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The impact of land-use legacies and recent management on natural disturbance susceptibility in mountain forests

机译:土地利用遗址的影响及最近管理对山林自然扰动易感性的影响

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摘要

Mountain forests provide a wide range of ecosystem services, including carbon sequestration and protection from natural hazards. Forest cover in the European Alps has increased over the last century, but in recent years, these forests have experienced an increasing rate of natural disturbances by agents such as windthrow, bark beetle outbreaks, and forest fires. These disturbances pose a challenge for forest management, making it important to understand how site and stand characteristics, land use legacies and recent management influence disturbance probability. We combined a dataset of forest disturbances detected from space with in-situ forest management records, allowing us to differentiate between different types of disturbances for the Canton of Graubunden, Switzerland, in the years 2005-2018. The resulting dataset of over 28'000 attributed disturbance patches (corresponding to a disturbed forest area of ca. 23'600 ha) was combined with information on topography, forest structure, and historical forest cover. A machine-learning approach was used to investigate the non-linear and interacting relationships between potential drivers and disturbance occurrence. Natural disturbances (especially windthrow and bark beetle outbreaks) were most common at lower elevations, on shallow and south-facing slopes, and in even-aged, spruce-dominated stands with a closed canopy. Forests established in the 20th century were significantly more susceptible to natural disturbances than forests that were already present before 1880, which may be due to the uniform age and vertical structure of secondary forests, as well as legacy effects of former agricultural use. On the other hand, forest management more often took place in forests present before 1880. Management interventions (such as thinning) in turn increased the susceptibility to natural disturbances in the short term. This finding emphasizes the need to balance short-term increases in disturbance susceptibility with long-term benefits in forest resilience when planning management interventions in mountain forests. Our findings highlight the importance of considering multiple interactive drivers, including management and land-use history, for understanding forest disturbance regimes.
机译:山林提供了广泛的生态系统服务,包括固碳和抵御自然灾害。欧洲阿尔卑斯山的森林覆盖率在上个世纪有所增加,但近年来,这些森林遭受了越来越多的自然干扰,如风投、小蠹虫暴发和森林火灾。这些干扰对森林管理构成挑战,因此了解立地和林分特征、土地利用遗产和近期管理如何影响干扰概率非常重要。我们将从太空探测到的森林干扰数据集与现场森林管理记录相结合,使我们能够区分2005-2018年瑞士格劳本登州不同类型的干扰。所产生的超过28000个归因干扰斑块的数据集(相当于约23'600公顷的干扰森林面积)与地形、森林结构和历史森林覆盖率的信息相结合。采用机器学习方法研究潜在驱动因素与干扰发生之间的非线性和交互关系。自然干扰(尤其是风吹和小蠹虫暴发)最常见于低海拔、浅坡和朝南坡,以及树冠封闭的、以云杉为主的老林。20世纪建立的森林比1880年之前已经存在的森林更容易受到自然干扰,这可能是由于次生林的统一年龄和垂直结构,以及以前农业用途的遗留影响。另一方面,森林管理更多地发生在1880年以前的森林中。管理干预(如间伐)反过来会在短期内增加对自然干扰的易感性。这一发现强调,在规划山区森林管理干预措施时,需要平衡短期内干扰易感性的增加与森林恢复力的长期效益。我们的研究结果强调了考虑多种互动驱动因素的重要性,包括管理和土地使用历史,以了解森林干扰机制。

著录项

  • 来源
    《Forest Ecology and Management》 |2021年第1期|共10页
  • 作者单位

    Swiss Fed Inst Technol Inst Landscape &

    Spatial Dev Planning Landscape &

    Urban Syst PLUS Stefano Franscini Pl 5 CH-8093 Zurich Switzerland;

    Tech Univ Munich Ecosyst Dynam &

    Forest Management Grp Hans Carl von Carlowitz Pl 2 D-85354 Freising Weihenstephan Germany;

    Tech Univ Munich Ecosyst Dynam &

    Forest Management Grp Hans Carl von Carlowitz Pl 2 D-85354 Freising Weihenstephan Germany;

    Swiss Fed Inst Technol Inst Landscape &

    Spatial Dev Planning Landscape &

    Urban Syst PLUS Stefano Franscini Pl 5 CH-8093 Zurich Switzerland;

    WSL Inst Snow &

    Avalanche Res SLF Fluelastr 11 CH-7260 Davos Switzerland;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 林业;
  • 关键词

    Disturbance regime; Forest dynamics; Land-use history; Spatial modelling; Machine learning;

    机译:干扰机制;森林动态;土地利用史;空间建模;机器学习;

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