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Trait-based approaches to predicting biological control success: challenges and prospects
Year:
2023
Source of publication :
Trends in Ecology & Evolution
Authors :
Sadeh, Asaf
;
.
Volume :
Co-Authors:

Michal Segoli 
Paul K Abram
Jacintha Ellers
Ian C W Hardy
Gili Greenbaum
George E Heimpel
Tamar Keasar 
Paul J Ode 
Asaf Sadeh
Eric Wajnberg 

Facilitators :
From page:
0
To page:
0
(
Total pages:
1
)
Abstract:

Identifying traits that are associated with success of introduced natural enemies in establishing and controlling pest insects has occupied researchers and biological control practitioners for decades. Unfortunately, consistent general relationships have been difficult to detect, preventing a priori ranking of candidate biological control agents based on their traits. We summarise previous efforts and propose a series of potential explanations for the lack of clear patterns. We argue that the quality of current datasets is insufficient to detect complex trait-efficacy relationships and suggest several measures by which current limitations may be overcome. We conclude that efforts to address this elusive issue have not yet been exhausted and that further explorations are likely to be worthwhile.

Note:
Related Files :
crop plant
importation biological control
Insect pest
natural enemy
trade-offs
trait-based approach
Show More
Related Content
More details
DOI :
10.1016/j.tree.2023.04.008
Article number:
0
Affiliations:
Database:
PubMed
Publication Type:
article
;
.
Language:
English
Editors' remarks:
ID:
64376
Last updated date:
24/05/2023 17:23
Creation date:
24/05/2023 17:22
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Scientific Publication
Trait-based approaches to predicting biological control success: challenges and prospects

Michal Segoli 
Paul K Abram
Jacintha Ellers
Ian C W Hardy
Gili Greenbaum
George E Heimpel
Tamar Keasar 
Paul J Ode 
Asaf Sadeh
Eric Wajnberg 

Trait-based approaches to predicting biological control success: challenges and prospects

Identifying traits that are associated with success of introduced natural enemies in establishing and controlling pest insects has occupied researchers and biological control practitioners for decades. Unfortunately, consistent general relationships have been difficult to detect, preventing a priori ranking of candidate biological control agents based on their traits. We summarise previous efforts and propose a series of potential explanations for the lack of clear patterns. We argue that the quality of current datasets is insufficient to detect complex trait-efficacy relationships and suggest several measures by which current limitations may be overcome. We conclude that efforts to address this elusive issue have not yet been exhausted and that further explorations are likely to be worthwhile.

Scientific Publication
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