2004
DOI: 10.1890/03-8003
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Integrating Experimental and Gradient Methods in Ecological Climate Change Research

Abstract: Field‐based research on the responses of ecosystems to anthropogenic climate change has primarily used either natural gradient or experimental methods. Taken separately, each approach faces methodological, spatial, and temporal limitations that potentially constrain the generality of results and predictions. Integration of the two approaches within a single study can overcome some of those limitations and provide ways to distinguish among consistent, dynamic, and context‐dependent ecosystem responses to global… Show more

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Cited by 242 publications
(261 citation statements)
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References 100 publications
(17 reference statements)
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“…By combining these two methods, we overcome many of the limitations associated with each of the individual methods and therefore obtain a more complete understanding of how the vegetation will change at different temporal scales (Dunne et al 2004). When only the presence-absence of species is considered, the changes in the vegetation in the circles during the last two decades are relatively consistent with the changes along the spatial gradient in cryogenic disturbance processes.…”
Section: Vegetation Changes In Non-sorted Circles During the Last Thrmentioning
confidence: 99%
“…By combining these two methods, we overcome many of the limitations associated with each of the individual methods and therefore obtain a more complete understanding of how the vegetation will change at different temporal scales (Dunne et al 2004). When only the presence-absence of species is considered, the changes in the vegetation in the circles during the last two decades are relatively consistent with the changes along the spatial gradient in cryogenic disturbance processes.…”
Section: Vegetation Changes In Non-sorted Circles During the Last Thrmentioning
confidence: 99%
“…Thus, our best predictions of ecological and evolutionary responses to anthropogenic climate change come from studies that integrate long-term experiments with observational approaches and model phenotypes as a function of appropriate climatic factors (e.g. the timing of snowmelt instead of mean annual temperature; Dunne et al, 2004).…”
Section: Simulate Predisturbance and Postdisturbance Conditions Expermentioning
confidence: 99%
“…This is consistent with the intent to explore future scenarios, where warmer, high-CO 2 waters are expected, and highlights the importance of assessing the consistency between results obtained experimentally and those derived from in situ empirical relationships. Although experiments may be limited in terms of size and timescales for response as well as their ability to properly mimic environments exposed to multiple, interacting drivers 22 , inferences drawn from field surveys are correlative and do not necessarily support mechanistic cause-effect interpretations, as variables may suffer from co-linearity. Integrating both experimental approaches and field observations provides confidence in inferences, and enhances the predictive power of modelled relationships 22 .…”
mentioning
confidence: 99%