Landscape-level effects of intensive forest management on biodiversity: Integrating monitoring with retrospective and projective landscape analyses

集约型森林管理对生物多样性的景观影响：将监测与回顾性和预测性景观分析相结合

• 批准号: 495007-2016
• 负责人: MacLean, David
• 金额: $ 3.64万
• 依托单位: University of New Brunswick
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=719228
• 关键词: Landscape; level; effects; intensive; forest

Managed forests are an important contributor to both economic and non-timber values, but The ecological contribution of managed, including planted, forests to biodiversity objectives at the landscape scale needs to be better understood. Given the long history of forest management by J.D. Irving, Limited (JDI), with plantation establishment dating back to 1957, the company places a high priority on addressing this issue. This proposal was generated in collaboration with the JDI Forest Research Advisory Committee (FRAC), made up of company forest managers and researchers. Involvement of company managers in all phases of the study will ensure prompt incorporation of learning and knowledge into management. This landscape-level CRD project will: 1) use LiDAR point cloud statistics combined with other forest and site data to identify habitat for priority wildlife species across forest landscapes; 2) project forest and wildlife habitat under planned management and natural disturbance scenarios to determine changes in composition and structure over time; 3) compare current and projected Black Brook District (intensively managed) with areas with less intensive management and protected areas; 4) assess effects of management intensity on water quality and aquatic habitat; 5) monitor selected taxa in various habitat types in both Black Brook and less intensively managed (Crown) forest and reserves; and 6) conduct spatial analyses of effects of current and planned management scenarios on amount and structure of habitat. Taxa to be emphasized in the studies include specific bird species of concern, bryophytes and beetle species associated with old forest conditions, habitats identified with listed species of concern, and deer populations that support recreational hunting opportunities. Metrics of forest composition and structure (e.g., species composition, density, age-class distribution, downed and standing deadwood, large trees) and of water quality, aquatic habitat, and fish community will be evaluated at present and projected for future conditions, and compared between intensively managed and less intensively and unmanaged or reserve landscapes. Research results will be applicable in future to many areas in Canada.

管理森林对经济和非木材价值都有重要贡献，但需要更好地了解管理森林（包括人工林）对景观规模生物多样性目标的生态贡献。鉴于 J.D. Irving, Limited (JDI) 的森林管理历史悠久，其种植园的建立可追溯到 1957 年，因此该公司高度重视解决这一问题。该提案是与 JDI 森林研究咨询委员会 (FRAC) 合作制定的，该委员会由公司森林管理人员和研究人员组成。公司经理参与研究的所有阶段将确保将学习和知识迅速纳入管理中。该景观级 CRD 项目将：1）使用 LiDAR 点云统计数据与其他森林和场地数据相结合，确定整个森林景观中优先野生动物物种的栖息地； 2) 在计划管理和自然干扰情景下对森林和野生动物栖息地进行规划，以确定组成和结构随时间的变化； 3) 将当前和预计的黑溪区（集约化管理）与集约化管理程度较低的地区和保护区进行比较； 4）评估管理强度对水质和水生生境的影响； 5) 监测黑溪和较少集约管理（皇冠）森林和保护区的各种栖息地类型中的选定类群； 6) 对当前和计划的管理方案对栖息地数量和结构的影响进行空间分析。研究中要强调的分类群包括特定的受关注鸟类物种、与旧森林条件相关的苔藓植物和甲虫物种、列出的受关注物种确定的栖息地以及支持休闲狩猎机会的鹿群。目前将评估森林组成和结构（例如物种组成、密度、年龄级分布、倒伏和直立的枯木、大树）以及水质、水生栖息地和鱼类群落的指标，并预测未来的状况，并对集约化管理和非集约化、非管理或保护区景观进行比较。研究成果未来将适用于加拿大的许多地区。