Annual Patterns Research Articles

New horizons in the reproductive biology of Chinese pangolin (Manis pentadactyla) using the gonadal hormonal profile

The reproductive uniqueness of pangolins has been documented through diverse biological reports with discernible data discrepancies in gestation, copulation, and pregnancy. These mechanistic reproductive differences have yet to be endocrinologically quantified, which could assist in optimizing natural breeding in zoos to recover endangered species. The present research characterizes the Chinese pangolin's annual seasonal reproductive pattern by measuring immunoreactive estrogens and progestagens in 34 captive females and testosterone in 29 captive males. Our results showed that Chinese pangolins are seasonal breeders, with most births witnessed during Sept–Dec, overlapping with the field records. Females exhibited spontaneous ovulation and post-partum ovulation. Pregnant females exhibited a higher P4 level for ~ 9 months (Jan–Sept) and decreased before parturition (Oct–Dec). The circulating E2 is maintained at the baseline in pregnant females year-round. Contrastingly, in non-pregnant females, P4 is maintained at the baseline, apart from a slight elevation in January, and E2 demonstrates a sudden hike from November and remains elevated until February, suggesting the onset of ovulation. The serum testosterone concentration in males peaked during October, which is in sync with the female ovulation period. As a result that their major reproductive events, ovulation, mating, and parturition, all transpire in November-March. Evidence also supports that Chinese pangolins exhibit signs of postimplantation (pregnancy) ranging only from 5 to 6 months (May–Oct), preceded by possible facultative delay implantation triggered by lactation. The provided data not only fill in the knowledge gap for this critically endangered species but can also assist in making informed decisions, which can directly affect the successful breeding of this species in captivity.

Seasonal changes in submarine melting mechanisms controlling frontal ablation of Hansbreen, Svalbard

Abstract We describe the annual pattern of frontal ablation driven by submarine melting mechanisms at the Hansbreen terminus: these are reflected in the intensity and spatial distribution of calving events. Analysis of time-lapse images of the Hansbreen front in conjunction with oceanographic and meteorological data shows that calving intensity is driven primarily by seawater temperature. Regression analysis also highlights the importance of air temperature, which we take to be a proxy for surface ablation and subglacial discharge. This, combined with seasonal changes in ice cliff tortuosity and the increasing significance of wave motion outside the ablation season, enabled us to determine seasonal changes in the mechanisms of ice cliff undercutting by submarine melting. While submarine melting controlled by estuarine circulation primarily drives frontal ablation in summer, wave-driven melting at the waterline is more important outside the ablation season. During winter, ice cliff undercutting by melting is suspended by low seawater temperature, negligible subglacial water discharge and sea-ice cover. The most intense frontal ablation, recorded in summer, was related to higher sea temperature and vigorous estuarine circulation.

The characteristic large-scale annual analysis by gender and age in heart failure patients: cohort for 10 years in Korea.

The prevalence and incidence rate of heart failure (HF) continues to increase along with the aging of the population and the increase of ischaemic heart disease. The morbidity and mortality of HF are also on the rise in the industrialized countries; it can be a great public health problem. A detailed and accurate analysis of the demographical incidence and prevalence of HF is an important first step in predicting the occurrence of the disease in the future and proper preparing for prevention. Here, we aimed to analyse the annual prevalence and incidence of HF by gender and age using long-term national health insurance service data in the Republic of Korea. A total of 47243 patients newly diagnosed with HF between 2006 and 2015 among nationally representative random subjects of 1000000 were included. The data of age and gender were analysed by year, and the total population information of the Ministry of Land, Infrastructure, and Transport of Korea was referred to compare the data of HF patients with the total population (2008-15). Over the decade from 2006 to 2015, the prevalence of HF patients showed tendency of increase (P<0.001). The overall incidence rate was also gradually increasing (P<0.001), but in women, it tended to decrease gradually. Women significantly accounted higher than the male group in incidence of HF over the period (54.6% vs. 45.4%, P<0.001). The mean age at the time of diagnosis gradually increased (P=0.002 for total, P=0.001 for each gender). Total incidence was highest in 70s (27.22%), but males were the most in their 60s and females were in their 70s. Analysis of annual trend by age and gender distribution of HF incidence in men presented highest in the 50s-70s with a similar pattern annually, and the incidence is increasing more recently. Different from that of men, in the case of women, the incidence gradually increased with age in a similar annual pattern, peaking in their 70s and gradually decreasing in recent years. The prevalence and incidence of HF are gradually increasing. It increased rapidly in their 50s and older. It showed an increased incidence of HF especially in men between their 50s and 70s, and more observation and caution for the management of the risk factors may be needed to prevent HF in the male group.

Phenology, sex-ratio and protandry in three stag beetle species (Lucanidae) from central Italy

ABSTRACT This study examines the annual activity patterns and variation in sex ratios across different months of the year for three Lucanidae species (Lucanus cervus, Lucanus tetraodon and Dorcus parallelipipedus) in three distinct regions of central Italy. The results reveal significant differences in the month-by-month activity patterns among the species, indicating that each species has its own unique activity pattern. Specifically, L. cervus shows activity from May to September, with the highest peak between 10 and 30 June. This species remains significantly active until the end of July. Lucanus tetraodon, on the other hand, exhibits activity from June to August, with a notable peak during the last 10 days of July. Dorcus parallelipipedus displays an extended activity phase, with peaks in the first 20 days of June and the middle of July. Interestingly, various individuals of this species were also observed in November, December and February. The prolonged activity pattern of D. parallelipipedus is primarily due to overwintering adults and overlapping generations. Both Lucanus species demonstrate clear protandry, where males dominate in the initial phase, followed by a more balanced sex ratio and even female dominance in the subsequent phase. In D. parallelipipedus, the trend in sex ratio is less apparent, likely because of overlapping generations and the survival of adults for 2–3 years. The different activity patterns observed between Lucanus species can be attributed to (1) their distinct geographical distributions, with one species better adapted to temperate climates and initiating activity earlier than the strictly Mediterranean species, and (2) a possible division of temporal niches to minimise reproductive interference, reducing the chances of interspecies encounters and cross-mating.

Sustainable performance of French bean (Phaseolus vulgaris L.) cultivation, a livelihood component in Eastern Himalayan Region

ABSTRACTThis paper attempts to measure the sustainable performance of French bean (Phaseolus vulgaris L.) cultivation, a livelihood component in Eastern Himalayan Region (EHR). The objectives of the study were to examine the role, and the sustainable performance of French bean as a livelihood component in EHR. Altogether, 240 French bean growers had included from two selected districts of Nagaland, EHR. The contribution of French bean cultivation, contribution from other livelihood activities and annual expenditure pattern, 12 parameters under each of 4 indicators (economic, social, human and environmental) of sustainability were assessed. A relationship was established between the sustainability index and the livelihood index. French bean cultivation was ranked as the first, and other livelihood activities in descending order are; livestock-based, crop-based (excluding French bean), Off-farm, and forest-based livelihood. Despite less income from French bean cultivation than other countries, it is contributing about 43.00% to annual income and 73.00% to the yearly expenditure of growers. Thus French bean cultivation is a sustainable livelihood component. The study adopted a framework that can assess the sustainable performance of other crops/activities under similar/different agroecology. The policy process should emphasize higher productivity and more income from it and bring all-round development of the EHR.

Phytoplankton as indicators of global warming?

AbstractTerrestrial plants are sensitive indicators of global warming because their annual cycles of growth and senescence are changing as warming proceeds. Single celled algae are distinct life forms capable of population bursts in any season, so there is uncertainty about phytoplankton phenology as a comparable indicator of global warming. We analyzed 4+ decades of monthly chlorophyll a measurements at two sites in San Francisco Bay and found abrupt shifts during summer months leading to a 48‐day advance in the annual pattern of chlorophyll‐a accumulation at one site and a 36‐day delay at the other. These large phenological changes were not associated with changing temperature, but they were associated with changes in top–down control by bivalve filter feeders as biological communities were restructured by (1) introduction of a non‐native clam, and (2) a shift in atmospheric forcing of the NE Pacific. This study illustrates that changes in phytoplankton phenology are not necessarily responses to or indicators of global warming. However, they can be indicators of human disturbances and natural climate oscillations having effects large enough to mask the effect of climate warming.

The extreme precipitation and added value of East Asia regional reanalysis system

AbstractIn the study, we evaluate extreme precipitation of the East Asia regional reanalysis system (EARS‐CMA), ERA‐Interim and ERA5 applying Tropical Rainfall Measuring Mission 3B42V7 (TRMM), Climate Prediction Center Morphing Method satellite‐gauge blended product (CMORPH) and CN05.1 over land‐only East Asia in 2008–2017. The added value of EARS‐CMA is also calculated to identify the small‐scale processes at different timescales and spatial resolutions. Compared to TRMM, CMORPH has a better agreement with CN05.1 for the annual, summer and winter spatial pattern and amplitude of most extreme precipitation indices. EARS‐CMA is capable to reproduce amplitude and locations of most extreme precipitation indices for annual and summertime precipitation over China mainland against CN05.1. For land‐only East Asia, ERA5 can reproduce the closest spatial features of various extreme precipitation indices to CMORPH for annual, summer and winter precipitation, followed by EARS‐CMA. All reanalysis datasets show worse skill on the spatial characteristics of duration indicators than on other extreme precipitation indices against CN05.1, but perform better than TRMM and CMORPH. The real added value, potential added value and relative added value of EARS‐CMA show that EARS‐CMA can capture the mesoscale processes over south China, Yangtze River basin, Tibetan Plateau and Indo‐China efficiently, especially the daily and subseasonal timescales over the Tibetan Plateau subregion, which benefits from fine‐scale topographical detail over the complex terrain region in the regional climate model. Also, higher extreme precipitation of aggregating EARS‐CMA than ERA‐Interim can be obtained at the same resolution, which implies that the added value obtained with EARS‐CMA is not merely the contribution of a higher resolution, but also the physical processes resolved by the dynamical downscaling technique.

Global distinct variations of surface urban heat islands in inter- and intra-cities revealed by local climate zones and seamless daily land surface temperature data

The continuous dynamic of surface urban heat island (SUHI) effect is highly needed in urban climate studies. However, temporal variations of SUHI intensity (SUHII) have been understudied in previous studies owing to the lack of spatially seamless and temporally continuous land surface temperature (LST) data, particularly in urban domains. Also, the relationship between SUHII variations and heterogeneous landscapes, reflecting various thermal and biophysical properties, has not been comprehensively explored globally. Here, we investigated the annual dynamic of nighttime SUHII and the inter- (i.e., city level) and intra-city (i.e., local climate zones level) SUHII variations of 1,028 worldwide cities, using the annual temperature cycle (ATC) model and seamless daily LST data and local climate zones (LCZ) data. The results reveal that the annual mean SUHII (SUHIIM) in urban areas is 0.69 °C for nighttime with an increasing trend towards high latitudes, while the annual SUHII amplitude (SUHIIA) is 0.32 °C and is relatively stable along latitudes. Global SUHIIM and SUHIIA indicate a robust pattern that decreases with decreasing buildings’ height (i.e., from LCZ1 to LCZ3 and from LCZ4 to LCZ6) and increasing openness of building layout (i.e., from compact to open types). In contrast, the annual pattern of LST is mainly regulated by the background climate. The phase shift (i.e., day of year when the LST reaches its maximum value) of annual SUHII shows a distinct time lag effect along the LCZ gradient in cold climate zone. These findings are valuable for scientific planning of resilient cities and can mitigate the impact of heat islands on urban residents by optimizing the composition and configuration of urban landscapes, e.g., changing the height and morphology of buildings.

Modification and validation of a new method to improve the accuracy of MODIS-derived dew point temperature over mainland China

ABSTRACT MODIS atmospheric profile products (MOD07_L2 and MYD07_L2) have been widely used for near-surface dew point temperature () estimation. However, their accuracy over large scale has seldom been evaluated. In this study, we validated these two products comprehensively against 2153 stations over mainland China. MOD07_L2 was suggested by our study because it achieved higher accuracy in either of two frequently-used methods. To be specific, the root-mean-square error (RMSE) achieved by MOD07_L2 and MYD07_L2 was 5.82 and 7.42 °C, respectively. On this basis, a recent ground-based correction method was modified to further improve their accuracy. Our focus is to investigate whether this ground-based approach is applicable to large-scale remote sensing applications. The results show that this new method showed great potential for estimation independently from ground observations. Through the introduction of MODIS land surface products, the RMSE it achieved for MOD07_L2 and MYD07_L2 was 5.23 and 5.59 °C, respectively. Further analysis shows that it was particularly useful in capturing the annual average patterns. The R2 , RMSE, and bias of annual average daily mean estimates were 0.95, 1.84 °C, and 0.53 °C, and those achieved for annual average instantaneous estimates were 0.94, 2.09 °C, and 0.75 °C, respectively.

Predicting Exotic Annual Grass Abundance in Rangelands of the Western United States Using Various Precipitation Scenarios

Expansion of exotic annual grass (EAG), such as cheatgrass (Bromus tectorum L.) and medusahead (Taeniatherum caput-medusae [L.] Nevski), could cause irreversible changes to arid and semiarid rangeland ecosystems in the western United States. The distribution and abundance of EAG species are highly affected by weather variables such as temperature and precipitation. The study's goal is to understand how different precipitation scenarios affect EAG abundance estimates and dynamics, and we develop a machine learning modeling approach to predict how changes in annual and immediate past precipitation patterns could affect the abundance of EAG. The machine learning predictive model used seed source from previous years, weather variables, and soil profiles to drive its predictions. We achieved excellent training accuracy (r = 0.95 and median absolute error [MdAE] = 2.36% cover) and strong test accuracy (r = 0.79 and MdAE = 4.54% cover). We developed five versions of EAG abundance maps for 2022 with different precipitation scenarios: 9 yr of average precipitation, half of the average, three-fourths of the average, one and one-half times the average, and two times the average. The approach presented can be replicated to new study domains and easily modified for use with other precipitation scenarios. Developing multiple versions of a year's EAG spatially explicit abundance dataset predictions from multiple weather-based scenarios can provide important information to land managers as they prepare for variable EAG dynamics each year. Informed annual predictions based on weather scenario−driven models have the potential to improve fire preparation decisions.

Asparagus (Asparagus officinalis L.) Root Distribution: Cultivar Differences in Mature Plantings

Annual plant growth patterns and seasonal conditions have both been shown to influence asparagus (Asparagus officinalis L.) root development over time. Root biomass and distribution changes in mature asparagus cultivars are herein illustrated and described. Asparagus root length density and biomass were estimated from soil cores using a systematic field sampling approach each spring. Soil cores (0.9 m deep) were divided into 0.15 m lengths and fleshy roots collected from the soil. Root length density and dry weights were determined and root distribution maps generated from collected data. As asparagus plantings matured, the sampling year had a significant influence on root development. Fleshy roots grew deeper into the soil each year but the majority of roots of Atlas, Guelph Millennium, and Jersey Giant were found in the upper 60 cm of the soil profile. For the three cultivars evaluated, minor differences in root length and root weight occurred. By Year 6, Atlas showed a decrease in root length and weight when compared to Guelph Millennium and Jersey Giant. While spear yield differences between the varieties were not significant, Atlas tended to produce more very large and large spears compared to Guelph Millennium and Jersey Giant. These results increase our understanding of asparagus root development.

Assessing Variability and Trends of Rainfall and Temperature for the District of Musanze in Rwanda

Variability in rainfall and temperature results in different impacts on agricultural practices. Assessesment of variability and trend of rainfall and temperature for the district of Musanze in Rwanda was conducted using six meteorological stations for a period of 37 years, ranging from 1981 to 2018, and data were obtained from Rwanda Meteorology Agency. Musanze district is located in highland areas of Rwanda, understanding the variability and trend in rainfall and temperature is paramount to increase the uptake of climate information and support strategic orientation. The Mann–Kendall nonparametric test and modified Mann–Kendall were used to assess the trend in rainfall and temperature, whereas Sen’s slope estimator was used to assess the magnitude of change. The results from both methods showed much similarity and consistency. The assessment of variability and trend in rainfall and temperature in Musanza district indicated that increasing temperature and decreasing rainfall trends gave an indication of changes in variability and trend in rainfall and temperature. The annual pattern revealed a substantial downward tendency of −25.7% for Nyange, the only station with constant decreasing trend over all seasons, DJF, −61.4%, SON, −12.2%, JJA, −40.3%, and MAM, −4.35. Temperature analysis for both maximum and minimum indicated increasing trend which was signal for constant warming up in the area. The results from coefficient of variation indicated a high disparity in rainfall variation from June to August which ranged between 51 and 74%, and other seasons changes were moderate.

Using survey results to direct future extension efforts in annual bluegrass management

AbstractControlling unwanted annual bluegrass (Poa annua L.) in desirable turfgrass species often relies heavily on herbicide use. As a result, increasing populations of herbicide‐resistant annual bluegrass have become a concern. In 2018, a university research and extension initiative began addressing the increasing herbicide‐resistant annual bluegrass epidemic. Preliminary findings produced by this research initiative were presented to golf course employees at the 2022 Golf Course Superintendents Association of American Educational Conference in San Diego, California. Findings were presented by a panel of scientists working on various annual bluegrass research sub‐objectives. A survey was designed to match the sub‐objectives within this panel presentation and determine what recommendations the attendees were most likely to use. The survey also identified environmental zones where participants originated and what turfgrass species they are managing in various areas of the golf course. The goal of sharing these survey findings is to assist turfgrass extension specialists and managers interested in designing annual bluegrass management programs that match stakeholder needs. Survey results determined that extension material pertaining to controlling annual bluegrass with cultural practices would interest the largest stakeholder cross section regardless of environmental turfgrass zone. Another major topic was annual bluegrass emergence patterns for herbicide timing, which was the most important or interesting topic for golf course employees in the warm‐season turfgrass environmental zone.

Annual patterns in the outcomes and post-arrest care for pediatric out-of-hospital cardiac arrest: A nationwide multicenter prospective registry in Japan

AimOut-of-hospital cardiac arrest (OHCA) has a poor prognosis in children; however, the annual patterns of prognosis and treatment have not been fully investigated. MethodsFrom the Japanese Association for Acute Medicine OHCA registry, a multicenter prospective observational registry in Japan, we identified pediatric patients (zero to 17 years old) between June 2014 and December 2019. The primary outcome was one-month survival. We investigated the annual patterns in patient characteristics, treatment, and one-month prognosis. ResultsDuring the study period, 1188 patients were eligible for analysis. For all years, the zero-year-old group accounted for a large percentage of the total population (between 30% and 40%). There were significant increases in the rates of bystander-initiated cardiopulmonary resuscitation (CPR; from 50.6% to 62.3%, p = 0.003), dispatcher instructions (from 44.7% to 65.7%, p = 0.001), and adrenaline administration (from 2.4% to 6.9%, p = 0.014) over time, whereas the rate of advanced airway management decreased significantly (from 17.7% to 8.8%, p = 0.003). The odds ratios for one-month survival adjusted for potential resuscitation factors also did not change significantly (from 7.1% to 10.3%, adjusted odds ratio for one-year increment = 0.98, confidence interval: 0.86–1.11). ConclusionDespite an increase in the rate of bystander-initiated CPR and pre-hospital adrenaline administration, there was no significant change in one-month survival.

A Statistical Approach to Macrofungal Diversity in a Mediterranean Ecosystem of the Iberian Peninsula Dominated by the Holm Oak (Quercus ilex L. subsp. ballota (Desf.) Samp.)

The fungal biodiversity associated with a stable plant community appears to vary from year to year. To analyse the annual behaviour in the formation of fruiting bodies, a statistical study of the data obtained for 4 years (2009–2012) in an apparently undisturbed Mediterranean ecosystem dominated by the holm oak (Quercus ilex L. subsp. ballota (Desf.) Samp.), located in the Midwest of the Iberian Peninsula, was carried out. These data were related to the main meteorological variables. The 150 species collected showed a significant annual, monthly, and weekly difference in their fruiting during the collection period. All this implies a variation in the annual fungal fruiting which can modify the moment of when maximum peaks of fruiting appear, their duration, and the number of species that compose them. In addition, the results make it possible to establish an annual behaviour pattern, with sporocarp formation throughout the year and four fruiting groups (two of them in the dry season). They also allow for inferring a possible response to climate change, with a delay in the fruiting of the autumn-winter group and earlier fruit bearing in the winter-spring group.

Analysis of the effects of COVID-19 restriction policies on drinking water consumption by smart water network data filtering

Abstract People's habits changed during the COVID-19 pandemic and the consequent containment policies, with numerous implications in all fields. In particular, restrictions had important consequences for drinking water consumption. The present work analyses this influence in the Soccavo district of Naples (Campania), in Italy, during the two periods of strongest restrictions in 2020: the national Lockdown (March 11–May 3) and the autumn Red Zone (November 16–December 6). A large amount of data, referred to single-household flowmeters connected to a Smart Water Grid acquisition system, was collected for the years 2019 (considered the average reference year) and 2020. The first step was the preliminary filtering of the data, by identification and elimination of anomalies and outliers, as well as anomalous annual patterns, through clustering and classification. The second step consisted of the comparison of the same meters in two consecutive years considering the daily and weekly average hourly patterns, the average daily patterns of midweek days, Saturdays, and Sundays, respectively, and the total daily volumes. The results are consistent with those in the literature. Some general trends in literature data were sought and pointed out in the present paper.

Unusual Enhancement of the Optical Depth on the Continental Shelf Depth Latitudinal Variation in the Stratospheric Polar Vortex

The Antarctic ozone hole has attracted attention concerning global climate change. Breakthroughs regarding ozone observation methods and the formation principles of ozone holes have occurred. This study compared the slant column ozone obtained from SCanning Imaging Absorption SpectroMeter for Atmospheric CHartographY (SCIAMACHY) Level 1 optical spectroscopy data processed by QDOAS software with that reconstructed from SCIAMACHY Level 2 ozone data using geographic information to obtain the optical depth coefficients. The global distribution of optical depth coefficients reveals latitudinal homogeneity, whereas the distribution of coefficients in the polar regions reveals heterogeneity. This heterogeneity has an annual variation pattern, alternating between strong and weak distributions in the Arctic and Antarctic regions. It is most evident in the Palmer Peninsula of Antarctica, where the optical depth coefficients were significantly higher than those of the surrounding regions at the same latitude. This analysis excluded the atmospheric pressure influence and suggested the influence of the continental shelf depth. The protrusion of the continental shelf depth changes the optical depth coefficients owing to the geographical proximity of the Antarctic Palmer Peninsula to South America, which separates the Atlantic and Pacific Oceans in an east–west direction.

Large‐scale human celebrations increase global light pollution

Abstract Culturally dependent human social behaviours involving artificial light usage can potentially affect light pollution patterns and thereby impact the night‐time ecology in populated areas, although to date this has not been examined globally. By analysing continuous (monthly), highly resolved, spatially explicit data on global night lights (Visible and Infrared Imaging Radiometer Suite–Day/Night Band‐VIIRS‐DNB; 2014–2019) with circular statistical techniques, we evaluated whether macro‐cultural activities involving social aggregations and the use of artificial lights shape annual lighting patterns globally. Scheduled routines associated with cultural‐specific festivities appear to be important drivers of observed seasonal patterns in urban night‐time lights. For instance, the display of Christmas lights between Christmas and Epiphany Day celebrations (December–January) coincides with the annual peak in urban night‐time light intensity in Christian countries. Analogously, night celebrations during the Holy Month of Ramadam (from May to July) or the month‐long period of Karthika Masam (from October to November) fits with annual night light peaks in Muslim and Hindu countries. Annual peaks of urban light intensity in China and Vietnam also match with Chinese and Vietnamese (Tê't) New Year celebrations (January–February). In contrast, predominantly Buddhist countries, which do not have such prominent and prolonged celebrations involving artificial lights, show a relatively uniform distribution of night light peaks throughout the annual cycle. Social behaviour and sociocultural contexts help explain how people modify the global nightscape and contribute to light pollution globally. Understanding the cultural contexts responsible for peaks in artificial light usage is an important first step if humans are to mitigate any deleterious effects associated with global increases in night‐time light pollution. Read the free Plain Language Summary for this article on the Journal blog.

Climate vulnerability for a desert fish: integrating hydrologic exposures, adaptive capacity, and growth potential

Climate vulnerability can be evaluated by multiple organismal responses. We developed a climate vulnerability framework focused on growth potential of redband trout ( Oncorhynchus mykiss newberri). We employed a bioenergetics model to evaluate spatial variability in growth potential in relation to constraints on body size imposed by stream flow, physiological responses linked to variable thermal regimes, and variation in physiological adaptive capacity inferred from field respirometry. Results indicate that maximum size (g) of redband trout increases with stream discharge. Growth potential is strongly linked to body size, with smaller individuals performing better relative to larger fish in cooler thermal regimes. Annual patterns of growth varied among sites and were related to body size and physiological adaptive capacity. Putatively cold-adapted fish were more likely to exhibit bimodal growth with peaks in spring and autumn, whereas warm-adapted fish exhibit a summer peak in growth potential. These findings offer insights into how climate vulnerability of stream-living fish can be conditioned on both stream flow and thermal regimes, and the potential for physiological adaptive capacity to influence vulnerability.

Comparison and evaluation of evapotranspiration estimations by different approaches in the Yellow River Basin

Abstract Accurately quantifying large-scale evapotranspiration (ET) is of significant scientific importance. In this study, the Shuttleworth–Wallace (SW) model incorporates gross primary productivity (GPP) values from the near-infrared reflectance of vegetation (NIRv) GPP product (NIRvGPP). Monthly ET estimations for the Yellow River Basin (YRB) were obtained using the SW models with GPP derived from the GLASS GPP product (GLASSGPP) and NIRvGPP, as well as GLASS ET and CR ET products (SW_GLASSGPP ET, SW_NIRvGPP ET, GLASS ET, and CR ET). The study analyzes the annual spatio-temporal patterns of these products, evaluates their accuracy and uncertainty, and examines the applicability of a fused ET estimation. The results revealed: (1) differences exist in ET estimations among GLASS ET, CR ET, SW_GLASSGPP ET, and SW_NIRvGPP ET; (2) monthly GLASS ET, CR ET, SW_GLASSGPP ET, and SW_NIRvGPP ET align well with the monthly ETWB, with SW_GLASSGPP ET and SW_NIRvGPP ET outperforming GLASS ET and CR ET; (3) average uncertainties of GLASS ET, CR ET, SW_GLASSGPP ET, and SW_NIRvGPP ET display different spatial variation patterns; and (4) compared to GLASS ET, CR ET, SW_GLASSGPP ET, and SW_NIRvGPP ET, the fused ET estimation achieves the best performance within the YRB.