Tree sapling vitality and recovery following the unprecedented 2018 drought in central Europe

Beloiu Schwenke, Mirela; Schönlau, Valeska; Beierkuhnlein, Carl

doi:10.1016/j.fecs.2023.100140

Cited by 5 publications

(1 citation statement)

References 67 publications

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“…(An example of such events is the extreme and long-lasting hotter drought and heatwaves from 2018 and 2019 that affected forests in Central Europe [20,21] or windstorm Klaus, one of the most devasting windstorms in Europe [22]. As such events left a significant footprint in forest stands, followed by large economic and ecological losses, modern tools such as machine learning [22] or remote sensing and geographic information systems [23] are very useful to build better models to predict forest damage caused by windstorms [22] or to accurately monitor fire intensity and damages [23].…”

Section: Summary Of Main Outputs and Findingsmentioning

confidence: 99%

Forest Functioning under Climate Warming and Future Perspectives on Forest Disturbances

Mary Petritan,

Beloiu Schwenke

2023

Forests

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The Special Issue “Impact of climate warming and disturbances on forest ecosystems” underscores the critical importance of understanding how forests respond to these environmental challenges and the legacy of past management practices. Forest ecosystems are facing significant challenges due to ongoing climate change, characterized by rising temperatures and increased frequency of extreme events. The rapid pace of climate change is altering disturbance patterns and the adaptability of forests, which have a direct impact on ecosystem services that contribute to human well-being. This Special Issue features 11 research papers from nine countries. Some key outputs from these research papers include evidence on how climate change is already impacting forest ecosystems. For instance, the climatic envelope of many forest species has shifted due to global warming, making species more vulnerable, especially in lower elevations and at the edges of their distribution. Urgent adaptive measures in forest management are necessary to address this challenge. Climate change also affects vegetation phenology, tree growth, stand productivity, reproduction rates, and stand regeneration. Remote sensing data and ecological modeling techniques play a crucial role in monitoring and understanding these changes, especially in remote regions where field measurements are limited. The rising frequency and intensity of extreme events like droughts, windstorms, and forest fires require enhanced prediction and automatic monitoring. Leveraging machine learning tools and remote sensing data is imperative. This Special Issue provides insights into the intricate relationships among forests, climate change, and human interventions. We provide further research recommendations for the quantification and automated monitoring of forest fires and the management of forests to better withstand storms and increase their resilience to climate change.

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