Monitoring biodiversity in the Anthropocene using remote sensing in species distribution models
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F20%3A82304" target="_blank" >RIV/60460709:41330/20:82304 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S0034425719306467" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0034425719306467</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.rse.2019.111626" target="_blank" >10.1016/j.rse.2019.111626</a>
Alternative languages
Result language
angličtina
Original language name
Monitoring biodiversity in the Anthropocene using remote sensing in species distribution models
Original language description
In the face of the growing challenges brought about by human activities, effective planning and decisionmaking in biodiversity and ecosystem conservation, restoration, and sustainable development are urgently needed. Ecological models can play a key role in supporting this need and helping to safeguard the natural assets that underpin human wellbeing and support life on land and below water (United Nations Sustainable Development Goals SDG 15 14). The urgency and complexity of safeguarding forest (SDG 15,2) and mountain ecosystems (SDG 15,4), for example, and halting decline in biodiversity (SDG 15,5) in the Anthropocene requires a reenvisioning of how ecological models can best support the comprehensive assessments of biodiversity and its change that are required for successful action. A key opportunity to advance ecological modeling for both predictive and explanatory purposes arises through a collaboration between ecologists and the Earth observation community, and a close integration of remot
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
10511 - Environmental sciences (social aspects to be 5.7)
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Remote Sensing of Environment
ISSN
0034-4257
e-ISSN
1879-0704
Volume of the periodical
239
Issue of the periodical within the volume
111626
Country of publishing house
GB - UNITED KINGDOM
Number of pages
18
Pages from-to
1-18
UT code for WoS article
000518694400037
EID of the result in the Scopus database
2-s2.0-85077707441