Marqués Laura, Peltier Drew M P, Camarero J Julio, Zavala Miguel A, Madrigal-González Jaime, Sangüesa-Barreda Gabriel, Ogle Kiona
Department of Environmental Systems Science, Swiss Federal Institute of Technology (ETH Zürich), Universitätstrasse 2, 8092 Zürich, Switzerland.
Forest Ecology and Restoration Group, Department of Life Sciences, Universidad de Alcalá (UAH), Edificio Ciencias, Campus Universitario, 28871 Alcalá de Henares, Madrid, Spain.
Ecosystems. 2022;25(1):215-235. doi: 10.1007/s10021-021-00650-8. Epub 2021 Jun 22.
Legacies of past climate conditions and historical management govern forest productivity and tree growth. Understanding how these processes interact and the timescales over which they influence tree growth is critical to assess forest vulnerability to climate change. Yet, few studies address this issue, likely because integrated long-term records of both growth and forest management are uncommon. We applied the stochastic antecedent modelling (SAM) framework to annual tree-ring widths from mixed forests to recover the ecological memory of tree growth. We quantified the effects of antecedent temperature and precipitation up to 4 years preceding the year of ring formation and integrated management effects with records of harvesting intensity from historical forest management archives. The SAM approach uncovered important time periods most influential to growth, typically the warmer and drier months or seasons, but variation among species and sites emerged. Silver fir responded primarily to past climate conditions (25-50 months prior to the year of ring formation), while European beech and Scots pine responded mostly to climate conditions during the year of ring formation and the previous year, although these responses varied among sites. Past management and climate interacted in such a way that harvesting promoted growth in young silver fir under wet and warm conditions and in old European beech under drier and cooler conditions. Our study shows that the ecological memory associated with climate legacies and historical forest management is species-specific and context-dependent, suggesting that both aspects are needed to properly evaluate forest functioning under climate change.
The online version contains supplementary material available at 10.1007/s10021-021-00650-8.
过去气候条件和历史管理的遗留因素决定着森林生产力和树木生长。了解这些过程如何相互作用以及它们影响树木生长的时间尺度，对于评估森林对气候变化的脆弱性至关重要。然而，很少有研究涉及这个问题，可能是因为生长和森林管理的综合长期记录并不常见。我们应用随机前因建模（SAM）框架，对混交林的年度年轮宽度进行分析，以恢复树木生长的生态记忆。我们量化了年轮形成年份前长达4年的前期温度和降水的影响，并将管理效应与历史森林管理档案中的采伐强度记录相结合。SAM方法揭示了对生长最具影响力的重要时间段，通常是温暖和干燥的月份或季节，但物种和地点之间存在差异。银冷杉主要对过去的气候条件做出反应（年轮形成年份前25 - 50个月），而欧洲山毛榉和苏格兰松大多对年轮形成年份及前一年的气候条件做出反应，不过这些反应因地点而异。过去的管理和气候以这样一种方式相互作用，即在潮湿温暖条件下，采伐促进了幼龄银冷杉的生长；在干燥凉爽条件下，采伐促进了老龄欧洲山毛榉的生长。我们的研究表明，与气候遗留因素和历史森林管理相关的生态记忆具有物种特异性且依赖于环境，这表明需要这两个方面来正确评估气候变化下的森林功能。
在线版本包含可在10.1007/s10021-021-00650-8获取的补充材料。
