Quantifying the cooling effect of rain events on outdoor thermal comfort in the southern coastal stations of the Caspian Sea

Pleasant outdoor thermal conditions depend on a wide range of climatic elements. The impact of rainfall events, as important climatic elements, on providing thermal comfort, has been less explored in the available literature. The work presented herein investigates the impact of Rainy Days as well as a Day Prior to (D_prior) and a Day Post rain (D_post) events on thermal conditions in the southern coastal region of the Caspian Sea. In this study, rainfall events during 1961–2017 observational period were categorized based on their intensity. Then, human thermal comfort during non-rainy (sunny) and rainy days was estimated and compared by using the radiation-driven Physiological Equivalent Temperature (PET) index, Universal Thermal Climate Index (UTCI) and Perceived Temperature (PT) index. Furthermore, difference between the average of thermal conditions in rainy days compared to a day prior and a day post rain events was calculated separately for comfort, cold and heat stress thresholds of each bioclimatic index. Finally, the correlation between the average of indices for rainy days and the frequency of rainfall events of each specific year was computed. Results suggested that overall average of studied indices for all rainy days is lower than the average for days prior and post the rain events. PET index has shown to be most impacted and reduced as a result of rain events and therefore more indicative of a cool ing effect. The observed difference in total average of PET in rainy days compared to non-rainy days were 8.30 °C, 5.86 °C and 8.85 °C for Babolsar, Rahst and Gorgan stations, respectively. Generally, the cooling effect of rain events on the temperature for a day prior rain events is higher than a day post rainfall. Finally, the trend analysis on rainy days in the studied period revealed that the average of bioclimatic indices in western stations (Babolsar and Rasht) are increasing whereas a decreasing trend was observed for Gorgan as more of an eastern station.     

The influence of urban design on outdoor thermal comfort in the hot, humid city of Colombo, Sri Lanka

The outdoor environment is deteriorating in many tropical cities due to rapid urbanization. This leads to a number of problems related to health and well-being of humans and also negatively affects social and commercial outdoor activities. The creation of thermally comfortable microclimates in urban environments is therefore very important. This paper discusses the influence of street-canyon geometry on outdoor thermal comfort in Colombo, Sri Lanka. Five sites with different urban geometry, ground cover, and distance from the sea were studied during the warmest season. The environmental parameters affecting thermal comfort, viz. air temperature, humidity, wind speed, and solar radiation, were measured, and the thermal comfort was estimated by calculating the physiologically equivalent temperature (PET). The thermal comfort is far above the assumed comfort zone due to the combination of intense solar radiation, high temperatures, and low wind speeds, especially on clear days. The worst conditions were found in wide streets with low-rise buildings and no shade trees. The most comfortable conditions were found in narrow streets with tall buildings, especially if shade trees were present, as well as in areas near the coast where the sea breeze had a positive effect. In order to improve the outdoor comfort in Colombo, it is suggested to allow a more compact urban form with deeper street canyons and to provide additional shade through the use of trees, covered walkways, pedestrian arcades, etc. The opening up of the city's coastal strip would allow the sea breeze to penetrate further into the city.     

An initial assessment of the bioclimatic comfort in an outdoor public space in Lisbon

This paper describes the application of a methodology designed to analyse the relationship between climatic conditions and the perception of bioclimatic comfort. The experiment consisted of conducting simultaneous questionnaire surveys and weather measurements during 2 sunny spring days in an open urban area in Lisbon. The results showed that under outdoor conditions, thermal comfort can be maintained with temperatures well above the standard values defined for indoor conditions. There seems to be a spontaneous adaptation in terms of clothing whenever the physiological equivalent temperature threshold of 31°C is surpassed. The perception of air temperature is difficult to separate from the perception of the thermal environment and is modified by other parameters, particularly wind. The perception of solar radiation is related to the intensity of fluxes from various directions (i.e. falling upon both vertical and horizontal surfaces), weighted by the coefficients of incidence upon the human body. Wind was found to be the most intensely perceived variable, usually negatively. Wind perception depends largely on the extreme values of wind speed and wind variability. Women showed a stronger negative reaction to high wind speed than men. The experiment proved that this methodology is well-suited to achieving the proposed objectives and that it may be applied in other areas and in other seasons.     

基于SPEI的北京低频干旱与气候指数关系

干旱是北京地区发生最频繁、波及面积最大、持续时间最长的一种自然灾害。基于1868—2010年每月的降水和平均气温数据,应用综合了降水和气温变化共同效应的新的干旱指标标准化降水蒸散指数(SPEI)定量描述北京地区的干湿状况,并利用历史旱灾记录对其进行验证;采用连续小波转换(CWT)分析近150 a来的干旱振荡特征,并利用交叉小波变换(XWT)探论了干旱与大尺度气候因子之间的关系。结果表明:1)SPEI揭示的干旱与历史记录比较吻合,证明该指数可以在多时间尺度上有效地反映北京地区旱涝程度及其持续时间;2)北京地区干旱具有80—120个月年际尺度和250个月、480个月年代际尺度的周期振荡,呈现了同大尺度气候因子相似的变化特征;3)北京干旱变化与四大气候因子存在着多时间尺度的显著相关性,SPEI和北大西洋涛动(NAO)、北极涛动(AO)、太平洋涛动(PDO)都具有100—120个月和250个月的年代际主共振周期,而SPEI和厄尔尼诺-南方涛动(ENSO)在整个研究期内都表现出极显著的32—64个月年际主共振周期,同时SPEI与4个气候因子在共振周期上均体现出比较明确的时滞特征(2—6月不等)。因此,可以基于大尺度气象因子结合SPEI预测北京地区未来的干旱变化。     

Investigating the potential impacts of climate change on a marine turtle population

Recent increases in global temperatures have affected the phenology and survival of many species of plants and animals. We investigated a case study of the effects of potential climate change on a thermally sensitive species, the loggerhead sea turtle, at a breeding location at the northerly extent of the range of regular nesting in the United States. In addition to the physical limits imposed by temperature on this ectothermic species, sea turtle primary sex ratio is determined by the temperature experienced by eggs during the middle third of incubation. We recorded sand temperatures and used historical air temperatures (ATs) at Bald Head Island, NC, to examine past and predict future sex ratios under scenarios of warming. There were no significant temporal trends in primary sex ratio evident in recent years and estimated mean annual sex ratio was 58% female. Similarly, there were no temporal trends in phenology but earlier nesting and longer nesting seasons were correlated with warmer sea surface temperature. We modelled the effects of incremental increases in mean AT of up to 7.5°C, the maximum predicted increase under modelled scenarios, which would lead to 100% female hatchling production and lethally high incubation temperatures, causing reduction in hatchling production. Populations of turtles in more southern parts of the United States are currently highly female biased and are likely to become ultra‐biased with as little as 1°C of warming and experience extreme levels of mortality if warming exceeds 3°C. The lack of a demonstrable increase in AT in North Carolina in recent decades coupled with primary sex ratios that are not highly biased means that the male offspring from North Carolina could play an increasingly important role in the future viability of the loggerhead turtle in the Western Atlantic.     

Modelling the potential effects of climate change on calcareous grasslands in Atlantic Europe

Aim This study aims to assess the sensitivity of calcareous grassland vegetation to climate change and to indicate the most probable direction of change. Location The study area was a region of Britain, Ireland, France and Spain, centred on the Bay of Biscay, which was defined using a land classification based on climatic criteria. Methods Vegetation was sampled in the field, with additional data collected on soils, climate, management and land cover. The vegetation samples were ordinated by detrended correspondence analysis in order to explore the main gradients present and as a basis for modelling changes. Environmental data were summarized by ordination techniques, with the scores generated used to predict the current vegetation score on the first two ordination axes by multiple regression. The model was then manipulated to represent a 2 °C increase in temperature and resulting shifts in the vegetation samples in terms of their species composition assessed. Results There was a good general agreement between the original vegetation ordination axis scores and those predicted by the model, the latter of which were based on environmental data alone. Following a 2 °C increase in temperature, the predicted changes in the ordination space were demonstrated to be subtle, consisting of small shifts towards vegetation associated with warmer conditions, representing distances 100 km or less on the ground. Main conclusions The models are simple but nevertheless provide a useful basis for the investigation of potential vegetation change. The shifts in the ordination space represent more minor changes than those predicted in previous studies. This suggests that the potential for major change is lower when environmental factors such as soil and management are considered in addition to climate. The potential for change is also reduced when vegetation is considered as a whole rather than on an individual species basis, due to both interspecific interactions and interactions with environmental factors acting as constraints.     

气候变化对东北主要地带性植被类型分布的影响

准确地划分地带性主要植被类型分布的适宜区域,可为区域植被恢复与重建、生物多样性保护等工作提供有益的理论参考。在检验1961—2013年东北地区气候变化突变点的基础上,基于东北地区主要植被类型热量指标,研究气候变化对该区域主要植被类型适宜分布区域的影响,并利用2000年和2013年土地类型覆盖数据(MCD12Q1),对推算的适宜分布区域进行验证,结果表明:大兴安岭气温突变点为1982年,其它地区为1988年,东北地区各生态地理区年降水量没有明显的突变点。气温突变点后适宜在东北地区生长的主要植被种类没有变化,但各植被类型的分布区域均有所改变,其中高山冻原、亚高山矮曲林、寒温带针叶林和温带针阔叶混交林适宜分布区域面积减小,暖温带落叶阔叶林和温带草原面积增大。气温突变点前后各植被类型适宜分布区的地理中心均发生了不同程度的移动,其中移动距离最大的是南部地区的亚高山矮曲林,向东北方向移动了135.44km。与主要植被类型实际分布相对比,证明气候变化对研究区植被类型分布可能已经产生了影响。     

The impact of climate change on the physical characteristics of the larger lakes in the English Lake District

1. The larger lakes of the English Lake District have been the subject of intensive scientific study for more than 60 years. Year‐to‐year variations in the weather have recently been shown to have a major effect on their physical characteristics. The area is mild but very wet and the dynamics of the lakes are strongly influenced by the movement of weather systems across the Atlantic. 2. Here, we combine the results of long‐term measurements and the projections from a Regional Climate Model (RCM) to assess the potential impact of climate change on the surface temperature and residence times of the lakes. 3. The RCM outputs used were produced by the U.K. Hadley Centre and are based on the IPCC ‘A2’ scenario for the emission of greenhouse gases. These suggest that winters in the area will be very much milder and wetter by the 2050s and that there will be a pronounced reduction in the summer rainfall. 4. An analysis of the meteorological data acquired between 1940 and 2000 shows that there have been progressive increases in the winter air temperature and in the rainfall which are correlated with the long‐term change in the North Atlantic Oscillation. The trends reported during the summer were less pronounced and were correlated with the increased frequency of anticyclonic days and a decrease in the frequency of westerly days in the British Isles. 5. A simple model of the year‐to‐year variations in surface temperatures showed that the highest winter temperatures were recorded in the deeper lakes and the highest summer temperatures in the lakes with the shallowest thermoclines. When this model was used to predict the surface temperatures of the lakes in the 2050s, the greatest winter increase (+1.08 °C) was observed in the shallowest lake and the greatest summer increase (+2.18 °C) in the lake with the shallowest thermocline. 6. The model used to estimate the seasonal variation in the residence time of the lakes showed that the most pronounced variations were recorded in lakes with a short residence time. Average winter residence times ranged from a minimum of 10 days to a maximum of 436 days and average summer values from a minimum of 23 days to a maximum of 215 days. When this model was used to predict the residence time of the lakes in the 2050s, the greatest winter decrease (−20%) was observed in the smallest lake and the greatest summer increase (+92%) in the lake with the shortest residence time. 7. The results are discussed in relation to trends reported elsewhere in Europe and the impact of changes in the atmospheric circulation on the dynamics of the lakes. The most serious limnological effects were those projected for the summer and included a general increase in the stability of the lakes and a decrease in the flushing rate of the lakes with short residence times.     

Latitudinal variation in thermal ecology of North American ratsnakes and its implications for the effect of climate warming on snakes

Behavioral thermoregulation is expected to be critical in determining the capacity of reptiles to respond to climate warming and how that response will vary with latitude. We used radio-telemetry to compare behavioral thermoregulation among ratsnake (Elaphe obsoleta) populations in Texas, Illinois, and Ontario, a latitudinal distance of >1500 km. Despite numerous specific differences among populations, overall the thermal ecology was surprisingly similar during the months that snakes in all three populations were active. Preferred temperatures varied only slightly across the snakes’ range, the extent of thermoregulation was similar, and by varying when during the day and season they thermoregulated, snakes in all three populations realized body temperatures within their preferred temperature range 15–20% of the time. The ability to use fine-scale behavioral thermoregulation (i.e., selective use of habitats and microclimates) to a similar extent and achieve similar outcomes across such a wide latitudinal and climatic gradient is made possible by large-scale differences in timing of activity (ratsnakes in Texas switch to nocturnal activity during summer, whereas in Illinois and Ontario activity is exclusively diurnal and hibernation lasts 5–7 months). Modeling indicated that a 3 °C increase in ambient temperature will generally improve thermal conditions for all three populations. Our empirical analyses suggest that the snakes’ ability to respond to climate warming will be determined more by their capacity to adjust when they are active than by changes in the extent of fine-scale behavioral thermoregulation. The ability to adjust timing of activity appears to make many snakes fundamentally different from lizards. As such, the consequences of climate warming may be very different for these two groups of reptiles.     

Extreme rainfall events and cooling of sea turtle clutches: Implications in the face of climate warming

Understanding how climate change impacts species and ecosystems is integral to conservation. When studying impacts of climate change, warming temperatures are a research focus, with much less attention given to extreme weather events and their impacts. Here, we show how localized, extreme rainfall events can have a major impact on a species that is endangered in many parts of its range. We report incubation temperatures from the world's largest green sea turtle rookery, during a breeding season when two extreme rainfall events occurred. Rainfall caused nest temperatures to drop suddenly and the maximum drop in temperature for each rain‐induced cooling averaged 3.6°C (n = 79 nests, min = 1.0°C, max = 7.4°C). Since green sea turtles have temperature‐dependent sex determination, with low incubation temperatures producing males, such major rainfall events may have a masculinization effect on primary sex ratios. Therefore, in some cases, extreme rainfall events may provide a “get‐out‐of‐jail‐free card” to avoid complete feminization of turtle populations as climate warming continues.     

Changes in the distribution of South Korean forest vegetation simulated using thermal gradient indices

To predict changes in South Korean vegetation distribution, the Warmth Index (WI) and the Minimum Temperature of the Coldest Month Index (MTCI) were used. Historical climate data of the past 30 years, from 1971 to 2000, was obtained from the Korea Meteorological Administration. The Fifth-Generation National Center for Atmospheric Research (NCAR) /Penn State Mesoscale Model (MM5) was used as a source for future climatic data under the A1B scenario from the Special Report on Emission Scenario (SRES) of the Intergovernmental Panel on Climate Change (IPCC). To simulate future vegetation distribution due to climate change, the optimal habitat ranges of Korean tree species were delimited by the thermal gradient indices, such as WI and MTCI. To categorize the Thermal Analogy Groups (TAGs) for the tree species, the WI and MTCI were orthogonally plotted on a two-dimensional grid map. The TAGs were then designated by the analogue composition of tree species belonging to the optimal WI and MTCI ranges. As a result of the clustering process, 22 TAGs were generated to explain the forest vegetation distribution in Korea. The primary change in distribution for these TAGs will likely be in the shrinkage of areas for the TAGs related to Pinus densiflora and P. koraiensis, and in the expansion of the other TAG areas, mainly occupied by evergreen broad-leaved trees, such as Camellia japonica, Cyclobalanopsis glauca, and Schima superba. Using the TAGs to explain the effects of climate change on vegetation distribution on a more regional scale resulted in greater detail than previously used global or continental scale vegetation models.     

气候变化对中国农作物虫害发生的影响

基于1961—2010年全国农区527个气象站点气象资料、全国病虫害资料以及农作物种植面积等资料,对全国虫害发生面积与气象因子采用相关分析法,分析了气象要素变化对虫害发生的影响。结果表明:气候变化背景下,年平均温度、平均降水强度分别以0.27℃.10a-1、0.24mm.(d.10a)-1的速度增长,年日照时数以47.40h.10a-1的速度减小;年降水量增长速率为0.14mm.10a-1,但波动较大;虫害发生面积率距平与平均温度、平均降水强度距平呈显著正相关,平均温度、平均降水强度分别每增加1℃、1mm.d-1,虫害发生面积率增加0.648、0.713,虫害发生面积将增加0.96、1.06亿hm2次;虫害发生面积率距平与年日照时数距平呈显著负相关,其每降低100h,虫害发生面积率增加0.40,虫害发生面积将增加0.59亿hm2次;总体上,虫害发生面积率距平与年降水量距平的关系不明显。虫害发生面积率距平与年平均小雨量、微雨量雨日数、小雨量雨日数距平呈显著负相关,3个因子分别每减少1mm、1d、1d,虫害发生面积率增加0.014、0.066、0.052,发生面积将增加0.02、0.10、0.08亿hm2次。     

气候变化对我国7种植物潜在分布的影响

利用CART(分类和回归树)模型及A2和B2气候情景,模拟分析气候变化对瘿椒树、岩高兰、延龄草、星叶草、天麻、蝟实和秃杉分布范围及空间格局影响.结果显示:气候变化下,就目前适宜分布范围,瘿椒树呈增加趋势,其它植物呈缩小趋势;就新适宜及总适宜分布范围,蔚实、延龄草和瘿椒树呈增加趋势,星叶草和岩高兰呈减小趋势,天麻和秃杉在...     

气候变化对中国农作物病害发生的影响

基于全国农区527个气象站点1961—2010年逐日气象资料、逐年农作物病害发生面积以及产量资料,从气温、降水、日照等角度,采用相关分析方法,研究了气候变化背景下各气象要素变化对中国农作物病害发生的影响。结果表明:近50年来,气候变化导致的各气象因子变化总体有利于病害发生,年平均温度以0.27℃·10a-1的速率升高,其每升高1℃,可导致病害发生面积增加6094.4万hm2次;年平均降雨强度以0.24mm·d-1·10a-1的速度增加,其每增加1mm·d-1,可导致病害发生面积增加6540.4万hm2次;年平均日照时数以47.4h·10a-1的速率减少,其每减少100h,可导致病害发生面积增加3418.8万hm2次;在气候变化导致的光、温、水变化中,温度增加对病害发生面积增加的影响最为显著,其次为日照时数减少、第三为平均降雨强度增大,其标准化回归系数依次为0.508、-0.374、0.112。     

Effects of recent climate trends on the distribution of potential natural vegetation in Central Germany

Introducing climate quotients for the growing season (Q_gs) provides a way to quantify effects of climate trends with respect to Potential Natural Vegetation (PNV), especially beech forests (Fagus sylvatica L.) in Central Germany. What is crucial in this regard is the great influence of the dominant decrease in the amount of precipitation (up to 40% in the last 50 years) during the growing season versus the dormant season. However, precipitation during the dormant season (which is predominantly increasing: up to 40% in the last 50 years) is also important for replenishing the soil water supply. The Q_gs values of the Climatic Normal period of 1971–2000 are generally higher (up to 12% in lowland areas) compared with the Climatic Normal period of 1961–1990, the extent of the difference being in general inversely proportional to elevation above sea level. What this means for the area under investigation is that humidity conditions, which generally improve as the elevation above sea level increases, have a positive effect on the site potential. However, a comparison of the climatologically important period of 1991–2003 with the period of 1961–1990 (area-wide increase between 12% and 16%) could not identify this positive effect of elevation on precipitation for the area under investigation. With regard to the recent climate-based trends of PNV, we have shown that all natural spatial units in Central Germany are affected by progressing continentality (i.e., dryness) during the growing season and the resulting deterioration of the site potential. The area of potential beech forest at lower elevation has decreased in favour of oak forest as PNV, while less change is observed in the montane area.     

A study of the impact of climate change on the potential distribution of Qinghai spruce (Picea crassifolia) in Qilian Mountains

To restore the human-disturbed natural ecology and to assess the impact of the projected future climatic change on the natural ecology at a plant community level or at a plant species level, we need to understand the potential distribution of the community or the species under current climate conditions. Many methods have recently been developed to simulate the potential distribution of a particular community or a particular species, but very little has been done to assess the potential distribution of Qinghai spruce (Picea crassifolia) in Qilian Mountains where the spruce forests are extremely important ecologically and hydrologically. This study used maximum entropy model to simulate the potential distribution of Qinghai spruce under current climate conditions and the validity of the model was verified by statistically comparing the simulated potential distribution with the observed actual distribution of the spruce. We then applied this verified model to assess the impact of the projected future climatic changes on the spruce and the simulated results show that the areal extent of the potential distribution of Qinghai spruce may increase by 1% under the projected future climate change scenario. In addition, this study revealed that among the 19 environmental and climatic factors used in this model, the most important factors are the mean maximum temperature in the warmest month and the mean temperature of the wettest quarter in controlling the potential distribution of Qinghai spruce, these two factors accounting for as much as 75.6% of the variations.     

气候变化对中国近海8种中上层鱼类潜在生境分布的影响

随着底层和近底层渔业资源的衰退,海洋中上层鱼类在我国海洋捕捞业中逐渐占据重要的地位。预测气候变化情景下中上层经济鱼类的潜在生境分布及其变化规律,可为应对气候变化的鱼类栖息地保护和渔业生态系统管理提供重要科学依据。采用物种分布模型模拟并预测现状及2050年两种气候变化情景下8种中上层经济鱼类在中国近海的潜在分布,通过分布区的收缩-扩张情形和质心迁移距离定量分析气候变化对鱼类空间分布格局的影响。结果表明：(1)模型预测结果良好,各组模型的AUC值均高于0.85,影响目标鱼类潜在分布的主要驱动因子为海水表层温度和溶解氧;(2)8种中上层经济鱼类中,羽鳃鲐(Rastrelliger kanagurta)、鳓鱼(Ilisha elongata)等种类生境分布偏南,气候变化情景下分布北界可扩展至长江口,而鳀鱼(Engraulis japonicus)、青鳞小沙丁鱼(Sardinella zunasi)等种类主要分布在我国北方海域,气候变化情景下生境南缘边界退缩明显;(3)整体来看RCP8.5情景下的空间分布变化率大于RCP2.6情景,其中蓝圆鲹(Decapterus maruadsi)、青鳞小沙丁...     

Modelling the potential impact of climate variability and change on species regeneration potential in the temperate forests of South‐Eastern Australia

The sensitivity of early plant regeneration to environmental change makes regeneration a critical stage for understanding species response to climate change. We investigated the spatial and temporal response of eucalypt trees in the Central Highland region of south eastern Australia to high and low climate change scenarios. We developed a novel mechanistic model incorporating germination processes, TACA‐GEM, to evaluate establishment probabilities of five key eucalypt species, Eucalyptus pauciflora, Eucalyptus delegatensis, Eucalyptus regnans, Eucalyptus nitens and Eucalyptus obliqua. Changes to regeneration potential at landscape and site levels were calculated to determine climate thresholds. Model results demonstrated that climate change is likely to impact plant regeneration. We observed increases and decreases in regeneration potential depending on the ecosystem, indicating that some species will increase in abundance in some forest types, whilst other forest types will become inhabitable. In general, the dry forest ecosystems were most impacted, whilst the wet forests were least impacted. We also observed that species with seed dormancy mechanisms, like E. pauciflora and E. delegatensis, are likely to be at higher risk than those without. Landscape‐ and site‐level analysis revealed heterogeneity in species response at different scales. On a landscape scale, a 4.3 °C mean temperature increase and 22% decline in precipitation (predicted for 2080) is predicted to be a threshold for large spatial shifts in species regeneration niches across the study region, while a 2.6 °C increase and 15% decline in precipitation (predicted for 2050) will likely result in local site‐level shifts. Site‐level analysis showed that considerable declines in regeneration potential for E. delegatensis, E. pauciflora and E. nitens were modelled to occur in some ecosystems by 2050. While overall model performance and accuracy was good, better understanding of effects from extreme events and other underlying processes on regeneration will improve modelling and development of species conservation strategies.