Community phenological patterns of a lowland tropical rainforest in north-eastern Australia

Leaf-fall, leaf-flush (newly expanded leaves), flowering and fruiting were recorded monthly between April 1982 and May 1985 in 703 individuals of 99 species of trees, shrubs and herbs in a logged lowland, complex rainforest. Weekly water availability and demand were modelled using pan evaporation, rainfall, and a range of estimated maximum soil water storage. The water balance model indicated that rainfall distribution was an inadequate measure of the seasonal availability of water for growth and reproduction. Intermittent shortages in available water were predicted between October and February, well into what is the wettest season of the year in terms of long-term rainfall averages. Adequate water was available in soil water stores through most of the August–October ‘dry season’. Leaf-fall, flowering, and fruiting all followed distinct seasonal patterns although appreciable levels of activity occurred in all months. Community leaf-fall increased rapidly following an annual low in the very wet, February–May period, to a peak in August. The rapid increase in leaf-fall activity was accompanied by pronounced depressions in flowering and leaf-flushing and coincided with the period of minimum temperatures and insolation. There was no evidence to suggest that this leaf-fall peak was accompanied or induced by drought. This ‘winter’ was followed by rising temperatures and insolation at a time when adequate soil water was usually available, and flowering activity (number of species, number of individuals, and total abundance) increased rapidly in August and peaked from September to October. The flowering peak was accompanied by a major leaf-flush. Leaf-flushing continued intermittently from October to February, a period characterized by maximum temperature, maximum insolation, and periods of predicted water stress when soil water stores were depleted during short, rainless periods. A second peak in leaf-flushing coincided with the wet in March-April. This was accompanied by a relatively small increase in leaf-fall activity. Fruiting showed a bimodal peak from October to April each year. Prediction of functional relationships between climate and species and individual behaviour from community phenological patterns was considered to be inappropriate.     

Grape harvest and yield responses to inter-annual changes in temperature and precipitation in an area of north-east Spain with a Mediterranean climate

This study presents an analysis of temperature and precipitation trends and their impact on grape harvests in the Penedès region (NE Spain). It includes analyses of maximum, minimum and mean daily temperatures (for both the growing and ripening seasons) and daily rainfall (for the hydrological year, the growing season and each phenological stage) for three observatories in the immediate area. We analysed a series of factors: beginning and end harvest dates; the day on which a given potential alcoholic degree was reached; and yield for several varieties of grape grown in the area in relation to climatic variables. Maximum temperatures increased at all the observatories, with greater values being recorded in recent years (1996–2009) than in previous decades (1960s–2000s): we observed increases in average growing season temperatures of 0.11°C per year for the period 1996–2009 vs 0.04°C per year for the period 1960–2009 at Vilafranca del Penedès. These temperature changes were due mainly to increases in maximum temperatures and an increase in the incidence of extreme heat (number of days with T > 30°C). Crop evapotranspiration also increased significantly during the same period. The Winkler index also increased, so the study area would correspond to region IV according to that climatic classification. There were no significant trends in annual rainfall but rainfall recorded between bloom and veraison decreased significantly at the three observatories, with the greatest decrease corresponding to the period 1996–2009. The dates on which harvests started and ended showed a continuous advance (of between −0.7 and −1.1 days per year, depending on the variety), which was significantly correlated with the average mean and maximum daily growing season temperatures (up to −7.68 days for 1°C increase). Winegrape yield was influenced by the estimated water deficit (crop evapotranspiration minus precipitation) in the bloom-veraison period; this value increased due to a reduction in precipitation and an increase in evapotranspiration. Yield may have been reduced by up to 30 kg/ha for each millimetre increase in the estimated water deficit. Under these conditions, new strategies need to be followed in this area in order to maintain grape quality and yield.     

Model for forecasting Olea europaea L. airborne pollen in South-West Andalusia, Spain

Data on predicted average and maximum airborne pollen concentrations and the dates on which these maximum values are expected are of undoubted value to allergists and allergy sufferers, as well as to agronomists. This paper reports on the development of predictive models for calculating total annual pollen output, on the basis of pollen and weather data compiled over the last 19 years (1982–2000) for Córdoba (Spain). Models were tested in order to predict the 2000 pollen season; in addition, and in view of the heavy rainfall recorded in spring 2000, the 1982–1998 data set was used to test the model for 1999. The results of the multiple regression analysis show that the variables exerting the greatest influence on the pollen index were rainfall in March and temperatures over the months prior to the flowering period. For prediction of maximum values and dates on which these values might be expected, the start of the pollen season was used as an additional independent variable. Temperature proved the best variable for this prediction. Results improved when the 5-day moving average was taken into account. Testing of the predictive model for 1999 and 2000 yielded fairly similar results. In both cases, the difference between expected and observed pollen data was no greater than 10%. However, significant differences were recorded between forecast and expected maximum and minimum values, owing to the influence of rainfall during the flowering period. Received: 25 October 2000 / Revised: 26 February 2001 / Accepted: 28 February 2001     

Dramatic change in local climate patterns in the Amboseli basin, Kenya

The Amboseli basin, a semi‐arid, open savannah area of southern Kenya, has experienced extensive changes in habitat since the early 1960's. The present report documents patterns of air temperature and rainfall in Amboseli for the 25‐year period beginning 1976. Daily temperatures increased dramatically throughout this time period, at a rate almost an order of magnitude greater than that attributed to global warming. Mean daily maximum temperature increased more than did daily minimum (0.275 vs. 0.071°C per annum). Although increases in mean daily maxima were documented for all months of the year, they were greatest during the hottest months, February and March. Annual rainfall varied more than four‐fold (x = 346.5 mm, SD = 120.0, range 132.0–553.4 mm), yet did not exhibit any directional or other regular pattern of variability among years over this same 25‐year period. Empirical as well as theoretical investigation of relations between such changes in climatic conditions and habitat characteristics are needed at local and regional as well as global scales.     

Long-term needle litterfall of a Scots pine Pinus sylvestris stand: relation to temperature factors

Summary Needle litterfall of a Scots pine was caught over 24 years (1962–1986) with litter-traps in a Scots pine stand in southeastern Finland. The age of the trees averaged 111 years in 1962. The stand was naturally recruited and only minor silvicultural treatments occurred during its history. Litterfall showed great year-to-year variation, the minimum being 18 g/m² (in 1968) and maximum 213 g/m² (in 1973). There was no overall trend in the amount of litterfall, and the age of the stand was thus not important in determining the needle fall. We used time domain time series analysis (ARIMA) and standard climatic data (temperature, precipitation) to investigate the relationship of litterfall to climatic factors. Mean July temperature was clearly correlated with needle litterfall. High temperature in July coincided with enhanced litterfall in the same and the next year. Litterfall enhanced litterfall in the same and the next year. Litterfall increased also after high temperatures during March–April, but only in the same year. In addition to these the litterfall had a 4-year self-dependency. This is approximately the same as the mean longevity of needles in the study area. Altogether the time series model we propose covers about 90% of the variance of the original time series.     

Population dynamics of Bactrocera dorsalis (Diptera: Tephritidae) and analysis of the factors influencing the population in Ruili, Yunnan Province, China

Annual monitoring of the population dynamics of the oriental fruit fly, Bactrocera dorsalis (Hendel) (Diptera: Tephritidae) using methyl eugenol-baited traps was conducted throughout the year during 1997, 2000, 2003 and 2004 in Ruili, Yunnan Province, China. Temperature, rainfall and host-plant species were analyzed with respect to population fluctuation of the fly. During the study periods the fruit fly occurred throughout the year. Its population remained low from November to January and increased steadily from February until it reached a peak in June. Afterwards, the population declined until October. The results of stepwise regression analysis indicated that monthly mean temperature, monthly mean maximum temperature, monthly mean minimum temperature, monthly extreme maximum temperature, monthly extreme minimum temperature, and monthly raining days were the major climatic factors influencing populations. Path and decision coefficient analyses indicated that the monthly mean temperature was the crucial factor influencing population fluctuation, the monthly mean minimum temperature was the crucial limiting factor indirectly influencing increase in population, and the comprehensive factors influencing fly population dynamics, namely, the monthly raining days were the strongest of all the other factors. Generally, the monthly mean temperatures fell within the ranges of temperatures suitable for development and reproduction of the fly. But the monthly mean minimum temperatures from November to January seemed to be lower and were suggested to be responsible for the low populations in this period. Monthly rainfall and rainy days steadily increased from February through June, and this explained the increase in population observed during this period. During periods of continuous heavy rain from July through August, the fruit fly population showed a remarkable decrease. Host plant species was another essential factor influencing the population fluctuations. Abundant fruit and melon species formed the food and breeding materials for the fly during the study periods.     

Influence of air temperature on the first flowering date of Prunus yedoensis Matsum

Climate change is expected to have a significant effect on the first flowering date (FFD) in plants flowering in early spring. Prunus yedoensis Matsum is a good model plant for analyzing this effect. In this study, we used a degree day model to analyze the effect of air temperatures on the FFDs of P. yedoensis at Wuhan University from a long-time series from 1951 to 2012. First, the starting date (=7 February) is determined according to the lowest correlation coefficient between the FFD and the daily average accumulated degree days (ADD). Second, the base temperature (=−1.2°C) is determined according to the lowest root mean square error (RMSE) between the observed and predicted FFDs based on the mean of 62-year ADDs. Finally, based on this combination of starting date and base temperature, the daily average ADD of every year was calculated. Performing a linear fit of the daily average ADD to year, we find that there is an increasing trend that indicates climate warming from a biological climatic indicator. In addition, we find that the minimum annual temperature also has a significant effect on the FFD of P. yedoensis using the generalized additive model. This study provides a method for analyzing the climate change on the FFD in plants'' flowering in early spring.     

Population dynamics of Bactrocera dorsalis (Diptera: Tephritidae) and analysis of the factors influencing the population in Ruili, Yunnan Province, China

Annual monitoring of the population dynamics of the oriental fruit fly, Bactrocera dorsalis (Hendel) (Diptera: Tephritidae) using methyl eugenol-baited traps was conducted throughout the year during 1997, 2000, 2003 and 2004 in Ruili, Yunnan Province, China. Temperature, rainfall and host-plant species were analyzed with respect to population fluctuation of the fly. During the study periods the fruit fly occurred throughout the year. Its population remained low from November to January and increased steadily from February until it reached a peak in June. Afterwards, the population declined until October. The results of stepwise regression analysis indicated that monthly mean temperature, monthly mean maximum temperature, monthly mean minimum temperature, monthly extreme maximum temperature, monthly extreme minimum temperature, and monthly raining days were the major climatic factors influencing populations. Path and decision coefficient analyses indicated that the monthly mean temperature was the crucial factor influencing population fluctuation, the monthly mean minimum temperature was the crucial limiting factor indirectly influencing increase in population, and the comprehensive factors influencing fly population dynamics, namely, the monthly raining days were the strongest of all the other factors. Generally, the monthly mean temperatures fell within the ranges of temperatures suitable for development and reproduction of the fly. But the monthly mean minimum temperatures from November to January seemed to be lower and were suggested to be responsible for the low populations in this period. Monthly rainfall and rainy days steadily increased from February through June, and this explained the increase in population observed during this period. During periods of continuous heavy rain from July through August, the fruit fly population showed a remarkable decrease. Host plant species was another essential factor influencing the population fluctuations. Abundant fruit and melon species formed the food and breeding materials for the fly during the study periods.     

云南瑞丽桔小实蝇成虫种群数量变动及其影响因子分析

分别于1997、2000、2003和2004年通过诱蝇谜对云南瑞丽桔小实蝇种群动态进行了全年监测,并就气候因子及寄主植物对该种群变动的影响进行了系统分析.结果表明,桔小实蝇在瑞丽常年发生,当年11月至翌年1月份,桔小实蝇种群处于较低水平,2月份以后种群数量逐渐上升,至6月份形成种群的年增长高峰,此后至10月份种群数量迅速下降.经逐步回归分析表明,月均温、月平均最高温、月平均最低温、月极端最高温、月极端最低温和月雨日数是影响瑞丽桔小实蝇种群月变动的主要气候因子.通径分析和决策系统分析表明,月均温对种群数量变动具有正效应,是直接影响桔小实蝇种群变动的重要指标,月均最低温是影响种群增长的最主要的限制因素,月雨日数对种群动态的综合影响力最大.瑞丽各月平均温度位于桔小实蝇各虫态生长发育温度范围内,但11～翌年1月份的月均最低温低于桔小实蝇的适温范围,对桔小实蝇种群数量有一定抑制作用.2～5月份雨日数逐渐增多,雨量逐渐增大,有利于种群数量增长;7～8月份持续的强降雨过程被认为是桔小实蝇在该时期种群数量下降的主要原因.而瑞丽的多种瓜果成熟期的交替出现保证了桔小实蝇的食物供应.     

Airborne concentrations ofBotrytis, Uncinula andPlasmopara spores in a vineyard in Leiro-Ourense (N.W. Spain)

Three important phytopathogenic spores which cause serious fungal diseases on vines (Botrytis, Uncinula andPlasmopara) were monitored from June 2, 1994 to September 21, 1994, in vineyards belonging to ‘Estación de Enoloxía e Viticultura’ of Ponte San Clodio-Leiro (Ourense), one of the most important vine growing areas of northwest of Spain. The concentrations for each of the genera were correlated with rainfall, humidity, maximum, minimum and average temperatures. These meteorological parameters are currently used to determine chemical sprays to be applied to the vines. The aim was to establish the behaviour of airborne concentrations of spores of these taxa during the period from the flowering to harvest because these are the periods of greatest susceptibility to attack by these pathogens.     

Seasonal changes in hair roots and mycorrhizal colonization in Woollsia pungens (Cav.) F. Muell. (Epacridaceae)

The proportion of the root system comprising hair roots and their ericoid mycorrhizal colonization have been estimated in Woollsia pungens (Cav.) F. Muell. (Epacridaceae) at a site in New South Wales, Australia over a 12 month period. The technique used was a modification of the grid-line intercept method. Hair roots persisted and comprised at least about 50% of the root system all year round. The percentage of root length that was hair root varied with the season, being lowest in April/May (50%) and highest in October (70%). Hair root colonization differed significantly over the 12 month period, being highest over the winter to spring period (June–Oct) but there were infected hair roots present at all times of the year. There was a significant negative relationship between the percentage hair root length infected and log₁₀ transformations of both mean daily maximum and minimum temperatures, but no correlation with rainfall or soil moisture content. These findings contrast with those for south-west Australia where hair roots (and mycorrhizal colonization) are reported to disappear in summer.     

Changes of the Flowering Time of Trees in Spring by Climate Change in Seoul,South Korea

Flowering onset has attracted much attention in ecological research as an important indicator of climate change. Generally, warmer temperatures advance flowering onset. The effect of climate warming on flowering onset is more pronounced in spring because the difference between atmospheric and water temperatures creates more rapid convection than in other seasons. We analyzed the correlation between 73 species of spring woody plants in Hongneung Arboretum in Seoul, South Korea and the spring minimum temperature and average precipitation over the past 50 years (1968–2018). The spring minimum temperature and average precipitation have increased over the past 50 years, resulting in the advance of the first flowing date (FFD) in all 73 species by 8.5 days on average. A comparison of FFD changes over time by dividing the survey period into three time periods confirmed the advance of the FFD in 50 species (68% of investigated species) by 11.1 days on average in both Period 2 (1999–2008) and Period 3 (2009–2018) relative to Period 1 (1968–1975). Additionally, a delay of the FFD by 3.2 days on average was observed in 8 species. The FFD of Lonicera chrysantha (Caprifoliaceae) advanced by over 40 days and was highly correlated with the increased spring minimum temperature. Analysis of the sensitivity of plant responses to climate change revealed that a temperature rise of 1°C was associated with an FFD advance of 1.2 days in all species. The species that was most sensitive to temperature change was Spiraea pubescens for. leiocarpa (Rosaceae), whose FFD advanced by 4.7 days per 1°C temperature rise. Each increase in precipitation by 1 mm was found to result in a 0.1-day advance of the FFD of all species. Prunus tomentosa (Rosaceae) was the most sensitive species, that advanced by 2.6 days for each 1 mm increase in precipitation. Thus, for all species, the FFD was more sensitive to the change in temperature than in precipitation. Assuming that the current greenhouse gas (GHGs) emission levels or atmospheric CO₂ concentration is maintained, Seoul’s spring minimum temperature is projected to rise by 2.7°C over the next 50 years. Accordingly, considering only the global temperature change, the mean FFD of the study’s 73 species is projected to advance by an additional 3.4 days.     

Effects of experimentally imposed climate scenarios on flowering phenology and flower production of subarctic bog species

Climate scenarios for high‐latitude areas predict not only increased summer temperatures, but also larger variation in snowfall and winter temperatures. By using open‐top chambers, we experimentally manipulated both summer temperatures and winter and spring snow accumulations and temperatures independently in a blanket bog in subarctic Sweden, yielding six climate scenarios. We studied the effects of these scenarios on flowering phenology and flower production of Andromeda polifolia (woody evergreen) and Rubus chamaemorus (perennial herb) during 2 years. The second year of our study (2002) was characterized by unusually high spring and early summer temperatures. Our winter manipulations led to consistent increases in winter snow cover. As a result, average and minimum air and soil temperatures in the high snow cover treatments were higher than in the winter ambient treatments, whereas temperature fluctuations were smaller. Spring warming resulted in higher average, minimum, and maximum soil temperatures. Summer warming led to higher air and soil temperatures in mid‐summer (June–July), but not in late summer (August–September). The unusually high temperatures in 2002 advanced the median flowering date by 2 weeks for both species in all treatments. Superimposed on this effect, we found that for both Andromeda and Rubus, all our climate treatments (except summer warming for Rubus) advanced flowering by 1–4 days. The total flower production of both species showed a more or less similar response: flower production in the warm year 2002 exceeded that in 2001 by far. However, in both species flower production was only stimulated by the spring‐warming treatments. Our results show that the reproductive ecology of both species is very responsive to climate change but this response is very dependent on specific climate events, especially those that occur in winter and spring. This suggests that high‐latitude climate change experiments should focus more on winter and spring events than has been the case so far.     

Seasonal Patterns of Flowering and Fruiting in a Dry Tropical Forest in Jamaica1

Tropical dry forests occupy more area and are more endangered than rainforests, yet their regeneration ecology has received less study and is consequently poorly understood. We recorded the flowering and fruiting phenology of a tropical dry forest in Jamaica over a period of 26 mo within ten 15 × 15‐m plots. Community‐wide recruitment reached a maximum in the wet season, whereas no recruitment occurred during the dry season. We observed a unimodal peak in rainfall and fruit production, and the periodicity and intensity of seed production were significantly correlated with rainfall seasonality (the optimal time for germination). Flowering at the community and system levels lagged behind a significant increase and subsequent decrease in rainfall by 7 and 3 mo, respectively, indicating that the dominant factor controlling flowering periodicity is the passage of the major (4‐mo long) rainy season and changes in soil moisture conditions. Fruiting lagged behind flowering by 2 mo and a significant increase in fruiting occurred 2 mo prior to a significant increase in rainfall. At the population level, a correspondence analysis identified a major dichotomy in the patterns of flowering and fruiting between species and indicated two broad species groups based on their time of peak fruiting and the number of times they were in fruit. These were either individuals which were usually in peak fruit 1–2 mo prior to the start of the major rainy season or those that were in fruit more or less continuously throughout the year with no peak fruiting time. This study supports the view that seasonal variation in rainfall and hence soil water availability constitutes both the proximate and the ultimate cause of flowering periodicity in tropical dry forests.     

Response of Chestnut Flowering in Beijing to Photosynthetically Active Radiation Variation and Change in Recent Fifty Years

Climate warming has affected plant phenology throughout the world, but few studies have evaluated plant phenology response to other climate factors (eg. photosynthetically active radiation PAR). In particular, the response of fruit flowering to PAR variation has not been explored yet. Long term (1963-2008) of chestnut (Castanea mollissima Blume) first flowering dates from Beijing, China were related with daily PAR for the 12 months, using Partial Least Squares (PLS) regression analysis. Two relevant phases were identified, during which mean PAR, temperature, and relative humidity (RH) were correlated with flowering dates, respectively. PAR during the both relevant periods decreased significantly in Beijing over the past 50 years. Reduced PAR during 24 September 5 February showed an advance impact on chestnut flowering, and could explain 12% of advance trend in flowering timing. Deceased PAR during 6 February 31 May had a delayed effect on tree flowering, but it was not significant enough to reject the null hypothesis of no impact over time. Advanced flowering of chestnut was mainly determined by increasing temperature between 6 February and 31 May which could explain 41% of flowering trend. Relative humidity variation during this period played secondly important role on tree flowering. Considering the interaction among these three climate factors, the impacts of PAR and RH on flowering timing could partially be attributed to the effects of temperature variation.     

中国北方主产地苹果冷热积累变化及其对始花期的影响

开展气候变化背景下苹果冷热积累变化及其对始花期的影响研究,对指导苹果种植及生产具有重要意义。本研究选取山东福山、山西万荣、甘肃西峰和新疆阿克苏代表中国北方苹果主产地,利用1996—2018年红富士苹果的始花期观测资料和逐时气温数据,采用动态模型、生长度小时模型分别计算逐日冷积累量(CP)和热积累量(GDH),并利用偏最小二乘回归法,对逐日冷、热积累量和各地苹果始花期进行相关分析,以明确各地苹果冷、热积累起止日期和积累量,以及冷、热积累期内温度变化对始花期的影响规律。结果表明: 我国北方主产地苹果冷积累时段集中于10月1日前后至2月中下旬或3月中旬,积累量为74.1～89.3 CP;热积累时段集中于1月下旬前后至始花期,积累量为4010～5770 GDH。西峰和阿克苏冷积累期内平均气温每升高1 ℃,冷积累量将分别增加3.8和5.0 CP;各地热积累期内平均气温每升高1 ℃,热积累量将增加725～967 GDH。与冷积累期内温度变化的影响效应相比,热积累期内温度变化主控我国北方主产地苹果始花期,且气候变暖总体有利于冷积累期内平均气温较低地区的苹果开花和生产。     

樱花始花期预报方法

根据对1981—2016年36年武汉大学樱园日本樱花始花期的记录资料及同期气象资料的研究分析表明:(1)樱花始花期提前,但变化趋势不明显,变率特别大,平均始花期为3月14至15日(闰年为13至14日);(2)为改进始花期预报方程,计算1月1日及2月1日至开花前期2月25日、2月底、3月5日、3月10日、3月15日的活动积温,发现积温与始花期相关性显著,可作为樱花始花期预报方程的因子;(3)分析始花期与1月1日及2月1日至开花前期2月25日、2月底、3月5日、3月10日、3月15日累计日照时数关系,发现始花期与累计日照时数呈负相关;(4)用活动积温作为预报因子改进始花期预报方程预报始花期,有效地提高了预报准确率。     

西安和宝鸡木本植物花期物候变化及温度敏感度对比

植物物候是指示生态系统对气候变化响应的重要证据。已有研究多基于代表性站点的物候观测数据研究物候特征及其对气候变化的响应规律。同一气候区内,不同站点的物候变化及对温度变化响应的敏感度是否一致仍需深入探讨。本文选择同属于暖温带湿润区汾渭平原气候区的西安和宝鸡为研究区,利用"中国物候观测网"在两个站点21个共有物种的开花始期和开花末期数据,比较了1987—2016年两站点各植物花期物候变化特征及其对温度变化响应的敏感度差异。结果表明,西安和宝鸡各物种的开花始期和开花末期均以提前趋势为主。大部分物种开花始期在西安的提前趋势(平均趋势-0.57 d/a)明显强于在宝鸡的提前趋势(平均趋势-0.29 d/a),但开花末期趋势差异不显著。除紫薇和迎春的敏感度差异较大外,其他物种开花始期和开花末期的温度敏感度在两站点间非常接近,无显著差异。由此可见,在同一气候区的不同站点,因增温幅度不同,植物的始花期变化存在较大差异,不能用单站点的物候变化反映整个气候区的物候变化。但同一植物在单站点的温度敏感度可以较好的反映同一气候区其他站点的植物物候-气候关系。本文研究结果可为利用有限站点的物候观测数据分析区域物候...     

Herbarium specimens demonstrate earlier flowering times in response to warming in Boston

Museum specimens collected in the past may be a valuable source of information on the response of species to climate change. This idea was tested by comparing the flowering times during the year 2003 of 229 living plants growing at the Arnold Arboretum in Boston, Massachusetts, USA, with 372 records of flowering times from 1885 to 2002 using herbarium specimens of the same individual plants. During this period, Boston experienced a 1.5°C increase in mean annual temperature. Flowering times became progressively earlier; plants flowered 8 d earlier from 1980 to 2002 than they did from 1900 to 1920. Most of this shift toward earlier flowering times is explained by the influence of temperature, especially temperatures in the months of February, March, April, and May, on flowering time. Plants with a long flowering duration appear to be as useful for detecting responses to changing temperatures as plants with a short flowering duration. Additional studies using herbarium specimens to detect responses to climate change could examine specimens from specific, intensively collected localities, such as mountain peaks, islands, and unique habitats.