From pest data to abundance-based risk maps combining eco-physiological knowledge, weather, and habitat variability.

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Bibliographic Details
Title: From pest data to abundance-based risk maps combining eco-physiological knowledge, weather, and habitat variability.
Authors: Lacasella F; Department of Entomology, University of Wisconsin, Madison, Wisconsin, 53706, USA., Marta S; Department of Entomology, University of Wisconsin, Madison, Wisconsin, 53706, USA., Singh A; Department of Forest and Wildlife Ecology, University of Wisconsin, Madison, Wisconsin, 53706, USA., Stack Whitney K; Department of Entomology, University of Wisconsin, Madison, Wisconsin, 53706, USA., Hamilton K; Wisconsin Department of Agriculture, Trade and Consumer Protection, Madison, Wisconsin, 54601, USA., Townsend P; Department of Forest and Wildlife Ecology, University of Wisconsin, Madison, Wisconsin, 53706, USA., Kucharik CJ; Department of Agronomy and Nelson Institute Center for Sustainability and Global Change, University of Wisconsin, Madison, Wisconsin, 53706, USA., Meehan TD; Department of Entomology, University of Wisconsin, Madison, Wisconsin, 53706, USA., Gratton C; Department of Entomology, University of Wisconsin, Madison, Wisconsin, 53706, USA.
Source: Ecological applications : a publication of the Ecological Society of America [Ecol Appl] 2017 Mar; Vol. 27 (2), pp. 575-588. Date of Electronic Publication: 2017 Feb 24.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Ecological Society of America Country of Publication: United States NLM ID: 9889808 Publication Model: Print-Electronic Cited Medium: Print ISSN: 1051-0761 (Print) Linking ISSN: 10510761 NLM ISO Abbreviation: Ecol Appl Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1051-0761
DOI:10.1002/eap.1467