scholarly journals A 324-years temperature reconstruction from Pinus latteri Mason at highland in Chiang Mai Province, Thailand

2020 ◽  
Vol 21 (9) ◽  
Author(s):  
Pichit Lumyai ◽  
KITSADAPAN PALAKIT ◽  
KHWANCHAI DUANGSATHAPORN ◽  
KOBSAK WANTHONGCHAI
Keyword(s):  
Southern Oscillation ◽  
Ring Width ◽  
Temperature Reconstruction ◽  
Maximum Temperature ◽  
Climate Data ◽  
Chiang Mai ◽  
Average Monthly Temperature ◽  
Monthly Temperature ◽  
Chiang Mai Province ◽  
The Relationship

Abstract. Lumyai P, Palakit K, Suangsathaporn K, Wanthongchai K. 2020. A 324-years temperature reconstruction from Pinus latteri Mason at highland in Chiang Mai Province, Thailand. Biodiversitas 21: 3938-3945.  The objective of this study was to investigate the relationship between the growth of Pinus latteri and climate data in Chiang Mai Province, Thailand. Dendrochronological techniques were used to analyze 35 sample cores. The cross dated ring width data could be extended back for up to 324 years (1692-2015). The relationship between ring-width index and climate data indicated a significant correlation (p < 0.01) with the monthly rainfall in January, monthly temperature in August and September, extreme maximum temperature in August and mean maximum temperature in March and August. The reconstructed average monthly temperature in August was estimated at around  27.35 °C, a warming period could have occurred in 1694-1702, 1834-1844, 1848-1866, 1873-1876, 1884-1890, 1896-1902, 1911-1927, 1942-1958, and 1986-1990, with cooling periods occurring in 1703-1722, 1739-1752, 1865-1872, 1877-1883, 1891-1895, 1903-1910, 1928-1941, 1959-1961, and 1968-1970, which could explain the high fluctuations in temperature. Periods in the range 2.1-2.5, 10.1 , and 13.5 years were found to be common with the variations in  El Niño-Southern Oscillation. In conclusion, the pine growth information can be used to monitor the variations in climate in Thailand.

scholarly journals Tree-ring reconstruction of June-July mean temperatures in the northern Daxing’an Mountains, China

2020 ◽  
Vol 47 (1) ◽  
pp. 13-22
Author(s):  
Yangao Jiang ◽  
Yu Wang ◽  
Junhui Zhang ◽  
Shijie Han ◽  
Cassius E.O. Coombs ◽  
...  
Keyword(s):  
Tree Ring ◽  
Southern Oscillation ◽  
Regional Climate ◽  
Ring Width ◽  
Temperature Reconstruction ◽  
Global Scale ◽  
Spatial Correlations ◽  
Regional Study ◽  
Average Value ◽  
Daxing’An Mountains

AbstractIn this study, the mean temperature of June to July was reconstructed for the period of 1880 to 2014 by using the Larix gmelinii tree-ring width data for the Mangui region in the northern Daxing’an Mountains, China. The reconstruction accounts for 43.6% of the variance in the temperature observed from AD 1959–2014. During the last 134 years, there were 17 warm years and 17 cold years, which accounted for 12.7% of the total reconstruction years, respectively. Cold episodes occurred throughout 1887–1898 (average value is 14.2°C), while warm episodes occurred during 1994–2014 (15.9°C). Based on this regional study, the warmer events coincided with dry periods and the colder events were consistent with wet conditions. The spatial correlation analyses between the reconstructed series and gridded temperature data revealed that the regional climatic variations were well captured by this study and the reconstruction represented a regional temperature signal for the northern Daxing’an Mountains. In addition, Multi-taper method spectral analysis revealed the existence of significant periodicities in our reconstruction. Significant spectral peaks were found at 29.7, 10.9, 2.5, and 2.2 years. The significant spatial correlations between our temperature reconstruction and the El Niño–Southern Oscillation (ENSO), Pacific Decadal Oscillation (PDO) and Solar activity suggested that the temperature in the Daxing’an Mountains area indicated both local-regional climate signals and global-scale climate changes.

Multi-Century Spring Flood Reconstruction in Eastern Boreal Canada from Novel Application of Wood-Cell Anatomy

2020 ◽  
Author(s):  
Alexandre Florent Nolin ◽  
Jacques C. Tardif ◽  
France Conciatori ◽  
David M. Meko ◽  
Yves Bergeron
Keyword(s):  
Southern Oscillation ◽  
Ring Width ◽  
Ice Age ◽  
Maximum Temperature ◽  
Spring Flood ◽  
Time Frequency ◽  
Riparian Trees ◽  
Replicated Observations ◽  
Spring Flow ◽  
Flood Rings

&lt;p&gt;The streamflow regimes of eastern boreal Canada are snow-melt and ice-melt driven with the highest flows occurring in spring. Over the last few decades, a positive streamflow trend has been observed, with increasing severity and frequency of spring flooding. Further changes in flood dynamics are projected as a consequence of global climate change. The validity of projections is restricted by the lack of long and spatially well-replicated observations. High-resolution proxy records are needed to better understand the natural range of variability in spring runoff and associated atmospheric controls.&lt;/p&gt;&lt;p&gt;Recent research has shown that riparian black ash trees (Fraxinus nigra Marsh.) exposed to periodic submersion produce &amp;#8220;flood rings&amp;#8221; whose earlywood cross-sectional vessel area is linearly associated with the severity of flooding. Twelve continuous chronologies of ring width and earlywood vessel anatomy were developed for Lake Duparquet to extend the record of Harricana River mean spring flow. A visually determined index of flood rings was also developed to determine i) the spatial coherency of the spring flood signal and ii) the coherency of the flood signal among natural, regulated and unflooded rivers.&lt;/p&gt;&lt;p&gt;The reconstruction spans the period 1770-2016 and captures more than 65% of the variance of Harricana river spring flow. Trend analysis indicates an increase in both magnitude and frequency of the major floods starting at the end of the Little Ice Age (LIA, 1850-1890), with highest peaks after 1950. Time-frequency analysis shows non-stationarity: a stable 30-year periodicity during the LIA is replaced by a decadal pattern starting around 1850, and evolves into a more high-frequency pattern after 1930. The signal is strongly coherent between watersheds for natural rivers and weaker for regulated basins. Field correlations with gridded climate data indicate the broad spatially coherent pattern of spring high flows across much of central/eastern north Canada is positively associated with April-May precipitation and snow cover, and negatively associated with March-April maximum temperature.&lt;/p&gt;&lt;p&gt;These large-scale associations support atmospheric forcing of inter-annual hydroclimatic variability. While the Artic and North Atlantic Oscillations have previously been found to influence winter and spring climate conditions in eastern Quebec, our results contrast with a significant negative association with El-Ni&amp;#241;o Southern Oscillation from January to May, and the Pacific Decadal Oscillation from December to February. In Lake Duparquet, warm and wet air from Pacific-South Ocean (El-Ni&amp;#241;o) are associated with early spring and small floods, while cold and dry air masses (La-Ni&amp;#241;a) correlate to late thaw and high floods in spring. The association with sea surface temperature and 200mb geopotential field heights reveal a clear atmospheric connection between eastern north boreal Canada and the tropical Pacific Ocean.&lt;/p&gt;&lt;p&gt;The novel application of wood-cell anatomy to hydroclimatology underscores an increase in flood frequency and severity since the end of the 18&lt;sup&gt;th&lt;/sup&gt; century in northeastern Canada. More broadly, the application highlights how analysis of tree rings from riparian trees can be used to extend the flood history of boreal rivers.&lt;/p&gt;

scholarly journals Spring Season in Western Nepal Himalaya is not yet Warming: A 400-Year Temperature Reconstruction Based on Tree-Ring Widths of Himalayan Hemlock (Tsuga dumosa)

Atmosphere ◽  
2020 ◽  
Vol 11 (2) ◽  
pp. 132 ◽  
Author(s):  
Sugam Aryal ◽  
Narayan Prasad Gaire ◽  
Nawa Raj Pokhrel ◽  
Prabina Rana ◽  
Basant Sharma ◽  
...  
Keyword(s):  
Tree Ring ◽  
Hydrological Cycle ◽  
Southern Oscillation ◽  
Ring Width ◽  
Volcanic Eruptions ◽  
Temperature Reconstruction ◽  
Climate Reconstruction ◽  
Nepal Himalaya ◽  
Central Nepal ◽  
Reconstructed Temperature

The Himalayan region has already witnessed profound climate changes detectable in the cryosphere and the hydrological cycle, already resulting in drastic socio-economic impacts. We developed a 619-yea-long tree-ring-width chronology from the central Nepal Himalaya, spanning the period 1399–2017 CE. However, due to low replication of the early part of the chronology, only the section after 1600 CE was used for climate reconstruction. Proxy climate relationships indicate that temperature conditions during spring (March–May) are the main forcing factor for tree growth of Tsuga dumosa at the study site. We developed a robust climate reconstruction model and reconstructed spring temperatures for the period 1600–2017 CE. Our reconstruction showed cooler conditions during 1658–1681 CE, 1705–1722 CE, 1753–1773 CE, 1796–1874 CE, 1900–1936 CE, and 1973 CE. Periods with comparably warmer conditions occurred in 1600–1625 CE, 1633–1657 CE, 1682–1704 CE, 1740–1752 CE, 1779–1795 CE, 1936–1945 CE, 1956–1972 CE, and at the beginning of the 21st century. Tropical volcanic eruptions showed only a sporadic impact on the reconstructed temperature. Also, no consistent temperature trend was evident since 1600 CE. Our temperature reconstruction showed positive teleconnections with March–May averaged gridded temperature data for far west Nepal and adjacent areas in Northwest India and on the Southwest Tibetan plateau. We found spectral periodicities of 2.75–4 and 40–65 years frequencies in our temperature reconstruction, indicating that past climate variability in central Nepal might have been influenced by large-scale climate modes, like the Atlantic Multi-decadal Oscillation, the North Atlantic Oscillation, and the El Niño-Southern Oscillation.

A 2000-year temperature reconstruction in the Animaqin Mountains of the Tibet Plateau, China

The Holocene ◽  
2016 ◽  
Vol 26 (12) ◽  
pp. 1904-1913 ◽  
Author(s):  
Feng Chen ◽  
Yong Zhang ◽  
Xuemei Shao ◽  
MingQi Li ◽  
Zhi-Yong Yin
Keyword(s):  
Ring Width ◽  
Temperature Reconstruction ◽  
Warming Trend ◽  
Tibet Plateau ◽  
Maximum Temperature ◽  
Eastern Tibetan Plateau ◽  
Recent Period ◽  
Variation Patterns ◽  
Maximum Temperatures

A 2665-year ring-width chronology was developed based on Qilian juniper from the upper treeline of the Animaqin Mountains on the eastern Tibetan Plateau. Correlation analysis results showed that the chronology was significantly negatively correlated with April–June maximum temperature at nearby meteorological stations, indicating that maximum temperature is the factor that limits tree growth in this area. Accordingly, we reconstructed the average April–June maximum temperature variations since 261 BC. Our regression model explained 37.9% of the total variance for the whole calibration period of 1960–2012. Our reconstruction revealed that the maximum temperature started to increase from approximately 1750 without a rapid warming trend, and the warmest period was from AD 890 to 947, as opposed to the recent period, whereas the period from AD 351–483 was the coldest. Significant periods in the wavelet power spectrum were approximately 2–8 years, 20–30 years, 30–60 years, and 60–130 years, as well as some long-term periods (more than 200 years). Comparisons with other temperature series from neighboring regions and the Northern Hemisphere as a whole support the validity of our reconstruction and suggest that it provides a representation of the temperature change for the Animaqin area, although asymmetric variation patterns in minimum and maximum temperatures were found.

Geographical Distribution of Cutaneous Leishmaniasis and Its Relationship With Climate Change in Southeastern Morocco

2020 ◽  
pp. 136-152
Author(s):  
Abdelkrim Ben Salem ◽  
Ahmed Karmaoui ◽  
Souad Ben Salem ◽  
Ali Ait Boughrous
Keyword(s):  
Climate Change ◽  
Cutaneous Leishmaniasis ◽  
Neglected Tropical Diseases ◽  
Climatic Factors ◽  
Interpolation Space ◽  
Climatic Conditions ◽  
Maximum Temperature ◽  
Anthropogenic Factors ◽  
Climate Data ◽  
The Relationship

The current chapter deals with one of the most neglected tropical diseases in Morocco, the cutaneous leishmaniasis. It is based on 10-year research (2010-2017) on the evolution of leishmaniasis taking climate change into account. Epidemiological and climatological data were collected from different administrations. The Geographic Information System (GIS) is chosen for interpolation, space-time analysis of climate data and map creation. The SPSS software was used for statistical analysis and to establish the relationship between Leishmaniasis and climatic conditions. Results show that the maximum number of cases is recorded in 2010 with 4,407 people affected while the low number is recorded in 2014 with 18 cases. Results also show a clear link between climatic factors and the incidence of the disease. The distribution of the disease in the province is influenced by maximum temperature, aridity, and vegetation cover. Additionally, anthropogenic factors play a significant role in explaining the emergence or re-emergence of leishmaniasis in the region.

scholarly journals Reconstruction of June–July Temperatures Based on a 233 Year Tree-Ring of Picea jezoensis var. microsperma

Forests ◽  
2019 ◽  
Vol 10 (5) ◽  
pp. 416 ◽  
Author(s):  
Yangao Jiang ◽  
Xue Yuan ◽  
Junhui Zhang ◽  
Shijie Han ◽  
Zhenju Chen ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Southern Oscillation ◽  
Ring Width ◽  
Temperature Series ◽  
Maximum Temperature ◽  
Limiting Factor ◽  
Picea Jezoensis ◽  
Study Region ◽  
Reconstructed Temperature ◽  
June July

In this study, ring-width chronology of Picea jezoensis var. microsperma from the Changbai Mountain (CBM) area, Northeast China, was constructed. Growth/climate responses suggested that mean maximum temperature (Tmax) was the limiting factor affecting radial growth of PJ trees in the study region. According to the correlation analysis between the ring-width index and meteorological data, a June–July mean maximum temperature (Tmax6–7) series between 1772 and 2004 was reconstructed by using the standard chronology. For the calibration period (1959–2004), the explained variance of the reconstruction was 41.6%. During the last 233 years, there were 36 warm years and 34 cold years, accounting for 15.5% and 14.7% of the total reconstruction years, respectively. Cold periods occurred in 1899–1913, 1955–1970, and 1975–1989, while warm periods occurred in 1881–1888. The reconstructed temperature series corresponded to the historical disaster records of extreme climatic events (e.g., drought and flood disasters) in this area. Comparisons with other temperature reconstructions from surrounding areas and spatial correlation analysis between the gridded temperature data and reconstruction series indicated that the regional climatic variations were well captured by the reconstruction. In addition, multi-taper method spectral analysis indicated the existence of significant periodicities in the reconstructed series. The significant spatial correlations between the reconstructed temperature series and the El Niño–Southern Oscillation (ENSO), solar activity, and Pacific Decadal Oscillation (PDO) suggested that the temperature in the CBM area indicated both local-regional climate signals and global-scale climate changes.

scholarly journals Influence of Climate Warming on Grapevine (Vitis vinifera L.) Phenology in Conditions of Central Europe (Slovakia)

Plants ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 1020
Author(s):  
Slavko Bernáth ◽  
Oleg Paulen ◽  
Bernard Šiška ◽  
Zuzana Kusá ◽  
František Tóth
Keyword(s):  
Vitis Vinifera ◽  
Central Europe ◽  
Maximum Temperature ◽  
Vitis Vinifera L ◽  
Average Monthly Temperature ◽  
Monthly Temperature ◽  
Average Maximum ◽  
Average Maximum Temperature ◽  
Beginning Of Flowering ◽  
The Impact

The impact of warming on the phenology of grapevine (Vitis vinifera L.) in conditions of central Europe was evaluated at the locality of Dolné Plachtince in the Slovakian wine region. In Welschriesling and Pinot Blanc model varieties, the onset of phenophases as defined in the BBCH scale over the period of 1985 to 2018 was observed. Based on the data obtained, the influence of the average and average maximum temperature and GDD on the onset of phenophases was evaluated. The results observed indicate earlier budburst by five to seven days, earlier beginning of flowering by 7 to 10 days, earlier berry softening by 18 days, and harvest dates advanced by 8 to 10 days on average. In both varieties, the highest influence of the average monthly temperature in March on budburst, the highest influence of the average monthly temperature and the average maximum temperature in May on the beginning of flowering, and the highest statistically significant influence of the average maximum temperature in June on the softening of berries was found. Warming observed in moderate climate conditions of northern wine regions in central Europe (Slovakia) has not yet caused changes in the grapevine phenology stable enough to require serious adaptation measures.

scholarly journals Influence of Climate Warming on Grapevine (Vitis vinifera L.) Phenology in Conditions of Central Europe (Slovakia)

2021 ◽  
Author(s):  
Slavko Bernáth ◽  
Oleg Paulen ◽  
Bernard Šiška ◽  
Zuzana Kusá ◽  
František Tóth
Keyword(s):  
Vitis Vinifera ◽  
Central Europe ◽  
Maximum Temperature ◽  
Vitis Vinifera L ◽  
Average Monthly Temperature ◽  
Monthly Temperature ◽  
Average Maximum ◽  
Average Maximum Temperature ◽  
Beginning Of Flowering ◽  
The Impact

The impact of warming on the phenology of grapevine (Vitis vinifera L.) in conditions of Central Europe was evaluated at the locality of Doln&eacute; Plachtince in the Slovakian wine region. In Welschriesling and Pinot Blanc model varieties there was observed onset of phenophases as defined in BBCH scale over 1985&ndash;2018 period. Based on the data obtained there was evaluated the influence of average and average maximum temperature and GDD on the onset of phenophases. The results observed indicate earlier budburst by 5&ndash;7 days, earlier beginning of flowering by 7&ndash;10 days, and earlier berry softening by 18 days, and harvest dates advanced by 8&ndash;10 days on average. In both varieties there was found the highest influence of the average monthly temperature in March on budburst, the highest influence of the average monthly temperature and the average maximum temperature in May on the beginning of flowering, and the highest, statistically significant influence of the average maximum temperature in June on grape veraison. The warming observed in moderate climate conditions of northern wine regions in Central Europe (Slovakia) has not caused yet the changes in the grapevine phenology stable enough to require serious adaptation measures.

scholarly journals Different climate response of three tree ring proxies of Pinus sylvestris from the Eastern Carpathians, Romania

2020 ◽  
Author(s):  
Viorica Nagavciuc ◽  
Cătălin-Constantin Roibu ◽  
Monica Ionita ◽  
Andrei Mursa ◽  
Mihai-Gabriel Cotos ◽  
...  
Keyword(s):  
Pinus Sylvestris ◽  
Tree Ring ◽  
Ring Width ◽  
Maximum Temperature ◽  
Daily Maximum Temperature ◽  
Daily Maximum ◽  
Climate Data ◽  
Maximum Latewood Density ◽  
Latewood Density ◽  
Eastern Carpathians

&lt;p&gt;The aim of this study was to compare the climatic responses of three tree rings proxies: tree ring width (TRW),&lt;br&gt;maximum latewood density (MXD), and blue intensity (BI). For this study, 20 cores of Pinus sylvestris covering&lt;br&gt;the period 1886&amp;#8211;2015 were extracted from living non-damaged trees from the Eastern Carpathian Mountains&lt;br&gt;(Romania). Each chronology was compared to monthly and daily climate data. All tree ring proxies had a&lt;br&gt;stronger correlation with the daily climate data compared to monthly data. The highest correlation coefficient&lt;br&gt;was obtained between the MXD chronology and daily maximum temperature over the period beginning with the&lt;br&gt;end of July and ending in the middle of September (r=0.64). The optimal intervals for the temperature signature&lt;br&gt;were 01 Aug &amp;#8211; 24 Sept for the MXD chronology, 05 Aug &amp;#8211; 25 Aug for the BI chronology, and both 16 Nov&lt;br&gt;of the previous year &amp;#8211; 16 March of the current year and 15 Apr &amp;#8211; 05 May for the TRW chronology. The results&lt;br&gt;from our study indicate that MXD can be used as a proxy indicator for summer maximum temperature, while&lt;br&gt;TRW can be used as a proxy indicator for just March maximum temperature. The weak and unstable relationship&lt;br&gt;between BI and maximum temperature indicates that BI is not a good proxy indicator for climate reconstructions&lt;br&gt;over the analysed region.&lt;/p&gt;

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