宗教冷杉林的单双部菌根网络:网络理论在针叶林种应用生态学和森林管理中的应用

IF 3.1 3区 环境科学与生态学 Q2 ECOLOGY
Andrés Argüelles-Moyao , Mariana Benítez , Ana E. Escalante , Roberto Garibay-Orijel
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引用次数: 0

摘要

由于气候变化,冷杉的森林受到严重威胁;为了拯救这一物种及其生物相互作用,种群辅助迁移在森林管理中得到了讨论,但在微生物生态学领域却没有。我们的目标是分析它的菌根网络;有了这些数据,就可以识别潜在的促进植物,这是最重要的菌根真菌联系。这些信息可以在辅助迁移计划中一起使用,将冷杉树苗与它们的菌根网络连接起来,并改善它们的田间建设。采集了19种植物的47份根际样品,利用Illumina对真菌ITS2区进行了测序。在整个真菌群落中,菌根真菌有464种(32%)。在这个亚群中,85种真菌是丛枝真菌,365种是外生菌根真菌,14种是兰花菌根真菌。Abies religiosa二部网络具有低嵌套、高模块化、无标度的结构。除冷杉(Abies religiosa)外,黄柳(Salix paradoxa)、黄柳(Muhlenbergia spp)和沙棘(Baccharis confta)的程度最大,平均路径最短。最重要的真菌结种是Cortinarius、Genea、Rhodoscypha、Russula和Tomentella。建议采用以下方案评估冷杉的未来建立:第一年重新引入Muhlenbergia和Baccharis confta,第二年引入Salix paradoxa,第三年-一旦菌根网络重新建立-在这些植物附近种植冷杉树苗。该方案是利用本研究的数据和网络分析提出的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Unipartite and bipartite mycorrhizal networks of Abies religiosa forests: Incorporating network theory into applied ecology of conifer species and forest management

Abies religiosa's forests are severely endangered as a result of climate change; to save this species and its biological interactions, population assisted migration is discussed in forest management, but not in the microbial ecology field. Our objectives were to analyze its mycorrhizal networks; and, with this data, to identify potential facilitator plants and it's most important mycorrhizal fungal links. This information could be used together in assisted migration programs to connect Abies religiosa saplings to their mycorrhizal network and improve their field establishment. We collected 47 rhizosphere samples from 19 plant species and sequenced their fungal ITS2 region by Illumina. In the whole fungal community, 464 species were mycorrhizal fungi with assigned guild (32%). In this subset, 85 fungi are arbuscular, 365 ectomycorrhizal and 14 from orchid-mycorriza. The Abies religiosa bipartite network is low nested and highly modular, and has a scale-free architecture. Besides Abies religiosa, the plants with the largest degree and the lowest average shortest path were Salix paradoxa, Muhlenbergia spp., and Baccharis conferta. The most important fungal nodes are species of Cortinarius, Genea, Rhodoscypha, Russula, and Tomentella. We suggest to evaluate the Abies' future establishment in the following scheme: in the first year reintroduce Muhlenbergia spp., and Baccharis conferta, in the second year Salix paradoxa, and in the third year–once the mycorrhizal network is reestablished– Abies religiosa' saplings in close proximity of these plants. This scheme is proposed using the data and network analyses of the present study.

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来源期刊
Ecological Complexity
Ecological Complexity 环境科学-生态学
CiteScore
7.10
自引率
0.00%
发文量
24
审稿时长
3 months
期刊介绍: Ecological Complexity is an international journal devoted to the publication of high quality, peer-reviewed articles on all aspects of biocomplexity in the environment, theoretical ecology, and special issues on topics of current interest. The scope of the journal is wide and interdisciplinary with an integrated and quantitative approach. The journal particularly encourages submission of papers that integrate natural and social processes at appropriately broad spatio-temporal scales. Ecological Complexity will publish research into the following areas: • All aspects of biocomplexity in the environment and theoretical ecology • Ecosystems and biospheres as complex adaptive systems • Self-organization of spatially extended ecosystems • Emergent properties and structures of complex ecosystems • Ecological pattern formation in space and time • The role of biophysical constraints and evolutionary attractors on species assemblages • Ecological scaling (scale invariance, scale covariance and across scale dynamics), allometry, and hierarchy theory • Ecological topology and networks • Studies towards an ecology of complex systems • Complex systems approaches for the study of dynamic human-environment interactions • Using knowledge of nonlinear phenomena to better guide policy development for adaptation strategies and mitigation to environmental change • New tools and methods for studying ecological complexity
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