Prévision des potentialités de production de miel à l’échelle d’un rucher au moyen d’un système d’information géographique

Janssens, Xavier; Bruneau, Étienne; Lebrun, Philippe

doi:10.1051/apido:2006006

Cited by 18 publications

(17 citation statements)

References 30 publications

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“…The first two may influence honeybee behavior as already outlined in our Introduction whereas the third might play a minor role in Puerto Rico's current setting for reasons already mentioned. Land use on the other hand, may integrate characteristics of the food resource base utilized by honeybees, including its quality, quantity, and spatial distribution [6,14]. It would be worth exploring more mechanistic models that could directly assess the impact of raising temperature and atmospheric CO 2 levels on the physiology of honeybees and their food sources.…”

Section: Future Workmentioning

confidence: 99%

“…This is because pollination directly impacts the functioning of ecosystems and ultimately local and regional economies. Surprisingly, little attention has been paid to potential changes in the delivery of provisioning services such as honey and beeswax production [5,6]. Understanding these changes is important because beekeeping is promoted as a tool for rural development and conservation in developing nations in the tropics or regions therein (e.g., [7,8]; http://www.beesfordevelopment.org/).…”

Section: Introductionmentioning

confidence: 99%

“…Climate directly influences honeybee behavior given the strong dependency of bee foraging activity and flight on temperature, solar radiation, and wind at a variety of time scales [16,17]. Climate can indirectly influence honeybees through its effects on their resource base, including flowering plants, pathogens, and predators [6,18,19]. Temperature and to a lesser degree precipitation seem to exert a primary control on honeybee activity, yet the extent to which climate change will impact honey yields is poorly understood.…”

Section: Introductionmentioning

confidence: 99%

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Forecasting the Influence of Climate Change on Agroecosystem Services: Potential Impacts on Honey Yields in a Small-Island Developing State

Delgado

Pérez

Galindo‐Cardona

et al. 2012

Psyche: A Journal of Entomology

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Global change poses numerous challenges to developing nations and small-island developing states (SIDSs). Among these are the effects of climate change on honeybees' provisioning services including honey production. Here we ask two questions. First, what is the relationship between honey yield and climate in a tropical environment? Second, how does yield vary spatially under current climate and future scenarios of climate change? Focusing on the island of Puerto Rico, we developed an ensemble of bioclimatic models that were used in a geographical information system to identify suitable areas for honey production under current and future scenarios of climate change. A comparison between contemporary (1998-2005) and historical honey yield data revealed a reduction in average yield, including variability, over time, with current yields averaging 5.3 L/colony. Three bioclimatic variables were retained by at least three models: temperature seasonality and mean temperature of the wettest quarter were negatively correlated with honey yields whereas precipitation of the wettest month was positively correlated. The four models varied in terms of their predictions but showed that both honey yields and areas suitable for honey production will decrease under scenarios of climate change. These results illustrate the possible impacts of climate change on honey and ultimately honeybees.

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Section: Future Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Forecasting the Influence of Climate Change on Agroecosystem Services: Potential Impacts on Honey Yields in a Small-Island Developing State

Delgado

Pérez

Galindo‐Cardona

et al. 2012

Psyche: A Journal of Entomology

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“…L'attractivité d'un site mellifère dépend directement du gain énergétique qu'une butineuse peut en tirer par rapport aux dépenses d'énergie qu'elle devra faire lors de la manipulation des fleurs, de ses vols de fleurs en fleurs et de son retour, chargée, à la ruche (Moritz & Southwick, 1992 ;Waddington et al, 1994). Les potentialités de production de miel d'une région donnée ou d'une zone de butinage sont déterminées par son paysage (Janssens et al, 2006). Au Bénin, l'accumulation du miel dans les ruches coïncide avec la floraison de 9 espèces végétales en zone de transition soudano-guinéenne.…”

Section: Introductionunclassified

Caractéristiques Structurales Des Peuplements Ligneux À Syzygium Guineense (Willd.) DC. Subsp. Macrocarpum (Myrtaceae) En Vue De Leur Aménagement À Des Fins Apicoles Au Bénin

Romaël

Yédomonhan

2017

ESJ

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The potential of honey production by honeybee in one area are determined by the flora. This study aims to evaluate the structural characteristics of Syzygium guineense subsp. macrocarpum so as to propose its promotion for beekeeping in Benin. Some structural variables were collected through 18 plots of one hectare (100 m x 100 m). It was installed at random in three classified forests in sudano-guinean zone. Each plot was divided into 16 plots of 625 m² (25m x 25m). For all species of tree and shrub, the stems of dbh ≥ 10 cm have the highest values of density (549 stems/ha) and landed surface (14.06 m 2 /ha) in dry dense forest. However, their middle height (17.53 m) and their middle diameter (22.96 cm) are more raised in wood land savanna. In regards to exclusive stems of S. guineense subsp. macrocarpum, their high values of density (6 stems/ha), landed surface (0.30 m 2 /ha), and middle diameter (17.84 cm) were recorded in the dry dense forest. The relative contribution of S. guineense subsp. macrocarpum to woody population density varied between 0.45 and 1.04% for wood or shrub of dbh ≥ 10 cm. It also varies between 0.16 and 0.28% for wood or shrub of dbh< 10 cm. The abundance index ranged from 0.09 to 0.77 and from 0.21 to 0.39 respectively for individual of dbh ≥ 10 cm dbh and < 10 cm. The weak values of seedling density require an assessment of its fructiferous production.

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“…L'intérêt mellifère des régions a été étudié sur la base de relevés floristiques, de classe d'abondance et de valeur de floraison par leur mode de répartition (Balayer, 1990;Briane, 1993). Janssens et al (2006) ont même proposé un modèle mathématique d'estimation de l'intérêt mellifère de l'environnement d'un rucher sur la base d'une notion d'attractivité comparée entre secteurs de butinage et de variables telles que le potentiel mellifère et les périodes de floraison des espèces végétales présentes.…”

Section: Introductionunclassified

Diversité spatiotemporelle des ressources florales autour d’un rucher en zone de végétation de transition soudano-guinéenne au Bénin

Yédomonhan

Adomou

Akoègninou

et al. 2012

Acta Botanica Gallica

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La diversité spatiotemporelle des plantes en fleurs a été évaluée autour d'un rucher installé à Manigri (Bénin) à l'aide de relevés phénologiques mensuels de janvier à décembre 2007. Les 266 espèces de plantes en fleurs observées se composent de 196 herbacées et 70 ligneuses. Elles se répartissent en 189 genres et 70 familles. Les valeurs moyennes par relevé des paramètres de diversité floristique varient significativement d'une formation à une autre. La savane arborée représente la formation la plus diversifiée avec 148 espèces et 111 genres. Les thérophytes sont prédominantes (24-36%) dans les différentes formations végétales, à l'exception de la savane arbustive. La richesse spécifique des plantes en fleurs varie de 26 espèces en avril à 76 espèces en septembre. L'évolution de la richesse spécifique des plantes ligneuses et celle des plantes herbacées ont une corrélation linéaire négative et hautement significative. Trois facteurs climatiques (évapotranspiration, insolation, humidité relative) influencent de façon significative la variation dans la composition floristique mensuelle des plantes en fleurs.Abstract: The spatio-temporal diversity of plant species in flowers was assessed around an apiary in the locality of Manigri in Benin. Flowering phenological data were collected monthly during the period January-December 2007. We record a total of 266 blossoming plant species of which, 196 herbaceous and 70 woody species. They are grouped into 189 genera and 70 families. The mean values for floristic diversity parameters significantly varie from one plant formation to another. Tree savannah appears to be the most taxonomically diversified formation with 148 species and 111 genera. The therophytes are predominant (24-36%) in all formation, except the shrub savannah. The species richness of blossoming plants varies from 26 species in April to 76 species in September. Woody species richness is highly and negatively correlated than that of herbaceous species. Three climatic factors (evapo-transpiration, insolation and hygrometry) are found to significantly affect the variation in monthly floristic composition of plants in flowers.

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Prévision des potentialités de production de miel à l’échelle d’un rucher au moyen d’un système d’information géographique

Cited by 18 publications

References 30 publications

Forecasting the Influence of Climate Change on Agroecosystem Services: Potential Impacts on Honey Yields in a Small-Island Developing State

Forecasting the Influence of Climate Change on Agroecosystem Services: Potential Impacts on Honey Yields in a Small-Island Developing State

Caractéristiques Structurales Des Peuplements Ligneux À Syzygium Guineense (Willd.) DC. Subsp. Macrocarpum (Myrtaceae) En Vue De Leur Aménagement À Des Fins Apicoles Au Bénin

Diversité spatiotemporelle des ressources florales autour d’un rucher en zone de végétation de transition soudano-guinéenne au Bénin

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