Data and code for Cross-regional ecological risks and mitigation strategies of pest control for agricultural product demand

Zenodo (CERN European Organization for Nuclear Research)

Abstract

This repository contains the input data, model code, model outputs, and assessment results used to support the manuscript. The materials cover neonicotinoid (NEO) applications in 19 crops across Chinese provinces and 218 third-order river basins from 2013 to 2021, multimedia environmental fate modelling, bee dietary exposure modelling, multi-taxon ecological risk assessment, and sectoral/regional contribution analyses.

Authors 8

1. Xiaoman Yan

   Beijing Normal University

   Affiliation as printed

   Beijing Normal University

2. Hui Li

   Beijing Normal University

   Affiliation as printed

   Beijing Normal University

3. Z H Chen

   Chongqing University

   Affiliation as printed

   Chongqing University

4. Annika Jahnke

   Helmholtz Centre for Environmental Research

   Affiliation as printed

   Helmholtz Centre for Environmental Research GmbH - UFZ

5. Andreas Schäffer Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University

6. Sai Liang

   Guangdong University of Technology

   Affiliation as printed

   Guangdong University of Technology

7. Zhenyao Shen

   Beijing Normal University

   Affiliation as printed

   Beijing Normal University

8. Lei Chen

   Beijing Normal University

   Affiliation as printed

   Beijing Normal University