NDLI: The use of high-resolution gridded climate data in the development of chironomid-based inference models from remote areas

Content Provider	Springer Nature Link
Author	Rolland, Nicolas Porinchu, David F. Larocque, Isabelle
Copyright Year	2008
Abstract	The development of chironomid-based air temperature inference models in high latitude regions often relies on limited spatial coverage of meteorological data and/or on punctual measurements of water temperature at the time of sampling. The use of simple linear regression to relate air temperature and latitude was until recently the best method to characterize the air temperature gradient along a latitudinal gradient. However, recent studies have used high-resolution gridded climate data to develop new chironomid-based air temperature inference models. This innovative approach has, however, never been further analyzed to test its reliability. This study presents a method using ArcGIS$^{®}$ to extract air temperatures from a high-resolution global gridded climate data set (New et al. 2002) and to incorporate these new data in a variety of chironomid-based air temperature inference models to test their performance. Results suggest that this method is reliable and produces better estimates of air temperature and will be helpful in the development of further quantitative air temperature inference models in remote areas.
Starting Page	343
Ending Page	348
Page Count	6
File Format	PDF
ISSN	09212728
Journal	Journal of Paleolimnology
Volume Number	41
Issue Number	2
e-ISSN	15730417
Language	English
Publisher	Springer Netherlands
Publisher Date	2008-08-14
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Gridded climate data Chironomid Inference model Air temperature Paleoclimatology Geology Freshwater & Marine Ecology Physical Geography Climate Change Sedimentology Paleontology
Content Type	Text
Resource Type	Article
Subject	Earth-Surface Processes Aquatic Science

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