scholarly journals Impact of Climate Change on Wine Tourism: An Approach through Social Media Data

2021 ◽  
Vol 13 (13) ◽  
pp. 7489
Author(s):  
Veronica Alampi Sottini ◽  
Elena Barbierato ◽  
Iacopo Bernetti ◽  
Irene Capecchi
Keyword(s):  
Climate Change ◽  
Global Climate ◽  
Additive Model ◽  
Climatic Conditions ◽  
Climate Data ◽  
Public And Private ◽  
Wine Tourism ◽  
Public And Private Stakeholders ◽  
Using Data ◽  
Tourism Flows

Wine tourism is one of the best opportunities for rural development, but because it is partially exposed to climatic conditions, it is a climate-vulnerable tourism activity. However, an understanding of the potential impacts of global climate change on this popular activity remains limited. This study proposes a new methodology that combines current daily gridded climate data from the E-OBS project with big spatiotemporal data from the Flickr photo-sharing platform through a generalized additive model This methodology was implemented to study the potential impacts on tourism flows due to climate change and to make predictions about the future using data from the CMIP5 project. We applied the methodology to 5 European wine tourism regions: Alsace (FR), Chianti (IT), La Rioja (SP), Langhe-Monferrato (IT), and Moselle (DE). Results show an increased probability of presence and increased deseasonalization of tourism in all study areas and an anticipation of peak presence from summer to spring in three of the five regions. We believe that these results can be useful for public and private stakeholders to adapt the offer of wine tourism services to changes in demand and to direct the organization of events such as festivals and thematic tours.

scholarly journals Evaluating the Tourist Climate Comfortable Period of China in a Changing Climate

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Dan-Dan Yu ◽  
Shan Li ◽  
Zhong-Yang Guo
Keyword(s):  
Climate Change ◽  
Global Climate ◽  
Scientific Evidence ◽  
Climatic Conditions ◽  
Climate Index ◽  
Climate Indices ◽  
Climate Data ◽  
Climate Conditions ◽  
Positive Effects ◽  
Changing Climate

The evaluation of climate comfort for tourism can provide information for tourists selecting destinations and tourism operators. Understanding how climate conditions for tourism evolve is increasingly important for strategic tourism planning, particularly in rapidly developing tourism markets like China in a changing climate. Multidimensional climate indices are needed to evaluate climate for tourism, and previous studies in China have used the much criticized “climate index” with low resolution climate data. This study uses the Holiday Climate Index (HCI) and daily data from 775 weather stations to examine interregional differences in the tourist climate comfortable period (TCCP) across China and summarizes the spatiotemporal evolution of TCCP from 1981 to 2010 in a changing climate. Overall, most areas in China have an “excellent” climate for tourism, such that tourists may visit anytime with many choices available. The TCCP in most regions shows an increasing trend, and China benefits more from positive effects of climate change in climatic conditions for tourism, especially in spring and autumn. These results can provide some scientific evidence for understanding human settlement environmental constructions and further contribute in improving local or regional resilience responding to global climate change.

scholarly journals Climate Data to Undertake Hygrothermal and Whole Building Simulations Under Projected Climate Change Influences for 11 Canadian Cities

Data ◽  
2019 ◽  
Vol 4 (2) ◽  
pp. 72 ◽  
Author(s):  
Abhishek Gaur ◽  
Michael Lacasse ◽  
Marianne Armstrong
Keyword(s):  
Climate Change ◽  
Snow Cover ◽  
Climate Model ◽  
Global Climate ◽  
Global Climate Model ◽  
Internal Variability ◽  
Climatic Conditions ◽  
Climate Data ◽  
Wide Range ◽  
The Future

Buildings and homes in Canada will be exposed to unprecedented climatic conditions in the future as a consequence of global climate change. To improve the climate resiliency of existing and new buildings, it is important to evaluate their performance over current and projected future climates. Hygrothermal and whole building simulation models, which are important tools for assessing performance, require continuous climate records at high temporal frequencies of a wide range of climate variables for input into the kinds of models that relate to solar radiation, cloud-cover, wind, humidity, rainfall, temperature, and snow-cover. In this study, climate data that can be used to assess the performance of building envelopes under current and projected future climates, concurrent with 2 °C and 3.5 °C increases in global temperatures, are generated for 11 major Canadian cities. The datasets capture the internal variability of the climate as they are comprised of 15 realizations of the future climate generated by dynamically downscaling future projections from the CanESM2 global climate model and thereafter bias-corrected with reference to observations. An assessment of the bias-corrected projections suggests, as a consequence of global warming, future increases in the temperatures and precipitation, and decreases in the snow-cover and wind-speed for all cities.

scholarly journals Climate-sensitive site index models for Norway

2016 ◽  
Vol 46 (6) ◽  
pp. 794-803 ◽  
Author(s):  
Clara Antón-Fernández ◽  
Blas Mola-Yudego ◽  
Lise Dalsgaard ◽  
Rasmus Astrup
Keyword(s):  
Climate Change ◽  
Site Index ◽  
National Forest Inventory ◽  
Climatic Conditions ◽  
Site Quality ◽  
Climate Change Scenarios ◽  
Climate Data ◽  
Intergovernmental Panel ◽  
Potential Component ◽  
Using Data

The present study aims to develop biologically sound and parsimonious site index models for Norway to predict changes in site index (SI) under different climatic conditions. The models are constructed using data from the Norwegian National Forest Inventory and climate data from the Norwegian meteorological institute. Site index was modeled using the potential modifier functional form, with a potential component (POT) depending on site quality classes and two modifier components (MOD): temperature and moisture. Each of these modifiers was based on a portfolio of candidate variables. The best model for spruce-dominated stands included temperature as modifier (R2= 0.56). In the case of pine- and deciduous-dominated stands, the best models included both modifiers (R2= 0.40 and 0.54 for temperature and moisture, respectively). We illustrate the use of the models by analyzing the possible shift in SI for year 2100 under one (RCP4.5) of the benchmark scenarios adopted by the Intergovernmental Panel on Climate Change for its fifth assessment report. The models presented can be valuable for evaluating the effect of climate change scenarios in Norwegian forests.

Advances in the data rescue and digitization of historical wind speed observations in Sweden: the WINDGUST project

2021 ◽  
Author(s):  
Erik Engström ◽  
Cesar Azorin-Molina ◽  
Lennart Wern ◽  
Sverker Hellström ◽  
Christophe Sturm ◽  
...  
Keyword(s):  
Climate Change ◽  
Wind Speed ◽  
Global Climate ◽  
Current Status ◽  
Weather Data ◽  
Climate Data ◽  
Intergovernmental Panel ◽  
Staff Members ◽  
The 1960S

<p>Here we present the progress of the first work package (WP1) of the project “Assessing centennial wind speed variability from a historical weather data rescue project in Sweden” (WINDGUST), funded by FORMAS – A Swedish Research Council for Sustainable Development (ref. 2019-00509); previously introduced in EGU2019-17792-1 and EGU2020-3491. In a global climate change, one of the major uncertainties on the causes driving the climate variability of winds (i.e., the “stilling” phenomenon and the recent “recovery” since the 2010s) is mainly due to short availability (i.e., since the 1960s) and low quality of observed wind records as stated by the Fifth Assessment Report (AR5) of the Intergovernmental Panel on Climate Change (IPCC).</p><p>The WINDGUST is a joint initiative between the Swedish Meteorological and Hydrological Institute (SMHI) and the University of Gothenburg aimed at filling the key gap of short availability and low quality of wind datasets, and improve the limited knowledge on the causes driving wind speed variability in a changing climate across Sweden.</p><p>During 2020, we worked in WP1 to rescue historical wind speed series available in the old weather archives at SMHI for the 1920s-1930s. In the process we followed the “Guidelines on Best Practices for Climate Data Rescue” of the World Meteorological Organization. Our protocol consisted on: (i) designing a template for digitization; (ii) digitizing papers by an imaging process based on scanning and photographs; and (iii) typing numbers of wind speed data into the template. We will report the advances and current status, challenges and experiences learned during the development of WP1. Until new year 2020/2021 eight out of thirteen selected stations spanning over the years 1925 to 1948 have been scanned and digitized by three staff members of SMHI during 1,660 manhours.</p>

scholarly journals The Effects of Soil Drying Out and Rewetting on Nitrogen and Carbon Leaching—Results of a Long-Term Lysimeter Experiment

Water ◽  
2021 ◽  
Vol 13 (18) ◽  
pp. 2601
Author(s):  
Holger Rupp ◽  
Nadine Tauchnitz ◽  
Ralph Meissner
Keyword(s):  
Climate Change ◽  
Best Management Practices ◽  
Management Practices ◽  
Global Climate ◽  
Significant Risk ◽  
Climatic Conditions ◽  
Leaching Losses ◽  
Lysimeter Experiment ◽  
Nitrogen Concentrations ◽  
Northeastern Germany

As a result of global climate change, heavy rainfall events and dry periods are increasingly occurring in Germany, with consequences for the water and solute balance of soils to be expected. The effects of climate change on nitrogen and carbon leaching were investigated using 21 non-weighable manually filled lysimeters of the UFZ lysimeter facility Falkenberg, which have been managed since 1991 according to the principles of the best management practices and organic farming. Based on a 29-year dataset (precipitation, evaporation, leachate, nitrate and dissolved organic carbon concentrations), the lysimeter years 1995/96, 2018/19, and 2003/04 were identified as extremely dry years. Under the climatic conditions in northeastern Germany, seepage fluxes were disrupted in these dry years. The reoccurrence of seepage was associated with exceptionally high nitrogen concentrations and leaching losses, which exceeded the current drinking water limits by many times and may result in a significant risk to water quality. In contrast, increased DOC leaching losses occurred primarily as a result of increased seepage fluxes.

scholarly journals Evolved phenological cueing strategies show variable responses to climate change

2018 ◽  
Author(s):  
Collin B. Edwards ◽  
Louie Yang
Keyword(s):  
Climate Change ◽  
Climatic Conditions ◽  
Similar Response ◽  
Climate Data ◽  
Global Pattern ◽  
Continental Scale ◽  
Fitness Consequences ◽  
Wide Range ◽  
Correlation Structures ◽  
Phenological Shifts

AbstractSeveral studies have documented a global pattern of phenological advancement that is consistent with ongoing climate change. However, the magnitude of these phenological shifts is highly variable across taxa and locations. This variability of phenological responses has been difficult to explain mechanistically. To examine how the evolution of multi-trait cueing strategies could produce variable responses to climate change, we constructed a model in which organisms evolve strategies that integrate multiple environmental cues to inform anticipatory phenological decisions. We simulated the evolution of phenological cueing strategies in multiple environments, using historic climate data from 78 locations in North America and Hawaii to capture features of climatic correlation structures in the real world. Organisms in our model evolved diverse strategies that were spatially autocorrelated across locations on a continental scale, showing that similar strategies tend to evolve in similar climates. Within locations, organisms often evolved a wide range of strategies that showed similar response phenotypes and fitness outcomes under historical conditions. However, these strategies responded differently to novel climatic conditions, with variable fitness consequences. Our model shows how the evolution of phenological cueing strategies can explain observed variation in phenological shifts and unexpected responses to climate change.

scholarly journals Juxtaposing Farmers’ Suicides and Climate Change Vulnerability: An Empirical Analysis of Indian States

2021 ◽  
Vol 9 (1) ◽  
pp. 66-79
Author(s):  
Sridevi Gummadi ◽  
Amalendu Jyotishi ◽  
G Jagadeesh
Keyword(s):  
Climate Change ◽  
Global Climate ◽  
Risk Index ◽  
Strong Association ◽  
Vulnerability Index ◽  
Indian States ◽  
Climate Change Vulnerability ◽  
Climate Risks ◽  
Using Data ◽  
Comprehensive Study

India’s overall ranking on the Global Climate Risk Index has been deteriorating in recent years, making it more vulnerable to climate risks. It has been indicated in the literature that climate change is also associated with agrarian distress. However, empirical analyses are scanty on this, especially in the Indian context. In this analytical exercise, we tried to explore the association between farmers’ suicides and climate change vulnerability across Indian states. Using data from various sources, we arrive at an Agrarian Vulnerability Index and juxtaposed that with farmers’ suicide data between 1996 to 2015 collected from the National Crime Records Bureau (NCRB). We noted a strong association between climate change vulnerability and farmers’ suicides. The essence of this analysis is to indicate and understand the broad trends and associations. This research, in the process, informs and presses for a systematic, more comprehensive study with an agenda at micro and meso levels to understand the nuances of this association. Submitted: 01 November 2020; Revised: 11 January 2021; Accepted: 29 April 2021

DATA ANALYTICS FOR CLIMATE AND ATMOSPHERIC SCIENCE

2021 ◽  
pp. 2150005
Author(s):  
STAVROS DEMERTZIS ◽  
VASILIKI DEMERTZI ◽  
KONSTANTINOS DEMERTZIS
Keyword(s):  
Climate Change ◽  
Air Pollution ◽  
Data Analytics ◽  
Global Climate ◽  
Anthropogenic Activities ◽  
Atmospheric Science ◽  
Climatic Conditions ◽  
Future Climate Change ◽  
Rivers And Lakes ◽  
Atmospheric Concentrations

Global climate change has already had observable effects on the environment. Glaciers have shrunk, ice on rivers and lakes is breaking up earlier, plant and animal ranges have shifted and trees are flowering sooner. Under these conditions, air pollution is likely to reach levels that create undesirable living conditions. Anthropogenic activities, such as industry, release large amounts of greenhouse gases into the atmosphere, increasing the atmospheric concentrations of these gases, thus significantly enhancing the greenhouse effect, which has the effect of increasing air heat and thus the speedup of climate change. The use of sophisticated data analysis methods to identify the causes of extreme pollutant values, the correlation of these values with the general climatic conditions and the general malfunctions that can be caused by prolonged air pollution can give a clear picture of current and future climate change. This paper presents a thorough study of preprocessing steps of data analytics and the appropriate big data architectures that are appropriate for the research study of Climate Change and Atmospheric Science.

scholarly journals Attitude of the farmers towards climate change effect on agriculture

2015 ◽  
Vol 1 (2) ◽  
pp. 367-379
Author(s):  
Md Rakibul Islam ◽  
Md Jamil Hossain Biswas ◽  
Md Golam Rabbani Akanda ◽  
Md Ruhul Amin ◽  
Imam Mehedi Hasan ◽  
...  
Keyword(s):  
Climate Change ◽  
Global Climate ◽  
Research Work ◽  
Coastal Region ◽  
Study Data ◽  
Climatic Conditions ◽  
Farm Size ◽  
Favourable Attitude ◽  
Change Effect ◽  
Climate Change Effect

Global climate change has triggered the increased incidence of extreme disasters like cyclone, flood, soil salinity, etc. in the coastal region of Bangladesh. In the recent past, an amplified number of fatalities happened and the greater impact also acted upon the attitude of coastal people. Badarpur Union under Patuakhali Sadar upazila of Patuakhali District was the selected locale of the concerned study. Data for this research work were personally collected from a randomly sampled 121 farmers from different villages of Badarpur union by using an interview schedule. Attitude of the farmers was ascertained through a five-point-Likert type scale. Co-efficient of correlation (r) was computed to explore the relationships between farmers? attitude and their selected characteristics. The findings revealed that 51.2 percent of the farmers had moderately favourable attitude towards climate change effect while 42.1 percent had slightly favourable and 6.6 percent had highly favourable attitude. The correlation test showed that the education, farming experience, farm size, annual income, training received and agricultural knowledge had positive significant relationships with farmers? attitude towards climate change effect on agriculture while the rest of the characteristics had no relationship in the present study. The focus findings of the present study were that, the attitude of the farmers is changing due to changes in the climatic conditions and there was a positive effect of it on agriculture.Asian J. Med. Biol. Res. June 2015, 1(2): 367-379

scholarly journals Phenotypic plasticity of stomatal and photosynthetic features of four Picea species in two contrasting common gardens

AoB Plants ◽  
2019 ◽  
Vol 11 (4) ◽  
Author(s):  
Ming Hao Wang ◽  
Jing Ru Wang ◽  
Xiao Wei Zhang ◽  
Ai Ping Zhang ◽  
Shan Sun ◽  
...  
Keyword(s):  
Climate Change ◽  
Phenotypic Plasticity ◽  
Global Climate ◽  
Physiological Activity ◽  
Climatic Conditions ◽  
Leaf Mass Per Area ◽  
Picea Crassifolia ◽  
Common Gardens ◽  
Picea Species ◽  
The Impact

Abstract Global climate change is expected to affect mountain ecosystems significantly. Phenotypic plasticity, the ability of any genotype to produce a variety of phenotypes under different environmental conditions, is critical in determining the ability of species to acclimate to current climatic changes. Here, to simulate the impact of climate change, we compared the physiology of species of the genus Picea from different provenances and climatic conditions and quantified their phenotypic plasticity index (PPI) in two contrasting common gardens (dry vs. wet), and then considered phenotypic plastic effects on their future adaptation. The mean PPI of the photosynthetic features studied was higher than that of the stomatal features. Species grown in the arid and humid common gardens were differentiated: the stomatal length (SL) and width (SW) on the adaxial surface, the transpiration rate (Tr) and leaf mass per area (LMA) were more highly correlated with rainfall than other traits. There were no significant relationships between the observed plasticity and the species’ original habitat, except in P. crassifolia (from an arid habitat) and P. asperata (from a humid habitat). Picea crassifolia exhibited enhanced instantaneous efficiency of water use (PPI = 0.52) and the ratio of photosynthesis to respiration (PPI = 0.10) remained constant; this species was, therefore, considered to the one best able to acclimate when faced with the effects of climate change. The other three species exhibited reduced physiological activity when exposed to water limitation. These findings indicate how climate change affects the potential roles of plasticity in determining plant physiology, and provide a basis for future reforestation efforts in China.

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