Temporal patterns of forest seedling emergence across different disturbance histories

Bowd, Elle; McBurney, Lachlan; Blair, David; Lindenmayer, David B.

doi:10.1002/ece3.7568

Cited by 7 publications

(3 citation statements)

References 109 publications

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“…This negative effect was evident for shade‐tolerant species, which was expected, as these species are typically planted, and their advanced regeneration could have been damaged by logging activities. Although salvage logging is often carried out for economic reasons, it is known to cause direct harm to regeneration and can thus negatively affect forest recovery (Bowd et al., 2021; Royo et al., 2016; Taeroe et al., 2019). Furthermore, the deadwood being removed could otherwise act as a regeneration substrate, especially for spruce, when sufficiently decayed (Bače et al., 2012; Priewasser et al., 2013; Tsvetanov et al., 2018), a microsite that protects seedlings from climate stress (Marangon et al., 2022), or as an obstacle for herbivores (Hagge et al., 2019; Kramer et al., 2014; Marangon et al., 2022).…”

Section: Discussionmentioning

confidence: 99%

Recovery and resilience of European temperate forests after large and severe disturbances

Cerioni,

Brabec,

Bače

et al. 2024

Global Change Biology

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Recent observations of tree regeneration failures following large and severe disturbances, particularly under warm and dry conditions, have raised concerns about the resilience of forest ecosystems and their recovery dynamics in the face of climate change. We investigated the recovery of temperate forests in Europe after large and severe disturbance events (i.e., resulting in more than 70% canopy loss in patches larger than 1 ha), with a range of one to five decades since the disturbance occurred. The study included 143 sites of different forest types and management practices that had experienced 28 disturbance events, including windthrow (132 sites), fire (six sites), and bark beetle outbreaks (five sites). We focused on assessing post‐disturbance tree density, structure, and composition as key indicators of forest resilience. We compared post‐disturbance height‐weighted densities with site‐specific pre‐disturbance densities to qualitatively assess the potential for structural and compositional recovery, overall and for dominant tree species, respectively. Additionally, we analyzed the ecological drivers of post‐windthrow tree density, such as forest management, topography, and post‐disturbance aridity, using a series of generalized additive models. The descriptive results show that European temperate forests have been resilient to past large and severe disturbances and concurrent climate conditions, albeit with lower resilience to high‐severity fire compared with other disturbance agents. Across sites and disturbance agents, the potential for structural recovery was greater than that of compositional recovery, with a large proportion of plots becoming dominated by early‐successional species after disturbance. The models showed that increasing elevation and salvage logging negatively affect post‐windthrow regeneration, particularly for late‐successional species, while pioneer species are negatively affected by increasing summer aridity. These findings provide a key baseline for assessing future recovery and resilience following the recent occurrence of widespread disturbance in the region and in anticipation of future conditions characterized by increasing heat and drought stress.

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Section: Discussionmentioning

confidence: 99%

Recovery and resilience of European temperate forests after large and severe disturbances

Cerioni,

Brabec,

Bače

et al. 2024

Global Change Biology

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“…The nature of the mild disturbance nature of the chamfi mining method might have promoted higher initial seedling development and better subsequent growth and survival ( Aleksandrowicz-Trzcińska et al., 2014 ). That is, different disturbance regimes create favourable environmental conditions that facilitate germination and seedling emergence necessary for plant community assembly ( Bowd et al., 2021 ). Our results are commensurate with several other studies that reveal better initial seedling recruitment with different intensities of disturbance (e.g., Chapagain et al., 2021 ; Damptey et al., 2021 ; Collins et al., 2001 ).…”

Section: Discussionmentioning

confidence: 99%

Mining methods exert differential effects on species recruitment at artisanal small-scale mining sites in Ghana

Asare

Ansong

Kyereh

et al. 2022

Heliyon

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“…However, proper forest monitoring requires more than the location and extent of disturbances. It would also be essential to automatically identify the drivers of the detected disturbances since each type of driver (i.e., harvesting, wildfires, windstorms or insect plagues) has different implications for forest management agents [22][23][24]. Forest agencies have traditionally derived this information from pre-existing databases [25][26][27][28], visual interpretation of very high-resolution images (VHR-imagery) [29] or even field work.…”

Section: Introductionmentioning

confidence: 99%

Automatic Identification of Forest Disturbance Drivers Based on Their Geometric Pattern in Atlantic Forests

2022

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Monitoring forest disturbances has become essential towards the design and tracking of sustainable forest management. Multiple methodologies have been developed to detect these disturbances. However, few studies have focused on the automatic detection of disturbance drivers, an essential task as each disturbance has different implications for the functioning of the ecosystem and associated management actions. Wildfires and harvesting are two of the major drivers of forest disturbances across different ecosystems. In this study, an automated methodology is presented to automatically distinguish between the two once the disturbance is detected, using the properties of its geometry and shape. A cluster analysis was performed to automatically individualize each disturbance and afterwards calculate its geometric properties. Using these properties, a decision tree was built that allowed for the distinction between wildfires and harvesting with an overall accuracy of 91%. This methodology and further research relating to it could pose an essential aid to national and international agencies for incorporating forest-disturbance-driver-related information into forest-focused reports.

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Temporal patterns of forest seedling emergence across different disturbance histories

Abstract: This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Cited by 7 publications

References 109 publications

Recovery and resilience of European temperate forests after large and severe disturbances

Recovery and resilience of European temperate forests after large and severe disturbances

Mining methods exert differential effects on species recruitment at artisanal small-scale mining sites in Ghana

Automatic Identification of Forest Disturbance Drivers Based on Their Geometric Pattern in Atlantic Forests

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