In-stream wetland deposits, megadroughts, and cultural change in the northern Atacama Desert, Chile

AbstractA key concern regarding current and future climate change is the possibility of sustained droughts that can have profound impacts on societies. As such, multiple paleoclimatic proxies are needed to identify megadroughts, the synoptic climatology responsible for these droughts, and their impacts on past and future societies. In the hyperarid Atacama Desert of northern Chile, many streams are characterized by perennial flow and support dense in-stream wetlands. These streams possess sequences of wetland deposits as fluvial terraces that record past changes in the water table. We mapped and radiocarbon dated a well-preserved sequence of in-stream wetland deposits along a 4.3-km reach of the Río San Salvador in the Calama basin to determine the relationship between regional climate change and the incision of in-stream wetlands. The Río San Salvador supported dense wetlands from 11.1 to 9.8, 6.4 to 3.5, 2.8 to 1.3, and 1.0 to 0.5 ka and incised at the end of each of these intervals. Comparison with other in-stream wetland sequences in the Atacama Desert, and with regional paleoclimatic archives, indicates that in-stream wetlands responded similarly to climatic changes by incising during periods of extended drought at ~9.8, 3.5, 1.3, and 0.5 ka.

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A Preliminary Study on the Relationship between Vegetation Cover and Regional Climate Change in Jiangsu Area of China

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.448-453.916 ◽

2013 ◽

Vol 448-453 ◽

pp. 916-922

Author(s):

Yan Rong Yang ◽

Zhe Kong ◽

Chun Ming Liu

Keyword(s):

Climate Change ◽

Vegetation Cover ◽

Vegetation Index ◽

Climate Model ◽

Regional Climate ◽

Precipitation Amount ◽

Regional Climate Change ◽

Research Field ◽

Research Fields ◽

The Relationship

The relationship between vegetation cover and climate change is one of the most important research fields in global change. Herein Jiangsu province and thereabout in China is chosen to be the research field. Under the support of observations from normalized differential vegetation index (NDVI) during years from 1998 to 2008 and corresponding benchmark weather stations, the relationship between vegetation and climate change had been analyzed combined with simulations from regional climate model RegCM3, in perspectives of point vegetation cover amount and area vegetation cover type respectively. Conclusions are: (1) Points observations showed that NDVI had positive correlation with annual total precipitation and negative correlation with annual average temperature. (2) Area simulations showed that two different vegetation types in south and north Jiangsu almost had same 8warming value, but the incremental annual precipitation amount is more significant in south Jiangsu.

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Early emergence in a butterfly causally linked to anthropogenic warming

Biology Letters ◽

10.1098/rsbl.2010.0053 ◽

2010 ◽

Vol 6 (5) ◽

pp. 674-677 ◽

Cited By ~ 53

Author(s):

Michael R. Kearney ◽

Natalie J. Briscoe ◽

David J. Karoly ◽

Warren P. Porter ◽

Melanie Norgate ◽

...

Keyword(s):

Climate Change ◽

Climate Model ◽

Global Climate ◽

Global Climate Model ◽

Regional Climate ◽

Climate Change Impacts ◽

Regional Climate Change ◽

Future Climate Change ◽

Climate Data ◽

Regional Warming

There is strong correlative evidence that human-induced climate warming is contributing to changes in the timing of natural events. Firm attribution, however, requires cause-and-effect links between observed climate change and altered phenology, together with statistical confidence that observed regional climate change is anthropogenic. We provide evidence for phenological shifts in the butterfly Heteronympha merope in response to regional warming in the southeast Australian city of Melbourne. The mean emergence date for H. merope has shifted −1.5 days per decade over a 65-year period with a concurrent increase in local air temperatures of approximately 0.16°C per decade. We used a physiologically based model of climatic influences on development, together with statistical analyses of climate data and global climate model projections, to attribute the response of H. merope to anthropogenic warming. Such mechanistic analyses of phenological responses to climate improve our ability to forecast future climate change impacts on biodiversity.

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Current regional climate change studies in Hungary : a review

Geographica Helvetica ◽

10.5194/gh-54-138-1999 ◽

1999 ◽

Vol 54 (3) ◽

pp. 138-146 ◽

Cited By ~ 2

Author(s):

I. Matyasovszky ◽

T. Weidinger ◽

J. Bartholy ◽

Z. Barcza

Keyword(s):

Climate Change ◽

Greenhouse Gases ◽

Global Climate Change ◽

Global Climate ◽

Regional Climate ◽

Regional Climate Change ◽

Future Climate Change ◽

Local Effects ◽

Temperature And Precipitation ◽

Empirical Downscaling

Abstract. After focusing on the changes in Hungarian temperature and preeipitation during this Century, possible hydrological, agricultural and ecological consequences of a future climate change are described. These results have been obtained using a modified version of empirical downscaling techniques, developed to analyse the local effects of global climate change in a twofold concentration of atmospheric greenhouse gases scenario. In addition, regional changes in temperature and precipitation were examined with the help of the more specific stochastic downscaling method. The climate of Hungary has become warmer and drier over the last Century. It is to be expected that an increasing concentration of atmospheric greenhouse gases will enhance the tendency towards aridification.

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GPS Time Series as Proxies for Regional Climate Change

Proceedings of the 31st International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2018) ◽

10.33012/2018.16088 ◽

2018 ◽

Author(s):

Shimon Wdowinski

Keyword(s):

Climate Change ◽

Time Series ◽

Regional Climate ◽

Regional Climate Change ◽

Gps Time Series

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Incorrect Asian aerosols affecting the attribution and projection of regional climate change in CMIP6 models

npj Climate and Atmospheric Science ◽

10.1038/s41612-020-00159-2 ◽

2021 ◽

Vol 4 (1) ◽

Author(s):

Zhili Wang ◽

Lei Lin ◽

Yangyang Xu ◽

Huizheng Che ◽

Xiaoye Zhang ◽

...

Keyword(s):

Climate Change ◽

Radiative Forcing ◽

Impact Analysis ◽

Climate Model ◽

Regional Climate ◽

Eastern China ◽

Coupled Model ◽

Regional Climate Change ◽

Anthropogenic Aerosol ◽

Wide Range

AbstractAnthropogenic aerosol (AA) forcing has been shown as a critical driver of climate change over Asia since the mid-20th century. Here we show that almost all Coupled Model Intercomparison Project Phase 6 (CMIP6) models fail to capture the observed dipole pattern of aerosol optical depth (AOD) trends over Asia during 2006–2014, last decade of CMIP6 historical simulation, due to an opposite trend over eastern China compared with observations. The incorrect AOD trend over China is attributed to problematic AA emissions adopted by CMIP6. There are obvious differences in simulated regional aerosol radiative forcing and temperature responses over Asia when using two different emissions inventories (one adopted by CMIP6; the other from Peking university, a more trustworthy inventory) to driving a global aerosol-climate model separately. We further show that some widely adopted CMIP6 pathways (after 2015) also significantly underestimate the more recent decline in AA emissions over China. These flaws may bring about errors to the CMIP6-based regional climate attribution over Asia for the last two decades and projection for the next few decades, previously anticipated to inform a wide range of impact analysis.

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Regional Climate Change Competitiveness—Modelling Approach

Energies ◽

10.3390/en14123704 ◽

2021 ◽

Vol 14 (12) ◽

pp. 3704

Author(s):

Agnieszka Karman ◽

Andrzej Miszczuk ◽

Urszula Bronisz

Keyword(s):

Climate Change ◽

Regional Climate ◽

Regional Climate Change ◽

Measurement Scale ◽

Practical Application ◽

Adaptation To Climate Change ◽

Regional Competitiveness ◽

The Face ◽

Competitiveness Index ◽

Modelling Approach

The article deals with the competitiveness of regions in the face of climate change. The aim was to present the concept of measuring the Regional Climate Change Competitiveness Index. We used a comparative and logical analysis of the concept of regional competitiveness and heuristic conceptual methods to construct the index and measurement scale. The structure of the index includes six broad sub-indexes: Basic, Natural, Efficiency, Innovation, Sectoral, Social, and 89 indicators. A practical application of the model was presented for the Mazowieckie province in Poland. This allowed the region’s performance in the context of climate change to be presented, and regional weaknesses in the process of adaptation to climate change to be identified. The conclusions of the research confirm the possibility of applying the Regional Climate Change Competitiveness Index in the economic analysis and strategic planning. The presented model constitutes one of the earliest tools for the evaluation of climate change competitiveness at a regional level.

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