Back to Search
Start Over
The irreducible uncertainty of the demography–environment interaction in ecology
- Source :
- Royal Society of London. Proceedings B. Biological Sciences; 269(1488), pp 221-225 (2002)
- Publication Year :
- 2002
- Publisher :
- The Royal Society, 2002.
-
Abstract
- The interpretation of ecological data has been greatly improved by bridging the gap between ecological and statistical models. The major challenge is to separate competing hypotheses concerning demography, or other ecological relationships, and environmental variability (noise). In this paper we demonstrate that this may be an arduous, if not impossible, task. It is the lack of adequate ecological theory, rather than statistical sophistication, which leads to this problem. A reconstruction of underlying ecological processes can only be done if we are certain of either the demographic or the noise model, which is something that can only be achieved by an improved theory of stochastic ecological processes. Ignoring the fact that this is a real problem may mislead ecologists and result in erroneous conclusions about the relative importance of endogenous and exogenous factors in natural ecosystems. The lack of correct model identification may also have far-reaching consequences for population management and conservation.
- Subjects :
- 0106 biological sciences
Time Factors
media_common.quotation_subject
Population Dynamics
Biology
Ecological systems theory
Models, Biological
010603 evolutionary biology
01 natural sciences
General Biochemistry, Genetics and Molecular Biology
Ecological relationship
Econometrics
Animals
Natural ecosystem
Environmental noise
Sophistication
Ecosystem
General Environmental Science
media_common
Stochastic Processes
Models, Statistical
General Immunology and Microbiology
Ecology
Stochastic process
010604 marine biology & hydrobiology
System identification
Statistical model
General Medicine
Biological Sciences
13. Climate action
General Agricultural and Biological Sciences
Research Article
Demography
Subjects
Details
- ISSN :
- 14712954 and 09628452
- Volume :
- 269
- Database :
- OpenAIRE
- Journal :
- Proceedings of the Royal Society of London. Series B: Biological Sciences
- Accession number :
- edsair.doi.dedup.....d16ab9baaf914fbf7874ade85abbe4b9
- Full Text :
- https://doi.org/10.1098/rspb.2001.1888