Pattern to process, research to practice: remote sensing of plant invasions
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985939%3A_____%2F23%3A00577356" target="_blank" >RIV/67985939:_____/23:00577356 - isvavai.cz</a>
Alternative codes found
RIV/44555601:13520/23:43897773
Result on the web
<a href="https://doi.org/10.1007/s10530-023-03150-z" target="_blank" >https://doi.org/10.1007/s10530-023-03150-z</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s10530-023-03150-z" target="_blank" >10.1007/s10530-023-03150-z</a>
Alternative languages
Result language
angličtina
Original language name
Pattern to process, research to practice: remote sensing of plant invasions
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10618 - Ecology
Result continuities
Project
<a href="/en/project/EF18_053%2F0017850" target="_blank" >EF18_053/0017850: Mobility 2020</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Biological Invasions
ISSN
1387-3547
e-ISSN
1573-1464
Volume of the periodical
25
Issue of the periodical within the volume
12
Country of publishing house
DE - GERMANY
Number of pages
26
Pages from-to
3651-3676
UT code for WoS article
001059975300001
EID of the result in the Scopus database
2-s2.0-85169074661