2)＞偃松落叶松林(63.79 t·hm^-2)＞樟子松林(61.97 t·hm^-2)＞兴安落叶松林(61.40 t·hm^-2)＞落叶阔叶混交林(58.96 t·hm^-2).随海拔和坡度的增大,森林生物量密度先减小后增加,并且阴坡大于阳坡.大兴安岭森林生物量空间格局随气候区、植被类型和地形因子的梯度变化表现出差异性,在区域尺度上估算生物量密度时,需要充分考虑这种空间差异性.

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·hm^-2) was higher than that in the temperate humid zone (60.26 t·hm^-2). The biomass density of each vegetation type was in the order of mixed coniferous forest (65.13 t·hm^-2) > sprucefir forest (63.92 t·hm^-2) > Pinus pumila-Larix gmelinii forest (63.79 t·hm^-2) > Pinus sylvestris var. mongolica forest (61.97 t·hm^-2) > Larix gmelinii forest (61.40 t·hm^-2) > deciduous broadleaf forest (58.96 t·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.

王晓莉1,2,常禹1**,陈宏伟1,胡远满1,焦琳琳1,2,冯玉婷3,吴文1,2,伍海峰1,2. 黑龙江省大兴安岭森林生物量空间格局及其影响因素[J]. 应用生态学报.

WANG Xiao-li1,2, CHANG Yu1, CHEN Hong-wei1, HU Yuan-man1, JIAO Lin-lin1,2, FENG Yu-ting3, WU Wen1,2, WU Hai-feng1,2. Spatial pattern of forest biomass and its influencing factors in the Great Xing’an Mountains, Heilongjiang Province, China.[J]. Chinese Journal of Applied Ecology.