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76 results for “Comparative ecology”
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.
Fig. 3 in Eudiaptomus transylvanicus and E. vulgaris (Copepoda: Calanoida: Diaptomidae): comparative morphology, distribution and ecology
Fig. 3. Eudiaptomus vulgaris (Schmeil, 1898), female. a – habitus, ventral view; b – genital compound somite; c – rostrum; d – mandible; e – coxa of leg 5; f – exopod 1 and endopod of leg 5; g – leg 5; h – exopods 2 and 3 of leg 5; i – endopod of leg 2, with Schmeilsche lobus. Scale bars: 0.5 mm (a), 100 µm (b), 50 µm (c, e, f, g, h, i), 20 µm (d).
Fig. 2 in Eudiaptomus transylvanicus and E. vulgaris (Copepoda: Calanoida: Diaptomidae): comparative morphology, distribution and ecology
Fig. 2. Eudiaptomus transylvanicus (Daday, 1891), male. a – habitus, ventral view; b, b′ – right antennule; c – rostrum; d – leg 5; e – basis of right leg 5; f – exopod 2 of right leg 5; g – endopod of right leg 5; h – exopod 2 of left leg 5. Scale bars: 500 µm (a), 200 µm (b), 100 µm (b′, c, d), 40 µm (e), 30 µm (f), 20 µm (g, h).
Fig. 1 in Eudiaptomus transylvanicus and E. vulgaris (Copepoda: Calanoida: Diaptomidae): comparative morphology, distribution and ecology
Fig. 1. Eudiaptomus transylvanicus (Daday, 1891), female. a – habitus, lateral view; b – genital compound somite; c, c′ – mandible; d – rostrum; e – endopod of leg 2, with Schmeilsche lobus; f – leg 5; g – exopods 2 and 3 of leg 5; h – endopod of leg 5. Scale bars: 0.5 mm (a), 200 µm (b), 50 µm (c, e), 40 µm (d, g), 10 µm (c′, f, h).
Fig. 4 in Eudiaptomus transylvanicus and E. vulgaris (Copepoda: Calanoida: Diaptomidae): comparative morphology, distribution and ecology
Fig. 4. Eudiaptomus vulgaris (Schmeil, 1898), male. a – habitus, lateral view; b – ultimate segments of right antennule; c – leg 5; d – right leg 5 (coxa and basis) and left leg 5; e – rostrum. Scale bars: 0.5 mm (a), 200 µm (c), 300 µm (b), 50 µm (d, e).
Supporting dataset for manuscript "Estimating the microarthropod diversity in cropping systems by comparing ecological indices across Europe" by Bigiotti et al. 2025
<p>This dataset contains counts of mesofauna individuals classified as Biological Forms (BF). It represent the raw data used for all indices calculation in the manuscript entitled "Microarthropod communities' diversity for soil health assessment: comparing several ecological indices across Europe" by authors Gaia Bigiotti, Francesco Vitali, Stefano Mocali, Giovanni L’Abate, Eligio Malusà, Dawid Kozacki, Irena Bertoncelj, Morgane Ourry, Massimo Pugliese, Heinrich Maisel, Expedito Olimi, Maria Grazia Tommasini, Carlo Jacomini, and Lorenzo D’Avino.</p>
Comparative ecological analysis and predictive modeling of tick-borne pathogens
<p>Tick-borne diseases constitute the predominant vector-borne health threat in North America. Recent observations have noted a significant expansion in the range of the black-legged tick (<em>Ixodes scapularis</em> Say, Acari: Ixodidae), alongside a rise in the incidence of diseases caused by its vectored pathogens: <em>Borrelia burgdorferi</em> (Spirochaetales: Spirochaetaceae), <em>Babesia microti</em> (Piroplasmida: Babesiidae), and <em>Anaplasma phagocytophilium</em> (Rickettsiales: Anaplasmataceae), the causative agents of Lyme disease, babesiosis, and anaplasmosis, respectively. Prior research identified environmental features that influence the ecological dynamics of <em>I. scapularis</em> and <em>B. burgdorferi</em> that can be used to predict the distribution and abundance of these organisms, and thus Lyme disease risk. In contrast, there is a paucity of research into the environmental determinants of <em>B. microti</em> and <em>A. phagocytophilium</em>. Here we use over a decade of surveillance data to model the impact of environmental features on the infection prevalence of these increasingly common human pathogens in ticks across New York State (NYS). Our findings reveal a consistent northward and westward expansion of <em>B. microti</em> in NYS from 2009 to 2019, while the range of <em>A. phagocytophilum</em> varied at fine spatial scales. We constructed biogeographic models using data from over 1000 site-year visits and encompassing more than 250 environmental variables to accurately forecast infection prevalence for each pathogen to future years that were not included in model training. Several environmental features were identified to have divergent effects on the pathogens, revealing potential ecological differences governing their distribution and abundance. These validated biogeographic models are immediately useful for disease prevention efforts.</p>
Рис. 6. МоΔеΛирование экоΛогических ниш коΛораΔского жука ΔΛя ΔаΛьневосточного, европейского и североамериканского ареаΛов метоΔом метрического Δвухмерного шкаΛирования с применением коэффициента Жаккара Fig. 6. Models of ecological niches of the Colorado potato beetle for the Far Eastern, European, and North-American habitats (metric multidimensional scaling, Jaccard index) in Comparative characterization of the ecology of native (Henosepilachna vigintioctomaculata) and invasive (Leptinoatrsa decemlineata) species under the conditions of the monsoon climate in the southern part of the Russian Far East
Рис. 6. МоΔеΛирование экоΛогических ниш коΛораΔского жука ΔΛя ΔаΛьневосточного, европейского и североамериканского ареаΛов метоΔом метрического Δвухмерного шкаΛирования с применением коэффициента Жаккара Fig. 6. Models of ecological niches of the Colorado potato beetle for the Far Eastern, European, and North-American habitats (metric multidimensional scaling, Jaccard index)
Рис. 1. ЗасеΛенность посаΔок картофеΛя коΛораΔским жуком в Приморском крае (2008-2011 гг.) (по: Мацишина, Рогатных 2013) Примечание. БаΛΛ поврежΔения привеΔен по 6-баΛΛьной шкаΛе ВИЗР (Шапиро и Δр., 1980; 1993) in Comparative characterization of the ecology of native (Henosepilachna vigintioctomaculata) and invasive (Leptinoatrsa decemlineata) species under the conditions of the monsoon climate in the southern part of the Russian Far East
Рис. 1. ЗасеΛенность посаΔок картофеΛя коΛораΔским жуком в Приморском крае (2008-2011 гг.) (по: Мацишина, Рогатных 2013) Примечание. БаΛΛ поврежΔения привеΔен по 6-баΛΛьной шкаΛе ВИЗР (Шапиро и Δр., 1980; 1993)
Fig. 6 in Larval development and breeding ecology of Ziegler's Crocodile Newt, Tylototriton ziegleri Nishikawa, Matsui and Nguyen, 2013 (Caudata: Salamandridae), compared to other Tylototriton representatives
Fig. 6. Tylototriton ziegleri larvae from Bao Lac district, Cao Bang Province with indication of the corresponding developmental stage and scale. Photographs of stages 27 to 36 are from preserved eggs photographed under a digital microscope (photos C. Michel) and photographs of stages 44 and 45 are from individuals in life kept at the Me Linh station (photos T. Ziegler).
Fig. 4 in Larval development and breeding ecology of Ziegler's Crocodile Newt, Tylototriton ziegleri Nishikawa, Matsui and Nguyen, 2013 (Caudata: Salamandridae), compared to other Tylototriton representatives
Fig. 4. Drawing of a formol-preserved larva of Tylototriton ziegleri at stage 35. Drawing C. Michel.
Fig. 2 in Larval development and breeding ecology of Ziegler's Crocodile Newt, Tylototriton ziegleri Nishikawa, Matsui and Nguyen, 2013 (Caudata: Salamandridae), compared to other Tylototriton representatives
Fig. 2. Percentage of the number of adults of Tylototriton vietnamensis and T. ziegleri found at each interval of percentage of canopy cover measured above the water of the breeding site.
Fig. 5 in Larval development and breeding ecology of Ziegler's Crocodile Newt, Tylototriton ziegleri Nishikawa, Matsui and Nguyen, 2013 (Caudata: Salamandridae), compared to other Tylototriton representatives
Fig. 5. Metamorph of Tylototriton ziegleri at stage 44, with an additional finger on left hand, collected in Ha Giang Province in 2012 and preserved in ethanol. Photo M. Bernardes.
Fig. 1. A in Larval development and breeding ecology of Ziegler's Crocodile Newt, Tylototriton ziegleri Nishikawa, Matsui and Nguyen, 2013 (Caudata: Salamandridae), compared to other Tylototriton representatives
Fig. 1. A. Adult male of Tylototriton ziegleri; B. Habitat type in Bao Lac district, Cao Bang Province; C. Adult male of Tylototriton vietnamensis; D. Habitat type in Tay Yen Tu Nature Reserve, Bac Giang Province. Photos M. Bernardes.
Fig. 7 in Larval development and breeding ecology of Ziegler's Crocodile Newt, Tylototriton ziegleri Nishikawa, Matsui and Nguyen, 2013 (Caudata: Salamandridae), compared to other Tylototriton representatives
Fig. 7. Dark and light phenotypic variations of Tylototriton vietnamensis found at the type locality. Photo M. Bernardes.
Fig. 3. A in Larval development and breeding ecology of Ziegler's Crocodile Newt, Tylototriton ziegleri Nishikawa, Matsui and Nguyen, 2013 (Caudata: Salamandridae), compared to other Tylototriton representatives
Fig. 3. A: Typical clutch of Tylototriton ziegleri composed by single eggs; B: an exceptional case of "stickiness" where eggs were aggregated in groups of 2–4. Photos M. Bernardes.
Fig. 83. Ratio diagram comparing the mean log10 in Mammals Of The Rio Juruá And The Evolutionary And Ecological Diversification Of Amazonia
Fig. 83. Ratio diagram comparing the mean log10 values for each external and cranial dimension among five species of Oecomys from the Rio Jurua´. Levels of significance in comparisons of the raw variables between pairs of taxa are indicated (* = p <0.05; ** = p <0.01; *** = p <0.001).
Figure 2 in Comparative bite forces and canine bending strength in feline and sabretooth felids: implications for predatory ecology
Figure 2. Scatter plot figures of Log10 body mass (BM in kg) plotted against (A) Log10 bite force (in N) at the canines and (B) Log10 bite force (N) at the carnassial paracone. Symbols:, extant felids; O, Homotherium (crenatidens, latidens, serum); –, Machairodus aphanistus; +, Machairodus giganteus; O, Megantereon (cultridens, sp.); Z, Smilodon fatalis;
Figure 1 in Comparative bite forces and canine bending strength in feline and sabretooth felids: implications for predatory ecology
Figure 1. Skulls of sabrecat Smilodon populator in (A) lateral, (C) ventral, and (E) posterodorsal views, and of lion (Panthera leo) in (B) lateral, (D) ventral, and (F) posterodorsal views, to scale. Shaded areas in (C) and (D) represent the reconstructed cross-sectional area of the masseter–pterygoideus muscle groups, and in (E) and (F) represent the temporalis. The resultant force vector of the masseter–pterygoideus (M) acts through the centroid (white circle in C and D) with an inlever moment arm Im about the temporomandibular joint, and the resultant force vector of the temporalis (T) acts through the centroid (black circle in A and B, white circle in E and F) with an inlever moment arm (It) about the temporomandibular joint.
Figure 3 in Comparative bite forces and canine bending strength in feline and sabretooth felids: implications for predatory ecology
Figure 3. Scatter plots of (A) Log10 body mass (BM in kg) to Log10 canine strength for bending about the lateromedial plane [extant felids: n = 11; Log10(SAP) = −0.850 ± 0.202 + Log10(BM) 0.944 ± 0.125; r = 0.985; F = 289.132; P << 0.001]; (B) Log10 BM (kg) to Log10 canine strength for bending about the anteroposterior plane [Log10(SLM) = −0.750 ± 0.155 + Log10(BM) 0.958 ± 0.096; r = 0.991; F = 503.168; P << 0.001]; (C) Log10 bite force at canine (BF in N) to Log10 canine strength for bending about the lateromedial plane [Log10(SAP) = −2.659 ± 0.756 + Log10(BF) 1.245 ± 0.156; r = 0.987; F = 327.704; P << 0.001]; (D) Log10 BF at canine (N) to Log10 canine strength for bending about the anteroposterior plane [Log10(SLM) = −2.579 ± 0.340 + Log10(BF) 1.260 ± 0.128; r = 0.991; F = 495.725; P << 0.001]. Symbols: Δ, Metailurus major; v, Metailurus parvulus. Other symbols are the same as in Figure 2.
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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.