生态位模型预测,土壤真菌在北方森林中占据着不稳定的气候

IF 6.3 1区 环境科学与生态学 Q1 ECOLOGY Global Ecology and Biogeography Pub Date : 2023-04-13 DOI:10.1111/geb.13684
Clara Qin, Peter T. Pellitier, Michael E. Van?Nuland, Kabir G. Peay, Kai Zhu
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引用次数: 1

摘要

目的真菌生态位在环境超空间中的分布信息有限,阻碍了预测土壤真菌群落对气候变化的响应。我们通过模拟几千种真菌的生态位来预测北美土壤真菌组合组成的气候敏感性。位于美国和加拿大的113个地点,涵盖除热带雨林以外的所有生物群系。研究真菌的主要分类群。时间范围2011-2018年。方法将来自北美两个大陆尺度采样网络的内部转录间隔序列(ITS)进行组合,并以97%的相似性将其聚类为操作分类单元(otu)。利用气候和土壤数据,我们对至少10个站点(n = 8597)的所有OTUs进行了基于logistic脊回归的生态位模型(ENMs)拟合。为了描述土壤真菌组合在气候梯度上的成分转换,我们引入了一种新的基于生态位的气候敏感性度量,即Sørensen气候敏感性指数。最后,我们绘制了整个北美的气候敏感性图。结果ENMs的平均样本外预测准确率为73.8%,温度变量是真菌分布的强预测因子。土壤真菌气候生态位在整个环境空间中聚集在一起,这表明了共同的生理极限,并预测了气候变化中成分的突变。北美气候中的土壤真菌更容易受到寒冷和干燥条件的限制,而不是温暖和潮湿的条件,外生菌根真菌通常比腐养真菌耐受更冷的温度。Sørensen气候敏感性在整个环境空间中呈现多模态分布,在与北方森林相对应的气候中达到峰值。北美北方针叶林在土壤真菌组合组成的环境空间中处于一个特别不稳定的区域,即使是小程度的变暖也可能引发以暖适应物种大量涌入为特征的大的组成变化。
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Niche modelling predicts that soil fungi occupy a precarious climate in boreal forests

Aim

Efforts to predict the responses of soil fungal communities to climate change are hindered by limited information on how fungal niches are distributed across environmental hyperspace. We predict the climate sensitivity of North American soil fungal assemblage composition by modelling the ecological niches of several thousand fungal species.

Location

One hundred and thirteen sites in the United States and Canada spanning all biomes except tropical rain forest.

Major Taxa Studied

Fungi.

Time Period

2011–2018.

Methods

We combine internal transcribed spacer (ITS) sequences from two continental-scale sampling networks in North America and cluster them into operational taxonomic units (OTUs) at 97% similarity. Using climate and soil data, we fit ecological niche models (ENMs) based on logistic ridge regression for all OTUs present in at least 10 sites (n = 8597). To describe the compositional turnover of soil fungal assemblages over climatic gradients, we introduce a novel niche-based metric of climate sensitivity, the Sørensen climate sensitivity index. Finally, we map climate sensitivity across North America.

Results

ENMs have a mean out-of-sample predictive accuracy of 73.8%, with temperature variables being strong predictors of fungal distributions. Soil fungal climate niches clump together across environmental space, which suggests common physiological limits and predicts abrupt changes in composition with respect to changes in climate. Soil fungi in North American climates are more likely to be limited by cold and dry conditions than by warm and wet conditions, and ectomycorrhizal fungi generally tolerate colder temperatures than saprotrophic fungi. Sørensen climate sensitivity exhibits a multimodal distribution across environmental space, with a peak in climates corresponding to boreal forests.

Main Conclusions

The boreal forest occupies an especially precarious region of environmental space for the composition of soil fungal assemblages in North America, as even small degrees of warming could trigger large compositional changes characterized mainly by an influx of warm-adapted species.

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来源期刊
Global Ecology and Biogeography
Global Ecology and Biogeography 环境科学-生态学
CiteScore
12.10
自引率
3.10%
发文量
170
审稿时长
3 months
期刊介绍: Global Ecology and Biogeography (GEB) welcomes papers that investigate broad-scale (in space, time and/or taxonomy), general patterns in the organization of ecological systems and assemblages, and the processes that underlie them. In particular, GEB welcomes studies that use macroecological methods, comparative analyses, meta-analyses, reviews, spatial analyses and modelling to arrive at general, conceptual conclusions. Studies in GEB need not be global in spatial extent, but the conclusions and implications of the study must be relevant to ecologists and biogeographers globally, rather than being limited to local areas, or specific taxa. Similarly, GEB is not limited to spatial studies; we are equally interested in the general patterns of nature through time, among taxa (e.g., body sizes, dispersal abilities), through the course of evolution, etc. Further, GEB welcomes papers that investigate general impacts of human activities on ecological systems in accordance with the above criteria.
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