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 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 Predicting impacts of future climate change on the distribution of the widespread selaginellas (Selaginella ciliaris and S. plana) in Southeast Asia

2018 ◽  
Vol 19 (5) ◽  
pp. 1960-1977
Author(s):  
AHMAD DWI SETYAWAN ◽  
JATNA SUPRIATNA ◽  
NISYAWATI NISYAWATI ◽  
SUTARNO SUTARNO ◽  
ILYAS NURSAMSI
Keyword(s):  
Climate Change ◽  
Southeast Asia ◽  
Global Climate ◽  
Early Period ◽  
Climatic Conditions ◽  
Future Climate ◽  
Future Climate Change ◽  
High Plains ◽  
Suitable Habitat ◽  
Climate Conditions

Abstract. Setyawan AD, Supriatna J, Nisyawati, Sutarno, Sugiyarto, Nursamsi I. 2018. Predicting impacts of future climate change on the distribution of the widespread selaginellas (Selaginella ciliaris and S. plana) in Southeast Asia. Biodiversitas 19: 1960-1977. The current global climate is moving towards dangerous and unprecedented conditions that have been seen as a potentially devastating threat to the environment and all living things. Selaginella is a fern-allies that needs water as a medium for fertilization, hence its distribution is presumed to be affected by climate change. In Southeast Asia (SEA), there are two widely distributed selaginellas, namely Selaginella ciliaris and S. plana. S. ciliaris is a small herb (up to 4 cm), annual, abundant during the rainy season, and found in the middle-high plains, whereas S. plana is a stout large herb (up to 80 cm), perennial, and mainly found in the lowlands. The purpose of this study was to determine the potential niche distribution of S. ciliaris and S. plana under current climatic conditions, and to predict its future distribution under the impacts of climate change. We used Maxent software along with bioclimatic, edaphic, and UV radiation variables to model the potential niche distribution of those two selaginellas under current and future predictions climate conditions. We generated future predictions under four detailed bioclimatic scenarios (i.e., RCP 2.6, RCP 4.5, RCP 6.0, and RCP 8.5) over three times intervals (2030, 2050, 2080). The results showed that future climatic conditions in the SEA had been predicted to significantly disrupt the distribution of suitable habitat of S. ciliaris and S. plana, and alter their geographic distribution patterns. Although some areas were predicted to become suitable habitat in the early period of future climate change, the overall projections show adverse effects of future climate conditions on the suitable habitat distribution of S. ciliaris and S. plana, as estimated losses of suitable habitat will be higher than the gains.

scholarly journals Regulation of Seed Dormancy and Germination Mechanisms in a Changing Environment

2021 ◽  
Vol 22 (3) ◽  
pp. 1357
Author(s):  
Ewelina A. Klupczyńska ◽  
Tomasz A. Pawłowski
Keyword(s):  
Climate Change ◽  
Seed Germination ◽  
Seed Dormancy ◽  
Environmental Conditions ◽  
Global Climate ◽  
Plant Evolution ◽  
Suitable Habitat ◽  
Climate Change Scenarios ◽  
Adaptation Mechanism ◽  
Seed Dormancy And Germination

Environmental conditions are the basis of plant reproduction and are the critical factors controlling seed dormancy and germination. Global climate change is currently affecting environmental conditions and changing the reproduction of plants from seeds. Disturbances in germination will cause disturbances in the diversity of plant communities. Models developed for climate change scenarios show that some species will face a significant decrease in suitable habitat area. Dormancy is an adaptive mechanism that affects the probability of survival of a species. The ability of seeds of many plant species to survive until dormancy recedes and meet the requirements for germination is an adaptive strategy that can act as a buffer against the negative effects of environmental heterogeneity. The influence of temperature and humidity on seed dormancy status underlines the need to understand how changing environmental conditions will affect seed germination patterns. Knowledge of these processes is important for understanding plant evolution and adaptation to changes in the habitat. The network of genes controlling seed dormancy under the influence of environmental conditions is not fully characterized. Integrating research techniques from different disciplines of biology could aid understanding of the mechanisms of the processes controlling seed germination. Transcriptomics, proteomics, epigenetics, and other fields provide researchers with new opportunities to understand the many processes of plant life. This paper focuses on presenting the adaptation mechanism of seed dormancy and germination to the various environments, with emphasis on their prospective roles in adaptation to the changing climate.

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 Current and future suitable habitat areas for Nasuella olivacea (Gray, 1865) in Colombia and Ecuador and analysis of its distribution across different land uses

2020 ◽  
Vol 8 ◽  
Author(s):  
Pablo Medrano-Vizcaíno ◽  
Patricia Gutiérrez-Salazar
Keyword(s):  
Climate Change ◽  
Potential Distribution ◽  
Wildlife Conservation ◽  
Distribution Patterns ◽  
Climatic Conditions ◽  
Future Climate ◽  
Future Climate Change ◽  
Suitable Habitat ◽  
Climate Change Scenarios ◽  
Ecological Niche Models

Nasuella olivacea is an endemic mammal from the Andes of Ecuador and Colombia. Due to its rarity, aspects about its natural history, ecology and distribution patterns are not well known, therefore, research is needed to generate knowledge about this carnivore and a first step is studying suitable habitat areas. We performed Ecological Niche Models and applied future climate change scenarios (2.6 and 8.5 RCP) to determine the potential distribution of this mammal in Colombia and Ecuador, with current and future climate change conditions; furthermore, we analysed its distribution along several land covers. We found that N. olivacea is likely to be found in areas where no records have been reported previously; likewise, climate change conditions would increase suitable distribution areas. Concerning land cover, 73.4% of N. olivacea potential distribution was located outside Protected Areas (PA), 46.1% in Forests and 40.3% in Agricultural Lands. These findings highlight the need to further research understudied species, furthering our understanding about distribution trends and responses to changing climatic conditions, as well as informig future PA designing. These are essential tools for supporting wildlife conservation plans, being applicable for rare species whose biology and ecology remain unknown.

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.

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.

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