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dc.contributor.authorBennett, Alison E.
dc.contributor.authorPreedy, Katharine
dc.contributor.authorGolubski, Antonio
dc.contributor.authorUmbanhowar, James
dc.contributor.authorBorrett, Stuart R.
dc.contributor.authorByrne, Loren
dc.contributor.authorApostol, Kent
dc.contributor.authorBever, James D.
dc.contributor.authorBiederman, Lori
dc.contributor.authorClassen, Aimée T.
dc.contributor.authorCuddington, Kim
dc.contributor.authorde Graaff, Marie‐Anne
dc.contributor.authorGarrett, Karen A.
dc.contributor.authorGross, Lou
dc.contributor.authorHastings, Alan
dc.contributor.authorHoeksema, Jason D.
dc.contributor.authorHrynkiv, Volodymyr
dc.contributor.authorKarst, Justine
dc.contributor.authorKummel, Miro
dc.contributor.authorLee, Charlotte T.
dc.contributor.authorLiang, Chao
dc.contributor.authorLiao, Wei
dc.contributor.authorMack, Keenan
dc.contributor.authorMiller, Laura
dc.contributor.authorOwnley, Bonnie
dc.contributor.authorRojas, Claudia
dc.contributor.authorSimms, Ellen L.
dc.contributor.authorWalsh, Vonda K.
dc.contributor.authorWarren, Matthew
dc.contributor.authorZhu, Jun
dc.date.accessioned2021-01-07T21:07:05Z
dc.date.available2021-01-07T21:07:05Z
dc.date.issued2019-07-12
dc.identifier.citationBennett, A. E., Preedy, K., Golubski, A., Umbanhowar, J., Borrett, S. R., Byrne, L., Apostol, K., Bever, J. D., Biederman, L., Classen, A. T., Cuddington, K., de Graaff, M.‐A., Garrett, K. A., Gross, L., Hastings, A., Hoeksema, J. D., Hrynkiv, V., Karst, J., Kummel, M., Lee, C. T., Liang, C., Liao, W., Mack, K., Miller, L., Ownley, B., Rojas, C., Simms, E. L., Walsh, V. K., Warren, M., and Zhu, J.. 2019. Beyond the black box: promoting mathematical collaborations for elucidating interactions in soil ecology. Ecosphere 10( 7):e02799. 10.1002/ecs2.2799en_US
dc.identifier.urihttp://hdl.handle.net/1808/31060
dc.descriptionThis work is licensed under a Creative Commons Attribution 4.0 International License.en_US
dc.description.abstractUnderstanding soil systems is critical because they form the structural and nutritional foundation for plants and thus every terrestrial habitat and agricultural system. In this paper, we encourage increased use of mathematical models to drive forward understanding of interactions in soil ecological systems. We discuss several distinctive features of soil ecosystems and empirical studies of them. We explore some perceptions that have previously deterred more extensive use of models in soil ecology and some advances that have already been made using models to elucidate soil ecological interactions. We provide examples where mathematical models have been used to test the plausibility of hypothesized mechanisms, to explore systems where experimental manipulations are currently impossible, or to determine the most important variables to measure in experimental and natural systems. To aid in the development of theory in this field, we present a table describing major soil ecology topics, the theory previously used, and providing key terms for theoretical approaches that could potentially address them. We then provide examples from the table that may either contribute to important incremental developments in soil science or potentially revolutionize our understanding of plant–soil systems. We challenge scientists and mathematicians to push theoretical explorations in soil systems further and highlight three major areas for the development of mathematical models in soil ecology: theory spanning scales and ecological hierarchies, processes, and evolution.en_US
dc.publisherEcological Society of Americaen_US
dc.rights© 2019 The Authors.en_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.subjectEcological hierarchyen_US
dc.subjectEvolutionen_US
dc.subjectMathematical modelen_US
dc.subjectPlant–soil interactionsen_US
dc.subjectSoil ecologyen_US
dc.subjectSoil processesen_US
dc.subjectTheoryen_US
dc.titleBeyond the black box: promoting mathematical collaborations for elucidating interactions in soil ecologyen_US
dc.typeArticleen_US
kusw.kuauthorBever, James D.
kusw.kudepartmentEcology & Evolutionary Biologyen_US
kusw.kudepartmentKansas Biological Surveyen_US
dc.identifier.doi10.1002/ecs2.2799en_US
dc.identifier.orcidhttps://orcid.org/0000-0002-1037-0713en_US
dc.identifier.orcidhttps://orcid.org/0000-0002-6741-3470en_US
dc.identifier.orcidhttps://orcid.org/0000-0001-7536-8537en_US
kusw.oaversionScholarly/refereed, publisher versionen_US
kusw.oapolicyThis item meets KU Open Access policy criteria.en_US
dc.rights.accessrightsopenAccessen_US


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© 2019 The Authors.
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