Increasing crop richness and reducing field sizes provide higher yields to pollinator-dependent crops

Autor: Ainhoa Magrach, Angel Giménez‐García, Alfonso Allen‐Perkins, Lucas A. Garibaldi, Ignasi Bartomeus
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: RID-UNRN (UNRN)
Universidad Nacional de Río Negro
instacron:UNRN
Popis: Agricultural landscapes cover >60% of terrestrial landscapes. While biodiversity conservation and crop productivity have been seen as mutually exclusive options for a long time, recent research suggests that agricultural landscapes represent significant opportunities for biodiversity conservation outside of traditional protected areas. Here, we use a unique dataset that includes annual monitoring of 12,300 permanent 25-ha plots over two decades across Spain to assess how agricultural landscapes are changing over time. We focus particularly on landscape composition and configuration variables such as the diversity of crops grown within a landscape, average plot size or the cover of natural habitats and assess how changes to these variables affect the ability of agricultural landscapes to ensure high yields. We find potential synergistic strategies that are good for biodiversity conservation and can also lead to increasing crop yields. Specifically, we find that management practices that favour increasing biodiversity values such as maintaining small field sizes and high crop richness values at the landscape scale actually led to the greatest average yield values across 54 crops, 41% of which depend on pollinator activity for reproduction. Policy implications: While our analysis does not factor in economic costs and benefits, we show that synergy scenarios that are good for biodiversity conservation and crop productivity are possible, yet not as widespread as they could be. © 2022 The Authors. Journal of Applied Ecology © 2022 British Ecological Society. We thank Sergio Mancheño Losa from the Spanish Ministerio de Agricultura, Pesca y Ali‐mentación for his support in providing the data used in this paper and to all the staff members that made ESYRCE database possible. A.M. received funding from an Ikerbasque, Basque Foundation for Science Research Fellowship. Research was also supported by the Spanish State Research Agency through Maria de Maeztu Excellence Unit accreditation (MDM‐2017‐0714) and the Basque Government BERC Programme. We appreciate funding from BiodivERsA joint call for research proposals (under the BiodivScen ERA‐Net COFUND programme and with the funding organizations AEI, NWO, ECCyT and NSF).
Databáze: OpenAIRE