Calculating Nitrogen Uptake Rates in Forests: Which Components Can Be Omitted, Simplified, or Taken from Trait Databases and Which Must Be Measured In Situ?

IF 3.4 2区 环境科学与生态学 Q2 ECOLOGY
Ray Dybzinski, Ella Segal, M. Luke McCormack, Christine R. Rollinson, Rosemary Mascarenhas, Perry Giambuzzi, Jamilys Rivera, Lucien Fitzpatrick, Caylin Wiggins, Meghan G. Midgley
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Abstract

Quantifying nitrogen uptake rates across different forest types is critical for a range of ecological questions, including the parameterization of global climate change models. However, few measurements of forest nitrogen uptake rates are available due to the intensive labor required to collect in situ data. Here, we seek to optimize data collection efforts by identifying measurements that must be made in situ and those that can be omitted or approximated from databases. We estimated nitrogen uptake rates in 18 mature monodominant forest stands comprising 13 species of diverse taxonomy at the Morton Arboretum in Lisle, IL, USA. We measured all nitrogen concentrations, foliage allocation, and fine root biomass in situ. We estimated wood biomass increments by in situ stem diameter and stem core measurements combined with allometric equations. We estimated fine root turnover rates from database values. We analyzed similar published data from monodominant forest FACE sites. At least in monodominant forests, accurate estimates of forest nitrogen uptake rates appear to require in situ measurements of fine root productivity and are appreciably better paired with in situ measurements of foliage productivity. Generally, wood productivity and tissue nitrogen concentrations may be taken from trait databases at higher taxonomic levels. Careful sorting of foliage or fine roots to species is time consuming but has little effect on estimates of nitrogen uptake rate. By directing research efforts to critical in situ measurements only, future studies can maximize research effort to identify the drivers of varied nitrogen uptake patterns across gradients.

Abstract Image

计算森林的氮吸收率:哪些成分可以省略、简化或从性状数据库中提取,哪些必须现场测量?
量化不同类型森林的氮吸收率对一系列生态问题至关重要,包括全球气候变化模型的参数化。然而,由于收集原位数据需要大量人力,因此很少有森林氮吸收率的测量数据。在此,我们试图通过确定必须在原地进行的测量和可以从数据库中省略或近似的测量来优化数据收集工作。我们估算了美国伊利诺斯州利斯尔莫顿植物园的 18 个成熟单优势林分的氮吸收率,这些林分由 13 种不同的物种组成。我们在现场测量了所有氮浓度、叶片分配和细根生物量。我们通过原位茎直径和茎芯测量值结合异速方程估算木材生物量增量。我们根据数据库中的数值估算了细根周转率。我们分析了单优势森林森林资源评估地点的类似公开数据。至少在单优势森林中,准确估算森林氮吸收率似乎需要对细根生产力进行现场测量,而且与叶片生产力的现场测量结果搭配使用效果会更好。一般来说,木材生产力和组织氮浓度可从更高分类级别的性状数据库中获取。按物种对叶片或细根进行仔细分类很费时间,但对氮吸收率的估算影响不大。通过将研究工作仅局限于关键的原位测量,未来的研究可以最大限度地提高研究效率,找出不同梯度氮吸收模式的驱动因素。
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来源期刊
Ecosystems
Ecosystems 环境科学-生态学
CiteScore
8.20
自引率
2.70%
发文量
71
审稿时长
1.7 months
期刊介绍: The study and management of ecosystems represent the most dynamic field of contemporary ecology. Ecosystem research bridges fundamental ecology and environmental ecology and environmental problem-solving, and spans boundaries of scale, discipline and perspective. Ecosystems features a distinguished team of editors-in-chief and an outstanding international editorial board, and is seen worldwide as a vital home for publishing significant research as well as editorials, mini-reviews and special features.
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