Do diverse landscapes provide for effective natural pest control in subtropical rice?

DOI

This datasets comprises data from 20 rice fields embedded in a gradient of landscapes from crop-dominated to semi-natural habitat-dominated, in the Jiangxi Province in China in 2014 and 2015. Each field was split into two plots: in one plot no pesticides were applied and in the other plot farmers applied pesticides according to their normal pest management practices. The dataset comprises information on the focal rice fields, the land use surrounding the focal rice fields, arthropod abundances and diversity, crop damage, an exclusion experiment to assess the potential of natural enemies to suppress pests, pest management practices and rice yield.

Identifier
DOI https://doi.org/10.17026/dans-zde-gnpd
Metadata Access https://phys-techsciences.datastations.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.17026/dans-zde-gnpd
Provenance
Creator Y. Zou
Publisher DANS Data Station Phys-Tech Sciences
Contributor Data Librarian; J. de Kraker (Department of Science, Open University, Heerlen, The Netherlands); F.J.J.A. Bianchi (Farming Systems Ecology, Wageningen University, Wageningen, The Netherlands); H. Xiao (Institute of Entomology, Jiangxi Agricultural University, Nanchang, China); J. Huang (School of Advanced Agricultural Sciences, Peking University, Beijing, China); X. Deng (Centre for Chinese Agricultural Policy, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China); L. Hou (School of Advanced Agricultural Sciences, Peking University, Beijing, China); W. van der Werf (Centre for Crop Systems Analysis, Wageningen University, Wageningen, The Netherlands); Wageningen University & Research
Publication Year 2019
Rights DANS Licence; info:eu-repo/semantics/restrictedAccess; https://doi.org/10.17026/fp39-0x58
OpenAccess false
Contact Data Librarian (Wageningen UR)
Representation
Resource Type Dataset
Format text/csv; application/zip; text/plain
Size 1801; 246949; 1456; 5812; 975237; 9414; 16376; 8650; 9008; 23960; 6977
Version 1.0
Discipline Agricultural Sciences; Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Life Sciences