Claim · model-written summary
Irrigation, pesticide use, organic manure and honeybee density had little importance for yield prediction compared with landscape structure.
CoffeaNot reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentSettingValueQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“irrigation, pesticide use, organic manure and honeybee density had little importance in predicting coffee yields than landscape structure parameters”
Title
Positive forest cover effects on coffee yields are consistent across regions
Adrian González‐Chaves; Luísa G. Carvalheiro; Lucas A. Garibaldi; et al. Journal of Applied Ecology 2021. doi:10.1111/1365-2664.14057
Other claims from this paper (8)
- Association Forest cover predicted coffee yields despite regional variation in soil, climate and management.
- Association Forest cover around fields predicted coffee yields better than municipality forest cover.
- Association The positive forest cover effect on yields was stronger for Coffea canephora than Coffea arabica.
- Association Coffee yields were highest near forest fragments in landscapes with more than 20% forest cover.
- Association Coffee cover was the most relevant management practice for yield prediction.
- Association Increasing crop area was associated with higher yield, mainly in municipalities with high forest cover.
- Association Climate and topography were less relevant than forest cover for predicting coffee yields.
- Recommendation The authors recommend interspersing coffee fields with forest remnants to support ecosystem services and productivity.