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23 pages, 8860 KiB  
Article
Oxygen and Sulfur Isotope Systematics of Dissolved Sulfate in a Nonvolcanic Geothermal System: Sulfate Source, Evolution and Impact on Geothermometers
by Yinlei Hao, Zhonghe Pang, Qinghua Gong, Nianqing Li, Dawei Liao and Zhengyu Luo
Water 2025, 17(6), 788; https://doi.org/10.3390/w17060788 (registering DOI) - 9 Mar 2025
Abstract
Dual isotopes of sulfate (δ34SSO4 and δ18OSO4), along with isotopes in water and trace elements of geothermal waters, are systematically investigated to quantitatively elucidate sulfate sources and oxygen and sulfur isotopic behaviors during deep [...] Read more.
Dual isotopes of sulfate (δ34SSO4 and δ18OSO4), along with isotopes in water and trace elements of geothermal waters, are systematically investigated to quantitatively elucidate sulfate sources and oxygen and sulfur isotopic behaviors during deep groundwater circulation and to constrain reservoir temperatures in the Jimo nonvolcanic geothermal system on the eastern coast of China. The results show that δ34SSO4 and δ18OSO4 values in geothermal waters ranged from −21.0 to 5.7‰ and from 1.1 to 8.8‰, respectively. An increase in SO4 concentrations (140–796 mg/L) with a systematic decrease in δ34SSO4 and δ18OSO4 values was observed along the flow path from the central to eastern and western parts. The sulfate in the Middle Group was predominantly from atmospheric deposition, with sulfide oxidation contributions of <27%. In contrast, 80–85% of SO4 in the Eastern Group is derived from pyrite oxidation. In the Western Group, the oxidation of multiple metal sulfides contributed 43–66% of SO4. Sulfate oxidation and mixing of shallow groundwater caused reservoir temperatures to be underestimated by 9 ± 6–14 ± 16% using silica and K-Mg geothermometers but overestimated by up to 52–62% using sulfate–water oxygen isotope geothermometers. The estimated average target reservoir temperature was 144 ± 8 °C, with geothermal waters circulating to depths of 3.6–4.6 km. This study offers new insights into the significant impact of sulfate-related processes on geothermometric estimates, a factor often overlooked when using aqueous geothermometers. It also provides valuable guidance for accurately estimating target geothermal reservoir temperatures and advancing exploration in nonvolcanic geothermal systems. Full article
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Figure 1
<p>(<b>a</b>) The tectonic location of the Jimo geothermal system; major tectonic units in China, modified from [<a href="#B46-water-17-00788" class="html-bibr">46</a>]. (<b>b</b>) Lithologies and tectonics of the study area and sampling sites of shallow groundwater and seawater [<a href="#B23-water-17-00788" class="html-bibr">23</a>,<a href="#B43-water-17-00788" class="html-bibr">43</a>]. (<b>c</b>) Sampling locations of geothermal water.</p>
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<p>Spatial patterns of the wellhead temperature (T°C) (<b>a</b>), TDS (mg/L) (<b>b</b>), pH (<b>c</b>) and Eh (mV) for geothermal water (<b>d</b>).</p>
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<p>Comparison of δ<sup>34</sup>S values for sulfate (red line) in Jimo geothermal water with those of sulfides and sulfate in various geologic reservoirs. The δ<sup>34</sup>S values for sulfides of igneous rocks and modern and ancient sediments, and sulfate of ancient marine evaporites are shown as gray lines [<a href="#B29-water-17-00788" class="html-bibr">29</a>,<a href="#B30-water-17-00788" class="html-bibr">30</a>,<a href="#B51-water-17-00788" class="html-bibr">51</a>,<a href="#B53-water-17-00788" class="html-bibr">53</a>,<a href="#B54-water-17-00788" class="html-bibr">54</a>]. The black lines indicate previously reported δ<sup>34</sup>S values for dissolved sulfate in volcanic geothermal water worldwide [<a href="#B25-water-17-00788" class="html-bibr">25</a>,<a href="#B50-water-17-00788" class="html-bibr">50</a>,<a href="#B55-water-17-00788" class="html-bibr">55</a>,<a href="#B56-water-17-00788" class="html-bibr">56</a>] and nonvolcanic geothermal water in east China [<a href="#B2-water-17-00788" class="html-bibr">2</a>,<a href="#B26-water-17-00788" class="html-bibr">26</a>]. The star symbol represents the δ<sup>34</sup>S value for dissolved sulfate in modern seawater.</p>
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<p>Hydrochemical characteristics and distribution of geothermal water in the Jimo Basin, including (<b>a</b>) pH and Eh; (<b>b</b>) total trace element and SO<sub>4</sub><sup>2−</sup> concentrations; and (<b>c</b>) Sr/Cl, Si/Cl, Al/Cl, Ca/Cl, Mg/Cl and SO<sub>4</sub>/Cl molar ratios.</p>
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<p>(<b>a</b>) Plot of δ<sup>34</sup>S<sub>SO<sub>4</sub></sub> vs. δ<sup>18</sup>O<sub>SO<sub>4</sub></sub> for sulfate in Jimo geothermal waters, shallow groundwater and seawater. Endmembers of atmospheric deposition, soil, seawater, evaporites and oxidation of reduced inorganic sulfur compounds are shown for reference [<a href="#B28-water-17-00788" class="html-bibr">28</a>,<a href="#B51-water-17-00788" class="html-bibr">51</a>,<a href="#B52-water-17-00788" class="html-bibr">52</a>]. Secondary processes include (1) bacterial sulfate reduction (BSR) and (2) oxygen isotope exchange between SO<sub>4</sub> and H<sub>2</sub>O (SO<sub>4</sub>-H<sub>2</sub>O IE). BSR causes isotope fractionation, enriching δ<sup>18</sup>O<sub>SO<sub>4</sub></sub> and δ<sup>34</sup>S<sub>SO<sub>4</sub></sub> in the residual sulfate with the ratio of 1:4 [<a href="#B35-water-17-00788" class="html-bibr">35</a>,<a href="#B36-water-17-00788" class="html-bibr">36</a>]. Plots of δ<sup>18</sup>O<sub>SO<sub>4</sub></sub> vs. δ<sup>18</sup>O<sub>H<sub>2</sub>O</sub>, (<b>b</b>–<b>d</b>) 10<sup>3</sup>lnα<sub>SO<sub>4</sub>-H<sub>2</sub>O</sub> vs. wellhead temperature. The evolution of δ<sup>18</sup>O<sub>SO<sub>4</sub></sub>, δ<sup>18</sup>O<sub>H<sub>2</sub>O</sub> and 10<sup>3</sup>lnα<sub>SO<sub>4</sub>-H<sub>2</sub>O</sub> with temperature is based on 10<sup>3</sup>lnα = 3.251 × 10<sup>6</sup>/T<sup>2</sup>−5.6 [<a href="#B16-water-17-00788" class="html-bibr">16</a>].</p>
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<p>Plots of (<b>a</b>) δ<sup>34</sup>S<sub>SO<sub>4</sub></sub> vs. SO<sub>4</sub> (mmol/L), (<b>b</b>) δ<sup>18</sup>O<sub>SO<sub>4</sub></sub> vs. SO<sub>4</sub> (mmol/L), (<b>c</b>) δ<sup>34</sup>S<sub>SO<sub>4</sub></sub> vs. SO<sub>4</sub>/Cl and (<b>d</b>) δ<sup>18</sup>O<sub>SO<sub>4</sub></sub> vs. SO<sub>4</sub>/Cl for the Jimo geothermal waters. BSR: bacterial sulfate reduction, SO<sub>4</sub>-H<sub>2</sub>O IE: oxygen isotope exchange between SO<sub>4</sub> and H<sub>2</sub>O.</p>
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<p>Plots of the SO<sub>4</sub>/Cl molar ratio vs. SO<sub>4</sub> (<b>a</b>) and SO<sub>4</sub>/Cl molar ratio vs. Cl (<b>b</b>) for the Jimo geothermal waters, shallow groundwater and seawater. The gray solid lines represent the proportions of sulfate in geothermal water derived from sulfide oxidation (<span class="html-italic">Y</span><sub>SO</sub>). The black dashed lines represent the proportions of sulfate from shallow groundwater relative to that from HW01 (<span class="html-italic">Y</span><sub>SG</sub>/<span class="html-italic">Y</span><sub>HW01</sub>).</p>
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<p>(<b>a</b>) Geothermal reservoir temperatures estimated by chalcedony and quartz geothermometers (a [<a href="#B8-water-17-00788" class="html-bibr">8</a>], b [<a href="#B64-water-17-00788" class="html-bibr">64</a>], c [<a href="#B10-water-17-00788" class="html-bibr">10</a>], d [<a href="#B8-water-17-00788" class="html-bibr">8</a>], e [<a href="#B65-water-17-00788" class="html-bibr">65</a>]), cation geothermometers (f [<a href="#B11-water-17-00788" class="html-bibr">11</a>], g [<a href="#B13-water-17-00788" class="html-bibr">13</a>], h [<a href="#B66-water-17-00788" class="html-bibr">66</a>], i [<a href="#B67-water-17-00788" class="html-bibr">67</a>], j [<a href="#B64-water-17-00788" class="html-bibr">64</a>], k [<a href="#B12-water-17-00788" class="html-bibr">12</a>], l [<a href="#B68-water-17-00788" class="html-bibr">68</a>], m [<a href="#B14-water-17-00788" class="html-bibr">14</a>], n [<a href="#B9-water-17-00788" class="html-bibr">9</a>], o [<a href="#B13-water-17-00788" class="html-bibr">13</a>], p [<a href="#B69-water-17-00788" class="html-bibr">69</a>], q [<a href="#B70-water-17-00788" class="html-bibr">70</a>]; r [<a href="#B71-water-17-00788" class="html-bibr">71</a>]) and sulfate–water oxygen isotope geothermometers (s [<a href="#B72-water-17-00788" class="html-bibr">72</a>], t [<a href="#B16-water-17-00788" class="html-bibr">16</a>], u [<a href="#B35-water-17-00788" class="html-bibr">35</a>]). The box plots and violin plots show the median, top and bottom quartiles. (<b>b</b>) Stacked bar chart of proportions of sulfate from sulfide oxidation (<span class="html-italic">Y</span><sub>SO</sub>), shallow groundwater (<span class="html-italic">Y</span><sub>SG</sub>) and HW01 (<span class="html-italic">Y</span><sub>HW01</sub>); (<b>c</b>–<b>e</b>) spatial fluctuation patterns of geothermal reservoir temperatures. Chal: chalcedony.</p>
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<p>Influence of mixing and degassing on Q/K graphs for geothermal water from HW01 and HW04, (<b>a</b>,<b>c</b>) the original Q/K graphs (RAW); (<b>b</b>,<b>d</b>) the corrected Q/K graphs after the addition of water and CO<sub>2</sub>.</p>
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<p>A conceptual model showing the evolution of geochemical characteristics and sulfur and oxygen isotope of sulfate in geothermal water.</p>
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24 pages, 19467 KiB  
Article
Spatiotemporal Heterogeneity of Vegetation Cover Dynamics and Its Drivers in Coastal Regions: Evidence from a Typical Coastal Province in China
by Yiping Yu, Dong Liu, Shiyu Hu, Xingyu Shi and Jiakui Tang
Remote Sens. 2025, 17(5), 921; https://doi.org/10.3390/rs17050921 - 5 Mar 2025
Viewed by 142
Abstract
Studying the spatiotemporal trends and influencing factors of vegetation coverage is essential for assessing ecological quality and monitoring regional ecosystem dynamics. The existing research on vegetation coverage variations and their driving factors predominantly focused on inland ecologically vulnerable regions, while coastal areas received [...] Read more.
Studying the spatiotemporal trends and influencing factors of vegetation coverage is essential for assessing ecological quality and monitoring regional ecosystem dynamics. The existing research on vegetation coverage variations and their driving factors predominantly focused on inland ecologically vulnerable regions, while coastal areas received relatively little attention. However, coastal regions, with their unique geographical, ecological, and anthropogenic activity characteristics, may exhibit distinct vegetation distribution patterns and driving mechanisms. To address this research gap, we selected Shandong Province (SDP), a representative coastal province in China with significant natural and socioeconomic heterogeneity, as our study area. To investigate the coastal–inland differentiation of vegetation dynamics and its underlying mechanisms, SDP was stratified into four geographic sub-regions: coastal, eastern, central, and western. Fractional vegetation cover (FVC) derived from MOD13A3 v061 NDVI data served as the key indicator, integrated with multi-source datasets (2000–2023) encompassing climatic, topographic, and socioeconomic variables. We analyzed the spatiotemporal characteristics of vegetation coverage and their dominant driving factors across these geographic sub-regions. The results indicated that (1) the FVC in SDP displayed a complex spatiotemporal heterogeneity, with a notable coastal–inland gradient where FVC decreased from the inland towards the coast. (2) The influence of various factors on FVC significantly varied across the sub-regions, with socioeconomic factors dominating vegetation dynamics. However, socioeconomic factors displayed an east–west polarity, i.e., their explanatory power intensified westward while resurging in coastal zones. (3) The intricate interaction of multiple factors significantly influenced the spatial differentiation of FVC, particularly dual-factor synergies where interactions between socioeconomic and other factors were crucial in determining vegetation coverage. Notably, the coastal zone exhibited a high sensitivity to socioeconomic drivers, highlighting the exceptional sensitivity of coastal ecosystems to human activities. This study provides insights into the variations in vegetation coverage across different geographical zones in coastal regions, as well as the interactions between socioeconomic and natural factors. These findings can help understand the challenges faced in protecting coastal vegetation, facilitating deeper insight into ecosystems responses and enabling the formulation of effective and tailored ecological strategies to promote sustainable development in coastal areas. Full article
(This article belongs to the Special Issue Remote Sensing in Coastal Vegetation Monitoring)
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<p>Geographic overview of the study area. The location (<b>a</b>), elevation (<b>b</b>), and different research location partitions (<b>c</b>) of SDP.</p>
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<p>Flowchart of the research process.</p>
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<p>FVC changes in SDP during 2000−2023: percentage of FVC change area (<b>a</b>), changes in FVC values (<b>b</b>), trends in FVC (<b>c</b>), and significance analysis of trends in FVC (<b>d</b>).</p>
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<p>FVC of SDP in 2000 (<b>a</b>), 2010 (<b>b</b>), and 2023 (<b>c</b>); vegetation cover dynamics (<b>d</b>) and significance (<b>e</b>) during 2000–2010; dynamics (<b>f</b>) and significance (<b>g</b>) during 2010–2023.</p>
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<p>Explanatory power of factors driving spatial variations in FVC within SDP and its various sub-regions.</p>
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<p>Significance of differences in the role of FVC factors in SDP. <b>Note:</b> F-test with a significance threshold of 0.05.</p>
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<p>Different regional factor interactions in the entire SDP (<b>a</b>), eastern zone (<b>b</b>), western zone (<b>c</b>), central zone (<b>d</b>), and coastal zone of SDP (<b>e</b>). <b>Note:</b> “Enhance, nonlinear-” denotes a scenario where the combined explanatory capacity of the influencing factors in their interaction surpasses the mere summation of their individual explanatory strengths when acting in isolation. “Enhance, bi-” signifies that the interaction between two influencing factors yields an explanatory power that is superior to that of either factor alone.</p>
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<p>Explanatory power of interactive detection of multifactors in FVC of SDP.</p>
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<p>Detailed map of regions with significant increases in FVC during 2000–2010 (<b>a</b>,<b>b</b>) and regions with significant decreases in FVC during 2010–2023 (<b>c</b>,<b>d</b>).</p>
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36 pages, 9270 KiB  
Review
Marine Renewable Energy Resources in Peru: A Sustainable Blue Energy for Explore and Develop
by Carlos Cacciuttolo, Giovene Perez and Mivael Falcón
J. Mar. Sci. Eng. 2025, 13(3), 501; https://doi.org/10.3390/jmse13030501 - 4 Mar 2025
Viewed by 276
Abstract
The Peruvian coast covers more than 3000 km along the Pacific Ocean, being one of the richest seas in terms of biodiversity, productivity, fishing, and renewable energy potential. Marine renewable energy (MRE) in both offshore and coastal environments of Peru is, currently, a [...] Read more.
The Peruvian coast covers more than 3000 km along the Pacific Ocean, being one of the richest seas in terms of biodiversity, productivity, fishing, and renewable energy potential. Marine renewable energy (MRE) in both offshore and coastal environments of Peru is, currently, a huge reserve of practically unused renewable energy, with inexhaustible potential. In this context, renewable energies from hydroelectric, biomass, wind, and solar sources have been applied in the country, but geothermal, waves, tidal currents, and tidal range sources are currently underdeveloped. This article presents the enormous source of sustainable blue energy for generating electrical energy that exists in Peru from waves and tidal resource potential. In addition, this article presents the main opportunities, gaps, and key issues for the implementation of marine renewable energy (MRE), with emphasis on: (i) showing the available potential in the northern, central, and southern Pacific Ocean territories of Peru, (ii) characterizing the marine energy best available technologies to implement, (iii) the environmental and socio-economic impacts of marine renewable energy, and (iv) discussion of challenges, opportunities, and future directions for developments in the marine energy sector. Finally, the article concludes that the greatest possibilities for exploiting the abundant marine renewable energy (MRE) resource in Peru are large spaces in both offshore and coastal environments on the Pacific Ocean that can be considered for harvesting energy. These issues will depend strongly on the implementation of regulations and policies for the strategic use for planning of marine resources, encouraging research and development (R&D) for creating sustainable innovations, incentives for project finance mechanisms, and developing specialized local human capital, considering the sustainability of livelihoods of coastal communities and ecosystems. Full article
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<p>Panoramic view of Huanchaco Beach, a coastal environment close to Trujillo city, Peru.</p>
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<p>World map of density of waves, including the case of Peru.</p>
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<p>Potential of wave energy in Peru—offshore and coastal environment zones (kW/m).</p>
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<p>Potential of wave energy in Peru—north Pacific Ocean zone waves resource map (kW/m).</p>
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<p>Potential of wave energy in Peru—central Pacific Ocean zone waves resource map.</p>
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<p>Potential of wave energy in Peru—south Pacific Ocean zone waves resource map.</p>
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<p>Tidal range world map: world map of M2 tidal amplitude.</p>
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<p>Conceptual model example of blue economy considering insertion of marine renewable energy.</p>
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<p>Pillars of development for marine renewable energy infrastructure.</p>
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<p>Example of different devices for wave energy harvesting.</p>
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<p>Panoramic view of attenuator wave energy device.</p>
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<p>Panoramic view of overtopping wave energy device.</p>
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<p>Panoramic view of an oscillating water column wave energy device.</p>
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<p>Panoramic view of point absorber wave energy device.</p>
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<p>Panoramic view of oscillating wave surge converter wave energy device.</p>
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<p>Panoramic view of wave surge converter device—Brazil case study.</p>
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<p>Panoramic view of point absorber device—Chile case study.</p>
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<p>Panoramic view of point absorber water desalination device—Peru case study.</p>
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<p>Panoramic view of a tidal barrage system—tidal range energy device.</p>
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<p>Panoramic view of a horizontal axis turbine tidal stream energy device.</p>
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<p>Panoramic view of a vertical axis turbine tidal stream energy device.</p>
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<p>Panoramic view of an oscillating hydrofoil tidal stream energy device.</p>
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25 pages, 6296 KiB  
Article
Erosion and Accretion Characteristics of the Muddy Coast in the Central Coastal Area of Jiangsu Province Based on Long-Term Remote Sensing Monitoring
by Qiqi Pan, Dong Zhang, Min Xu, Zhuo Zhang and Yunjuan Gu
Remote Sens. 2025, 17(5), 875; https://doi.org/10.3390/rs17050875 - 28 Feb 2025
Viewed by 188
Abstract
Owing to the abundant land resources in the intertidal zone, the central coastal area of Jiangsu Province, China, has implemented large-scale activities such as tidal flat reclamation, aquaculture, and harbor construction, which have strongly affected the local hydrodynamic environment and the evolution of [...] Read more.
Owing to the abundant land resources in the intertidal zone, the central coastal area of Jiangsu Province, China, has implemented large-scale activities such as tidal flat reclamation, aquaculture, and harbor construction, which have strongly affected the local hydrodynamic environment and the evolution of the mudflat. In this study, based on the 1984–2022 multisource remote sensing image data, an enhanced waterline method (EWM) combined with an average slope method (ASM) were adopted to obtain the spatial–temporal evolution characteristics of the continental coastline and intertidal zone in central Jiangsu Province for six typical years, exhibiting the coastal variations at critical year intervals in response to former large-scale coastal development and subsequent coastal zone protection. Results showed that the coastlines significantly advanced toward the sea. The deposited coast moved toward the seaside at an annual rate of 85.91 m, and the reclaimed coast advanced toward the seaside at a yearly rate of 129.25 m, which were dominated by natural siltation and reclamation activities of mudflats. In the past forty years, the coast’s erosion and siltation transition node has gradually moved southward from the Sheyang Estuary to the Simaoyou Estuary. Affected by reclamation and coastal erosion, the most drastic changes in the slope of the erosive intertidal zone occurred in the section from Binhai Port to the Biandan Estuary, ranging from 2‰ to 14‰. The silted coastal section from the Sheyang Estuary to the Xinyang Estuary increased in average slope from 0.89‰ to 2.43‰ as a result of the continuous intensification of erosion. The area of the intertidal mudflat decreased by 47.76% from 1378.59 to 720.11 km2, whereas the mean width of the intertidal zone decreased by 48.02%, from 5518.44 m to 2868.36 m. This study provides current situations of the dynamic changes in the muddy coast of the central Jiangsu coast, which could be a comparison and reference for the sustainable development, utilization, and protection of similar muddy coasts globally. Full article
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<p>Location map of the study area showing the distribution of the tidal observing stations and elevation measurement transects.</p>
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<p>Technical flowchart.</p>
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<p>Comparison between the measured and the estimated tide level.</p>
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<p>Schematic diagram of the MSHTL line and MSLTL line calculation. (<b>a</b>) Scheme for wide tidal flat with gentle slope and (<b>b</b>) scheme for narrow tidal flat with steep slope.</p>
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<p>Comparison between the remote sensing-estimated slope and the measured slope.</p>
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<p>Spatial distributions of the coastline and intertidal zone from the year 1984 to 2022.</p>
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<p>Coastline length variation from the year 1984 to 2022.</p>
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<p>Changes in erosion and siltation of the coastline from 1984 to 2022.</p>
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<p>(<b>a</b>–<b>e</b>) Variations in the position of the MSLTL line from 1984 to 2022.</p>
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<p>Spatial variation of the mudflat caused by the movement of the coastline and MSLTL line from 1984 to 2022.</p>
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<p>Estimated intertidal slope from 1984 to 2022.</p>
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13 pages, 3138 KiB  
Case Report
Evaluation of a Novel Cisplatin Poloxamer Gel Formulation in the Treatment of Incompletely Excised Soft-Tissue Sarcomas: 42 Dogs
by Nicholas Lai, Veronika Langova, Penny Thomas, Sandra Nguyen, Johanna Todd, Joe Herbert and John Edward Blaxill
Vet. Sci. 2025, 12(3), 202; https://doi.org/10.3390/vetsci12030202 - 27 Feb 2025
Viewed by 232
Abstract
Soft-tissue sarcomas are a heterogenous group of mesenchymal tumours that occur in dogs. Complete surgical excision is the ideal treatment for this tumour, but often, the location of the tumour makes this challenging, and the morbidity and cost of such a procedure may [...] Read more.
Soft-tissue sarcomas are a heterogenous group of mesenchymal tumours that occur in dogs. Complete surgical excision is the ideal treatment for this tumour, but often, the location of the tumour makes this challenging, and the morbidity and cost of such a procedure may be prohibitive. This study describes the use of intralesional cisplatin in a novel poloxamer gel formulation, injected into the tumour bed as an adjuvant treatment to try and lower rates of local recurrence following incomplete and marginal excision. This formulation of cisplatin transiently solidifies at body temperature and exposes the tumour bed to high concentrations of this cytotoxic drug. An overall recurrence rate of 36% (15/42) was recorded in this cohort, with recurrence more likely to occur in tumours that had previously recurred and in larger (≥50 mm) tumours. Whilst this drug formulation is easy to administer and is well tolerated, subsequent use should be weighed against other adjuvant options. Other clinical utilisations of poloxamers in veterinary oncology should be explored. Full article
(This article belongs to the Special Issue Focus on Tumours in Pet Animals: 2nd Edition)
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<p>Illustrations of patterns of instillation of intralesional cisplatin into tumour beds of various geometries. Scar tissue is represented by a deeper pink on a beige background (normal skin). Sites of needle entry into the skin are demarcated by dots, with the subcutaneous needle tract represented by perforated lines. Where a linear scar was present, needle tracts perpendicular to the scar at intervals of 5 mm were used to cover the length of the scar (<b>A</b>). Where a treatment site was more square/triangular, a grid-like pattern of infiltration was used (<b>B</b>). For smaller treatment sites, a circumferential pattern of instillation centred around the tumour bed was used (<b>C</b>).</p>
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<p>Kaplan–Meier curve depicting DFI for all 42 dogs treated with intralesional cisplatin, with shaded areas representing the 95% confidence intervals.</p>
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<p>Kaplan–Meier curve depicting ST for all 42 dogs treated with intralesional cisplatin, with shaded areas representing the 95% confidence intervals.</p>
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<p>Kaplan–Meier curve depicting DFI for patients in which prior recurrence was recorded before ILC treatment, compared to patients in which ILC was administered after the first occurrence of the tumour, with shaded areas representing the 95% confidence intervals.</p>
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<p>Kaplan–Meier curve depicting DFI for patients in which longest tumour dimension was ≥50 mm, compared to patients with tumours &lt;50 mm, with shaded areas representing the 95% confidence intervals.</p>
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<p>Box plot illustrating significant correlation between smaller tumour size and lower tumour grade in this cohort of patients (<span class="html-italic">t</span>-test, <span class="html-italic">p</span> &lt; 0.01), with significance of grade 1 tumours and smaller size highlighted by (****), and non significance in size between grade 2/3 tumours demarcated by (ns).</p>
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<p>Kaplan–Meier curve depicting DFI for patients in which tumour margins were infiltrated, compared to clean but close margins (CbCM), with shaded areas representing the 95% confidence intervals.</p>
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<p>Kaplan–Meier curve depicting DFI for patients, stratified by tumour grade, with shaded areas representing the 95% confidence intervals.</p>
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<p>Kaplan–Meier curve depicting DFI for patients that received metronomic treatment (tx)—comprising cyclophosphamide, frusemide, and a non-steroidal anti-inflammatory drug following ILC treatment—compared to those that did not, with shaded areas representing the 95% confidence intervals.</p>
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13 pages, 8409 KiB  
Article
Mapping Storm Surge Risk at County Level in Coastal Areas of China
by Xianwu Shi, Yande Zhang, Shan Liu, Lifen Yang, Lanlan Yu, Yao Zhang, Ning Jia and Zilu Tian
J. Mar. Sci. Eng. 2025, 13(3), 427; https://doi.org/10.3390/jmse13030427 - 25 Feb 2025
Viewed by 116
Abstract
Storm surges represent a prominent and significant natural hazard in the coastal areas of China and cause substantial human and economic losses. We investigated historical storm surge events in these areas to assess the distribution of associated hazards and to construct a storm [...] Read more.
Storm surges represent a prominent and significant natural hazard in the coastal areas of China and cause substantial human and economic losses. We investigated historical storm surge events in these areas to assess the distribution of associated hazards and to construct a storm surge hazard index. The tide-gauge data from 83 observational stations along the Chinese coast were collected, and the assessment was based on two indicators, namely the storm surge height and the exceeded water warning level of these events. Further, we conducted a vulnerability assessment of coastal counties in China using population and economic distribution data. Thereafter, the distribution of storm surge hazards and vulnerability levels was considered, and we determined the county-level risk of storm surges covering 219 coastal counties in China. The findings revealed substantial spatial variations therein, with high-risk areas in terms of the population and economic effects of such surges accounting for 25.1% (55/219) and 27.4% (60/219) of all coastal counties, respectively. These results provide preliminary insight into storm surge risks in China and have implications for the prevention and mitigation of storm surges for central government. Full article
(This article belongs to the Section Marine Hazards)
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<p>Distribution of tide-gauge stations along coast of China.</p>
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<p>Spatial distribution map of four-color water warning levels: (<b>a</b>) Blue; (<b>b</b>) Yellow; (<b>c</b>) Orange; (<b>d</b>) Red.</p>
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<p>Distribution of storm surge hazards in coastal counties of China.</p>
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<p>Storm surge vulnerability of coastal counties in China according to population (<b>a</b>) and GDP (<b>b</b>).</p>
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<p>Storm surge risk for coastal counties according to population (<b>a</b>) and GDP (<b>b</b>).</p>
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19 pages, 4389 KiB  
Article
Beach Erosion Characteristics Induced by Human Activities—A Case Study in Haiyang, Yellow Sea
by Changle Zhang, Yongzhi Wang, Jun Du, Ziwen Tian and Yi Zhong
Remote Sens. 2025, 17(5), 736; https://doi.org/10.3390/rs17050736 - 20 Feb 2025
Viewed by 252
Abstract
Coastal zones, which serve as transitional areas between land and sea, possess unique ecological values. Sandy coasts, celebrated for their distinctive natural beauty and ideal recreational settings, have garnered significant attention. However, uncontrolled human activities can exacerbate erosion or even trigger more severe [...] Read more.
Coastal zones, which serve as transitional areas between land and sea, possess unique ecological values. Sandy coasts, celebrated for their distinctive natural beauty and ideal recreational settings, have garnered significant attention. However, uncontrolled human activities can exacerbate erosion or even trigger more severe erosion along these coasts. This study utilizes unmanned aerial photography and typical beach profile survey data collected from the main areas of Wanmi Beach over the past eight years to quantify annual changes in beach erosion and elucidate the erosion characteristics and their variations across different shore profiles. Additionally, the impact of various types of human activities in different regions is analyzed, revealing the erosion patterns prevalent in the main areas of Wanmi Beach. The findings indicate that the eastern research area (ERA) has been in a continuous state of erosion, primarily due to a reduction in sediment supply in the region, with severe erosion observed on the foreshore of Fengxiang Beach and Wanmi Bathing Beach (WBB). In contrast, the central research area (CRA), particularly around Yangjiao Bay, has experienced significant siltation in recent years, with the highest siltation volume recorded between 2021 and 2023, totaling 90,352.91 m3. Nevertheless, the foreshore areas at both ends of the research area, distant from Yangjiao Bay, have been subject to erosion. The western research area (WRA) is notably impacted by surrounding aquaculture activities, leading to alternating periods of erosion and siltation on the beach surface. Consequently, due to the influence of human activities on different shore profiles, most of Wanmi Beach, except for the area near Yangjiao Bay, is experiencing erosion. Full article
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<p>Map of the study area.</p>
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<p>Wave rose charts for four seasons in the study area. (Data in <a href="#remotesensing-17-00736-f002" class="html-fig">Figure 2</a> adapted with permission from Ref. [<a href="#B53-remotesensing-17-00736" class="html-bibr">53</a>]).</p>
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<p>Image of study area with distribution of GNSS RTK monitoring profiles.</p>
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<p>Comparison of beach elevation changes in 2017, 2018, 2019, 2020, 2021, and 2023 in ERA. Note: (<b>a</b>–<b>e</b>) represent the beach elevation changes in the ERA for the periods 2017–2018, 2018–2019, 2019–2020, 2020–2021, and 2021–2023, respectively.</p>
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<p>Comparison of beach elevation changes in 2017, 2018, 2019, 2020, 2021, and 2023 in the CRA. Note: (<b>a</b>–<b>e</b>) represent the beach elevation changes in the CRA for the periods 2017–2018, 2018–2019, 2019–2020, 2020–2021, and 2021–2023, respectively.</p>
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<p>Comparison of beach elevation changes in 2017, 2018, 2019, 2020, 2021, and 2023 in the WRA. Note: (<b>a</b>–<b>e</b>) represent the beach elevation changes in the WRA for the periods 2017–2018, 2018–2019, 2019–2020, 2020–2021, and 2021–2023, respectively.</p>
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<p>Changes in different profiles from 2016 to 2022.</p>
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<p>Changes in different profiles from 2016 to 2022.</p>
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<p>Schematic diagram of natural factor conditions in the study area.</p>
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11 pages, 3981 KiB  
Article
Injury Caused by Western Tarnished Plant Bug (Hemiptera: Miridae) on Broccoli and Cauliflower in Laboratory Assays
by Shimat V. Joseph
Horticulturae 2025, 11(2), 210; https://doi.org/10.3390/horticulturae11020210 - 16 Feb 2025
Viewed by 301
Abstract
The polyphagous Lygus hesperus Knight is a serious pest on many crops in the western USA, including California’s central coast. Although L. hesperus adults can cause damage to broccoli and cauliflower, symptoms from their interactions with these plants are not fully characterized. Characterizing [...] Read more.
The polyphagous Lygus hesperus Knight is a serious pest on many crops in the western USA, including California’s central coast. Although L. hesperus adults can cause damage to broccoli and cauliflower, symptoms from their interactions with these plants are not fully characterized. Characterizing the feeding and ovipositional damage will help in the early diagnosis of the problem in the field and in greenhouses. Thus, the objective of this study was to characterize the feeding and ovipositional injury symptoms in broccoli and cauliflower after exposing 0, 1, 3, 5, and 10 adult L. hesperus to seedlings of broccoli and cauliflower for 24 h, 48 h, and 7 d. Although distorted and “blind” shoots were observed, feeding injury did not rapidly manifest into damage after 7 d post-exposure with high counts of adults on broccoli and cauliflower seedlings. The ovipositional injury was expressed as lesions that developed rapidly with a high density of adults in 24 h. The same levels of damage were observed with three or five adults to these hosts in 48 h. Significant positive correlations between the total eggs and lesions developed were observed on broccoli and cauliflower seedlings. After adult L. hesperus exposure, the growth of broccoli seedlings was reduced, but there was no effect on the growth of cauliflower seedlings. For diagnosis, data show that lesions are associated with adult L. hesperus ovipositional activity on these crops, which recommends thorough scouting and immediate application of plant protectants to reduce potential crop loss in greenhouses and in the field. Full article
(This article belongs to the Special Issue Pest Diagnosis and Control Strategies for Fruit and Vegetable Plants)
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<p>(<b>A</b>) Experimental setup where plants were caged using cylindrical cages, and adult <span class="html-italic">Lygus hesperus</span> on seedlings (red arrows) with (<b>B</b>) caged and (<b>C</b>) non-caged view.</p>
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<p>(<b>A</b>–<b>C</b>) distorted shoots (blue arrows) after adult <span class="html-italic">Lygus hesperus</span> feeding, and (<b>D</b>–<b>F</b>) lesions on the midrib of plants (red arrows). Blue arrows inside (<b>E</b>) show the opercular of <span class="html-italic">L. hesperus</span> eggs visible under 10× magnification of a dissecting microscope.</p>
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<p>Mean (±SE) number of eggs found on plant tissues after exposing various densities of adult <span class="html-italic">Lygus hesperus</span> for various durations on (<b>A</b>) broccoli and (<b>B</b>) cauliflower seedlings. The same letters (lower, upper, and bold case) above bar types (orange, green, blue), compared among adult densities, within each figure were not significantly different (Tukey–Krammer test, <span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Mean (±SE) number of discrete lesions found on plant tissues after exposing various densities of adult <span class="html-italic">Lygus hesperus</span> for various durations on (<b>A</b>) broccoli and (<b>B</b>) cauliflower seedlings. The same letters (lower, upper, and bold case) above bar types (orange, green, blue), compared among adult densities, within each figure were not significantly different (Tukey–Krammer test, <span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Mean (±SE) fresh weight (g) of (<b>A</b>) broccoli and (<b>C</b>) cauliflower shoots as well as length of shoots (cm) of (<b>B</b>) broccoli and (<b>D</b>) cauliflower after exposing various densities of adult <span class="html-italic">Lygus hesperus</span> for 7 d. The same letters above bars within a figure panel were not significantly different (Tukey–Krammer test, <span class="html-italic">p</span> &lt; 0.05). Where no differences were observed among treatments, no letters are given.</p>
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31 pages, 16566 KiB  
Article
Storm Surge Risk Assessment Based on LULC Identification Utilizing Deep Learning Method and Multi-Source Data Fusion: A Case Study of Huizhou City
by Lichen Yu, Hao Qin, Wei Wei, Jiaxiang Ma, Yeyi Weng, Haoyu Jiang and Lin Mu
Remote Sens. 2025, 17(4), 657; https://doi.org/10.3390/rs17040657 - 14 Feb 2025
Viewed by 346
Abstract
Among the frequent natural disasters, there is a growing concern that storm surges may cause enhanced damage to coastal regions due to the increase in climate extremes. It is widely believed that storm surge risk assessment is of great significance for effective disaster [...] Read more.
Among the frequent natural disasters, there is a growing concern that storm surges may cause enhanced damage to coastal regions due to the increase in climate extremes. It is widely believed that storm surge risk assessment is of great significance for effective disaster prevention; however, traditional risk assessment often relies on the land use data from the government or manual interpretation, which requires a great amount of material resources, labor and time. To improve efficiency, this study proposes a framework for conducting fast risk assessment in a chosen area based on social sensing data and a deep learning method. The coupled Finite Volume Coastal Ocean Model (FVCOM) and Simulating Waves Nearshore (SWAN) model are applied for simulating inundation of five storm surge scenarios. Social sensing data are generated by fusing POI kernel density and night light data through wavelet transform. Subsequently, the Swin Transformer model receives two sets of inputs: one includes social sensing data, Normalized Difference Water Index (MNDWI) and Normalized Difference Chlorophyll Index (NDCI), and the other is Red, Green, Blue bands. The ensembled model can be used for fast land use identification for vulnerability assessment, and the accuracy is improved by 3.3% compared to the traditional RGB input. In contrast to traditional risk assessment approaches, the proposed method can conduct emergency risk assessments within a few hours. In the coast area of Huizhou city, the area considered to be at risk is 135 km2, 89 km2, 82 km2, 72 km2 and 64 km2, respectively, when the central pressure of the typhoon is 880, 910, 920, 930 and 940 hpa. The Daya Bay Petrochemical Zone and central Huangpu waterfront are two areas at high risk. The conducted risk maps can help decision-makers better manage storm surge risks to identify areas at potential risk, prepare for disaster prevention and mitigation. Full article
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<p>Diagrammatic representation of the study’s location. (<b>a</b>) Location of Huizhou. (<b>b</b>) Town-level zoning in the study.</p>
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<p>Results of the Kernel Density Estimation (KDE) for Point of Interest (POI) data.</p>
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<p>Procedure of data fusion based on wavelet transform.</p>
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<p>(<b>a</b>) NTL data of the labeled area. (<b>b</b>) Data fusion results based on wavelet transform.</p>
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<p>Structure of the Swin Transformer block.</p>
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<p>Overall structure of Swin Transformer.</p>
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<p>Geographical map of the area selected for the construction of training samples.</p>
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<p>Examples of three types of land use. (<b>a</b>) Building land; (<b>b</b>) agriculture land; (<b>c</b>) aquaculture ponds.</p>
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<p>Loss curves for model training.</p>
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<p>(<b>a</b>) Depth–loss functions provided by JRC. (<b>b</b>) Depth–loss functions of rice and aquaculture provided by Nga et al. [<a href="#B81-remotesensing-17-00657" class="html-bibr">81</a>].</p>
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<p>Schematic overview of the proposed framework for storm surge risk assessment.</p>
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<p>Visual contrast of maximum simulated and measured water level during typhoon events: (<b>a</b>) Vicente; (<b>b</b>) Hato; (<b>c</b>) Mangkhut; (<b>d</b>) Khanun.</p>
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<p>Simulation results of inundation in five distinct storm surge scenarios corresponding to return periods of (<b>a</b>) 1000 years, (<b>b</b>) 100 years, (<b>c</b>) 50 years, (<b>d</b>) 20 years and (<b>e</b>) 10 years.</p>
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<p>Hazard level statistics for the area affected by inundation.</p>
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<p>Land use identification result of the study area.</p>
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<p>Vulnerability assessment result of the study area.</p>
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<p>Statistical results of risk level area for risk assessment.</p>
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<p>Risk assessment results for storm surges are detailed for five separate typhoon events, each with a return period of (<b>a</b>) 1000, (<b>b</b>) 100, (<b>c</b>) 50, (<b>d</b>) 20 and (<b>e</b>) 10 years.</p>
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<p>Comparison of risk assessment maps when the typhoon return period is 1000 years. (<b>a</b>) Ours; (<b>b</b>) based on government data and technical guideline.</p>
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11 pages, 784 KiB  
Article
The Assessment of Mercury Concentrations in Two Species of Edible Forest Mushrooms, Aureoboletus projectellus and Imleria badia, and Their Impact on Consumers’ Health
by Michał Skibniewski, Bartosz Skibniewski, Iwona Lasocka and Ewa Skibniewska
Foods 2025, 14(4), 631; https://doi.org/10.3390/foods14040631 - 13 Feb 2025
Viewed by 601
Abstract
In recent years, the consumption of wild mushrooms in Central Europe has significantly increased. These mushrooms are increasingly recognized as a nutritious, low-calorie, and environmentally friendly food option. They are a valuable source of protein and are rich in vitamins and minerals; however, [...] Read more.
In recent years, the consumption of wild mushrooms in Central Europe has significantly increased. These mushrooms are increasingly recognized as a nutritious, low-calorie, and environmentally friendly food option. They are a valuable source of protein and are rich in vitamins and minerals; however, they can also accumulate toxic elements that may pose risks to human health. This study examined the mercury concentrations in the fruiting bodies of two edible forest mushroom species: Aureoboletus projectellus and Imleria badia. This study took into account the distribution of Hg in the two morphological parts of mushroom fruiting bodies—the caps and the stipes. The total mercury content of the mushroom samples was analyzed using an AMA-254 analyzer. Both mushroom species exhibited higher mercury concentrations in their caps than in their stipes, with levels measuring 0.048 mg·kg−1 dry matter (DM) for Aureoboletus projectellus and 0.055 mg·kg−1 DM for Imleria badia. The mercury content in the stipes was 0.032 mg·kg−1 DM for Aureoboletus projectellus and 0.025 mg·kg−1 DM for Imleria badia. The results obtained indicate that these species do not pose a health risk to consumers in terms of Hg content and can be a valuable addition to the human diet. They are also an indicator of the quality of the forest environment of the central coast of Poland, which should be considered free of mercury pollution. Full article
(This article belongs to the Section Food Toxicology)
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<p>Schematic map of the sampling area and the 213-road.</p>
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13 pages, 5929 KiB  
Article
Evidence of Morphological and Morphometric Differences in the Sella Turcica of Pteronotus mesoamericanus and P. mexicanus
by M. A. Peralta-Pérez and M. Briones-Salas
Animals 2025, 15(4), 519; https://doi.org/10.3390/ani15040519 - 12 Feb 2025
Viewed by 594
Abstract
Morphological modifications are a potential mechanism for functional species and phylogenetic diversification. The sella turcica in mammals is a structure associated with the basisphenoid bone and serves as the receptacle for the pituitary gland; however, little is known about the morphological variation that [...] Read more.
Morphological modifications are a potential mechanism for functional species and phylogenetic diversification. The sella turcica in mammals is a structure associated with the basisphenoid bone and serves as the receptacle for the pituitary gland; however, little is known about the morphological variation that may affect functionality in chiropterans. In this study, we provide morphological and morphometric evidence of differences between populations of Pteronotus mesoamericanus [the Gulf of Mexico] and P. mexicanus [the Pacific Coast] by describing variations in the dimensions of the dorsum sellae and the processus clinoideus caudalis of the sella turcica. We obtained 20 a priori designed measurements of the dorsum of the sella turcica from 243 skulls of both species from various locations in Mexico. The dorsum sellae were found at an average distance of 3.4 mm from the lower edge of the foramen magnum. The dorsum of the sella turcica has a truncated pyramidal shape, with the processus clinoideus caudalis located at the tip of the pyramid. Ten of the measurements obtained were found to be significant for both regions (the Pacific Coast and the Gulf of Mexico). We propose that these measurements be tested in future studies of populations from the Mormoopidae family in the Antilles, Central America, and South America for comparative purposes, and to help distinguish different lineages and functions. Full article
(This article belongs to the Section Mammals)
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<p>Localities where specimens of both species of <span class="html-italic">Pteronotus</span> were recorded.</p>
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<p>(<b>a</b>) Device for obtaining macrophotography and (<b>b</b>) occipital view of a <span class="html-italic">Pteronotus</span> skull mounted on a metal rod. The focus was on the interior through the foramen magnum.</p>
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<p>Schematic of recorded lengths and angles of the <span class="html-italic">dorsum sellae</span> and <span class="html-italic">processus clinoideus caudalis</span> (<b>a</b>,<b>b</b>) indicating where the <span class="html-italic">dorsum sellae</span> is the edge of the <span class="html-italic">foramen magnum</span> in the ventral view of the skull (the thin black arrow indicates the site of the synchondrosis) (<b>c</b>). For a description of the measurements, see <a href="#animals-15-00519-t001" class="html-table">Table 1</a>.</p>
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<p>Graphics of independent-sample Mann–Whitney U test for ten measurements: the Coastal Pacific (CP, in blue) vs. Gulf of Mexico (GM, in green) regions.</p>
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<p>Graphics of independent-sample Mann–Whitney U test for ten measurements: the Coastal Pacific (CP, in blue) vs. Gulf of Mexico (GM, in green) regions.</p>
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<p>(<b>a</b>) Images of the dorsum sellae and posterior clinoid processes in the skulls of other species of the Moormopidae family (<span class="html-italic">Moormops megalophylla</span>, <span class="html-italic">P. fulvus</span>, <span class="html-italic">P. psilotis</span>, and other microchiropterans <span class="html-italic">Glossofaga soricina</span> and <span class="html-italic">Artibeus lituratus</span>). (<b>b</b>) Images of the occipital view in which there is an absence of the dorsum sellae and its clinoid processes in the skulls of <span class="html-italic">Noctilio leporinus</span>, <span class="html-italic">Baliantiopterix plicata</span>, <span class="html-italic">Lasiurus cinereus</span>, and <span class="html-italic">Macrotus waterhoussi</span>. The black line is equivalent to 1 mm.</p>
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16 pages, 1240 KiB  
Article
Stock Structure of the Gulf Hake Urophycis cirrata (Teleostei: Phycidae) in South-Western Atlantic Using Otolith Shape and Elemental Analyses
by César Santificetur, Carmen Lúcia Del Bianco Rossi-Wongtschowski, André Ruperti, Agostinho Almeida, Edgar Pinto and Alberto Teodorico Correia
Fishes 2025, 10(2), 63; https://doi.org/10.3390/fishes10020063 - 4 Feb 2025
Viewed by 545
Abstract
Urophycis cirrata is an important demersal fish species targeted by Brazilian industrial fisheries. With high exploitation rates, its stock(s) is(are) currently deemed fully exploited or overexploited. While basic ecological information, such as length at first maturity, exists, knowledge of its population structure is limited. [...] Read more.
Urophycis cirrata is an important demersal fish species targeted by Brazilian industrial fisheries. With high exploitation rates, its stock(s) is(are) currently deemed fully exploited or overexploited. While basic ecological information, such as length at first maturity, exists, knowledge of its population structure is limited. A sub-sample of 90 sagittal otoliths of U. cirrata juveniles (300–411 mm total length) collected during the Program for Assessment of the Sustainable Potential of Living Resources in the Exclusive Economic Zone (REVIZEE) in 2001/2002 was analyzed. Samples came from the outer continental shelf and upper slope of the southeast-south Brazilian coast, divided into three regions: northern (Cabo São Tomé to São Sebastião), central (São Sebastião to Cabo Santa Marta Grande), and southern (Cabo Santa Marta Grande to Chuí). Otolith shape (elliptic Fourier descriptors) and elemental (element:Ca) signatures were examined using univariate (ANOVA, Tukey) and multivariate (MANOVA, LDFA) statistical methods. An overall reclassification success rate of 86% was achieved using both signatures. However, individuals from the three regions were not fully separable, indicating a single, albeit not homogeneous, population unit for fisheries management. As fish stocks are dynamic, contemporary studies should be conducted to verify whether this population structure persists. Full article
(This article belongs to the Section Biology and Ecology)
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<p>Map of Brazil (inset map) showing the sampling area of <span class="html-italic">Urophicys cirrata</span> individuals used in this study (main map) that includes the Brazilian southeastern-south oceanic extension delimited by the geographic coordinates from 23°05′ S–47°21′ W (Cabo de São Tomé, Rio de Janeiro) to 34°34′ S–52°01′ W (Chuí, Rio Grande do Sul).</p>
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<p>Linear discrimination function analysis plots displaying the spatial differences of <span class="html-italic">Urophicys cirrata</span> otoliths using (<b>A</b>) shape analysis, (<b>B</b>) elemental analysis, and (<b>C</b>) all techniques combined from the three sampling regions along the southeast-south Brazilian coast. North (white dot), Center (grey dot) and South (black dot) regions. The ellipses indicate 95% confidence intervals, with overlapping areas highlighting regions with greater similarities in terms of otolith characteristics. The dots represent individual fish.</p>
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<p>Elemental (detrended for Mg and Ba) concentrations in μg element/g calcium (Mean ± SD) in whole otoliths of <span class="html-italic">Urophicys cirrata</span> collected in the southeast-south Brazil for (<b>A</b>) Na:Ca, (<b>B</b>) Sr:Ca, (<b>C</b>) Mg:Ca, (<b>D</b>) Mn: Ca, (<b>E</b>) Co:Ca, (<b>F</b>) Ba:Ca, (<b>G</b>) Se:Ca, (<b>H</b>) As: Ca, (<b>I</b>) Li:Ca and (<b>J</b>) Rb:Ca. The regions marked with the different letters are significantly different from each other (One-Way ANOVAs, followed by the Tukey tests, <span class="html-italic">p</span> &lt; 0.05).</p>
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18 pages, 3501 KiB  
Article
The Impact of Ekman Pumping and Transport on Dosidicus gigas (Jumbo Flying Squid) Fishing Ground by Chinese Jiggers off the Coast of Peru
by Xingnan Fang, Xin Zhang, Xinjun Chen and Wei Yu
J. Mar. Sci. Eng. 2025, 13(2), 280; https://doi.org/10.3390/jmse13020280 - 31 Jan 2025
Viewed by 607
Abstract
Upwelling is often associated with high productivity, biodiversity, and fishery resource abundance. This study employed a generalized additive model (GAM) to analyze the effects of Ekman pumping and transport on the abundance and distribution of jumbo flying squid (Dosidicus gigas) using [...] Read more.
Upwelling is often associated with high productivity, biodiversity, and fishery resource abundance. This study employed a generalized additive model (GAM) to analyze the effects of Ekman pumping and transport on the abundance and distribution of jumbo flying squid (Dosidicus gigas) using wind field data and Chinese commercial fishing catch data off Peru from 2012 to 2020. The results indicate that the spatial distribution of Ekman pumping and transport exhibited significant monthly variation and exerted a considerable impact on the abundance and distribution of D. gigas. Ekman pumping fluctuated between 4.98 × 10−9 to 6.84 × 10−7 m/s, with the strongest upwelling effects observed from February to March and October to December. Ekman transport varied from 0.89 to 2.56 m3/s and peaked in August. The GAM results indicate that the catch per unit effort (CPUE) of D. gigas was significantly affected by Ekman pumping, while the latitudinal gravity centers (LATG) of D. gigas were significantly influenced by Ekman transport and chlorophyll-a concentration (Chl-a). Both hydrodynamic processes had a significant influence on Chl-a. Ekman pumping contributed greatly to upwelling formation, significantly increasing Chl-a concentration in the northern region, while strong Ekman transport pushed high-Chl-a coastal waters offshore in the central and southern regions when Ekman pumping was weaker, resulting in increasing offshore Chl-a concentrations. Furthermore, Chl-a concentration was significantly positively correlated with Ekman pumping after a two-month lag. An El Niño weakened the intensity of Ekman pumping, leading to notable declines in Chl-a concentration and D. gigas CPUE. These findings demonstrate that Ekman pumping and transport significantly influence the distribution of Chl-a, to which D. gigas is sensitive, influencing the abundance and distribution of this species off the coast of Peru. Full article
(This article belongs to the Section Marine Biology)
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<p>The monthly variations in Ekman transport and pumping and <span class="html-italic">D. gigas</span> CPUE and LATG off the coast of Peru. It is important to note that both transport and pumping are vector data. In the Southern Hemisphere, negative transport values indicate westward transport, while positive pumping values signify upward water movement, forming upwelling currents; negative values, on the other hand, indicate downwelling currents.</p>
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<p>The spatial distribution of Ekman pumping off the coast of Peru. Only positive values (upwelling) were retained and logarithmically transformed.</p>
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<p>The spatial distribution of Ekman transport off the coast of Peru, with the fishing locations overlaid.</p>
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<p>(<b>A</b>): Monthly variations in Ekman pumping and <span class="html-italic">D. gigas</span> CPUE from 2012 to 2020. (<b>B</b>): Monthly variations in Ekman transport intensity and <span class="html-italic">D. gigas</span> LATG from 2012 to 2020. (<b>C</b>): Cross-correlation coefficient between Ekman pumping and <span class="html-italic">D. gigas</span> CPUE. (<b>D</b>): Cross-correlation coefficient between Ekman transport and <span class="html-italic">D. gigas</span> LATG.</p>
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<p>(<b>A</b>): The monthly variations in Ekman pumping and offshore Chl-a concentration from 2012 to 2020. (<b>B</b>): The monthly variations in Chl-a concentration off the coast of Peru. (<b>C</b>): Cross-correlation coefficient between Ekman pumping and Chl-a concentration.</p>
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<p>The spatial distribution of Chl-a concentration off the coast of Peru, with the 0.2 and 0.6 mg/m<sup>3</sup> isopleths overlaid.</p>
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<p>Relationship between Ekman pumping, transport, and Chl-a and effect on <span class="html-italic">D. gigas</span> CPUE and LATG.</p>
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<p>The monthly variation in Ekman pumping, Chl-a concentration, and <span class="html-italic">D. gigas</span> CPUE off Peru from January to June in 2013 and 2016.</p>
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17 pages, 6267 KiB  
Article
Temporal and Spatial Variations in the Thermal Front in the Beibu Gulf in Winter
by Ruili Sun, Xindi Song, Shuangyan He, Peiliang Li, Yanzhen Gu and Chaojie Zhou
Remote Sens. 2025, 17(3), 469; https://doi.org/10.3390/rs17030469 - 29 Jan 2025
Viewed by 416
Abstract
Using satellite-observed data and reanalysis data, we studied the spatiotemporal variation characteristics and dynamic mechanisms of thermal fronts in the Beibu Gulf (TFIBG). TFIBG occur in December, reach their strongest point in January in the following year, and then gradually weaken until they [...] Read more.
Using satellite-observed data and reanalysis data, we studied the spatiotemporal variation characteristics and dynamic mechanisms of thermal fronts in the Beibu Gulf (TFIBG). TFIBG occur in December, reach their strongest point in January in the following year, and then gradually weaken until they completely disappear in May. Their formation is related to the bathymetry of the Beibu Gulf. In winter, the seawater in shallow-water areas (deep-water areas) cools down more (less), and Ekman currents concurrently transport warm water from the central basin of the Beibu Gulf to the west coast, which results in the formation of a thermal front at the junction of cold and warm water. The interannual variation in TFIBG intensity is related to the northeast monsoon. The strengthened (weakened) Ekman current caused by the northeast monsoon transports more (less) warm water from the central basin of the Beibu Gulf to the west coast, forming a strong (weak) thermal front at the junction of cold and warm water on an interannual scale. The upward trend of TFIBG intensity may be related to the regional heterogeneity of climate warming. This research systematically studied TFIBG, which will help improve people’s understanding of the thermal front in the South China Sea (SCS). Full article
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<p>Spatial distribution of the gradient magnitude (GM; °C/10 km; shading) in the South China Sea (SCS) in winter. (<b>a</b>) Spatial distribution of GM (°C/10 km; shading) and wind vectors (m/s; vectors). HI: Hainan Island; ICP: Indochina Peninsula; BI: Borneo Island; LI: Luzon Island; TI: Taiwan Island; SCS: South China Sea; BBG: Beibu Gulf. (<b>b</b>) Spatial distribution of the GM (°C/10 km; shading) and ocean current (m/s; vectors) in the Beibu Gulf. The black solid line represents the 0.2 °C/10 km contour line of the GM, which represents the outermost envelope of the thermal fronts in the Beibu Gulf (TFIBG); the red dotted line represents the 40 m isobath; the red solid line represents the southern boundary of the Beibu Gulf; the black five-pointed star represents the position of the maximum point of the GM.</p>
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<p>(<b>a</b>) Spatial distribution of the occurrence rate (%; shading) of the TFIBG; (<b>b</b>) spatial distribution of the sea surface temperature (SST) (°C; shading) and Ekman current (vectors; m/s) in the Beibu Gulf. The red dotted line and the red solid line represent the 40 m isobaths and the southern boundary of the Beibu Gulf, respectively. The black solid line represents the 0.2 °C/10 km contour line of the GM, and the black five-pointed star represents the position of the maximum point of the GM.</p>
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<p>Annual variation in TFIBG intensity and difference in SSTs between shallow-water areas and deep-water areas, which is <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>I</mi> <mi>n</mi> <mi>d</mi> <mi>e</mi> <mi>x</mi> </mrow> <mrow> <mi>d</mi> <mi>i</mi> <mi>f</mi> <mi>f</mi> </mrow> </msub> </mrow> </semantics></math> described in <a href="#sec2dot2dot3-remotesensing-17-00469" class="html-sec">Section 2.2.3</a>. The blue dotted line represents the linear trend variation through linear fitting. The upper and lower red lines represent the sum and difference of the mean and standard deviation, respectively.</p>
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<p>Annual variation in wintertime SSTs in the shallow-water areas and deep-water areas of the Beibu Gulf.</p>
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<p>Seasonal variation in the GM (°C/10 km; shading) in the Beibu Gulf. The black solid line represents the 0.2 °C/10 km contour line of the GM; the red dotted line represents the 40 m isobath; the red solid line represents the southern boundary of the Beibu Gulf; the black five-pointed star represents the position of the maximum point of the GM.</p>
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<p>Seasonal variation in intensity ((<b>a</b>); unit: °C/10 km) and area ((<b>b</b>); unit: grid points) of the TFIBG. The red solid line represents the difference in the SST (Unit: °C) between the shallow-water areas and deep-water areas of the Beibu Gulf. The area of the TFIBG is calculated by counting the number of data points surrounded by the TFIBG.</p>
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<p>Interannual variation in TFIBG intensity, which has removed the linear trend variation based on the method described in <a href="#sec2dot2-remotesensing-17-00469" class="html-sec">Section 2.2</a>. The upper and lower red lines represent the sum and difference of the mean and standard deviation, respectively.</p>
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<p>Correspondence between the GM and wind vectors on an interannual scale. (<b>a1</b>,<b>a2</b>) GM (shading; °C/10 km) and wind vector (vectors; m/s) in the strong and weak years of TFIBG intensity, respectively, and (<b>a3</b>) represents the difference between (<b>a1</b>,<b>a2</b>); (<b>b1</b>,<b>b2</b>) represent SST (shading; °C) and Ekman vectors (vectors; m/s) in the strong and weak years of TFIBG intensity, respectively, and (<b>b3</b>) represents the difference between (<b>b1</b>,<b>b2</b>); (<b>c1</b>,<b>c2</b>) represent the GM (shading; °C/10 km) and wind vector (vectors; m/s) in the strong and weak years of wind speed in the northern SCS, respectively, and (<b>c3</b>) represents the difference between (<b>c1</b>,<b>c2</b>). The black box in subfigure (<b>c1</b>) represents the northern region of the SCS. (<b>a1</b>,<b>a2</b>,<b>b1</b>,<b>b2</b>,<b>c1</b>,<b>c2</b>) have all removed the linear trend variations.</p>
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<p>Spatial distribution of the GM (°C/10 km) and sea surface temperature anomaly (SSTA) (°C) based on the trend variation in the TFIBG. (<b>a</b>,<b>b</b>) GMs in the first four years and the last four years of the period from 1982 to 2023, and their difference is shown in (<b>c</b>). (<b>d</b>–<b>f</b>) are the same as (<b>a</b>–<b>c</b>), respectively, but for the SSTA. The black solid lines represent zero contour lines.</p>
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<p>Seasonal variation in the freshwater flow of the Red River in Vietnam and rivers along the Guangxi coast of China [<a href="#B1-remotesensing-17-00469" class="html-bibr">1</a>].</p>
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30 pages, 2679 KiB  
Review
Land Governance in French-Speaking Africa: Comparative Analysis of Legal and Institutional Reforms for Sustainable Management of Community Lands
by Idiatou Bah and Kossivi Fabrice Dossa
Land 2025, 14(2), 276; https://doi.org/10.3390/land14020276 - 29 Jan 2025
Viewed by 559
Abstract
In July 2009, African leaders adopted the Declaration on Land Issues in Africa, reaffirming the commitment of African Union member states to effective land management. The declaration emphasizes the protection of land rights for all, with particular attention to women and marginalized groups. [...] Read more.
In July 2009, African leaders adopted the Declaration on Land Issues in Africa, reaffirming the commitment of African Union member states to effective land management. The declaration emphasizes the protection of land rights for all, with particular attention to women and marginalized groups. Land governance in Africa, which spans various aspects of society, remains a critical issue and is often a source of conflict and instability across the continent. This study examines the legal and institutional reforms of land governance in Francophone Africa (Benin, Burkina Faso, Ivory Coast, Mali, and Senegal), analyzing their objectives, outcomes, and the challenges associated with their implementation. In addition, this study highlights examples of both effective and ineffective reform implementations based on case studies from countries with notable successes (Ethiopia, Rwanda, Mauritius, Ghana, and Madagascar) and failures (South Africa and Zimbabwe). Finally, this study offers recommendations for improving sustainable land management while considering social, economic, political, and environmental dimensions. The methodology employed is based exclusively on a systematic review guided by the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P) approach, applied to the ROSES (Reporting Standards for Systematic Evidence Syntheses) protocol. This approach facilitated the selection of 57 relevant documents retrieved from databases such as Scopus, Web of Science, PubMed, and Google Scholar. Land governance in Francophone Africa varies significantly from country to country and cannot be comprehensively addressed in a study of this scope. Nevertheless, this research study identifies common challenges, opportunities, and measures that could inspire reflection in other countries. In several cases, administrative and customary authorities play central roles in land management. However, their overlapping responsibilities, often marked by corruption, extend procedures and exacerbate local conflicts. Full article
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<p>Analytical framework summarizing the relationships between the adopted concepts and theories.</p>
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<p>Summary of countries selected based on the relevance of reforms and results achieved in the countries.</p>
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<p>PRISMA diagram describing the document selection process.</p>
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<p>Map showing countries that have implemented land reforms.</p>
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<p>The challenges of land governance in French-speaking Africa. * represents any category of individuals regardless of gender (woman or man) or age (child or adult). Source: adapted from the proposal of Tsinda and Chikolwa [<a href="#B2-land-14-00276" class="html-bibr">2</a>].</p>
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<p>Map of successful and failed land reforms in Africa.</p>
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