Paper · 2021 · Journal of Applied Ecology

Positive forest cover effects on coffee yields are consistent across regions

Adrian González‐Chaves; Luísa G. Carvalheiro; Lucas A. Garibaldi; et al.

9
claims
10
verbatim quotes
33
citations
3
research areas
✓
Open access

Abstract

Abstract Enhancing biodiversity‐based ecosystem services can generate win–win opportunities for conservation and agricultural production. Pollination and pest control are two essential agricultural services provided by mobile organisms, many depending on native vegetation networks beyond the farm scale. Many studies have evaluated the effects of landscape changes on such services at small scales. However, several landscape management policies (e.g. selection of conservation sites) and associated funding allocation occur at much larger spatial scales (e.g. state or regional level). Therefore, it is essential to understand whether the links between landscape, ecosystem services and crop yields are robust across broad and heterogeneous regional conditions. Here, we used data from 610 Brazilian municipalities within the Atlantic Forest region (~50 Mha) and show that forest is a crucial factor affecting coffee yields, regardless of regional variations in soil, climate and management practices. We found forest cover surrounding coffee fields was better at predicting coffee yields than forest cover at the municipality level. Moreover, the positive effect of forest cover on coffee yields was stronger for Coffea canephora , the species with higher pollinator dependence, than for Coffea arabica . Overall, coffee yields were highest when they were near to forest fragments, mostly in landscapes with intermediate to high forest cover (>20%), above the biodiversity extinction threshold. Coffee cover was the most relevant management practice associated with coffee yield prediction. An increase in crop area was associated with a higher yield, but mostly in high forest covers municipalities. Other localized management practices like irrigation, pesticide use, organic manure and honeybee density had little importance in predicting coffee yields than landscape structure parameters. Neither the climatic or topographic variables were as relevant as forest cover at predicting coffee yields. Synthesis and application . Our work provides evidence that landscape relationships with ecosystem service provision are consistent across regions with different agricultural practices and environmental conditions. These results provide a way in which landscape management can articulate small landscape management with regional conservation goals. Policies directed towards increasing landscape interspersion of coffee fields with forest remnants favour spillover process, and can thus benefit the provision of biodiversity‐based ecosystem services, increasing agricultural productivity. Such interventions can generate win–win situations favouring biodiversity conservation and increased crop yields across large regions.

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Claims 9

Associationobservedoriginal resultpositivemeasured

Claim · model-written summary

Forest cover predicted coffee yields despite regional variation in soil, climate and management.

Taxon
coffeeCoffeae0
Outcome
coffee yieldse0
Qualifier
regardless of regional variations in soil, climate and management practicese0
Setting
regionale0

Not reportedDirection

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Coffea
Coffea · Taxon · picture of the genus (one of its species)Marcelo Corrêa · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“forest is a crucial factor affecting coffee yields, regardless of regional variations in soil, climate and management practices”

✓ located verbatim in the source · abstract, characters 875–1002 · show in text ↑
Associationobservedoriginal resultpositivemeasured

Claim · model-written summary

Forest cover around fields predicted coffee yields better than municipality forest cover.

Taxon
coffeeCoffeae0
Outcome
coffee yieldse0
Direction
bettere0
Comparator
forest cover at the municipality levele0

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Coffea
Coffea · Taxon · picture of the genus (one of its species)Marcelo Corrêa · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“forest cover surrounding coffee fields was better at predicting coffee yields than forest cover at the municipality level”

✓ located verbatim in the source · abstract, characters 1013–1134 · show in text ↑
Associationobservedoriginal resultpositivemeasured

Claim · model-written summary

The positive forest cover effect on yields was stronger for Coffea canephora than Coffea arabica.

Taxon
Coffea canephoraCoffea canephorae0
Outcome
coffee yieldse0
Direction
strongere0
Qualifier
higher pollinator dependencee0
Comparator
Coffea arabicae0

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Coffea canephora
Coffea canephora · TaxonKsd5 · CC0 · Wikimedia Commons ↗

Verbatim

e0

“the positive effect of forest cover on coffee yields was stronger for Coffea canephora , the species with higher pollinator dependence, than for Coffea arabica”

✓ located verbatim in the source · abstract, characters 1146–1305 · show in text ↑
Associationobservedoriginal resultpositivemeasured

Claim · model-written summary

Coffee yields were highest near forest fragments in landscapes with more than 20% forest cover.

Taxon
coffeeCoffeae0
Outcome
coffee yieldse0
Direction
higheste0
Value
>20%e0
Setting
near to forest fragmentse0

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Coffea
Coffea · Taxon · picture of the genus (one of its species)Marcelo Corrêa · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“coffee yields were highest when they were near to forest fragments, mostly in landscapes with intermediate to high forest cover (>20%)”

✓ located verbatim in the source · abstract, characters 1317–1451 · show in text ↑
Associationobservedoriginal resultpositivemeasured

Claim · model-written summary

Coffee cover was the most relevant management practice for yield prediction.

Taxon
CoffeeCoffeae0
Treatment
Coffee covere0
Outcome
coffee yield predictione0
Direction
most relevante0

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Coffea
Coffea · Taxon · picture of the genus (one of its species)Marcelo Corrêa · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“Coffee cover was the most relevant management practice associated with coffee yield prediction”

✓ located verbatim in the source · abstract, characters 1498–1592 · show in text ↑
Associationobservedoriginal resultpositivemeasured

Claim · model-written summary

Increasing crop area was associated with higher yield, mainly in municipalities with high forest cover.

Taxon
coffeeCoffeat0
Treatment
increase in crop areae0
Outcome
yielde0
Direction
highere0
Qualifier
mostly in high forest covers municipalitiese0

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Coffea
Coffea · Taxon · picture of the genus (one of its species)Marcelo Corrêa · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“An increase in crop area was associated with a higher yield, but mostly in high forest covers municipalities”

✓ located verbatim in the source · abstract, characters 1594–1702 · show in text ↑
t0

“coffee yields”

✓ located verbatim in the source · title, characters 33–46 · show in text ↑
Associationobservedoriginal resultmeasured

Claim · model-written summary

Irrigation, pesticide use, organic manure and honeybee density had little importance for yield prediction compared with landscape structure.

Taxon
coffeeCoffeae0
Outcome
coffee yieldse0
Direction
little importancee0
Comparator
landscape structure parameterse0

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Coffea
Coffea · Taxon · picture of the genus (one of its species)Marcelo Corrêa · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“irrigation, pesticide use, organic manure and honeybee density had little importance in predicting coffee yields than landscape structure parameters”

✓ located verbatim in the source · abstract, characters 1746–1894 · show in text ↑
Associationobservedoriginal resultmeasured

Claim · model-written summary

Climate and topography were less relevant than forest cover for predicting coffee yields.

Taxon
coffeeCoffeae0
Outcome
coffee yieldse0
Direction
Neithere0
Comparator
forest covere0

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Coffea
Coffea · Taxon · picture of the genus (one of its species)Marcelo Corrêa · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“Neither the climatic or topographic variables were as relevant as forest cover at predicting coffee yields”

✓ located verbatim in the source · abstract, characters 1896–2002 · show in text ↑
Recommendationauthor interpretationoriginal resultbasis n/a

Claim · model-written summary

The authors recommend interspersing coffee fields with forest remnants to support ecosystem services and productivity.

Taxon
coffeeCoffeae0
Outcome
increasing landscape interspersion of coffee fields with forest remnantse0

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Coffea
Coffea · Taxon · picture of the genus (one of its species)Marcelo Corrêa · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“Policies directed towards increasing landscape interspersion of coffee fields with forest remnants favour spillover process, and can thus benefit the provision of biodiversity‐based ecosystem services, increasing agricultural productivity”

✓ located verbatim in the source · abstract, characters 2353–2591 · show in text ↑