Shuai Fang, Jing Ren, Marc William Cadotte, Zuoqiang Yuan, Zhanqing Hao, Xugao Wang, Fei Lin, Claire Fortunel
{"title":"Disturbance history, neighborhood crowding and soil conditions jointly shape tree growth in temperate forests.","authors":"Shuai Fang, Jing Ren, Marc William Cadotte, Zuoqiang Yuan, Zhanqing Hao, Xugao Wang, Fei Lin, Claire Fortunel","doi":"10.1007/s00442-024-05570-7","DOIUrl":null,"url":null,"abstract":"<p><p>Understanding how different mechanisms act and interact in shaping communities and ecosystems is essential to better predict their future with global change. Disturbance legacy, abiotic conditions, and biotic interactions can simultaneously influence tree growth, but it remains unclear what are their relative contributions and whether they have additive or interactive effects. We examined the separate and joint effects of disturbance intensity, soil conditions, and neighborhood crowding on tree growth in 10 temperate forests in northeast China. We found that disturbance was the strongest driver of tree growth, followed by neighbors and soil. Specifically, trees grew slower with decreasing initial disturbance intensity, but with increasing neighborhood crowding, soil pH and soil total phosphorus. Interestingly, the decrease in tree growth with increasing soil pH and soil phosphorus was steeper with high initial disturbance intensity. Testing the role of species traits, we showed that fast-growing species exhibited greater maximum tree size, but lower wood density and specific leaf area. Species with lower wood density grew faster with increasing initial disturbance intensity, while species with higher specific leaf area suffered less from neighbors in areas with high initial disturbance intensity. Our study suggests that accounting for both individual and interactive effects of multiple drivers is crucial to better predict forest dynamics.</p>","PeriodicalId":19473,"journal":{"name":"Oecologia","volume":" ","pages":"295-306"},"PeriodicalIF":2.3000,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Oecologia","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1007/s00442-024-05570-7","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/6/2 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"ECOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Understanding how different mechanisms act and interact in shaping communities and ecosystems is essential to better predict their future with global change. Disturbance legacy, abiotic conditions, and biotic interactions can simultaneously influence tree growth, but it remains unclear what are their relative contributions and whether they have additive or interactive effects. We examined the separate and joint effects of disturbance intensity, soil conditions, and neighborhood crowding on tree growth in 10 temperate forests in northeast China. We found that disturbance was the strongest driver of tree growth, followed by neighbors and soil. Specifically, trees grew slower with decreasing initial disturbance intensity, but with increasing neighborhood crowding, soil pH and soil total phosphorus. Interestingly, the decrease in tree growth with increasing soil pH and soil phosphorus was steeper with high initial disturbance intensity. Testing the role of species traits, we showed that fast-growing species exhibited greater maximum tree size, but lower wood density and specific leaf area. Species with lower wood density grew faster with increasing initial disturbance intensity, while species with higher specific leaf area suffered less from neighbors in areas with high initial disturbance intensity. Our study suggests that accounting for both individual and interactive effects of multiple drivers is crucial to better predict forest dynamics.
期刊介绍:
Oecologia publishes innovative ecological research of international interest. We seek reviews, advances in methodology, and original contributions, emphasizing the following areas:
Population ecology, Plant-microbe-animal interactions, Ecosystem ecology, Community ecology, Global change ecology, Conservation ecology,
Behavioral ecology and Physiological Ecology.
In general, studies that are purely descriptive, mathematical, documentary, and/or natural history will not be considered.