Pregled bibliografske jedinice broj: 1221649
Time series analysis of microclimate data in pedunculate oak forests
Time series analysis of microclimate data in pedunculate oak forests // Book of Abstracts 19th International Conference on Operational Research / Mijač, Tea ; Šestanović, Tea (ur.).
Zagreb, 2022. str. 98-98 (predavanje, međunarodna recenzija, sažetak, znanstveni)
CROSBI ID: 1221649 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Time series analysis of microclimate data in
pedunculate oak forests
Autori
Tafro, Azra ; Popić, Krešimir ; Ugarković, Damir
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
Book of Abstracts 19th International Conference on Operational Research
/ Mijač, Tea ; Šestanović, Tea - Zagreb, 2022, 98-98
Skup
19th International Conference on Operational Research (KOI 2022)
Mjesto i datum
Šibenik, Hrvatska, 28.09.2022. - 30.09.2022
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
time series analysis ; SARIMA ; microclimate
Sažetak
Each specific type of forest ecosystem has its own specific microclimate that depends on the macroclimate of the wider area, relief as well as the structural elements of the forest stand. Since the microclimate affects certain ecological and biological processes in the forest ecosystem, its study is a big part of research on forest biodiversity and its relationship to climate. Data on air and soil temperature, relative air humidity and soil moisture were collected over a longer period of time, with great frequency, at multiple forest stands near Vinkovci. This type of data poses a challenge with its size, multidimensionality with highly correlated variables, and different types of seasonality, but also provides a great opportunity for new insight. Given the complexity of the data, simple models generally do not perform well, and computationally complex state-of-the-art models are required. In this paper, the authors evaluate different time series models for the pedunculate oak forest microclimate data and attempt to provide statistical methodology for microclimate comparison between different plots.
Izvorni jezik
Engleski
Znanstvena područja
Interdisciplinarne prirodne znanosti, Biotehnologija
POVEZANOST RADA
Ustanove:
Fakultet šumarstva i drvne tehnologije