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Mapping the pressure of natural predators on pest arthropods
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Natural predators of arthropods provide an important ecosystem service
by preying on crop-damaging species. However, measuring the positive
impact of natural pest predators is still challenging. We present a
framework to estimate the pest-consumption pressure by natural predators
across space and project it onto geographical maps. We use DNA
metabarcoding and species distribution modelling to integrate predator
density estimations with their energetic requirements and direct pest
predation, which yields a comprehensive measure of pest-consumption
pressure per time-frame and area. We showcase it on a European bat
assemblage, and show that bats consume a variety of pests whose
predation pressure varies throughout space. We also report that the
impact of different predators depends on spatial scale, and that pest
predation pressure is negatively correlated with agricultural intensity.
Our framework can be used to estimate broad-scale effects of natural
predators on pest arthropods as well as to design research and
management strategies.
Title: Mapping the pressure of natural predators on pest arthropods
Description:
Natural predators of arthropods provide an important ecosystem service
by preying on crop-damaging species.
However, measuring the positive
impact of natural pest predators is still challenging.
We present a
framework to estimate the pest-consumption pressure by natural predators
across space and project it onto geographical maps.
We use DNA
metabarcoding and species distribution modelling to integrate predator
density estimations with their energetic requirements and direct pest
predation, which yields a comprehensive measure of pest-consumption
pressure per time-frame and area.
We showcase it on a European bat
assemblage, and show that bats consume a variety of pests whose
predation pressure varies throughout space.
We also report that the
impact of different predators depends on spatial scale, and that pest
predation pressure is negatively correlated with agricultural intensity.
Our framework can be used to estimate broad-scale effects of natural
predators on pest arthropods as well as to design research and
management strategies.
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