首页关于本刊影响因子及获奖投稿须知订阅及广告专辑与专题学术会议绿色发表通道优秀论文 
说明:
此论文已被《生态学报》录用,现已优先出版,可查看文章PDF版本!
徐文茹,贺红士,罗旭,黄超,唐志强,刘凯,丛毓,谷晓楠,宗盛伟,杜海波.停止商业性采伐对大兴安岭森林结构与地上生物量的长期影响.生态学报,2018,(4).http://dx.doi.org/10.5846/stxb201701100076  
停止商业性采伐对大兴安岭森林结构与地上生物量的长期影响
Long-term effects of commercial harvest exclusion on forest structure and aboveground biomass in the Great Xing’an Mountains, China
投稿时间:2017-01-10  修订日期:2017-09-25
DOI: 10.5846/stxb201701100076
关键词全面停止天然林商业性采伐  分类经营  大兴安岭  森林景观  地上生物量  LANDIS PRO
Key Wordscommercial harvest exclusion policy  classification management  Great Xing’an Mountains  forest structure  aboveground biomass  LANDIS PRO
基金项目中共中央组织部“千人计划”项目、国家自然科学(41501089)、中国博士后科学(2015M580241)和国家自然科学(41301364)
作者单位E-mail
徐文茹 东北师范大学地理科学学院 xuwr284@nenu.edu.cn 
贺红士 东北师范大学地理科学学院 hehs100@nenu.edu.cn 
罗旭 宁波大学建筑工程与环境学院;宁波大学建筑工程与环境学院  
黄超 森林与土壤生态国家重点实验室中国科学院沈阳应用生态研究所  
唐志强 国家林业局大兴安岭林业调查规划设计院  
刘凯 东北师范大学地理科学学院  
丛毓 东北师范大学地理科学学院  
谷晓楠 东北师范大学地理科学学院  
宗盛伟 东北师范大学地理科学学院  
杜海波 东北师范大学地理科学学院  
摘要点击次数 59
全文下载次数 8
摘要:
采伐是北方森林最主要的人为干扰之一,过去高强度采伐导致森林植被组成单一化和均质化。为提高森林的生态功能和经济效益,国家先后于2000年实施 “天然林资源保护工程”、2014年实施全面停止天然林商业性采伐。为评价这两种政策下不同的采伐干扰对森林的直接影响,以大兴安岭林区为研究对象,采用空间直观景观模型LANDIS PRO,模拟比较2000—2100年“天然林资源保护工程”、全面停止商业性采伐政策下森林树种组成、年龄结构及森林地上生物量的长期变化特征及其差异性。研究结果表明:1)模型初始化的林分密度、地上生物量与2000年野外调查数据相吻合(P<0.01),模型模拟结果具有较高的可靠性;2)对比分类经营,全面停止商业性采伐的实施:增大了优势树种(落叶松与白桦)的树种组成比例,减小了保护树种(云杉与樟子松)的比例;对树种组成在中长期影响显著(P<0.05),降低了树种组成结构的多样性;总体上增加了林分平均胸高断面积,减小了林分密度;3)模型模拟100年,全面停止商业性采伐下中幼龄林向成熟林过渡,改善森林年龄结构;4)与分类经营相比,整个模拟时期内全面停止商业性采伐增加森林地上生物量,提高森林恢复速率,有助于森林地上总生物量的恢复与累积。但保护树种(云杉与樟子松)森林地上生物量在一定程度上有所下降,不利于提高珍贵树种的丰度。对评估森林管理方案在森林资源恢复上的作用和有效实施森林生态系统管理有重要的参考意义。
Abstract:
Boreal forests retain larger carbon reserves than other biomes. The boreal forests of China are in the Great Xing’an Mountains region, which contains approximately 24~31% of the total forest carbon storage in China, and thus plays an important role in maintaining the national carbon balance. Timber harvest is a major anthropogenic disturbance in boreal forests, affecting forest structure and aboveground forest biomass over the long term. High-intensity harvest has resulted in simplification and homogenization of forest structure and composition in the past. Therefore, the Natural Forest Conservation Policy and the Commercial Harvest Exclusion Policy were successively implemented in 2000 and 2014, respectively, to balance ecological restoration and timber supply. The objective of this study was to investigate long-term effects of Commercial Harvest Exclusion on the structure and biomass of a boreal forest landscape in northeastern China. To do this, we simulated the effects of Natural Forest Conservation and Commercial Harvest Exclusion on forest structure and biomass using a spatially explicit forest landscape model (LANDIS PRO).We initialized the model using forest inventory data (second and third tier data from 2000) and conducted simulations for the Great Xing’an Mountains from 2000 to 2100. Our results suggested that 1) density and basal area between the initialized modeling results and forest inventory data in 2000 were consistent (P < 0.01), suggesting that the initialized model results could represent the real forest landscape, and harvest results adequately represented real harvest events. 2) Larch and birch were now dominant, whereas a low proportion of aspen and spruce was present. Compared to the Natural Forest Conservation scenario, the Commercial Harvest Exclusion reduced the diversity of tree species by raising the proportion of the dominant species (larch and birch) and reducing the proportion of protected rare species (pine and spruce). There was a significant effect on forest composition in the medium and long-term periods. Overall, basal area was higher and density was lower under the Commercial Harvest Exclusion scenario than those under the Natural Forest Conservation scenario. 3) Commercial Harvest Exclusion strongly decreased tree abundance in the early stage and increased their abundance in the late, old-growth stage. 4) Compared to the Natural Forest Conservation scenario, the simulated biomass and rate of forest regeneration increased under the Commercial Harvest Exclusion scenario across all simulation periods. Commercial Harvest Exclusion helped to increase overall forest biomass, but reduced the biomass of pine and spruce, two rare and economically important species, suggesting that greater intensity of sylvicultural treatments are needed. These results could help to develop a forest management policy for the region.
HTML 查看全文   查看/发表评论  下载PDF阅读器

您是本站第 65581464 位访问者

Copyright © 2005-2019   京ICP备06018880号
地址:北京海淀区双清路18号
  邮编:100085    电话:010-62941099
  E-mail : shengtaixuebao@rcees.ac.cn
本系统由北京勤云科技发展有限公司提供技术支持