“Expert Knowledge Based Modeling Approach For Mapping Beekeeping Suitability Area DOI

Guy Armel Kamga Fotso,

Yacine Bouroubi, Mickaël Germain

et al.

Published: Jan. 1, 2023

changes such as climate and land-use change that directly indirectly impact Apis Melliferas. Despite numerous investigations, a comprehensive study incorporates both global local knowledge has yet to be conducted. For long time, researchers have suggested information should taken into account when creating decision support tools for managing activities related natural resources, beekeeping. Unlike previous studies, this research seeks tackle these questions while also introducing the concept of ecosystem service in modelling, offering fresh perspective on sustainable land use. To achieve goal, we combined several methods, includingusing literature knowledge, beekeeper multi-source geospatial data. These data are employed hierarchical fuzzy inference system unified way. The proposed approach was applied Québec region technique appears reliable effective. validation step revealed landscape variable, particularly area used agriculture or grassland, impacted most hive weight throughout season. In addition, demonstrated meteorological factors rainfall relative humidity strongly correlated beekeeping.We showed access can critical factor decision-making beekeeping industry, thus suggest wild-bees conservationists, decision-makers, farmers, beekeepers, other stakeholders join collaborative approach.

Language: Английский

Seasonal variation in the general availability of floral resources for pollinators in northwest Europe: A review of the data DOI Creative Commons
Ciaran Harris, Nicholas J. Balfour,

Francis L.W. Ratnieks

et al.

Biological Conservation, Journal Year: 2024, Volume and Issue: 298, P. 110774 - 110774

Published: Aug. 27, 2024

Language: Английский

Citations

7
Expert knowledge-based modelling approach for mapping beekeeping suitability area DOI Creative Commons

Guy A. Fotso Kamga,

Yacine Bouroubi, Mickaël Germain

et al.

Ecological Informatics, Journal Year: 2024, Volume and Issue: 80, P. 102530 - 102530

Published: Feb. 23, 2024

It is becoming increasingly accepted that beekeeping declining due to the damaging effect of global changes such as climate and land-use change directly indirectly impact Apis Melliferas. Despite numerous investigations, a comprehensive study incorporates both local knowledge has yet be conducted. For long time, researchers have suggested expert should taken into account when creating decision support tools for managing activities related natural resources, beekeeping. Unlike previous studies, this research seeks tackle these questions while also introducing concept ecosystem service in modelling, offering fresh perspective on sustainable land use. To achieve goal, we combined several methods, including using literature knowledge, beekeeper multi-source geospatial data. These data are employed hierarchical fuzzy inference system unified way. The proposed approach was applied Québec region technique appears reliable effective. validation step revealed landscape variable, particularly area used agriculture or grassland, had greatest hive weight throughout season. In addition, demonstrated meteorological factors rainfall relative humidity strongly correlated We showed access can critical factor decision-making industry, thus suggest wild-bees conservationists, decision-makers, farmers, beekeepers, other stakeholders adopt collaborative approach.

Language: Английский

Citations

4
Swarming rate and timing of unmanaged honeybee colonies (Apis mellifera carnica) in a forest environment DOI Creative Commons
Benjamin Rutschmann, Patrick L. Kohl, Ingolf Steffan‐Dewenter

et al.

Insectes Sociaux, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 27, 2025

Language: Английский

Citations

0
Forecasting the Impact of Climate Change on Apis dorsata (Fabricius, 1793) Habitat and Distribution in Pakistan DOI Creative Commons
Tauheed Ullah Khan, Xiaofeng Luan, Ghulam Nabi

et al.

Insects, Journal Year: 2025, Volume and Issue: 16(3), P. 289 - 289

Published: March 11, 2025

Climate change has led to global biodiversity loss, severely impacting all species, including essential pollinators like bees, which are highly sensitive environmental changes. Like other bee A. dorsata is also not immune climate change. This study evaluated the habitat suitability of under in Pakistan by utilizing two years occurrence and distribution data develop a Maximum Entropy (MaxEnt) model for forecasting current future distribution. Future projections 2050 2070 were based on shared socioeconomic pathways (SSP245 SSP585) using CNRM-CM6-1 EPI-ESM1-2-HR-1 circulation models. Eight bioclimatic variables (Bio1, Bio4, Bio5, Bio8, Bio10, Bio12, Bio18, Bio19) selected modeling, among variables, mean temperature wettest quarter (Bio8) precipitation warmest (Bio18) showed major contributions building strongest influence dorsata. The estimated 23% our area as suitable climatic conditions, comprising 150,975 km2 moderately 49,792 regions. For scenarios, projected significant loss with shrinkage shift towards northern, higher-altitude regions, particularly Khyber Pakhtunkhwa Himalayan foothills. Habitat extreme scenario (SSP585) alarming, indicating substantial 40% 79% time period. emphasizes critical need conservation efforts protect highlights species’ role pollination supporting apiculture industry Pakistan.

Language: Английский

Citations

0
Unfavorable urban climatic conditions affects colony performance of an amazonian stingless bee (Apidae: Meliponini) DOI
D. C. R. Gatty, Jamille Costa Veiga, Daniel S. Pereira

et al.

Insectes Sociaux, Journal Year: 2025, Volume and Issue: unknown

Published: March 19, 2025

Language: Английский

Citations

0
Using optimized dimensionality reduction and machine learning to explain driving processes of phytoplankton community assembly in large mountain rivers DOI

Jingxu Ye,

Daikui Li,

Qi Liu

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 173, P. 113362 - 113362

Published: March 20, 2025

Language: Английский

Citations

0
Beekeeping suitability prediction based on an adaptive neuro-fuzzy inference system and apiary level data DOI Creative Commons

Guy A. Fotso Kamga,

Yacine Bouroubi, Mickaël Germain

et al.

Ecological Informatics, Journal Year: 2025, Volume and Issue: unknown, P. 103015 - 103015

Published: Jan. 1, 2025

Language: Английский

Citations

0
Suitability of the Amazonas region for beekeeping and its future distribution under climate change scenarios DOI Creative Commons

Darwin Gómez-Fernández,

Ligia García, Jhonsy O. Silva-López

et al.

Ecological Informatics, Journal Year: 2025, Volume and Issue: 87, P. 103082 - 103082

Published: Feb. 17, 2025

Language: Английский

Citations

0
EVALUATION OF PRODUCTIVE AND REPRODUCTIVE PERFORMANCE OF HONEYBEE COLONIES (Apis mellifera monticolla) IN SOUTH WOLLO, AMHARA, ETHIOPIA DOI Creative Commons

Wubalem Alebachew,

Berhan Tamir,

Tadesse Amare

et al.

Agrobiological Records, Journal Year: 2024, Volume and Issue: 16, P. 49 - 56

Published: Jan. 1, 2024

Despite the country's potential for apicultural resources, native races, productive and reproductive performances are at relatively low levels.Numerous factors, including environmental factors honeybee may be to blame this.As a result, this study was carried out assess local race performance choose best colonies in various agro ecologies of area.For purpose, 90 Apis mellifera monticolla (30 per ecology under on farm) were kept improved box hives assessed egg area, larvae pupae nectar honey as well yield swarming tendency.Egg sizes research area range from 519.25cm 2 1343.80cm , while have respective 574.07cm 1407.05cm 618.76 1471.83cm .Dessie zuriya district had highest pollen (15.28cm 343.17cm 386.13cm 22.13cm ), followed by Kalu (8.97cm 236.02cm 18.88cm Tehuledere (6.01cm 142.54cm 150.39cm 12.83cm correspondingly).The development queen cells behavior unaffected ecology.In general, compared other ecotypes races country, generally performed better terms both aspects.In study, located zone's highland than area's midland lowland.

Language: Английский

Citations

2
Swarming rate and timing of unmanaged honeybee colonies (Apis mellifera carnica) in a forest environment DOI
Benjamin Rutschmann, Patrick L. Kohl, Ingolf Steffan‐Dewenter

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 8, 2024

ABSTRACT Investigating the life history of social insect colonies and demography their populations are important for conservation, but data collection is challenging. There a growing interest in understanding population status wild-living honeybee across Europe, which it critical to collect on survival natality rates. Although rates can be investigated through regular inspections wild nests, accurate quantification (i.e., number swarms produced per colony year) remains significant challenge. Using digital weight scales, we remotely monitored natural swarming behavior ten unmanaged Apis mellifera carnica housed static-volume hives (45L) forest region southern Germany. During 2019 season, between mid-May late June, recorded 17 events, averaging 1.7 colony. Our observations offer reference point timing, frequency, size that helps us understand reproductive patterns honeybees temperate environment.

Language: Английский

Citations

1