An assessment of relative habitat use as a metric for species' habitat association and degree of specialization. (February 2022)
- Record Type:
- Journal Article
- Title:
- An assessment of relative habitat use as a metric for species' habitat association and degree of specialization. (February 2022)
- Main Title:
- An assessment of relative habitat use as a metric for species' habitat association and degree of specialization
- Authors:
- O'Reilly, Enya
Gregory, Richard D.
Aunins, Ainars
Brotons, Lluís
Chodkiewicz, Tomasz
Escandell, Virginia
Foppen, Ruud P.B.
Gamero, Anna
Herrando, Sergi
Jiguet, Frédéric
Kålås, John A.
Kamp, Johannes
Klvaňová, Alena
Lehikoinen, Aleksi
Lindström, Åke
Massimino, Dario
Jostein Øien, Ingar
Reif, Jiří
Šilarová, Eva
Teufelbauer, Norbert
Trautmann, Sven
van Turnhout, Chris
Vikstrøm, Thomas
Voříšek, Petr
Butler, Simon J. - Abstract:
- Highlights: Species are often defined as either associated or not associated with a habitat. Definitions for species' habitat specialization are also static and categorical. Relative habitat use, RHU, provides a scalable, continuous alternative measure. We show that RHU scores and literature classifications are generally well aligned. RHU should be considered when defining species' habitat specialization. Abstract: In order to understand species' sensitivity to habitat change, we must correctly determine if a species is associated with a habitat or not, and if it is associated, its degree of specialization for that habitat. However, definitions of species' habitat association and specialization are often static, categorical classifications that coarsely define species as either habitat specialists or generalists and can fail to account for potential temporal or spatial differences in association or specialization. In contrast, quantitative metrics can provide a more nuanced assessment, defining species' habitat associations and specialization along a continuous scale and accommodate for temporal or spatial variation, but these approaches are less widely used. Here we explore relative habitat use (RHU) as a metric for quantifying species' association with and degree of specialization for different habitat types. RHU determines the extent of a species' association with a given habitat by comparing its abundance in that habitat relative to its mean abundance across all otherHighlights: Species are often defined as either associated or not associated with a habitat. Definitions for species' habitat specialization are also static and categorical. Relative habitat use, RHU, provides a scalable, continuous alternative measure. We show that RHU scores and literature classifications are generally well aligned. RHU should be considered when defining species' habitat specialization. Abstract: In order to understand species' sensitivity to habitat change, we must correctly determine if a species is associated with a habitat or not, and if it is associated, its degree of specialization for that habitat. However, definitions of species' habitat association and specialization are often static, categorical classifications that coarsely define species as either habitat specialists or generalists and can fail to account for potential temporal or spatial differences in association or specialization. In contrast, quantitative metrics can provide a more nuanced assessment, defining species' habitat associations and specialization along a continuous scale and accommodate for temporal or spatial variation, but these approaches are less widely used. Here we explore relative habitat use (RHU) as a metric for quantifying species' association with and degree of specialization for different habitat types. RHU determines the extent of a species' association with a given habitat by comparing its abundance in that habitat relative to its mean abundance across all other habitats. Using monitoring data for breeding birds across Europe from 1998 to 2017; we calculate RHU scores for 246 species for five habitat types and compared them to the literature-based classifications of their association with and specialization for each of these habitats. We also explored the temporal variation in species' RHU scores for each habitat and assessed how this varied according to association and degree of specialization. In general, species' RHU and literature-derived classifications were well aligned, as RHU scores for a given habitat increased in line with reported association and specialization. In addition, temporal variation in RHU scores were influenced by association and degree of specialization, with lower scores for those associated with, and those more specialized to, a given habitat. As a continuous metric, RHU allows a detailed assessment of species' association with and degree of specialization for different habitats that can be tailored to specific temporal and/or spatial requirements. It has the potential to be a valuable tool for identifying indicator species and in supporting the design, implementation and monitoring of conservation management actions. … (more)
- Is Part Of:
- Ecological indicators. Volume 135(2022)
- Journal:
- Ecological indicators
- Issue:
- Volume 135(2022)
- Issue Display:
- Volume 135, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 135
- Issue:
- 2022
- Issue Sort Value:
- 2022-0135-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-02
- Subjects:
- Biodiversity loss -- Relative habitat use -- European birds -- Monitoring -- Specialist species -- Habitat specialization
Environmental monitoring -- Periodicals
Environmental management -- Periodicals
Environmental impact analysis -- Periodicals
Environmental risk assessment -- Periodicals
Sustainable development -- Periodicals
333.71405 - Journal URLs:
- http://www.sciencedirect.com/science/journal/1470160X/ ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ecolind.2021.108521 ↗
- Languages:
- English
- ISSNs:
- 1470-160X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3648.877200
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 20658.xml