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A new approach to assessing the space use behaviour of macroinvertebrates by automated video tracking

Individual space and resource use are central issues in ecology and conservation. Recent technological advances such as automated tracking techniques are boosting ecological research in this field. However, the development of a robust method to track space and resource use is still challenging for at least one important ecosystem component: motile aquatic macroinvertebrates. The challenges are mostly related to the small body size and rapid movement of many macroinvertebrate species and to light scattering and wave signal interference in aquatic habitats. 2. We developed a video tracking method designed to reliably assess space use behaviour among individual aquatic macroinvertebrates under laboratory (microcosm) conditions. The approach involves the use of experimental apparatus integrating a near infrared backlight source, a Plexiglas multi-patch maze, multiple infrared cameras and automated video analysis. It allows detection of the position of fast-moving (~ 3 cm s-1) and translucent individuals of small size (~ 5 mm in length, ~1 mg in dry weight) on simulated resource patches distributed over an experimental microcosm (0.08 m2). 3. To illustrate the adequacy of the proposed method, we present a case study regarding the size dependency of space use behaviour in the model organism Gammarus insensibilis, focusing on individual patch selection, giving-up times and cumulative space used. 4. In the case study, primary data were collected on individual body size and individual locomotory behaviour, e.g. mean speed, acceleration and step length. Individual entrance and departure times were recorded for each simulated resource patch in the experimental maze. Individual giving-up times were found to be characterised by negative size dependency, with patch departure occurring sooner in larger individuals than smaller ones, and individual cumulative space used (treated as the overall surface area of resource patches that individuals visited) was found to scale positively with body size. 5. This approach to studying space use behaviour can deepen our understanding of species coexistence, yielding insights into mechanistic models on larger spatial scales, e.g. home range, with implications for ecological and evolutionary processes, as well as for the management and conservation of populations and ecosystems. Despite being specifically developed for aquatic macroinvertebrates, this method can also be applied to other small aquatic organisms such as juvenile fish and amphibians.

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  • Project
  • Methods
  • Data Tables

Default

Identification

Alternate Identifier

urn:lsid:knb.ecoinformatics.org:autogen:2020111604110772701

Publication Date
2020-01-01
Title

A new approach to assessing the space use behaviour of macroinvertebrates by automated video tracking

Abstract

Individual space and resource use are central issues in ecology and conservation. Recent technological advances such as automated tracking techniques are boosting ecological research in this field. However, the development of a robust method to track space and resource use is still challenging for at least one important ecosystem component: motile aquatic macroinvertebrates. The challenges are mostly related to the small body size and rapid movement of many macroinvertebrate species and to light scattering and wave signal interference in aquatic habitats. 2. We developed a video tracking method designed to reliably assess space use behaviour among individual aquatic macroinvertebrates under laboratory (microcosm) conditions. The approach involves the use of experimental apparatus integrating a near infrared backlight source, a Plexiglas multi-patch maze, multiple infrared cameras and automated video analysis. It allows detection of the position of fast-moving (~ 3 cm s-1) and translucent individuals of small size (~ 5 mm in length, ~1 mg in dry weight) on simulated resource patches distributed over an experimental microcosm (0.08 m2). 3. To illustrate the adequacy of the proposed method, we present a case study regarding the size dependency of space use behaviour in the model organism Gammarus insensibilis, focusing on individual patch selection, giving-up times and cumulative space used. 4. In the case study, primary data were collected on individual body size and individual locomotory behaviour, e.g. mean speed, acceleration and step length. Individual entrance and departure times were recorded for each simulated resource patch in the experimental maze. Individual giving-up times were found to be characterised by negative size dependency, with patch departure occurring sooner in larger individuals than smaller ones, and individual cumulative space used (treated as the overall surface area of resource patches that individuals visited) was found to scale positively with body size. 5. This approach to studying space use behaviour can deepen our understanding of species coexistence, yielding insights into mechanistic models on larger spatial scales, e.g. home range, with implications for ecological and evolutionary processes, as well as for the management and conservation of populations and ecosystems. Despite being specifically developed for aquatic macroinvertebrates, this method can also be applied to other small aquatic organisms such as juvenile fish and amphibians.

 
Dataset Creator
  University of Salento - Milad Shokri

Dataset Creator
  CNR - Francesco Cozzoli

Dataset Creator
  University of Salento - Mario Ciotti

Dataset Creator
  University of Salento - Vojsava Gjoni

Dataset Creator
  University of Salento - Vanessa Marrocco

Dataset Creator
  University of Salento - Fabio Vignes

Dataset Creator
  University of Salento - Alberto Basset (Professor)

Dataset Contact
  University of Salento - Milad Shokri

Keywords (None)
  • body size

  • giving-up time

  • macroinvertebrates

  • space use

  • foraging behavior

Geographic Coverage

Geographic Description

Laboratory experiment at the University of Salento (Lecce-taly)

Bounding Box

West Bounding Coordinate

18.1750

East Bounding Coordinate

18.1750

North Bounding Coordinate

40.3515

South Bounding Coordinate

40.3515

Temporal Coverage

Range of Dates

Begin Date

2019-09-01

End Date

2019-11-27

Taxonomic Coverage

General Taxonomic Coverage

Laboratory experiment carried out at species level

Taxonomic Classification

Taxonomic Rank Name

Species

Taxonomic Rank Value

Gammarus insensibilis

License Information

Intellectual Rights

This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

 

Distribution

Online

A brief description of the the content of online URL.

Info and download page on the LifeWatch Italy Data Portal

URL
https://dataportal.lifewatchitaly.eu/view/urn%3Auuid%3A092761f7-1910-4d15-9ba7-db3b3e35c493

Online

A brief description of the the content of online URL.

DOI

URL
https://doi.org/10.48372/5t7q-0x08

Online

A brief description of the the content of online URL.

OSF

URL
https://osf.io/7ezm5
 
 

Project

• Project

Title

A new approach to assessing the space use behaviour of macroinvertebrates by automated video tracking

Personnel

Individual Name

Given Name

Milad

Surname

Shokri

Organization Name

University of Salento

Role

principalInvestigator

Personnel

Individual Name

Given Name

Francesco

Surname

Cozzoli

Organization Name

CNR

Role

principalInvestigator

Personnel

Individual Name

Given Name

Mario

Surname

Ciotti

Organization Name

University of Salento

Role

principalInvestigator

Personnel

Individual Name

Given Name

Vojsava

Surname

Gjoni

Organization Name

University of Salento

Role

principalInvestigator

Personnel

Individual Name

Given Name

Vanessa

Surname

Marrocco

Organization Name

University of Salento

Role

principalInvestigator

Personnel

Individual Name

Given Name

Fabio

Surname

Vignes

Organization Name

University of Salento

Role

principalInvestigator

Personnel

Individual Name

Given Name

Alberto

Surname

Basset

Organization Name

University of Salento

Position Name

Professor

Role

principalInvestigator

Funding

ECOPOTENTIAL project (H2020), award number 641762

 
 

Methods

• Method

Method Step

Description

For detailed experimental method see Shokri et al., 2021 following DOI: 10.1002/ece3.7129. Experimental setup The experimental system consisted of a number of mazes made of transparent Plexiglas and designed specifically for measuring aquatic macroinvertebrate space use behavior, which were placed on top of a near infrared (NIR) backlight source. Each maze was in the shape of an isosceles trapezoid [with the parallel sides measuring 70 and 40 cm and each nonparallel side measuring 70 cm], inside which were six circular patches [13 cm in diameter, 3 cm high], each with an area of 0.013 m2, connected by a network of channels [2.5 cm wide, 3 cm high], with a total surface area of 0.08 m2 (Figure 1). For each experimental trial, 1 g DW of conditioned leaf fragments was uniformly distributed across the surface of one patch, 0.5 g of conditioned leaf fragments was placed in another patch (thereby simulating two resource patches), and the other four patches were left empty. The distribution of the resource patches was randomized in each test to prevent any effect of microcosm geometry. Individual movement in the experimental maze was recorded by cameras (Basler, aca1300‐60gm) equipped with infrared pass filters (850 E, 35.5 mm; Heliopan, Germany). The cameras were supported by an aluminum framework and positioned 60 cm above the maze with an aerial view of the microcosm and channels in order to detect individual movements (Figure 1). Because all the channels are in a radial position with respect to the center of the patches, placing the camera above the center of a patch ensured that it could capture everything occurring inside the patch and the channels connected to it. The setup of the cameras was crucial to the method, since the small size of the aquatic invertebrates is compounded by their tendency to thigmotaxis, which causes them to crawl or swim along the walls and would make it easy to miss an animal if a wall were blocking the view of the cameras. To this end, three cameras were placed at 60 cm above each maze. Each camera covered a view of two patches and the channels connected to them with a visual radius of 21 cm .

Method Step

Description

Automated tracking Space use was measured for one individual at a time in an experimental maze, meaning that it was possible to know the position of the animal at any moment. Recordings were initiated 10 min after the specimen was placed in the maze and lasted for 6 hr. Videos were recorded at 25 frames per second with 1,280 × 1,024 spatial resolution. The video files were then processed automatically by Ethovision XT 14 in batch acquisition mode (Noldus Information Technology BV) [see Noldus et al. (2001) for more details on Ethovision software]. Specimens were directly identified by the software as moving elements compared to the static background, thus allowing detection even if the specimen was not moving. Ethovision XT 14 makes it possible to set transition thresholds and thus determine each transition between patches (an illustrative video is publicly accessible at https://osf.io/7ezm5/). The channels were divided into three zones (a, b, and c) (Figure 2), with transition being counted once the animal passed all three zones along the channel depending on the direction, the transition was counted as positive or negative and exported as text files. The output of Ethovision XT 14 was then fed into a Microsoft Excel Macro©™ which computed the time spent in each patch during each visit, as well as the number of patches visited, a visit being defined as each time an individual passes through a channel and enters a patch.

Method Step

Description

System variables In terms of space use behavior, the present case study made use of four descriptors: The number of visits to each patch; a visit being defined as each time the animal entered a patch and remained in the patch for at least 30 s. The giving‐up time (GUT), defined as the duration of a single visit (Krebs et al., 1974), computed here as the average time spent in a resource patch during each visit. The total time spent by individuals in any patch in absolute terms (min) and as a fraction (%) of the experimental time. The individual cumulative space used, defined as the total area of the resource patches used by individuals during the experimental time (ca. 360 min), and it was computed simply as the number of visits to a resource patch × the resource patch area (0.01 m2).

 
 

Data Tables

• Data Table

Name

Foraging_Behavior_RawData_Macroinvertebrate_Lab_Experiment

Physical

Data Format

Externally Defined Format

Format Name

application/vnd.openxmlformats-officedocument.spreadsheetml.sheet

Attribute List

Attribute

Name

Temperature

Label
Definition

The temperature condition of the experiment.

Standard Unit

Attribute

Name

Individual

Label
Definition

The ID of each individuals used in the experiment.

Attribute

Name

BL

Label

Body Length

Definition

The distance from the most anterior part of the head (rostrum or the posterior margin of the orbit) to the end of carapace.

Standard Unit

Attribute

Name

BW

Label

Body Weight

Definition

The body weight obtained after prolonged oven-drying to remove the water content (dry weight).

Standard Unit

Attribute

Name

Resource

Label
Definition

The resource conditions which were tested for every experiment.

Attribute

Name

Visit

Label
Definition

The number of visits per patches that each individual visits during the experimental time.

Standard Unit

Attribute

Name

TotVisit

Label
Definition

The total number of visits that each individual visits during the experimental time.

Standard Unit

Attribute

Name

PercentVisit

Label
Definition

The number of visit per patch by each individual respect to the total number of visits during the experimental time; calculated based on visits/TotVisit.

Standard Unit

Attribute

Name

TimeSpent

Label
Definition

The time that each individual spent on each patch during the experimental time.

Standard Unit

Attribute

Name

PercentTime

Label
Definition

The ratio between the time spent per patch and the whole experimental time.

Standard Unit

Attribute

Name

Duration

Label
Definition

The duration of the experiment.

Standard Unit

Attribute

Name

GUT

Label

Giving Up Time

Definition

The ratio between the TimeSpent per patch and the number of visit per patch.

Standard Unit

Attribute

Name

Cumulative_space_used

Label

Cumulative Space Used

Definition

The overall surface area of resource patch (0.01) that individual visited, calculated as number of visit multiplied to the surface area of the resource patch.

Standard Unit