Growing-season frost is a better predictor of tree growth than mean annual temperature in boreal mixedwood forest plantations.,Global Change Biology

当前位置： X-MOL 学术 › Glob. Change Biol. › 论文详情

Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)

Growing-season frost is a better predictor of tree growth than mean annual temperature in boreal mixedwood forest plantations.
Global Change Biology ( IF 10.8 ) Pub Date : 2020-08-31 , DOI: 10.1111/gcb.15327
Benjamin Marquis ₁ , Yves Bergeron _{1,

2} , Martin Simard _{3,

4} , Francine Tremblay ₁

Affiliation

Increase in frost damage to trees due to earlier spring dehardening could outweigh the expected increase in forest productivity caused by climate warming. We quantified the impact of growing‐season frosts on the performance of three spruce species (white, black, and Norway spruce) and various seed sources with different frost tolerance in two plantations, established on both sides of the eastern Canadian boreal‐temperate forest ecotone. The objectives of this study were to determine (a) if spruce species and seed sources planted in sites far from their natural provenance would be less adapted to local site conditions, leading to increased frost damage and reduced height growth; (b) at which height above the ground growing‐season frosts ceased to damage apical meristems; and (c) if height growth was best predicted by extreme climatic events (growing‐season frosts) or by mean annual or summer temperature. At each site and for all spruce species and seed sources, we cross‐sectioned spruce trees at different heights above the ground. Tree rings were cross‐dated and screened for frost rings, which were then given a severity score based on cellular damage. Frost severity reduced height growth of all spruce species and provenances at both sites. Height growth of the non‐native Norway spruce was the most reduced by frost severity and was the smallest species at both sites. Frost caused the highest growth reduction in white spruce at the boreal mixedwood site and had the least effect on black spruce at both sites. For all spruce species, height growth was affected up to 2 m above the ground. Model selection based on corrected Akaike's information criteria (AICc) identified that minimum temperature in May was by far the best climate variable predicting tree growth (AICc weight = 1), highlighting the importance of considering extreme climatic events, which are likely to increase in the future.

中文翻译：

与北方混交林人工林的年平均温度相比，生长季节的霜冻更能预测树木的生长。

由于春季春季早硬化导致的霜冻对树木的伤害增加，可能超过气候变暖导致的森林生产力的预期增加。我们量化了季节性霜冻对加拿大东部北方温带森林交错带两侧建立的两种人工林中三种云杉物种（白云杉，黑云杉和挪威云杉）的性能以及抗冻性不同的各种种子源的影响。。这项研究的目的是确定（a）在远离自然来源的地点种植的云杉物种和种子来源是否不太适应当地的地点条件，从而导致霜冻损害增加和高度生长减少；（b）在高于地面的高度处，生长季节的霜冻不再破坏根尖分生组织；（c）是否最好通过极端气候事件（生长季节的霜冻）或年平均或夏季温度来预测高度增长。在每个站点上，对于所有云杉物种和种子源，我们在高于地面的不同高度横切云杉树木。对树环进行过时并筛选霜环，然后根据细胞损伤对其进行严重性评分。霜冻的严重性降低了两个地方所有云杉种类和种源的高度生长。非本地挪威云杉的高度增长受霜冻严重程度的影响最大，并且在两个站点的物种最小。霜冻在北方混合木地点引起的白云杉生长减少最大，而在两个地点对黑云杉的影响最小。对于所有云杉物种，高度生长都在离地面2 m以下的地方受到影响。

更新日期：2020-10-19

点击分享查看原文

点击收藏

阅读更多本刊最新论文本刊介绍/投稿指南11