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Mapping tree canopy thermal refugia for birds using biophysical models and LiDAR. 利用生物物理模型和激光雷达绘制鸟类的树冠热庇护所图。
IF 3 3区 地球科学 Q2 BIOPHYSICS Pub Date : 2024-11-25 DOI: 10.1007/s00484-024-02833-z
Lara H Strydom, Shannon R Conradie, Izak P J Smit, Michelle Greve, Peter B Boucher, Andrew B Davies, Andrew E McKechnie

Accurately predicting exposure of animals to climate change requires evaluating the effects of warming on the microclimates they occupy. Birds, like many other taxa, make extensive use of cool microsites in vegetation during hot weather. Taking advantage of recent advances in modelling tree canopy microclimates, we combined LiDAR-based individual tree canopy mapping and biophysical modelling to evaluate the current and future availability of cool microsites in a subtropical African savanna landscape. We constructed biophysical models for two common bird species, an ~ 40-g bulbul and an ~ 200-g hornbill, and modelled exposure to conditions under which the body temperature (Tb) of individuals resting in canopies exceeds 42 °C, equivalent to ~ 2 °C above resting thermoneutral Tb. At present, 34.5% of trees taller than 2 m in our 139-ha study site provide microclimates in which resting Tb remained below 42 °C for both species during our study period. Under a Representative Concentration Pathway 8.5 climate change scenario and assuming no change in vegetation structure, by the end of the Century the availability of microsites characterized by Tb < 42 °C will decrease to just 0.4% and 3.8% for bulbuls and hornbills, respectively. The proportion of trees in whose canopies bulbuls' and hornbills' exposure to Tb > 42 °C is limited to < 10 d summer- 1 will decrease from 98 to 99% currently to 3.0% and 24.3% by end-century, respectively. These findings reveal the magnitude of changes for birds in a savanna thermal landscape under a business-as-usual emissions scenario.

要准确预测动物受气候变化影响的程度,就必须评估气候变暖对它们所处微气候的影响。鸟类和许多其他类群一样,在炎热的天气里广泛利用植被中的凉爽微气候。利用树冠微气候建模的最新进展,我们将基于激光雷达的单个树冠绘图与生物物理建模相结合,评估了亚热带非洲稀树草原景观中凉爽微气候的当前和未来可用性。我们为两种常见鸟类--体重约为 40 克的鹎和体重约为 200 克的犀鸟--构建了生物物理模型,并模拟了在树冠中休息的个体体温(Tb)超过 42 °C(相当于比休息时的热中性体温高出约 2 °C)的条件下的暴露情况。目前,在我们 139 公顷的研究地点中,34.5% 树高超过 2 米的树木提供了微气候,在我们的研究期间,这两个物种的静止体温都保持在 42 °C 以下。在代表浓度途径 8.5 的气候变化情景下,假设植被结构不变,到本世纪末,Tb < 42 °C的微气候条件对球嘴鸟和犀鸟来说将分别减少到 0.4% 和 3.8%。到本世纪末,灯泡鸟和犀鸟暴露于 Tb > 42 °C 的树冠中的树木比例将分别从目前的 98% 到 99% 降至 3.0% 和 24.3%。这些发现揭示了在 "一切照旧 "的排放情景下,热带稀树草原热景观中鸟类的变化程度。
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引用次数: 0
Association between nighttime and daytime ambient temperature and insomnia using national emergency department database in the capital city of South Korea. 利用韩国首都的全国急诊科数据库,研究夜间和白天环境温度与失眠之间的关系。
IF 3 3区 地球科学 Q2 BIOPHYSICS Pub Date : 2024-11-25 DOI: 10.1007/s00484-024-02831-1
Sunwoo Kang, Gyeongchan Kim, Subin Jeong, Woojae Myung, Hyewon Lee

Insomnia is a growing health concern globally, with significant implications for public health. Most studies have primarily focused on the effects of nighttime temperatures on sleep problems. However, there is a lack of studies comparing nighttime temperatures with daytime temperatures, which are more closely related to daily life activities. This study aimed to explore a short-term association of nighttime and daytime ambient temperature with emergency department (ED) visits for insomnia in the capital city of South Korea. A time-stratified case-crossover design was employed using a conditional logistic regression model. A distributed lag non-linear model was utilized to explore potential non-linear and lag effects of ambient temperature on ED visits for insomnia. Odds ratio (OR) for temperature with maximum ED visits for insomnia (MaxIT) and that for temperature with minimum ED visits for insomnia (MinIT) were calculated and compared. We observed significant associations at high temperatures for both nighttime and daytime (nighttime: 25.0℃ (94.1%) [OR: 1.82, 95% CIs: 1.31-2.55], daytime: 30.6℃ (99.0%) [OR: 2.13, 95% CIs: 1.49-3.06]) compared to MinIT (-8.5℃ (2.7%) and - 8.4℃ (1.0%), respectively). Subgroup analyses found significant associations at high temperatures in females, individuals aged 35-49, and those without comorbidities, and during spring, fall, and winter, for both daytime and nighttime. Our findings provide insights for proactive public health strategies for managing insomnia during global temperature rise.

失眠是全球日益关注的健康问题,对公众健康有重大影响。大多数研究主要关注夜间温度对睡眠问题的影响。然而,缺乏将夜间气温与白天气温进行比较的研究,而白天气温与日常生活活动的关系更为密切。本研究旨在探讨韩国首都城市夜间和白天环境温度与失眠症急诊就诊率之间的短期关联。研究采用条件逻辑回归模型,进行了时间分层病例交叉设计。利用分布式滞后非线性模型探讨了环境温度对失眠症急诊就诊率的潜在非线性和滞后效应。计算并比较了温度与失眠症急诊就诊人次最高值(MaxIT)的比值比(OR)和温度与失眠症急诊就诊人次最低值(MinIT)的比值比(OR)。我们观察到夜间和白天的高温都与失眠有明显关系(夜间:25.0℃ (94.1%) [OR: 1.82, 95% CIs: 1.31-2.55],白天:30.6℃ (99.0%) [OR: 1.82, 95% CIs: 1.31-2.55]):30.6℃ (99.0%) [OR: 2.13, 95% CIs: 1.49-3.06]),而 MinIT(分别为-8.5℃ (2.7%) 和-8.4℃ (1.0%))。亚组分析发现,在气温较高时,女性、35-49 岁的人和无合并症的人,以及在春季、秋季和冬季,无论是白天还是夜间,都有显著的相关性。我们的研究结果为在全球气温上升期间采取积极的公共卫生策略管理失眠症提供了启示。
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引用次数: 0
Medical meteorological forecast for ischemic stroke: random forest regression vs long short-term memory model 缺血性中风的医学气象预报:随机森林回归与长短期记忆模型。
IF 3 3区 地球科学 Q2 BIOPHYSICS Pub Date : 2024-11-21 DOI: 10.1007/s00484-024-02818-y
Yixiu Yang, Mingjie Zhang, Jinghong Zhang, Yajie Zhang, Weining Xiong, Yipeng Ding, Shuyuan Chu, Tian Xie

Ischemic stroke (IS) is one of the top risk factors for death and disability. Meteorological conditions have an effect on IS attack. In this study, we try to develop models of medical meteorological forecast for IS attack based on machine learning and deep learning algorithms. The medical meteorological forecast would be beneficial to public health in IS events prevention and treatment. We collected data on IS attacks and climatology in each day from 18th September 2016 to 31th December 2020 in Haikou. Data on IS attacks were from the number of hospital admissions due to IS attack among general population. The random forest (RF) regression and long short-term memory (LSTM) algorithms were respectively used to develop the predictive model based on meteorological data. Performance of the model was assessed by mean squared error (MSE) and root mean squared error (RMSE). A total of 42849 IS attacks was included in this study. IS attacks were significantly decreased in winter. The pattern of climatological data was observed the regularity in seasons. For the performance of RF regression model, the MSE is 243, and the RMSE is 15.6. For LSTM model, the MSE is 36, and the RMSE is 6. In conclusion, LSTM model is more accurate than RF regression model to predict IS attacks in general population based on meteorological data. LSTM model showed acceptable accuracy for the prediction and could be used as medical meteorological forecast to predict IS attack among population according to local climate.

缺血性中风(IS)是导致死亡和残疾的首要风险因素之一。气象条件对缺血性中风的发作有影响。在这项研究中,我们尝试基于机器学习和深度学习算法开发针对 IS 攻击的医学气象预报模型。医疗气象预报将有利于公共卫生机构预防和治疗 IS 事件。我们收集了海口市2016年9月18日至2020年12月31日期间每天的IS袭击数据和气候数据。IS袭击数据来自普通人群中因IS袭击而入院的人数。在气象数据的基础上,分别使用随机森林(RF)回归和长短期记忆(LSTM)算法建立预测模型。模型的性能通过均方误差(MSE)和均方根误差(RMSE)进行评估。本研究共纳入了 42849 次 IS 袭击。结果表明,IS 在冬季明显减少。气候学数据的模式观察到了季节的规律性。RF 回归模型的 MSE 为 243,RMSE 为 15.6。总之,LSTM 模型比 RF 回归模型更准确地预测了基于气象数据的一般人群中的 IS 攻击。LSTM 模型显示了可接受的预测精度,可用作医疗气象预报,根据当地气候预测人群中的 IS 攻击。
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引用次数: 0
The impact of diurnal temperature range on the risk of hospitalizations in a low-income setting: the case of the Central Coast of Vietnam 昼夜温差对低收入地区住院风险的影响:以越南中央海岸为例。
IF 3 3区 地球科学 Q2 BIOPHYSICS Pub Date : 2024-11-21 DOI: 10.1007/s00484-024-02828-w
Hieu K. T. Ngo, Ton T. C. Tri, Dang Thi Anh Thu, Dung Phung, Tran Ngoc Dang, Kien Duc Nguyen, My H. D. Nguyen, Hoang Cong Tin, Phong K. Thai

The study aims to evaluate the effects of diurnal temperature range (DTR) on all causes, cardiovascular and respiratory conditions in the Central Coast of Vietnam, a tropical, low-income region with high DTR exposure but limited research. Daily hospital admission data from the largest hospitals in three provinces were analyzed alongside meteorological data. A time-series analysis using a generalized linear distributed lag model was conducted to examine the non-linear DTR-hospitalization association. A random-effect meta-analysis using restricted maximum likelihood was performed to calculate the pooled effects across three provinces. Stratified analyses by gender, age, season and natural disaster occurrence were conducted to identify vulnerable subpopulations. The multi-province pooled effects indicated that a 1 °C increase in DTR raised the risk of hospitalizations for all causes and respiratory diseases by 1.5% [1.2-1.8%] and 0.5% [0.0–1.0%], at lag 0–6 days. The effects of DTR on cardiovascular diseases, as well as those stratified by subgroups, were not statistically significant. Additionally, DTR had a greater adverse effect during the dry season and in the presence of natural disaster. Females and the elderly were slightly more susceptible to respiratory admissions, while males and younger individuals had a higher risk of all-cause admissions due to greater DTR effects. DTR was an independent risk factor for the exacerbation of all and specific causes, particularly among the susceptible subgroups. The findings suggested that it is necessary to take preventive measures to protect these at-risk populations from the adverse effects of extreme DTR exposure.

该研究旨在评估昼夜温差(DTR)对越南中央海岸所有病因、心血管和呼吸系统疾病的影响。研究人员对三个省最大医院的每日入院数据和气象数据进行了分析。使用广义线性分布滞后模型进行了时间序列分析,以研究 DTR 与住院之间的非线性关联。使用限制性最大似然法进行了随机效应荟萃分析,以计算三个省份的集合效应。按性别、年龄、季节和自然灾害发生情况进行了分层分析,以确定易受影响的亚人群。多省集合效应表明,在滞后 0-6 天,DTR 升高 1 °C,所有原因和呼吸系统疾病的住院风险分别升高 1.5% [1.2-1.8%] 和 0.5% [0.0-1.0%]。DTR对心血管疾病的影响以及按亚组分层的影响在统计学上并不显著。此外,在旱季和发生自然灾害时,DTR 的不利影响更大。女性和老年人略微更容易因呼吸道疾病入院,而男性和年轻人则由于 DTR 的影响更大而导致更高的全因入院风险。DTR是导致所有病因和特定病因恶化的独立风险因素,尤其是在易感人群中。研究结果表明,有必要采取预防措施,保护这些高危人群免受极度暴露于 DTR 的不利影响。
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引用次数: 0
An exploratory study of household conditions and youth personal exposure to extreme heat during a heatwave in urban Nashville, Tennessee, USA 美国田纳西州纳什维尔市热浪期间家庭条件和青少年个人暴露于极端高温的探索性研究。
IF 3 3区 地球科学 Q2 BIOPHYSICS Pub Date : 2024-11-19 DOI: 10.1007/s00484-024-02822-2
Alisa L. Hass, Adelle Dora Monteblanco

Extreme heat is the deadliest meteorological hazard and is increasingly affecting the southeastern United States. Health effects of extreme heat are often not felt for hours or days after exposure and disproportionately affect vulnerable populations (e.g., youth, minorities). Personal heat exposure research has focused on occupational and everyday heat exposure among adults. To date, heat exposure in teenage populations has not been investigated. This population has unique heat exposure patterns that result from lifestyles that include outdoor jobs (e.g., lifeguard) and participation in outdoor sports. Better understanding of these exposure patterns is needed to reduce youth exposure and illnesses during heat events. Likewise, there have been no studies comparing paired indoor home conditions with individual exposure. Participants (n = 10) wore sensors to collect six days of personal heat exposure data (temperature and humidity) and placed sensors in and around their homes to collect ambient household data. When comparing individual exposure with ambient outdoor conditions and household conditions, this study revealed that: 1) teenagers are less exposed to dangerous heat (> 37.8 °C heat index) during the day; 2) teenagers are more exposed to dangerous heat (> 23.9 °C temperature) at night; 2) some teenagers are exposed to long periods of high heat at night, which is typically a time for heat recovery; and 3) household temperatures are typically not representative of heat exposure. To better understand teen exposure, we recommend future research focus on larger, representative sample sizes, collecting exposure data during the school year, and comparing exposure between heatwave and normal summer conditions.

酷热是最致命的气象灾害,对美国东南部的影响日益严重。极热对健康的影响往往在暴露后数小时或数天才会感觉到,而且对弱势群体(如青少年、少数民族)的影响尤为严重。个人高温暴露研究主要集中在成年人的职业和日常高温暴露上。迄今为止,尚未对青少年群体的热暴露进行调查。由于生活方式包括户外工作(如救生员)和参与户外运动,青少年群体具有独特的热暴露模式。需要更好地了解这些暴露模式,以减少青少年在高温事件中的暴露和疾病。同样,目前还没有将室内家庭条件与个人暴露情况进行配对比较的研究。参与者(n = 10)佩戴传感器收集六天的个人热暴露数据(温度和湿度),并在家中和周围放置传感器收集家庭环境数据。在将个人暴露与室外环境和家庭条件进行比较时,这项研究表明1)青少年在白天暴露于危险高温(热指数大于 37.8 °C)的程度较低;2)青少年在夜间暴露于危险高温(温度大于 23.9 °C)的程度较高;2)一些青少年在夜间暴露于长时间的高温,而夜间通常是热量恢复的时间;3)家庭温度通常不能代表暴露于高温的程度。为了更好地了解青少年暴露于高温的情况,我们建议未来的研究侧重于更大、更有代表性的样本量,在学年期间收集暴露数据,并比较热浪和正常夏季条件下的暴露情况。
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引用次数: 0
Salivary heat shock protein 70 as a potential non-invasive biomarker of environmental thermal stress in dairy cattle 唾液热休克蛋白 70 作为奶牛环境热应激的潜在非侵入性生物标记物。
IF 3 3区 地球科学 Q2 BIOPHYSICS Pub Date : 2024-11-18 DOI: 10.1007/s00484-024-02826-y
Kandasamy Rajamanickam, Pasuvalingam Visha, Ayyasamy Elango, Venkatasubramanian Leela

The present study aims to explore the potential biomarker application of salivary heat shock 70 kDa protein in detecting thermal stress in dairy animals noninvasively. The study spans for 45 days during the mid-summer season (April–May), involving twelve multiparous non-pregnant adult Jersey crossbred cows by randomly allocating them into groups (six animals in each group). The control animals were maintained in the shed, whereas the thermal stress group animals were exposed to environment heat between 10:00 h to 16.00 h and they were feed and watered ad libitum. During the experimental period, the hematobiochemical, physiological, behavioural, nutritional and production responses were recorded and the whole blood and saliva were collected fortnightly. Results revealed significant increase in WBC, AST, ALP, blood urea nitrogen, triglycerides, cholesterol, HDL, blood and salivary cortisol, respiratory rate, rectal temperature, skin temperature of neck, lumbar and forelimb regions, standing time, salivary and blood HSP70 mRNA expression and their protein concentrations in heat stressed animals. In addition, RBC, haemoglobin, MCV, PCV, platelet, platelet-large cell ratio (PLCR), lying time, feed intake, milk yield and rumination time were significantly decreased in thermally stress animals. Furthermore, ROC curve analysis revealed the biomarker potential of these significantly altered parameters with 100% sensitivity and specificity for predicting environmental heat stress in dairy cows with AUC and Youden’s – index of 1.00 except platelet. Moreover, salivary HSP70 demonstrated significant correlation with these biomarkers. Noteworthily, salivary HSP70 also exhibited strong association with blood HSP70 and salivary cortisol. Furthermore, salivary HSP70 revealed 100% sensitivity and specificity in discriminating the dairy cattle succumbed to heat stress from healthy. In conclusion, the present study provides a newer insight into the multifaceted roles of HSP70 and identified salivary heat shock 70 kDa protein as a potential, reliable and more sensitive non-invasive biomarker for identifying environmental heat stress in dairy cattle.

Graphical Abstract

本研究旨在探索唾液热休克 70 kDa 蛋白在无创检测乳牛热应激方面的潜在生物标记应用。本研究在仲夏季节(4 月至 5 月)进行,为期 45 天。研究人员将 12 头多胎未孕的成年泽西杂交奶牛随机分成若干组(每组 6 头)。对照组动物在舍内饲养,而热应激组动物在 10:00 至 16:00 之间暴露在高温环境中,自由采食和饮水。实验期间,记录动物的血液生化、生理、行为、营养和生产反应,每两周采集一次动物的全血和唾液。结果表明,热应激动物的白细胞、谷草转氨酶、谷丙转氨酶、血尿素氮、甘油三酯、胆固醇、高密度脂蛋白、血液和唾液皮质醇、呼吸频率、直肠温度、颈部、腰部和前肢皮肤温度、站立时间、唾液和血液中 HSP70 mRNA 的表达及其蛋白质浓度均明显增加。此外,热应激动物的红细胞、血红蛋白、MCV、PCV、血小板、血小板-大细胞比(PLCR)、卧位时间、采食量、产奶量和反刍时间均显著下降。此外,ROC 曲线分析表明,这些明显变化的参数具有生物标记潜力,对预测奶牛环境热应激的灵敏度和特异性均为 100%,AUC 和尤登指数均为 1.00(血小板除外)。此外,唾液中的 HSP70 与这些生物标志物有明显的相关性。值得注意的是,唾液 HSP70 还与血液 HSP70 和唾液皮质醇密切相关。此外,唾液 HSP70 在区分热应激奶牛和健康奶牛方面的灵敏度和特异性均为 100%。总之,本研究为 HSP70 的多方面作用提供了一个新的视角,并确定唾液热休克 70 kDa 蛋白是一种潜在的、可靠的和更灵敏的非侵入性生物标记物,可用于识别奶牛的环境热应激。
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引用次数: 0
Planning for a cooler metropolitan area: a perspective on the long-term interaction of urban expansion, surface urban heat islands and blue-green spaces’ cooling impact 规划更凉爽的大都市区:透视城市扩张、地表城市热岛和蓝绿空间冷却影响的长期相互作用。
IF 3 3区 地球科学 Q2 BIOPHYSICS Pub Date : 2024-11-18 DOI: 10.1007/s00484-024-02814-2
Weiwu Wang, Jie He, Shuzhe Yang

Urbanization is widely acknowledged as a driving force behind the increase in land surface temperature (LST), while blue-green spaces (BGS) are recognized for their cooling effect. However, research on the long-term correlation between the two in highly urbanized areas remains limited. This study aims to fill this research gap by investigating the correlation and changes between urban expansion-induced LST rise and the cooling effect of BGS in the Hangzhou metropolitan area from 2000 to 2020. Our approach combines Geographic Information System (GIS), Remote Sensing (RS), and Google Earth Engine (GEE) cloud platforms, utilizing a random forest land use classification technique in conjunction with the Geographically and temporally weighted regression (GTWR) model. The findings reveal a strong relationship between land expansion and the intensification of the surface urban heat island (SUHI) effect. The spatial heat island effect exhibits an exponential expansion in area, with an interannual LST rise of 0.4 °C. Notably, urban centers exert the highest regional heat contribution, while remote suburbs have the most significant impact on reducing LST. The impact of BGS on LST varies, fluctuating more in areas close to urban centers and less in water-rich areas. This study contributes to a better understanding of the cooling potential of BGS in rapid urbanized Metropolitan, offering valuable insights for sustainable urban planning.

城市化被公认为是陆地表面温度(LST)上升的驱动力,而蓝绿空间(BGS)则被公认为具有降温作用。然而,在高度城市化地区,对两者之间长期相关性的研究仍然有限。本研究旨在填补这一研究空白,调查 2000 年至 2020 年杭州都市区城市扩张引起的 LST 上升与蓝绿空间降温效应之间的相关性及其变化。我们的方法结合了地理信息系统(GIS)、遥感(RS)和谷歌地球引擎(GEE)云平台,利用随机森林土地利用分类技术和地理与时间加权回归(GTWR)模型。研究结果表明,土地扩张与地表城市热岛效应(SUHI)加剧之间存在密切关系。空间热岛效应的面积呈指数扩张,年际 LST 上升 0.4 ℃。值得注意的是,城市中心对区域热量的贡献最大,而偏远郊区对降低 LST 的影响最为显著。BGS 对 LST 的影响各不相同,在靠近城市中心的地区波动较大,而在水资源丰富的地区波动较小。这项研究有助于人们更好地了解快速城市化大都市中 BGS 的降温潜力,为可持续城市规划提供宝贵的见解。
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引用次数: 0
Influence of hydrotherapy on change in weight: a narrative review 水疗对体重变化的影响:叙述性综述。
IF 3 3区 地球科学 Q2 BIOPHYSICS Pub Date : 2024-11-15 DOI: 10.1007/s00484-024-02823-1
M. Y. Manju, Geetha B. Shetty, K. J. Sujatha, Prashanth Shetty

There is a growing interest in weight loss in today’s world. Environmental factors are the main contributor behind the rapidly spreading obesity during pandemic. Exercise and diet are two controllable elements that significantly effect on energy balance., The use of cold application such as cold-water immersion, cold abdominal pack, balneotherapy, cold exposure, water drinking, steam, and sauna sessions, has shown a positive impact in weight management. This review explains the mechanism and various types of hydrotherapy applications managing weight through thermogenesis and non-shivering thermogenic pathways, which involve the brown adipose tissue, and dependent on uncoupling protein 1 (UCP1) in the inner mitochondrial membrane. Hence the present literature provides insight into use of hydrotherapy applications for future direction in weight management.

当今世界,人们对减肥的兴趣与日俱增。环境因素是肥胖症迅速蔓延的主要原因。运动和饮食是两个对能量平衡有显著影响的可控因素,而冷水浸泡、腹部冷敷包、浴疗法、冷暴露、饮水、蒸汽和桑拿浴等冷敷方法的使用对体重管理有积极影响。本综述解释了通过产热和非颤抖性产热途径控制体重的机制和各种水疗应用,这些途径涉及棕色脂肪组织,并依赖于线粒体内膜中的解偶联蛋白 1(UCP1)。因此,目前的文献为水疗应用在体重管理方面的未来发展方向提供了启示。
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引用次数: 0
Climate variability links to changes in Rioja wine (Spain) 气候变异与里奥哈葡萄酒(西班牙)的变化有关。
IF 3 3区 地球科学 Q2 BIOPHYSICS Pub Date : 2024-11-15 DOI: 10.1007/s00484-024-02816-0
Domingo F. Rasilla, Raquel Aransay, Francisco Conde-Oria

This study investigates the impact of regional climate changes on the production, quality, chemical composition, and phenological patterns of Rioja wine in Spain from 1993 to 2017. Data from DOCa Rioja and the Marqués de Riscal winery were analyzed in conjunction with meteorological and remote sensing data to provide a comprehensive evaluation. The findings reveal an increase in alcohol content and pH, coupled with a decrease in acidity, correlative to phenological shifts such as earlier grape ripening and reduced leaf canopy. Additionally, a thorough examination of monthly climate anomalies highlights the significance of May in determining harvest outcomes, influenced by the Eastern Atlantic (EA) mode of low-frequency variability. The potential connection between springtime weather conditions and tropical climate variability is also explored.

本研究调查了 1993 年至 2017 年期间区域气候变化对西班牙里奥哈葡萄酒的产量、质量、化学成分和物候模式的影响。研究结合气象和遥感数据分析了里奥哈 DOCa 和里斯卡尔侯爵酒庄的数据,以提供全面的评估。研究结果表明,酒精含量和 pH 值上升,酸度下降,这与葡萄成熟期提前和叶冠减少等物候变化有关。此外,对月度气候异常的深入研究突出表明,受东大西洋(EA)低频变异模式的影响,5 月份在决定收获结果方面具有重要意义。研究还探讨了春季天气条件与热带气候变异之间的潜在联系。
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引用次数: 0
Definition of reproductive structures in Eucalyptus for phenological data collection. 为收集物候数据定义桉树的生殖结构。
IF 3 3区 地球科学 Q2 BIOPHYSICS Pub Date : 2024-11-14 DOI: 10.1007/s00484-024-02820-4
Claudia Helena Giraldo Escobar, Marie R Keatley, Sabine Kasel, Julian Di Stefano, Craig R Nitschke

In an era where global climate change is shifting plant phenology, global meta-analyses of multiple species are required more than ever. Common language or references for enhanced data compatibility are key for such analyses. Although the Plant Phenology Ontology (PPO) addresses this challenge, it does not capture several relevant reproductive structures that are critical in species with long reproductive cycles, like many Eucalyptus species. We reviewed the terminology and concepts that describe reproductive structures in eucalypts and compared them with the existing classes of the PPO to explore the PPO's potential for harmonizing disparate eucalypt datasets. We identified incongruencies within and between eucalypt terminology and the PPO. We tested the sensitivity of the PPO for capturing key eucalypt phenological structures and found it sensitive to classification of certain structures. To address these limitations, we developed the Eucalyptus Phenology Ontology (EPO), a new ontology that builds on the PPO and captures key reproductive structures using a more refined classification. The EPO integrates the relationships between reproductive structures, phenological stages, and phenological traits. The vocabulary is species-neutral so it can be applied to other taxa but specifies the synonyms and descriptions required to capture the complexity of eucalypt phenology.

在全球气候变化改变植物物候的时代,比以往任何时候都更需要对多个物种进行全球元分析。增强数据兼容性的通用语言或参考文献是此类分析的关键。尽管植物物候本体(PPO)解决了这一难题,但它并没有捕捉到一些相关的生殖结构,而这些生殖结构对于生殖周期长的物种(如许多桉树物种)至关重要。我们回顾了描述桉树生殖结构的术语和概念,并将其与 PPO 的现有类别进行了比较,以探索 PPO 协调不同桉树数据集的潜力。我们发现了桉树术语与 PPO 之间的不协调之处。我们测试了 PPO 对捕捉关键桉树物候结构的敏感性,发现它对某些结构的分类很敏感。为了解决这些局限性,我们开发了桉树物候本体(EPO),这是一个建立在 PPO 基础上的新本体,使用更精细的分类捕捉关键的生殖结构。EPO 整合了生殖结构、物候阶段和物候性状之间的关系。该词汇表是物种中性的,因此可应用于其他类群,但也规定了捕捉桉树物候复杂性所需的同义词和描述。
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International Journal of Biometeorology
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