Resurveying historical vegetation data – opportunities and challenges
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985939%3A_____%2F17%3A00477575" target="_blank" >RIV/67985939:_____/17:00477575 - isvavai.cz</a>
Alternative codes found
RIV/60460709:41320/17:75640 RIV/61989592:15310/17:73583570
Result on the web
<a href="http://dx.doi.org/10.1111/avsc.12269" target="_blank" >http://dx.doi.org/10.1111/avsc.12269</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1111/avsc.12269" target="_blank" >10.1111/avsc.12269</a>
Alternative languages
Result language
angličtina
Original language name
Resurveying historical vegetation data – opportunities and challenges
Original language description
Re-sampling error is caused by three main independent sources of error: error caused by plot relocation, observer bias and seasonality bias. For relocation error, vegetation plots can be divided into permanent and non-permanent plots, while the latter are further divided into quasi-permanent (with approximate relocation) and non-traceable (with random relocation within a sampled area) plots. To reduce the inherent sources of error in resurvey data, the following precautions should be followed: (i) resurvey historical vegetation plots whose approximate plot location within a study area is known, (ii) consider all information available from historical studies in order to keep plot relocation errors low, (iii) resurvey at times of the year when vegetation development is comparable to the historical survey to control for seasonal variability in vegetation, (iv) retain a high level of experience of the observers to keep observer bias low, and (v) edit and standardize data sets before analyses.
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
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Applied vegetation science
ISSN
1402-2001
e-ISSN
—
Volume of the periodical
20
Issue of the periodical within the volume
2
Country of publishing house
GB - UNITED KINGDOM
Number of pages
8
Pages from-to
164-171
UT code for WoS article
000398083700002
EID of the result in the Scopus database
2-s2.0-84990842124