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8 results for “coffee agroecosystems”
Figure 3 in Mite fauna of a coffee agroecosystem (Coffea arabicaL.) in the municipality of Monte Alegre do Sul, São Paulo State, Brazil. Part I.
Figure 3 Temperature (°C) and precipitation (mm) inCoffea arabica cv. Mundo Novo plantation, in Monte Alegre do Sul municipality, São Paulo State, Brazil. Period from April 2004 to February 2008.
Figure 2 in Mite fauna of a coffee agroecosystem (Coffea arabicaL.) in the municipality of Monte Alegre do Sul, São Paulo State, Brazil. Part I.
Figure 2 Population fluctuation of Brevipalpus sp., Oligonychus yothersi, Euseius alatus, Amblyseius herbicolus, Iphiseiodes matatlanticaeandAgistemus brasiliensis in Coffea arabica cv. Mundo Novo plantation, in Monte Alegre do Sul municipality, São Paulo State, Brazil. Period from April 2004 to February 2008.
Figure 1 in Mite fauna of a coffee agroecosystem (Coffea arabicaL.) in the municipality of Monte Alegre do Sul, São Paulo State, Brazil. Part I.
Figure 1 Accumulation curves of species of mites collected on leaves and fruits of Coffea arabica cv. Mundo Novo in Monte Alegre do Sul, São Paulo State, Brazil.
Data from: Hybrid coffee cultivars may enhance agroecosystem resilience to climate change
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Data for: An aggressive non-consumptive effect mediates pest control and multi-predator interactions in a coffee agroecosystem
<p class="MsoNormal">Natural pest control is an alternative to pesticide use in agriculture, which may help to curb insect declines and promote crop production. Non-consumptive interactions in natural pest control, which historically have received far less attention than consumptive interactions, may have distinct impacts on pest damage suppression and may also mediate positive multi-predator interactions. Additionally, when non-consumptive effects are driven by natural enemy aggression, variation in alternative resources for enemies may impact the strength of pest control. Here we study control of the coffee berry borer (CBB), <em>Hypothenemus hampei</em>, by a keystone arboreal ant species, <em>Azteca sericeasur</em>, which exhibits a non-consumptive effect on CBB by throwing them off coffee plants. We conducted two experiments to investigate: 1) if the strength of this behavior is driven by spatial or temporal variability in scale insect density (an alternative resource which <em>Azteca</em> tends for honeydew), 2) if this behavior mediates positive interactions between <em>Azteca</em> and other ground-foraging ants, and 3) the effect this behavior has on the overall suppression of CBB damage in multi-predator scenarios. Our behavioral experiment showed that nearly all interactions between <em>Azteca</em> and CBB are non-consumptive and that this behavior occurs more frequently in the dry season and with higher densities of scale insects on coffee branches. Our multi-predator experiment revealed that borers thrown off coffee plants by <em>Azteca</em> can survive and potentially damage other nearby plants but may be suppressed by ground-foraging ants. Although we found no non-additive effects between <em>Azteca</em> and ground-foraging ants on overall CBB damage, together, both species resulted in the lowest level of plant damage with the subsequent reduction in "spillover" damage caused by thrown CBB, indicating spatial complementarity between predators. These results present a unique case of natural pest control, where damage suppression is driven almost exclusively by non-consumptive natural enemy aggression, as opposed to consumption or prey behavioral changes. Furthermore, our results demonstrate the variability that may occur in non-consumptive pest control interactions when natural enemy aggressive behavior is impacted by alternative resources, and also show how these non-consumptive effects can mediate positive interactions between natural enemies to enhance overall crop damage reduction.</p>
Data for: An aggressive non-consumptive effect mediates pest control and multi-predator interactions in a coffee agroecosystem
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Data from: Floral resource availability from groundcover promotes bee abundance in coffee agroecosystems
Patterns of bee abundance and diversity across different spatial scales have received thorough research consideration. However, the impact of short and long term temporal resource availability on biodiversity has been less explored. This is highly relevant in tropical agricultural systems for pollinators, as many foraging periods of pollinators extend beyond flowering of any single crop species. In this study, we sought to understand how bee communities in tropical agroecosystems changed between seasons, and if short and long term floral resource availability influenced their diversity and abundance. We used a threshold analysis approach in order to explore this relationship at two time scales. This study took place in a region dominated by coffee agroecosystems in Southern Mexico. This was an ideal system because the landscape offers a range of coffee management regimes that maintain heterogeneity in floral resource availability spatially and temporally. We found that the bee community varies significantly between seasons. There were higher abundances of native social, solitary and managed honeybees during the dry season when coffee flowers. Additionally, we found that floral resources from groundcover, but not trees, were associated with bee abundance. Further, the temporal scale of the availability of these resources is important, whereby short-term floral resource availability appears particularly important in maintaining high bee abundance at sites with lower seasonal complementarity. We argue that in additional to spatial resource heterogeneity, temporal resource heterogeneity is critical in explaining bee community patterns, and should thus be considered to promote pollinator conservation.
Data from: Floral resource availability from groundcover promotes bee abundance in coffee agroecosystems
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Allen Brain Atlas
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.