Use of direct gradient analysis to study the climate-vegetation relationships in Galicia, Spain

Retuerto, Rubén; Carballeira, A.

doi:10.1007/bf00033201

Cited by 11 publications

(2 citation statements)

References 19 publications

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“…Kerner Oceanity Index (KOI). Assuming that in a maritime climate, autumn is a little warmer than spring, Retuerto and Carballeira (1992), Gavilan (2005), and Baltas (2007) define the Kerner Oceanity Index by the following formula (categorization of climate according to KOI values is given in Table 2):…”

Section: The Used Methodsmentioning

confidence: 99%

“…In the era of contemporary climate change, there is no doubt that climate indices will have an increasingly important application not only in agriculture, tourism, and other sectors of the economy, but may indicate the need for more rational water use, especially in areas where precipitation trends are registered and projected. Therefore, the aim of this paper is a more complex presentation of climatic conditions in Serbia, using geospatial analysis of the distribution and variation of four climate indices: Johansson Continentality Index (Johansson, 1926;Conrad and Pollak, 1951), Kerner Oceanity Index (Kerner, 1905;Retuerto and Carballeira, 1992;Gavilan, 2005;Baltas, 2007), De Martonne Aridity Index (De Martonne, 1926), and Pinna Combinative Index (Zambakas, 1992). For the purposes of this paper, the period 1951-2010 was used, and the indices were calculated on the basis of average monthly and annual values of temperature and precipitation from the 31 meteorological stations in Serbia.…”

Section: Introductionmentioning

confidence: 99%

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Contribution to the study of climate change in Serbia using continentality, oceanity, and aridity indices

Burić,

Mihajlović,

Ducić

et al. 2023

Időjárás

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The aim of the study is to present some specific climatic conditions on the territory of the Republic of Serbia based on the analysis of four climate indices, which can help in understanding contemporary climate changes. Temperature and precipitation data from 31 meteorological stations for the period 1951–2010 were used. The relative homogeneity of the data series was done using the MASH v3.02 method. The indices used are: Johansson Continentality Index, Kerner Oceanity Index, De Martonne Aridity Index, and Pinna Combinative Index. Geospatial analysis of the distribution of the values of the four mentioned indices was done using the QGIS package 2.8.1. The results of the research show that the continentality effect is present in most of Serbia, while oceanity is observed locally, mainly in the western and southwestern parts of the country. The further analysis showed that there is no dry and semi–dry Mediterranean climate in Serbia. Considering that it is dry in the warmest part of the year (July–September), when the need for water is increased, which is clearly shown by the Walter climate diagram, as well as the fact that an increase in temperature and a decrease in precipitation during the vegetation period were observed in the second 30–year period (1981–2010), it can be concluded that in Serbia there is a tendency towards arid climate. The results presented in this paper can help decision makers to plan certain climate change adaptation measures.

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Section: The Used Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Contribution to the study of climate change in Serbia using continentality, oceanity, and aridity indices

Burić,

Mihajlović,

Ducić

et al. 2023

Időjárás

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Spatial variations of climate indices in Turkey

Deniz

Toros

İncecik

2011

Intl Journal of Climatology

147

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ABSTRACT:The present study explores the spatial variability of the continentality, oceanity and aridity indices in Turkey. Climatic indices are diagnostic tools used to describe climatic conditions and the state of a climate system. In this study, four indices were calculated using the climatic data from 229 meteorological stations in Turkey. The nature of the indices expresses general climatic features such as continentality, marine influences and aridity. The climatic indices used here are the Johansson Continentality (JC) Index, the Kerner Oceanity Index (KOI), the De Martonne Aridity Index (I DM ) and the Pinna Combinative (PV) Index. Furthermore, aridity characteristics in Turkey have been examined using the two separate periods (1960-1990 and 1991-2006). To assess the temperature and precipitation patterns in Turkey, the climatic indices were calculated by using monthly temperature and precipitation for the period 1960-2006. According to the results of the KOI, marine climates characteristics were dominant in the Black Sea region than in its Aegean and Mediterranean region. The JC index is used for the climatic classification between continental and oceanic climates. The continental effect was found across 25% of the country. The maximum continentality with a score of 71.5 has been found in the eastern Anatolia. Furthermore, semi-dry areas were increasing in the 1991-2006 period compared to 1960-1990. A significant correlation was found between the values of the JC index and the KOI. The JC index gives reasonable results for Turkey. The continental effect was found across 25% of the country. This analysis may be of benefit for the explanation of landscape characteristics and the rational utilization of water resources, agriculture and energy scenarios for the region in many areas of Turkey.

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Spatial distribution of climatic indices in northern Greece

Baltas¹

2007

Meteorological Applications

178

129

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ABSTRACT:Results of research work concerning the spatial estimation of precipitation and air temperature and the representation of different climatic indices, which assess the climate of a region in northern Greece, are reported. The climatic indices used were the Johansson Continentality Index, the Kerner Oceanity Index, the De Martonne Aridity Index and the Pinna Combinative Index. Data from 15 meteorological stations located in northern Greece during the period 1965-1995 were analysed and processed on a monthly basis and graphs of precipitation and temperature were constructed for use in agricultural applications. Köppen's classification was also investigated for the 15 stations. GIS interpolation techniques, such as the inverse distance weighted (IDW) function, were used for the areal estimation of the above mentioned parameters in northern Greece and an evaluation of the climate indices was made, based on the results.

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Use of direct gradient analysis to study the climate-vegetation relationships in Galicia, Spain

Cited by 11 publications

References 19 publications

Contribution to the study of climate change in Serbia using continentality, oceanity, and aridity indices

Contribution to the study of climate change in Serbia using continentality, oceanity, and aridity indices

Spatial variations of climate indices in Turkey

Spatial distribution of climatic indices in northern Greece

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