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| Content Provider | World Health Organization (WHO)-Global Index Medicus |
|---|---|
| Author | Lin, J. Norberg, J. Levin, S. A. Dushoff, J. Casagrandi, R. Swaney, D. P. |
| Description | Author Affiliation: Norberg J ( Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA. jon.norberg@ecology.su.se); |
| Abstract | Biodiversity plays a vital role for ecosystem functioning in a changing environment. Yet theoretical approaches that incorporate diversity into classical ecosystem theory do not provide a general dynamic theory based on mechanistic principles. In this paper, we suggest that approaches developed for quantitative genetics can be extended to ecosystem functioning by modeling the means and variances of phenotypes within a group of species. We present a framework that suggests that phenotypic variance within functional groups is linearly related to their ability to respond to environmental changes. As a result, the long-term productivity for a group of species with high phenotypic variance may be higher than for the best single species, even though high phenotypic variance decreases productivity in the short term, because suboptimal species are present. In addition, we find that in the case of accelerating environmental change, species succession in a changing environment may become discontinuous. Our work suggests that this phenomenon is related to diversity as well as to the environmental disturbance regime, both of which are affected by anthropogenic activities. By introducing new techniques for modeling the aggregate behavior of groups of species, the present approach may provide a new avenue for ecosystem analysis. |
| ISSN | 00278424 |
| e-ISSN | 10916490 |
| Journal | Proceedings of the National Academy of Sciences of the United States of America |
| Issue Number | 20 |
| Volume Number | 98 |
| Language | English |
| Publisher | National Academy of Sciences |
| Publisher Date | 2001-09-01 |
| Publisher Place | United States |
| Access Restriction | Open |
| Subject Keyword | Ecosystem Models, Biological Phenotype Biomass Mathematics Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. Multidisciplinary |
| Content Type | Text |
| Resource Type | Article |
| Subject | Multidisciplinary |
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