Long-term growth changes of common beech (Fagus sylvatica L.) are less pronounced on highly productive sites
Author:
Publisher
Elsevier BV
Subject
Management, Monitoring, Policy and Law,Nature and Landscape Conservation,Forestry
Reference66 articles.
1. Evaluation of modelling techniques for forest site productivity prediction in contrasting ecoregions using stochastic multicriteria acceptability analysis (SMAA);Aertsen;Environ. Model. Software,2011
2. Predicting forest site productivity in temperate lowland from forest floor, soil and litterfall characteristics using boosted regression trees;Aertsen;Plant Soil,2012
3. Long-term growth trends of trees: ten years of dendrochronological studies in France;Badeau;Growth Trends European Forests,1996
4. Long-term changes in forest productivity in northeastern France: the dendroecological approach;Becker;Forest Decline Atmos. Deposition Effects French Mountains,1995
5. Statistical modelling and RCS detrending methods provide similar estimates of long-term trend in radial growth of common beech in north-eastern France;Bontemps;Dendrochronologia,2011
Cited by 41 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Complex imprint of air pollution in the basal area increments of three European tree species;Science of The Total Environment;2024-11
2. European beech (Fagus sylvatica L.): A promising candidate for future forest ecosystems in Central Europe amid climate change;Central European Forestry Journal;2024-06-01
3. Using Adapted and Productive European Beech (Fagus sylvatica L.) Provenances as Future Solutions for Sustainable Forest Management in Romania;Land;2024-02-04
4. A new approach for modeling stand height development of German forests under climate change;Frontiers in Forests and Global Change;2023-08-24
5. Anpassungsbedarf an den Klimawandel für Wälder in Österreich – Trends, Baumarten und Waldmanagement;Waldbewirtschaftung in der Klimakrise;2023
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3