<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:contributor>Daniel E. Pendleton</dc:contributor>
  <dc:contributor>Annika W. Walters</dc:contributor>
  <dc:contributor>Lauren A. Rogers</dc:contributor>
  <dc:creator>Jelena H. Pantel</dc:creator>
  <dc:date>2014</dc:date>
  <dc:description>&lt;p&gt;Linking population and community responses to environmental variability lies at the heart of ecology, yet methodological approaches vary and existence of broad patterns spanning taxonomic groups remains unclear. We review the characteristics of environmental and biological variability. Classic approaches to link environmental variability to population and community variability are discussed as are the importance of biotic factors such as life history and community interactions. In addition to classic approaches, newer techniques such as information theory and artificial neural networks are reviewed. The establishment and expansion of observing networks will provide new long-term ecological time-series data, and with it, opportunities to incorporate environmental variability into research. This review can help guide future research in the field of ecological and environmental variability.&lt;/p&gt;</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:language>en</dc:language>
  <dc:publisher>Association for the Sciences of Limnology and Oceanography</dc:publisher>
  <dc:title>Linking environmental variability to population and community dynamics</dc:title>
  <dc:type>chapter</dc:type>
</oai_dc:dc>