Influence of spatial information resolution on the relation between elevation and temperature

Joly, Daniel; Castel, Thierry; Pohl, Benjamin; Richard, Yves

doi:10.1002/joc.5771

Cited by 9 publications

(5 citation statements)

References 30 publications

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“…Even if the territory is limited in surface, there are considerable regional variations due to the different exposure of slopes and the presence of large lakes, which exert some mitigating effects (Joly et al 2018). Swiss Alps show close parallels with the French Alps, where snow maxima are centred along the first mountain range exposed to predominating north-westerly currents (cold and wet).…”

Section: Study Areamentioning

confidence: 99%

Reconstruction of snow days based on monthly climate indicators in the Swiss pre-alpine region

Diodato¹,

Fratianni

Bellocchi

2020

Reg Environ Change

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Landscape and climate change interactions are considerably interrelated in mountainous area, where unsuitable or discontinuous surface meteorological variables constitute an impediment to the generation of homogeneous ecological and hydrological data, and may hinder long-term environmental studies. We developed a non-linear multivariate regression model (NLMRM) estimating snow days per year (SDY) in a focus area, the northern Swiss pre-alpine region (SPAR). The model was calibrated and assessed by using measured SDY data and other climatic variables in the period 1931-2006, and then used to estimate SDY for a longer period earlier than 1931. The extended series (1836-2017) showed a significant decrease of SDY passing from about 36 days year −1 in 1836-1943 to 29.9 days year −1 in 1944-2017, on average. This indicates that while warming is the major factor driving the SDY decrease recently observed in the study area, other processes related to local precipitation and large-scale climatic patterns emerge from our century-long perspective as important drivers of SDYvariability in the Swiss pre-alpine region.

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Section: Study Areamentioning

confidence: 99%

Reconstruction of snow days based on monthly climate indicators in the Swiss pre-alpine region

Diodato¹,

Fratianni

Bellocchi

2020

Reg Environ Change

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“…According to McCutchan and Fox and Joly et al an increase in elevation results in a linear decrease in temperature, which has a significant impact on the distribution of living organisms 59 , 60 . Our study found that three species are distributed in the slopes of the mountainous regions in the Caspian Sea, and Iraniano-Turanian regions, particularly in well-drained soils 31 .…”

Section: Discussionmentioning

confidence: 99%

Habitat potential modelling and the effect of climate change on the current and future distribution of three Thymus species in Iran using MaxEnt

Hosseini,

Ghorbanpour,

Mostafavi

2024

Sci Rep

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Over the course of a few decades, climate change has caused a rapid and alarming reshaping of species habitats, resulting in mass extinction, particularly among sensitive species. In order to investigate the effects of climate change on species distribution and assess habitat suitability, researchers have developed species distribution models (SDMs) that estimate present and future species distribution. In West Asia, thyme species such as T. fedtschenkoi, T. pubescens, and T. transcaucasicus are rich in thymol and carvacrol, and are commonly used as herbal tea, spice, flavoring agents, and medicinal plants. This study aims to model the distribution of these Thymus species in Iran using the MaxEnt model under two representative concentration pathways (RCP 4.5 and RCP 8.5) for the years 2050 and 2070. The objective is to identify the crucial bioclimatic (n = 5), edaphic (n = 1), and topographic (n = 3) variables that influence their distribution and predict how their distribution might change under various climate scenarios. The findings reveal that the most significant variable affecting T. fedtschenkoi and T. pubescens is altitude, while soil organic carbon content is the primary factor influencing the distribution of T. transcaucasicus. The MaxEnt modeling demonstrates excellent performance, as indicated by all the area under the curve (AUC) values exceeding 0.9. Based on the projections, it is expected that these three thyme species will experience negative area changes in the coming years. These results can serve as a valuable tool for developing adaptive management strategies aimed at enhancing protection and sustainable utilization in the context of global climate change. Special attention should be given to conserving T. fedtschenkoi, T. pubescens, and T. transcaucasicus due to their significant habitat loss in the future.

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“…Previous studies have found that elevation also has an important effect on the temperature distribution (Joly et al, 2018;Li et al, 2013); therefore, we utilized Anusplin 4.2 (Centre for Resource and Environmental Studies, Australian National University, Canberra), a method that takes elevation into consideration, to process the spatial interpolations of temperature at a 1 km resolution during 1980-2015 (Ye et al, 2020).…”

Section: Calculation Of Extreme Temperature Indicesmentioning

confidence: 99%

Variability in temperature extremes across the Tibetan Plateau and its non-uniform responses to different ENSO types

et al. 2023

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The variability of extreme temperatures has an important in uence on the sensitive ecosystem and human activities on the Tibetan Plateau (TP). Nevertheless, the uncertainties of different El Niño-Southern Oscillation (ENSO) effects on extreme temperatures on the TP are poorly understood. Thus, this study focuses on variations in temperature extremes across the TP during 1980-2015 based on the daily maximum temperature, and minimum temperature. Then, we quantitatively examined the different effects of different ENSO types and related large-scale atmospheric circulation variables on the changes in temperature extremes. The results show that more intense and more frequent warm extremes, less intense and less frequent cold extremes were observed from 1980 to 2015. It was observed that cold extremes exhibited signi cant variations. In particular, the area with a signi cant increase in the minimum daily minimum temperature accounted for 72% of the area of the TP. Moreover, our results also suggested that there was an asymmetric relationship between temperature extremes and different ENSO types (the Eastern Paci c (EP) and Central Paci c (CP) ENSO events). especially the signi cant increase of cold extreme during EP El Niño episodes (slopes of frequency and intensity of cold extremes were 6.58 and -1.03). In addition, the different ENSO types had a zonal in uence on temperature extreme variability on the TP through the modulation of large-scale atmospheric circulation. The changes in the intensity and frequency of the extreme warm events on the southeastern TP were distinct during the EP E1 Niño years, while the extreme warm events during the CP E1 Niño years tended to occur more frequently on the central of TP. Furthermore, the cold extremes over the western TP have experienced decreasing trends in EP La Niña years, while the frequency of warm extremes increased. The geopotential height anomaly and cyclonic circulation anomaly in the CP La Niña years enhanced cold extremes on the northeastern TP. In conclusion, within the context of the global warming, the different ENSO types are critical factor that in uences temperature extremes on the TP due to these non-uniform responses of atmospheric circulation. This study provided some insight for understanding the dynamics of regional extreme temperatures in different ENSO episodes.

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Influence of spatial information resolution on the relation between elevation and temperature

Cited by 9 publications

References 30 publications

Reconstruction of snow days based on monthly climate indicators in the Swiss pre-alpine region

Reconstruction of snow days based on monthly climate indicators in the Swiss pre-alpine region

Habitat potential modelling and the effect of climate change on the current and future distribution of three Thymus species in Iran using MaxEnt

Variability in temperature extremes across the Tibetan Plateau and its non-uniform responses to different ENSO types

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