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不同经营措施对蒙古栎次生林韧性的影响OA

Effects of different management measures on resilience of Quercus mongolica secondary forests

中文摘要英文摘要

[目的]揭示不同经营措施对东北地区蒙古栎次生林韧性的影响,为该区域森林适应性经营与生态修复提供科学依据.[方法]在长白山林区设置 12个 1 hm2 样地,采用随机区组设计,实施传统经营(TM)、目标树经营 1(CTR1,目标树80株/hm2)、目标树经营 2(CTR2,目标树 120株/hm2)及对照(CK)4 种处理,并于 2013、2018 和 2023 年开展 3 期调查.依据森林韧性理论框架,从抵抗力(优势木胸径、加权高径比、角尺度)、恢复力(大小多样性、树种多样性、郁闭度)和适应性(树种组成和顶极种竞争力)3个维度选取 8项指标构建综合评价指标体系,采用主客观赋权相结合的单位圆法计算森林韧性综合指数,分析不同经营措施在短期(5年后)及中期(10 年后)对森林韧性的影响.[结果](1)所构建的指标体系在统计学与生态学上均具有合理性,各指标相关性较低、信息互补性较强,综合赋权法能够有效区分不同经营措施对森林韧性的影响.(2)目标树经营和传统经营均显著提高了林分大小多样性、加权高径比和郁闭度(p<0.05).此外,目标树经营还显著促进了优势木胸径增长.(3)伐后 5 年,CTR2 的韧性提升幅度最大且达到显著水平;伐后 10 年,两种目标树经营均显著提升了韧性,而传统经营与对照处理的森林韧性整体未见显著增强.(4)中短期内经营对森林韧性的提升主要来源于抵抗力和恢复力的增强.[结论]低强度的目标树经营,尤其是目标树密度为 120 株/hm2 的处理(CTR2),在短期与中期效果上均表现最佳.该经营措施能够通过优化径级结构、改善优势木生长条件和增强功能冗余,协同提升蒙古栎次生林的抵抗力与恢复力,是增强温带次生林韧性的有效途径;而适应性的提升则更多依赖于长期的结构调整与演替过程.

[Objective]To quantify the effects of different management measures on the resilience of Mongolian oak(Quercus mongolica)secondary forests in northeastern China,and to provide a scientific basis for adaptive forest management and ecological restoration in the region.[Method]Twelve permanent 1-ha plots were established in the Changbai Mountain area and arranged in a randomized block design with four treatments:traditional management(TM),crop-tree release with a target tree density of 80 trees per hectare(CTR1),crop-tree release with a target tree density of 120 trees per hectare(CTR2),and control(CK).Forest inventories were conducted in 2013,2018,and 2023.Based on the theoretical framework of forest resilience,eight indicators were selected from three dimensions:Resistance(dominant tree diameter,weighted height-diameter ratio,uniform angle index),Recovery(size diversity,tree species diversity,canopy cover),and Adaptability(species composition,and competitiveness of climax species)to construct a comprehensive evaluation index system.A combined subjective-objective weighting approach and the unit-circle method were applied to calculate the resilience composite index(RCI)and to assess the effects of different management measures on forest resilience after 5 and 10 years.[Result](1)The proposed indicator system was ecologically and statistically robust,with low inter-indicator correlations and strong information complementarity,and the combined weighting method effectively distinguished resilience responses among management treatments.(2)Both crop-tree release and traditional management significantly increased size diversity,weighted height-diameter ratio,and canopy cover(p<0.05),while crop-tree release further promoted the diameter growth of dominant trees.(3)Five years after cutting,CTR2 showed the largest and significant increase in RCI;ten years after cutting,both crop-tree treatments exhibited significant improvement,whereas TM and CK showed no significant enhancement of resilience.(4)The improvement of forest resilience in the short and medium term mainly comes from the enhancement of resistance and recovery.[Conclusion]Low-intensity crop-tree release,particularly CTR2 with a crop-tree density of 120 trees per hectare,demonstrated optimal short-and medium-term effects.By optimizing size structure,improving the growth conditions of dominant trees,and enhancing functional redundancy,this approach simultaneously strengthens resistance and recovery of Quercus mongolica secondary forests and represents an effective approach to improve resilience in temperate secondary forests.Enhancement of adaptability,however,depends on longer-term structural adjustment and successional processes.

周超凡;雷相东;胡雪凡;赵阳;刘迪;李圣涛;丁易;卢军;张会儒

林木资源高效生产全国重点实验室,中国林业科学研究院资源信息研究所,北京 100091林木资源高效生产全国重点实验室,中国林业科学研究院资源信息研究所,北京 100091北京市园林绿化科学研究院,北京 100102吉林长白山森工汪清林业有限公司,吉林 汪清 133200中国林业科学研究院华北林业实验中心,北京 102300河北农业大学林学院,河北 保定 071000中国林业科学研究院森林生态环境与自然保护研究所,北京 100091林木资源高效生产全国重点实验室,中国林业科学研究院资源信息研究所,北京 100091林木资源高效生产全国重点实验室,中国林业科学研究院资源信息研究所,北京 100091

农业科技

森林韧性综合指数抵抗力恢复力目标树经营适应性管理

forest resilience composite indexresistancerecoverycrop-tree releaseadaptive management

《北京林业大学学报》 2026 (2)

103-113,11

国家重点研发计划(2023YFE0105100-4),国家自然科学基金项目(32501645).

10.12171/j.1000-1522.20250521

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