Vegetation phenology and habitat discrimination: Impacts for E. multilocularis transmission host modelling

Affiliation auteurs!!!! Error affiliation !!!!
TitreVegetation phenology and habitat discrimination: Impacts for E. multilocularis transmission host modelling
Type de publicationJournal Article
Year of Publication2016
AuteursMarston CG, Giraudoux P, Armitage RP, F. Danson M, Reynolds SC, Wang Q, Qiu J, Craig PS
JournalREMOTE SENSING OF ENVIRONMENT
Volume176
Pagination320-327
Date PublishedAPR
Type of ArticleArticle
ISSN0034-4257
Mots-clésEchinococcus multilocularis, EVI, MODIS, Ochotona, time-series, vegetation index
Résumé

Echinococcus multilocularis (Em), a parasitic tapeworm, is responsible for a significant burden of human disease across continental Asia. Here, we use a time-series of MODIS 16-day 250 m Enhanced Vegetation Index (EVI) satellite data to quantify the seasonal vegetation dynamics across a study area in Serxu County, Sichuan Province, China, in relation to the presence of the Em intermediate host Ochotona curzoniae (plateau pika) and Ochotona cansus (Gansu pika) (here merged to Ochotona spp.). A series of derived phenological metrics are analysed using the random forests statistical method to determine the relative importance of seasonal vegetation characteristics. Results indicate negative relationships between Ochotona spp. presence and EVI showing a preference for low-biomass habitats. However, EVI values during green-up and senescence periods are also shown to be important, potentially resulting from improved detectability of low-biomass grassland habitats at these times. Improved detection of Ochotona spp. preferred habitats via time-series EVI imagery offers better understanding of the distributions of this Em host, and the potential for monitoring the changes in Ochotona spp. optimal habitat distributions resulting from landscape change. This could aid the identification of villages at increased risk of infection, enabling preventive strategies to be adopted. (C) 2016 The Authors. Published by Elsevier Inc.

DOI10.1016/j.rse.2016.02.015