The value of biotic pollination and dense forest for fruit set of Arabica coffee: A global assessment

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  • Céline Moreaux
  • Desirée A.L. Meireles
  • Sonne, Jesper
  • Ernesto I. Badano
  • Alice Classen
  • Adrian González-Chaves
  • Juliana Hipólito
  • Alexandra Maria Klein
  • Pietro K. Maruyama
  • Jean Paul Metzger
  • Stacy M. Philpott
  • Rahbek, Carsten
  • Fernanda T. Saturni
  • Tuanjit Sritongchuay
  • Teja Tscharntke
  • Shinsuke Uno
  • Carlos H. Vergara
  • Blandina F. Viana
  • Strange, Niels
  • Dalsgaard, Bo

Animal pollinators are globally threatened by anthropogenic land use change and agricultural intensification. The yield of many food crops is therefore negatively impacted because they benefit from biotic pollination. This is especially the case in the tropics. For instance, fruit set of Coffea arabica has been shown to increase by 10–30% in plantations with a high richness of bee species, possibly influenced by the availability of surrounding forest habitat. Here, we performed a global literature review to (1) assess how much animal pollination enhances coffee fruit set, and to (2) examine the importance of the amount of forest cover, distance to nearby forest and forest canopy density for bee species richness and coffee fruit set. Using a systematic literature review, we identified eleven case studies with a total of 182 samples where fruit set of C. arabica was assessed. We subsequently gathered forest data for all study sites from satellite imagery. We modelled the effects of open (all forest with a canopy density of ≥25%), closed (≥50%) and dense (≥75%) forests on pollinator richness and fruit set of coffee. Overall, we found that animal pollination increases coffee fruit set by ~18% on average. In only one of the case studies, regression results indicate a positive effect of dense forest on coffee fruit set, which increased with higher forest cover and shorter distance to the forest. Against expectations, forest cover and distance to open forest were not related to bee species richness and fruit set. In summary, we provide strong empirical support for the notion that animal pollinators increase coffee fruit set. Forest proximity had little overall influence on bee richness and coffee fruit set, except when farms were surrounded by dense tropical forests, potentially because these may provide high-quality habitats for bees pollinating coffee. We, therefore, advocate that more research is done to understand the biodiversity value of dense forest for pollinators, notably assessing the mechanisms underlying the importance of forest for pollinators and their pollination services.

OriginalsprogEngelsk
Artikelnummer107680
TidsskriftAgriculture, Ecosystems and Environment
Vol/bind323
Antal sider12
ISSN0167-8809
DOI
StatusUdgivet - 2022

Bibliografisk note

Funding Information:
The data collection in Jamaica would not have been possible without the dedication and immense hospitality of Dorienne Rowan-Campbell and her family, the support of the Jamaican Coffee Growers Association and OUBU Coffee. We particularly thank the farmers, who provided us access to their land in the Blue Mountains. We thank Dorthe Veddeler from the Georg-August-University of Goettingen for providing the Ecuadorian data set and Liliana Bravo-Monroy for providing the Colombian data set. We are grateful for suggestions to the project methodology by Jeff Ollerton at the SCAPE conference 2019. Finally, we want to thank Helle Sørensen from the University of Copenhagen for the assistance in statistical questions. Céline Moreaux, Carsten Rahbek and Bo Dalsgaard thank the Danish National Research Foundation for its support of the Center for Macroecology, Evolution and Climate (grant no. DNRF96 ). Jesper Sonne was supported by research grant no. 25925 from VILLUM FONDEN . The study by Juliana Hipólito et al. (2018) in Brazil was supported by the Brazilian National Council for Scientific and Technological Development (CNPq) and by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) - Finance Code 001. Adrian González-Chaves’ field work was supported by FAPESP grant 2013/23457–6 and a FAPESP PhD scholarship FAPESP 2017/19411–1 . The study of Alice Classen was financially supported by the German Research Foundation (DFG) within the Research Unit FOR1246 Kilimanjaro ecosystems under global changes: linking biodiversity, biotic interactions and biogeochemical ecosystem processes

Funding Information:
The data collection in Jamaica would not have been possible without the dedication and immense hospitality of Dorienne Rowan-Campbell and her family, the support of the Jamaican Coffee Growers Association and OUBU Coffee. We particularly thank the farmers, who provided us access to their land in the Blue Mountains. We thank Dorthe Veddeler from the Georg-August-University of Goettingen for providing the Ecuadorian data set and Liliana Bravo-Monroy for providing the Colombian data set. We are grateful for suggestions to the project methodology by Jeff Ollerton at the SCAPE conference 2019. Finally, we want to thank Helle S?rensen from the University of Copenhagen for the assistance in statistical questions. C?line Moreaux, Carsten Rahbek and Bo Dalsgaard thank the Danish National Research Foundation for its support of the Center for Macroecology, Evolution and Climate (grant no. DNRF96). Jesper Sonne was supported by research grant no. 25925 from VILLUM FONDEN. The study by Juliana Hip?lito et al. (2018) in Brazil was supported by the Brazilian National Council for Scientific and Technological Development (CNPq) and by the Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior ? Brasil (CAPES) - Finance Code 001. Adrian Gonz?lez-Chaves? field work was supported by FAPESP grant 2013/23457?6 and a FAPESP PhD scholarship FAPESP 2017/19411?1. The study of Alice Classen was financially supported by the German Research Foundation (DFG) within the Research Unit FOR1246 Kilimanjaro ecosystems under global changes: linking biodiversity, biotic interactions and biogeochemical ecosystem processes

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