Seasonal Growth Rates Research Articles

Beyond annual metrics: Linking seasonal population dynamics to vertical oyster reef growth.

Oysters are ecosystem engineering species building reef-like biogenic structures in temperate shallow water environments, serving as biodiversity hotspots. Recently, also their ecosystem services such as fish nursery, pollutants sink and self-sustaining coastal protection mechanisms came into a research focus. In light of accelerated sea level rise and increasing environmental dynamics, a determination of vertical growth rates of these biosedimentary structures is paramount in assessing their resilience. This study embarked on a comprehensive survey of seasonal vertical reef growth rates using terrestrial laser scanning and related population dynamics of two intertidal reefs built by the non-native oyster Magallana gigas in the Wadden Sea. We quantified median reef growth at 19.8 mm yr-1 for the Kaiserbalje reef and 17.5 mm yr-1 for the Nordland reef. Additionally, we tested the hypothesis that the seasonal variations in reef growth rates correspond to the local population dynamics, mainly the parameters of shell length and abundance which mirror delayed effects from previous spawning events. Shell growth rates were 0.03-0.06 mm d-1 in winter and 0.10-0.16 mm d-1 in summer, mean oyster abundance from autumn 2019 to spring 2022 was 627 ± 43 ind. m-2 and 338 ± 87 ind. m-2 at the Kaiserbalje and Nordland reefs respectively. Minor reef growth in the topmost reef area reflects an emerging equilibrium of the vertical reef position to actual sea level. Our findings are in accordance with growth of natural Crassostrea virginica reefs on the US East Coast, indicating potential resilience to actual and predicted sea level rise scenarios. Moreover, understanding local hydro-morphodynamic feedback linked to sea level rise will be vital in predicting the three-dimensional stability of these biosedimentary structures and habitats.

Decadal warming has intensified Microcystis‐dominated cyanobacterial blooms in Lake Erie

AbstractCyanobacterial harmful algal blooms (CHABs) are increasingly common in freshwater ecosystems and are often associated with climate change. Here, we used two independent high‐resolution surface temperature records (1995–2022) and temperature‐dependent growth rates of Microcystis to evaluate changes in these CHABs in Lake Erie. The potential mean seasonal growth rate of Microcystis and the duration of the Microcystis bloom season have both significantly increased within the western basin of Lake Erie since 1995. Trends were strongest in the far western region of Lake Erie including Maumee Bay which receives the largest point source of nutrients in the Lake and where the Microcystis bloom season has expanded by up to 1 month. In contrast, warming trends in bloom‐free portions of central and eastern Lake Erie have been more muted. We conclude that increasing water temperature is an important factor facilitating the intensification of these, and likely other, CHABs, and is thus promoting an expanding public health threat.

Effects of growing season and individual growth rates on the occurrence of larval overwintering in Otton frog tadpoles

AbstractThe timing and size of metamorphosis are crucial for the future fitness of organisms with complex life cycles, such as amphibians. In some amphibian species, a portion of tadpoles will metamorphose in their natal year whereas others from the same cohort overwinter as tadpoles. Low temperature and food availability were previously assumed to be the underlying reasons; however, the factors influencing the decision to overwinter as tadpoles or metamorphose in the natal year have not been extensively studied. This study investigated these factors by conducting laboratory‐rearing experiments on Babina subaspera tadpoles. The tadpoles were individually reared under controlled temperature and light conditions that simulated five different growing seasons (i.e., the start month) observed in the field. Four different food quantity levels were set to induce different growth rates, which were measured individually. The results revealed that 33 tadpoles metamorphosed within their natal year, whereas 52 tadpoles were overwintered as tadpoles and metamorphosed the following spring. The size at metamorphosis was larger in tadpoles that metamorphosed after winter than in those that metamorphosed before winter. Whether tadpoles metamorphosed before or after winter was influenced by the individual growth rate and growing season. Tadpoles with slower growth rates were more likely to metamorphose after winter, possibly because slower growth prevented them from reaching the critical size threshold required for metamorphosis before winter. The threshold for the occurrence of larval overwintering varied with the growing season; tadpoles that spawned later in the year were more likely to overwinter, even with a high growth rate. The results suggested that slow‐growing B. subaspera tadpoles with insufficient time until the onset of winter would gain a higher fitness by metamorphosing after winter. This would be advantageous due to the tadpoles' potentially high survival rate during dormancy as well as their larger size at metamorphosis in the following year.

Seasonal dynamics of the standard test species Lemna sp. in outdoor microcosms.

Lemna L. sp. is a free-floating aquatic macrophyte that plays a key role as a standard test species in aquatic risk assessment for herbicides and other contaminants. Population modeling can be used to extrapolate from laboratory to field conditions. However, there are insufficient data on longer-term seasonal dynamics of this species to evaluate such models. Therefore, several long-term growth experiments were conducted in outdoor microcosms (surface area 0.174 m2). Monitoring parameters included biomass, frond numbers, water parameters, and weather data. Three different datasets were generated: frond numbers and biomass from weekly to monthly destructively sampled microcosms; a year-round dataset of frond numbers from five continuously monitored microcosms; and seasonal growth rates without the effect of density dependence over 1-2 weeks in freshly inoculated microcosms. Lemna sp. reached a maximum of approximately 500 000 fronds m-2 and 190 g dry weight m-2. During the first winter, the microcosms were covered by ice for approximately four weeks, and Lemna sp. populations collapsed. The second winter was warmer, without any ice cover, and Lemna sp. populations maintained high abundance throughout the winter. Dry weight per frond was not constant throughout the year but was highest in autumn and winter. Growth rates without density dependence under outdoor environmental conditions reached 0.29 day-1 for frond number, 0.43 day-1 for fresh weight, and 0.39 day-1 for dry weight. In linear regressions, these growth rates were best explained by water temperature. For the populations continuously monitored throughout a year, the nitrogen-to-phosphorus ratio best explained the growth rate of frond numbers. This study yielded a relevant dataset for testing and refining Lemna population models used in chemical risk assessment as well as for managing ecosystems and combating the effects of eutrophication. Integr Environ Assess Manag 2024;20:1625-1638. © 2024 The Authors. Integrated Environmental Assessment and Management published by Wiley Periodicals LLC on behalf of Society of Environmental Toxicology & Chemistry (SETAC).

Generational breeding gains in a new species for aquaculture, the Australasian snapper (Chrysophrys auratus)

Selective breeding for improved trait performance is a promising approach for developing new species for food production. Globally, a shortage of livestock species presents a significant bottleneck, and this is particularly pronounced for the aquaculture sector. In New Zealand, the Australasian snapper (Chrysophrys auratus) is a potential candidate for aquaculture, and a breeding programme was started in 2004. Here we assess the performance of the most recent F4 cohort in terms of growth and survival against 1) previous generations and 2) unselected offspring from wild broodstock over the first 6 months. First, we detected generational gains over the entirety of the breeding programme in growth, averaging 11.4% for length and 81.1% for weight over 3 years, and detected a strong seasonal Specific Growth Rate (SGR) increase during summer and a general decrease of growth with age. Second, when growing the F4 and F1 cohort side by side, we found a consistent pattern of superior performance, less growth heterogeneity, and a higher condition factor within the F4 population. Notably, these data revealed breeding gains of 4.9% in survival, 10.5% in length and 41.4% in weight for F4 snapper over the first 6 months from hatching. Together these results indicate that domestication gains and genetic improvement can strengthen the potential of snapper as a candidate to diversify and grow aquaculture in New Zealand.

The key role of ecological resilience in radial growth processes of conifers under drought stress in the subalpine zone of marginal deserts

Global climate change is exacerbating drought pressure on forests. However, the response patterns and physiological mechanisms of conifer species to drought, specifically in terms of radial growth, ecological resilience and soil water utilization, are not clearly understood. This study aims to quantify the effects of resilience on radial growth and identify the role of soil moisture utilization strategies in the resilience of species under drought intensities. We focus on two conifer species, Picea crassifolia (spruce) and Pinus tabuliformis (pine), located on the southern edge of the Tengger Desert in northwestern China. The dynamics of radial growth and ecological resilience were identified, and the seasonal growth rates of species based on soil water were simulated using the VS-oscilloscope model under varying drought stress. The results showed that spruce growth and recovery contributed by soil water were suppressed with frequent severe droughts, leading to a decline in growth (−0.5 cm2 year−1/10a, p < 0.05), despite its greater resistance to mild and moderate drought (−4.63 %). However, pine exhibited a stronger recovery (+40.25 %, p < 0.05) and higher variation in growth (−0.3 cm2 year−1/10a, p < 0.05) under soil moisture stress, despite its weaker resistance to drought (−23.53 %, p < 0.05). These findings provide insights into the growth, resilience, and water adaptation mechanisms of species under drought events, and theoretical support for the conservation and management of conifer diversity and forest ecosystem stability in climate-sensitive regions.

Seasonal growth and allometric indices of the mussel Mytilus galloprovincialis Lamarck, 1819, from the coastal zone of the Black Sea in relation to environment quality, mollusc sex and shell coloration

For the first time, experimental data on the seasonal shell growth rate and its allometric indices H/L (ratio of height to length), D/L (ratio of width to length) of M. galloprovincialis are presented in relation to environment quality, mussel sex, size and shell coloration. In this field experiment mussels of two size groups with the shell lengths of 35 and 60 mm were selected. Mussels of both sizes were placed in cages and deployed in a conditionally clean water area of mussel-and-oyster farm and in a harbour under anthropogenic impact. The length (L), height (H) and width (D), of the mussel shells were measured every season. In the 35-mm group, it was noted that in the post-spawning winter period males grew faster than females and the growth rate of mussels with the black shell coloration was higher than that of mussels with brown shells. For mussels of both sexes with the shell length of 35 mm from the conditionally clean water area, the growth rate was three times as high as for males and females from the polluted area; in the 60-mm group, it was twice as high. Mussels with the shell length of 35 mm were more sensitive to unfavorable conditions, which fact renders them more efficient in environmental monitoring. The most indicative was the H/L index, which can be adopted as a water area pollution index. Environment quality (including pollution, food availability and hydrodynamic conditions) of the compared water areas had a significant impact on the shell length growth and allometric indices of mussels.

Body size of fossil Pediastrum in lake sediments as an indicator of temperature variation

Reliable paleotemperature proxies can potentially help resolve the Holocene temperature conundrum. We investigated the Pediastrum body size of a set of lakes in northern China and found that the body size generally increased with annual and summer temperature, rather than with pH, water depth or salinity. The body size variations of fossil Pediastrum in the sediments of Bosten Lake, in Xinjiang, China, were comparable with several independent paleotemperature records for the past 2000 years, with larger body sizes occurring during warm periods, and vice versa. Therefore, we propose that the body size of fossil Pediastrum in the sediments of mid-latitude freshwater lakes is a reliable temperature proxy. The temperature sensitivity of Pediastrum body size may be related to the longer growth season and higher growth rate of green algae under climatic warming.

Interaction of age and elevation on xylogenesis in Juniperus przewalskii in a cold and arid region

Exogenous factors (such as temperature and water availability) as well as endogenous factors (such as tree age) have effects on cambial phenology and intra-annual tree growt dynamics. However, how these factors interactively influence this physiological process remains unclear. Here, we compared biweekly cambial activity, timing and duration of xylogenesis in adult (< 250 yr) and old (> 400 yr) trees of Juniperus przewalskii Kom. along an altitudinal gradient on the northeastern Tibetan Plateau. We found that the onset of cell production was 10–11 days earlier in adult than in old trees, both at high and low elevations. However, the end of cell production was mainly correlated with water availability varying with elevation, regardless of age. In addition to earlier growth onset, adult trees were characterized by a longer growing season and higher growth rates, resulting in a higher number of xylem cells. We found that at relatively wet high elevations, tree age exerts a more dominant control on cell production, whereas at relatively dry low elevations, the effect of tree age on tree growth became weak or negligible. Our study demonstrates that age interacts with environmental constraints to determine intra-annual growth dynamics in this cold and arid region.

Summer growth rates and annual yields of perennial ryegrass (Lolium perenne L.) in the Upper North Island are expected to decline as a result of climate change

Evaluating the ability of perennial ryegrass to continue underpinning New Zealand’s low-cost dairy production systems under future climate change scenarios requires a modelling approach. In this study, climate projections for different climate change scenarios were used in the BASGRA pasture model to predict changes in annual yields and seasonal pasture growth rate patterns of perennial ryegrass. These predictions, including uncertainty, were made for the years 2010-2014, 2040- 2044 and 2090-2094 in 14 dairy-dominant subregions in the Upper North Island of New Zealand. The suitability of perennial ryegrass is expected to decline in the future across all subregions, with worse outcomes expected under higher atmospheric greenhouse gas levels. Winter is expected to be the season least affected by climate change and summer the most affected. Late-winter/spring is predicted to become the main growing season, followed by late-autumn/early-winter. The ability offarmers to adapt their farming practices is essential in remaining profitable and internationally competitive.

From modeling the kinetics of cell enlargement to building tracheidograms of Larix gmelinii Rupr. (Rupr.) in the permafrost zone in Siberia

Boreal forest ecosystems are a crucial element in the global climate balance. In harsh environments functioning lateral meristems of trees are more regulated by the exogenous (included local climate) than endogenous factors. This information is encoded in the tree-ring structure which can be effectively decomposed by the process-based tree-ring growth simulations. Moreover, the process-based modeling can be used to describe non-linear processes linking climate variables with tree-ring formation. In this study, we applied the Vaganov-Shashkin model to simulate seasonal cell production and cell enlargement of Larix gmelinii Rupr. (Rupr.) growing in the permafrost zone of Central Siberia. We developed a procedure for calculating the radial cell diameter based on specific Gompertz function combined with the “instantaneous tracheidogram” approach to estimate effectively seasonal cell production and timing of cell enlargement under climate control. Simulated cell number and cell size matched well with direct xylogenesis observations. The developed procedure demonstrate strong relationships between seasonal simulated growth rate and measured tracheid radial size (the average correlation is 0.64, p < 0.01). A highly significant correlation (p < 0.01) between simulated and observed cell profiles was obtained for 71% of the growing seasons over the period 1950–2011. The strong exponential relationship (R2 = 0.67) was obtained between the day of the year (DOY) when cambial cell transfers into enlargement zone and simulated time intervals of cell enlargement. Based on the strong exponential relationship it was possible to reproduce the basic pattern of the observed tracheidograms over 1950–2011 with a systematic overestimation of final cell sizes at the beginning of the growing season, which will be possible to eliminate by using more anatomical data (trees) and longer period. The proposed approach of simulating intra-annual cell dynamics (cell production) has a great potential for studying how climate affects tree-ring formation.

Study on Rice Phenological Differences under Heavy Metal Stress by Using Multi-source Remote Sensing Time-Series Images

Heavy metal pollution is surveyed rapidly and accurately, which is of great significance for soil pollution control. heavy metal pollution on farmland results in phenological changes, and we can use remote sensing technology to observe these changes. In the paper, Normalized Difference Vegetation Index (NDVI) time-series is built based on multi-source remote sensing images. Savitzky-Golay filter (S-G filter) was applied for denoising and reconstructing the time series. NDVI time series were used to calculate phenological indicators. Five phenological indicators were selected, which include seasonal amplitude, growth rate, seasonal length, seasonal integral and base level, to study on effect of heavy metal stress on rice phenology. The results showed that differences in phenological indexes at different levels of heavy metal stress as well as the phenological indicators under the stressed condition were generally lower than those under mild and moderate stress. From the findings, it can be concluded that the superiority of remote sensing phenological information in the monitoring of heavy metal stress in rice, and a new method for distinguishing heavy metal stress in rice will be provided.

Response of Sugarcane to Varying Nitrogen Rate and Application Timings Under Semi-Arid Climate

To enhance crop yields, nitrogen is one of essential basic nutritional elements that enable any plant to withstand in stressful conditions. An experiment was carried out to investigate the impact of N rates and its application timings on growth, development and sugarcane yield at farm area of Sugarcane Research Institute, Faisalabad, Pakistan for two consecutive crop seasons (spring 2014 and 2015). Four Nitrogen (N) rates viz.170, 227, 284 and 341 kg ha-1were applied at four different application schedules i.e. T1= 45-75-90 days after planting (DAP); T2= 45-75-90-120 DAP;T3= 45-75-90-120-150 DAP and T4= 45-75-90-120-150-180 DAP, in RCBD having three replications. The results revealed that the treatments significantly affected quantitative traits like tillers plant-1, cane girth, millable count, cane and sugar yield and growth parameters like leaf area index (LAI), leaf area duration (LAD), seasonal total dry matter accumulation (TDM) and seasonal crop growth rate (CGR). Interactive effect of treatments was also significant for cane girth, number of millable canes and LAD. Treatments did not affect cane length significantly during the course of study. Growth traits viz. LAI, LAD and CGR showed improvement by higher N application and the highest values were observed when N was applied late in the season in six splits. A close positive linear relationship was noticed between cane yield and dose &amp; time of N application. It may be concluded from the present study that splitting of nitrogen till 180 days after planting at higher rates (upto 341 kg ha-1) can improve cane and sugar yield of spring planted sugarcane crop under semi-arid climatic conditions

Characterizing Seasonal Radial Growth Dynamics of Balsam Fir in a Cold Environment Using Continuous Dendrometric Data: A Case Study in a 12-Year Soil Warming Experiment

Historical temperature records reveal that the boreal forest has been subjected to a significant lengthening of the thermal growing season since the middle of the last century, and climate models predict that this lengthening will continue in the future. Nevertheless, the potential phenological response of trees to changes in growing season length remains relatively undocumented, particularly for evergreen boreal tree species growing in cold environments. Here, we used the recently defined zero growth (ZG) concept to extract and characterize the metrics of seasonal radial growth dynamics for 12 balsam fir trees subjected to a 12-year soil warming experiment using high resolution radius dendrometer measurements. The ZG concept provides an accurate determination of growth seasonality (onset, cessation, duration, growth rates, and total growth) for these slow-growing trees characterized by significant shrinkage in tree diameter due to dehydration in the winter. Our analysis revealed that, on average, growth onset starts at day 152 ± 7 (±1 SE, 31 May–1 June) and ceases at day 244 ± 27 (31 August–1 September), for a growing season duration of about 3 months (93 ± 26 days) over a 12-year period. Growing season duration is mainly determined by growth cessation, while growth onset varies little between years. A large part (80%) of the total growth occurs in the first 50 days of the growing season. Given the dynamics of growth, early growth cessation (shorter growing season) results in a higher average seasonal growth rate, meaning that longer growing seasons are not necessarily associated with greater tree growth. Soil warming induces earlier growth cessation, but increases the mean tree growth rate by 18.1% and the total annual growth by 9.1%, on average, as compared to the control trees. Our results suggest that a higher soil temperature for warmed trees contributes to providing better growth conditions and higher growth rates in the early growing season, when the soil temperature is low and the soil water content is elevated because of snowmelt. Attaining a critical soil temperature earlier, coupled with lower soil water content, may have contributed to the earlier growth cessation and shorter growing season of warmed trees.

Life and death in a dynamic environment: Invasive trout, floods, and intraspecific drivers of translocated populations.

Understanding the relative strengths of intrinsic and extrinsic factors regulating populations is a long‐standing focus of ecology and critical to advancing conservation programs for imperiled species. Conservation could benefit from an increased understanding of factors influencing vital rates (somatic growth, recruitment, survival) in small, translocated populations, which is lacking owing to difficulties in long‐term monitoring of rare species. Translocations, here defined as the transfer of wild‐captured individuals from source populations to new habitats, are widely used for species conservation, but outcomes are often minimally monitored, and translocations that are monitored often fail. To improve our understanding of how translocated populations respond to environmental variation, we developed and tested hypotheses related to intrinsic (density dependent) and extrinsic (introduced rainbow trout Oncorhynchus mykiss, stream flow and temperature regime) causes of vital rate variation in endangered humpback chub (Gila cypha) populations translocated to Colorado River tributaries in the Grand Canyon (GC), USA. Using biannual recapture data from translocated populations over 10 years, we tested hypotheses related to seasonal somatic growth, and recruitment and population growth rates with linear mixed‐effects models and temporal symmetry mark–recapture models. We combined data from recaptures and resights of dispersed fish (both physical captures and continuously recorded antenna detections) from throughout GC to test survival hypotheses, while accounting for site fidelity, using joint live‐recapture/live‐resight models. While recruitment only occurred in one site, which also drove population growth (relative to survival), evidence supported hypotheses related to density dependence in growth, survival, and recruitment, and somatic growth and recruitment were further limited by introduced trout. Mixed‐effects models explained between 67% and 86% of the variation in somatic growth, which showed increased growth rates with greater flood‐pulse frequency during monsoon season. Monthly survival was 0.56–0.99 and 0.80–0.99 in the two populations, with lower survival during periods of higher intraspecific abundance and low flood frequency. Our results suggest translocations can contribute toward the recovery of large‐river fishes, but continued suppression of invasive fishes to enhance recruitment may be required to ensure population resilience. Furthermore, we demonstrate the importance of flooding to population demographics in food‐depauperate, dynamic, invaded systems.

Importance of Weighting High-Resolution Proxy Data From Bivalve Shells to Avoid Bias Caused by Sample Spot Geometry and Variability in Seasonal Growth Rate

Shells of bivalve mollusks serve as archives for past climates and ecosystems, and human-environmental interactions as well as life history traits and physiology of the animals. Amongst other proxies, data can be recorded in the shells in the form of element chemical properties. As demonstrated here with measured chemical data (10 elements) from 12 Arctica islandica specimens complemented by numerical simulations, mistakes during sclerochronological data processing can introduce significant bias, adding a further source of error to paleoenvironmental or biological reconstructions. Specifically, signal extraction from noisy LA-ICP-MS (Laser Ablation—Inductively Coupled Plasma—Mass Spectrometry) data generated in line scan mode with circular LA spots requires a weighted rather than an arithmetic moving average. Otherwise, results can be in error by more than 41%. Furthermore, if variations of seasonal shell growth rate remain unconsidered, arithmetic annual averages of intra-annual data will be biased toward the fast-growing season of the year. Actual chemical data differed by between 3.7 and 33.7% from weighted averages. Numerical simulations not only corroborated these findings, but indicated that arithmetic annual means can overestimate or underestimate the actual environmental variable by nearly 40% relative to its seasonal range. The magnitude and direction of the error depends on the timing and rate of both seasonal shell growth and environmental change. With appropriate spatial sampling resolution, weighting can reduce this bias to almost zero. On average, the error reduction attains 80% at a sample depth of 10, 92% when 20 samples were analyzed and nearly 100% when 100 samples were taken from an annual increment. Under some exceptional, though unrealistic circumstances, arithmetic means can be superior to weighted means. To identify the presence of such cases, a numerical simulation is advised based on the shape, amplitude and phase relationships of both curves, i.e., seasonal shell growth and the environmental quantity. To assess the error of the offset induced by arithmetic averaging, Monte Carlo simulations should be employed and seasonal shell growth curves randomly generated based on observed variations.

Capture-mark-recapture data on the strictly protected Speleomantes italicus.

This data set collects capture-mark-recapture data, biometric data, and stomach contents of seven populations of the Italian cave salamander (Speleomantes italicus), one of the strictly protected European plethodontid species endemic to mainland Italy. We monitored six subterranean populations inside caves, and one fully epigean population living in a forest, surveying a total area of >5200 m2 . Data collection was performed 24 times throughout a year for each of the subterranean populations, and seven times in late winter-early spring for the epigean population. Salamanders were individually identified using two different marking methods: subcutaneous injection of visual implant elastomers (VIE) and photographic recognition of the dorsal pattern. Overall, the data set contains information on 1283 captured salamanders, corresponding to 783 different individuals and 500 recapture events. This type of data can be used to assess the species detection probability and to estimate the size of the populations, which are fundamental parameters for the assessment of its conservation status. Captured salamanders were weighed using a digital scale and photographed next to a reference ruler to perform post hoc measurements. This allows to assess the potential variation of the body condition of individuals through the time, and the potential divergences between conspecific populations. Furthermore, repeated measurements of recaptured individuals can allow to evaluate the seasonal growth rates of Speleomantes. Before their release, the salamanders underwent stomach flushing, a non-invasive technique that allows us to investigate the food residues in the salamanders' stomach. In 951 salamanders, we were able to recognize a total of 7077 consumed prey items belonging to 37 different prey categories (i.e., order level or lower), completing the information on the consumed prey for the entire Speleomantes genus. Data on consumed prey can be used to assess potential divergences between populations or between individuals of different ages/sexes, but also to assess the potential trophic specialization of individuals. The distinctiveness of this data set is that, by combining the capture-mark-recapture data with those on the diet of individuals, it allows to perform detailed studies on the consistency of individuals' food preference over time, an analysis that has never been performed on these salamanders. We release the data set into the public domain under Creative Commons Attribution 4.0 International license (CC-BY). When you use this data in your publication, we request that you cite this data paper; if you are using the whole data set related to the entire project, please cite all the related papers. If this data set will be an important part of the data analyzed in your study, you should consider discussing a collaboration with the data set contact person. If you plan to use data from the European plethodontid salamanders trophic niche project, please contact the contact person to find out if similar analyses are already underway or if unpublished updates are available.

A trade‐off between growth and hydraulic resilience against freezing leads to divergent adaptations among temperate tree species

Abstract In humid temperate forests, the occurrence of frequent freeze–thaw cycles (FTC) is a main factor limiting tree growth, as xylem embolism induced by FTC poses a serious threat to the hydraulic integrity of trees. A high resilience to hydraulic dysfunction involves the enhancement of embolism resistance and/or extra non‐structural carbohydrate (NSC) inputs for restoration of an impaired hydraulic system. However, potentially negative implications of such NSC allocation on tree growth have not yet been explored. At a temperate forest site of northeast China, we studied xylem hydraulics and NSC contents in relation to winter embolism resilience in 15 sympatric broadleaf tree species belonging to three genera with relatively high species richness, but having distinct strategies in maintaining hydraulic integrity over the winter, that is, Acer species that generate positive stem and root pressures contributing to winter embolism refilling, Betula species that only generate root pressure and Populus species that do not generate positive pressure. Acer and Betula species had higher soluble sugar contents in the dormant season and indeed had higher hydraulic resilience to FTC‐induced embolism but slower stem growth. Populus species had higher NSC contents during the growing season and their faster stem growth was also consistent with higher hydraulic efficiency and leaf photosynthetic rate. The positive correlation between tree trunk radial growth rate and hydraulic conductivity suggests that xylem water transport efficiency can be a fundamental basis for tree productivity due to a significant hydraulic‐photosynthetic coordination. The negative correlation between soluble sugar concentration in the dormant season and stem growth rate indicates that metabolic carbon costs for enhancing hydraulic resilience may compromise tree growth during the growing season. Comparisons among Acer, Betula and Populus and the correlation analyses based on phylogenetic independent contrasts strongly support the existence of a trade‐off between hydraulic resilience against FTC‐induced embolism and growth rate among sympatric tree species under humid temperate climate conditions. This trade‐off has likely contributed to the sorting of temperate tree species and genera to different niches along environmental gradients with respect to freezing stress and interspecific competition. A free Plain Language Summary can be found within the Supporting Information of this article.

Primary and secondary growth phenology of Schizolobium parahyba (Vell.) Blake at different time scales

Schizolobium parahyba is a tropical species that has expanded its distribution. However, little is known about its ecological performance beyond the tropics. Therefore, the objective of this research was to describe for this species, south of its original distribution, intra-annual variations in primary growth phenology (leaf flushing, leaf shedding, flowering and fruiting) and secondary growth (radial increase of the trunk), as well as secondary growth on an interannual scale (radial xylem increase) and to analyze the influences of climatic conditions on the evidenced phenological patterns. For this purpose, on an intra-annual scale, ten individuals had their phenophases observed fortnightly for 23 months and were described and correlated to climatic variables of photoperiod, temperature and precipitation. Inter-annual activity samples were obtained from the growth rings of 16 individuals, which were evaluated according to dendrochronological protocols and correlated to climatic variables of temperature and precipitation. South of its original distribution, S. parahyba trees presented seasonal growth rates in all observed scales and associations with variations in phenological rhythms and climatic conditions. Differences were found in the climatic response of the species in comparison to studies already performed in the tropics. In this study, on an intra-annual scale, this association is manifested by relationships with photoperiod, being positive for leaf flushing and fruiting and negative for leaf shedding. In the secondary growth, the intra-annual scale positive relationship was found with temperature, but on an inter-annual scale a positive influence of winter rainfall was found. The consistence of those patterns in broader spatial scales deserves further investigation.

A Theory of the Spring Persistence Barrier on ENSO. Part III: The Role of Tropical Pacific Ocean Heat Content

AbstractIn this paper, we investigate the relationship between upper ocean heat content (OHC) and El Niño–Southern Oscillation (ENSO) sea surface temperature (SST) anomalies mainly using the neutral recharge oscillator (NRO) model both analytically and numerically. Previous studies showed that spring OHC, which leads SST by 6–12 months, represents a major source of predictability for ENSO. It is suggested that this seasonality is caused by the seasonally varying growth rate in SST anomalies. Moreover, a shortened ENSO period will lead to a reduced SST predictability from OHC, with the most significant decrease occurring in the latter half of the calendar year. The cross-correlation relationship between OHC and ENSO SST anomalies is further identified in the damped and self-excited version of the recharge oscillator model. Finally, we suggest that the seasonal growth rate of ENSO anomalies is the cause of the seasonality in the effectiveness of OHC as a predictor in ENSO forecasting, particularly as it relates to the boreal spring persistence barrier and associated spring predictability barrier. We also explain the shorter lead time between spring OHC and ENSO SST anomalies after the turn of the twenty-first century in terms of the apparent higher frequency of the ENSO period.