The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index.
Process‐based models are required to manage ecological systems in a changing world
Open accessAbstract
Several modeling approaches can be used to guide management decisions. However, some approaches are better fitted than others to address the problem of prediction under global change. Process‐based models, which are based on a theoretical understanding of relevant ecological processes, provide a useful framework to incorporate specific responses to altered environmental conditions. As a result, these models can offer significant advantages in predicting the effects of global change as compared to purely statistical or rule‐based models based on previously collected data. Process‐based models also offer more explicitly stated assumptions and easier interpretation than detailed simulation models. We provide guidelines for identifying the appropriate type of model and level of complexity for management decisions. Finally we outline some of those factors that make modeling for local and regional management under global change a particular challenge: changes to relevant scales and processes, additional sources of uncertainty, legacy effects, threshold dynamics, and socio‐economic impacts.
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The Impact of Climate Change on Agricultural Insect Pests
Skendžić, S., Zovko, M., Živković, I. P., Lešić, V., & Lemić, D. (2021) · Insects · doi:10.3390/insects12050440 · Cited by 1,427
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West Nile virus eco-epidemiology and climate change
Heidecke, J., Lavarello Schettini, A., & Rocklöv, J. (2023) · PLOS Climate · doi:10.1371/journal.pclm.0000129 · Cited by 47
Hauenstein, S., Jassoy, N., Mupepele, A., Carroll, T., Kshatriya, M., Beale, C. M., & Dormann, C. F. (2022) · Mammal Review · doi:10.1111/mam.12291 · Cited by 8
Metadata
- Authors
- Cuddington, K., Fortin, M.-J., Gerber, L. R., Hastings, A., Liebhold, A., O'Connor, M., & Ray, C.
- Venue
- Ecosphere
- Publisher
- Wiley
- Published
- 2013-02
- Volume
- 4
- Issue
- 2
- Pages
- 1-12
- ISSN
- 2150-8925 (ISSN-L)
- OpenAlex
- W2005910603
- Cited by
- 292
- References
- 59
- FWCI
- 9.92
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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