The effect of landscape composition on stingless bee (
            <i>Melipona fasciculata</i>
            ) honey productivity in a wetland ecosystem of Eastern Amazon, Brazil

Farfan, Silver Jonas Alves; Celentano, Danielle; Silva, Celso; Silveira, Marcus Vinicius de Freitas; Serra, Raymony Tayllon Alves; Gutiérrez, Jhonatan Andrés Muñoz; Barros, Harryson Corrêa; Ribeiro, Monique Hellen Martins; Barth, Ortrud Monika; Alves, Rogério Marcos de Oliveira; Hernández-García, Luis Manuel; Rousseau, Guillaume Xavier

doi:10.1080/00218839.2022.2137307

Cited by 4 publications

(1 citation statement)

References 60 publications

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“…Several stingless bee species are traditionally managed by human populations around the world having not only economic but cultural importance (Cortopassi-Laurino et al, 2006;Quezada-Euań et al, 2018;Hill et al, 2019). Melipona fasciculata is a prominent stingless bee species inhabiting natural areas within Amazon biome (northern Brazil), managed for honey production by people living therein (Jafféet al, 2015;Venturieri et al, 2015;Farfan et al, 2022), playing a key role as pollinator of native plants in the forest and in cultivated plants requiring buzz-pollination (Maueś and Couturier, 2002;Nunes-Silva et al, 2013;Giannini et al, 2015;Gostinski et al, 2018). Their foraging flight and homing capability has been estimated to cover large distances as 10 km (Nunes-Silva et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

A methodological approach to identify priority zones for monitoring and assessment of wild bee species under climate change

Acosta,

dos Santos,

Imperatriz-Fonseca

et al. 2024

Front. Bee Sci.

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Climate change is affecting wild populations worldwide, and assessing the impacts on these populations is essential for effective conservation planning. The integration of advanced analytical techniques holds promise in furnishing detailed, spatially explicit information on climate change impacts on wild populations, providing fine-grained metrics on current environmental quality levels and trends of changes induced by estimated climate change scenarios. Here, we propose a framework that integrates three advanced approaches aiming to designate the most representative zones for long-term monitoring, considering different scenarios of climate change: Species Distribution Modeling (SDM), Geospatial Principal Component Analysis (GPCA) and Generalized Procrustes Analysis (GPA). We tested our framework with a climatically sensible Neotropical stingless bee species as study case, Melipona (Melikerria) fasciculata Smith, 1854. We used the SDM to determine the climatically persistent suitable areas for species, i.e. areas where the climate is suitable for species today and in all future scenarios considered. By using a GPCA as a zoning approach, we sliced the persistent suitable area into belts based on the variability of extremes and averages of meaningful climate variables. Subsequently, we measured, analyzed, and described the climatic variability and trends (toward future changes) in each belt by applying GPA approach. Our results showed that the framework adds significant analytical advantages for priority area selection for population monitoring. Most importantly, it allows a robust discrimination of areas where climate change will exert greater-to-lower impacts on the species. We showed that our results provide superior geospatial design, qualification, and quantification of climate change effects than currently used SDM-only approaches. These improvements increase assertiveness and precision in determining priority areas, reflecting in better decision-making for conservation and restoration.

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Section: Introductionmentioning

confidence: 99%

A methodological approach to identify priority zones for monitoring and assessment of wild bee species under climate change

Acosta,

dos Santos,

Imperatriz-Fonseca

et al. 2024

Front. Bee Sci.

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Landscape composition influences colony growth in the tropical asian stingless bees (Tetragonula fuscobalteata)

Wayo,

Leonhardt,

Chuttong

et al. 2023

J Insect Conserv

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Pollination is an important ecosystem service for both crop and wild plants. In recent decades, many pollinators have been experiencing population declines due to land-use changes and intensi ed agriculture. However, effects of anthropogenic landscapes on bee pollinators in the tropics are still little investigated. ObjectivesWe analyzed the effects of landscape composition on the colony weight as well as foraging activity and patterns of the tropical Asian stingless bee species Tetragonala fuscobalteata which is a vital generalist pollinator in Southeast Asia. MethodsTwenty-eight colonies were established and monitored over a year in 19 mixed fruit orchards located along a gradient of human land-use intensity. ResultsOur results revealed that the colonies gained weight and increased their foraging activity over time across diverse landscapes including forest, agricultural, and urbanized areas, indicating that this bee species can well adapt to anthropogenic landscapes. Interestingly, T. fuscobalteata colonies also gained weight rapidly in orchards located in predominately agricultural landscapes with e.g. high proportions of rubber and oil palm plantations as well as in fruit orchards (such as rambutan, durian, coconut, banana). This positive effect was possibly due to mass owering crops providing abundant resources, i.e., pollen and nectar, for a limited time. We also show that T. fuscobalteata foragers could rely on urbanized land (probably ornamental plants and some crops in home gardens and backyards) and wild plants in surrounding forest patches during non-owering periods of crops. ConclusionsOur ndings thus indicate that the combined oral resource availability provided by heterogeneous anthropogenic landscapes, including agricultural elds, urbanized areas and forests, can sustain generalist pollinators.

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Melissopalynology in Brazilian seacoast mangrove areas, a mini review

Barth,

Lima,

da Luz

2024

Grana

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The effect of landscape composition on stingless bee ( Melipona fasciculata ) honey productivity in a wetland ecosystem of Eastern Amazon, Brazil

Cited by 4 publications

References 60 publications

A methodological approach to identify priority zones for monitoring and assessment of wild bee species under climate change

A methodological approach to identify priority zones for monitoring and assessment of wild bee species under climate change

Landscape composition influences colony growth in the tropical asian stingless bees (Tetragonula fuscobalteata)

Melissopalynology in Brazilian seacoast mangrove areas, a mini review

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