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79 results for “urban ecology”
Evaluation of stormwater urban ecological infrastructure in Phoenix, Arizona (USA): a case study of a small-scale bioretention basin system
In 2017, Arizona State University finished construction on a pedestrian mall central to its Tempe campus, which included a small-scale bioretention basin system for stormwater management. This study analyzed the flood control and water quality improvement performance of the small-scale bioretention basin system in the Phoenix Metropolitan Area, AZ USA. Flood control efficacy was quantified by calculating discharge from the basin system using water level loggers and measuring soil moisture levels using soil moisture probes. Stormwater runoff samples were collected for twenty-one storm events and analyzed for nitrogen and phosphorus constituent concentrations. Nutrient concentrations at the system inflow and outflow were used to determine percent change in concentration. Water quality improvement performance was compared to results from previous studies on bioretention basin system performance. These data were used to create relevant graphical figures. Results were obtained by performing statistical analysis calculations on the data measurements. The results indicated that the bioretention basin system performed adequately for flood control and water quality improvement, supporting the use of stormwater urban infrastructure systems in arid and semi-arid climates. Further research can reveal how these systems may perform during more severe storm events and offer improvements for future designs.
Wildlife in urban neighborhoods of the greater Phoenix, Arizona metropolitan area: patterns that span a social-ecological gradient in 2021
Wildlife communities are structured by numerous ecological filters in cities that influence their populations, and some species even manage to thrive in urban landscapes. CAP researchers were the first to observe “the luxury effect”, the hypothesis that biodiversity is positively related to income of residents. The luxury effect is still being tested worldwide twenty years later and has led to important new research on other socio-demographic factors that shape biodiversity but are vastly understudied, such as race and ethnicity, as well as the interaction of these factors with urban structural inequalities that may be hidden by income. This research aims to unpack the luxury effect by considering other landscape and socio-demographic factors that may influence wildlife communities across neighborhoods of metro Phoenix. Specifically, we are investigating if neighborhood income and ethnicity independently influence mammal occupancy in neighborhoods across the CAP ecosystem. To answer this question, we leveraged a wildlife camera array across CAP within community parks, in which cameras are placed across a gradient of average median household income and percent Latinx of residents. Incorporating socioeconomic data into urban mammal research will allow for the advancement in the understanding of socio-ecological patterns.
Urban Ecological Infrastructure (UEI) in the greater Phoenix, Arizona metropolitan area and surrounding Sonoran desert region (2010-2017)
Urban ecological infrastructure (UEI) encompasses all infrastructure in a city that supports ecological structure and function, and by extension, provides ecosystem services to urban residents and is a broad, all-encompassing concept for "nature in cities". This idea includes commonly recognized forms of infrastructure, such as parks, residential yards, community gardens, lakes and rivers, and street trees. But UEI also includes less recognized forms, such as vacant lots, agricultural fields, canals, and water retention basins. Despite being widely recognized as important to urban landscapes, the wide variety, and various forms of urban ecological infrastructure are rarely documented in a single source. To address this, we consolidated various aquatic, terrestrial, and wetland UEI throughout the Phoenix Metropolitan area so researchers can incorporate this UEI into project designs and models. Since people’s perceptions of UEI differ not only by the three broad classifications but also by the individual characteristics of UEI, each feature is classified not only as aquatic, terrestrial, or wetlands but also given on of fifteen unique classifications. Incorporation of UEI into both planning and research design can promote practices that increase both biodiversity and human well-being while also possibly limiting negative landscape perceptions.
Fig. 1 in Species Diversity And Ecology Of Amphibians And Reptiles In Urbanized Landscapes Of The City Of Minsk
Fig. 1 Location of the largest habitats and stable populations of amphibians and reptiles in the urbanized areas of the Minsk city.
Figure 10 in Ecological Features And Anthropogenic Transformation Of Wetlands As Part Of Urban Floras Of Ukraine
Figure 10. Distribution of plant communities by soil aeration and nitrogen content in soil (legend explanation is given in figure 9).
Figure 9 in Ecological Features And Anthropogenic Transformation Of Wetlands As Part Of Urban Floras Of Ukraine
Figure 9. Distribution of plant communities by variability of damping and total salt regime, where 1: Typhetum angustifoliae Pignatti 1953; 2: Typhetum latifoliae Nowiñski 1930; 3: Phragmitetum australis Savič 1926; 4: Sparganietum erecti Roll 1938; 5: CariciRumicion hydrolapathi Passarge 1964; 6: Senecionion fluviatilis Tx. ex Moor 1958; 7: ChelidonioAcerion negundi L. Ishbirdina et A. Ishbirdin 1991.
Figure 6 in Ecological Features And Anthropogenic Transformation Of Wetlands As Part Of Urban Floras Of Ukraine
Figure 6. Proportion of number of native and adventive plant species in wetland flora in studied territories.
Figure 7 in Ecological Features And Anthropogenic Transformation Of Wetlands As Part Of Urban Floras Of Ukraine
Figure 7. Proportion of number of wetlands plant species by the degree of urbanization in studied territories
Figure 2 in Ecological Features And Anthropogenic Transformation Of Wetlands As Part Of Urban Floras Of Ukraine
Figure 2. Proportion of number of plant species within families of wetland flora in studied territories.
Figure 3 in Ecological Features And Anthropogenic Transformation Of Wetlands As Part Of Urban Floras Of Ukraine
Figure 3. Proportion of number of plant species within soil water regime ecogroups in studied territories.
Figure 4 in Ecological Features And Anthropogenic Transformation Of Wetlands As Part Of Urban Floras Of Ukraine
Figure 4. Proportion of number of plant species within total salt regime ecogroups in studied territories.
Figure 1 in Ecological Features And Anthropogenic Transformation Of Wetlands As Part Of Urban Floras Of Ukraine
Figure 1. The location of the studied cities in Ukraine. (The map from Nations online: https://www. nationsonline.org/oneworld/map/ukrainepoliticalmap.htm).
Fig. 2 in Ecological And Faunistic Review Of The True Bugs Of Infraorder Cimicomorpha (Heteroptera) Of Urban Cenoses Of Kharkiv City (Ukraine)
Fig. 2. Ratio between main trophic groups of true bugs in terms of number of species and relative abundance (% out of the total number of true bugs). Names of groups in acronyms are the same as in the table 1.
Fig. 3 in Ecological And Faunistic Review Of The True Bugs Of Infraorder Cimicomorpha (Heteroptera) Of Urban Cenoses Of Kharkiv City (Ukraine)
Fig. 3. Ratio between hygropreference of main groups of true bugs in terms of number of species and relative abundance (% out of the total number of true bugs). Names of groups in acronyms are the same as in the table 1.
Fig. 1 in Ecological And Faunistic Review Of The True Bugs Of Infraorder Cimicomorpha (Heteroptera) Of Urban Cenoses Of Kharkiv City (Ukraine)
Fig. 1. Ratio between main biotopic groups of true bugs in terms of number of species and relative abundance (% out of the total number of true bugs). Names of groups in acronyms are the same as in the table 1.
Survey questionnaire data on Perceptions, interactions, and responses to urban natural environments through ecological momentary assessment
<p>Data consist of a R file format and contain the cleaned survey quistionaire data where people were asked about their perceptions, interactions, and responses to urban natural environments. For more information please read the following report Published as part of the Regreen Horizon project. </p> <p>Panduro, T.E., Zandersen, M., Guell, C., Lovell, R., Garrett, J., Taylor, T., Fullam, J., Amegbor, P. (2024) Perceptions, interactions, and responses to urban natural environments through ecological momentary assessment (EMA). Deliverable D4.6. REGREEN - Fostering nature-based solutions for smart, green and healthy urban transitions in Europe and China. Horizon2020 Grant No. 821016. https://www.doi.org/10.5281/zenodo.10594764</p>
Fig. 2a, b in Morphological, ecological and toxicological aspects of Raphidiopsis raciborskii (Cyanobacteria) in a eutrophic urban subtropical lake in southern Brazil
Fig. 2a, b. Bar graphs indicating the relative percentages of different phytoplankton groups in the lake inflow (a) and outflow (b), sampled every month from November 2009 to November 2010.
Fig. 6 in Morphological, ecological and toxicological aspects of Raphidiopsis raciborskii (Cyanobacteria) in a eutrophic urban subtropical lake in southern Brazil
Fig. 6. Principal Component Analysis (PCA) ordination of the sampling units (P1) = water inflow and (P2) = water outflow, and of the physical and chemical variables analyzed. The sampling units are listed by month abbreviated as follows: Jan = January; Feb = February; Mar = March; Apr = April; May = May; Jun = June; Jul = July; Aug = August; Sept = September; Oct = October; Nov = November; Dec = December. T = Temperature; Transp = Transparency; Cond = Conductivity; DO = Dissolved oxygen; NH4 = Ammonium; OM = Organic material.
Fig. 4a-c in Morphological, ecological and toxicological aspects of Raphidiopsis raciborskii (Cyanobacteria) in a eutrophic urban subtropical lake in southern Brazil
Fig. 4a-c. Photomicrographs of Raphidiopsis raciborskii bloom from the studied lake demonstrating: a. general aspect of the bloom; c. part of a trichome with a heterocyte and an akinete; c. part of a trichome with only an akinete. Bars =10µm.
Fig. 1 in Morphological, ecological and toxicological aspects of Raphidiopsis raciborskii (Cyanobacteria) in a eutrophic urban subtropical lake in southern Brazil
Fig. 1. Map of the studied lake, showing the two sampling sites (I = water inflow and O = water outflow).
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
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.