Soil biota and global change at the ecosystem level

describing soil biota in mathematical models

Pete Smith, O Andren, L Brussaard, M Dangerfield, K Ekschmitt, P Lavelle, K Tate

Research output: Contribution to journalArticle

56 Citations (Scopus)

Abstract

All current mathematical models of the soil system are underpinned by a wealth of research into soil biology and new research continues to improve the description of the real world by mathematical models. In this review we examine the various approaches for describing soil biology in mathematical models and discuss the use of each type of model in global change research. The approaches represented among models participating in the Global Change and Terrestrial Ecosystems (GCTE) Soil Organic Matter Network (SOMNET) are described. We examine the relative advantages and constraints of each modelling approach and, using these, suggest appropriate uses of each. We show that for predictive purposes at ecosystem scale and higher, process-orientated models (which have only an implicit description of soil organisms) are most commonly used. As a research tool at the ecosystem level, both process-orientated and organism-orientated models (in which functional or taxonomic groups of soil organisms are explicitly described) are commonly used. Because of uncertainties introduced in internal model parameter estimation and system feedbacks, the predictive use of organism-orientated models at the ecosystem scale and larger is currently less feasible than is the use of process-orientated models. In some specific circumstances, however, an explicit description of some functional groups of soil organisms within models may be required to adequately describe the effects of global change. No existing models can adequately predict the feedback between global change, a change in soil community function, and the response of the changed system to future global change. To find out if these feedbacks exist and to what extent they affect future global change, more research is urgently required into the response of soil community function to global change and its potential ecosystem-level effects.

Original languageEnglish
Pages (from-to)773-784
Number of pages12
JournalGlobal Change Biology
Volume4
Issue number7
DOIs
Publication statusPublished - 1998

Fingerprint

soil biota
global change
Ecosystems
Mathematical models
Soils
ecosystem
Feedback
Biota
Biological materials
Parameter estimation
Functional groups
soil
terrestrial ecosystem
functional group
soil organic matter

Keywords

  • ecosystem
  • global environmental change
  • mathematical models
  • soil biota
  • soil organic matter network (SOMNET)
  • soil organic matter

Cite this

Soil biota and global change at the ecosystem level : describing soil biota in mathematical models. / Smith, Pete; Andren, O ; Brussaard, L; Dangerfield, M; Ekschmitt, K; Lavelle, P; Tate, K.

In: Global Change Biology, Vol. 4, No. 7, 1998, p. 773-784.

Research output: Contribution to journalArticle

Smith, P, Andren, O, Brussaard, L, Dangerfield, M, Ekschmitt, K, Lavelle, P & Tate, K 1998, 'Soil biota and global change at the ecosystem level: describing soil biota in mathematical models', Global Change Biology, vol. 4, no. 7, pp. 773-784. https://doi.org/10.1046/j.1365-2486.1998.00193.x
Smith, Pete ; Andren, O ; Brussaard, L ; Dangerfield, M ; Ekschmitt, K ; Lavelle, P ; Tate, K. / Soil biota and global change at the ecosystem level : describing soil biota in mathematical models. In: Global Change Biology. 1998 ; Vol. 4, No. 7. pp. 773-784.
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