Journal article
Authors list: Muellerova, Jana; Brundu, Giuseppe; Grosse-Stoltenberg, Andre; Kattenborn, Teja; Richardson, David M.
Publication year: 2023
Pages: 3651-3676
Journal: Biological Invasions
Volume number: 25
Issue number: 12
ISSN: 1387-3547
eISSN: 1573-1464
DOI Link: https://doi.org/10.1007/s10530-023-03150-z
Publisher: Springer
Abstract:
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, field ecologists and land managers, summarizes the state-of-the-art and potential of remote sensing (RS) in plant invasion science and management. It identifies 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 different spatial and temporal scales ("rocking" across scales) has the potential to elucidate the dynamics of invasions and to reveal its drivers, thereby improving the efficiency 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 environmental variables and landscape structure at scales fine enough to capture underlying ecological processes. Until now, RS research has focussed primarily on spatio-temporal patterns of plant invasions. Other more challenging topics, such as early monitoring, and revealing the invasion mechanisms and impacts have received less attention. Despite the power of RS technology and recent developments, large discrepancies remain between possibilities and actual implications in research and practical management of invasions. Although recent technological advances, such as powerful algorithms, cloud solutions, and data streams from citizen science, might overcome some limitations, the mutual dialog among field ecologists, managers, invasion scientists and RS specialists remains crucial; our review contributes to such communication.
Citation Styles
Harvard Citation style: Muellerova, J., Brundu, G., Grosse-Stoltenberg, A., Kattenborn, T. and Richardson, D. (2023) Pattern to process, research to practice: remote sensing of plant invasions, Biological Invasions, 25(12), pp. 3651-3676. https://doi.org/10.1007/s10530-023-03150-z
APA Citation style: Muellerova, J., Brundu, G., Grosse-Stoltenberg, A., Kattenborn, T., & Richardson, D. (2023). Pattern to process, research to practice: remote sensing of plant invasions. Biological Invasions. 25(12), 3651-3676. https://doi.org/10.1007/s10530-023-03150-z
Keywords
Aboveground biomass; COLORADO RIVER; DIORHABDA-CARINULATA; DISTRIBUTION MODELS; GRAND-CANYON; HERACLEUM-MANTEGAZZIANUM; IMAGING SPECTROSCOPY; Invasion ecology; Invasion science; Monitoring schemes; REGIME SHIFTS; SPARTINA-ALTERNIFLORA INVASION; Spatio-temporal dynamics; THEMATIC MAPPER