Vaš brskalnik ne omogoča JavaScript!
JavaScript je nujen za pravilno delovanje teh spletnih strani. Omogočite JavaScript ali pa uporabite sodobnejši brskalnik.
Nacionalni portal odprte znanosti
Odprta znanost
DiKUL
slv
|
eng
Iskanje
Brskanje
Novo v RUL
Kaj je RUL
V številkah
Pomoč
Prijava
Grassland model based evaluation of drought indices : A case study from the Slovenian alpine region
ID
Pogačar, Tjaša
(
Avtor
),
ID
Žnidaršič, Zala
(
Avtor
),
ID
Vlahović, Živa
(
Avtor
),
ID
Črepinšek, Zalika
(
Avtor
),
ID
Sušnik, Andreja
(
Avtor
)
PDF - Predstavitvena datoteka,
prenos
(3,47 MB)
MD5: A65B50F1BE79B74F00A6C907AEA90A2A
URL - Izvorni URL, za dostop obiščite
https://www.mdpi.com/2073-4395/12/4/936
Galerija slik
Izvleček
Considering that the relationships between agrometeorological drought indices and the impact of agricultural drought in Slovenia are not yet well understood, the aim of this study was to make an indicative evaluation of the success of selected drought indices, addressing topsoil layer and vegetation condition, in detecting drought in agriculture. In this study, the performance of two established drought indices—the SPEI (standardised precipitation evapotranspiration index) and the VHI (vegetation health index)—was evaluated with respect to yield values calculated with the LINGRA-N model, specifically, the ratio between actual and potential transpiration, also known as drought factor (TRANRF), actual root zone water content (SMACT), leaf area index (LAI), reserve dry weight (WRE), and root dry weight (WRT). The two grassland species selected for analysis were Dactylis glomerata L. (dg) and Lolium perenne L. (lp). For the period 2002–2020 or 2015–2020, three farm sites in Slovenia were considered for evaluation, with two farms at a higher altitude site and one farm at a lower altitude site in the Alpine region. Evaluation of the yield data with the drought indices showed that the r2 values of the linear regression for the selected years with the highest drought impacts (2003, 2013, and 2017) were highest between the two SPEI indices (SPEI-2, SPEI-3) and the model variables TRANRF, SMACT, and WRT, with r2 higher than 0.5 and statistically significant for the lower situated farm in 2013. For 2003 and 2017, the r2 values were less significant as well as for the model variable WRE for all three years selected for analysis (2003, 2013, and 2017).
Jezik:
Angleški jezik
Ključne besede:
yield modelling
,
agrometeorology
,
drought
,
SPEI
,
standardised precipitation evapotranspiration index
,
LINGRA-N model
,
VHI
,
vegetation health index
,
Dactylis glomerata
,
Lolium perenne
,
grasslands
Vrsta gradiva:
Članek v reviji
Tipologija:
1.01 - Izvirni znanstveni članek
Organizacija:
BF - Biotehniška fakulteta
Status publikacije:
Objavljeno
Različica publikacije:
Objavljena publikacija
Datum objave:
13.04.2022
Leto izida:
2022
Št. strani:
18 str.
Številčenje:
Vol. 12, Iss. 4
PID:
20.500.12556/RUL-136219
UDK:
551.5
ISSN pri članku:
2073-4395
DOI:
10.3390/agronomy12040936
COBISS.SI-ID:
105352963
Datum objave v RUL:
20.04.2022
Število ogledov:
746
Število prenosov:
100
Metapodatki:
Citiraj gradivo
Navadno besedilo
BibTeX
EndNote XML
EndNote/Refer
RIS
ABNT
ACM Ref
AMA
APA
Chicago 17th Author-Date
Harvard
IEEE
ISO 690
MLA
Vancouver
:
Kopiraj citat
Objavi na:
Gradivo je del revije
Naslov:
Agronomy
Skrajšan naslov:
Agronomy
Založnik:
MDPI
ISSN:
2073-4395
COBISS.SI-ID:
522953241
Licence
Licenca:
CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:
http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:
To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
Začetek licenciranja:
13.04.2022
Sekundarni jezik
Jezik:
Slovenski jezik
Ključne besede:
agrometeorologija
,
modeliranje
,
pridelek
,
trave
,
suša
,
vegetacijski indeks
,
standardiziran padavinski indeks
,
evapotranspiracija
,
pridelek
Projekti
Financer:
Drugi - Drug financer ali več financerjev
Program financ.:
Alpine Space Programme (2018–2021)
Naslov:
Alpine Drought Observatory project
Akronim:
ADO
Podobna dela
Podobna dela v RUL:
Podobna dela v drugih slovenskih zbirkah:
Nazaj