↓ Skip to main content

Connecting scales: Achieving in‐field pest control from areawide and landscape ecology studies

Overview of attention for article published in Insect Science, November 2014
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
63 Dimensions

Readers on

mendeley
168 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Connecting scales: Achieving in‐field pest control from areawide and landscape ecology studies
Published in
Insect Science, November 2014
DOI 10.1111/1744-7917.12161
Pubmed ID
Authors

Nancy A. Schellhorn, Hazel R. Parry, Sarina Macfadyen, Yongmo Wang, Myron P. Zalucki

Abstract

Areawide management has a long history of achieving solutions that target pests, however, there has been little focus on the areawide management of arthropod natural enemies. Landscape ecology studies that show a positive relationship between natural enemy abundance and habitat diversity demonstrate landscape-dependent pest suppression, but have not yet clearly linked their findings to pest management or to the suite of pests associated with crops that require control. Instead the focus has often been on model systems of single pest species and their natural enemies. We suggest that management actions to capture pest control from natural enemies may be forth coming if: (i) the suite of response and predictor variables focus on pest complexes and specific management actions; (ii) the contribution of "the landscape" is identified by assessing the timing and numbers of natural enemies immigrating and emigrating to and from the target crop, as well as pests; and (iii) pest control thresholds aligned with crop development stages are the benchmark to measure impact of natural enemies on pests, in turn allowing for comparison between study regions, and generalizations. To achieve pest control we will need to incorporate what has been learned from an ecological understanding of model pest and natural enemy systems and integrate areawide landscape management with in-field pest management.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 168 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 1%
Italy 1 <1%
India 1 <1%
Canada 1 <1%
Nigeria 1 <1%
Spain 1 <1%
United States 1 <1%
Poland 1 <1%
Unknown 159 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 21%
Researcher 35 21%
Student > Master 20 12%
Professor 13 8%
Student > Bachelor 13 8%
Other 22 13%
Unknown 30 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 96 57%
Environmental Science 19 11%
Biochemistry, Genetics and Molecular Biology 3 2%
Unspecified 3 2%
Mathematics 2 1%
Other 8 5%
Unknown 37 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 October 2015.
All research outputs
#14,636,797
of 24,549,201 outputs
Outputs from Insect Science
#301
of 918 outputs
Outputs of similar age
#129,020
of 263,342 outputs
Outputs of similar age from Insect Science
#7
of 15 outputs
Altmetric has tracked 24,549,201 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 918 research outputs from this source. They receive a mean Attention Score of 3.0. This one has gotten more attention than average, scoring higher than 64% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 263,342 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.