Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Light Acquisition

Light Acquisition

In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.

Decision Making: Traditional Method

Decision Making: Traditional Method

The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...

Decision Making: P-value Method

Decision Making: P-value Method

The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Introgression and persistence of cultivar alleles in wild carrot (Daucus carota) populations in the United States.

American journal of botany·2023

Same author

Differential ability of three bee species to move genes via pollen.

PloS one·2023

Same author

Bee species perform distinct foraging behaviors that are best described by different movement models.

Scientific reports·2023

Same author

Population-specific responses of floral volatiles to abiotic factors in changing environments.

American journal of botany·2022

Same author

Bee species visiting Medicago sativa differ in pollen deposition curves with consequences for gene flow.

American journal of botany·2021

Same author

Gene flow in commercial alfalfa (Medicago sativa subsp. sativa L.) seed production fields: Distance is the primary but not the sole influence on adventitious presence.

PloS one·2021

Search research articles

Related Experiment Video

Updated: Aug 10, 2025

Radio Frequency Identification and Motion-sensitive Video Efficiently Automate Recording of Unrewarded Choice Behavior by Bumblebees

Radio Frequency Identification and Motion-sensitive Video Efficiently Automate Recording of Unrewarded Choice Behavior by Bumblebees

Published on: November 15, 2014

The decision-making process of leafcutting bees when selecting patches.

Fabiana P Fragoso¹, Johanne Brunet²

¹United States Department of Agriculture, Agricultural Research Service Research Participation Program - Oak Ridge Institute for Science and Education (ORISE), Madison, WI 53711, USA.

Biology Letters

|February 15, 2023

Summary

Solitary bees, like the alfalfa leafcutting bee, do not choose foraging patches randomly. They use both patch size and distance but can only partially assess resources, informing habitat design for pollinator conservation.

Keywords:

bee behaviour conservation decision-making process fragmentation patch selection solitary bee

More Related Videos

Tactile Conditioning And Movement Analysis Of Antennal Sampling Strategies In Honey Bees Apis mellifera L.

Tactile Conditioning And Movement Analysis Of Antennal Sampling Strategies In Honey Bees Apis mellifera L.

Published on: December 12, 2012

Empirical, Metagenomic, and Computational Techniques Illuminate the Mechanisms by which Fungicides Compromise Bee Health

Empirical, Metagenomic, and Computational Techniques Illuminate the Mechanisms by which Fungicides Compromise Bee Health

Published on: October 9, 2017

Related Experiment Videos

Last Updated: Aug 10, 2025

Radio Frequency Identification and Motion-sensitive Video Efficiently Automate Recording of Unrewarded Choice Behavior by Bumblebees

Radio Frequency Identification and Motion-sensitive Video Efficiently Automate Recording of Unrewarded Choice Behavior by Bumblebees

Published on: November 15, 2014

Tactile Conditioning And Movement Analysis Of Antennal Sampling Strategies In Honey Bees Apis mellifera L.

Tactile Conditioning And Movement Analysis Of Antennal Sampling Strategies In Honey Bees Apis mellifera L.

Published on: December 12, 2012

Empirical, Metagenomic, and Computational Techniques Illuminate the Mechanisms by which Fungicides Compromise Bee Health

Empirical, Metagenomic, and Computational Techniques Illuminate the Mechanisms by which Fungicides Compromise Bee Health

Published on: October 9, 2017

Area of Science:

Ecology
Behavioral Ecology
Conservation Biology

Background:

Land-use change significantly impacts pollinator populations, necessitating research into habitat selection.
Understanding solitary bee foraging behavior is crucial for designing effective conservation strategies in fragmented landscapes.
Solitary bees constitute the majority of bee species globally, making their conservation a priority.

Purpose of the Study:

To investigate the decision-making process of solitary bees when selecting foraging patches.
To test models predicting patch selection based on patch size and isolation distance.
To determine how solitary bees evaluate patch resources.

Main Methods:

An experiment was designed with a central patch and four peripheral patches of varying sizes and distances.
Observed bee movement data (transition data) were collected for the alfalfa leafcutting bee (Megachile rotundata).
Four models of patch attractiveness were tested against the observed data, varying the roles of patch size and isolation distance.

Main Results:

The alfalfa leafcutting bee's patch selection is not random.
Bees utilize both patch size and isolation distance in their decision-making.
The bees demonstrated a partial ability to evaluate patch resources.

Conclusions:

Solitary bees employ specific criteria, including patch size and distance, for patch selection.
Partial evaluation of resources suggests bees may not have complete information when choosing patches.
Findings provide valuable insights for designing and managing habitats to support solitary bee populations in fragmented environments.