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26 pages, 6618 KiB  
Article
Monitoring Saltmarsh Restoration in the Upper Bay of Fundy Using Multi-Temporal Sentinel-2 Imagery and Random Forests Classifier
by Swarna M. Naojee, Armand LaRocque, Brigitte Leblon, Gregory S. Norris, Myriam A. Barbeau and Matthew Rowland
Remote Sens. 2024, 16(24), 4667; https://doi.org/10.3390/rs16244667 - 13 Dec 2024
Abstract
Saltmarshes provide important ecosystem services, including coastline protection, but face decline due to human activities and climate change. There are increasing efforts to conserve and restore saltmarshes worldwide. Our study evaluated the effectiveness of Sentinel-2 satellite imagery to monitor landcover changes using a [...] Read more.
Saltmarshes provide important ecosystem services, including coastline protection, but face decline due to human activities and climate change. There are increasing efforts to conserve and restore saltmarshes worldwide. Our study evaluated the effectiveness of Sentinel-2 satellite imagery to monitor landcover changes using a saltmarsh restoration project undergoing its 9th to 12th year of recovery in the megatidal Bay of Fundy in Maritime Canada. Specifically, in 2019–2022, five satellite images per growing season were acquired. Random Forests classification for 13 landcover classes (ranging from bare mud to various plant communities) achieved a high overall classification accuracy, peaking at 96.43% in 2021. Field validation points confirmed this, with high validation accuracies reaching 93.02%. The classification results successfully distinguished ecologically significant classes, such as Spartina alternifloraS. patens mix. Our results reveal the appearance of high marsh species in restoration sites and elevational-based zonation patterns, indicating progression. They demonstrate the potential of Sentinel-2 imagery for monitoring saltmarsh restoration projects in north temperate latitudes, aiding management efforts. Full article
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Figure 1

Figure 1
<p>Location of the 4 saltmarsh sites in Aulac, New Brunswick, in Sentinel-2 imagery acquired on 3 May 2021. A and D are the reference sites, and B and C the restoration sites.</p>
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<p>Flowchart presenting the main image processing steps (input data in purple; image processing in light green, image classifier in pink; results in blue).</p>
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<p>Landcover map of reference site A obtained by applying the RF classifier to multi-temporal Sentinel-2 images for 2019, 2020, 2021, and 2022.</p>
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<p>Landcover map of reference site A obtained by applying the RF classifier to multi-temporal Sentinel-2 images for 2019, 2020, 2021, and 2022.</p>
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<p>Landcover map of reference site D obtained by applying the RF classifier to multi-temporal Sentinel-2 images for 2019, 2020, 2021, and 2022.</p>
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<p>Landcover map of restoration site B obtained by applying the RF classifier to multi-temporal Sentinel-2 images for 2019, 2020, 2021, and 2022.</p>
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<p>Landcover map of restoration site C obtained by applying the RF classifier to multi-temporal Sentinel-2 images for 2019, 2020, 2021, and 2022.</p>
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15 pages, 310 KiB  
Article
Characterization of In Situ Ruminal Degradation of Crude Protein and Individual Amino Acids from Ryegrass
by Álvaro G. Morales, Álvaro R. Navarro, Rubén G. Pulido and Mark D. Hanigan
Agriculture 2024, 14(12), 2283; https://doi.org/10.3390/agriculture14122283 - 13 Dec 2024
Viewed by 190
Abstract
In temperate pasture-based dairy systems, ryegrass (Lolium perenne L.) is a key forage due to its high crude protein (CP) content, yet its rapid ruminal degradation could limit the supply of rumen-undegraded protein and essential amino acids (EAAs) to dairy cows. This [...] Read more.
In temperate pasture-based dairy systems, ryegrass (Lolium perenne L.) is a key forage due to its high crude protein (CP) content, yet its rapid ruminal degradation could limit the supply of rumen-undegraded protein and essential amino acids (EAAs) to dairy cows. This study aimed to investigate the in situ ruminal degradability of CP and individual amino acids (AAs) in fresh ryegrass at the vegetative stage. Three second-parity, rumen-cannulated Holstein Friesian cows (487 kg body weight, 16.5 kg milk/day) were used for the incubation of ryegrass samples collected in different seasons at the vegetative stage. The degradation kinetics were assessed using the Ørskov and McDonald model, with mathematical corrections for microbial contamination. Results showed that the effective degradability (ED) of AAs was generally higher than that of CP (p < 0.05), exceeding 2%, and that some EAAs, particularly lysine, exhibited an ED up to 5.5% greater than CP (p < 0.05). These differences underscore the need for caution when using CP as a proxy for AA degradation in dietary formulations. Given the high degradability of ryegrass AAs, it would be important to monitor and adjust their supply in diets with high ryegrass inclusion to prevent potential deficiencies that could impair milk production and reduce feed efficiency. Full article
(This article belongs to the Special Issue Assessment of Nutritional Value of Animal Feed Resources)
12 pages, 1634 KiB  
Article
Mating Type of Native Aspergillus flavus Strains Causing Corn Ear Rot in Argentina
by Agustina María Ruiz Posse, Ada Karina Torrico Ramallo, Javier Miguel Barontini and Boris Xavier Camiletti
Agronomy 2024, 14(12), 2962; https://doi.org/10.3390/agronomy14122962 (registering DOI) - 12 Dec 2024
Viewed by 224
Abstract
Fungi of the Aspergillus genus, particularly A. flavus, pose a significant threat to maize crops as they can produce toxic and carcinogenic aflatoxin compounds. This study focused on identifying the sexual mating types, MAT1-1 and MAT1-2, through PCR in A. flavus strains [...] Read more.
Fungi of the Aspergillus genus, particularly A. flavus, pose a significant threat to maize crops as they can produce toxic and carcinogenic aflatoxin compounds. This study focused on identifying the sexual mating types, MAT1-1 and MAT1-2, through PCR in A. flavus strains isolated from maize ears in two agricultural regions of Argentina—one subtropical and the other temperate—from the 2012/13 to the 2020/21 growing season. A total of 81 strains were analyzed, revealing a higher frequency of the MAT1-1 type in both regions (69%) and in the seasons with the highest number of strains collected. The MAT1-1 strains included 63% non-aflatoxigenic and 37% aflatoxin producers, predominantly lacking sclerotia production (69%), while MAT1-2 strains were mostly aflatoxin producers (82%) and S-sclerotia producers (48%). Additionally, more vegetative compatibility groups were identified as MAT1-1 (4 out of 6) than MAT1-2. These findings suggest that the use of MAT1-1 strains as biocontrol agents could maintain the stability of natural populations and reduce aflatoxin production, minimizing risks to crops. This underscores the importance of evaluating the genetic structure of A. flavus populations to implement effective biological control strategies. Full article
(This article belongs to the Section Pest and Disease Management)
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Figure 1
<p>Gel electrophoresis image showing PCR products for mating type identification in fungal strains. M: molecular weight marker (100 bp). MAT1-1 = 1: AS04322. 2: AS03145. 4: AS04001. MAT1-2 = 3: AS00019. 5: ASQU16. C: control.</p>
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<p>Distribution of the mating type of <span class="html-italic">A. flavus</span> strains in regions I and IV of Argentina.</p>
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<p>Distribution of the aflatoxigenic (black) or non-aflatoxigenic (gray) types, separated by the MAT genotype.</p>
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<p>Distribution of mating type MAT1-1 and MAT1-2 among the vegetative compatibility groups (VCGs) of <span class="html-italic">A. flavus</span>. Bars represent the proportion of MAT1-1 (black) or MAT1-2 (gray) <span class="html-italic">A. flavus</span> isolates in each VCG.</p>
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19 pages, 12447 KiB  
Article
Characteristics of Strong Cooling Events in Winter of Northeast China and Their Association with 10–20 d Atmosphere Low-Frequency Oscillation
by Qianhao Wang and Liping Li
Atmosphere 2024, 15(12), 1486; https://doi.org/10.3390/atmos15121486 (registering DOI) - 12 Dec 2024
Viewed by 232
Abstract
In the past 42 years from 1980 to 2021, 103 regional strong cooling events (RSCEs) occurred in winter in Northeast China, and the frequency has increased significantly in the past 10 years, averaging 2.45 per year. The longest (shortest) duration is 10 (2) [...] Read more.
In the past 42 years from 1980 to 2021, 103 regional strong cooling events (RSCEs) occurred in winter in Northeast China, and the frequency has increased significantly in the past 10 years, averaging 2.45 per year. The longest (shortest) duration is 10 (2) days. The minimum temperature series in 60 events exists in 10–20 d of significant low-frequency (LF) periods. The key LF circulation systems affecting RSCEs include the Lake Balkhash–Baikal ridge, the East Asian trough (EAT), the robust Siberian high (SH) and the weaker (stronger) East Asian temperate (subtropical) jet, with the related anomaly centers moving from northwest to southeast and developing into a nearly north–south orientation. The LF wave energy of the northern branch from the Atlantic Ocean disperses to Northeast China, which excites the downstream disturbance wave train. The corresponding LF positive vorticity enhances and moves eastward, leading to the formation of deep EAT. The enhanced subsidence motion behind the EAT leads to SH strengthening. The cold advection related to the northeast cold vortex is the main thermal factor causing the local temperature to decrease. The Scandinavian Peninsula is the primary cold air source, and the Laptev Sea is the secondary one, with cold air from the former along northwest path via the West Siberian Plain and Lake Baikal, and from the latter along the northern path via the Central Siberian Plateau, both converging towards Northeast China. Full article
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Figure 1
<p>The regional average frequency of the winter RSCEs in Northeast China from 1980 to 2021. Unit: number of occurrences.</p>
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<p>(<b>a</b>) Morlet wavelet energy spectrum of the regional average daily minimum temperature in the winter of 2020 in Northeast China (contours). The shaded area is significant at the 0.1 level. The area between the red vertical lines is winter, while the red horizontal lines correspond to 10 d, 20 d, 30 d, 60 d, and 90 d, respectively. (<b>b</b>) The above minimum temperature series (bar, °C) and its 10–20 d components (solid line, °C). The interval between the two vertical lines denotes the strong cooling process, with the 3–7 phase.</p>
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<p>The 10–20 d (<b>a1</b>–<b>a3</b>) 300 hPa zonal wind fields (shaded, m/s), (<b>b1</b>–<b>b3</b>) 500 hPa geopotential height fields (shaded, gpm; contours: unfiltered), (<b>c1</b>–<b>c3</b>) 850 hPa wind (vectors, m/s) and temperature fields (shaded, <span class="html-italic">K</span>), and (<b>d1</b>–<b>d3</b>) SLP fields (shaded, hPa; contours: unfiltered) composited by 60 RSCEs at phases 3, 5, and 7, respectively. The dotted areas are significant at the 0.01 level. “+” (“−”) indicates a positive (negative) anomaly.</p>
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<p>(<b>a</b>–<b>c</b>) The 850 hPa 10–20 d isobaric PV (shaded, <math display="inline"><semantics> <mrow> <mi>P</mi> <mi>V</mi> <mi>U</mi> </mrow> </semantics></math>) fields composited by 60 RSCEs at phases 3, 5, and 7, respectively. The dotted areas are significant at the 0.01 level. “+” (“−”) indicates a positive (negative) anomaly.</p>
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<p>Height–longitude profiles of meridional average 10–20 d (<b>a</b>–<b>c</b>) vorticity (shaded, <math display="inline"><semantics> <msup> <mn>10</mn> <mrow> <mo>−</mo> <mn>6</mn> </mrow> </msup> </semantics></math> s<sup>−1</sup>) and (<b>d</b>–<b>f</b>) divergence (shaded, 10<sup>−7</sup> s<sup>−1</sup>) along the latitudes 50–70° N, 50–60° N and 40–55° N at phases 3, 5, and 7, respectively. The vector is 10–20 d vertical zonal circulation (m/s). The dotted areas are significant at the 0.01 level.</p>
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<p>(<b>a</b>–<b>c</b>) 300 hPa 10–20 d horizontal WAF (vector, m<sup>2</sup>/s<sup>2</sup>) and its divergence (shaded, <math display="inline"><semantics> <msup> <mn>10</mn> <mrow> <mo>−</mo> <mn>8</mn> </mrow> </msup> </semantics></math> m/s<sup>2</sup>) and 10–20 d geostrophic stream function (contours, <math display="inline"><semantics> <msup> <mn>10</mn> <mn>5</mn> </msup> </semantics></math> m<sup>2</sup>s) composited by 60 RSCEs at phases 3, 5, and 7, respectively. The dotted areas are significant at the 0.01 level.</p>
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<p>The 850 hPa 10–20 d (<b>a</b>–<b>c</b>) local temperature change, (<b>d</b>–<b>f</b>) temperature advection, (<b>g</b>–<b>i</b>) vertical motion adiabatic change, and (<b>j</b>–<b>l</b>) diabatic heating composited by 60 RSCEs at phases 3, 5, and 7, respectively. Unit: K/day, the dotted areas are significant at the 0.01 level.</p>
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<p>The 850 hPa 10–20 d thermodynamic energy equation evolution of each term’s regional mean in Northeast China at phases 3–7.</p>
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<p>(<b>a</b>) Weighted K-means clustering of stations in Northeast China; the “▼” are for four representative stations (S1, S2, S3, and S4) and the “★” are for the cluster centers. (<b>b</b>) The cold air HYSPLIT backward trajectory simulation for 60 RSCEs at four representative stations in Northeast China. The percentage represents the contribution ratio.</p>
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18 pages, 3050 KiB  
Article
Seasonal Water-Column Structure Drives the Trophic Niche of Fish Communities on a Temperate Continental Shelf
by Goutam Kumar Kundu, Changseong Kim, Jaebin Jang, Chung Il Lee, Dongyoung Kim, Weol-Ae Lim, Jung Hwa Choi and Chang-Keun Kang
Biology 2024, 13(12), 1041; https://doi.org/10.3390/biology13121041 (registering DOI) - 12 Dec 2024
Viewed by 251
Abstract
In seasonally stratified marine environments, the dynamics of benthic–pelagic coupling plays a crucial role in shaping food web structures and fisheries production. We examined fish food web structures across three distinct shelf areas in the Southern Sea of Korea (SSK) during both stratified [...] Read more.
In seasonally stratified marine environments, the dynamics of benthic–pelagic coupling plays a crucial role in shaping food web structures and fisheries production. We examined fish food web structures across three distinct shelf areas in the Southern Sea of Korea (SSK) during both stratified (summer) and mixed (spring) water conditions using stable isotopes of carbon (δ13C) and nitrogen (δ15N). In spring, fish communities exhibited a broader range of δ13C values compared with summer, indicating more diverse feeding strategies. Seasonal variations in the proportion of benthic and pelagic prey in consumer diets highlighted shifts in benthic–pelagic coupling, illustrating how consumers adjust their reliance on benthic or pelagic resources. The relative importance of the benthic pathway varied among species groups throughout the year. During stratified conditions, reduced benthic–pelagic coupling led to increased reliance on benthic prey, particularly in the oligotrophic region influenced by the Tsushima Warm Current (TWC). The food web spanned five trophic levels, with a median of 3.6. Several species, notably benthic ones, declined in their trophic positions during the summer stratification. These results suggest that fish food webs in the SSK are shaped by temperature-driven seasonal bottom-up control. Our findings further offer insights into how increased water-column stratification could impact the trophic niches of shelf-food webs in the TWC region. Full article
(This article belongs to the Special Issue Applications of Stable Isotope Analysis in Ecology)
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Figure 1

Figure 1
<p>Map showing the study area in the Southern Sea of Korea/northern East China Sea and the three sampling areas to the east (ER), west (WR), and south (SR) off the coast of Jeju Island. Arrows represent the direction of current flow, the solid line color scale indicates the intensity of currents, and the dashed line approximates the water volume of the currents. The map was generated using the Ocean Data view, version 4.7.2 (2015).</p>
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<p>Bi-plots of δ<sup>13</sup>C and δ<sup>15</sup>N values of organic matter sources (phytoplankton, suspended particulate organic matter [POM], and sedimentary organic matter [SOM]) and consumers collected in spring and summer in three areas off the coast of Jeju Island in the Southern Sea of Korea/northern East China Sea. Consumers were categorized based on their primary feeding zone (pelagic, benthopelagic, and benthic). The horizontal and vertical bars represent the standard deviation. The dotted grey lines represent trophic enrichment factors (1.3‰ and 3.3‰ in δ<sup>15</sup>N and δ<sup>13</sup>C per trophic level).</p>
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<p>Isotopic niche of consumers in the Southern Sea of Korea in spring and summer. Niche regions were obtained from ten random two-dimensional elliptical projections covering 95% probabilistic region based on δ<sup>13</sup>C and δ<sup>15</sup>N values. Dotted symbols inside the ellipses represent the raw δ<sup>13</sup>C and δ<sup>15</sup>N values. The plots along the axis are one-dimensional density distributions of δ<sup>13</sup>C and δ<sup>15</sup>N values. The box plot represents the estimates of isotopic niche region size (mean ± 1 SD).</p>
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<p>Posterior distribution of the probabilistic niche overlap (%) between consumer’s niche (N<sub>R</sub> of 95%) of two seasons from the Southern Sea of Korea. The vertical solid lines represent posterior means and dotted lines represent 95% CI. The arrows indicate the directions of niche overlaps between the communities.</p>
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<p>Seasonal variation in the probabilistic niche overlap (%) among the isotopic niche (N<sub>R</sub> of 95%) of three groups of consumers from the Southern Sea of Korea. The circles represent the posterior mean overlap (%), and the horizontal lines represent the 95% CI. P, B, and BP stand for pelagic, benthic, and benthopelagic consumers, respectively.</p>
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<p>Variation in estimated trophic position (TP) of selected species collected from the Southern Sea of Korea. Species codes, Eastern Region: AUJ <span class="html-italic">Aulopus japonicas</span>, DET <span class="html-italic">Dentex tumifrons</span>, KAE <span class="html-italic">Kaiwarinus eqquula</span>, LOL <span class="html-italic">Lophius litulon</span>, OCV <span class="html-italic">Octopus vulgaris</span>, SEE <span class="html-italic">Sepia esculenta</span>, THM <span class="html-italic">Thunnus hynnus</span>, TRJ <span class="html-italic">Trachurus japonicas</span>, ZEN <span class="html-italic">Zenopsis nebulosi</span>, ZEF <span class="html-italic">Zeus faber</span>; Souther Region: AlJ <span class="html-italic">Alpheus japonicas</span>, CAL <span class="html-italic">Carcinoplax longimana</span>, DAA <span class="html-italic">Dardanus arrosa</span>, DET <span class="html-italic">Dentex tumifrons</span>, HOA <span class="html-italic">Hoplobrotula armata</span>, LOL <span class="html-italic">Lophius litulon</span>, SEE <span class="html-italic">Sepia esculenta</span>, XEE <span class="html-italic">Xenocephalus elongates</span>, TRJ <span class="html-italic">Trachurus japonicas</span>, PSA <span class="html-italic">Psenopsis anomala</span>, TRL <span class="html-italic">Trichiurus lepturus</span>, ZEF <span class="html-italic">Zeus faber</span>; Western Region: APL <span class="html-italic">Apogon lineatus</span>, CHB <span class="html-italic">Charybdis bimaculata</span>, COM <span class="html-italic">Conger myriaster</span>, CRH <span class="html-italic">Crangon hakodatei</span>, LOL <span class="html-italic">Lophius litulon</span>, MIM <span class="html-italic">Miichthys miiuy</span>, ORS <span class="html-italic">Oratosquilla</span> sp., OVP <span class="html-italic">Ovalipes punctatus</span>, ENJ <span class="html-italic">Engraulis japonicas</span>, KOP <span class="html-italic">Konosirus punctatus</span>, SCJ <span class="html-italic">Scomber japonicas</span>, SET <span class="html-italic">Setipinna tenuifilis</span>, SOP <span class="html-italic">Solenocera prominentis</span>, PAE <span class="html-italic">Pampus echinogaster</span>.</p>
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<p>The estimated relative contribution of the benthic pathway to consumer nutrition based on a two-source Bayesian mixing model using δ<sup>13</sup>C and δ<sup>15</sup>N values. Points show the estimated mean, and the vertical bars represent the 95% credible intervals of the posterior distribution. See <a href="#app1-biology-13-01041" class="html-app">Table S3</a> for the posterior distribution of individual species. Species cods are in <a href="#biology-13-01041-f006" class="html-fig">Figure 6</a>.</p>
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13 pages, 6974 KiB  
Article
Polymorphism in N-(3-Hydroxyphenyl)-3-methoxybenzamide
by Sumaya K. Al-Rawe, Daniil Baranov, Agnieszka K. Bronowska, Celine Cano, Michael A. Carroll and Paul G. Waddell
Crystals 2024, 14(12), 1070; https://doi.org/10.3390/cryst14121070 - 12 Dec 2024
Viewed by 297
Abstract
N-(3-hydroxyphenyl)-3-methoxybenzamide was synthesised by amide coupling. After crystallisation, single-crystal X-ray diffraction revealed two distinct polymorphs of the compound: one in the orthorhombic space group Pna21 with one molecule in the asymmetric unit (Z′ = 1) and a second [...] Read more.
N-(3-hydroxyphenyl)-3-methoxybenzamide was synthesised by amide coupling. After crystallisation, single-crystal X-ray diffraction revealed two distinct polymorphs of the compound: one in the orthorhombic space group Pna21 with one molecule in the asymmetric unit (Z′ = 1) and a second in the triclinic space group P-1 with two molecules in the asymmetric unit (Z′ = 2). A comparison of the structures reveals that the differences between the two can be attributed to conformational variations, disorder, and the dimensionality of the hydrogen bonding networks, with one forming a three-dimensional net and the other forming layers that exhibit approximate p21/b11 layer group symmetry. Molecular dynamics simulations and well-tempered metadynamics-enhanced sampling calculations provide insight into the transition of one polymorph into the other at room temperature. The efficiency of the crystal packing is assessed by a comparison of the densities and melting points of the two structures. Full article
(This article belongs to the Section Organic Crystalline Materials)
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Figure 1

Figure 1
<p><span class="html-italic">N</span>-(3-hydroxyphenyl)-3-methoxybenzamide with the numbering scheme and other labels used in this article.</p>
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<p>Reaction scheme detailing the amide coupling resulting in <span class="html-italic">N</span>-(3-hydroxyphenyl)-3-methoxybenzamide.</p>
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<p>The asymmetric units of polymorph I (<b>left</b>) and polymorph II (<b>right</b>) with ellipsoids drawn at the 50% probability level. Hydrogen atoms not involved in hydrogen bonding and the minor disorder component in polymorph II was omitted for clarity.</p>
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<p>Overlay diagram of molecule 1 (red) and molecule 2 (blue) of polymorph II.</p>
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<p>Overlay diagram of polymorph I (yellow) with molecule 1 (red) and molecule 2 (blue) of polymorph II. The minor disorder component was omitted for clarity.</p>
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<p>The C(4) hydrogen bonding motif along the [100] direction in the structure of polymorph I viewed down the [010] direction with hydrogen bonds depicted as dashed lines. Hydrogen atoms not involved in hydrogen bonding were omitted for clarity.</p>
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<p>The two C(8) hydrogen bonding motifs along the [011] (<b>top</b>) and [0-11] (<b>bottom</b>) directions in the structure of polymorph I with hydrogen bonds depicted as dashed lines. Hydrogen atoms not involved in hydrogen bonding were omitted for clarity.</p>
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<p>The C(6) hydrogen bonding motif along the [0-11] direction in the structure of polymorph II viewed down the [001] direction (<b>left</b>) and down the [0-11] direction showing the approximate glide symmetry (<b>right</b>). Hydrogen bonds are depicted as dashed lines, and hydrogen atoms not involved in hydrogen bonding were omitted for clarity.</p>
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<p>The two-dimensional hydrogen bonding motif in the (110) plane of the structure of polymorph II. The inversion centres (blue circles) and approximate screw axes (red arrows), and glide planes (pink dashes) are shown to demonstrate the approximate <span class="html-italic">p</span>2<sub>1</sub>/<span class="html-italic">b</span>11 layer group symmetry. Hydrogen bonds are depicted as dashed lines, and hydrogen atoms not involved in hydrogen bonding were omitted for clarity.</p>
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<p>The crystals of polymorph I (<b>left</b>) and polymorph II (<b>right</b>) for which data were collected.</p>
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<p>(<b>a</b>) The asymmetric unit of polymorph I, coloured to reflect computed root-mean-square fluctuations (RMSFs) from the lowest (blue) to the highest (red) flexibility. Torsional angles ψ and ϕ are highlighted. (<b>b</b>) Sampling over torsional angles Ψ and ϕ over 100 ns of equilibrium MD simulations and the torsional distribution of Ψ and ϕ angles for polymorph I. (<b>c</b>) The asymmetric unit of polymorph II, coloured as in panel (<b>a</b>). (<b>d</b>) Sampling over torsional angles Ψ and ϕ for over 100 ns of equilibrium MD simulations and the torsional distribution of Ψ and ϕ angles for polymorph II in the interior of the crystal.</p>
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<p>(<b>a</b>) The asymmetric unit of polymorph II at the crystal surface, coloured to reflect computed root-mean-square fluctuations (RMSFs) from the lowest (blue) to the highest (red) flexibility. Torsional angles Ψ and ϕ are highlighted for each monomer. (<b>b</b>) Sampling over torsional angles Ψ and ϕ of each monomer shown in (<b>a</b>) over 100 ns of equilibrium MD simulations. (<b>c</b>) The asymmetric unit of polymorph II at the crystal surface after the phase transition resembling polymorph I with molecules coloured as in (<b>a</b>). (<b>d</b>) Sampling over torsional angles Ψ and ϕ over 100 ns of equilibrium MD simulations and the torsional distribution of Ψ and ϕ angles for the phase-transitioned polymorph II.</p>
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<p>Potential energy surfaces of both polymorphs explored during well-tempered metadynamics simulations. The ϕ (<span class="html-italic">X</span>-axis) and Ψ (<span class="html-italic">Y</span>-axis) dihedral angles were selected as collective variables. During the simulations, the molecules were biased to explore all possible combinations of ϕ and Ψ dihedrals. Energy values [kJ/mol] are indicated by colour gradient, from dark blue (minima) to yellow (maxima).</p>
Full article ">
12 pages, 1378 KiB  
Review
Ergogenic and Sympathomimetic Effects of Yohimbine: A Review
by Sophia L. Porrill, Rebecca R. Rogers and Christopher G. Ballmann
Neurol. Int. 2024, 16(6), 1837-1848; https://doi.org/10.3390/neurolint16060131 - 12 Dec 2024
Viewed by 202
Abstract
The purpose of this review is to compile and discuss available evidence in humans on the efficacy of YHM supplementation on performance in different exercise modalities. Yohimbine (YHM) is a naturally occurring alkaloid that induces increases in sympathetic nervous system (SNS) activation effectively [...] Read more.
The purpose of this review is to compile and discuss available evidence in humans on the efficacy of YHM supplementation on performance in different exercise modalities. Yohimbine (YHM) is a naturally occurring alkaloid that induces increases in sympathetic nervous system (SNS) activation effectively initiating “fight or flight” responses. In supplement form, YHM is commonly sold as an isolated product or combined into multi-ingredient exercise supplements and is widely consumed in fitness settings despite the lack of empirical support until recently. YHM primarily acts as an α2-adrenergic receptor antagonist effectively increasing norepinephrine release from sympathetic neurons. YHM has been implicated in improving or altering cardiovascular function, blood flow, lactate metabolism, and muscle function. Emerging evidence has suggested that YHM may have the potential to improve performance in a wide range of exercise modes including endurance, sprint, and resistance exercise. Performance enhancement with YHM is mediated by mechanistic underpinnings of physiological and psychological alterations to exercise responses including increased sympathetic activation, adaptive hemodynamic changes, increased alertness, and decreased fatigue. However, YHM use is not without risk as it has high interindividual variability in bioavailability, can be deceptively potent, lacks widely accepted dosing recommendations, and, when taken in large doses, has been empirically documented to result in serious side effects. Despite this, the evidence presented in this review suggests low doses of YHM are tolerable and may serve as an ideal exercise training aid due to acute enhancement of physical performance. However, safety concerns remain outstanding and temperance should be used when using YHM and similar sympathomimetics. Full article
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<p>Primary mechanism of action of Yohimbine (YHM) via α<sub>2</sub>-adrenergic receptor antagonism. YHM competes for norepinephrine (NE) binding sites on α<sub>2</sub>-adrenergic receptors, which serve as negative feedback regulators of NE release at the pre-synaptic neuron. Inhibition of a<sub>2</sub>-adrenergic receptor activation results in exacerbation of NE release and NE spillover. The phenomenon of NE spillover leads to the propagation of catecholamine release and sympathetic activation systemically. This influences multiple organ systems including the adrenal glands, heart, vasculature, skeletal muscle, and neural activity. Alterations in skeletal muscle performance, cardiovascular function, hemodynamics, and metrics linked to psychological arousal have been implicated as underlying effects mediating the ergogenic effects of YHM.</p>
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<p>Chemical structure of Yohimbine (YHM). Chemical formula: C<sub>21</sub>H<sub>26</sub>N<sub>2</sub>O<sub>3</sub>. Molecular weight: 354.4 g/mol. Classification: indole alkaloid.</p>
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<p>Physiological and psychological factors contributing to improved exercise ability with acute Yohimbine (YHM) ingestion. YHM HCl results in physiological and psychological alterations to mediators of performance. Physiological improvements that have been reported in the literature include greater oxygen uptake (VO2), catecholamine release, and metabolism, as reflected by hypoxanthine. Lower post-exercise lactate levels have also been reported by multiple studies. Psychologically, there have been reports of increased motivation, alertness, and feelings of energy with YHM ingestion. Subjective feelings of fatigue have also been suggested as an underlier to improved performance.</p>
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29 pages, 5051 KiB  
Article
Evolution of Bioclimatic Belts in Spain and the Balearic Islands (1953–2022)
by Christian Lorente, David Corell, María José Estrela, Juan Javier Miró and David Orgambides-García
Climate 2024, 12(12), 215; https://doi.org/10.3390/cli12120215 - 10 Dec 2024
Viewed by 378
Abstract
This study examines the spatio-temporal evolution of bioclimatic belts in peninsular Spain and the Balearic Islands from 1953 to 2022 using the World Bioclimatic Classification System and data from 3668 meteorological stations. Findings indicate a shift toward warmer and more arid conditions, with [...] Read more.
This study examines the spatio-temporal evolution of bioclimatic belts in peninsular Spain and the Balearic Islands from 1953 to 2022 using the World Bioclimatic Classification System and data from 3668 meteorological stations. Findings indicate a shift toward warmer and more arid conditions, with thermotypes showing an increase in mesomediterranean and thermomediterranean types and a decrease in mesotemperate and supratemperate types. Ombrotype analysis revealed a rise in semiarid types and a decline in humid and hyperhumid types. Significant changes occurred in climate transition zones and mountainous regions, where a process of “Mediterraneanisation”—a process characterised by the expansion of warmer and drier conditions typical of Mediterranean climates into previously temperate areas and/or an altitudinal rise in thermotypes—has been observed. The spatial variability of changes in ombrotypes was greater than that in thermotypes, with regions showing opposite trends to the general one. These results highlight the need for adaptive conservation strategies, particularly in mountainous and climate transition areas, where endemic species may face increased vulnerability due to habitat loss and fragmentation. The results of this study provide insight into how climate change is affecting bioclimatological conditions in the Iberian Peninsula and the Balearic Islands. Full article
(This article belongs to the Special Issue Climate Variability in the Mediterranean Region)
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<p>Elevation map of the study area. The main mountain systems and river courses are included, as are the locations of the meteorological stations used.</p>
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<p>Spatial distribution of thermotypes in the study area during Period 1 (<b>top</b>) and Period 2 (<b>centre</b>) as well as changes throughout the study period (<b>bottom</b>). Meanings of abbreviations: inframediterranean (<span class="html-italic">ime</span>), thermomediterranean (<span class="html-italic">tme</span>), mesomediterranean (<span class="html-italic">mme</span>), supramediterranean (<span class="html-italic">sme</span>), oromediterranean (<span class="html-italic">ome</span>), infratemperate (<span class="html-italic">ite</span>), thermotemperate (<span class="html-italic">tte</span>), mesotemperate (<span class="html-italic">mte</span>), supratemperate (<span class="html-italic">ste</span>),orotemperate (<span class="html-italic">ote</span>), Mediterranean (<span class="html-italic">Med</span>), and Temperate (<span class="html-italic">Tem</span>).</p>
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<p>Changes in thermotypes over the study period. The type of symbol indicates the thermotype of the station in Period 1, while its colour indicates the thermotype of the station in Period 2. Meanings of abbreviations: inframediterranean (<span class="html-italic">ime</span>), thermomediterranean (<span class="html-italic">tme</span>), mesomediterranean (<span class="html-italic">mme</span>), supramediterranean (<span class="html-italic">sme</span>), oromediterranean (<span class="html-italic">ome</span>), infratemperate (<span class="html-italic">ite</span>), thermotemperate (<span class="html-italic">tte</span>), mesotemperate (<span class="html-italic">mte</span>), supratemperate (<span class="html-italic">ste</span>), and orotemperate (<span class="html-italic">ote</span>).</p>
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<p>Changes in the percentage of stations occupied by thermotypes over the study period. Meanings of abbreviations: inframediterranean (<span class="html-italic">ime</span>), thermomediterranean (<span class="html-italic">tme</span>), mesomediterranean (<span class="html-italic">mme</span>), supramediterranean (<span class="html-italic">sme</span>), oromediterranean (<span class="html-italic">ome</span>), infratemperate (<span class="html-italic">ite</span>), thermotemperate (<span class="html-italic">tte</span>), mesotemperate (<span class="html-italic">mte</span>), supratemperate (<span class="html-italic">ste</span>), and orotemperate (<span class="html-italic">ote</span>).</p>
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<p>Spatial distribution of ombrotypes in the study area during Period 1 (<b>top</b>) and Period 2 (<b>centre</b>) as well as changes in their changes throughout the study period (<b>bottom</b>). Meanings of abbreviations: arid (<span class="html-italic">ar</span>), semiarid (<span class="html-italic">sa</span>), dry (<span class="html-italic">se</span>), subhumid (<span class="html-italic">su</span>), humid (<span class="html-italic">hu</span>), hyperhumid (<span class="html-italic">hh</span>), ultrahyperhumid (<span class="html-italic">uhu</span>).</p>
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<p>Changes in ombrotypes throughout the study period. The type of symbol indicates the thermotype of the station in Period 1, while its colour indicates the thermotype of the station in Period 2. Meanings of abbreviations: arid (<span class="html-italic">ar</span>), semiarid (<span class="html-italic">sa</span>), dry (<span class="html-italic">se</span>), subhumid (<span class="html-italic">su</span>), humid (<span class="html-italic">hu</span>), hyperhumid (<span class="html-italic">hh</span>), ultrahyperhumid (<span class="html-italic">uhu</span>).</p>
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<p>Distribution of the changes in the ombrotypes over the study period (1953–2022) according to the number of stations that have undergone such changes. Meanings of abbreviations: arid (<span class="html-italic">ar</span>), semiarid (<span class="html-italic">sa</span>), dry (<span class="html-italic">se</span>), subhumid (<span class="html-italic">su</span>), humid (<span class="html-italic">hu</span>), hyperhumid (<span class="html-italic">hh</span>), ultrahyperhumid (<span class="html-italic">uhu</span>).</p>
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<p>Changes in the percentage of stations occupied by ombrotypes over the study period. Meanings of abbreviations: arid (<span class="html-italic">ar</span>), semiarid (<span class="html-italic">sa</span>), dry (<span class="html-italic">se</span>), subhumid (<span class="html-italic">su</span>), humid (<span class="html-italic">hu</span>), hyperhumid (<span class="html-italic">hh</span>), ultrahyperhumid (<span class="html-italic">uhu</span>).</p>
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13 pages, 1872 KiB  
Article
A Comparative Study on the Wear Resistance of CrNiMo Cast Steels Under Dynamic Load and Ring Block Conditions
by Chaoyong Li, Yi Li, Mingli Wang, Pengxiao Zhu, Cai Tang, Xu Yang, Jinyong Zhang and Yulong Qi
Metals 2024, 14(12), 1409; https://doi.org/10.3390/met14121409 - 9 Dec 2024
Viewed by 397
Abstract
Low-alloy CrNiMo cast steels are often used in the caterpillar boards of excavators in mining engineering machinery due to their good mechanical properties and low cost. Three CrNiMo cast steels with different carbon contents (0.20%, 0.29%, and 0.35% by weight) were developed in [...] Read more.
Low-alloy CrNiMo cast steels are often used in the caterpillar boards of excavators in mining engineering machinery due to their good mechanical properties and low cost. Three CrNiMo cast steels with different carbon contents (0.20%, 0.29%, and 0.35% by weight) were developed in this work. The mechanical properties of ingots of these cast steels can be optimized by heat-treated quenching and tempering (QT) and surface induction hardening (QTIH). The wear behavior of QT and QTIH specimens was evaluated under dynamic load and ring block conditions. The results show that the QT specimens exhibit a good mechanical performance and wear resistance. Compared to the QT specimens, the wear resistance can be further improved by QTIH treatment. The wear weight loss of QTIH specimens decreased by 42.7% and 73.2% under dynamic load and ring block wear tests, respectively. Additionally, the strength increased while plasticity and toughness decreased with increasing carbon content. Notably, when the carbon content is 0.29%, the CrNiMo cast steel exhibits an excellent combination of strength, ductility, and wear resistance. Full article
(This article belongs to the Section Metal Casting, Forming and Heat Treatment)
22 pages, 2067 KiB  
Review
Synthesis and Perspectives on Disturbance Interactions, and Forest Fire Risk and Fire Severity in Central Europe
by Leonardos Leonardos, Anne Gnilke, Tanja G. M. Sanders, Christopher Shatto, Catrin Stadelmann, Carl Beierkuhnlein and Anke Jentsch
Fire 2024, 7(12), 470; https://doi.org/10.3390/fire7120470 - 9 Dec 2024
Viewed by 538
Abstract
Wildfire risk increases following non-fire disturbance events, but this relationship is not always linear or cumulative, and previous studies are not consistent in differentiating between disturbance loops versus cascades. Previous research on disturbance interactions and their influence on forest fires has primarily focused [...] Read more.
Wildfire risk increases following non-fire disturbance events, but this relationship is not always linear or cumulative, and previous studies are not consistent in differentiating between disturbance loops versus cascades. Previous research on disturbance interactions and their influence on forest fires has primarily focused on fire-prone regions, such as North America, Australia, and Southern Europe. In contrast, less is known about these dynamics in Central Europe, where wildfire risk and hazard are increasing. In recent years, forest disturbances, particularly windthrow, insect outbreaks, and drought, have become more frequent in Central Europe. At the same time, climate change is influencing fire weather conditions that further intensify forest fire dynamics. Here, we synthesize findings from the recent literature on disturbance interactions in Central Europe with the aim to identify disturbance-driven processes that influence the regional fire regime. We propose a conceptual framework of interacting disturbances that can be used in wildfire risk assessments and beyond. In addition, we identify knowledge gaps and make suggestions for future research regarding disturbance interactions and their implications for wildfire activity. Our findings indicate that fire risk in the temperate forests of Central Europe is increasing and that non-fire disturbances and their interactions modify fuel properties that subsequently influence wildfire dynamics in multiple ways. Full article
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<p>Geographic extent of the ‘Central European Mixed Forests’ and ‘Western European Broadleaf Forests’ ecoregions, and the respective burned forest area of each country for the period between 2000 and 2023. Figure was created using the ‘leafletR’ package (v. 0.4-0) [<a href="#B110-fire-07-00470" class="html-bibr">110</a>] in R (v. 4.4.1) [<a href="#B111-fire-07-00470" class="html-bibr">111</a>]. Data on the burned area were retrieved from the European Forest Fire Information System (EFFIS) (Available at: <a href="https://forest-fire.emergency.copernicus.eu/applications/data-and-services" target="_blank">https://forest-fire.emergency.copernicus.eu/applications/data-and-services</a>, accessed on 13 October 2024).</p>
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<p>(<b>a</b>) Summary and conceptual framework of disturbance interactions and their influence on fuel and fire properties in Central Europe. Lines with arrows indicate a generally positive interaction from one disturbance to the other. Dotted lines with arrows indicate a weak positive interaction between disturbances. Lines with no arrows indicate a mixed (both positive and negative) interaction. Disturbance interactions fall under the influence of fire weather, which in turn is affected by climate change. The black line and arrow indicate the positive interaction of both biotic disturbances on fuel load. Since no quantitative analysis was performed, circle size does not correspond to the influence of one disturbance agent on another; text and circle sizes, colours, lines, and arrows have been optimized purely for visualization purposes. (<b>b</b>) Mixed or unclear disturbance interactions in Central Europe that form research gaps. Circle size does not correspond to the potential influence of one disturbance agent on another; text and circle sizes, colours, lines, and arrows have been optimized purely for visualization purposes. Figures were generated using ‘Miro’ (Available at: <a href="http://www.miro.com/app" target="_blank">www.miro.com/app</a>, accessed on 4 December 2024).</p>
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<p>(<b>a</b>) Summary and conceptual framework of disturbance interactions and their influence on fuel and fire properties in Central Europe. Lines with arrows indicate a generally positive interaction from one disturbance to the other. Dotted lines with arrows indicate a weak positive interaction between disturbances. Lines with no arrows indicate a mixed (both positive and negative) interaction. Disturbance interactions fall under the influence of fire weather, which in turn is affected by climate change. The black line and arrow indicate the positive interaction of both biotic disturbances on fuel load. Since no quantitative analysis was performed, circle size does not correspond to the influence of one disturbance agent on another; text and circle sizes, colours, lines, and arrows have been optimized purely for visualization purposes. (<b>b</b>) Mixed or unclear disturbance interactions in Central Europe that form research gaps. Circle size does not correspond to the potential influence of one disturbance agent on another; text and circle sizes, colours, lines, and arrows have been optimized purely for visualization purposes. Figures were generated using ‘Miro’ (Available at: <a href="http://www.miro.com/app" target="_blank">www.miro.com/app</a>, accessed on 4 December 2024).</p>
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28 pages, 4445 KiB  
Review
Invasion History and Dispersion Dynamics of the Mediterranean Fruit Fly in the Balkan Peninsula
by Mario Bjeliš, Vasilis G. Rodovitis, Darija Lemic, Pantelis Kaniouras, Pavao Gančević and Nikos T. Papadopoulos
Insects 2024, 15(12), 975; https://doi.org/10.3390/insects15120975 - 9 Dec 2024
Viewed by 467
Abstract
The Mediterranean fruit fly (medfly), Ceratitis capitata (Wiedemann 1824; Diptera, Tephritidae), is considered one of the most important pests, infesting more than 300 species of fresh fruit and vegetables worldwide. The medfly is an important invasive species, which has spread from the eastern [...] Read more.
The Mediterranean fruit fly (medfly), Ceratitis capitata (Wiedemann 1824; Diptera, Tephritidae), is considered one of the most important pests, infesting more than 300 species of fresh fruit and vegetables worldwide. The medfly is an important invasive species, which has spread from the eastern part of sub-Saharan Africa to all of the world’s continents in recent centuries. Currently, the medfly is expanding its geographical range to cooler, temperate areas of the world, including northern areas of Mediterranean countries and continental areas of Central Europe. We collected and analysed all the available information, including in historical records, on the phenology of the medfly in the Balkan Peninsula, to map and understand the path of invasion and spread dynamics on the northern Mediterranean coast and in Central Europe. The medfly was first recorded in the Balkan Peninsula in 1915, in the Aegean area on the island of Aigina, followed by a few records on its presence in the Peloponnese in the early 1930s and throughout the Adriatic coastal area in the 1950s; it was first detected on the Croatian coast in 1947. By 2010, the medfly had been detected along the entire Ionian coast, while the first record of its presence on the Balkan coast of the Black Sea was made in 2005. Since 2000 to date, there has been a significant increase in the frequency of medfly detections in the interior of the Balkan Peninsula, including occasional detections in areas with unfavourable climatic conditions for overwintering, which seems to be favourable for reproduction during the summer and lead to significant infestation of late ripening fruits (late summer and autumn). In the last 20 years, the medfly has spread to more northerly areas (43 to 45 degrees latitude) and has been detected at higher altitudes (>200 to 600 m). Along the Balkan Peninsula, the infestation of fruits from 25 host plant species, from 14 genera and 10 plant families, has been reported. Considering the extremely high invasiveness of the medfly and its wide distribution in several Balkan regions with different climatic conditions, we can assume that it is adapting to new climatic conditions and infesting new host plants. Full article
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<p>The Balkan Peninsula, which is made up of numerous countries on the European continent (Albania, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Greece, Montenegro, North Macedonia, Romania, Serbia, and Slovenia).</p>
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<p>Seasonal medfly host availability (ripening season) in terms of the confirmed fruits in selected characteristic locations along the area of the Balkan Peninsula. Compiled from [<a href="#B3-insects-15-00975" class="html-bibr">3</a>,<a href="#B22-insects-15-00975" class="html-bibr">22</a>,<a href="#B53-insects-15-00975" class="html-bibr">53</a>,<a href="#B56-insects-15-00975" class="html-bibr">56</a>,<a href="#B57-insects-15-00975" class="html-bibr">57</a>,<a href="#B58-insects-15-00975" class="html-bibr">58</a>,<a href="#B59-insects-15-00975" class="html-bibr">59</a>,<a href="#B61-insects-15-00975" class="html-bibr">61</a>,<a href="#B64-insects-15-00975" class="html-bibr">64</a>,<a href="#B67-insects-15-00975" class="html-bibr">67</a>,<a href="#B71-insects-15-00975" class="html-bibr">71</a>,<a href="#B72-insects-15-00975" class="html-bibr">72</a>,<a href="#B73-insects-15-00975" class="html-bibr">73</a>,<a href="#B74-insects-15-00975" class="html-bibr">74</a>,<a href="#B75-insects-15-00975" class="html-bibr">75</a>,<a href="#B77-insects-15-00975" class="html-bibr">77</a>,<a href="#B80-insects-15-00975" class="html-bibr">80</a>].</p>
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<p>Historical detections of medfly in the Balkan Peninsula.</p>
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<p>Current distribution of established and transient medfly populations in the Balkan Peninsula, considering the legal status of the pest.</p>
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<p>Seasonal medfly flight period in established areas.</p>
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<p>Seasonal medfly flight period in selected inland locations in invaded areas.</p>
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<p>Medfly invasion history and relationship between elevation and year of capture in different countries. (Dots represent detection events over time; the trendline is represented with a loess smoothing line).</p>
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42 pages, 10640 KiB  
Article
A Model of Southern Sikhote-Alin Liverwort Flora and a New Approach to Analyze the Altitudinal Distribution Patterns in the Zov Tigra National Park (South of the Russian Far East, Temperate Pacific Asia)
by Ksenia G. Klimova, Vadim A. Bakalin, Daniil A. Bakalin and Seung Se Choi
Diversity 2024, 16(12), 752; https://doi.org/10.3390/d16120752 - 8 Dec 2024
Viewed by 443
Abstract
The liverwort flora in Zov Tigra National Park in southern Sikhote-Alin (Primorye Territory, south of the Russian Far East), which has one of the richest regional floras, was studied to assess its taxonomic diversity, and analyzed using a new approach to determine altitudinal [...] Read more.
The liverwort flora in Zov Tigra National Park in southern Sikhote-Alin (Primorye Territory, south of the Russian Far East), which has one of the richest regional floras, was studied to assess its taxonomic diversity, and analyzed using a new approach to determine altitudinal distribution patterns. This new approach is based on probabilistic models of the altitudinal distribution of individual taxa proposed for identifying altitudinal groups of species. This method can be used to analyze patterns of the distribution of species of various taxonomic groups in cases where a sufficiently representative dataset is available and may be especially relevant in regions where altitudinal zonation is not obvious or changes in the altitudinal fractions of the dominant vegetation are too continuous. The proposed method revealed three altitudinal groups that were more clearly differentiated than groups of taxa based on altitudinal vegetation belts. Based on the obtained results, the most important bioclimatic indices correlated with the altitudinal distribution of liverworts were identified: annual mean temperature (BIO1), annual precipitation (BIO12), isothermality (BIO3), and factors associated with the temperature and amount of precipitation during the warmest period of the year, including the maximum temperature of the warmest month (BIO5), the mean temperature of the wettest quarter (BIO8), the mean temperature of the warmest quarter (BIO10), precipitation during the wettest month (BIO13), precipitation during the wettest quarter (BIO16), and precipitation during the warmest quarter (BIO18). This study reports 130 species, 1 variety, and 1 subspecies. Pseudolophozia debiliformis and Scapania praetervisa are newly recorded for Sikhote-Alin and the Primorye Territory. Diplophyllum albicans and Cephaloziella rubella are newly reported for the Primorye Territory. The national park liverwort flora can be classified as boreal–temperate circumpolar–East Asian. Given the high taxonomic diversity and coverage of all altitudinal zones represented in the region, the liverwort flora in Zov Tigra National Park can serve as a model for all liverwort floras in southern Sikhote-Alin. Full article
(This article belongs to the Section Plant Diversity)
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<p>The collection areas in Zov Tigra National Park, named in accordance with the list of collection localities in the text (the colors for the collection localities correspond to the colors of the collection areas) [<a href="#B3-diversity-16-00752" class="html-bibr">3</a>].</p>
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<p>Oblachnaya Mt.: (<b>A</b>)—view of the main top area: dwarf shrub–forb communities and dwarf <span class="html-italic">Pinus pumila</span> clumps are in the foreground, ca. 1700 m a.s.l.; (<b>B</b>)—N-facing slope of the main top area: <span class="html-italic">Betula lanata</span> belt turning into the <span class="html-italic">P. pumila</span> belt in the background, 1600–1700 m a.s.l.; (<b>C</b>)—area near the top, N-facing slope, lichen–dwarf shrub tundra with <span class="html-italic">Bergenia pacifica</span> and dwarf <span class="html-italic">P. pumila</span> clumps, 1839 m a.s.l.; (<b>D</b>)—area near the top: dwarf shrub-lichen tundra and dwarf <span class="html-italic">P. pumila</span> clumps, 1839 m a.s.l.; (<b>E</b>)—saddle in front of the main top area: rock fields intermingled with <span class="html-italic">Pinus pumila</span> thickets, spots of dwarf shrub–lichen tundra with <span class="html-italic">B. pacifica</span>, ca. 1700 m a.s.l.; (<b>F</b>)—view of the main top area of Snezhnaya Mt., ca. 1450 m a.s.l.; (<b>G</b>)—view of the Sestra Mt. from Kamen’ Brat Mt. (from the southeast): timberline formed of “dark-green” <span class="html-italic">Picea ajanensis</span> forests turning into “bright-green” <span class="html-italic">B. lanata</span> forests that turn into <span class="html-italic">P. pumila</span> thickets and rock fields near the mountain tops; (<b>H</b>)—N-facing slope of Sestra Mt.: area near the top, dwarf shrub (<span class="html-italic">Arctous alpina</span>, <span class="html-italic">Vaccinium uliginosum</span> subsp. <span class="html-italic">alpinum,</span> and <span class="html-italic">Ledum decumbens</span>) with a lichen and forb tundra with spots of rock fields and dwarf <span class="html-italic">P. pumila</span> clumps, ca. 1650 m a.s.l. (Photos (<b>A</b>–<b>E</b>), (<b>H</b>) by K.G. Klimova; (<b>G</b>) by V.V. Zatolokin, 2017).</p>
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<p>Map with the imaginary straight line between the peaks of Sestra Mt. and Oblachnaya Mt., in accordance with the table in <a href="#app1-diversity-16-00752" class="html-app">Supplementary Material S2</a>. The points are located at 1 km intervals.</p>
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<p>Variations in the elevation, annual temperature (BIO1), mean temperature of the warmest quarter (BIO10), annual precipitation (BIO12), and precipitation of warmest quarter (BIO18) in the localities on the imaginary straight line between the peaks of Sestra Mt. and Oblachnaya Mt., in accordance with the table in <a href="#app1-diversity-16-00752" class="html-app">Supplementary Material S2</a>. All values of bioclimatic indices are normalized as varying from 0 to 1.</p>
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<p>Graphical representation of the subset of localities where <span class="html-italic">Anastrophyllum michauxii</span> (F. Weber) H. Buch. was found.</p>
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<p>The approximating curve of the probability density for the experimental occurrence data of <span class="html-italic">Anastrophyllum michauxii</span> (F. Weber) H. Buch.</p>
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<p>The approximating curve of the probability density for the experimental occurrence data of <span class="html-italic">Asterella leptophylla</span> (Mont.) Grolle—the lower limit is not realised.</p>
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<p>The approximating curve of the probability density for the experimental occurrence data of <span class="html-italic">Douinia plicata</span> (Lindb.) Konstant. et Vilnet—the upper limit is not realized.</p>
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<p>The approximating curve of the probability density for the experimental occurrence data of <span class="html-italic">Gymnomitrion parvitextum</span> (Steph.) Mamontov, Konstant. et Potemkin—the upper limit is not realized.</p>
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<p>The distribution of elevation intervals between the findings for each species.</p>
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<p>The ratio of the number of occurrences of <span class="html-italic">Aneura pinguis</span> (L.) Dumort. to the number of collection localities.</p>
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<p>The ratio of the number of occurrences of <span class="html-italic">Gymnomitrion parvitextum</span> (Steph.) Mamontov, Konstant. et Potemkin to the number of localities where the research was conducted.</p>
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<p>The ratio of the number of occurrences of <span class="html-italic">Lepidozia reptans</span> (L.) Dumort. to the number of localities where the research was conducted.</p>
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<p>The ratio of the number of occurrences of <span class="html-italic">Asterella leptophylla</span> (Mont.) Grolle to the number of localities where the research was conducted.</p>
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<p>Distribution of mean (<span class="html-italic">μ</span>) and standard deviation (<span class="html-italic">σ</span>) parameters for for all 124 analyzed taxa (1–124; for the legend, see in the table in <a href="#app1-diversity-16-00752" class="html-app">Supplementary Material S6</a>). The color indicates the number of localities where the species was found.</p>
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<p>Distribution histogram of the mean (<span class="html-italic">μ</span>) values for all analyzed taxa. (<b>A</b>)—the Group A, the lower belt; (<b>B</b>)—the Group B, the middle belt; (<b>C</b>)—the Group C, the upper belt.</p>
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<p>Confidence interval values for altitudinal groups, depending on the confidence level (from 70% to 99%) for BIO01.</p>
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<p>Confidence interval values for altitudinal groups, depending on the confidence level (from 70% to 99%) for BIO04.</p>
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<p>Confidence intervals for all bioclimatic indices with a 95%confidence level. Blue rectangles—upper altitudinal group; green—middle group; yellow—lower group.</p>
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15 pages, 7850 KiB  
Article
Precipitation and Age-Hardening in Fe-25Co-15Mo Carbon-Free High-Speed Steel via Hot Isostatic Pressing
by Shiteng Lu, Xueyuan Ge, Qipeng Hu, Lei Gao, Yuan Meng, Ya Kuang and Lei Lu
Metals 2024, 14(12), 1400; https://doi.org/10.3390/met14121400 - 6 Dec 2024
Viewed by 609
Abstract
High resistance to tempering and extended service life are pivotal research directions for cutting tools utilized in the machining of industrial machine tool. The design of alloys and their manufacturing processes have become methods for the development of cutting tool materials. Carbon-free Fe-Co-Mo [...] Read more.
High resistance to tempering and extended service life are pivotal research directions for cutting tools utilized in the machining of industrial machine tool. The design of alloys and their manufacturing processes have become methods for the development of cutting tool materials. Carbon-free Fe-Co-Mo steel (FCM) has garnered attention due to its excellent magnetic properties and high-temperature performance, as well as its superior thermal conductivity, making it an ideal choice for applications in high-temperature and high-pressure environments. The µ-phase within this alloy exhibits exceptional high-temperature stability and resistance to aggregation. Its characteristics suggest that it has the potential to replace carbide reinforcement phases, which are prone to coarsening, in high-temperature applications of powder high-speed steel. This application of the µ-phase could lead to an enhancement in the resistance to tempering and the service life of powder metallurgy high-speed steel cutting tools. However, there is a relative scarcity of published research regarding the preparation of carbon-free high-speed steel via hot isostatic pressing (HIP) technology and the subsequent heat treatment processes. In this study, Fe-Co-Mo alloys reinforced with the intermetallic compound µ-phase were prepared at hot isostatic pressing sintering temperatures of 1200 °C, 1250 °C, and 1350 °C. Furthermore, to investigate the influence of the solid-solution treatment temperature on the microstructure and macroscopic properties of the alloy, the as-prepared materials were subjected to solution annealing treatment at different temperatures (1120 °C, 1150 °C, 1180 °C, and 1210 °C). The results demonstrate that by moderately reducing the sintering temperature, the segregation phenomenon of the reinforcing µ-phase was significantly reduced, leading to an optimization of the microstructural uniformity of the prepared sample, with the micro-scale µ-phase being uniformly dispersed within the α-Fe matrix. As the temperature of the solid-solution annealing increased, the microstructural uniformity was further enhanced, accompanied by a reduction in the quantity of the reinforcing phase and refinement of the grain size. Notably, after solid-solution annealing at 1180 °C, the hardness of the samples reached a peak value of 500.4 HV, attributed to the decrease in the reinforcing phase and grain refinement during the annealing process. Aging treatment at 600 °C for 3 h facilitated the uniform precipitation of the nano-scale µ-phase, resulting in a significant increase in sample hardness to approximately 900 HV. The prepared material exhibited excellent resistance to tempering, indicating its potential for application in high-temperature service environments. Full article
(This article belongs to the Section Powder Metallurgy)
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<p>Flowchart of Fe-Co-Mo sample preparation process.</p>
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<p>Experimental curves of hot isostatic pressing and heat treatment of Fe-Co-Mo alloy.</p>
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<p>Computational phase diagram of Fe-Co-Mo alloys.</p>
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<p>Microstructure of Fe-Co-Mo alloys at different sintering temperatures: (<b>a</b>,<b>d</b>) HIP1200 °C; (<b>b</b>,<b>e</b>) HIP1250 °C; (<b>c</b>,<b>f</b>) HIP1350 °C.</p>
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<p>Fe-Co-Mo alloys at HIP 1200 °C EDS elemental analysis diagram: (<b>a</b>) microstructure of Fe-Co-Mo alloys; (<b>b</b>–<b>d</b>) EDS surface scan; (<b>e</b>,<b>f</b>) EDS point scan; (<b>g</b>) EDS line scan.</p>
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<p>Microstructure of Fe-Co-Mo alloys annealed at 900 °C under hot isostatic pressure at 1200 °C.</p>
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<p>Microstructure of Fe-Co-Mo alloy after solution annealing treatments for samples sintered at 1200 °C for 3.5 h: (<b>a</b>,<b>e</b>) 1120 °C; (<b>b</b>,<b>f</b>) 1150 °C; (<b>c</b>,<b>g</b>) 1180 °C; (<b>d</b>,<b>h</b>) 1210 °C.</p>
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<p>Microstructure of Fe-Co-Mo alloy after precipitation hardening treatments for samples sintered at 1200 °C for 3.5 h: (<b>a</b>,<b>e</b>) 1120 °C; (<b>b</b>,<b>f</b>) 1150 °C; (<b>c</b>,<b>g</b>) 1180 °C; (<b>d</b>,<b>h</b>) 1210 °C.</p>
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<p>Grain size at different heat treatment stages of Fe-Co-Mo alloys.</p>
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<p>XRD spectrums of Fe-Co-Mo alloys sintered at 1200 °C for 3.5 h.</p>
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<p>Vickers hardness of Fe-Co-Mo alloys after different solid solution treatments.</p>
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<p>Vickers hardness of Fe-Co-Mo alloys after precipitation hardening treatment.</p>
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<p>TEM analysis of µ-phase in Fe-Co-Mo alloy in different states. (<b>a</b>) Solution annealing. (<b>b</b>) Precipitation hardening.</p>
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<p>Resistance to tempering of Fe-Co-Mo alloys at different precipitation hardening times.</p>
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18 pages, 8923 KiB  
Article
Survival Risk Analysis for Four Endemic Ungulates on Grasslands of the Tibetan Plateau Based on the Grazing Pressure Index
by Lingyan Yan, Lingqiao Kong, Zhiyun Ouyang, Jinming Hu and Li Zhang
Remote Sens. 2024, 16(23), 4589; https://doi.org/10.3390/rs16234589 - 6 Dec 2024
Viewed by 238
Abstract
Ungulates are essential for maintaining the health of grassland ecosystems on the Tibetan plateau. Increased livestock grazing has caused competition for food resources, threatening ungulates’ survival. The survival risk of food resources for ungulates can be quantified by the grazing pressure index, which [...] Read more.
Ungulates are essential for maintaining the health of grassland ecosystems on the Tibetan plateau. Increased livestock grazing has caused competition for food resources, threatening ungulates’ survival. The survival risk of food resources for ungulates can be quantified by the grazing pressure index, which requires accurate grassland carrying capacity. Previous research on the grazing pressure index has rarely taken into account the influence of wild ungulates, mainly due to the lack of precise spatial data on their quantity. In this study, we conducted field investigations to construct high-resolution spatial distributions for the four endemic ungulates on the Tibetan plateau. By factoring in the grazing consumption of these ungulates, we recalculated the grassland carrying capacity to obtain the grazing pressure index, which allowed us to assess the survival risks for each species. The results show: (1) Quantity estimates for Tibetan antelope (Pantholops hodgsonii), Tibetan wild donkey (Equus kiang), Tibetan gazelle (Procapra picticaudata), and wild yak (Bos mutus) of the Tibetan plateau are 24.57 × 104, 17.93 × 104, 7.16 × 104, and 1.88 × 104, respectively; they mainly distributed in the northern and western regions of the Tibetan plateau. (2) The grassland carrying capacity of the Tibetan plateau is 69.98 million sheep units, with ungulate grazing accounting for 5% of forage utilization. Alpine meadow and alpine steppe exhibit the highest grassland carrying capacity. (3) The grazing pressure index on the Tibetan plateau grasslands is 2.23, indicating a heightened grazing pressure in the southern and eastern regions. (4) The habitat survival risk analysis indicates that the high survival risk (the grazing pressure index exceeds 1.2) areas for the four ungulate species account for the following proportions of their total habitat areas: Tibetan wild donkeys (49.76%), Tibetan gazelles (47.00%), Tibetan antelopes (40.76%), and wild yaks (34.83%). These high-risk areas are primarily located within alpine meadow and temperate desert steppe. This study provides a quantitative assessment of survival risks for these four ungulate species on the Tibetan plateau grasslands and serves as a valuable reference for ungulate conservation and grassland ecosystem management. Full article
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<p>Spatial location of the TP.</p>
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<p>Line transects of the field investigation (<b>a</b>) and occurrences (<b>b</b>) of the four ungulates on the TP from 2018 to 2023.</p>
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<p>Quantities of the four endemic ungulates and the rates of ungulate’s habitats in nature reserves on the TP.</p>
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<p>Spatial distribution of the four ungulates on the TP. The four ungulates are converted to a standard SU.</p>
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<p>The contribution of grassland ecosystems and other ecosystems to the habitat area of the four ungulate on the TP. AD: Alpine desert steppe; AS: Alpine steppe; AM: Alpine meadow; OG: includes temperate typical steppe, temperate desert steppe, tussock, and Temperate meadow steppe; OE: other ecosystems.</p>
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<p>GCC and forage consumption by the four ungulates in the TP in 2020. (<b>a</b>) The forage consumption by the four ungulates in a year (kg); (<b>b</b>) GCC is the grassland carrying capacity.</p>
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<p>Spatial pattern of the GPI on the TP.</p>
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<p>Spatial patterns of grazing pressure for the four ungulates in their habitats of the TP. (<b>a</b>) GPI of Tibetan antelope on the TP; (<b>b</b>) GPI of Tibetan wild donkey on the TP; (<b>c</b>) GPI of Tibetan gazelle on the TP; (<b>d</b>) GPI of wild yak on the TP.</p>
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<p>Contributions of the four ungulates to grazing pressure in their habitats (<b>a</b>) and in high-density regions (<b>b</b>) on the TP.</p>
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<p>Spatial pattern of grazing pressure for the four ungulates in the high-density regions on the TP. (<b>a</b>) GPI of Tibetan antelope in the high-density regions on the TP; (<b>b</b>) GPI of Tibetan wild donkey in the high-density regions on the TP; (<b>c</b>) GPI of Tibetan gazelle in the high-density regions on the TP; (<b>d</b>) GPI of wild yak in the high-density regions on the TP.</p>
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<p>Contributions of grasslands to grazing pressure for the four ungulates. AD: Alpine desert steppe; AS: Alpine steppe; AM: Alpine meadow; TT: Temperate typical steppe; TD: Temperate desert steppe; TM: Temperate meadow steppe. The tussock is only inhabited by the Tibetan antelope, and the quantity is rare; therefore, it was not included in the analysis. (<b>a</b>) Contributions of difference GPI of Tibetan wild donkey on different types of grassland; (<b>b</b>) Contributions of difference GPI of Tibetan gazelle on different types of grassland; (<b>c</b>) Contributions of difference GPI of wild yak on different types of grassland; (<b>d</b>) Contributions of difference GPI of Tibetan antelope on different types of grassland.</p>
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21 pages, 963 KiB  
Review
The Influence of Abiotic Factors on the Distribution of Macrophytes in Small Water Bodies in Temperate Ecosystems
by Isabel Navarro Law, Isabelle Durance, Rachel Benstead, Michael E. Fryer and Colin D. Brown
Limnol. Rev. 2024, 24(4), 616-636; https://doi.org/10.3390/limnolrev24040036 - 6 Dec 2024
Viewed by 406
Abstract
Currently, reviews focusing on the distribution of macrophytes focus primarily on large water bodies, regardless of the fact that small water bodies (SWBs), such as ponds, ditches and streams, often support higher levels of gamma macrophyte richness. This review investigates the direction and [...] Read more.
Currently, reviews focusing on the distribution of macrophytes focus primarily on large water bodies, regardless of the fact that small water bodies (SWBs), such as ponds, ditches and streams, often support higher levels of gamma macrophyte richness. This review investigates the direction and strength of the relationship between 13 abiotic factors and macrophyte distribution in SWBs. Results demonstrate that there are distinct differences between the effects of abiotic factors on bryophytes and those on vascular macrophytes of different morphological forms. Whilst shading and velocity have a significant (p < 0.05) negative relationship with vascular macrophyte richness and a positive relationship with bryophyte richness, the reverse is true for the size of a water body, depth and concentration of nitrogen. Vascular macrophyte richness has a significant (p < 0.05) negative relationship with distance to a stream source, isolation, the proportion of surrounding land that is woodland, total phosphorus concentrations and pH. The strength of the influence of substrate size and water body size differs between vascular macrophyte morphologies. Key knowledge gaps include bryophyte distribution and the effect of hydroperiod and surrounding land use on macrophyte communities. In order to conserve all macrophyte morphologies and taxa, it is important to protect SWBs with a diverse set of conditions. Full article
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<p>Red dots indicate the sampling locations of the studies used throughout this review.</p>
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<p>Macrophyte gamma species richness of ditches, streams and ponds reported by four studies (see text for detail) [<a href="#B15-limnolrev-24-00036" class="html-bibr">15</a>,<a href="#B24-limnolrev-24-00036" class="html-bibr">24</a>,<a href="#B25-limnolrev-24-00036" class="html-bibr">25</a>,<a href="#B26-limnolrev-24-00036" class="html-bibr">26</a>]. The average species richness is provided, whilst bars for Williams et al. study from 2020 [<a href="#B15-limnolrev-24-00036" class="html-bibr">15</a>] show the range of annual species richness recorded over eight years of study.</p>
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