2019
DOI: 10.1002/ecs2.2799
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Beyond the black box: promoting mathematical collaborations for elucidating interactions in soil ecology

Abstract: Understanding 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 adv… Show more

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Cited by 13 publications
(16 citation statements)
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References 127 publications
(209 reference statements)
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“…While environmental change predictions and climate models have focused on plant effects and C sequestration, the evaluation of environmental changes on microbial physiology has lagged behind or simply been treated as a “black box” ( Shade et al, 2009 ; McGuire and Treseder, 2010 ; Treseder et al, 2012 ; Bennett et al, 2019 ). Nitrifying microorganisms are an important group that controls the size and composition of inorganic N pools available to plants ( Ward, 2011 ).…”
Section: Introductionmentioning
confidence: 99%
“…While environmental change predictions and climate models have focused on plant effects and C sequestration, the evaluation of environmental changes on microbial physiology has lagged behind or simply been treated as a “black box” ( Shade et al, 2009 ; McGuire and Treseder, 2010 ; Treseder et al, 2012 ; Bennett et al, 2019 ). Nitrifying microorganisms are an important group that controls the size and composition of inorganic N pools available to plants ( Ward, 2011 ).…”
Section: Introductionmentioning
confidence: 99%
“…Mathematical modeling is the process of describing complex systems in a logically consistent and explicit manner using a quantitative framework (Nijhout et al, 2015 ). Such models can generate testable hypotheses by relating possible mechanisms and relationships to observable, measurable phenomena (Bennett et al, 2019 ). In addition, models are used to identify non-intuitive relationships, emergent properties, and the conditions under which phenomena arise.…”
Section: Introductionmentioning
confidence: 99%
“…This is especially relevant whenever using generic PVA software and when detailed information on the spatial distribution of species or habitat requirements is not available (Chaudhary & Oli, 2020). In this instance, some authors recommend developing tailor‐made applications for the particular purpose and data available (Bennett et al ., 2019; Lucas, 2020). Dynamic modelling frameworks underpinned by bio‐ecological information are especially promising (Anderson et al ., 2018; Miller et al ., 2019).…”
Section: Introductionmentioning
confidence: 99%