Remote sensing enabled essential biodiversity variables for invasive alien species management: towards the development of spatial decision support system

Biological invasions represent a significant and pervasive environmental threat, contributing substantially to global biodiversity decline. This review explores the remote sensing of invasive alien plant species within the context of integration into the Essential Biodiversity Variables framework an...

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Bibliographic Details
Published in:Biological invasions 2024-04, Vol.26 (4), p.943-951
Main Authors: Saranya, K. R. L., Satish, K. V., Reddy, C. Sudhakar
Format: Article
Language:English
Subjects:
Biodiversity
Biomedical and Life Sciences
Decision analysis
Decision support systems
Developmental Biology
Ecological models
Ecology
Environmental impact
Freshwater & Marine Ecology
Geographical distribution
Introduced species
Invasive plants
Invasive species
Life Sciences
Mapping
Mathematical models
Monitoring
Plant Sciences
Plant species
Remote sensing
Review
Spatial analysis
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Summary:Biological invasions represent a significant and pervasive environmental threat, contributing substantially to global biodiversity decline. This review explores the remote sensing of invasive alien plant species within the context of integration into the Essential Biodiversity Variables framework and Spatial Decision Support System. By analyzing diverse case studies and research findings, this work explains the significance, effectiveness, and challenges of using remote sensing in the management of invasive alien species. Remote sensing provides critical data for habitat mapping, population monitoring, change detection, and invasibility. Remote sensing, when employed in conjunction with field data, ecological modelling, and spatial analyses, plays a critical role in mapping and predicting the distribution of invasive alien species. The synthesis of remote sensing and GIS technologies, along with the Essential Biodiversity Variables framework and Spatial Decision Support System, has been identified as a robust and promising spatial approach for the monitoring, prediction, and management of invasive alien species.
ISSN:1387-3547
1573-1464
DOI:10.1007/s10530-023-03240-y