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 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 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 Predicting growth and habitat responses of Ginkgo biloba L. to climate change

2019 ◽  
Vol 76 (4) ◽  
Author(s):  
Ying Guo ◽  
Yue Lu ◽  
Yousry A. El-Kassaby ◽  
Lei Feng ◽  
Guibing Wang ◽  
...  
Keyword(s):  
Climate Change ◽  
Response Function ◽  
Ginkgo Biloba ◽  
Global Climate ◽  
Natural Populations ◽  
Tree Height ◽  
Climatic Conditions ◽  
Suitable Habitat ◽  
Climatic Response ◽  
Wide Range

Abstract Key message We developed a climatic response function using 20-year tree height observed from 45Ginkgo bilobaplantations in China and used it to predict the growth and habitat responses to anticipated climate change. We projected northward and upward shifts in the species habitat and productive areas, but a dramatic contraction of the species distribution is unlikely to occur at least during the present century. Context Ginkgo biloba is the only living species in the division Ginkgophyta. The species exists in small natural populations in southeastern China but is cultivated across China and the world. The species’ future under climate change is of concern. Aims This study was initiated to model the species’ growth response to climate change and to predict its range of suitable habitat under future climates. Methods Using height data from 45 20 years old plantations growing under a wide range of climatic conditions across China, we developed univariate and bivariate climatic response functions to identify the climate requirements of the species. Results According to the amount of variance explained (> 70%) and the high level of agreement (> 99%) with independent species occurrence coordinates, the developed climate response function was highly accurate and credible. Projections for future periods (2011–2040, 2041–2070, and 2071–2100) under the Representative Concentration Pathway 4.5 (RCP4.5) scenario indicated that the areas of potential suitable habitat would increase (25–67 million hectares). It would also be associated with northward (0.21–0.62° in latitude) and elevational (24–75 m) shifts. Conclusion Global climate change is projected to increase the area of potential suitable habitats for Ginkgo and shift its spatial distributions northward and upward.

scholarly journals Where the wild things are: Seasonal variation in caribou distribution in relation to climate change

Rangifer ◽  
2005 ◽  
Vol 25 (4) ◽  
pp. 51 ◽  
Author(s):  
Philippa McNeil ◽  
Don E. Russell ◽  
Brad Griffith ◽  
Anne Gunn ◽  
Gary P. Kofinas
Keyword(s):  
Climate Change ◽  
Environmental Factor ◽  
Rangifer Tarandus ◽  
Early Summer ◽  
Climatic Conditions ◽  
Mitigation Measures ◽  
Climate Data ◽  
Climate Trends ◽  
Migration Patterns ◽  
Mining Sites

In this study, we develop a method to analyse the relationships between seasonal caribou distribution and climate, to estimate how climatic conditions affect interactions between humans and caribou, and ultimately to predict patterns of distribution relative to climate change. Satellite locations for the Porcupine (Rangifer tarandus granti) and Bathurst (R. t. groenlandicus) caribou herds were analysed for eight ecologically-defined seasons. For each season, two levels of a key environmental factor influencing caribou distribution were identified, as well as the best climate data available to indicate the factor's annual state. Satellite locations were grouped according to the relevant combination of season and environmental factor. Caribou distributions were compared for opposing environmental factors; this comparison was undertaken relative to hunting access for the Porcupine Herd and relative to exposure to mining activity for the Bathurst Herd. Expected climate trends suggest an overall increase in access to Porcupine caribou for Aklavik (NWT) hunters during the winter and rut seasons, for Venetie (Alaska) hunters during midsummer and fall migration and for Arctic Village (Alaska) during midsummer. Arctic Village may experience reduced availability with early snowfalls in the fall, but we expect there to be little directional shift in the spring migration patterns. For the Bathurst Herd, we expect that fewer caribou would be exposed to the mines during the winter, while more caribou would be exposed to the combined Ekati and Diavik mining zone in the early summer and to the Lupin-Jericho mining zone during the fall migration. If changes in climate cause an increased presence of caribou in the mining sites, monitoring and mitigation measures may need to be intensified.

Climate Change Impacts and Adaptations: New Challenges for the Wine Industry

2016 ◽  
Vol 11 (1) ◽  
pp. 139-149 ◽  
Author(s):  
Nathalie Ollat ◽  
Jean-Marc Touzard ◽  
Cornelis van Leeuwen
Keyword(s):  
Climate Change ◽  
Climate Change Impacts ◽  
Climatic Conditions ◽  
Wine Industry ◽  
Adaptation To Climate Change ◽  
Wine Quality ◽  
Wine Production ◽  
Wine Making ◽  
Wide Range ◽  
The Impact

AbstractClimate change will have a profound effect on vine growing worldwide. Wine quality will also be affected, which will raise economic issues. Possible adaptations may result from changes in plant material, viticultural techniques, and the wine-making process. Relocation of vineyards to cooler areas and increased irrigation are other options, but they may result in potential conflicts for land and water use. Grapes are currently grown in many regions around the world, and growers have adapted their practices to the wide range of climatic conditions that can be found among or inside these areas. This knowledge is precious for identifying potential adaptations to climate change. Because climate change affects all activities linked to wine production (grape growing, wine making, wine economics, and environmental issues), multidisciplinary research is needed to guide growers to continue to produce high-quality wines in an economical and environmentally sustainable way. An example of such an interdisciplinary study is the French LACCAVE (long-term adaptation to climate change in viticulture and enology) project, in which researchers from 23 institutes work together on all issues related to the impact of climate change on wine production. (JEL Classifications: Q1, Q5)

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.

Climate corridors for strategic adaptation planning

2017 ◽  
Vol 9 (6) ◽  
pp. 811-828
Author(s):  
Boris Orlowsky ◽  
Pierluigi Calanca ◽  
Irshad Ali ◽  
Jawad Ali ◽  
Agustin Elguera Hilares ◽  
...  
Keyword(s):  
Climate Change ◽  
Human Activities ◽  
Low Cost ◽  
Climatic Conditions ◽  
Data Availability ◽  
Adaptation Planning ◽  
Climate Projections ◽  
Development Projects ◽  
Content Type ◽  
Wide Range

Purpose Although the importance of climate change is generally acknowledged, its impacts are often not taken into account explicitly when planning development projects. This being due to limited resources, among others, this paper aims to propose a simple and low-cost approach to assess the viability of human activities under climate change. Design/methodology/approach Many human activities are feasible only within a narrow range of climatic conditions. Comparing such “climate corridors” with future climate projections provides an intuitive yet quantitative means for assessing needs for, and the viability of, adaptation activities under climate change. Findings The approach was tested within development projects in Pakistan, Peru and Tajikistan. The approach was shown to work well for forestry and agriculture, indicating positive/negative prospects for wheat in two districts in Pakistan, temperature constraints for maize in Peru and widening elevation ranges for walnut trees in Tajikistan. Practical implications Climate corridor analyses feed into the preparation of Local Adaptation Plans of Action in Pakistan. Originality/value The simplicity and robustness of climate corridor analysis allow for efficient analysis and communication of climate change impacts. It works when data availability is limited, but it can as well accommodate a wide range of complexities. It has proven to be an effective vehicle for mainstreaming climate change into adaptation planning.

scholarly journals Mapping the climate: guidance on appropriate techniques to map climate variables and their uncertainty

2012 ◽  
Vol 5 (1) ◽  
pp. 245-256 ◽  
Author(s):  
N. R. Kaye ◽  
A. Hartley ◽  
D. Hemming
Keyword(s):  
Climate Change ◽  
Data Use ◽  
Lessons Learned ◽  
Background Information ◽  
Mapping Technique ◽  
Climate Variables ◽  
Climate Data ◽  
Intergovernmental Panel ◽  
Mapping Approach ◽  
Wide Range

Abstract. Maps are a crucial asset in communicating climate science to a diverse audience, and there is a wealth of software available to analyse and visualise climate information. However, this availability makes it easy to create poor maps as users often lack an underlying cartographic knowledge. Unlike traditional cartography, where many known standards allow maps to be interpreted easily, there is no standard mapping approach used to represent uncertainty (in climate or other information). Consequently, a wide range of techniques have been applied for this purpose, and users may spend unnecessary time trying to understand the mapping approach rather than interpreting the information presented. Furthermore, communicating and visualising uncertainties in climate data and climate change projections, using for example ensemble based approaches, presents additional challenges for mapping that require careful consideration. The aim of this paper is to provide background information and guidance on suitable techniques for mapping climate variables, including uncertainty. We assess a range of existing and novel techniques for mapping variables and uncertainties, comparing "intrinsic" approaches that use colour in much the same way as conventional thematic maps with "extrinsic" approaches that incorporate additional geometry such as points or features. Using cartographic knowledge and lessons learned from mapping in different disciplines we propose the following 6 general mapping guidelines to develop a suitable mapping technique that represents both magnitude and uncertainty in climate data: – use a sensible sequential or diverging colour scheme; – use appropriate colour symbolism if it is applicable; – ensure the map is usable by colour blind people; – use a data classification scheme that does not misrepresent the data; – use a map projection that does not distort the data – attempt to be visually intuitive to understand. Using these guidelines, we suggest an approach to map climate variables with associated uncertainty, that can be easily replicated for a wide range of climate mapping applications. It is proposed this technique would provide a consistent approach suitable for mapping information for the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR5).

scholarly journals Evaluating the effects of climate change on precipitation and temperature for Iran using RCP scenarios

2020 ◽  
Author(s):  
Shahab Doulabian ◽  
Saeed Golian ◽  
Amirhossein Shadmehri Toosi ◽  
Conor Murphy
Keyword(s):  
Climate Change ◽  
General Circulation ◽  
Climate Models ◽  
Surface Air Temperature ◽  
General Circulation Models ◽  
Skill Score ◽  
Climatic Conditions ◽  
Historical Period ◽  
Rcp Scenarios ◽  
Wide Range

Abstract Climate change has caused many changes in hydrologic processes and climatic conditions globally, while extreme events are likely to occur more frequently at a global scale with continued warming. Given the importance of general circulation models (GCMs) as an essential tool for climate studies at global/regional scales, together with the wide range of GCMs available, selecting appropriate models is of great importance. In this study, six synoptic weather stations were selected as representative of different climatic zones over Iran. Utilizing monthly data for 20 years (1981–2000), the outputs of 25 GCMs for surface air temperature (SAT) and precipitation were evaluated for the historical period. The root-mean-square error and skill score were chosen to evaluate the performance of GCMs in capturing observed seasonal climate. Finally, the outputs of selected GCMs for the three Representative Concentration Pathways emission scenarios (RCPs), namely RCP2.6, RCP4.5, and RCP8.5, were downscaled using the change factor method for each station for the period 2046–2065. Results indicate that SAT in all months is likely to increase for each region, while for precipitation, large uncertainties emerge, despite the selection of climate models that best capture the observed seasonal cycle. These results highlight the importance of selecting a representative ensemble of GCMs for assessing future hydro-climatic changes for Iran.

scholarly journals Mapping the climate: guidance on appropriate techniques to map climate variables and their uncertainty

2011 ◽  
Vol 4 (3) ◽  
pp. 1875-1906 ◽  
Author(s):  
N. R. Kaye ◽  
A. Hartley ◽  
D. Hemming
Keyword(s):  
Climate Change ◽  
Climate Science ◽  
Careful Consideration ◽  
Lessons Learned ◽  
Mapping Technique ◽  
Climate Data ◽  
Intergovernmental Panel ◽  
Mapping Approach ◽  
Wide Range ◽  
Other Information

Abstract. Maps are a crucial asset in communicating climate science to a diverse audience, and there is a wealth of software available to analyse and visualise climate information. However, this availability makes it easy to create poor maps as users often lack an underlying cartographic knowledge. Furthermore, communicating and visualising uncertainties in climate data and climate change projections, using for example ensemble based approaches, presents additional challenges for mapping that require careful consideration. This paper assesses a range of techniques for mapping uncertainties, comparing "intrinsic" approaches that use colour in much the same way as conventional thematic maps, and "extrinsic" approaches that incorporate additional geometry such as points or features. We proposes that, unlike traditional cartography, where many known standards allow maps to be interpreted easily, there is no standard mapping approach used to represent uncertainty (in climate or other information). Consequently, a wide range of techniques have been applied for this purpose, and users may spend unnecessary time trying to understand the mapping approach rather than interpreting the information presented. We use cartographic knowledge and lessons learned from mapping other information to propose a suitable mapping technique that represents both magnitude and uncertainty in climate data. This technique adjusts the hue of a small palette of colours to show the mean or median of a climate variable, and the saturation of the colour to illustrate a measure of uncertainty. It is designed to be easy to replicate, visible to colour blind people and intuitive to understand. This technique may be utilised to map a wide range of climate data, and it is proposed that it would provide a consistent approach suitable for mapping information for the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR5).

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