Cross Environmental Variable Synchrony

Spatial synchrony, often called population synchrony and henceforth referred to simply as synchrony, is when populations of the same species at different locations exhibit similar fluctuations through time in density or abundance. Synchrony is often measured as the correlation between population abundance/density time series in different locations. The three main, classically recognized mechanisms of synchrony are: dispersal among populations; the response of populations to environmental factors, such as climatic variables, which are correlated over space; and trophic interactions with other synchronous or mobile species. The second mechanism is called the Moran effect; the Moran effect is, arguably, the most common and important mechanism of synchrony over large spatial scales. Cross environmental variable synchrony (CEV synchrony) is when one environmental variable in one location is correlated through time with another, distinct environmental variable in another location. Here, we systematically assessed the presence and nature of CEV synchrony in temperature and rainfall variables which are commonly important for many population systems using 100-year weather data from weather stations in North America to understanding the potential impacts of CEV synchrony. The result of our findings provided the first step toward understanding what impacts CEV synchrony may have on population synchrony in real systems.

Grantor dc:publisher

University of Kansas

Year dc:date.issued

2023

Author dc:creator

• ADEBOJE, ADEOLA O

Advisor dc:contributor.advisor

• Reuman, Daniel C

• Environmental studies
• Climate change
• Climate
• Cross Environmental Variable
• Moran effect
• Population
• Spatial
• Synchrony

Statement dc:rights

• Copyright held by the author.

Language dc:language.iso

en

Dc Identifier Other

http://dissertations.umi.com/ku:19295

OAI identifier oai:identifier

oai:kuscholarworks.ku.edu:1808/38658