Technical note

Rapid image-based field methods improve the quantification of termite mound structures and greenhouse-gas fluxes

Philipp A. Nauer, Eleonora Chiri, David De Souza, Lindsay B. Hutley, Stefan K. Arndt

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    Abstract

    Termite mounds (TMs) mediate biogeochemical processes with global relevance, such as turnover of the important greenhouse gas methane (CH4). However, the complex internal and external morphology of TMs impede an accurate quantitative description. Here we present two novel field methods, photogrammetry (PG) and cross-sectional image analysis, to quantify TM external and internal mound structure of 29TMs of three termite species. Photogrammetry was used to measure epigeal volume (VE), surface area (AE) and mound basal area (AB) by reconstructing 3-D models from digital photographs, and compared against a waterdisplacement method and the conventional approach of approximating TMs by simple geometric shapes. To describe TM internal structure, we introduce TM macro- and microporosity (θM and θμ), the volume fractions of macroscopic chambers, and microscopic pores in the wall material, respectively. Macro-porosity was estimated using image analysis of single TM cross sections, and compared against full Xray computer tomography (CT) scans of 17 TMs. For these TMs we present complete pore fractions to assess speciesspecific differences in internal structure. The PG method yielded VE nearly identical to a water-displacement method, while approximation of TMs by simple geometric shapes led to errors of 4-200 %. Likewise, using PG substantially improved the accuracy of CH4 emission estimates by 10-50 %. Comprehensive CT scanning revealed that investigated TMs have species-specific ranges of θM and θμ, but similar total porosity. Image analysis of single TM cross sections produced good estimates of θM for species with thick walls and evenly distributed chambers. The new image-based methods allow rapid and accurate quantitative characterisation of TMs to answer ecological, physiological and biogeochemical questions. The PG method should be applied when measuring greenhouse-gas emissions from TMs to avoid large errors from inadequate shape approximations.

    Original languageEnglish
    Pages (from-to)3731-3742
    Number of pages12
    JournalBiogeosciences
    Volume15
    Issue number12
    DOIs
    Publication statusPublished - 20 Jun 2018

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    termite mounds
    field method
    termite
    greenhouse gases
    greenhouse gas
    photogrammetry
    methodology
    methane
    image analysis
    tomography
    porosity
    cross section
    greenhouse gas emissions
    Isoptera
    rapid methods
    basal area

    Cite this

    Nauer, Philipp A. ; Chiri, Eleonora ; De Souza, David ; Hutley, Lindsay B. ; Arndt, Stefan K. / Technical note : Rapid image-based field methods improve the quantification of termite mound structures and greenhouse-gas fluxes. In: Biogeosciences. 2018 ; Vol. 15, No. 12. pp. 3731-3742.
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    abstract = "Termite mounds (TMs) mediate biogeochemical processes with global relevance, such as turnover of the important greenhouse gas methane (CH4). However, the complex internal and external morphology of TMs impede an accurate quantitative description. Here we present two novel field methods, photogrammetry (PG) and cross-sectional image analysis, to quantify TM external and internal mound structure of 29TMs of three termite species. Photogrammetry was used to measure epigeal volume (VE), surface area (AE) and mound basal area (AB) by reconstructing 3-D models from digital photographs, and compared against a waterdisplacement method and the conventional approach of approximating TMs by simple geometric shapes. To describe TM internal structure, we introduce TM macro- and microporosity (θM and θμ), the volume fractions of macroscopic chambers, and microscopic pores in the wall material, respectively. Macro-porosity was estimated using image analysis of single TM cross sections, and compared against full Xray computer tomography (CT) scans of 17 TMs. For these TMs we present complete pore fractions to assess speciesspecific differences in internal structure. The PG method yielded VE nearly identical to a water-displacement method, while approximation of TMs by simple geometric shapes led to errors of 4-200 {\%}. Likewise, using PG substantially improved the accuracy of CH4 emission estimates by 10-50 {\%}. Comprehensive CT scanning revealed that investigated TMs have species-specific ranges of θM and θμ, but similar total porosity. Image analysis of single TM cross sections produced good estimates of θM for species with thick walls and evenly distributed chambers. The new image-based methods allow rapid and accurate quantitative characterisation of TMs to answer ecological, physiological and biogeochemical questions. The PG method should be applied when measuring greenhouse-gas emissions from TMs to avoid large errors from inadequate shape approximations.",
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    Technical note : Rapid image-based field methods improve the quantification of termite mound structures and greenhouse-gas fluxes. / Nauer, Philipp A.; Chiri, Eleonora; De Souza, David; Hutley, Lindsay B.; Arndt, Stefan K.

    In: Biogeosciences, Vol. 15, No. 12, 20.06.2018, p. 3731-3742.

    Research output: Contribution to journalArticleResearchpeer-review

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