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: $ 28.17万
• 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: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=619011
• 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.

管理森林是经济和非木材价值的重要贡献者，但需要更好地了解管理森林（包括人工林）对景观尺度上生物多样性目标的生态贡献。鉴于J.D. Irving有限公司（JDI）的森林管理历史悠久，其种植园的建立可追溯到1957年，该公司高度重视解决这一问题。这项建议是与JDI森林研究咨询委员会（FRAC）合作提出的，该委员会由公司森林管理人员和研究人员组成。公司管理人员参与研究的所有阶段将确保将学习和知识迅速纳入管理。该景观级CRD项目将：1)利用激光雷达点云统计数据结合其他森林和站点数据，确定森林景观中优先野生动物物种的栖息地；2)规划管理和自然干扰情景下的森林和野生动物栖息地，确定其组成和结构随时间的变化；3)将目前和计划中的布莱克布鲁克区（集约管理）与集约管理程度较低的地区和保护区进行比较；4)评价管理强度对水质和水生生境的影响；5)监测不同生境类型的选定类群，包括黑溪和管理较少的林分和保护区；6)对现有管理方案和规划管理方案对生境数量和结构的影响进行空间分析。研究中需要强调的分类群包括受关注的特定鸟类、与旧森林条件相关的苔藓植物和甲虫物种、被列入受关注物种的栖息地，以及支持休闲狩猎机会的鹿种群。森林组成和结构（例如，物种组成、密度、年龄级分布、倒下和站立的枯木、大树）以及水质、水生生境和鱼类群落的指标将在目前进行评估，并对未来的条件进行预测，并在集约管理与不集约管理和不集约管理或保护区景观之间进行比较。研究成果将在未来适用于加拿大的许多地区。