The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Emergent Global Patterns of Ecosystem Structure and Function from a Mechanistic General Ecosystem Model
Open accessAbstract
Anthropogenic activities are causing widespread degradation of ecosystems worldwide, threatening the ecosystem services upon which all human life depends. Improved understanding of this degradation is urgently needed to improve avoidance and mitigation measures. One tool to assist these efforts is predictive models of ecosystem structure and function that are mechanistic: based on fundamental ecological principles. Here we present the first mechanistic General Ecosystem Model (GEM) of ecosystem structure and function that is both global and applies in all terrestrial and marine environments. Functional forms and parameter values were derived from the theoretical and empirical literature where possible. Simulations of the fate of all organisms with body masses between 10 µg and 150,000 kg (a range of 14 orders of magnitude) across the globe led to emergent properties at individual (e.g., growth rate), community (e.g., biomass turnover rates), ecosystem (e.g., trophic pyramids), and macroecological scales (e.g., global patterns of trophic structure) that are in general agreement with current data and theory. These properties emerged from our encoding of the biology of, and interactions among, individual organisms without any direct constraints on the properties themselves. Our results indicate that ecologists have gathered sufficient information to begin to build realistic, global, and mechanistic models of ecosystems, capable of predicting a diverse range of ecosystem properties and their response to human pressures.
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Cites
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Cited by
The global spectrum of plant form and function
Díaz, S., Kattge, J., Cornelissen, J. H. C., Wright, I. J., Lavorel, S., Dray, S., Reu, B., Kleyer, M., Wirth, C., Colin Prentice, I., et al. (2016) · Nature · doi:10.1038/nature16489 · Cited by 3,365
The ecological forecast horizon, and examples of its uses and determinants
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Biodiversity scenarios neglect future land‐use changes
Titeux, N., Henle, K., Mihoub, J., Regos, A., Geijzendorffer, I. R., Cramer, W., Verburg, P. H., & Brotons, L. (2016) · Global Change Biology · doi:10.1111/gcb.13272 · Cited by 303
Reconciling Biodiversity Indicators to Guide Understanding and Action
Hill, S. L. L., Harfoot, M., Purvis, A., Purves, D. W., Collen, B., Newbold, T., Burgess, N. D., & Mace, G. M. (2016) · Conservation Letters · doi:10.1111/conl.12291 · Cited by 64
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Metadata
- Authors
- Harfoot, M. B. J., Newbold, T., Tittensor, D. P., Emmott, S., Hutton, J., Lyutsarev, V., Smith, M. J., Scharlemann, J. P. W., & Purves, D. W.
- Venue
- PLoS Biology
- Publisher
- Public Library of Science (PLoS)
- Published
- 2014-04-22
- Volume
- 12
- Issue
- 4
- Pages
- e1001841
- ISSN
- 1544-9173 (ISSN-L)
- 1545-7885
- OpenAlex
- W2003251517
- Cited by
- 218
- References
- 10
- FWCI
- 19.20
- Type
- journal article
- Language
- en
- Open access
- gold
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