The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
From cells to coastlines: how can we use physiology to forecast the impacts of climate change?
Abstract
SUMMARY: The interdisciplinary fields of conservation physiology, macrophysiology,and mechanistic ecological forecasting have recently emerged as means of integrating detailed physiological responses to the broader questions of ecological and evolutionary responses to global climate change. Bridging the gap between large-scale records of weather and climate (as measured by remote sensing platforms, buoys and ground-based weather stations) and the physical world as experienced by organisms (niche-level measurements) requires a mechanistic understanding of how `environmental signals' (parameters such as air, surface and water temperature, food availability, water flow) are translated into signals at the scale of the organism or cell (e.g. body temperature, food capture, hydrodynamic force, aerobic capacity). Predicting the impacts of how changing environments affect populations and ecosystems further mandates an understanding of how organisms `filter' these signals via their physiological response (e.g. whether they respond to high or low frequencies, whether there is a time lag in response, etc.) and must be placed within the context of adult movement and the dispersal of larvae and gametes. Recent studies have shown that patterns of physiological stress in nature are far more complex in space and time than previously assumed and challenge the long-held paradigm that patterns of biogeographic distribution can be based on simple environmental gradients. An integrative, systems-based approach can provide an understanding of the roles of environmental and physiological variability in driving ecological responses and can offer considerable insight and predictive capacity to researchers, resource managers and policy makers involved in planning for the current and future effects of climate change.
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Cites
Pearson, R. G., & Dawson, T. P. (2003) · Global Ecology and Biogeography · doi:10.1046/j.1466-822x.2003.00042.x · Cited by 4,252
Pörtner, H. O., & Farrell, A. P. (2008) · Science · doi:10.1126/science.1163156 · Cited by 2,541
Magnuson, J. J. (1991) · Ecological Applications · doi:10.2307/1941844 · Cited by 64
Cited by
Living in the Now: Physiological Mechanisms to Tolerate a Rapidly Changing Environment
Hofmann, G. E., & Todgham, A. E. (2010) · Annual Review of Physiology · doi:10.1146/annurev-physiol-021909-135900 · Cited by 632
Direct impacts of recent climate warming on insect populations
ROBINET, C., & ROQUES, A. (2010) · Integrative Zoology · doi:10.1111/j.1749-4877.2010.00196.x · Cited by 438
Jeffrey, J. D., Hasler, C. T., Chapman, J. M., Cooke, S. J., & Suski, C. D. (2015) · Integrative and Comparative Biology · doi:10.1093/icb/icv022 · Cited by 57
Abiotic factors affect the performance of the terrestrial isopod Porcellionides pruinosus
Morgado, R., Ferreira, N. G. C., Cardoso, D. N., Soares, A. M. V. M., & Loureiro, S. (2015) · Applied Soil Ecology · doi:10.1016/j.apsoil.2015.06.012 · Cited by 20
Metadata
- Authors
- Helmuth, B.
- Venue
- Journal of Experimental Biology
- Publisher
- The Company of Biologists
- Published
- 2009-03-15
- Volume
- 212
- Issue
- 6
- Pages
- 753-760
- ISSN
- 0022-0949 (ISSN-L)
- 1477-9145
- OpenAlex
- W2128517168
- Cited by
- 215
- References
- 3
- FWCI
- 19.09
- Type
- journal article
- Language
- en
- Open access
- closed
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Data sources
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.