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106 results for “Habitat quality”
Hematological and biochemical profiles, infection and habitat quality in an urban rat population
<p>Dataset employed in the analysis of "Hematological and biochemical profiles, infection and habitat quality in an urban rat population". For details in sampling methodology, see article of same name.</p> <p>Composed of three dataset files, with codebooks associated:</p> <ul> <li>animal_data: morphological and parasitological data of captured individuals</li> <li>hematological_data: data on hematological parameters of captured individuals</li> <li>biochemical_data: data on biochemical markers of captured individuals</li> </ul> <p>All individuals are identified by an individual code (rat_ID), and can be cross-linked through the bases.</p> <p>Files are composed of two sheets</p> <p>-data sheet: original data, with regular labels</p> <p>-codebook: comprehensive codebook for the data sheet.</p>
Habitat quality drives the species-area relationship of plants and soil microbes in an ocean archipelago
<p>While the positive species-area relationship on islands is frequently observed, the mechanisms underlying this pattern remain poorly studied. By analyzing insular community diversity across spatial scales and the soil properties within the islands, we were able to explore potential mechanisms leading to the island species-area relationship of plants, as well as associated soil bacteria and fungi, from a tropical archipelago.<strong> </strong>We found that both plant and soil microbial communities showed similar positive species-area relationships across scales and the greater taxonomic diversity on larger islands was mainly driven by the higher richness within samples. These patterns arose primarily due to shifting habitat quality with island area, rather than spatial processes generally attributed to species-area relationships. Specifically, for plants, changes in soil total phosphorus content with island area were most explanatory, while changes in soil pH appeared to play the most important role in shaping soil bacteria and fungi patterns. By contrast, we found little evidence for the role of spatial processes (i.e., dispersal limitation or soil heterogeneity) within the island.<strong> </strong>Overall, this study highlights the importance of dissecting potential mechanisms underlying multi-trophic community dynamics to explain patterns of biodiversity and its variation on islands.</p>
The role of reed management and habitat quality on brood parasitism and chick survival of the brood parasitic Common Cuckoo
<p>Despite efforts on ecosystem restoration and management, biodiversity loss remains one of the major environmental concerns of our time. Beyond the focus on threatened species, animals that indicate regional biodiversity hotspots and population trends, such as brood parasites, should also be targeted by conservation actions. We studied how reed habitat quality and management influence brood parasitism rate and offspring survival in Common Cuckoos Cuculus canorus parasitizing nests of Great Reed Warblers Acrocephalus arundinaceus. In six reed habitats in an intensive agricultural landscape. Data collected from 45 sites over 13 years showed that the brood parasitism rate was highest on large canals and was positively influenced by the availability of potential perches (Cuckoo vantage points) and the height where host nests were built. Cuckoo chick survival decreased with water depth and was not affected by other factors. Our results suggest that the habitat-dependent detectability of host nests was central in brood parasitism rate and that water level was central in Cuckoo chick survival. Our study shows that a maintenance of intermediate water levels is the most optimal for maintaining Cuckoo populations in intensive agricultural landscapes. Because brood parasites are excellent bioindicators as their presence predicts regional hotspots of taxonomic and functional diversity as well as population trends in bird communities, knowledge on their habitat requirements is relevant in management targeting diverse bird communities.</p>
Figure 8 in A quantitative method for collecting water mites in lotic, riffle-run habitats for water quality biomonitoring
Figure 8 The final composite, sieved water mite sample ready for the picking process.
Flower strip effectiveness for pollinating insects in agricultural landscapes depends on established contrast in habitat quality: A meta-analysis
<p>Flower strips have become a prevalent measure in agricultural landscapes to counteract biodiversity loss and especially promote pollinators. Although their benefits for pollinating insects have been frequently evaluated and reported, generalized conclusions about optimal settings for effective flower strips are still difficult. From the perspective of pollinators, flower strips vary distinctly in habitat quality, and the same applies for the control sites selected for scientific studies.</p> <p>In this study, we used a meta-analytic approach based on a systematic review of recent studies (2009-2020) to analyze the relationship between flower strip effectiveness for pollinators and the contrast in habitat quality between flower strips and control sites. We extracted 350 data entries from 29 out of 172 studies based on available data for richness or abundance of the pollinator taxa groups Apiformes, Lepidoptera and Syrphidae as response variables, for both flower strips and control treatments. All flower strips and control treatments were assigned a habitat quality score including information on spatial dimension, floral resources and management. Moreover, we included information on landscape complexity as measured by percent cover of semi-natural habitats in the studied landscape.</p> <p>In general, our results of meta-analytical models showed an increasing effect size of flower strips on pollinators for higher contrasts in habitat quality between flower strips and control treatments. This relationship was consistent across pollinator taxa and different levels of landscape complexity. Altogether, in terms of pollinator habitat quality, high-quality flower strips were more attractive than low-quality flower strips, and the reported effectiveness of flower strips decreased from low-quality to high-quality control treatments.</p> <p>We recommend that results of future studies evaluating flower strips for pollinators are always linked with the contrast in habitat quality between selected flower strips and control treatments.</p>
Flower strip effectiveness for pollinating insects in agricultural landscapes depends on established contrast in habitat quality: A meta-analysis
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Patch quality and habitat fragmentation shape the foraging patterns of a specialist folivore
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Data from: Genomics meets applied ecology: characterizing habitat quality for sloths in a tropical agroecosystem
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Future sea level rise in northwest Mexico is projected to decrease the distribution and habitat quality of the endangered Calidris canutus roselaari (Red Knot)
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Data from: Data for habitat quality or quantity? Niche marginality across 21 plants and animals suggests differential responses between highland and lowland species to past climatic changes
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Study on the spatiotemporal changes and driving factors of habitat quality in the Yarlung Zangbo River from 2000 to 2020
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Data from: Territory size but not territorial defence varies with habitat quality and competitor density in a farming species
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Egg laying rather than host quality or host feeding experience drives habitat estimation in the parasitic wasp Nasonia vitripennis
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Empirical tests of habitat selection theory reveal that conspecific density and patch quality, but not habitat amount, drive long-distance immigration in a wild bird
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The role of reed management and habitat quality on brood parasitism and chick survival of the brood parasitic Common Cuckoo
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Habitat quality drives the species-area relationship of plants and soil microbes in an ocean archipelago
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Habitat quality and biological community responses to innovative hydropower plant installations at transverse in-stream structures
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Data from: Associations between habitat quality, body size, and reproductive fitness in the alpine endemic spider Vesubia jugorum
Aim. In theory, the highest-quality habitat across a species' range should support individuals with the highest fitness, making it possible to evaluate the outputs of species distribution models (SDM) by exploring the relation between habitat quality and functional traits related to species' fitness. However, this relation has been tested almost exclusively in plants. We investigated the degree to which morphological and reproductive traits of an alpine spider varied along a gradient of habitat quality projected via species distribution models. Location. Southwestern Alps (France and Italy) Time period. 2007–2018 Major taxa studied. Vesubia jugorum (Arachnida: Araneae: Lycosidae) Methods. We used climatic, topographical and geomorphological variables at a resolution of 250 m to model habitat quality for V. jugorum, with multiple algorithms (generalized additive models, boosted regression trees, and maximum entropy models). We collected spiders in the field and measured their body size and egg-case size (a functional trait related to reproductive success). We tested the relation between functional traits and habitat quality with linear mixed models. Results. All SDM algorithms we tested fit the data well, with similar explanatory ability. Models revealed a positive relation between the probability of presence and cumulative precipitation and percentage of rock. An additional important variable in the SDMs was duration of snow coverage, with optimal projected habitat quality between 40 and 100 days/year with snow. Modeled habitat quality was positively associated with maximum body and egg-case size. Main conclusions. Our work provides evidence of a positive association between projected habitat quality and traits of a terrestrial invertebrate. A model that fits the data well potentially can be used to predict variations in species' traits, thus offering an experimental test of SDM projections with field-collected data. We encourage SDM users to incorporate data on functional traits into their modeling fitting exercises.
Dynamic evolution and scenario simulation of habitat quality under the impact of land-use change in the Huaihe River Economic Belt, China
<p>1. Land-use data</p> <p>Meaning of the value in the layers:<br> 11: Paddy field <br> 12: Dry land<br> 21: Forestland<br> 22: Shrubland<br> 23: Sparse woodland<br> 24: Other woodland<br> 31: High coverage grassland<br> 32: Medium coverage grassland<br> 33: Low coverage grassland<br> 41: River canal<br> 42: Lake<br> 43: Reservoir and pond<br> 44: Permanent glacial snow<br> 45: Coastal mud flat <br> 46: Inland tidal flat<br> 51: Urban land<br> 52: Rural residential land<br> 53: Industrial and traffic land<br> 61: Dene<br> 62: Gobi Desert<br> 63: Saline and alkaline land<br> 64: Marshland<br> 65: Bare land<br> 66: Bare rock<br> 67: Other unused land</p> <p>2. GDP data (Meaning of the value in the layer: yuan/km<sup>2</sup>)</p> <p>3. Population density data (Meaning of the value in the layer: person/km<sup>2</sup>)</p> <p>4. Meteorological data</p> <p>temperature data (unit: ℃)</p> <p>perception data(unit:mm)</p> <p>5. Terrain data including elevation, slope and aspect</p> <p>6. Vector data including railways, highways, national roads, provincial roads and county roads</p>
Data from: Noninvasive physiological markers demonstrate link between habitat quality, adult sex ratio and poor population growth rate in a vulnerable species, the Cape mountain zebra
Effective conservation and species management requires an understanding of the causes of poor population growth. Conservation physiology uses biomarkers to identify factors that contribute to low individual fitness and population declines. Building on this, macrophysiology can use the same markers to assess how individual physiology varies with different ecological or demographic factors over large temporal and spatial scales. Here, we use a macrophysiological approach to identify the ecological and demographic correlates of poor population growth rates in the Cape mountain zebra metapopulation. We use two non-invasive biomarkers: faecal glucocorticoids as a measure of chronic stress, and faecal androgens as an indicator of male physiological status. We found that faecal glucocorticoid concentrations were highest in the spring prior to summer rainfall, and were elevated in individuals from populations associated with low quality habitat (lower grass abundance). In addition, faecal androgen concentrations were higher in populations with a high proportion of non-breeding stallions (where male:female adult sex ratios exceed 2:1) suggesting sex ratio imbalances may intensify male competition. Finally, population growth rate was negatively associated with faecal glucocorticoid concentrations and female fecundity was negatively associated with faecal androgens, indicating a relationship between hormone profiles and fitness. Together, our results provide cross population evidence for how poor population growth rates in Cape mountain zebra can be linked to individual physiological biomarkers. More broadly, we advocate physiological biomarkers as indicators of population viability, and as a way to evaluate the impact of variable ecological and demographic factors. In addition, conservation physiology can be used to assess the efficacy of management interventions for this subspecies, and this approach could inform models of species' responses to future environmental change.
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
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.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.