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大兴安岭呼中林区粗木质残体贮量及其环境梯度

王文娟1,2;常禹1;刘志华1,2;陈宏伟1,2;荆国志3;张红新3;王金海4   

  1. 1中国科学院沈阳应用生态研究所, 沈阳 110016; 2中国科学院研究生院, 北京 100049; 3大兴安岭呼中林业局, 黑龙江呼中 165036;4大兴安岭呼中国家级自然保护区, 黑龙江呼中 165036
  • 收稿日期:2008-07-21 修回日期:1900-01-01 出版日期:2009-04-20 发布日期:2009-04-20

Coarse woody debris loading capacity and its environmental gradient in Huzhong forest area of Great Xing’an Mountains.

WANG Wen-juan1,2;CHANG Yu1;LIU Zhi-hua1,2;CHEN Hong-wei1,2;JING Guo-zhi3;ZHANG Hong-xin3;WANG Jin-hai4   

  1. 1Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China;2Graduate University of Chinese Academy of Sciences, Beijing 100049, China;3Huzhong Forestry Bureau in the Great Xing’an Mountains, Huzhong 165036, Heilongjiang, China;4Huzhong National Nature Reserve in the Great Xing’an Mountains, Huzhong 165036, Heilongjiang, China
  • Received:2008-07-21 Revised:1900-01-01 Online:2009-04-20 Published:2009-04-20

摘要: 对大兴安岭呼中林区主要植被类型、兴安落叶松不同林型内粗木质残体贮量进行对比研究,并利用除趋势典范对应分析对其环境梯度进行定量分析.结果表明:云杉林粗木质残体贮量较高,为0.20 m3·hm-2,且不同植被类型之间呈显著性差异;兴安落叶松不同林型粗木质残体贮量在0~0.28 m3·hm-2,其中偃松群落最高,为0.28 m3·hm-2,泥炭藓-杜香-落叶松林最低(0),且各林型之间差异不显著.粗木质残体贮量分布格局较复杂,受多因素交叉影响;海拔、坡位等地形因子和林分年龄、郁闭度等林分条件是影响森林粗木质残体贮量的主要环境因子,二者综合作用表达了该地区森林粗木质残体贮量的空间生态梯度.

关键词: 金属型纳米颗粒, 吸收累积, 植物毒性, 生态毒理效应

Abstract: The coarse woody debris (CWD) loading capacity of main forest types and of different larch forest communities in Huzhong area of Great Xing’〖KG-*4〗an Mountains was investigated, with its environmental gradient analyzed by Detrended Canonical Correspondence Analysis (DCCA). The CWD loading capacity varied significantly with forest type, being the highest (020 m3·hm-2) in spruce forest (Picea koraiensis). Different larch forest (Larix gmelinii) communities had a CWD loading capacity from 0 to 028 m3·hm-2, with the highest in Pinus pumila-Larix gmelinii (028 m3·hm-2) and the lowest in Sphagnum magellanicum-Ledum palustre-Larix gmelinii (0), but the differences were not significant. The CWD loading capacity across the study area was complicated, which might result from the complex interplay of affecting factors. The main factors affecting the spatial pattern of the CWD loading capacity were topographic factors (elevation and slope position) and stand structure (age, canopy cover, and others), and the interaction between topographic factors and stand structure expressed the spatial gradient of CWD loading capacity in Huzhong area of Great Xing’an Mountains.

Key words: metal-based nanoparticles, absorption and accumulation, phytotoxicity, eco-toxicological effect.