Quantifying unpredictability: A multiple-model approach based on satellite imagery data from Mediterranean ponds.

ABSTRACT: Fluctuations in environmental parameters are increasingly being recognized as essential features of any habitat. The quantification of whether environmental fluctuations are prevalently predictable or unpredictable is remarkably relevant to understanding the evolutionary responses of organisms. However, when characterizing the relevant features of natural habitats, ecologists typically face two problems: (1) gathering long-term data and (2) handling the hard-won data. This paper takes advantage of the free access to long-term recordings of remote sensing data (27 years, Landsat TM/ETM+) to assess a set of environmental models for estimating environmental predictability. The case study included 20 Mediterranean saline ponds and lakes, and the focal variable was the water-surface area. This

SUBMITTER: Franch-Gras L 

PROVIDER: S-EPMC5679618 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature