Resurveying historical vegetation data – opportunities and challenges

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/60460709:41320/17:75640 RIV/61989592:15310/17:73583570

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Resurveying historical vegetation data – opportunities and challenges

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Resurveying historical vegetation data – opportunities and challenges

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10618 - Ecology

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Applied vegetation science

ISSN

1402-2001

e-ISSN

—

Svazek periodika

20

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

8

Strana od-do

164-171

Kód UT WoS článku

000398083700002

EID výsledku v databázi Scopus

2-s2.0-84990842124