Pollinators and other insects associated with blueberry and canola crops

Occurrence
Latest version published by Red Chilena de Polinización on May 5, 2023 Red Chilena de Polinización
Publication date:
05 May 2023
License:
CC-BY-NC 4.0

Download the latest version of this resource data as a Darwin Core Archive (DwC-A) or the resource metadata as EML or RTF:

Data as a DwC-A file download 773 records in English (21 KB) - Update frequency: not planned
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Description

This dataset contains occurrence information of pollinators and other insects associated to blueberry and canola crops sampled in 2019. This work was conducted as part of the "Safeguarding pollination services in a changing world: theory into practice" (SURPASS2), a joint endeavor of researchers from four countries (UK, Argentina, Brazil, and Chile). During the austral spring of 2019, a group of researchers led by Dr. Lorena Vieli sampled insects in different blueberry and canola crops, aiming to describe the pollinator community associated to those crops. Here we present the resulting database, which is focused in pollinator insects, but also presents other arthropods present in those crops.

Data Records

The data in this occurrence resource has been published as a Darwin Core Archive (DwC-A), which is a standardized format for sharing biodiversity data as a set of one or more data tables. The core data table contains 773 records.

This IPT archives the data and thus serves as the data repository. The data and resource metadata are available for download in the downloads section. The versions table lists other versions of the resource that have been made publicly available and allows tracking changes made to the resource over time.

Versions

The table below shows only published versions of the resource that are publicly accessible.

How to cite

Researchers should cite this work as follows:

Vieli L, Murua M, Jofre-Perez C, Fuentes E, Fonturbel F (2023). Pollinators and other insects associated with blueberry and canola crops. Version 1.1. Red Chilena de Polinización. Occurrence dataset. https://gbif-chile.mma.gob.cl/ipt/resource?r=crop_pollinators&v=1.1

Rights

Researchers should respect the following rights statement:

The publisher and rights holder of this work is Red Chilena de Polinización. This work is licensed under a Creative Commons Attribution Non Commercial (CC-BY-NC 4.0) License.

GBIF Registration

This resource has been registered with GBIF, and assigned the following GBIF UUID: 56ef6dea-f9dc-45a6-8ea1-ff88e6ed19a3.  Red Chilena de Polinización publishes this resource, and is itself registered in GBIF as a data publisher endorsed by GBIF Chile.

Keywords

Occurrence; Chile; pollinators; crops

Contacts

Lorena Vieli
  • Originator
Professor
Universidad de La Frontera
Temuco
CL
Maureen Murua
  • Author
  • Originator
Professor
Universidad Mayor
Santiago
CL
Christian Jofre-Perez
  • Curator
  • Originator
Curator
Pontificia Universidad Católica de Valparaíso
Av. Universidad 330
2373223 Valparaíso
Valparaíso
CL
Esteban Fuentes
  • Originator
Graduate student
Pontificia Universidad Católica de Valparaíso
Av. Universidad 330
2373223 Valparaíso
Valparaíso
CL
Francisco Fonturbel
  • Originator
  • Point Of Contact
  • Principal Investigator
Adjunct professor
Pontificia Universidad Catolica de Valparaiso
Av. Universidad 330
2373223 Valparaíso
Valparaíso
CL
Universidad de Valparaiso
Graduate student
Valparaiso
CL

Geographic Coverage

Southern Chile, Araucania Region

Bounding Coordinates South West [-41.902, -75.146], North East [-35.747, -69.697]

Taxonomic Coverage

No Description available

Kingdom Animalia
Phylum Arthropoda
Class Insecta
Order Coleoptera, Diptera, Hymenoptera
Family Asilidae, Anthomyiidae, Melyridae, Muscidae, Empididae, Syrphidae, Mycetophilidae, Chironomidae, Staphylinidae, Apidae, Formicidae

Temporal Coverage

Start Date / End Date 2019-09-16 / 2019-11-08

Project Data

SURPASS2 is an international partnership between Argentina, Brazil, Chile and the UK, working on pollinators and pollination services in South America. Our objectives are to develop knowledge, build capacity and define tangible actions for conservation and sustainable use of pollinators. SURPASS2 will deliver evidence for the creation of resilient pollination services for sustainable economic growth, positive agricultural and environmental outcomes for improved human health and wellbeing. Through our research activities, we are providing crucial knowledge to food producers, policy-makers, land managers and the public who need better evidence based tools to support decision making for sustainable outcomes. We aim to offer improvements to the future cultural and social recognition of the vital roles that pollinators, and those that work with them, play in sustaining crop production and ecosystem functioning.

Title Safeguarding pollination services in a changing world: Theory into practice (SURPASS2)
Identifier NE/S011870/1
Funding The SURPASS2 project is funded under the Newton Fund Latin America Biodiversity Programme: Biodiversity - Ecosystem services for sustainable development, awarded by the UKRI Natural Environment Research Council (NERC), in partnership with the Argentina National Scientific and Technical Research Council (CONICET), Brazil/São Paulo Research Foundation (FAPESP), and Chile National Agency for Research and Development (ANID). Grant references: NERC: NE/S011870/2 - FAPESP: 2018/14994-1 - CONICET: RD 1984/19 - ANID: NE/S011870/1.
Study Area Description Argentina, Brazil, and Chile
Design Description We installed pan traps in blueberry and canola crops, please see Jaques et al. (2023) for details: https://doi.org/10.3390/agronomy13020552

Sampling Methods

We used three pan trap colors: blue (430-500 nm), white (400-700 nm), and yellow (565-580 nm). In each orchard, we placed three sets of pan traps at the crop border (0 - 10 m) and three sets within the crop (50-70 m from the border; in some smaller blueberry orchards, it was not possible to place them 50 m from the field border, in such locations we maximized the distance to the border as much as possible; Fig. S2). Thus, we placed 18 pan traps at each orchard, nine (i.e., three sets of yellow, white, and blue plates) in the edge of the crop and nine in the center, making a total of 144 pan traps per crop type, and 288 pan traps overall. Pan traps (18 cm in diameter and 10 cm in depth, Forfest, Brazil) were placed twice during flowering in blueberry (sampling bouts were separated by at least five days) orchards and once during flowering in the canola fields on days with good weather (i.e., no rain). Each pan trap set consisted of three traps of different colors (i.e., white, yellow, and blue) separated ~3m from each other (following FAO recommendations [21]). Pan traps were placed 50 cm above the ground and secured using a wooden stake to fix them and avoid mechanical effects from the wind. We placed pan traps in the morning, filled them with water and a few drops of odorless soap, and left them for 24h in the field. After that, we collected the insects captured by the pan traps and preserved them in recipients with 70% ethanol, separating them according to trap color and position (center or border). In our study area, blueberries bloomed early in spring, and canola started to bloom a few weeks after blueberry flowering was over. We conducted pan trap sampling in blueberry crops between September 16th and October 5th 2019, and between October 30th and November 8th 2019, in the canola crops.

Study Extent The study was carried out in southern Chile, in the Araucanía Region (38.2°S - 39.3°S; Fig. S1). Pan traps were placed during flowering in eight blueberry (Vaccinium corymbosum) orchards (= crop fields) between September-October 2019 and in eight canola (Brassica napus) fields between October-November 2019. In both cases, the same crop species cultivar was sampled to reduce the confounding effects of different cultivars on the results. Blueberry orchards had a mean size of 35.38  12.66 ha (mean +- SE), while canola orchards had a mean size of 130.50 +- 54.36 ha. Sampled blueberry orchards were at least 8 km apart, while canola fields were at least 4.7 km apart from each other.
Quality Control Data was checked for taxonomic correctness and completeness.

Method step description:

  1. A total of 3375 insect specimens were obtained, belonging to 127 insect species grouped in 58 families, which were examined by an expert entomologist (CJP) and identified at the lowest taxonomic level possible, based on the Catalogue of Life (https://www.catalogueoflife.org/) database.

Bibliographic Citations

  1. Jaques, S.A., C. Jofré-Pérez, M.M. Murúa, L. Vieli & F.E. Fontúrbel. 2023. Crop-specific effects of pan-trap sampling of potential pollinators as influenced by trap color and location. Agronomy 13: 552. doi: 10.3390/agronomy13020552

Additional Metadata