Abstract
Agricultural intensification has contributed to the loss of biodiversity and of the ecosystem services that it supports, such as natural pest control. Decision support tools are needed to understand and predict where natural pest control can be enhanced and pesticide applications decreased. While many studies have assessed the impact of field and landscape-scale management in a range of crops, few attempts have been made to synthesize this knowledge in a single model. In this study, we developed an expert-based moving window model of natural pest control potential. This model builds on the knowledge of 52 experts across Europe regarding the importance of herbaceous areas, forest interiors, and edges, and field scale agricultural management practices (i.e. farming system, field size and crop diversity) for the abundance of generalist predators (e.g. carabids, spiders), specialist predators (e.g. coccinelids) and parasitoid natural enemies. We assessed the model's performance by comparing its predictions to field data on natural enemy abundance from 117 sites in Sweden. The natural pest control potential scores predicted by the model explained 11% of the variation in carabid field abundances. However, the model's performance was less satisfactory for spiders and parasitoids. We provide guidance for improving this indicator, particularly by incorporating more ecological processes, such as accounting for the functional diversity of spiders and the density-dependent effects of parasitoid-host interactions. In addition, the model could be further refined by accounting for non-linear relations and potential threshold effects and interactions among field and landscape-scale management practices. In its current state, the developed indicator can be used to identify areas where further ecological intensification practices can be promoted to enhance natural pest control potential, especially for carabids.
| Original language | English |
|---|---|
| Article number | 111684 |
| Pages (from-to) | 1-10 |
| Number of pages | 10 |
| Journal | Ecological Indicators |
| Volume | 159 |
| Early online date | 7 Feb 2024 |
| DOIs | |
| Publication status | Published - Feb 2024 |
Bibliographical note
Publisher Copyright:© 2024 The Author(s)
Funding
We thank experts that responded to the survey for sharing their knowledge of natural pest control and Charlotte Peitz and Linda-Maria Dimitrova Mårtensson, who participated to the data collection for the expert’s survey. Laura Riggi was supported by the 2020-02281 FORMAS Mobility grants for early-career researchers. Pierre Chopin was partially funded by the SLU Platform Crop Production Systems through the ESSLA (Ecosystem Services in Sweden – At the Landscape Level) project. This publication contributes to the Global Land Programme (GLP) science plan. In memory of my colleague and friend Jorge Sierra.
| Funders | Funder number |
|---|---|
| ESSLA | |
| SLU Platform Crop Production Systems |
Keywords
- Biological pest control
- Ecosystem service mapping
- Ecosystem services
- Expert-based modelling
- Landscape management
- Natural enemies