Ecological Response of Forest Vegetation Communities to Snow Damage: A Meta-Analysis
Open Access
Abstract
Damage caused by snowfall can result in broken crowns and trunks and even lead to the uprooting of forest trees. Damage or death of forest trees creates forest gaps and alters overall forest demographics, but predicting the exact nature and influence of this damage remains challenging. In general, the effects of various biotic and abiotic factors on snow damage remain understudied. To address this gap in knowledge, we conducted a meta-analysis of existing literature, ultimately screening 38 manuscripts that describe 142 plant species. Our findings indicate that snow damage significantly reduced annual litterfall, Leaf Area Index, canopy density, abundance, and area at breast height when considering plant communities. However, snow damage also tended to significantly increase Shannon’s Diversity Index, Simpson’s Diversity Index, Pielou’s Evenness Index, and diameter at breast height. In addition, at the population level, snow damage was found to significantly reduce density, abundance, and annual litterfall while significantly increasing diameter at breast height. Further, the response of different forest vegetation community characteristics to snow damage is significantly influenced by factors such as forest type, elevation, slope, and aspect.Keywords
Funding Information
- National Natural Science Foundation of China (42477031)
This publication has 84 references indexed in Scilit:
- Regeneration in European beech forests after drought: the effects of microclimate, deadwood and browsingEuropean Journal of Forest Research, 2022
- Disturbance and Biodiversity2022
- Direct and Indirect Effects of Forest Anthropogenic Disturbance on Above and Below Ground Communities and Litter DecompositionEcosystems, 2021
- The effects of forest thinning on understory diversity in China: A meta‐analysisLand Degradation & Development, 2020
- Moderate fire severity is best for the diversity of most of the pollinator guilds in Mediterranean pine forestsEcology, 2019
- Landscape‐scale consequences of differential tree mortality from catastrophic wind disturbance in the AmazonEcological Applications, 2016
- An Introduction to Disturbance Ecology2016
- Methods to estimate the between‐study variance and its uncertainty in meta‐analysisResearch Synthesis Methods, 2015
- A comparison of methods to detect publication bias in meta‐analysisStatistics in Medicine, 2001
- Forest Gap Dynamics and Tree RegenerationJournal of Forest Research, 2000