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Naslov:Evaluating WorldClim version 1 (1961-1990) as the baseline for sustainable use of forest and environmental resources in a changing climate
Avtorji:Marchi, Maurizio (Avtor)
Sinjur, Iztok (Avtor)
Bozzano, Michele (Avtor)
Westergren, Marjana (Avtor)
Jezik:Angleški jezik
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:Logo SciVie - Gozdarski inštitut Slovenije
Povzetek:WorldClim version 1 is a high-resolution, global climate gridded dataset covering 1961-1990; a ˝normal˝ climate. It has been widely used for ecological studies thanks to its free availability and global coverage. This study aims to evaluate the quality of WorldClim data by quantifying any discrepancies by comparison with an independent dataset of measured temperature and precipitation records across Europe. BIO1 (mean annual temperature, MAT) and BIO12 (mean total annual precipitation, MAP) were used as proxies to evaluate the spatial accuracy of the WorldClim grids. While good representativeness was detected for MAT, the study demonstrated a bias with respect to MAP. The average difference between WorldClim predictions and climate observations was around +0.2 °C for MAT and -48.7 mm for MAP, with large variability. The regression analysis revealed a good correlation and adequate proportion of explained variance for MAT (adjusted R2 = 0.856) but results for MAP were poor, with just 64% of the variance explained (adjusted R2 = 0.642). Moreover no spatial structure was found across Europe, nor any statistical relationship with elevation, latitude, or longitude, the environmental predictors used to generate climate surfaces. A detectable spatial autocorrelation was only detectable for the two most thoroughly sampled countries (Germany and Sweden). Although further adjustments might be evaluated by means of geostatistical methods (i.e., kriging), the huge environmental variability of the European environment deeply stressed the WorldClim database. Overall, these results show the importance of an adequate spatial structure of meteorological stations as fundamental to improve the reliability of climate surfaces and derived products of the research (i.e., statistical models, future projections).
Ključne besede:spatial analysis, spatial interpolation, geostatistics, ecological mathematics
Leto izida:2019
UDK:630*18:630*51
ISSN pri članku:2071-1050
OceCobissID:5324897 Povezava se odpre v novem oknu
COBISS_ID:5403046 Povezava se odpre v novem oknu
DOI:10.3390/su11113043 Povezava se odpre v novem oknu
Opombe:Nasl. z nasl. zaslona; Opis vira z dne 6. 6. 2019; Soavtorji: Iztok Sinjur, Michele Bozzano, Marjana Westergren;
Število ogledov:1152
Število prenosov:623
Datoteke:URL URL - Predstavitvena datoteka, za dostop obiščite https://www.mdpi.com/2071-1050/11/11/3043
.pdf PDF - Predstavitvena datoteka, prenos (2,62 MB)
 
Nadgradivo:Sustainability
MDPI
Basel, 2009
 
Metapodatki:XML RDF-CHPDL DC-XML DC-RDF
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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:19.10.2020

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