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181 results for “water relations”
Figs 46–49 in Genus Kermia (Mollusca: Gastropoda: Conoidea: Conidae: Raphitominae) in South African waters, with observations on the identities of related extralimital species
Figs 46–49. Some Kermia species: (46, 47) K. apicalis (Montrouzier in Souverbie, 1861), holotype of Pleurotoma apicalis, MHNB, Art I., New Caledonia, apertural and side views, length 8.9 mm (negative courtesy of D. Herbert); (48) K. tessellata (Hinds, 1843), syntype of Clavatula tessellata, BMNH 1879.2.26.82, Strait of Macassar (Makassar), 10 fath. [-18 m], apertural view, 6.9×2.3 mm; (49) K. margaritifera (Reeve, 1846), syntype of Pleurotoma margaritifera, BMNH 74.10.31.8, loc. unknown, apertural view, 6.8×2.5 mm.
Figs 39–45 in Genus Kermia (Mollusca: Gastropoda: Conoidea: Conidae: Raphitominae) in South African waters, with observations on the identities of related extralimital species
Figs 39–45. Kermia producta (Pease, 1860): (39) lectotype of Clathurella producta, BMNH 1962761, 7.2×2.6 mm; (40) holotype of Defrancia mauritiana Sowerby, 1893, BMNH 1893.8.18.10, 10.5× 3.8 mm; (41) holotype of Clathurina foraminata pyrgodea Melvill, 1917, BMNH 1925.3.12.5, 11.8×3.9 mm; (42, 43) specimen NMSA S771 from between Banga Neck and Kosi Bay, apertural and side views, 4.2×1.7 mm; (44, 45) specimen NMSA E5727 from off Boteler Point, apertural and side views, 4.2×1.4 mm.
Figs 34–38 in Genus Kermia (Mollusca: Gastropoda: Conoidea: Conidae: Raphitominae) in South African waters, with observations on the identities of related extralimital species
Figs 34–38. Kermia pumila (Mighels, 1845): (34) lectotype of Pleurotoma pumila (designated by Johnson 1949), MCZH 176993; (35) lectotype of Clathurella violacea Pease, 1868, MCZ 231971, 4.6×1.8 mm; (36, 37) specimen NMSA S2391 from between Bhanga Neck and Kosi Bay, 5.0×1.9 mm; (38) ESEM of protoconch, specimen from Réunion I.
Figs 27–33 in Genus Kermia (Mollusca: Gastropoda: Conoidea: Conidae: Raphitominae) in South African waters, with observations on the identities of related extralimital species
Figs 27–33. Kermia melanoxytum (Hervier, 1896) and Kermia edychroa (Hervier, 1897): (27–29) K. melanoxytum: (27, 28) syntype of Glyphostoma melanoxytum, MNHN, Lifou, apertural and side views, 4.6×2.0 mm; (29) specimen NMSA S775 from Kosi Bay, 4.0×1.9 mm; (30–33) K. edychroa: (30) probable syntype of Clathurella edychroa, MNHN, Lifou, apertural view, 4.1×1.3 mm; (31) syntype of Mangelia anxia Hedley, 1909, AMSA C.27446, Hope Is., Queensland, 5–10 fath. [-9– 18 m], apertural view, 3.3×1.1 mm (photo courtesy of Des Beechey); (32) specimen NMSA V2284 from Kosi Bay, apertural view, 3.2×1.3 mm; (33) ESEM of protoconch, specimen from Réunion I.
Figs 17–21 in Genus Kermia (Mollusca: Gastropoda: Conoidea: Conidae: Raphitominae) in South African waters, with observations on the identities of related extralimital species
Figs 17–21. Pseudodaphnella pullula (Hervier, 1897), P. martensi (G. & H. Nevill, 1875) and Paramontana blanfordi (G. & H. Nevill, 1875): (17, 18) P. pullula, apertural views: (17) probable syntype of Clathurella blanfordi var. pullula, MNHN, Lifou; (18) holotype of Pseudodaphnella punicea Hedley, 1922, AMSA C.9520, Palm Is, Queensland, 5.5×2.5 mm, photo courtesy of Des Beechey; (19) P. martensi, syntype of Clathurella martensi, BMNH 1904.9.26.10–11, Balapiti, Sri Lanka, apertural view, 4.8×2.1 mm; (20, 21) P. blanfordi, probable holotype of Clathurella blanfordi, ZSIC, Annesley Bay [Zula Bahir Selate], Eritrea, apertural and side views, 5.5 ×2.4 mm.
Figs 22–26 in Genus Kermia (Mollusca: Gastropoda: Conoidea: Conidae: Raphitominae) in South African waters, with observations on the identities of related extralimital species
Figs 22–26. Kermia eugenei sp. n. and similar species: (22, 23) K. eugenei, holotype NMSA V23411/ T2331, apertural and side views, 3.5×1.4 mm; (24) K. aniani Kay, 1979, paratype USNM 806725, Nanakuli beach, Oahu, Hawaii, apertural view, 3.1×1.2 mm; (25, 26) K. cavernosa (Reeve, 1845), syntype of Pleurotoma cavernosa, BMNH 1963801, Philippine Is, apertural and side views, 5.9×2.5 mm.
Figs 10–16 in Genus Kermia (Mollusca: Gastropoda: Conoidea: Conidae: Raphitominae) in South African waters, with observations on the identities of related extralimital species
Figs 10–16. New and earlier described species of Kermia: (10–12) K. drupelloides sp. n., holotype NMSA W6532/T2358, 4.4×1.9 mm, apertural (10) and side (11) views, and ESEM of protoconch (12); (13, 14) K. punctifera, syntype of Clathurella punctifera, ANSP15687, Viti Is [Fiji], 4.9×2.0 mm, apertural and side views; (15, 16) K. chrysolitha [? = C. punctifera]: (15) holotype of Mangilia (Glyphostoma) chrysolitha, MMUE EE 3718, Loyalty Is, apertural view, 5.1×2.3 mm, (16) syntype of Clathurella birtsi Preston, 1908, BMNH 1912.8.7.1, "Ceylon?", apertural view, 6.3×2.3 mm.
Figs 8, 9. Clathurella exilis Pease, 1860 in Genus Kermia (Mollusca: Gastropoda: Conoidea: Conidae: Raphitominae) in South African waters, with observations on the identities of related extralimital species
Figs 8, 9. Clathurella exilis Pease, 1860, apertural and side views, lectotype BMNH 1962766, Sandwich Is., Hawaii, 5.7×2.1 mm.
Figs 1–7 in Genus Kermia (Mollusca: Gastropoda: Conoidea: Conidae: Raphitominae) in South African waters, with observations on the identities of related extralimital species
Figs 1–7. Kermia geraldsmithi sp. n., Pseudodaphnella (?) excellens (Sowerby, 1913), and Kermia clathurelloides sp. n.: (1–3) K. geraldsmithi, holotype NMSA W6533/T2354, 4.6×2.1 mm, apertural (1) and side (2) views, and ESEM of protoconch (3); (4) Pseudodaphnella (?) excellens, holotype of Clathurella excellens, BMNH 1914.1.7.267, Osumi, Japan; 9.6×4.2 mm; (5–7) K. clathurelloides, holotype NMSA W6533/T2360, 11.3×4.0 mm, apertural (5) and side (6) views, and ESEM of protoconch (7).
Data from: Species-specific variation in germination rates contributes to spatial coexistence more than adult plant water use in four closely-related annual flowering plants
1. Spatial partitioning is a classic hypothesis to explain plant species coexistence, but evidence linking local environmental variation to spatial sorting, demography, and species' traits is sparse. If co-occurring species' performance is optimized differently along environmental gradients because of trait variation, then spatial variation might facilitate coexistence. 2. We used a system of four naturally co-occurring species of Clarkia (Onagraceae) to ask if distribution patchiness corresponds to variation in two environmental variables that contribute to hydrological variation. We then reciprocally sowed Clarkia into each patch type and measured demographic rates in the absence of congeneric competition. Species sorted in patches along one or both gradients, and in three of the four species, germination rate in the "home" patch was higher than all other patches. 3. Spatially variable germination resulted in the same three species exhibiting the highest population growth rates in their home patches. 4. Species' trait values related to plant water use, as well as indicators of water stress in home patches, differed among species and corresponded to home patch attributes. However, post-germination survival did not vary among species or between patch types, and fecundity did not vary spatially. 5. Synthesis Our research demonstrates the likelihood that within-community spatial heterogeneity affects plant species coexistence, and presents novel evidence that differential performance in space is explained by what happens in the germination stage. Despite the seemingly obvious link between adult plant water-use and variation in the environment, our results distinguish the germination stage as important for spatially variable population performance.
Data from: Water the odds? Spring rainfall and emergence-related seed traits drive plant recruitment
<p>Recruitment of new individuals from seed is a critical component of plant community assembly and reassembly, especially in the context of ecosystem disturbance and recovery. While frameworks typically aim to predict how communities will be filtered on the basis of traits influencing established plant responses to the environment, assembly from seed is more complex: the responses of seeds (affected by dormancy and germination function) and establishing plants (affected by root and leaf function) can both influence outcomes within a single growing season. This creates a potential role for a more diverse set seed and seedling traits, and for environmental variability on shorter timescales (e.g., seasonal versus annual dynamics), than are typically considered. We followed thousands of individual seeds comprising eleven herbaceous grassland species through the first growing season, seeking to uncover critical environmental (precipitation amount and timing) and trait-based filters on seedling emergence and survival in assembling communities. We saw the biggest recruitment limitation when seeds failed to emerge, driven independently by a dry spring and interspecific variation in seed mass (positive effect) and seed dormancy (negative effect). Seedling survival rates were higher than emergence, with weaker predictive roles for traits like seedling root mass allocation (positive effect) and seed mass (positive under spring drought), and lesser impacts of summer rainfall on soil moisture and survival. Interestingly, most trait relationships were not conditional on rainfall, suggesting water-independent mechanisms of their respective advantages. Although recruitment is a complex process, our findings suggest that trait-based assembly frameworks can be a useful way to anticipate outcomes, particularly if dynamic early-stage conditions (e.g., spring rainfall) and attributes (e.g., seed dormancy) receive greater attention. Given the importance of recruitment for community turnover in the context of global change and land management efforts, this is an area ripe for continued expansion in trait-based and applied ecology.</p>
Forecasts, score summary files, target observational data and meteorological driver files to accompany the manuscript "Skill of process-based forecasts relative to multiple null models varies across time and depth for water temperature and dissolved oxygen"
<p>This data publication includes raw ensemble forecast output (forecasts.zip), as well as summary score files (scores.zip) for process-based forecasts produced with the Forecasting Lake and Reservoir Ecosystems (FLARE) framework. In addition, it includes scores for climatology (climatology_scores.csv) and random walk (RW_scores.csv) null forecasts, formatted observational data of target variables (sunp-targets-insitu.csv), and meteorological driver files required for analysis to accompany the manuscript "Skill of process-based forecasts relative to multiple null models varies across time and depth for water temperature and dissolved oxygen". Forecasts were made of water temperature and dissolved oxygen at Lake Sunapee, NH in 2021 and 2022.</p>
A Refined Supply-demand Framework to Quantify variability in Ecosystem Services Related to Surface Water in support of Sustainable Development Goals
<p>The file named 'Results' stores the data produced in this study. The file named 'Scripts' stores the python codes used in this study. The file named 'Software' stores the software installation package (Windows 64-bit system). The file named '3basin' stores the shapefile data of Level 3 basin in Xinjiang.</p>
Fifteen physiological traits related to osmoregulation and reactive oxygen species metabolism in two life form aquatic plants under a natural water salinity gradient on the Tibetan Plateau and Northwest China
<p><span>Aquatic plants, as the primary producers, determine the community structure and ecological function of freshwater ecosystems. However, salinization threatens inland freshwater wetlands and thus the survival of aquatic plants. Exploring the plant physiological responses to increasing water salinity could enhance our understandings of plant adaptive strategies under future climate change regimes in wetlands. We measured 15 physiological traits of 49 aquatic plant species along a large environmental gradient in alpine and arid regions of western China, to explore the physiological adaptions and compare the similarities and differences in adaptive strategies between the two life forms to natural water salinity. We found that both water salinity and low temperature were key factors affecting aquatic plants in alpine and arid regions. Aquatic plants adapt to saline habitats by accumulating proline and sulfur (S) concentrations, and to cold habitats by increasing ascorbate peroxidase activity. Plant trait network analysis showed that the hub trait in emergent plants was S, but in submerged plants was proline, suggesting that emergent plants balanced osmoregulation and reactive oxygen metabolism via S-containing compounds, while submerged plants prioritizing the regulation of osmotic balance via proline.</span></p>
Love thy neighbour? Tropical tree growth and its response to climate anomalies is mediated by neighbourhood hierarchy and dissimilarity in carbon and water related traits
<div> <div>Data and R code to reproduce all analyses, figures and tables for Krebber et al. 2024, Ecology Letters:<br>Love thy neighbour? Tropical tree growth and its response to climate anomalies is mediated by neighbourhood hierarchy and dissimilarity in carbon and water related traits. </div> <div> </div> <div>All analyses have been conducted and produced in the R environment (R version 4.1.2; R Core Team, 2021; RStudio Team, 2020). Bayesian hierarchical models have been run using the R package brms (Version 2.19.0; Bürkner, 2017). The data and R files containing the code to reproduce the results, figures and tables are described in the README file and code in more detailed is described in <em>RCode_xxx</em> files. Please note that the analyses are highly computational intensive and the scripts should be run on a high performance cluster (models and scripts running models and handeling model outputs presented here have been run with 16 cpus and with 50 - 100 GB of RAM). Packages needed are loaded at the beginning of each script. Please ensure that these and all their dependencies have been previously installed. The R code in the files has been carefully commented.</div> </div>
Data from: How does sustainable water consumption in the shower relate to different dimensions of perceived well-being? Empirical evidence from university students
<p>Water scarcity is already a worrying issue and it is predicted to get worse in the future. This creates an imperative to use water efficiently and sustainably. In the domestic sphere, one of the main uses of water is showering, not only for hygiene reasons but also as a wellness activity. In order to gain insight into the implications of sustainable shower use, in this paper we analyse the relationship between subjective well-being and water consumption in the shower. We aim to answer the following questions: 1) How does shower water consumption relate to subjective well-being, 2) Does this relationship differ depending on showering habits (time spent in the shower, and number of showers per week), and 3) Does this relationship differ depending on the season (winter and summer). The dataset contains information on 937 students from different disciplines at the University of Granada, Spain. The different interpretations of subjective well-being considered are life satisfaction, affect, and vitality. Results suggest that there is a negative relationship between water consumption and subjective well-being, in line with the literature that identifies a well-being dividend from green behaviour (being pro-environmental helps the environment and increases happiness). All subjective well-being dimensions are negatively related to time spent in the shower, regardless of the season. In contrast, the frequency of showering is not significantly related to well-being. Therefore, it appears that higher water consumption does not translate into higher perceived well-being, indicating that there is no conflict between efficient shower water use and individual well-being.</p>
Collection of chemical occurance data from NORMAN surface water database and other related files
<p>This data set collection includes the downloaded chemical occurrence data from the NORMAN database. It is related with the surface waters. Additionally, this collection also includes the chemical data from the NORMAN database and DSSTox.<br><br>Curated version of this dataset using the newly developed CleanGeoStreamR R package can be found in:<a href="https://zenodo.org/records/13799955"><em> Curated NORMAN Data</em></a>.<br><br>More details about the applied methods and the development of <strong>CleanGeoStreamR</strong> can be found in the following scientific paper: <a href="https://doi.org/10.1016/j.ecoinf.2025.103038"><em>Automated Curation of Spatial Metadata in Environmental Monitoring Data</em></a> (DOI: 10.1016/j.ecoinf.2025.103038).<br><br><br></p>
Distribution of water- and ice-related landforms in Utopia Planitia, Mars
<p>This catalog contains a shapefile of the distribution of water- and ice-related landforms in Utopia Planitia.</p> <p>This work is a joint effort of an International Team sponsored by the International Space Science Institute (ISSI).</p>
data set related to article Magnetic resonance fingerprinting with dictionary-based fat and water separation (DBFW MRF): A multi-component approach
<p>This record contains raw data related to article Magnetic resonance fingerprinting with dictionary-based fat and water separation (DBFW MRF): A multi-component approach</p>
Fig. 2 in Distribution of Agonostomus monticola and Brycon behreae in the Río Grande de Térraba, Costa Rica and relations with water flow
Fig. 2. Month flow variation of study sites.
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
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