Network Analyses Can Advance Above-Belowground Ecology

Kelly S. Ramirez; Stefan Geisen; Elly Morriën; Basten L. Snoek; Wim H. van der Putten

doi:10.1016/j.tplants.2018.06.009

Network Analyses Can Advance Above-Belowground Ecology

Kelly S. Ramirez^*, Stefan Geisen, Elly Morriën, Basten L. Snoek, Wim H. van der Putten

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

66 Citations (Scopus)

Abstract

An understanding of above-belowground (AG-BG) ecology is important for evaluating how plant interactions with enemies, symbionts, and decomposers affect species diversity and will respond to global changes. However, research questions and experiments often focus on only a limited number of interactions, creating an incomplete picture of how entire communities may be involved in AG-BG community ecology. Therefore, a pressing challenge is to formulate hypotheses of AG-BG interactions when considering communities in their full complexity. Here we discuss how network analyses can be a powerful tool to progress AG-BG research, link across scales from individual to community and ecosystem, visualize community interactions between the two (AG and BG) subsystems, and develop testable hypotheses.

Original language	English
Pages (from-to)	759-768
Journal	Trends in Plant Science
Volume	23
Issue number	9
DOIs	https://doi.org/10.1016/j.tplants.2018.06.009
Publication status	Published - Sept 2018

Keywords

community ecology
global change
species interactions
terrestrial ecology

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10.1016/j.tplants.2018.06.009

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title = "Network Analyses Can Advance Above-Belowground Ecology",

abstract = "An understanding of above-belowground (AG-BG) ecology is important for evaluating how plant interactions with enemies, symbionts, and decomposers affect species diversity and will respond to global changes. However, research questions and experiments often focus on only a limited number of interactions, creating an incomplete picture of how entire communities may be involved in AG-BG community ecology. Therefore, a pressing challenge is to formulate hypotheses of AG-BG interactions when considering communities in their full complexity. Here we discuss how network analyses can be a powerful tool to progress AG-BG research, link across scales from individual to community and ecosystem, visualize community interactions between the two (AG and BG) subsystems, and develop testable hypotheses.",

keywords = "community ecology, global change, species interactions, terrestrial ecology",

author = "Ramirez, {Kelly S.} and Stefan Geisen and Elly Morri{\"e}n and Snoek, {Basten L.} and {van der Putten}, {Wim H.}",

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AU - Geisen, Stefan

AU - Morriën, Elly

AU - Snoek, Basten L.

AU - van der Putten, Wim H.

PY - 2018/9

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N2 - An understanding of above-belowground (AG-BG) ecology is important for evaluating how plant interactions with enemies, symbionts, and decomposers affect species diversity and will respond to global changes. However, research questions and experiments often focus on only a limited number of interactions, creating an incomplete picture of how entire communities may be involved in AG-BG community ecology. Therefore, a pressing challenge is to formulate hypotheses of AG-BG interactions when considering communities in their full complexity. Here we discuss how network analyses can be a powerful tool to progress AG-BG research, link across scales from individual to community and ecosystem, visualize community interactions between the two (AG and BG) subsystems, and develop testable hypotheses.

AB - An understanding of above-belowground (AG-BG) ecology is important for evaluating how plant interactions with enemies, symbionts, and decomposers affect species diversity and will respond to global changes. However, research questions and experiments often focus on only a limited number of interactions, creating an incomplete picture of how entire communities may be involved in AG-BG community ecology. Therefore, a pressing challenge is to formulate hypotheses of AG-BG interactions when considering communities in their full complexity. Here we discuss how network analyses can be a powerful tool to progress AG-BG research, link across scales from individual to community and ecosystem, visualize community interactions between the two (AG and BG) subsystems, and develop testable hypotheses.

KW - community ecology

KW - global change

KW - species interactions

KW - terrestrial ecology

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DO - 10.1016/j.tplants.2018.06.009

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SP - 759

EP - 768

JO - Trends in Plant Science

JF - Trends in Plant Science

IS - 9

ER -

Network Analyses Can Advance Above-Belowground Ecology

Abstract

Keywords

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