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3,136 results for “Terrestrialization”
Fig. 5 in New data on the occurrence of terrestrial true bugs (Hemiptera: Heteroptera) in Pieniny Mountains
Fig. 5. Berytinus signoreti. Photo by A. Taszakowski.
Data from: Contrasting nitrogen cycling between herbaceous wetland and terrestrial ecosystems inferred from plant and soil nitrogen isotopes across China
<p><span>Understanding nitrogen (N) cycling in different ecosystems is crucial to predicting and mitigating the global effects of altered N inputs. Although wetlands have always been assumed to differ largely from terrestrial ecosystems in N cycling, evidence from direct comparison from the field along wide environmental gradients is lacking. Here, we hypothesized strong coupling of plant and soil δ<sup>15</sup>N in terrestrial ecosystems due to lower N inputs and losses but weak coupling of plant and soil δ<sup>15</sup>N in wetlands because of higher N inputs and losses.</span></p> <p><span>We performed a large-scale field investigation on 26 pairs of herbaceous wetland and terrestrial sites across China covering 21 degrees of latitude and determined natural abundance of nitrogen isotopes (δ<sup>15</sup>N) in soils and leaves of 346 dominant and subordinate plant species. We analysed the relationships between leaf and soil δ<sup>15</sup>N and their drivers including plant functional types in these two types of ecosystems.</span></p> <p><span>Plant functional types including mycorrhizal type and N2-fixing status had consistently significant influences on leaf δ<sup>15</sup>N in herbaceous wetland and terrestrial ecosystems. Leaf δ<sup>15</sup>N increased significantly with soil δ<sup>15</sup>N within and across mycorrhizal types in both ecosystems, and, as hypothesized, the relationships were stronger and steeper in terrestrial than in wetland ecosystems. Moreover, leaf and soil δ<sup>15</sup>N were positively and significantly correlated within both N<sub>2</sub>-fixers and non-fixers in terrestrial ecosystems and within only non-N<sub>2</sub>-fixers in wetlands. At the community level, we also found more highly significant relationships between leaf and soil δ<sup>15</sup>N in terrestrial than in wetland ecosystems. Besides plant functional types, climatic and soil factors contributed to the variation in leaf δ<sup>15</sup>N in both ecosystems.</span></p> <p><span><em>Synthesis.</em> Weaker relationships between plant and soil δ<sup>15</sup>N in wetlands at species and community levels supports the hypothesis that larger N inputs and losses lead to weaker coupling in the plant-soil systems in wetlands than in terrestrial ecosystems. This provides strong evidence from a large spatial scale for contrasting N cycling in these two types of ecosystems regardless of plant functional type in terms of nutrient uptake strategy. Our findings add to our predictive power of ecosystem N dynamics under environmental changes, e.g. land-use changes and elevated N inputs.</span></p>
Figure 2 from: Villegas-Patraca R, Aguilar-López JL, Hernández-Hernández JC, Muñoz-Jiménez O (2022) Diversity and conservation of terrestrial vertebrates (birds, mammals, and reptiles) of Sierra Cucapá, Mexicali, Baja California, Mexico. ZooKeys 1088: 17-39. https://doi.org/10.3897/zookeys.1088.76134
Figure 2 Differences in species composition between Cucapá and the NPAsA birds B mammals C reptiles. Total difference in species composition (βjac; complete bar), proportion of the difference due to species turnover (βjtu; black portion of bar) and proportion of the difference due to nestedness (βjne; gray portion of bar).
Figure 1 from: Villegas-Patraca R, Aguilar-López JL, Hernández-Hernández JC, Muñoz-Jiménez O (2022) Diversity and conservation of terrestrial vertebrates (birds, mammals, and reptiles) of Sierra Cucapá, Mexicali, Baja California, Mexico. ZooKeys 1088: 17-39. https://doi.org/10.3897/zookeys.1088.76134
Figure 1 Location of protected natural areas in northern Baja California: government NPAs 1) Parque Nacional Constitucion de 1857, 2) Reserva de la Biosfera Alto Golfo de California y Delta del Río Colorado; Ramsar Sites 3) Humedales del Delta del Río Colorado, 4) Sistema de Humedales Remanentes del Río Colorado, 5) Laguna Hanson; Community NPAs 6) Rancho Rodeo del Rey, 7) El Doctor, and Private NPAs 8) Rancho Rodeo del Rey. * indicates the overlap zone between NPAs 2 and 3, + indicates the overlap zone between NPAs 2 and 4.
Figure 3 from: Burda NYe, Zhuravel IO, Dababneh MF, Fedchenkova YA (2019) Analysis of diosgenin and phenol compounds in Tribulus terrestris L. Pharmacia 66(2): 41-44. https://doi.org/10.3897/pharmacia.66.e35023
Figure 3 Diosgenin quantitative determination chromatogram in caltrop herb. 1 – diosgenin standard sample (5 µL / 2,5 µg); 3 – diosgenin standard sample (10 µL / 5 µg); 5 – diosgenin standard sample (15 µL / 7,5 µg); 7 – diosgenin standard sample (10 µL); 9 – diosgenin standard sample (5 µL); 2, 4, 6, 8 – solutions of caltrop herb samples.
Figure 2 from: Burda NYe, Zhuravel IO, Dababneh MF, Fedchenkova YA (2019) Analysis of diosgenin and phenol compounds in Tribulus terrestris L. Pharmacia 66(2): 41-44. https://doi.org/10.3897/pharmacia.66.e35023
Figure 2 Diosgenin identification chromatogram in caltrop herb. 1 – diosgenin standard sample, 2- solution of caltrop herb sample.
Figure 6 from: Burda NYe, Zhuravel IO, Dababneh MF, Fedchenkova YA (2019) Analysis of diosgenin and phenol compounds in Tribulus terrestris L. Pharmacia 66(2): 41-44. https://doi.org/10.3897/pharmacia.66.e35023
Figure 6 The dependence of the area of the chromatographic zones on the content of diosgenin in the sample.
Figure 1 from: Burda NYe, Zhuravel IO, Dababneh MF, Fedchenkova YA (2019) Analysis of diosgenin and phenol compounds in Tribulus terrestris L. Pharmacia 66(2): 41-44. https://doi.org/10.3897/pharmacia.66.e35023
Figure 1 Chromatogram of phenol compounds determination in caltrop herb. 1, 2, 3, 5, 6, 7 – solutions of caltrop herb samples, 4 – solution of standard samples of substances (caffeic acid, chlorogenic acid, rutin, hyperoside).
CarniDIET 1.0: A database of terrestrial, carnivorous mammal diets
<p>Motivation: A species' diet is central to understanding many aspects of its biology, including its behaviour, movement, and ecological niche. The diets of terrestrial carnivorous mammals, defined here as species primarily consuming other mammals (hereafter, mammal-consumers), have been extensively studied and can vary in the proportion of different food types, and species, consumed across their geographic ranges. Accessibility to data capturing such variation in diets of mammal-consumers across the variety of ecosystems they occur in would provide valuable information for conservation, and open research avenues for macroevolution and macroecology. However, data on mammal-consumer diets across their geographic ranges have not been systematically collated. Here, we present CarniDIET (Version 1.0), an open-access database containing quantitative data on the diets of terrestrial mammal-consumers collated from the literature.<br> <br> Main types of variable contained: Diet records capturing the percentage of mammalian prey, to the highest taxonomic resolution available, and non-mammalian food types (e.g. birds, invertebrates) in the diets of mammal-consumers at specific sites and times. Associated data with each diet record includes, where available, age and sex of mammal-consumer, sample size, sample origin, and quantification method as well as spatial and temporal variables including dates, season, study site, altitude and coordinates.<br> <br> Spatial location and grain: Global, terrestrial. The spatial grain varies among sites from 0.03km2 to 100000km2, with a median of 170km2. Study centroids are provided as latitude-longitude coordinates.<br> <br> Time period and grain: Original diet samples were collected between 1933 and 2017, with half of studies collected between 1994 and 2008. Studies summarise diets from one month to 66 years, with a median of one year.<br> <br> Major taxa and level of measurement: Terrestrial carnivorous mammals that primarily consume other mammals (103 species). Studies generally represent species' population averages, although can include demographic breakdowns.</p>
Fig. 7 in Morphometry Of The Digestive Gland Of Terrestrial Mollusks Cornu Aspersum (Gastropoda, Helicidae)
Fig. 7. Structure of the digestive gland's capsule of Cornu aspersum with one layer of muscle bundles (Heidenhain's azan): layer of muscle bundles (1), layer of collagen fibers (2), collagen fibers in the muscle layer (3), epithelial layer (4), epithelial microciliae (5).
Terrestrial and aerial photos, GCPs and derived point clouds of a sinkhole in Northern Thuringia
<p>Aiming at comparing the results of using either terrestrial or aerial photos for structure from motion photogrammetry of a sinkhole in Northern Thuringia we took these photos in 2017, 2018 and 2019 and surveyed ground control points. Therefore, the data allows both, the comparison of the results of using terrestrial or aerial photos for the 3D reconstruction, and the mulit-year monitoring of geomorphic changes within the sinkhole.</p>
Number of terrestrial leeches with human-bait method and environmental variables in peninsular Malaysia
<p>This is the data on the number of terrestrial leeches (brown <em>Haemadipsa</em> sp.) collected and environmental variables at the sampling site in Endau Rompin National Park in Malaysia. <span>We investigated </span><span>relative abundance of terrestrial leeches repeatedly at </span><span>99 sampling points in the tourism area of ERNP from February 2019 to September 2020. </span><span>We counted the number of leeches at each sampling point based on the human-bait method, wherein the researcher is considered as the bait (Schnell et al. 2015, Fahmy et al. 2019). To activate the leeches before sampling, the leaf litter was blown upon and stirred with a twig in a 1.5-m radius from the sampling point. A researcher then stood at the sampling point and collected all the leeches attracted and attached to the body in a five-minute sampling session (Kendall</span><span>, 2012)</span><span>. We collected the leeches in a vial and measured the diameter of the sucking cup of each individual as a proxy for leech size: <1.5 mm = small, 1.5–3.0 mm = medium, and >3.0 mm = large. At the start of the sampling session, any leeches on </span><span>the researcher's body were removed and discarded. The leeches collected in the vial were all released at the sampling point after being counted and measured. Since leeches could detect host up to 2.0 m in our pilot survey, the relative abundance here can be regarded as a rough estimate of density of active leeches per 12.6 m<sup>2</sup> (an area within 2-m radius).</span></p> <p><span><span>The microenvironmental variables at each sampling point and time were measured to examine their effects on active leech relative abundance. These variables included air humidity, air temperature (°C), light intensity (lux), altitude (m), distance to the nearest river (m), distance to the nearest rain flow path (i.e., small valley through which water would flow in heavy rain) (m), percentage of bare ground (%), percentage of canopy openness (%), mean litter layer depth (mm), and topsoil moisture (%). Air humidity, air temperature</span><span>, and light intensity were measured using a handheld Illuminance UV recorder</span><span> (TR-74Ui</span><span>)</span><span>. The distances to the nearest stream and river were calculated using ArcMap 10.2.2. (ESRI Inc.</span><span>). The altitude was measured </span><span>using </span><span>a handheld Garmin geographic positioning system (GPS). The percentage of canopy openness and bare ground were measured using hemispherical photography via smartphone cameras equipped with "fisheye" lenses (Bianchi et al. 2017)</span><span> in </span><span>the near-vertical skyward and downward directions, respectively. The </span><span>litter layer depths were visually measured using a ruler. Soil moisture was measured directly at every sampling point using </span><span>a soil moisture meter (Takemura Soil Moisture Meter DM 18).</span> <span>The </span><span>percentages of bare ground, canopy openness, litter layer depth, and topsoil moisture, were recorded three times at randomly selected points around the sampling point</span><span>, and the average value was considered for the analyses</span><span>.</span></span></p> <p><span>To measure human and wildlife relative abundance, we installed passive infrared camera traps (O'Connell et al. 2011) (Ltl Acorn Ltl-6210MC, Cams Co., Ltd., Tokyo, Japan), which were triggered automatically by movement, at 24 on-trail sampling points. The camera was operated from February 2019 to September 2020 (560 days and 8,230 trap nights). The sampling points included trails with a gradient of tourist-use frequency. Each camera was mounted approximately 30–40 cm above the ground (Luo et al. 2019) to capture a wide range of animals of different sizes (Mugerwa et al. 2013). </span></p> <p><span><span> <span>The cameras were set up in video mode with 15 s in video length and 30 s in the interval between videos, which was sufficient to record </span><span>the group activity of potential hosts (wildlife or humans). </span><span>The number of individuals in each video</span><span> was counted. </span><span>To prevent double-counting individuals, a one-hour interval sequence was introduced between videos of a specific individual of the same species (Azlan & Sharma 2006). Each animal in the videos was identified at the species level</span><span>, based on </span><span>Francis (2008)</span><span>. Due to low image resolution, we could not identify small</span><span>er animals, such as </span><span>bats and rats at </span><span>the species level.</span></span></span></p>
Supplementary material 1 from: Prigot-Maurice C, Depeux C, Paulhac H, Braquart-Varnier C, Beltran-Bech S (2022) Immune priming in Armadillidium vulgare against Salmonella enterica: direct or indirect costs on life history traits? In: De Smedt P, Taiti S, Sfenthourakis S, Campos-Filho IS (Eds) Facets of terrestrial isopod biology. ZooKeys 1101: 131-158. https://doi.org/10.3897/zookeys.1101.77216
Tables S1–S4, Figures S1–S3
Supplementary material 1 from: Zidar P, Fišer Ž (2022) Avoidance behaviour toxicity tests should account for animal gregariousness: a case study on the terrestrial isopod Porcellio scaber. In: De Smedt P, Taiti S, Sfenthourakis S, Campos-Filho IS (Eds) Facets of terrestrial isopod biology. ZooKeys 1101: 87-108. https://doi.org/10.3897/zookeys.1101.76711
Table S1–S7
Supplementary material 2 from: Vittori M, Dominko M (2022) A bibliometric analysis of research on terrestrial isopods. In: De Smedt P, Taiti S, Sfenthourakis S, Campos-Filho IS (Eds) Facets of terrestrial isopod biology. ZooKeys 1101: 13-34. https://doi.org/10.3897/zookeys.1101.81016
Number of publications according to institution
Supplementary material 3 from: Vittori M, Dominko M (2022) A bibliometric analysis of research on terrestrial isopods. In: De Smedt P, Taiti S, Sfenthourakis S, Campos-Filho IS (Eds) Facets of terrestrial isopod biology. ZooKeys 1101: 13-34. https://doi.org/10.3897/zookeys.1101.81016
Most influential publications on terrestrial isopods
Supplementary material 1 from: Vittori M, Dominko M (2022) A bibliometric analysis of research on terrestrial isopods. In: De Smedt P, Taiti S, Sfenthourakis S, Campos-Filho IS (Eds) Facets of terrestrial isopod biology. ZooKeys 1101: 13-34. https://doi.org/10.3897/zookeys.1101.81016
Number publications according to country
FIGURE 34 in Two new genera and six new species of Terrestrial Hydrometridae (Hemiptera: Heteroptera) from French Polynesia
FIGURE 34. Distribution of Dolichocephalometra pacifica in the northern Marquesas Islands.
Supplementary material 3 from: Bernardo-Madrid R, González-Moreno P, Gallardo B, Bacher S, Vilà M (2022) Consistency in impact assessments of invasive species is generally high and depends on protocols and impact types. In: Giannetto D, Piria M, Tarkan AS, Zięba G (Eds) Recent advancements in the risk screening of freshwater and terrestrial non-native species. NeoBiota 76: 163-190. https://doi.org/10.3897/neobiota.76.83028
Figure S1
Supplementary material 2 from: Bernardo-Madrid R, González-Moreno P, Gallardo B, Bacher S, Vilà M (2022) Consistency in impact assessments of invasive species is generally high and depends on protocols and impact types. In: Giannetto D, Piria M, Tarkan AS, Zięba G (Eds) Recent advancements in the risk screening of freshwater and terrestrial non-native species. NeoBiota 76: 163-190. https://doi.org/10.3897/neobiota.76.83028
Impact assessments and function to calculate G coefficient
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