Data from: Insectivorous bats respond to vegetation complexity in urban green spaces

Structural complexity is known to determine habitat quality for insectivorous bats, but how bats respond to habitat complexity in highly modified areas such as urban green spaces has been little explored. Furthermore, it is uncertain whether a recently developed measure of structural complexity is a...

Full description

Bibliographic Details
Main Authors: Suarez-Rubio, Marcela, Ille, Christina, Bruckner, Alexander
Format: Dataset
Language:unknown
Published: Dryad 2021
Subjects:
Online Access:https://doi.org/10.5061/dryad.5g52t
id fttriple:oai:gotriple.eu:50|dedup_wf_001::dab158e00925576a8cebccfc062784ac
record_format openpolar
spelling fttriple:oai:gotriple.eu:50|dedup_wf_001::dab158e00925576a8cebccfc062784ac 2023-05-15T17:48:36+02:00 Data from: Insectivorous bats respond to vegetation complexity in urban green spaces Suarez-Rubio, Marcela Ille, Christina Bruckner, Alexander 2021-07-03 https://doi.org/10.5061/dryad.5g52t undefined unknown Dryad https://dx.doi.org/10.5061/dryad.5g52t http://dx.doi.org/10.5061/dryad.5g52t lic_creative-commons 10.5061/dryad.5g52t oai:easy.dans.knaw.nl:easy-dataset:100635 oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:100635 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 re3data_____::r3d100000044 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c Mean Information Gain Vegetation complexity Pipistrellus pygmaeus Nyctalus noctula habitat heterogeneity Vegetation clutter Chiroptera Acoustic monitoring (:tba) Life sciences medicine and health care envir archi Dataset https://vocabularies.coar-repositories.org/resource_types/c_ddb1/ 2021 fttriple https://doi.org/10.5061/dryad.5g52t 2023-01-22T16:53:09Z Structural complexity is known to determine habitat quality for insectivorous bats, but how bats respond to habitat complexity in highly modified areas such as urban green spaces has been little explored. Furthermore, it is uncertain whether a recently developed measure of structural complexity is as effective as field-based surveys when applied to urban environments. We assessed whether image-derived structural complexity (MIG) was as/more effective than field-based descriptors in this environment, and evaluated the response of insectivorous bats to structural complexity in urban green spaces. Bat activity and species richness were assessed with ultrasonic devices at 180 locations within green spaces in Vienna, Austria. Vegetation complexity was assessed using 17 field-based descriptors and by calculating the mean information gain (MIG) using digital images. Total bat activity and species richness decreased with increasing structural complexity of canopy cover, suggesting maneuverability and echolocation (sensorial) challenges for bat species using the canopy for flight and foraging. The negative response of functional groups to increased complexity was stronger for open space foragers than for edge space foragers. Nyctalus noctula, a species foraging in open space, showed a negative response to structural complexity, whereas Pipistrellus pygmaeus, an edge space forager, was positively influenced by the number of trees. Our results show that MIG is a useful, time- and cost-effective tool to measure habitat complexity that complemented field-based descriptors. Response of bats to structural complexity was group- and species-specific, which highlights the need for manifold management strategies (e.g., increasing or reinstating the extent of ground vegetation cover) to fulfill different species’ requirements, and to conserve insectivorous bats in urban green spaces. Vegetation complexity and bats in green spacesBat data were collected with acoustic devices in green spaces in Vienna. Bat calls were processed using ... Dataset Nyctalus noctula Unknown
institution Open Polar
collection Unknown
op_collection_id fttriple
language unknown
topic Mean Information Gain
Vegetation complexity
Pipistrellus pygmaeus
Nyctalus noctula
habitat heterogeneity
Vegetation clutter
Chiroptera
Acoustic monitoring
(:tba)
Life sciences
medicine and health care
envir
archi
spellingShingle Mean Information Gain
Vegetation complexity
Pipistrellus pygmaeus
Nyctalus noctula
habitat heterogeneity
Vegetation clutter
Chiroptera
Acoustic monitoring
(:tba)
Life sciences
medicine and health care
envir
archi
Suarez-Rubio, Marcela
Ille, Christina
Bruckner, Alexander
Data from: Insectivorous bats respond to vegetation complexity in urban green spaces
topic_facet Mean Information Gain
Vegetation complexity
Pipistrellus pygmaeus
Nyctalus noctula
habitat heterogeneity
Vegetation clutter
Chiroptera
Acoustic monitoring
(:tba)
Life sciences
medicine and health care
envir
archi
description Structural complexity is known to determine habitat quality for insectivorous bats, but how bats respond to habitat complexity in highly modified areas such as urban green spaces has been little explored. Furthermore, it is uncertain whether a recently developed measure of structural complexity is as effective as field-based surveys when applied to urban environments. We assessed whether image-derived structural complexity (MIG) was as/more effective than field-based descriptors in this environment, and evaluated the response of insectivorous bats to structural complexity in urban green spaces. Bat activity and species richness were assessed with ultrasonic devices at 180 locations within green spaces in Vienna, Austria. Vegetation complexity was assessed using 17 field-based descriptors and by calculating the mean information gain (MIG) using digital images. Total bat activity and species richness decreased with increasing structural complexity of canopy cover, suggesting maneuverability and echolocation (sensorial) challenges for bat species using the canopy for flight and foraging. The negative response of functional groups to increased complexity was stronger for open space foragers than for edge space foragers. Nyctalus noctula, a species foraging in open space, showed a negative response to structural complexity, whereas Pipistrellus pygmaeus, an edge space forager, was positively influenced by the number of trees. Our results show that MIG is a useful, time- and cost-effective tool to measure habitat complexity that complemented field-based descriptors. Response of bats to structural complexity was group- and species-specific, which highlights the need for manifold management strategies (e.g., increasing or reinstating the extent of ground vegetation cover) to fulfill different species’ requirements, and to conserve insectivorous bats in urban green spaces. Vegetation complexity and bats in green spacesBat data were collected with acoustic devices in green spaces in Vienna. Bat calls were processed using ...
format Dataset
author Suarez-Rubio, Marcela
Ille, Christina
Bruckner, Alexander
author_facet Suarez-Rubio, Marcela
Ille, Christina
Bruckner, Alexander
author_sort Suarez-Rubio, Marcela
title Data from: Insectivorous bats respond to vegetation complexity in urban green spaces
title_short Data from: Insectivorous bats respond to vegetation complexity in urban green spaces
title_full Data from: Insectivorous bats respond to vegetation complexity in urban green spaces
title_fullStr Data from: Insectivorous bats respond to vegetation complexity in urban green spaces
title_full_unstemmed Data from: Insectivorous bats respond to vegetation complexity in urban green spaces
title_sort data from: insectivorous bats respond to vegetation complexity in urban green spaces
publisher Dryad
publishDate 2021
url https://doi.org/10.5061/dryad.5g52t
genre Nyctalus noctula
genre_facet Nyctalus noctula
op_source 10.5061/dryad.5g52t
oai:easy.dans.knaw.nl:easy-dataset:100635
oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:100635
10|openaire____::9e3be59865b2c1c335d32dae2fe7b254
re3data_____::r3d100000044
10|re3data_____::84e123776089ce3c7a33db98d9cd15a8
10|re3data_____::94816e6421eeb072e7742ce6a9decc5f
10|eurocrisdris::fe4903425d9040f680d8610d9079ea14
10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c
op_relation https://dx.doi.org/10.5061/dryad.5g52t
http://dx.doi.org/10.5061/dryad.5g52t
op_rights lic_creative-commons
op_doi https://doi.org/10.5061/dryad.5g52t
_version_ 1766154731759075328