Pattern to process, research to practice: remote sensing of plant invasions

0577356 - BÚ 2024 RIV DE eng J - Journal Article
Muellerová, J. - Brundu, G. - Grosse-Stoltenberg, A. - Kattenborn, T. - Richardson, David Mark
Pattern to process, research to practice: remote sensing of plant invasions.
Biological Invasions. Roč. 25, č. 12 (2023), s. 3651-3676. ISSN 1387-3547. E-ISSN 1573-1464
R&D Projects: GA MŠMT(CZ) EF18_053/0017850
Institutional support: RVO:67985939
Keywords : invasion ecology * invasion science * monitoring schemes * remote sensing * spatio-temporal dynamics
OECD category: Ecology
Impact factor: 2.9, year: 2022
Method of publishing: Limited access
https://doi.org/10.1007/s10530-023-03150-z

Processes that drive plant invasions play out across multiple spatial and temporal scales. Understanding individual steps along the introduction-naturalization-invasion continuum and its drivers is crucial for management. This review, targeting the broad audience of invasion scientists, feld ecologists and land managers, summarizes the state-of-the-art and potential of remote sensing (RS) in plant invasion science and management. It identifes challenges and research gaps, discusses the discrepancies between technology, science and practice, and suggests ways of addressing some of these issues. Mapping, modelling and predicting invasion processes across scales is a major challenge since they are dynamic and highly complex. Integration of RS data collected at diferent spatial and temporal scales (“rocking” across scales) has the potential to elucidate the dynamics of invasions and to reveal its drivers, thereby improving the efciency of control measures. Increasing spatial/temporal resolution of imagery from satellites and drones has much potential to (i) precisely identify even less conspicuous invasive species, (ii) map invasion dynamics, and (iii) provide information on.
Permanent Link: https://hdl.handle.net/11104/0349206