XDrift—An R package to simulate spatially explicit pesticide spray-drift exposure of non-target-species habitats at landscape scales
Author(s) -
Sascha Bub,
Thorsten Schad,
Zhenglei Gao
Publication year - 2020
Publication title -
softwarex
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.528
H-Index - 21
ISSN - 2352-7110
DOI - 10.1016/j.softx.2020.100610
Subject(s) - environmental science , pesticide , deposition (geology) , authorization , risk assessment , computer science , scale (ratio) , european union , code (set theory) , environmental resource management , geography , ecology , cartography , business , geology , biology , paleontology , computer security , set (abstract data type) , sediment , economic policy , programming language
Authorization of pesticides in the European Union is based on a risk assessment that aims at prevention of unacceptable ecological effects. This ecological risk assessment increasingly requires data and tools to base informed decisions on a more realistic modeling of processes at different scales. XDrift is the R implementation of such a data-driven model dealing with spray-drift exposure resulting from pesticide spray-applications. It employs the same data on spray-drift depositions as used in the regulatory risk assessment but conserves observed variability. Applied in a multi-scale modeling environment, XDrift projects measured drift deposition patterns into landscape scenarios. Both, users and researchers benefit from the publication of the R package and its source code.
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