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Cited by 305

The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.

The mound-building termite Macrotermes michaelseni as an ecosystem engineer

Dangerfield, J.M., Mccarthy, T.S., Ellery, W.N.·1998·Journal of Tropical Ecology

Abstract

Many organisms create or alter resource flows that affect the composition and spatial arrangement of current and future organismal diversity. The phenomenon called ecosystem engineering is considered with a case study of the mound building termite Macrotermes michaelseni. It is argued that this species acts as an ecosystem engineer across a range of spatial scales, from alteration of local infiltration rates to the creation of landscape mosaics, and that its impacts accrue because of the initiation of biophysical processes that often include feedback mechanisms. These changes to resource flows are likely to persist for long periods and constrain the biological structure of the habitat. The value of ecosystem engineering is discussed as a holistic way of understanding the complexity of tropical ecology.

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Crossref · 10.1017/s0266467498000364

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Metadata

Authors
Dangerfield, J. M., Mccarthy, T. S., & Ellery, W. N.
Venue
Journal of Tropical Ecology
Published
1998-07
Volume
14
Issue
4
Pages
507-520
ISSN
  • 0266-4674 (ISSN-L)
  • 1469-7831
OpenAlex
W2076954855
Cited by
305
References
37
FWCI
1.33
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The mound-building termite Macrotermes michaelseni as an ecosystem engineer. https://app.cochat.ai/papers/10.1017/s0266467498000364
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Dangerfield, J. M., Mccarthy, T. S., & Ellery, W. N. (1998). The mound-building termite Macrotermes michaelseni as an ecosystem engineer. Journal of Tropical Ecology. https://doi.org/10.1017/s0266467498000364

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.