Literature DB >> 33304122

Dataset of host records for introduced parasitoid wasp species (Hymenoptera) in New Zealand.

Darren Ward1,2, Talia Brav-Cubitt3, Sarah Tassell1.   

Abstract

BACKGROUND: The introduction of species to new regions is occurring at an increasing rate. These introductions typically consist of species that are deliberately introduced for the purposes of biological control of pests or of species that are accidentally introduced through human-mediated transport networks.Understanding the potential and actual impacts of these introduced species requires comprehensive information on their geographic distributions and biological associations.However, apart from a few well-known case studies, such information is lacking for many introduced species which severely hinders further assessment of risks and impact. NEW INFORMATION: A dataset is provided on host associations, geographic distributions and dates of collection for both deliberately and accidentally-introduced parasitoid wasp species (Hymenoptera) in New Zealand. Information was obtained by digitising specimens from the New Zealand Arthropod Collection. Dates of records range from 1921 to 2017.The dataset includes 1265 specimen records, representing 127 parasitoid species from 12 families, with host records for 177 host species from 61 families and eight insect orders.These data provide baseline information to help evaluate the risk from introduced parasitoids to non-target and native species. Darren Ward, Talia Brav-Cubitt, Sarah Tassell.

Entities:  

Year:  2020        PMID: 33304122      PMCID: PMC7723879          DOI: 10.3897/BDJ.8.e59472

Source DB:  PubMed          Journal:  Biodivers Data J        ISSN: 1314-2828


Introduction

The introduction of species to new regions is occurring at an increasing rate globally (Seebens et al. 2018). This includes species that are deliberately introduced for the purposes of biological control of pests or of species that are accidentally introduced through human-mediated transport networks. Risk assessments are important tools used in biosecurity and pest management to provide estimates of risk towards native species (Barratt and Moeed 2005, Probert et al. 2019). However, the ability to accurately predict and quantify the risk of a species and its potential impact on native species and ecosystems is often difficult because of the lack of existing baseline data (Leung et al. 2012, Probert et al. 2019). Risk assessments are standard practice for biological control agents prior to their release (Barratt and Moeed 2005). However, risk assessments tend to disproportionately concentrate on economically-important primary sectors in comparison to native ecosystems (Probert et al. 2019). Additionally, species not involved in these economically-important agro-forestry systems typically lack basic information on their taxonomy, biology and distribution (Probert et al. 2019). Many species of are well known as invasive species, for example, ants and social wasps (Lester and Beggs 2019); whereas parasitoid have received less attention despite being widely introduced (Rasplus et al. 2010; Ward and Edney-Browne 2015). A fundamental part of assessing the risk of parasitoid wasps towards native or non-target species is understanding their host associations. Typically, such information is generated by the collection and rearing of insects to see if they are parasitised. The hosts of biocontrol agents are often determined by host range testing through choice and no-choice experiments and this is a vital step of risk assessment (Schaffner 2001). A dataset, derived from records of parasitoids reared from field-collected hosts, would contribute to validating the host range hypotheses generated in the lab studies, facilitating better understanding of actual or ecological host range (Paynter and Teulon 2019). Molecular approaches also offer a new technique to inform about parasitoid-host associations (Rougerie et al. 2010; Gariepy et al. 2018).

General description

Purpose

The main goal was to create a comprehensive dataset of specimen records of parasitoid wasp species () introduced into New Zealand. Taxonomic collections have accumulated specimens over long periods of time (e.g. many decades to centuries), from across many regions and landscapes and are often the only source of specific information or records of an insect species, its occurrence, distribution and specific biological associations. This is particulary so for some groups of insects, for example, cryptic and very small insects, like many parasitoid wasps, which can be overlooked in other kinds of record keeping methods, such as citizen science observations. Consequently, taxonomic collections provide key data on parasitoid-host associations based on a combination of biocontrol voucher specimens, rearing records and historical sampling. We used species and specimens from the New Zealand Arthropod Collection (NZAC), Auckland, New Zealand. This collection is the largest in the country, has the most comprehensive coverage of the New Zealand insect fauna, being formed in 1920 (Ward 2012). Of particular relevance to this dataset are the kinds of specimens and records held in the NZAC, including: vouchers of biocontrol agents released into New Zealand; specimens and their host records from unpublished historical projects; and specimens sent for identification from members of the public, staff from government conservation and biosecurity agencies and scientists working with primary sector industries (agroforestry).

Sampling methods

Study extent

Specimen records from the New Zealand Arthropod Collection (NZAC), Auckland, New Zealand. This is the insect national collection of New Zealand.

Sampling description

First, we compiled a taxonomic checklist that accounted for all species of parasitoid wasps () that have either been deliberately or accidentally introduced into New Zealand using the recent publications of Edney-Browne et al. 2017, Ward and Edney-Browne 2015. Second, all specimens of the introduced species were located in the NZAC and information on specimen labels manually transcribed into an internal collection management system to form the 'dataset'.

Quality control

Transcription of specimen records were revised by the first author to check the status and availablity of taxonomic names. OpenRefine was used to improve data quality and standardise terms. Scientific names were checked using the New Zealand Organisms Register (NZOR).

Geographic coverage

Description

The dataset includes specimens only from New Zealand. The Regions of Auckland (59% of all records) and Nelson (18%) dominate the geographic coverage. This is not dissimilar to a general pattern of collecting for in New Zealand (Ward 2012), but with a stronger signal from the Auckland and Nelson Regions, which is expected in this dataset as both Regions have (or have had) large research institutes related to the study of entomology, biological control and invasive insects.

Coordinates

-49.668 and -34.692 Latitude; 178.808 and 173.009 Longitude.

Taxonomic coverage

In total, the dataset includes specimen records of 127 parasitoid species from 12 families with host records for 177 host species from 61 families and eight insect orders. These are (alphabetically by order and family): (, , , , , ); (, , , , , , , , , ); (, , , , , , , , , , , , ); (, , , , , , , , ); (, , , , , , , , , , , , , , , , , , , ); (); (); and (). The dataset can be split into 1) 36 deliberately-introduced parasitoid species from eight families with associated records for 56 host species from 28 families; and 2) 91 accidentally-introduced parasitoid species from 11 families with host records for 138 host species from 52 families and eight insect orders. For accidentally-introduced species, has the most species as hosts (38%, Table 1), but for deliberately-introduced species, has the most species as hosts (40%) followed by (35%). This likely reflects the importance of as pests and as hosts for deliberately-introduced biological control agents and possibly a sampling bias towards examining as hosts of accidentally-introduced parasitoids.
Table 1.

Percentage of host records for each taxonomic order for accidentally and deliberately-introduced parasitoid species in New Zealand.

OrderAccidental IntroductionsDeliberate Introductions
Coleoptera 13%7%
Diptera 16%16%
Hemiptera 20%40%
Hymenoptera 13%2%
Lepidoptera 38%35%
Orthoptera 1%0%
Thysanoptera 1%0%

Temporal coverage

Notes

Overall, the temporal coverage of the dataset is from 1921 - 2017; and is similar for deliberate introductions (1922 - 2010) and accidental introductions (1921 - 2017) (Fig. 1), even though all specimens were digitised.
Figure 1.

Dates of collection for specimens of accidental (blue) or deliberately (red) introduced parasitoid wasp species in New Zealand.

Most records of deliberately-introduced species are between the periods of 1960-1970s and 1980-1990s, periods that correspond with the greatest number of programmes to introduce and release biological control agents (Charles 1998). Records of accidentally-introduced species have increased steadily over time and from 2000 onwards, dominate the dataset, reflecting the increased awareness and study of accidentally-introduced species in the general New Zealand environment (Ward and Edney-Browne 2015).

Usage licence

Usage licence

Creative Commons Public Domain Waiver (CC-Zero)

Data resources

Data package title

Introduced Parasitoid-Host Records in New Zealand

Resource link

https://doi.org/10.7931/zsyg-1y34

Number of data sets

1

Data set 1.

Data set name

Introduced Parasitoid-Host Records in New Zealand

Data format

Darwin Core Standard

Number of columns

29

Download URL

https://datastore.landcareresearch.co.nz/dataset/introduced-parasitoid-host-records-in-new-zealand

Data format version

1.0
Data set 1.
Column labelColumn description
DatasetAccidental (species unintentionally introduced into New Zealand) or Deliberate (species intentionally introduced into New Zealand, mainly for biological control)
NZAC_Accession_NumberAccession Number in the New Zealand Arthropod Collection (NZAC)
QuantityNumber of specimen records with the same information
OrderTaxonomic Order
FamilyTaxonomic Family
Taxon_NameGenus and species name
Life_StageLife stage of digitised specimens (all are Adults)
CountryCountry from where specimen was collected (all records are from New Zealand)
New_Zealand_Area_Code2-digit area code of entomological regions in New Zealand
LocalityLocation the specimen was collected from
DateDate the specimen was collected
YearYear the specimen was collected
CollectorsPerson(s) who collected the specimen(s)
MethodHow the specimen was collected / sampled
Biological_information_labelBiological information on the specimen label
Has_HostYes /No
Host_speciesGenus and species name of the host species
Host_NZ_BiostatusStatus of host in NZ: Endemic (only found in NZ); Native (naturally occurring in NZ, but also present elsewhere) or Exotic (accidentally or deliberately introduced into New Zealand)
Host_Common_NameName on specimen label when a taxonomic name was not listed
Identification_UncertaintyUncertainty of the host identification is noted
Host_FamilyTaxonomic Family of the host
Host_OrderTaxonomic Order of the host
Life_Stage_of_HostLife Stage of Host recorded on specimen label (adult, larvae, pupa, immature)
AssociationOther information on specimen label relating to host/biology/microhabitat
Latitude_Degrees_decimalDecimal degrees of latitude
Longitude_Degrees_decimalDecimal degrees of longitude
DatumGeoreference system (all are WGS84)
Is_derivedIs the georeferenced derived
Measurement_Method_NameMethod to obtain derived georeference
  7 in total

1.  Molecular analysis of parasitoid linkages (MAPL): gut contents of adult parasitoid wasps reveal larval host.

Authors:  Rodolphe Rougerie; M Alex Smith; Jose Fernandez-Triana; Carlos Lopez-Vaamonde; Sujeevan Ratnasingham; Paul D N Hebert
Journal:  Mol Ecol       Date:  2010-11-18       Impact factor: 6.185

Review 2.  Invasion Success and Management Strategies for Social Vespula Wasps.

Authors:  Philip J Lester; Jacqueline R Beggs
Journal:  Annu Rev Entomol       Date:  2018-09-26       Impact factor: 19.686

Review 3.  TEASIng apart alien species risk assessments: a framework for best practices.

Authors:  Brian Leung; Nuria Roura-Pascual; Sven Bacher; Jaakko Heikkilä; Lluis Brotons; Mark A Burgman; Katharina Dehnen-Schmutz; Franz Essl; Philip E Hulme; David M Richardson; Daniel Sol; Montserrat Vilà; Marcel Rejmanek
Journal:  Ecol Lett       Date:  2012-09-30       Impact factor: 9.492

4.  Global rise in emerging alien species results from increased accessibility of new source pools.

Authors:  Hanno Seebens; Tim M Blackburn; Ellie E Dyer; Piero Genovesi; Philip E Hulme; Jonathan M Jeschke; Shyama Pagad; Petr Pyšek; Mark van Kleunen; Marten Winter; Michael Ansong; Margarita Arianoutsou; Sven Bacher; Bernd Blasius; Eckehard G Brockerhoff; Giuseppe Brundu; César Capinha; Charlotte E Causton; Laura Celesti-Grapow; Wayne Dawson; Stefan Dullinger; Evan P Economo; Nicol Fuentes; Benoit Guénard; Heinke Jäger; John Kartesz; Marc Kenis; Ingolf Kühn; Bernd Lenzner; Andrew M Liebhold; Alexander Mosena; Dietmar Moser; Wolfgang Nentwig; Misako Nishino; David Pearman; Jan Pergl; Wolfgang Rabitsch; Julissa Rojas-Sandoval; Alain Roques; Stephanie Rorke; Silvia Rossinelli; Helen E Roy; Riccardo Scalera; Stefan Schindler; Kateřina Štajerová; Barbara Tokarska-Guzik; Kevin Walker; Darren F Ward; Takehiko Yamanaka; Franz Essl
Journal:  Proc Natl Acad Sci U S A       Date:  2018-02-05       Impact factor: 11.205

5.  A modified DNA barcode approach to define trophic interactions between native and exotic pentatomids and their parasitoids.

Authors:  Tara D Gariepy; Allison Bruin; Joanna Konopka; Cynthia Scott-Dupree; Hannah Fraser; Marie-Claude Bon; Elijah Talamas
Journal:  Mol Ecol       Date:  2018-10-10       Impact factor: 6.185

6.  Poles Apart: Comparing Trends of Alien Hymenoptera in New Zealand with Europe (DAISIE).

Authors:  Darren Ward; Emma Edney-Browne
Journal:  PLoS One       Date:  2015-07-06       Impact factor: 3.240

7.  More than just records: analysing natural history collections for biodiversity planning.

Authors:  Darren F Ward
Journal:  PLoS One       Date:  2012-11-21       Impact factor: 3.240

  7 in total

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