The predictability of mosquito abundance from daily to monthly timescales.

Jian, Yun; Silvestri, Sonia; Brown, Jeff; Hickman, Rick; Marani, Marco

Jian, Yun; Silvestri, Sonia; Brown, Jeff; Hickman, Rick; Marani, Marco.

Affiliation

Jian Y; Nicholas School of the Environment, Duke University, Durham, North Carolina, 27708, USA.
Silvestri S; Nicholas School of the Environment, Duke University, Durham, North Carolina, 27708, USA.
Brown J; Mosquito Control Department, Brunswick County Government, Brunswick, North Carolina, 28422, USA.
Hickman R; Mosquito Control Department, Brunswick County Government, Brunswick, North Carolina, 28422, USA.
Marani M; Nicholas School of the Environment, Duke University, Durham, North Carolina, 27708, USA.

Ecol Appl ; 26(8): 2609-2620, 2016 Dec.

Article in En | MEDLINE | ID: mdl-27865031

Subject(s)

Aedes; Animals; Forecasting; Insect Vectors; North Carolina; Population Dynamics

Key words

Aedes vexans; Culiseta melanura; mosquito abundance prediction; mosquito population dynamics; per capita growth rate; state space reconstruction; timescales

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Aedes Type of study: Prognostic_studies / Risk_factors_studies Limits: Animals Country/Region as subject: America do norte Language: En Journal: Ecol Appl Year: 2016 Type: Article Affiliation country: United States

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