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11 results for “Coffee agroforestry”
Data for Publication - Farmer Preferences and Selection Criteria for Shade Trees in Robusta Coffee Agroforestry Systems in Tshopo Province, DRC
<p>Data used for publication - "Farmer Preferences and Selection Criteria for Shade Trees in Robusta Coffee Agroforestry Systems in Tshopo Province, DRC"</p>
Figure 3 in The Chrysidoidea Wasps (Hymenoptera, Aculeata) in Conventional Coffee Crops and Agroforestry Systems in Southeastern Brazil
Figure 3. Venn diagram showing exclusive and shared genera of Chrysidoidea among conventional, agroforestry and transitional systems in the "Pontal do Paranapanema" region, São Paulo, Brazil. Bethylidae in blue, Chrysididae in red and Dryinidae in green color.
Figure 2 in The Chrysidoidea Wasps (Hymenoptera, Aculeata) in Conventional Coffee Crops and Agroforestry Systems in Southeastern Brazil
Figure 2. Malaise trap (Townes model) installed in the conventional system (S.J.F. – Conv.), in the "Pontal do Paranapanema" region, São Paulo, Brazil.
Figure 1 in The Chrysidoidea Wasps (Hymenoptera, Aculeata) in Conventional Coffee Crops and Agroforestry Systems in Southeastern Brazil
Figure 1. Map showing the collection sites of Chrysidoidea wasps in the conventional, agroforestry and transitional systems in the "Pontal do Paranapanema" area, state of São Paulo, Brazil. The different colored squares represent: S.A. - Conv. (red); S.J.F. - Conv. (green); S.F.- SAF (yellow), S.J.M. - SAF (blue); S.S. - SAF (white); S.M.-Trans. (light blue).
Data from: Agroforestry coffee soils increase the insect-suppressive potential offered by entomopathogenic fungi over full-sun soils: a case proposing a "bait-survival technique"
Entomopathogenic fungi are important natural enemies of insects. However, there is little information on the insect-suppressive potential of these fungi and possible effects of farming management on this. Meanwhile, changes in natural landscapes due to agricultural intensification have caused considerable biodiversity loss and consequent decay of ecosystem services. However, the adoption of practices such as agroforestry in agroecosystems can foster abiotic and biotic conditions that conserve biodiversity, consequently restoring the provision of ecosystems services. Here, we assessed the effect of management systems (agroforestry or full-sun) on the pest-suppressive potential of entomopathogenic fungi in Brazilian coffee plantations. We used the insect-bait method coupled with survival analyses to assess the speed of kill by entomopathogenic fungi and their presence in soil samples from both farming systems. We found that insects exposed to agroforestry soils died more quickly than insects exposed to full-sun soils. Of the fungi isolated from the insect-baits, Metarhizium was found most frequently, followed by Beauveria. Meanwhile, Fusarium was frequently isolated as primary or secondary infections. We propose that the differential survival of insects is indicative of a greater suppressive potential by entomopathogenic fungi in agroforestry, and that this could be promoted by the diversified landscape, microclimatic stability and reduced soil disturbance in agroforestry systems. Furthermore, our results provide a useful demonstration of the potential use of the insect bait method to investigate pest suppressive potential through insect-bait mortality, and we term this the "bait survival technique".
Data from: Responses of aerial insectivorous bats to local and landscape-level features of coffee agroforestry systems in Western Ghats, India
Shade coffee has shown great promise in providing crucial habitats for biodiversity outside formal protected areas. Insectivorous bats have been understudied in coffee, although they may provide pest control services. We investigated the influence of local and landscape-level features of coffee farms on aerial insectivorous bats in Chikmagalur district in the Western Ghats biodiversity hotspot, India. Bats were monitored in 20 farm sites using ultrasound detectors, and the response of bat species richness and activity to changes in tree density, proportion of built-up area in the neighborhood, and distance of farm from forest areas quantified. We examined if models built to explain the species richness and activity could also predict them in nine additional sites. We detected nine phonic types/species in the study area. The quantified predictors had no effect on assemblage-level species richness and activity of bats. Responses of edge-space and cluttered-space forager guilds mirrored those of the overall assemblage, but some species vulnerable to forest conversion like *Rhinolophus beddomei* were detected rarely. Best models explained up to 20% and 15% variation in assemblage-level species richness and activity respectively, and were poor predictors of both response variables. We conclude that coffee farms in our study area offer an important commuting space for insectivorous bats across a gradient of shade management. Further research should include species-specific responses to management decisions for at-risk species and quantification of ecosystem services like natural pest control to inform biodiversity conservation initiatives in the Western Ghats coffee landscapes.
Data from: Simplification of shade tree diversity reduces nutrient cycling resilience in coffee agroforestry
1. Agroforestry systems are refuges for biodiversity and provide multiple ecosystem functions and services. Diverse multispecies shade tree canopies are increasingly replaced by monospecific shade, often dominated by non-native tree species. The loss of tree diversity and the nature of the dominating tree can have strong implications for ecosystem functions, e.g. nutrient cycling ultimately reducing crop production. 2. To understand direct and indirect impacts of shade trees on nutrient cycling and crop production, we studied coffee agroforestry systems in India along a gradient from native multispecies canopies to Grevillea robusta (Proteaceae) -dominated canopy cover. We identified 25 agroforests, across a broad rainfall and management gradient and assessed litter quantity and quality, decomposition, nutrient release, soil fertility and coffee nutrient limitations. 3. Increasing G. robusta dominance affected nutrient cycling predominantly by; (1) changing of litter phenology, (2) reducing phosphorus (P), potassium (K), magnesium (Mg), boron (B), and zinc (Zn) inputs via litterfall, decelerated litter decomposition and immobilization of P and Zn due to low quality litter, (3) reducing soil carbon (C) and micronutrients (especially sulphur (S), Mg and B). Coffee plants were deficient in several nutrients (nitrogen (N), calcium (Ca), manganese (Mn), Mg and S in organic and B in conventional management). (4) Overall G. robusta dominated agroforests were characterized by a reduction of P cycling due to low inputs, strong immobilization while decomposition and antagonistic effects on its release in litter mixtures with coffee. 4. Synthesis and applications. The conversion of shade cover in coffee agroforestry systems from diverse tree canopies to canopies dominated by Grevillea robusta (Proteaceae) reduces the inputs and cycling of several micro- and macronutrients. Soil fertility is therefore expected to decline in G. robusta dominated systems, with likely impacts on coffee production. These negative effects might increase under the longer dry periods projected by regional climate change scenarios due to the pronounced litter phenology of G. robusta. Maintaining diverse shade canopies can more effectively sustain micro- and macronutrients in a more seasonal climate.
Data set of studies and indicators on the impacts of crop diversification through coffee agroforestry.
<p>The dataset contains information about 215 papers that were included in the review study. </p>
Data from: Simplification of shade tree diversity reduces nutrient cycling resilience in coffee agroforestry
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Data from: Agroforestry coffee soils increase the insect-suppressive potential offered by entomopathogenic fungi over full-sun soils: a case proposing a "bait-survival technique"
Open the record for dataset details and reuse information.
Data from: Responses of aerial insectivorous bats to local and landscape-level features of coffee agroforestry systems in Western Ghats, India
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