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36 results for “lawns”
Minneapolis-St. Paul Metro Area Residential Bee Lawn Survey, 2022
We surveyed Minneapolis-St. Paul (MSP) metropolitan region residents who have an interest in pollinators and pollinator habitat (e.g., bee lawns). Potential respondents were recruited from MSP pollinator-friendly email listservs. The survey was open from May 24, 2022 to June 30, 2022, and distributed to 494 individuals. Our final N, accounting for broken email addresses, non-responses, and less than 50% survey completion, is 256. The survey contains six categories of questions along with a set of panel data. Question categories include: home, yard, and lawn characteristics and observations; lawn care responsibilities and opinions; bee and bee lawn knowledge and opinions; formal and informal rules shaping lawn decisions; and lawn information sources, trust, authority, and advocacy. Survey respondents were primarily white, older, wealthy, and well-educated women. Our findings show that values influencing lawn management are primarily environmentally focused (e.g., pollinators, climate) rather than aesthetically focused (e.g., increases property values, fits neighborhood look). Generally, individuals reported that there are no—or they are unsure-- whether there are formal (e.g., ordinances), and informal (e.g., neighbor expectations) rules about lawn management. Respondents overwhelmingly report that University of Minnesota Extension is a highly trusted source of lawn management information. Finally, the majority of respondents promote or encourage alternative lawn management practices (e.g., bee lawns, pollinator gardens), primarily through informal activities (e.g., block parties, word of mouth).
Minneapolis-St. Paul (MSP) Metro Area bee lawn assessments and bumble bee survey, 2023
Eighty residential lawns were recruited across the seven-county Minneapolis-St. Paul Metropolitan Area to take part in a survey of bumble bee species, vegetation and soil characteristics across lawns with differing management regimes. Lawns were selected to capture a range across the urban to rural gradient (based on percent of impervious surface) and household incomes and ethnicity at the Census block group level. Approximately half the lawns were characterized as "traditional" lawns, while half were considered "bee lawns" based on initial plant and bee community data. Three non-residential sites were included in this study: Katharine Ordway Natural History Study Area, The Minnesota Bell Museum of Natural History, the University of St. Thomas Stewardship Garden. The Bombus spp. composition was surveyed NON-LETHALLY at each site twice in the summer, with six endangered rusty-patched bumble bees (Bombus affinis) observed in 2023. Each property was also surveyed for plant species composition and soil moisture. Additional soil and site characteristics will accompany this dataset at a later date. Locations of the lawns are jittered randomly to protect the privacy of participating residents in the study.
Seasonal N dynamics and fluxes of nitrogen in leachate and runoff from experimental rainfalls on fertilized and unfertilized lawns in Baltimore County, Maryland
The aim of this research was to examine the spatial and temporal variation in export control points of nitrogen on residential lawns (locations prone to mobilizing nitrogen during a rain event) and to examine if previously measured hydrobiogeochemical properties were predictive of N mobilization in lawns. This data set contains measurements of saturated infiltration rates, sorptivity, soil moisture, soil organic matter, bulk density, pH, soil nitrate, soil ammonium, N2O, N2 and CO2 fluxes from soil cores, nitrogen mineralization rates and fluxes of N in runoff and leachate from fertilized and unfertilized residential and institutional lawns. Study lawns were located at homes of people who agreed to volunteer their lawn for the study from a door knocking campaign. Four sampling houses were located in an exurban neighborhood in Baisman Run. Five sampling houses were located in a suburban neighborhood in Dead Run. Two sampling locations on institutional lawns were located at University of Maryland Baltimore County. At the exurban study houses and institutional lawns sites, we identified one hillslope to conduct sampling on. At the Dead Run houses we identified one hillslope on the front yard and one in the backyard as there were distinct locations that were not present in the exurban neighborhood. Locations within the yards for sampling were selected based on sampling conducted in October 2017. Locations were grouped into four categories based on have either high or low potential denitrification rates and high or low saturated infiltration rates (n=48). These locations were also distributed across yard types (exurban, suburban or institutional), fertilizer treatments, and hillslope location (top or bottom of hillslope). At each sampling location we ran a Cornell Sprinkle Infiltrometer to generate an experimental rainfall during which we collected runoff and leachate to quantity N flux. We also measure sorptivity and saturated infiltration rates. Volumetric water conten
Baltimore Ecosystem Study: Physical, chemical and biological properties of forest and home lawn soils
Abstract: One-meter soil cores were taken to evaluate soil texture, bulk density, carbon and nitrogen pools, microbial biomass carbon and nitrogen content, microbial respiration, potential net nitrogen mineralization, potential net nitrification and inorganic nitrogen pools in 32 residential home lawns that differed by previous land use and age, but had similar soil types. These were compared to soils from 8 forested reference sites. Purpose: Soil cores were obtained from residential and forest sites in the Baltimore, MD USA metropolitan area. The residential sites were mostly within the Gwynns Falls Watershed (-76.012008W, -77.314183E, 39.724847N, 38.708367S and approximately 17 km2) Lawns on residential sites were dominated by a variety of cool season turfgrasses. Forest soil cores were taken from permanent forest plots of the Baltimore Ecosystem Study (BES) LTER (Groffman et al. 2006). These remnant forests are over 100 years old with soils that were comparable in type and texture to those underlying the residential study sites. Soils from all sites were from the Manor series (coarse-loamy, micaceous, mesic Typic Dystrudepts), which are well-drained upland soils with loamy textures and bedrock at 5 to 10 feet below the soil surface. To aid the site selection process we used neighborhoods in the Baltimore City metropolitan area that have been mapped using HERCULES, a high resolution land cover classification system designed to assist in the study of human-ecological systems (Cadenasso et al. 2007). Using HERCULES and additional data sources, we identified residential sites that were similar except for single factors that we hypothesized to be important predictors of ecosystem dynamics. These factors included land use history (agriculture and forest, n = 10 and n = 22), housing density (low and medium/high, n = 9 and n = 23), and housing age (4 to 58 yrs old, n = 32). Housing age was acquired from the Maryland Property View database. Prior land use was determined b
Figure 3 in Dynamics of arbuscular mycorrhizal fungi in relation to root colonization, spore density, and soil properties among different spreading stages of the exotic plant threeflower beggarweed (Desmodium triflorum) in a ZoysiO tenuifoliO lawn
Figure 3. Dynamics of the soil arbuscular mycorrhizal fungal spore density within Desmodium triflorum coverage levels and seasons.
Figure 6 in Dynamics of arbuscular mycorrhizal fungi in relation to root colonization, spore density, and soil properties among different spreading stages of the exotic plant threeflower beggarweed (Desmodium triflorum) in a ZoysiO tenuifoliO lawn
Figure 6. Conceptual framework demonstrating possible mechanisms of soil arbuscular mycorrhizal fungi (AMF) during the spreading process of Desmodium triflorum in the Zoysia tenuifolia lawn. Numbers 1, 2, 3, and 4 indicate different spreading stages of the invasive plant D. triflorum. Corresponding mycorrhizal structures were shown as the four microscopic views. Light-green and medium-yellow circles indicate AM fungal spores predominantly produced by the root mycorrhizal structures of Z. tenuifolia and D. triflorum, respectively. Medium-green and dark-yellow lines indicate the life cycle of spores in Z. tenuifolia plants and in D. triflorum plants, respectively. The AM fungi might influence the spread of D. triflorum by the following steps: (1) the early stage of the lawn's development with only Z. tenuifolia growing but without D. triflorum present. This occurs at the very beginning of the lawn establishment, and the AM fungal spores that previously existed in the lawn soil first infected the fine roots of Z. tenuifolia and completed the life cycle on their own. (2) The early spreading stage of D. triflorum (level 1). The roots of the two plants come into contact with each other, inducing the external hyphae that originally grow closely on the Z. tenuifolia roots to infect the roots of D. triflorum. The difference between the mycorrhizal infections of the two host plants contributes to higher root mycorrhizal colonizations of D. triflorum compared with Z.tenuifolia. However, at this stage,D. triflorum is not as competitive as Z. tenuifolia in the lawn, although it has advantages in terms of mycorrhizal infections. Therefore, the soil AM fungal spores are still predominantly produced by the mycorrhizal structures of the AMF-infected Z. tenuifolia roots. (3) The intermediate spreading stage of D. triflorum (levels 2 and 3). Desmodium triflorum continues to spread in the lawn. The contact of the two plants becomes more frequent and further induces a much closer relationship between the AM infections of the two plants. The increased D. triflorum plants in the lawn and the advantage of D. triflorum in root mycorrhizal infections facilitate the contribution of the mycorrhizal structures of the D. triflorum roots to sporulation. Thus, in this stage, the soil AM fungal spores were produced by the mycorrhizal structures of both plants, thereby inducing insignificant correlations between the spore densities and the root colonizations of either Z. tenuifolia or D. triflorum. (4) The late spreading stage of D. triflorum (levels 4 and 5). Desmodium triflorum is dominant in the lawn.The large numbers of D. triflorum plants and the AM infection advantage of D. triflorum facilitate AMF sporulation in the soil, thereby inducing significant correlations between the spore densities and the root colonizations of D. triflorum. At the different spreading stages of D. triflorum, the soil AM fungal communities also change as a result of the changed contributions of the AMF-infected host plants to the sporulation.
Figure 5 in Dynamics of arbuscular mycorrhizal fungi in relation to root colonization, spore density, and soil properties among different spreading stages of the exotic plant threeflower beggarweed (Desmodium triflorum) in a ZoysiO tenuifoliO lawn
Figure 5. The relative abundance and community composition at the family (A) and species levels (B) of arbuscular mycorrhizal fungi (AMF) in soils of different Desmodium triflorum coverage levels.
Figure 2 in Dynamics of arbuscular mycorrhizal fungi in relation to root colonization, spore density, and soil properties among different spreading stages of the exotic plant threeflower beggarweed (Desmodium triflorum) in a ZoysiO tenuifoliO lawn
Figure 2. Dynamics of the total, hyphal, and vesicular colonizations of Zoysia tenuifolia and Desmodium triflorum among different D. triflorum coverage levels and seasons. "Season," "Coverage," and "Species" indicate ANOVA results of each indicator among seasons and D. triflorum coverage levels and between the two plants, respectively.
Figure 4 in Dynamics of arbuscular mycorrhizal fungi in relation to root colonization, spore density, and soil properties among different spreading stages of the exotic plant threeflower beggarweed (Desmodium triflorum) in a ZoysiO tenuifoliO lawn
Figure 4. Correlations among the root mycorrhizal colonizations, arbuscular mycorrhizal fungal spore densities ("AMF spore density"), and soil properties in different coverage levels of Desmodium triflorum. ZTC, ZHC, and ZVC in light-green circles indicate the total colonization (TC), hyphal colonization (HC), and vesicular colonization (VC) of Zoysia tenuifolia, respectively. DTC, DHC, and DVC in light-red circles indicate the TC, HC, and VC of D. triflorum, respectively. Green lines and green-colored numbers indicate significant correlations between the colonization indicators of Z. tenuifolia and corresponding correlation coefficients, respectively. Red lines and red-colored numbers indicate significant correlations between the colonization indicators of Z. tenuifolia and corresponding correlation coefficients, respectively. Dark-green double arrows and dark-green numbers indicate the correlations between the colonizations of Z. tenuifolia and those of D. triflorum and corresponding correlation coefficients, respectively. Light-blue double arrows and light-blue numbers indicate the correlations between the spore densities and soil properties/root colonizations and corresponding correlation coefficients,respectively. Darkyellow double arrows and dark-yellow numbers indicate the correlations between the soil properties and root colonizations and corresponding correlation coefficients, respectively. Correlation is significant at: *P <0.05; **P <0.01; ***P <0.001. The minus sign indicates a negative correlation. Insignificant correlations are not shown.
Figure 1 in Dynamics of arbuscular mycorrhizal fungi in relation to root colonization, spore density, and soil properties among different spreading stages of the exotic plant threeflower beggarweed (Desmodium triflorum) in a ZoysiO tenuifoliO lawn
Figure 1. Dynamics of the soil physiochemical properties (average ± SE, n = 5) within different Desmodium triflorum coverage levels and seasons. "Season" and "Coverage" indicate ANOVA results of each indicator among seasons and D. triflorum coverage levels, respectively. Level 1, level 2, level 3, level 4, and level 5 indicate the coverage levels of D. triflorum in the Zoysia tenuifolia lawn, respectively, in this and all following figures.
Fig. 6. Meseres corlissi after protargol impregnation. A, B in New record of five ciliate species from temporary ponds on a grass lawn
Fig. 6. Meseres corlissi after protargol impregnation. A, B. Ventral (A) and dorsal (B) view showing ciliary pattern, oral apparatus, and nuclear apparatus. C. Dorsal view showing elongated somatic cilia. D. Nuclear apparatus. AM, adoral membranelles; K1, somatic kinety 1; Ma, macronucleus; Mi, micronucleus; PM, paroral membrane; VM, ventral membranelles. Scale bars: 30 μm.
Fig. 2 in New record of five ciliate species from temporary ponds on a grass lawn
Fig. 2. Pseudomicrothorax agilis in life (A-D) and after protargol impregnation (E-I). A, B. Right side view of the same specimen showing conspicuous cortical ridges, contractile vacuole, macronucleus, and adoral membranelle 3. C. Ladder/web structure on furrow. D, I. Extrusomes, insert in D shows extruded form; non-extruded ones in D and I. E, F. Right and left side view of a representative specimen. G. Nasse kinetosomes and somatic kinety 1. H. Adoral membranelles 1-3 and oral primordium. CV, contractile vacuole; E, extrusomes; K1, K12, somatic kinety 1, 12; Ma, macronucleus; Mi, micronucleus; M1-3, adoral membranelles 1-3; NK, nasse kinetosomes; OP, oral primordium. Scale bars: 30 μm.
Fig. 4 in New record of five ciliate species from temporary ponds on a grass lawn
Fig. 4. Cyrtolophosis mucicola in life (A-C), after silver carbonate (D), and protargol impregnation (E-J). A. Cells with hyaline dwelling-tubes at low magnification; arrows indicate C. mucicola. B. Right side view shows the body shape and location of a contractile vacuole. C. A very late divider. D. Ventral view showing the paroral and the oblique kinety anterior to the adoral organelles (arrow). E, F. Ventral (E) and dorsal (F) view showing the somatic ciliature and nuclear apparatus, arrow denotes the oblique kinety anterior to the adoral organelles. G. Anterior body portion showing the elongated anterior cilia (arrow). H, I. Nuclear apparatus. J. Mid-divider with newly formed paroral and adoral organelles of the opisthe. CV, contractile vacuole; Ma, macronucleus; Mi, micronucleus; Mo, Maryna ovata. Scale bars: A = 100 μm; B-E, J = 20 μm.
Fig. 3 in New record of five ciliate species from temporary ponds on a grass lawn
Fig. 3. Nassula exigua after protargol impregnation of ventral (A, C-E) and dorsal (B) views showing ciliary pattern, nassulid organelles, pharyngeal rods, and nuclear apparatus. A-D. Variable position of the nuclear apparatus. Ma, macronucleus; Mi, micronucleus; NO, nassulid organelles; PR, pharyngeal rods. Scale bars: 20 μm.
Residential lawn lysimeter nutrient leaching data
Open the record for dataset details and reuse information.
Nitrogen cycling, soil properties and infiltration rates along a topographic gradient in lawns in Baltimore County, Maryland
The aim of this research was to examine how topography and homeowner fertilizer practices affected soil and hydrologic properties of residential lawns to determine if there are locations within lawns that have the potential to act as hotspots of nitrogen transport during rain events. This data set contains measurements of saturated infiltration rates, sorptivity, soil moisture, soil organic matter, pH, soil nitrate, soil ammonium, denitrification potentials and limiting factors, and nitrogen mineralization rates from fertilized and unfertilized residential and institutional lawns. Study lawns were located at homes of people who agreed to volunteer their lawn for the study from a door knocking campaign. Four sampling houses were located in an exurban neighborhood in Baisman Run. Five sampling houses were located in a suburban neighborhood in Dead Run. Two sampling locations on institutional lawns were located at University of Maryland Baltimore County. At the exurban study houses and institutional lawns sites,we identified one hillslope to conduct sampling on. At the Dead Run houses we identified one hillslope on the front yard and one in the backyard as there were distinct locations that were not present in the exurban neighborhood. In total we sampled on 16 hillslopes. At each hillslope, we identified the top, toe and swale locations. At each hillslope location, we selected three sampling locations along a transect (maximum 10 meters in length; total of 144 sampling locations). At each sampling location we ran a Cornell Sprinkle Infiltrometer to measure sorptivity and saturated infiltration rates. Volumetric water content was measured before and after infiltrometer runs with a Field Scout TDR 300 with 7.5 cm rods. In addition, at each sampling location we took two soil cores to 10 cm depth, and combined and homogenized the two cores for that sampling location for a total of 144 soil samples. Soil cores were stored on ice in the field, and then stored at 4°C in the
Baltimore Ecosystem Study: Lawn productivity 2006-2007
Urban grasslands cover large land areas in human-dominated landscapes, but little is known about how these landscapes cycle carbon (C). In this study, we examine turfgrass biomass and productivity at thirty-three urban grassland sites within the Gwynns Fall watershed (Baltimore, MD). These sites are characteristic of residential conditions in the region and were selected to provide contrasts in urban ecosystem structure (density of coarse vegetation and built structures) as well as historical (pre-development) land use. Aboveground net primary productivity (ANPP) was measured as the sum of clipping production plus stubble, thatch, and moss production. This work provides context for understanding the impact of urban expansion on regional ecosystem C dynamics and identifies specific needs related to standardized methods for measuring turfgrass ANPP in urban grassland systems.
Chilliwack Lawn Maintenance
<p>You have a full life and sometimes the pressure of keeping a beautiful yard to be enjoyed can be a continuous source of work and stress. Let Transformations Landscaping take on this chore, so you can get back to the pleasure of enjoying your property!</p> <p>Our Classic Lawn Maintenance Service includes a Mow, Trim, and Blow. Our crew will arrive every week to give you a lawn that is well trimmed and looking fine. Give us a call so you can have the yard you always dreamed of 604.316.7792.</p> <p>Not every yard is the same so we offer a range of lawn and property care services to accommodate most property maintenance needs. From lawn mowing to spring and fall clean-ups, you work with one company and get all your lawn care needs met, professionally.</p> <p>Transformations Landscaping is a design-build firm with experience in all aspects of landscape design and construction, from conceptual design/development to project management completion. Over ten years of experience allows us to design custom landscape projects and to provide top tier maintenance services. We’ve been conducting business in the Lower Mainland and Fraser Valley since 2007, with the goal of building and maintaining extraordinary residential and commercial landscapes while providing the highest level of customer service.</p> <p>We are available throughout the beautiful Lower Mainland and Fraser Valley – <a href="http://www.transformationslandscaping.com/landscaping-services/landscape-maintenance-services/residential-maintenance/">Chilliwack Landscaping</a>, Abbotsford, Harrison Hot Springs, Agassiz, Langley, Surrey, Mission.</p>
MFS-M-00007 Air temperature measured at 2m, raised bog-lawn, ROTRONIC HygroClip S3
<p>Air temperature at 2m measured in a raised bog ecosystem (treed bog community) by ROTRONIC HygroClip S3 (temperature logger), 2010-continues, 30 min frequency, several gaps in data, N60.89164 E68.67690, as part of meteorological monitoring in Mukhrino Field Station (https://mukhrinostation.com/).</p>
Small-scale fires interact with herbivore feedbacks to create persistent grazing lawn environments
<p>Fire-herbivory feedbacks strongly influence the formation of grazing lawns in savanna ecosystems. Preliminary findings suggest that small-scale (< 25 ha) fires can engineer grazing lawns by concentrating herbivores on the post-burn green flush; however, the persistence of such grazing lawns over the longer term and without repeated fire is unknown.</p> <p>We used high-resolution Light Detection and Ranging (LiDAR) to investigate the long-term effects of fire manipulation on short grass structure (height, cover, volume, and spatial continuity) and grazing lawn establishment in Kruger National Park, South Africa. We analysed the effects of fire exclusion and experimental burns applied over a 7-year period (2013-2019) followed by a one-year cessation of burning at varying spatial scales during the early and late dry seasons.</p> <p>Fires contributed a fourfold increase in short grass cover, regardless of fire season or size. The distribution of grass height differed significantly between fire-induced grazing lawns and recently unburnt parts of the landscape where controlled fires were excluded over the experimental period. The volume (corresponding to bulk density) of short grass on the landscape responded strongly to fires, with grass volume <20 cm in height increasing with both early and late dry season fires.</p> <p>Early dry season fires caused larger and more homogeneous short grass patches. Furthermore, early dry season fires were more influential in increasing the cover of the shortest grass height class (1-5 cm).</p> <p><em>Synthesis and applications</em>. Our results demonstrate that fire-induced grazing lawns can persist over the longer-term, even when fires are no longer applied, leading to the creation of vertical and horizontal heterogeneity in the grass layer. Small-scale fires, therefore, represent a feasible management approach to expanding grazing lawn extent, potentially benefiting grazer coexistence and diversity.</p>
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Allen Brain Atlas
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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
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OpenNeuro
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