Understanding biodiversity distribution is a primary goal of community ecology. At a landscape scale, bee communities are affected by habitat composition, anthropogenic land use, and fragmentation. However, little information is available on local-scale spatial distribution of bee communities within habitats that are uniform at the landscape scale. We studied a bee community along with floral and nesting resources over a 32 km2 area of uninterrupted Mediterranean scrubland. Our objectives were (i) to analyze floral and nesting resource composition at the habitat scale. We ask whether these resources follow a geographical pattern across the scrubland at bee-foraging relevant distances; (ii) to analyze the distribution of bee composition across the scrubland. Bees being highly mobile organisms, we ask whether bee composition shows a homogeneous distribution or else varies spatially. If so, we ask whether this variation is irregular or follows a geographical pattern and whether bees respond primarily to flower or to nesting resources; and (iii) to establish whether body size influences the response to local resource availability and ultimately spatial distribution. We obtained 6580 specimens belonging to 98 species. Despite bee mobility and the absence of environmental barriers, our bee community shows a clear geographical pattern. This pattern is mostly attributable to heterogeneous distribution of small (<55 mg) species (with presumed smaller foraging ranges), and is mostly explained by flower resources rather than nesting substrates. Even then, a large proportion (54.8%) of spatial variability remains unexplained by flower or nesting resources. We conclude that bee communities are strongly conditioned by local effects and may exhibit spatial heterogeneity patterns at a scale as low as 500-1000 m in patches of homogeneous habitat. These results have important implications for local pollination dynamics and spatial variation of plant-pollinator networks.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4019551 | PMC |
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0097255 | PLOS |
Alzheimers Dement
December 2024
Newcastle University, Newcastle, Tyne and Wear, United Kingdom.
Background: Approximately 944,000 people are living with dementia in the UK (∼0.8% of the population). The World Health Organisation consider dementia a public health priority.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Kentucky College of Osteopathic Medicine, PikeVille, KY, USA.
Background: Integrating humanoid robots, wearable sensors, and spatial technology into an intelligent dementia-friendly living space is crucial for tailoring personalized and supportive environments, thereby addressing the unique needs of individuals affected by dementia and maintaining quality of life.[1-10].
Methods: We programmed Pepper, a humanoid robot, for independent verbal communication to interact, tell jokes, and offer medications.
Alzheimers Dement
December 2024
Kentucky College of Osteopathic Medicine, PikeVille, KY, USA.
Background: Integrating humanoid robots, wearable sensors, and spatial technology into an intelligent dementia-friendly living space is crucial for tailoring personalized and supportive environments, thereby addressing the unique needs of individuals affected by dementia and maintaining quality of life.[1-10].
Methods: We programmed Pepper, a humanoid robot, for independent verbal communication to interact, tell jokes, and offer medications.
Ecol Evol
January 2025
CEFE Univ Montpellier, CNRS, EPHE, IRD Montpellier France.
Species' future distributions are commonly predicted using models that link the likelihood of occurrence of individuals to the environment. Although animals' movements are influenced by physical and non-physical landscapes, for example related to individual experiences such as space familiarity or previous encounters with conspecifics, species distribution models developed from observations of unknown individuals cannot integrate these latter variables, turning them into 'invisible landscapes'. In this theoretical study, we address how overlooking 'invisible landscapes' impacts the estimation of habitat selection and thereby the projection of future distributions.
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February 2024
Departamento de Ciencias del Agua y Medio Ambiente, Instituto Tecnológico de Sonora, 5 de Febrero 818 Sur, Cd. Obregón, Sonora 85000, México.
Unmanned Aerial Vehicles (UAV) are advantageous to assess vegetation and terrain changes at a high spatial resolution, advancing our understanding of shifts in ecosystem states and processes. The extension of land that we sought to observe belongs to the footprint of an Eddy Covariance System (around 7.5 ha), installed in a secondary ecological succession of the tropical dry forest (27.
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