Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/55090
Title: Pollen-insect interaction meta-networks identify key relationships for conservation in mosaic agricultural landscapes
Contributor(s): Hall, Mark A  (author); Stavert, Jamie R (author); Saunders, Manu E  (author)orcid ; Barr, Shannon (author); Haberle, Simon G (author); Rader, Romina  (author)orcid 
Publication Date: 2022-06
Early Online Version: 2022-01-17
Open Access: Yes
DOI: 10.1002/eap.2537
Handle Link: https://hdl.handle.net/1959.11/55090
Abstract: Flower visitors use different parts of the landscape through the plants they visit, however these connections vary within and among land uses. Identifying which flower-visiting insects are carrying pollen, and from where in the landscape, can elucidate key pollen–insect interactions and identify the most important sites for maintaining community-level interactions across land uses. We developed a bipartite meta-network, linking pollen–insect interactions with the sites they occur in. We used this to identify which land-use types at the site- and landscape-scale (within 500 m of a site) are most important for conserving pollen–insect interactions. We compared pollen–insect interactions across four different land uses (remnant native forest, avocado orchard, dairy farm, rotational potato crop) within a mosaic agricultural landscape. We sampled insects using flight intercept traps, identified pollen carried on their bodies and quantified distinct pollen–insect interactions that were highly specialized to both natural and modified land uses. We found that sites in crops and dairy farms had higher richness of pollen–insect interactions and higher interaction strength than small forest patches and orchards. Further, many interactions involved pollinator groups such as flies, wasps, and beetles that are often under-represented in pollen–insect network studies, but were often connector species in our networks. These insect groups require greater attention to enable wholistic pollinator community conservation. Pollen samples were dominated by grass (Poaceae) pollen, indicating anemophilous plant species may provide important food resources for pollinators, particularly in modified land uses. Field-scale land use (within 100 m of a site) better predicted pollen–insect interaction richness, uniqueness, and strength than landscape-scale. Thus, management focused at smaller scales may provide more tractable outcomes for conserving or restoring pollen–insect interactions in modified landscapes. For instance, actions aimed at linking high-richness sites with those containing unique (i.e., rare) interactions by enhancing floral corridors along field boundaries and between different land uses may best aid interaction diversity and connectance. The ability to map interactions across sites using a meta-network approach is practical and can inform land-use planning, whereby conservation efforts can be targeted toward areas that host key interactions between plant and pollinator species.
Publication Type: Journal Article
Source of Publication: Ecological Applications, 32(4), p. 1-17
Publisher: John Wiley & Sons, Inc
Place of Publication: United States of America
ISSN: 1939-5582
1051-0761
Fields of Research (FoR) 2020: 310302 Community ecology (excl. invasive species ecology)
Socio-Economic Objective (SEO) 2020: 280101 Expanding knowledge in the agricultural, food and veterinary sciences
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article
School of Environmental and Rural Science

Files in This Item:
2 files
File Description SizeFormat 
openpublished/PollenInsectInteractionHallStavertSaundersBarrRader2022JournalArticle.pdf1.06 MBAdobe PDF
Download Adobe
View/Open
Show full item record

SCOPUSTM   
Citations

3
checked on Nov 11, 2023

Page view(s)

280
checked on Nov 19, 2023

Download(s)

4
checked on Nov 19, 2023
Google Media

Google ScholarTM

Check

Altmetric


This item is licensed under a Creative Commons License Creative Commons