
Tick‐, mosquito‐, and rodent‐borne parasite sampling designs for the National Ecological Observatory Network
Author(s) -
Springer Yuri P.,
Hoekman David,
Johnson Pieter T. J.,
Duffy Paul A.,
Hufft Rebecca A.,
Barnett David T.,
Allan Brian F.,
Amman Brian R.,
Barker Christopher M.,
Barrera Roberto,
Beard Charles B.,
Beati Lorenza,
Begon Mike,
Blackmore Mark S.,
Bradshaw William E.,
Brisson Dustin,
Calisher Charles H.,
Childs James E.,
DiukWasser Maria A.,
Douglass Richard J.,
Eisen Rebecca J.,
Foley Desmond H.,
Foley Janet E.,
Gaff Holly D.,
Gardner Scott L.,
Ginsberg Howard S.,
Glass Gregory E.,
Hamer Sarah A.,
Hayden Mary H.,
Hjelle Brian,
Holzapfel Christina M.,
Juliano Steven A.,
Kramer Laura D.,
Kuenzi Amy J.,
LaDeau Shan L.,
Livdahl Todd P.,
Mills James N.,
Moore Chester G.,
Morand Serge,
Nasci Roger S.,
Ogden Nicholas H.,
Ostfeld Richard S.,
Parmenter Robert R.,
Piesman Joseph,
Reisen William K.,
Savage Harry M.,
Sonenshine Daniel E.,
Swei Andrea,
Yabsley Michael J.
Publication year - 2016
Publication title -
ecosphere
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.255
H-Index - 57
ISSN - 2150-8925
DOI - 10.1002/ecs2.1271
Subject(s) - wildlife , ecology , sampling (signal processing) , animal ecology , scarcity , biology , wildlife disease , environmental resource management , geography , environmental science , filter (signal processing) , computer science , economics , computer vision , microeconomics
Parasites and pathogens are increasingly recognized as significant drivers of ecological and evolutionary change in natural ecosystems. Concurrently, transmission of infectious agents among human, livestock, and wildlife populations represents a growing threat to veterinary and human health. In light of these trends and the scarcity of long‐term time series data on infection rates among vectors and reservoirs, the National Ecological Observatory Network ( NEON ) will collect measurements and samples of a suite of tick‐, mosquito‐, and rodent‐borne parasites through a continental‐scale surveillance program. Here, we describe the sampling designs for these efforts, highlighting sampling priorities, field and analytical methods, and the data as well as archived samples to be made available to the research community. Insights generated by this sampling will advance current understanding of and ability to predict changes in infection and disease dynamics in novel, interdisciplinary, and collaborative ways.