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How to assess the temporal dynamics of landscape connectivity in ever-changing landscapes
- Source :
- Landscape Ecology, Landscape Ecology, Springer Verlag, 2021, Landscape Ecology, 2021, 36 (9), pp.2487-2504. ⟨10.1007/s10980-021-01277-9⟩, Landscape Ecology, Springer Verlag, 2021, 36 (9), pp.2487-2504. ⟨10.1007/s10980-021-01277-9⟩
- Publication Year :
- 2021
- Publisher :
- HAL CCSD, 2021.
-
Abstract
- International audience; Context: Landscape connectivity plays a key role in determining the persistence of species inhabiting fragmented habitat patches. In dynamic landscapes, most studies measure connectivity at multiple time steps, but pay less attention to explicitly quantifying its temporal dynamics to gain insights into its role in biodiversity patterns, thereby enabling more effective operational outcomes.Objectives: This article aimed at making an overview of the existing methods for the assessment of the temporal dynamics of connectivity. By analysing their differences and possible applications, we aimed to highlight knowledge gap and future research directions.Methods: We conducted a systematic review of literature dealing with the assessment of the temporal dynamics of connectivity and obtained 32 studies.Results: We presented two main approaches based on graph theory and compared them from conceptual and operational perspectives. The first widely used approach, accounting only for the spatial dispersal of organisms, quantifies temporal changes in spatial connectivity. Based on two or multiple time steps in the time series, this approach enables assessment of the sense and magnitude of the temporal changes in spatial connectivity. The second recently developed approach quantifies spatio-temporal connectivity, thus accounting for both spatial and temporal dispersal. So far, this holistic assessment of spatio-temporal connectivity only covers two time steps.Conclusion: Existing methods for the assessment of the temporal dynamics of connectivity provide indicators to advance our understanding of biodiversity patterns, and to be able to implement measures to conserve and restore connectivity. We propose future directions to develop these methods.
- Subjects :
- 0106 biological sciences
Computer science
Ecology (disciplines)
Geography, Planning and Development
010603 evolutionary biology
01 natural sciences
Spatial connectivity
Multiple time
[SDU.STU.AG]Sciences of the Universe [physics]/Earth Sciences/Applied geology
Nature and Landscape Conservation
Sustainable development
Ecology
010604 marine biology & hydrobiology
Temporal changes
Graph theory
Dispersal
[SHS.GEO]Humanities and Social Sciences/Geography
15. Life on land
Data science
Spatio-temporal connectivity
Dynamics (music)
[SDE]Environmental Sciences
Biological dispersal
Landscape ecology
[SDE.BE]Environmental Sciences/Biodiversity and Ecology
Landscape connectivity
Subjects
Details
- Language :
- English
- ISSN :
- 09212973 and 15729761
- Database :
- OpenAIRE
- Journal :
- Landscape Ecology, Landscape Ecology, Springer Verlag, 2021, Landscape Ecology, 2021, 36 (9), pp.2487-2504. ⟨10.1007/s10980-021-01277-9⟩, Landscape Ecology, Springer Verlag, 2021, 36 (9), pp.2487-2504. ⟨10.1007/s10980-021-01277-9⟩
- Accession number :
- edsair.doi.dedup.....0b6d25a17fac88e842d71329db70695b
- Full Text :
- https://doi.org/10.1007/s10980-021-01277-9⟩