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54 results for “ecological context”
LAGOS-US GEO v1.0: Data module of lake geospatial ecological context at multiple spatial and temporal scales in the conterminous U.S.
The LAGOS-US GEO data package is one of the core data modules of LAGOS-US, an extensible research-ready platform designed to study the 479,950 lakes and reservoirs larger than or equal to 1 ha in the conterminous US (48 states plus the District of Columbia). The GEO module contains data on the geospatial and temporal ecological setting (e.g., land use, terrain, soils, climate, hydrology, atmospheric deposition, and human influence) quantified at multiple spatial divisions (e.g., equidistant buffers around lakes, watersheds, hydrologic basins, political boundaries, and ecoregions) relevant to the LAGOS-US lake population defined in the LAGOS-US LOCUS module. The database design that supports the LAGOS-US research platform was created based on several important design features: lakes are the fundamental unit of consideration, all lakes in the spatial extent above the minimum size must be represented, and most information is connected to individual lakes. The design is modular, interoperable (the modules can be used with each other), and extensible (future database modules can be developed and used in the LAGOS-US research platform by others). Users are encouraged to use the other two core data modules that are part of the LAGOS-US platform: LOCUS (location, identifiers, and physical characteristics of lakes and their watersheds) and LIMNO (in situ lake physical, chemical, and biological measurements through time) that are each found in their own data packages.
LAGOS-NE-LIMNO v1.087.3: A module for LAGOS-NE, a multi-scaled geospatial and temporal database of lake ecological context and water quality for thousands of U.S. Lakes: 1925-2013
This data package, LAGOS-NE-LIMNO v1.087.3, is 1 of 5 data packages associated with the LAGOS-NE database-- the LAke multi-scaled GeOSpatial and temporal database. With this release, only this data package is being updated and users are expected to use prior releases of the other types of data. Please see the attached additional documentation for a full description of the changes that have been made for this new release.The data packages that make up LAGOS-NE include the following information on lakes and reservoirs in 17 lake-rich states in the Northeastern and upper Midwestern U.S. (1) LAGOS-NE-LOCUS v1.01: lake location and physical characteristics for all lakes greater than one hectare. (2) LAGOS-NE-GEO v1.05: ecological context (i.e., the land use, geologic, climatic, and hydrologic setting of lakes) for all lakes and for all spatial resolutions, also called ‘zones’ (i.e., ecoregions, states, counties). These geospatial data were created by processing national-scale and publicly-accessible datasets to quantify numerous metrics at multiple spatial resolutions. (3) LAGOS-NE-LIMNO v1.087.3: in-situ measurements of lake water quality from the past three decades for approximately 2,600-12,000 lakes, depending on the variable. This module was created by harmonizing 87 water quality datasets from federal, state, tribal, and non-profit agencies, university researchers, and citizen scientists. This module includes variables that are most commonly measured by state agencies and researchers for studying eutrophication. For each water quality data value, we also include metadata related to the sampling program, methods, qualifiers with data flags from the original program (qual, not standardized for LAGOS-NE), censor codes from our quality control procedures (censorcode, standardized for LAGOS-NE), and the date of each sample. (4) LAGOS-NE-GIS v1.0: the GIS data layers for lakes, wetlands, and streams, as well as the spatial resolutions that were used to create the LAGOS-N
LAGOS-NE Shallow Lakes: a dataset of lake variables and multi-scaled ecological context variables used to predict and compare trophic status and TP:CHLa relationships between shallow and non-shallow lakes in the Upper Midwest and Northeastern United States.
We conducted a macroscale study of 2,210 shallow lakes (mean depth ≤ 3m or a maximum depth ≤ 5m) in the Upper Midwestern and Northeastern U.S. We asked: What are the patterns and drivers of shallow lake total phosphorus (TP), chlorophyll a (CHLa), and TP–CHLa relationships at the macroscale, how do these differ from those for 4,360 non-shallow lakes, and do results differ by hydrologic connectivity class? To answer this question, we assembled the LAGOS-NE Shallow Lakes dataset described herein, a dataset derived from existing LAGOS-NE, LAGOS-DEPTH, and LAGOS-CLIMATE datasets. Response data variables were the median of available summer (e.g., 15 June to 15 September) values of total phosphorus (TP) and chlorophyll a (CHLa). Predictor variables were assembled at two spatial scales for incorporation into hierarchical models. At the local or lake-specific scale (including the individual lake, its inter-lake watershed [iws] or corresponding HU12 watershed), variables included those representing land use/cover, hydrology, climate, morphometry, and acid deposition. At the regional scale (e.g., HU4 watershed), variables included a smaller set of predictor variables for hydrology and land use/cover. The dataset also includes the unique identifier assigned by LAGOS-NE(lagoslakeid); the latitude and longitude of the study lakes; their maximum and mean depths along with a depth classification of Shallow or non-Shallow; connectivity class (i.e., whether a lake was classified as connected (with inlets and outlets) or unconnected (lacking inlets); and the zone id for the HU4 to which each lake belongs. Along with the database, we provide the R scripts for the hierarchical models predicting TP or CHLa (TPorCHL_predictive_model.R), and the TP—CHLa relationship (TP_CHL_CSI_Model.R) for depth and connectivity subsets of the study lakes.
LAGOS-NE-LOCUS v1.01: A module for LAGOS-NE, a multi-scaled geospatial and temporal database of lake ecological context and water quality for thousands of U.S. Lakes: 1925-2013
This data package, LAGOS-NE-LOCUS v1.01, is 1 of 5 data packages associated with the LAGOS-NE database-- the LAke multi-scaled GeOSpatial and temporal database. Three of the data packages each contain different types of data for 51,101 lakes and reservoirs larger than 4 ha in 17 lake-rich U.S. states to support research on thousands of lakes. These three package are: (1) LAGOS-NE-LOCUS v1.01: lake location and physical characteristics for all lakes. (2) LAGOS-NEGEO v1.05: ecological context (i.e., the land use, geologic, climatic, and hydrologic setting of lakes) for all lakes. These geospatial data were created by processing national-scale and publicly-accessible datasets to quantify numerous metrics at multiple spatial resolutions. And, (3) LAGOS-NE-LIMNO v1.087.1: in-situ measurements of lake water quality from the past three decades for approximately 2,600-12,000 lakes, depending on the variable. This module was created by harmonizing 87 water quality datasets from federal, state, tribal, and non-profit agencies, university researchers, and citizen scientists. The other two data packages contain supporting data for the LAGOS-NE database: (4) LAGOS-NE-GIS v1.0: the GIS data layers for lakes, wetlands, and streams, as well as the spatial resolutions that were used to create the LAGOS-NE-GEO module. (5) LAGOS-NE-RAWDATA: the original 87 datasets of lake water quality prior to processing, the R code that converts the original data formats into LAGOS-NE data format, and the log file from this procedure to create LAGOS-NE. This latter data package supports the reproducibility of LAGOS-NE-LIMNO. The LAGOS-NE-LOCUS v1.01 module includes information on the physical location and features of all lakes > 4 ha. The information provided for this population of lakes includes: lake unique identifiers, lake area, perimeter, latitude and longitude, and the zone IDs that the lake is located within (e.g., state, county, the hydrologic unit at each level (4, 8, and 12). Citation for
LAGOS-NE-GEO v1.05: A module for LAGOS-NE, a multi-scaled geospatial and temporal database of lake ecological context and water quality for thousands of U.S. Lakes: 1925-2013
This data package, LAGOS-NE-GEO v1.05, is 1 of 5 data packages associated with the LAGOS-NE database-- the LAke multi-scaled GeOSpatial and temporal database. Three of the data packages each contain different types of data for 51,101 lakes and reservoirs larger than 4 ha in 17 lake-rich U.S. states to support research on thousands of lakes. These three package are: (1) LAGOS-NE-LOCUS: lake location and physical characteristics for all lakes. (2) LAGOS-NE-GEO: ecological context (i.e., the land use, geologic, climatic, and hydrologic setting of lakes) for all lakes. These geospatial data were created by processing national-scale and publicly-accessible datasets to quantify numerous metrics at multiple spatial resolutions. And, (3) LAGOS-NE-LIMNO: in-situ measurements of lake water quality from the past three decades for approximately 2,600-12,000 lakes, depending on the variable. This module was created by harmonizing 87 water quality datasets from federal, state, tribal, and non-profit agencies, university researchers, and citizen scientists. The other two data packages contain supporting data for the LAGOS-NE database: (4) LAGOS-NE-GIS v1.0: the GIS data layers for lakes, wetlands, and streams, as well as the spatial resolutions that were used to create the LAGOS-NEGEO module. (5) LAGOS-NE-RAWDATA: the original 87 datasets of lake water quality prior to processing, the R code that converts the original data formats into LAGOS-NE data format, and the log file from this procedure to create LAGOS-NE. This latter data package supports the reproducibility of LAGOS-NE-LIMNO. The LAGOS-NE-GEO v1.05 module includes information on the ecological context of the census lakes, all lakes > 4 ha in the study extent, their watersheds, and their regions. The information provided in the data tables for this module is organized into three main themes: CHAG - climate, hydrology, atmospheric deposition of nitrogen and sulfur, and surficial geology; LULC - land use/cover, impervious co
LAGOS-NE-GIS v1.0: A module for LAGOS-NE, a multi-scaled geospatial and temporal database of lake ecological context and water quality for thousands of U.S. Lakes: 2013-1925
This data package, LAGOS-NE-GIS v1.0, is 1 of 5 data packages associated with the LAGOS-NE database-- the LAke multi-scaled GeOSpatial and temporal database. Three of the data packages each contain different types of data for 51,101 lakes and reservoirs larger than 4 ha in 17 lake-rich U.S. states to support research on thousands of lakes. These three package are: (1) LAGOS-NE-LOCUS v1.01: lake location and physical characteristics for all lakes. (2) LAGOS-NE-GEO v1.05: ecological context (i.e., the land use, geologic, climatic, and hydrologic setting of lakes) for all lakes. These geospatial data were created by processing national-scale and publicly-accessible datasets to quantify numerous metrics at multiple spatial resolutions. And, (3) LAGOS-NE-LIMNO v1.087.1: in-situ measurements of lake water quality from the past three decades for approximately 2,600-12,000 lakes, depending on the variable. This module was created by harmonizing 87 water quality datasets from federal, state, tribal, and non-profit agencies, university researchers, and citizen scientists. The other two data packages contain supporting data for the LAGOS-NE database: (4) LAGOS-NE-GIS v1.0: the GIS data layers for lakes, wetlands, and streams, as well as the spatial resolutions that were used to create the LAGOS-NE-GEO module. (5) LAGOS-NE-RAWDATA: the original 87 datasets of lake water quality prior to processing, the R code that converts the original data formats into LAGOS-NE data format, and the log file from this procedure to create LAGOS-NE. This latter data package supports the reproducibility of LAGOS-NE-LIMNO. The LAGOS-NE GIS v1.0 module includes GIS datasets for: lake polygons and their hydrologic classification; wetland polygons and their classification; streams as a line coverage and their classification by stream order; the zones used for this study (state and county; hydrologic units [at the 4, 8 and 12 scales]); and, lake watersheds (IWS). We also include boundaries of U.S. stat
Dataset underpinning "Understanding health behaviours in context: A systematic review and meta-analysis of Ecological Momentary Assessment studies of five key health behaviours"
<p>This is the dataset underpinning the article "Understanding health behaviours in context: A systematic review and meta-analysis of Ecological Momentary Assessment studies of five key health behaviours": https://pubmed.ncbi.nlm.nih.gov/35975950/</p>
Data for: Assortative mating in an ecological context: Effects of mate choice errors and relative species abundance on the frequency and asymmetry of hybridization
<p><span>The frequency and asymmetry of mixed-species mating set the initial stage for the ecological and evolutionary implications of hybridization. How such patterns of mixed-species mating, in turn, are influenced by the combination of mate choice errors and relative species abundance remain largely unknown. We develop a mathematical model that generates predictions for how relative species abundances and mate choice errors affect hybridization patterns. When mate choice errors are small (<5%) the highest frequency of hybridization occurs when one of the hybridizing species is at low abundance, but when mate choice errors are high (>5%) the highest hybridization frequency occurs when species occur in equal proportions. Furthermore, females of the less abundant species are overrepresented in mixed-species matings. We compare our theoretical predictions with empirical data on naturally hybridizing Ficedula flycatchers and find that hybridization is highest when the two species occur in equal abundance, implying rather high mate choice errors. We discuss ecological and evolutionary implications of our findings and encourage future work on hybrid zone dynamics that take demographic aspects, such as relative species abundance, into account.</span></p>
Fig. 18 in Hybridization Between Parthenogenetic Lizards (Aspidoscelis neomexicana) and Gonochoristic Lizards (Aspidoscelis sexlineata viridis) in New Mexico: Ecological, Morphological, Cytological, and Molecular Context
Fig. 18. Electrophoretic phenotypes of five proteins as expressed on separate gels. PEPA, a dimeric enzyme, for three lizards. LDH1, a tetrameric enzyme, for three lizards. ESTD, a dimeric enzyme, for three lizards. sMDH, a dimeric enzyme, for four lizards. TF, a monomeric enzyme, for six lizards; white dots mark the three isozymes from the hybrid. Letters below gel identify allozymes based on alleles present (table 13). Lanes for individual lizards are labeled beside the gel (with genotype) as follows: I, A. inornata; M, A. tigris marmorata; N, A. neomexicana; NC, A. neomexicana from Conchas Lake; NF, A. neomexicana from Fort Sumner; N 3 S, the hybrid; S, A. sexlineata viridis. Anode is to the right, ^ indicates relative position of sample applications.
Fig. 17 in Hybridization Between Parthenogenetic Lizards (Aspidoscelis neomexicana) and Gonochoristic Lizards (Aspidoscelis sexlineata viridis) in New Mexico: Ecological, Morphological, Cytological, and Molecular Context
Fig. 17. Karyotype of a triploid whiptail lizard (AMNH R151739; 3n 5 69) from Conchas Lake, San Miguel County, New Mexico. This is a hybrid between A. neomexicana 3 A. sexlineata viridis. The three haploid genomes (two rows of chromosomes each) are arranged to illustrate ancestry of the hybrid, as follows: A. tigris marmorata (top) 3 A. inornata (middle), which were inherited from the diploid maternal parent of the hybrid (A. neomexicana), and A. sexlineata viridis (bottom), from the paternal parent. Bar 5 10 mm.
Fig. 16 in Hybridization Between Parthenogenetic Lizards (Aspidoscelis neomexicana) and Gonochoristic Lizards (Aspidoscelis sexlineata viridis) in New Mexico: Ecological, Morphological, Cytological, and Molecular Context
Fig. 16. Pattern of morphological distinctiveness expressed by the distribution of canonical variate scores derived from a linear canonical variate analysis of eight meristic characters in 49 A. neomexicana (Ơ), 26 A. sexlineata viridis (m 5? and M 5 /), 13 A. neomexicana 3 A. sexlineata viridis (v 5? and V 5 /), AMNH 144085 5 UADZ 3272 (3, assigned to the hybrid group as indicated by Walker et al., 1990), OMNH 35109 (1, assigned to the hybrid group as suspected by B.E. Leuck), and 26 A. tesselata C (n) from Conchas Lake, San Miguel County, New Mexico. Ellipses represent the 95% confidence limits of each group.
Fig. 10 in Hybridization Between Parthenogenetic Lizards (Aspidoscelis neomexicana) and Gonochoristic Lizards (Aspidoscelis sexlineata viridis) in New Mexico: Ecological, Morphological, Cytological, and Molecular Context
Fig. 10. Unusual dorsal pattern in OMNH 35109, a putative hybrid female, SVL 69 mm, of Aspidoscelis neomexicana 3 A. sexlineata viridis from South of Clabberhill Ranch (CL1*), Conchas Lake, San Miguel County, New Mexico.
Fig. 9 in Hybridization Between Parthenogenetic Lizards (Aspidoscelis neomexicana) and Gonochoristic Lizards (Aspidoscelis sexlineata viridis) in New Mexico: Ecological, Morphological, Cytological, and Molecular Context
Fig. 9. Life colors in three lizards used in genetic studies. A. Diploid Aspidoscelis neomexicana adult female, AMNH R151740, SVL 72 mm, Cove Campground (CL13), Conchas Lake, San Miguel County, New Mexico. B. Triploid Aspidoscelis neomexicana 3 A. sexlineata viridis hybrid male, AMNH R151739, SVL 74 mm, from South Recreation Area (CL2*), Conchas Lake, San Miguel County, New Mexico. C. Diploid A. sexlineata viridis adult male, AMNH R108142, SVL 69 mm, from Kiowa County, Colorado.
Fig. 3. A in Hybridization Between Parthenogenetic Lizards (Aspidoscelis neomexicana) and Gonochoristic Lizards (Aspidoscelis sexlineata viridis) in New Mexico: Ecological, Morphological, Cytological, and Molecular Context
Fig. 3. A relatively stable topographically and ecologically complex area located north of the Canadian River and east of Conchas Lake Dam as viewed from the south side of the river, San Miguel County, New Mexico. North of Canadian River (CL4); V near middle shows the area with openstructured mesquite, grassesweeds, and junipers along an unpaved road on the upper bench near a precipice from which individuals of Aspidoscelis neomexicana, A. tesselata C, and A. exsanguis, but not A. sexlineata viridis or A. tesselata D, have been collected; lower V shows bench near the river with dense mesquite, grasses, and weeds in which only individuals of A. neomexicana have been observed. The presence of Aspidoscelis neomexicana along the rocky precipice at CL4, from which it flees into the boulders below when threatened, makes this site the most unusual known to us for the species throughout its range.
Fig. 13. Subadult Aspidoscelis neomexicana 3 A in Hybridization Between Parthenogenetic Lizards (Aspidoscelis neomexicana) and Gonochoristic Lizards (Aspidoscelis sexlineata viridis) in New Mexico: Ecological, Morphological, Cytological, and Molecular Context
Fig. 13. Subadult Aspidoscelis neomexicana 3 A. sexlineata viridis hybrids from components of the South Recreation Area (CL2*), Conchas Lake, San Miguel County, New Mexico. A. UADZ 7561?, CL2J*, SVL 49 mm. B. UADZ 7556 /, CL2H*, SVL 49 mm. C. UADZ 7555 /, CL2H*, SVL 47 mm. D. UADZ 7452?, CL2H*, SVL 37 mm. E. UADZ 7448?, CL2H*, SVL 45 mm. F. UADZ 7455 /, CL2C*, SVL 48 mm.
Fig. 11 in Hybridization Between Parthenogenetic Lizards (Aspidoscelis neomexicana) and Gonochoristic Lizards (Aspidoscelis sexlineata viridis) in New Mexico: Ecological, Morphological, Cytological, and Molecular Context
Fig. 11. Adult specimens of Aspidoscelis neomexicana of special significance. A. AMNH R151740 /, SVL 73 mm, from Cove Campground (CL13), Conchas Lake, San Miguel County, New Mexico, used in karyotypic and electrophoretic analyses in this study. B. MSB 65617 /, SVL 79 mm, from Fort Sumner–De Baca County Landfill (FS1), Fort Sumner, De Baca County, New Mexico; first reported specimen of the species from the county (Taylor, 2002). C. AMNH R151741 /, SVL 73 mm, from Fort Sumner–Railroad Depot (FS2), Fort Sumner, De Baca County, New Mexico, used in karyotypic and electrophoretic analyses in this study.
Fig. 8 in Hybridization Between Parthenogenetic Lizards (Aspidoscelis neomexicana) and Gonochoristic Lizards (Aspidoscelis sexlineata viridis) in New Mexico: Ecological, Morphological, Cytological, and Molecular Context
Fig. 8. Four or five generations represented by specimens of Aspidoscelis neomexicana 3 A. sexlineata viridis from South Recreation Area (CL2*), Conchas Lake, San Miguel County, New Mexico, inferred from date of collection and snout–vent length (mm). Some lizards are active at the site from May to October (MJJASO) each year; horizontal line representing each lizard extends from the inferred year and month of hatching to the actual year and month of collection (. 5 younger or older age uncertain).
Fig. 15 in Hybridization Between Parthenogenetic Lizards (Aspidoscelis neomexicana) and Gonochoristic Lizards (Aspidoscelis sexlineata viridis) in New Mexico: Ecological, Morphological, Cytological, and Molecular Context
Fig. 15. Pattern of morphological variation expressed by the distribution of scores on the first two principal components extracted from a correlation matrix of eight meristic characters for 49 A. neomexicana (Ơ), 26 A. sexlineata viridis (m 5? and M 5 /), 13 A. neomexicana 3 A. sexlineata viridis (v 5? and V 5 /), AMNH 144085 5 UADZ 3272 (3, assigned to the hybrid group as indicated by Walker et al., 1990), OMNH 35109 (1, assigned to the hybrid group as suspected by B.E. Leuck), and 26 A. tesselata C (n) from Conchas Lake, San Miguel County, New Mexico. Ellipses represent the 95% confidence limits of each group.
Fig. 14 in Hybridization Between Parthenogenetic Lizards (Aspidoscelis neomexicana) and Gonochoristic Lizards (Aspidoscelis sexlineata viridis) in New Mexico: Ecological, Morphological, Cytological, and Molecular Context
Fig. 14. Comparison of mesoptychial scale size in parental forms and their hybrids. A. UADZ 7318 /, SVL 80 mm, small scales in Aspidoscelis neomexicana. B. UADZ 7464 /, SVL 68 mm, small scales in A. neomexicana. C. UADZ 7396 /, SVL 63 mm, greatly enlarged scales in A. sexlineata viridis. D. UADZ 7553?, SVL 72 mm, enlarged scales in A. neomexicana 3 A. sexlineata viridis. E. UADZ 7554 /, SVL 79 mm, enlarged scales in A. neomexicana 3 A. sexlineata viridis.
Fig. 6 in Hybridization Between Parthenogenetic Lizards (Aspidoscelis neomexicana) and Gonochoristic Lizards (Aspidoscelis sexlineata viridis) in New Mexico: Ecological, Morphological, Cytological, and Molecular Context
Fig. 6. An example of extreme habitat degradation resulting from the activities of man south of Conchas Lake in South Recreation Area (CL2*), San Miguel County, New Mexico. Looking northeast across the Juniper Campground Component (CL2J*) from which individuals of Aspidoscelis neomexicana, A. tesselata C and D, A. exsanguis, A. sexlineata viridis, and A. neomexicana 3 A. sexlineata viridis (including AMNH R151739 used in karyotypic and electrophoretic analyses in this study) have been collected.
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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
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International Brain Laboratory public data
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OpenNeuro
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