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Search Results (93)

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21 pages, 2572 KiB  
Article
Land Cover Change and Fragmentation Within China’s Ramsar Sites
by Karen Kie Yan Chan, Zhehao Ren, Yufu Liu, Hang Song, Yuqi Bai and Bing Xu
Remote Sens. 2025, 17(5), 896; https://doi.org/10.3390/rs17050896 - 4 Mar 2025
Viewed by 180
Abstract
The Ramsar Convention is a global endeavor for the protection of wetlands. However, there is limited research on its efficacy in safeguarding China’s wetlands. This study aims to identify differences within Chinese Ramsar sites and their surrounding areas over the past three decades. [...] Read more.
The Ramsar Convention is a global endeavor for the protection of wetlands. However, there is limited research on its efficacy in safeguarding China’s wetlands. This study aims to identify differences within Chinese Ramsar sites and their surrounding areas over the past three decades. This assessment was conducted using extensive land cover maps created by ESA CCI (European Space Agency Climate Change Initiative) through the classification of remote sensing data using the LCCS (Land Cover Classification System) and other systems specified by the IPCC (Intergovernmental Panel on Climate Change), in addition to ecoregion maps. Three primary assessments were performed: detection of change in land covers, fragmentation using effective mesh size and driver analysis using a random forest classifier. The findings indicate significant land cover changes within both Ramsar sites and their surrounding areas. Tree cover and grasslands showed the largest decrease in land cover while flooded shrubs and herbaceous cover showed the largest increase within the Ramsar sites. In contrast, urban areas had the largest overall change in the surrounding areas, with twice the increase compared to the areas within the Ramsar sites. Most land cover changes within the Ramsar sites occurred closest to their boundaries where more human interactions occurred. It was also found that the fragmentation of flooded vegetation and water was also greater in areas surrounding the Ramsar sites in comparison to areas within the sites. This study also identified human activity as the primary driver of all observed changes, especially for wetlands. The differences observed indicate the effectiveness of Chinese Ramsar sites in wetlands protection and provide invaluable information for future strategic planning. Full article
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Graphical abstract

Graphical abstract
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<p>Ramsar Sites and Udvardy ecoregions in China.</p>
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<p>Methodology Flowchart.</p>
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<p>Changes in China’s mean effective mesh size of flooded vegetation, water and urban areas. Figure (<b>a</b>) shows the change in mean effective mesh size for Ramsar sites within China. Figure (<b>b</b>) shows the change in mean effective mesh size for the surrounding areas within China. Figure (<b>c-1</b>) shows the change in mean effective mesh size as a percentage of the initial value in both the Ramsar sites and surrounding areas for the various land covers. Figure (<b>c-2</b>) shows the change in mean effective mesh size as a percentage of the initial value in both Ramsar sites and its surrounding areas for the various land covers where the percentage change is above 10%.</p>
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<p>Changes in China’s total area of flooded vegetation, water and urban areas. Figure (<b>a</b>) shows the change in total area for Ramsar sites within the land covers. Figure (<b>b</b>) shows the change in total area for surrounding areas within the land covers. Figure (<b>c-1</b>) shows the change in total area as a percentage of the initial value in both Ramsar sites and its surrounding areas for the various land covers. (<b>c-2</b>) shows the change in total area as a percentage of the initial value in both Ramsar sites and its surrounding areas for the various land covers where the percentage change is above 4%.</p>
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<p>Temporal trends in feature importance in land cover lost or gained (Chinese Ramsar sites). Figure (<b>a</b>) shows the annual importance of various drivers over the 2000–2020 period. Figure (<b>b</b>) depicts stacked bar charts of the importance of drivers for each year from 2000 to 2020. The <span class="html-italic">X</span>-axis represents the year and the <span class="html-italic">Y</span>-axis represents the feature importance.</p>
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12 pages, 2068 KiB  
Article
How Do Waterbird Communities Respond to Multi-Scale Environmental Variables in the Satellite Wetlands Surrounding a Ramsar Site, Shengjin Lake in China?
by Chengrong Pan, Sheng Xu, Zhenbing Qian, Qichen Liao, Tongxinyu Wu and Guangyao Wang
Diversity 2025, 17(3), 176; https://doi.org/10.3390/d17030176 - 28 Feb 2025
Viewed by 150
Abstract
The global degradation and loss of natural wetlands are increasingly threatening wetland-dependent taxa, particularly waterbirds, which are highly vulnerable to environmental changes. In response to these threats, an increasing number of waterbirds are relocating to surrounding satellite wetlands in search of compensatory habitats. [...] Read more.
The global degradation and loss of natural wetlands are increasingly threatening wetland-dependent taxa, particularly waterbirds, which are highly vulnerable to environmental changes. In response to these threats, an increasing number of waterbirds are relocating to surrounding satellite wetlands in search of compensatory habitats. However, how waterbirds utilize these satellite wetlands and respond to varying environmental variables remain poorly understood. In the winter of 2022–2023 and summer of 2023, we conducted surveys on waterbird assemblages in 49 satellite wetlands of different types (reservoirs, aquaculture ponds, paddy fields and natural ponds) surrounding Shengjin Lake, a Ramsar site, and analyzed the relationship between community metrics and environmental factors. Large numbers of waterbirds were recorded during both summer and winter, including several threatened and nationally protected species. Species richness and number of individuals varied significantly across wetland types, with aquaculture ponds supporting the highest number of species and individuals. These two metrics showed positive correlations with wetland areas and landscape connectivity in both seasons. Species richness was also positively correlated with habitat diversity in summer. The number of individuals was positively correlated with habitat diversity and negatively with distance to human settlements, but the pattern was in contrast to that in winter. The Shannon–Wiener diversity index displayed a similar pattern among wetland types in winter but did not in summer. We detected no effects of environmental factors on the diversity index. Species composition differed markedly between wetland types in both seasons, especially between reservoirs and aquaculture ponds. To safeguard waterbird communities in the middle and lower reaches of the Yangtze River, we recommend integrating surrounding satellite wetlands into the regional wetland network and reducing human disturbances, particularly during the winter months. Full article
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<p>The study area and the surveyed satellite wetlands.</p>
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<p>The species richness, number of individuals and the Shannon–Wiener index in the satellite wetlands of different types surrounding Shengjin Lake during summer (<b>a</b>–<b>c</b>) and winter (<b>d</b>–<b>f</b>). Pairs sharing the same subscript letter indicate no significant differences.</p>
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<p>The ordination (<b>a</b>, summer; <b>b</b>, winter) from the non-metric multidimensional scaling (NMDS) of the communities among different types of satellite wetlands surrounding Shengjin Lake.</p>
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21 pages, 4689 KiB  
Article
Human Comfort and Environmental Sustainability Through Wetland Management: A Case Study of the Nawabganj Wetland, India
by Kirti Avishek, Pranav Dev Singh, Abhrankash Kanungo, Pankaj Kumar, Shamik Chakraborty, Suraj Kumar Singh, Shruti Kanga, Gowhar Meraj, Bhartendu Sajan and Saurabh Kumar Gupta
Earth 2025, 6(1), 14; https://doi.org/10.3390/earth6010014 - 27 Feb 2025
Viewed by 228
Abstract
Wetlands play a vital role in ecosystem sustainability by regulating atmospheric temperature and enhancing human comfort levels. This study aims to evaluate the temperature regulation function of the Nawabganj Wetland, Uttar Pradesh (India), a Ramsar site designated in January 2020, located in a [...] Read more.
Wetlands play a vital role in ecosystem sustainability by regulating atmospheric temperature and enhancing human comfort levels. This study aims to evaluate the temperature regulation function of the Nawabganj Wetland, Uttar Pradesh (India), a Ramsar site designated in January 2020, located in a semi-arid region vulnerable to increasing heat waves. The primary objective is to assess the wetland’s influence on microclimatic conditions and human thermal comfort across different seasons. Field surveys were conducted to collect temperature, humidity, wind speed, and vegetation data over three consecutive days in each season: 15–17 May 2019 (pre-monsoon), 12–14 August 2019 (monsoon), and 5–7 October 2019 (post-monsoon). The human comfort index was calculated using field data, while vegetation density and frequency were analyzed based on seasonal variations using the quadrant method. The results indicate that the wetland significantly contributes to local temperature reduction and improved comfort levels. Vegetation plays a crucial role in amplifying this cooling effect, particularly during summer when temperatures range from an average low of 23 °C to a high of 40 °C. In winter, temperatures vary between an average low of 6 °C and a high of 22 °C, with a consistently high humidity level of approximately 94%, further influencing microclimatic conditions. The extent of weed cover varied between 10% and 60% from December to May, reflecting seasonal fluctuations in water levels and wetland health. The study highlights the necessity of effective water and vegetation management, especially during summer, to sustain the wetland’s cooling capacity. Integrating wetland-based strategies into urban planning can enhance environmental sustainability, mitigate climate extremes, and improve human well-being in rapidly urbanizing regions. Full article
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<p>Geographic Overview: (<b>a</b>) India with Uttar Pradesh highlighted; (<b>b</b>) Unnao District in Uttar Pradesh; (<b>c</b>) Nawabganj Bird Sanctuary (Nawabganj Wetland) location. The white polygon is the wetland boundary.</p>
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<p>Temperature, Humidity, and Vegetation Study during Field Investigation.</p>
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<p>Pre-Monsoon Variability in Comfort Index (blue—comfortable; yellow—warm; red—hot, comfort levels).</p>
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<p>Monsoon Season Variability in Comfort Index (blue—comfortable; dark blue—cool; yellow—warm; red—hot, comfort levels).</p>
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<p>Post-Monsoon Variability in Comfort level (blue—comfortable; dark blue—cool, yellow—warm, comfort levels).</p>
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<p>Comparison of CIHB across seasons.</p>
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<p>Showing the impact of invasive species on wetland health.</p>
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<p>The extent of weeds (% of plots covered) in the Sanctuary.</p>
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<p>Relationship between CIHB and temperature, highlighting seasonal trends.</p>
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<p>Effects of climate variables on CIHB for each season.</p>
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20 pages, 11052 KiB  
Article
Remote Sensing-Based Assessment of the Long-Term Expansion of Shrimp Ponds Along the Coastal and Protected Areas of the Gulf of California
by David A. González-Rivas, Alfredo Ortega-Rubio and Felipe-Omar Tapia-Silva
Diversity 2025, 17(2), 99; https://doi.org/10.3390/d17020099 - 29 Jan 2025
Viewed by 611
Abstract
Shrimp farming has expanded over coastal areas in Mexico, particularly in the protected regions of Sonora and Sinaloa. Over the past 30 years, the economic activity associated with these farms has grown so much that the amount of shrimp produced in these ponds [...] Read more.
Shrimp farming has expanded over coastal areas in Mexico, particularly in the protected regions of Sonora and Sinaloa. Over the past 30 years, the economic activity associated with these farms has grown so much that the amount of shrimp produced in these ponds now exceeds that harvested from traditional shrimp fisheries. Establishing shrimp ponds has led to significant land changes. The construction of these ponds has fragmented local ecosystems, resulting in permanent alterations to areas such as floodplains, mangrove forests, and dunes, many of which are protected zones. This study aimed to investigate the long-term growth of shrimp farms from 1993 to 2022 and their impact on land-use changes in surrounding ecosystems, focusing on protected areas in the Sinaloa and Sonora coastal regions. We analyzed Landsat images using the Google Earth Engine platform. Our findings indicate that shrimp farm development over the past three decades has been extensive, with protected areas experiencing fragmentation and changes. Remote sensing and platforms like Google Earth Engine enable the effective monitoring of these spatiotemporal changes and their impacts, helping to identify the most affected areas. Full article
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<p>Study area. The numbers in the boxes represent the order in which we present the results for the Ramsar sites or Biosphere Reserves where we analyzed pond expansion. Boxes 1 to 3 do not cover the entire protected area, as we focus solely on the sections that contain shrimp ponds. The figure provides a close-up view of the pond areas surrounding the Biosphere Reserve Cajón del Diablo.</p>
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<p>Expansion of the shrimp pond area from 1993 to 2022 along the Gulf of California. The plot shows bars with the total area in Ha per year of the ponds in the region and overall accuracy bars in %.</p>
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<p>The long-term expansion of the shrimp ponds in the Biosphere Reserve Marismas Nacionales. The arrows indicate the locations of the new ponds constructed in the indicated year.</p>
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<p>The long-term expansion of shrimp ponds in the Biosphere Reserve Cajón del Diablo. The arrows indicate the locations of the new ponds constructed in the indicated year.</p>
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<p>The long-term expansion of shrimp ponds in the Complejo Lagunar Bahía Guásimas–Estero Lobos. The arrows indicate the locations of the new ponds constructed in the indicated year.</p>
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<p>The long-term expansion of shrimp ponds within the sites of Sistema Lagunar Agiabampo–Bacorehuis–Rio Fuerte Antiguo, Lagunas de Santa María–Topolobampo–Ohuira, and Sistema Lagunar San Ignacio–Navachiste–Macapule. The arrows indicate the locations of the new ponds constructed in the indicated year.</p>
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<p>The long-term expansion of shrimp ponds within the sites Laguna Playa Colorada Santa Maria Reforma and Ensenada Pabellones. The arrows indicate the locations of the new ponds constructed in the indicated year.</p>
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14 pages, 3172 KiB  
Article
A Study of Fish Community at the Obedska Bara Ramsar Site and Pathways to Sustainable Management
by Zlatko Nedić, Predrag Simonović, Vesna Đikanović, Raluca Nicolae, Dubravka Škraba Jurlina and Vera Nikolić
Sustainability 2025, 17(2), 749; https://doi.org/10.3390/su17020749 - 18 Jan 2025
Viewed by 785
Abstract
The study was conducted on the Obedska Bara Ramsar site at two localities, Krstonošića okno and canal Vok, to provide insight into fish community status by analysing fish biomass, biodiversity, and changes after restoration measures. A total of 685 fish samples were examined [...] Read more.
The study was conducted on the Obedska Bara Ramsar site at two localities, Krstonošića okno and canal Vok, to provide insight into fish community status by analysing fish biomass, biodiversity, and changes after restoration measures. A total of 685 fish samples were examined across four periods, from 2011 to 2023. Biodiversity index, relative biomass, and non-native species were analysed to evaluate the restoration measures’ influence. All parameters showed a negative trend until the restoration works were implemented, after which they increased. This study also provides recommendations to improve the site considering the Mission Restore our Ocean and Waters by 2030. Full article
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<p>Location of the “Obedska Bara” Special Nature Reserve within the DaWetRest project: Main Demo-location were active restoration measures will be conducted within the DaWetRest activities, Pilot Sites-location of interested on the Danube River Bank, Sibling Locations-location of interested belonging to the Danube River Basin [<a href="#B17-sustainability-17-00749" class="html-bibr">17</a>,<a href="#B18-sustainability-17-00749" class="html-bibr">18</a>].</p>
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<p>Position of sampling localities at the Obedska Bara Special Nature Reserve (Source: Copernicus Browser, modified by authors).</p>
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<p>Graphical overview on frequency of fish species in the total fish sample per sampling years in <span class="html-italic">Krstonošića okno</span> (<b>left</b>) and <span class="html-italic">Vok</span> (<b>right</b>).</p>
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<p>Biomass dynamics of native and non-native fish across the study period.</p>
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<p>Shannon index of biodiversity: comparison between the years of investigation (<b>left</b>) and comparison between localities (<b>right</b>).</p>
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<p><b>Left</b>: Relative biomass through the investigation period Friedman ANOVA (N = 9, df = 3) = 1.933333 <span class="html-italic">p</span> &gt; 0.05; <b>Right</b>: relative annual production through the investigation period (Friedman ANOVA (N = 2, df = 3) = 6.000000 <span class="html-italic">p</span> &gt; 0.05).</p>
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<p>Differences in relative biomass over the years of investigation.</p>
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25 pages, 8136 KiB  
Article
An Assessment of Seasonal Water Quality in Phewa Lake, Nepal, by Integrating Geochemical Indices and Statistical Techniques: A Sustainable Approach
by Rojesh Timalsina, Surendra Acharya, Bojan Đurin, Mahesh Prasad Awasthi, Ramesh Raj Pant, Ganesh Raj Joshi, Rejina Maskey Byanju, Khim Prasad Panthi, Susan Joshi, Amit Kumar, Tarun Kumar Thakur and Ahmed M. Saqr
Water 2025, 17(2), 238; https://doi.org/10.3390/w17020238 - 16 Jan 2025
Cited by 2 | Viewed by 1037
Abstract
Lakes are vital freshwater ecosystems that sustain biodiversity, support livelihoods, and drive socio-economic growth globally. However, they face escalating threats from anthropogenic activities, including urbanization, agricultural runoff, and pollution, which are exacerbated by climate change. Phewa Lake in Nepal was selected for this [...] Read more.
Lakes are vital freshwater ecosystems that sustain biodiversity, support livelihoods, and drive socio-economic growth globally. However, they face escalating threats from anthropogenic activities, including urbanization, agricultural runoff, and pollution, which are exacerbated by climate change. Phewa Lake in Nepal was selected for this study due to its increasing rates of nutrient enrichment, sedimentation, and pollution. This study evaluated seasonal and spatial water quality variations within the lake by analyzing water samples from 30 sites during the pre-monsoon and post-monsoon seasons. Twenty physicochemical parameters, including the potential of hydrogen (pH), dissolved oxygen (DO), electrical conductivity (EC), and major ions, e.g., calcium (Ca2+), magnesium (Mg2+), sodium (Na+), potassium (K+), bicarbonate (HCO3), chloride (Cl), sulfate (SO42−), nitrate (NO3), phosphate (PO43−), and ammonium (NH4+), were measured. The average pH ranged from 8.06 (pre-monsoon) to 8.24 (post-monsoon), reflecting dilution from monsoon rains and increased carbonate runoff. Furthermore, the DO levels in Phewa Lake averaged 7.46 mg/L (pre-monsoon) and 8.62 mg/L (post-monsoon), with higher values observed post-monsoon due to rainfall-driven oxygenation. Nutrient concentrations were shown to be elevated, with the nitrate concentration reaching 2.31 mg/L during the pre-monsoon period, and the phosphate concentration peaking at 0.15 mg/L in the post-monsoon period, particularly near agricultural runoff zones. The dominant cations in the lake’s hydrochemistry were Ca2+ and Mg2+, while HCO3 was the primary anion, reflecting the influence of carbonate weathering. Cluster analysis identified the lake outlet as a high-pollution zone, with the total dissolved solids (TDS) reaching 108–135 mg/L. Additionally, Principal component analysis revealed agricultural runoff and sewage effluents as the main pollution sources. Seasonal dynamics highlighted monsoon-induced dilution and pre-monsoon pollution peaks. These findings underscore the need for targeted pollution control and eutrophication management. By aligning with the sustainable development goals (SDGs) relevant to clean water and climate action, this research provides a replicable framework for sustainable lake management that is applicable to freshwater ecosystems worldwide. Full article
(This article belongs to the Special Issue Aquatic Ecosystem: Problems and Benefits—2nd Edition)
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<p>Study area map showing sampling sites in Phewa Lake, Nepal.</p>
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<p>Methodological steps of this research.</p>
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<p>Physicochemical parameters for Phewa Lake, Nepal, during pre- and post-monsoon periods.</p>
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<p>Principal components of the loading plot for Phewa Lake, Nepal. The figure illustrates the relationships among various water quality parameters using different symbols and colors. The red circle represents the chloride ion (Cl<sup>−</sup>), while blue squares denote other ions such as sulfate (SO<sub>4</sub><sup>2−</sup>), nitrate (NO<sub>3</sub><sup>−</sup>), ammonium (NH<sub>4</sub><sup>+</sup>), sodium (Na<sup>+</sup>), potassium (K<sup>+</sup>), and phosphate (PO<sub>4</sub><sup>3−</sup>). Green triangles represent physicochemical parameters, including electrical conductivity (EC), total dissolved solids (TDS), magnesium (Mg<sup>2+</sup>), calcium (Ca<sup>2+</sup>), and bicarbonate (HCO<sub>3</sub><sup>−</sup>). The background planes correspond to the projections of the data points onto the component 1 (PC1), component 2 (PC2), and component 3 (PC3) planes, respectively, derived from a dimensionality reduction technique, i.e., principal component analysis (PCA).</p>
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<p>Piper diagram characterizing the hydrochemical facies for Phewa Lake, Nepal. Note: Region 1 corresponds to waters dominated by alkaline earths (Ca<sup>2+</sup> + Mg<sup>2+</sup>) and weak acids (HCO<sub>3</sub><sup>−</sup>), typically reflecting carbonate weathering. Region 2 denotes waters with alkaline earths and strong acids (Cl<sup>−</sup> + SO<sub>4</sub><sup>2−</sup>), often linked to gypsum dissolution or anthropogenic inputs. Region 3 represents mixed waters without a dominant ion type, suggesting blending of sources. Region 4 includes waters dominated by alkali metals (Na<sup>+</sup> + K<sup>+</sup>) and weak acids, indicating silicate weathering or ion exchange. Region 5 features waters rich in alkali metals and strong acids, possibly due to evaporite dissolution or industrial contamination. Lastly, and Region 6 represents transitional waters with no clear dominance, indicating complex geochemical processes or mixing.</p>
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<p>Piper diagram showing dominant hydrochemical facies for Phewa Lake compared to Lesser Himalayan freshwater lakes in Nepal. Note: Region 1 corresponds to waters dominated by alkaline earths (Ca<sup>2+</sup> + Mg<sup>2+</sup>) and weak acids (HCO<sub>3</sub><sup>−</sup>), typically reflecting carbonate weathering. Region 2 denotes waters with alkaline earths and strong acids (Cl<sup>−</sup> + SO<sub>4</sub><sup>2−</sup>), often linked to gypsum dissolution or anthropogenic inputs. Region 3 represents mixed waters without a dominant ion type, suggesting blending of sources. Region 4 includes waters dominated by alkali metals (Na<sup>+</sup> + K<sup>+</sup>) and weak acids, indicating silicate weathering or ion exchange. Region 5 features waters rich in alkali metals and strong acids, possibly due to evaporite dissolution or industrial contamination. Lastly, and Region 6 represents transitional waters with no clear dominance, indicating complex geochemical processes or mixing.</p>
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<p>Gibbs diagram showing (<b>a</b>) TDS vs. Na<sup>+</sup>/ (Na<sup>+</sup> + Ca<sup>2+</sup>) and (<b>b</b>) TDS vs. Cl<sup>−</sup>/(Cl<sup>−</sup> + HCO<sub>3</sub><sup>−</sup>) for Phewa Lake, Nepal.</p>
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<p>Variation in weight ratio of (<b>a</b>) Na<sup>+</sup>/(Na<sup>+</sup> + Ca<sup>2+</sup>) and (<b>b</b>) Cl<sup>−</sup>/(Cl<sup>−</sup> + HCO<sub>3</sub><sup>−</sup>), as a function of TDS, in Gibbs diagram for Phewa Lake compared to Lesser Himalayan freshwater lakes in Nepal.</p>
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<p>Mixing diagram for Phewa Lake, showing Na<sup>+</sup>-normalized molar ratios of (<b>a</b>) Ca<sup>2+</sup> vs. HCO<sub>3</sub><sup>−</sup>, and (<b>b</b>) Ca<sup>2+</sup> vs. Mg<sup>2+</sup>.</p>
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<p>Mixing diagram showing Na<sup>+</sup>-normalized molar ratios of (<b>a</b>) Ca<sup>2+</sup> vs. HCO<sub>3</sub><sup>−</sup>, and (<b>b</b>) Ca<sup>2+</sup> vs. Mg<sup>2+</sup>, for Phewa Lake, compared to lesser Himalayan freshwater lakes, in Nepal.</p>
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<p>Quantitative correlation of sustainable management strategy (SMS) with sustainable development goals (SDGs) for Phewa Lake, Nepal.</p>
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26 pages, 7831 KiB  
Article
Paleolimnology and Natural Versus Anthropogenic Influx During the Late Holocene from Vembanad Wetland, Ramsar Site, Kerala, India
by Pooja Tiwari, Biswajeet Thakur, Purnima Srivastava, Sanjay Kumar Singh Gahlaud, Ravi Bhusan and Rajesh Agnihotri
Quaternary 2025, 8(1), 3; https://doi.org/10.3390/quat8010003 - 13 Jan 2025
Viewed by 926
Abstract
A multi-proxy study of diatoms, palynofacies, and grain size was conducted on a 100 cm core from Arookutty, Vembanad wetland, Kerala, India, to reconstruct paleolimnological changes during the late Holocene, with a focus on natural versus anthropogenic influences. Four distinct depositional phases, from [...] Read more.
A multi-proxy study of diatoms, palynofacies, and grain size was conducted on a 100 cm core from Arookutty, Vembanad wetland, Kerala, India, to reconstruct paleolimnological changes during the late Holocene, with a focus on natural versus anthropogenic influences. Four distinct depositional phases, from ca. 500 BCE to ca. 400 CE, were identified, aligning with the Roman Warm Period (RWP). The period from ca. 500 BCE to ca. 450 BCE shows high freshwater and marine planktic diatoms, augmented by silicoflagellates and terrestrial organic matter, with a low dinocyst presence, suggesting a dynamic aquatic environment. The period from ca. 450 BCE to ca. 350 BCE is marked by a high sand content, indicating significant runoff and terrestrial influx, along with increased freshwater and marine planktic diatoms and evidence of human activity in the area. Similarly, the period from ca. 350 BCE to ca. 50 CE is characterized by high sand content and strong anthropogenic influences, with a rise in silicoflagellates, pointing to rising sea levels and high monsoonal precipitation. The period from ca. 50 CE to ca. 400 CE initially shows a decrease in sand and an increase in mud, reflecting a weakening southwest monsoon, likely due to solar variations. However, from ca. 300 CE to ca. 400 CE, sand content rises again, accompanied by high terrestrial influx and dinocysts, while silicoflagellates diminish completely. Thus, despite the dominance of the RWP, the coastal region experienced an extended period of reduced monsoonal activity for a particular span. Full article
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<p>(<b>A</b>) Location map showing Arookutty in Vembanad wetland, Ramsar site, and (<b>B</b>) a closer view of the core location. <a href="#quaternary-08-00003-f001" class="html-fig">Figure 1</a> has been created using ArcGIS 10.8.</p>
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<p>Nearest CRU TS 4.08 grid-box data for 11.25 N, 75.75 E gridded climate data point, 1901–2021, showing annual precipitation, temperature, and vapor pressure around the Arookutty core, Vembanad wetland, Kerala, India (source: [<a href="#B75-quaternary-08-00003" class="html-bibr">75</a>] Harris et al., 2020).</p>
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<p>Bayesian age–depth model of the ANL, constructed using the R package rbacon (Blaauw and Christen, 2011 [<a href="#B83-quaternary-08-00003" class="html-bibr">83</a>]). The blue bars indicate the <sup>14</sup>C age distribution, whereas the greyscale of the line graph reflects the likelihood; the dotted red line follows the mean ages. (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article).</p>
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<p>Range chart distribution and CONISS cluster analysis of diatoms in Arookutty core, Vembanad wetland, Kerala, India.</p>
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<p>Frequency distribution chart and CONISS cluster analysis of the sum of diatoms groups (freshwater planktic, freshwater benthic, marine planktic, marine benthic), Ascidian spicules, and silicoflagellates in Arookutty core, Vembanad wetland, Kerala, India.</p>
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<p>Frequency distribution and CONISS cluster analysis of palynofacies of Arookutty core, Vembanad wetland, Kerala, India.</p>
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<p>Composition, distribution and CONISS cluster analysis of grain size from Arookutty core, Vembanad wetland, Kerala, India.</p>
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<p>(<b>A</b>–<b>D</b>) (<b>a</b>–<b>f</b>) Grain size statistics of the Arookutty (AR) Arookutty core, Vembanad wetland, Kerala, India in four zones (GSZ-I to GSZ-IV). The graph depicts the bivariate plots of mean (ϕ) versus sorting (ϕ), skewness (ϕ), and kurtosis (ϕ), followed by sorting (ϕ) versus skewness (ϕ) and kurtosis (ϕ), and skewness (ϕ) versus and kurtosis (ϕ).</p>
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<p>(<b>A</b>) Principal component analysis (PCA) of palynofacies and grain size for Arookutty core, Vembanad wetland, Kerala, India, (<b>B</b>) principal component analysis (PCA) of diatoms and grain size for Arookutty core, Vembanad wetland, Kerala, India.</p>
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<p>Ternary plots of palynofacies for paleoenvironmental interpretations (after [<a href="#B125-quaternary-08-00003" class="html-bibr">125</a>] Tyson, 1993).</p>
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14 pages, 1947 KiB  
Article
Effects of Surrounding Landscape Context on Threatened Wetland Bird Diversity at the Global Scale
by Lihe Li, Yiwen Liu, Haokun Wang, Yemeng Zhu, Yuxiang Li, Chi Xu and Shuqing N. Teng
Diversity 2024, 16(12), 738; https://doi.org/10.3390/d16120738 - 29 Nov 2024
Viewed by 706
Abstract
Wetland birds are undergoing severe population declines globally, primarily attributed to extensive wetland loss and degradation. The attributes of the landscape surrounding a focal locality, referred to as ‘landscape context’, have been shown to influence the diversity of wetland birds living in the [...] Read more.
Wetland birds are undergoing severe population declines globally, primarily attributed to extensive wetland loss and degradation. The attributes of the landscape surrounding a focal locality, referred to as ‘landscape context’, have been shown to influence the diversity of wetland birds living in the given area. At a global scale, however, the landscape context effects on wetland birds have not been assessed. Here, we assessed the effect of landscape context on the richness of threatened bird species recorded in 334 inland Ramsar wetland sites across the globe. Generalized linear mixed models were used to quantify the relationship between the richness of these bird species and the landscape context of the Ramsar sites. Variation partitioning was used to quantify the independent explanatory power of landscape context for comparison between migratory and non-migratory species. The overall and independent explanatory power of landscape context for the global-scale richness pattern of threatened avifauna reached ca. 17% and 3%, respectively, with the scale of peak explanatory power being 5 times the area of a focal Ramsar site. The independent explanatory power of landscape context was significantly higher for migratory species (ca. 30%) than for non-migratory ones (ca. 3%). Among the landscape context metrics, wetland habitat loss and fragmentation were most strongly associated with the global-scale richness of threatened migrant species at Ramsar sites. Our results suggest that even at macroecological scales, landscape context contributes to shaping the richness pattern of threatened bird species, especially for migrants. These findings provide useful insight for managing landscapes surrounding Ramsar sites, in order to improve conservation effectiveness for wetland birds worldwide. Full article
(This article belongs to the Section Biogeography and Macroecology)
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<p>(<b>a</b>) Inland natural wetlands of 334 filtered Ramsar sites grouped by biome. (<b>b</b>) The landscape context was measured at multiple spatial scales using buffering analysis. The areas of nested buffer zones were 1, 5, 10, 15 and 20 times the area of the Ramsar site. The attributes of landscape context were quantified within each buffer zone (note that Ramsar sites were excluded).</p>
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<p>(<b>a</b>) The explanatory power and (<b>b</b>) the independent explanatory power of landscape context (solid lines) and landscapes within wetland (dashed lines) for the species richness of threatened avifauna. The attributes of landscape context were quantified at multiple spatial scales, i.e., 1, 5, 10, 15 and 20 times the area of each Ramsar site.</p>
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<p>(<b>a</b>) The explanatory power and (<b>b</b>) the independent explanatory power of landscape context (solid lines) and landscapes within wetland (dashed lines) for the richness of threatened migratory (blue) and non-migratory (red) bird species. The attributes of landscape context were quantified at multiple spatial scales, i.e., 1, 5, 10, 15 and 20 times the area of each Ramsar site.</p>
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<p>Standardized regression coefficients at the scale of peak explanatory power (i.e., the spatial scale of 5 times the area of each Ramsar site), reflecting the relative impact of each landscape context variable on the species richness of threatened migratory wetland birds. Red points denote the estimated expectation of a coefficient, and error bars denote the standard error of the estimate. See <a href="#app1-diversity-16-00738" class="html-app">Tables S1–S3</a> for more information on the output from the GLMMs after model selection. The values shown in this graph are identical to those in the column “Spatial scale (times) 5” under Migratory in <a href="#app1-diversity-16-00738" class="html-app">Table S1</a>.</p>
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<p>Variation partitioning based on generalized linear mixed models: the total variation in the richness of threatened migratory bird species consists of three independent parts (i.e., purely explained by landscapes within wetland, landscape context or macro-environmental contexts) and four overlapping parts (i.e., explanation shared among the three variable sets). The attributes of landscape context were quantified at multiple spatial scales, i.e., 1, 5, 10, 15 and 20 times the area of each Ramsar site.</p>
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23 pages, 8057 KiB  
Article
Hydrochemical Dynamics and Water Quality Assessment of the Ramsar-Listed Ghodaghodi Lake Complex: Unveiling the Water-Environment Nexus
by Ganga Paudel, Ramesh Raj Pant, Tark Raj Joshi, Ahmed M. Saqr, Bojan Đurin, Vlado Cetl, Pramod N. Kamble and Kiran Bishwakarma
Water 2024, 16(23), 3373; https://doi.org/10.3390/w16233373 - 23 Nov 2024
Cited by 6 | Viewed by 1453
Abstract
Human activities and climate change increasingly threaten wetlands worldwide, yet their hydrochemical properties and water quality are often inadequately studied. This research focused on the Ghodaghodi Lake Complex (GLC) and associated lakes in Nepal, a Ramsar-listed site known for its biodiversity and ecological [...] Read more.
Human activities and climate change increasingly threaten wetlands worldwide, yet their hydrochemical properties and water quality are often inadequately studied. This research focused on the Ghodaghodi Lake Complex (GLC) and associated lakes in Nepal, a Ramsar-listed site known for its biodiversity and ecological significance. The study was conducted to assess seasonal water quality, investigate the factors influencing hydrochemistry, and assess the lakes’ suitability for irrigation. Forty-nine water samples were collected from the GLC in pre-monsoon and post-monsoon periods. Nineteen physicochemical parameters, such as dissolved oxygen (DO), total dissolved solids (TDS), and major ions (calcium ‘Ca2+’, magnesium ‘Mg2+’, and bicarbonate ‘HCO3’), were analyzed using standard on-site and laboratory methods. Statistical methods, including analysis of variance (ANOVA), T-tests, and hydrochemical diagrams, e.g., Piper, were adopted to explore spatial and seasonal variations in water quality, revealing significant fluctuations in key hydrochemical indicators. Results showed marked seasonal differences, with pre-monsoon TDS levels averaging 143.1 mg/L compared to 78.9 mg/L post-monsoon, underscoring evaporation and dilution effects. The hydrochemical analysis identified Ca2+-HCO3 as the dominant water type, highlighting the influence of carbonate weathering on GLC’s water composition. Gibbs, mixing, and Piper diagram analysis supported these findings, confirming the predominance of HCO3, with Ca2+ and Mg2+ as the main cations. Additionally, sodium adsorption ratio (SAR) values were consistently below 1, confirming excellent irrigation quality. These findings provided critical data for policymakers and stakeholders, supporting sustainable wetland management and aligning with the United Nations’ Sustainable Development Goals relevant to environmental conservation, i.e., clean water and life on land. Full article
(This article belongs to the Special Issue Water Quality Assessment of River Basins)
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<p>Study area region illustrating Ghodaghodi Lake and its adjacent lakes, including sampling sites: (<b>i</b>) A global map illustrating the study area, marked by a red polygon; (<b>ii</b>) A map of the Kailali District highlighting Ghodaghodi Municipality in yellow and the Ramsar site encompassing the Ghodaghodi Lake complex (GLC) in red; (<b>iii</b>) A map of the GLC-Ramsar site, depicting the locations of Ghodaghodi Lake and its associated lakes, classified into Section ‘A’ and Section ‘B’ with delineations; (<b>iv</b>) Locations of Bichka Chaita, Budhiya Nakhrod, Ramphal, and Sanopokhari Lakes along with their respective sampling sites BC1–BC5, BN1–BN5, R1–R5, and SP1–SP5, and (<b>v</b>) Locations of Ghodaghodi and Ojahuwa Lakes with their corresponding sampling sites G1–G24 and OH1–OH5.</p>
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<p>Land use/land cover map of the study area region illustrating different categories adjacent to sampling points of the lakes.</p>
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<p>Piper diagram for the classification of lake water types in Ghodaghodi and its associated lakes (Ojahuwa, Bichka Chaita, and Sanopokhari) during the pre-monsoon season, featuring three plots: anionic, cationic, and diamond plots.</p>
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<p>Piper diagram for the classification of lake water types in Ghodaghodi and its related lakes (Ojahuwa, Bichka Chaita, Budhiya Nakhrod, Ramphal, and Sanopokhari) during the post-monsoon season, featuring three plots: anionic, cationic, and diamond plots.</p>
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<p>Gibbs diagrams illustrating the fluctuation of the weight ratio of Na<sup>+</sup>/(Na<sup>+</sup> + Ca<sup>2+</sup>) and Cl<sup>−</sup>/(Cl<sup>−</sup> + HCO<sup>3−</sup>) concerning TDS (pre-monsoon) throughout all examined lakes (Ghodaghodi, Ojahuwa, Bichka Chaita, and Sanopokhari).</p>
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<p>Gibbs diagrams illustrating the fluctuation of the weight ratio of Na<sup>+</sup>/(Na<sup>+</sup> + Ca<sup>2+</sup>) and Cl<sup>−</sup>/(Cl<sup>−</sup> + HCO<sup>3−</sup>) concerning TDS (post-monsoon) throughout all examined lakes (Ghodaghodi, Ojahuwa, Bichka Chaita, Budhiya Nakhrod, Ramphal, and Sanopokhari).</p>
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<p>Mixing diagrams illustrating the roles of carbonate, silicate, and evaporates in the hydrochemistry of Ghodaghodi and associated lakes (Ojahuwa, Bichka Chaita, and Sanopokhari) during the pre-monsoon season. (<b>a</b>) represents HCO<sub>3</sub><sup>−</sup>/Na<sup>+</sup> vs Ca<sup>2+</sup>/Na<sup>+</sup> and (<b>b</b>) represents Mg<sup>2+</sup>/Na<sup>+</sup> vs Ca<sup>2+</sup>/Na<sup>+</sup> of mixing diagram.</p>
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<p>Mixing diagrams illustrating the roles of carbonate, silicate, and evaporates in the hydrochemistry of Ghodaghodi and its associated lakes (Ojahuwa, Bichka Chaita, Budhiya Nakhrod, Ramphal, and Sanopokhari) during the post-monsoon season. (<b>a</b>) represents HCO<sub>3</sub><sup>−</sup>/Na<sup>+</sup> vs Ca<sup>2+</sup>/Na<sup>+</sup> and (<b>b</b>) represents Mg<sup>2+</sup>/Na<sup>+</sup> vs Ca<sup>2+</sup>/Na<sup>+</sup> of mixing diagram.</p>
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<p>Wilcox diagram depicting the irrigation water quality based on SAR and EC for Ghodaghodi Lake and three related lakes (Ojahuwa, Bichka Chaita, and Sanopokhari) during the pre-monsoon period.</p>
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<p>Wilcox diagram depicting the irrigation water quality based on SAR and EC for Ghodaghodi Lake and five related lakes (Ojahuwa, Bichka Chaita, Sanopokhari, Budhiya Nakhrod, and Ramphal) during the post-monsoon period.</p>
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<p>Hydrochemical dynamics, sustainable development goals (SDGs) impact, and conservation strategies for Ghodaghodi Lake Complex (GLC).</p>
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27 pages, 30189 KiB  
Article
A Novel Approach for Ex Situ Water Quality Monitoring Using the Google Earth Engine and Spectral Indices in Chilika Lake, Odisha, India
by Subhasmita Das, Debabrata Nandi, Rakesh Ranjan Thakur, Dillip Kumar Bera, Duryadhan Behera, Bojan Đurin and Vlado Cetl
ISPRS Int. J. Geo-Inf. 2024, 13(11), 381; https://doi.org/10.3390/ijgi13110381 - 30 Oct 2024
Cited by 1 | Viewed by 2296
Abstract
Chilika Lake, a RAMSAR site, is an environmentally and ecologically pivotal coastal lagoon in India facing significant emerging environmental challenges due to anthropogenic activities and natural processes. Traditional in situ water quality monitoring methods are often labor intensive and time consuming. This study [...] Read more.
Chilika Lake, a RAMSAR site, is an environmentally and ecologically pivotal coastal lagoon in India facing significant emerging environmental challenges due to anthropogenic activities and natural processes. Traditional in situ water quality monitoring methods are often labor intensive and time consuming. This study presents a novel approach for ex situ water quality monitoring in Chilika Lake, located on the east coast of India, utilizing Google Earth Engine (GEE) and spectral indices, such as the Normalized Difference Turbidity Index (NDTI), Normalized Difference Chlorophyll Index (NDCI), and total suspended solids (TSS). The methodology involves the integration of multi-temporal satellite imagery and advanced spectral indices to assess key water quality parameters, such as turbidity, chlorophyll-a concentration, and suspended sediments. The NDTI value in Chilika Lake increased from 2019 to 2021, and the Automatic Water Extraction Index (AWEI) method estimated the TSS concentration. The results demonstrate the effectiveness of this approach in providing accurate and comprehensive water quality assessments, which are crucial for the sustainable management of Chilika Lake. Maps and visualization are presented using GIS software. This study can effectively detect floating algal blooms, identify pollution sources, and determine environmental changes over time. Developing intuitive dashboards and visualization tools can help stakeholders engage with data-driven insights, increase community participation in conservation, and identify pollution sources. Full article
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<p>Study area.</p>
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<p>Flow chart of the methodology.</p>
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<p>JavaScript code for NDTI calculation.</p>
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<p>JavaScript code for NDTI visualization.</p>
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<p>JavaScript code for NDCI calculation.</p>
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<p>JavaScript code for NDCI visualization.</p>
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<p>JavaScript code for TSS calculation.</p>
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<p>JavaScript code for TSS visualization.</p>
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<p>Winter season NDTI map and chart (2019/2021/2023).</p>
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<p>Winter season NDCI map and chart (2019/2021/2023).</p>
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<p>Winter season TSS map and chart (2019/2021/2023).</p>
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<p>Pre-monsoon season NDTI map and chart (2019/2021/2023).</p>
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<p>Pre-monsoon season NDCI map and chart (2019/2021/2023).</p>
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<p>Pre-monsoon season TSS map and chart (2019/2021/2023).</p>
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<p>Monsoon season NDTI map and chart (2019/2021/2023).</p>
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<p>Monsoon season NDCI map and chart (2019/2021/2023).</p>
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<p>Monsoon season TSS map and chart (2019/2021/2023).</p>
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<p>Post-monsoon season NDTI map and chart (2019/2021/2023).</p>
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<p>Post-monsoon season NDCI map and chart.</p>
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<p>Post-monsoon season TSS map and chart (2019/2021/2023).</p>
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22 pages, 12296 KiB  
Article
Morphological Patterns and Drivers of Urban Growth on Africa’s Wetland Landscapes: Insights from the Densu Delta Ramsar Site, Ghana
by Charles Yaw Oduro, Prince Aboagye Anokye and Michael Ayertey Nanor
Sustainability 2024, 16(15), 6372; https://doi.org/10.3390/su16156372 - 25 Jul 2024
Viewed by 1378
Abstract
The morphological aspects of urban growth on wetlands in Africa are under-researched. Using the Densu Delta Ramsar site in Accra, Ghana, as a case study, this paper analyses the morphological patterns and drivers of urban growth and its impact on wetlands. Data were [...] Read more.
The morphological aspects of urban growth on wetlands in Africa are under-researched. Using the Densu Delta Ramsar site in Accra, Ghana, as a case study, this paper analyses the morphological patterns and drivers of urban growth and its impact on wetlands. Data were obtained through remote-sensing, ground truthing, and limited key informant interviews. The analysis combined land use/land cover, building coverage and spatial autoregressive and ordinary least square regression techniques with the aid of ArcGIS version 10.8.2, QGIS version 3.34 and STATA version 17 software. The findings reveal that urban growth at the Ramsar site follows discernible spatial patterns consistent with the spreading pancake, village magnet, and ribbon development models. However, the primary force behind these patterns is growing demand for land to meet housing needs, aided by the failure of state institutions to perform their land use control and wetland protection functions. To achieve sustainable urban development, there is an urgent need to ensure effective wetland management by enforcing existing land use, development control, and wetland protection measures. This calls for the strengthening, resourcing, and closer collaboration of the relationships between the various state agencies responsible for urban planning and wetland management. There is also the need to engage and sensitise political leaders to increase their commitment to implementing wetland protection and pro-environmental policies. Full article
(This article belongs to the Section Sustainable Urban and Rural Development)
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<p>Ghana’s urban and rural population trends, 1921–2050. Source: data compiled from [<a href="#B20-sustainability-16-06372" class="html-bibr">20</a>,<a href="#B21-sustainability-16-06372" class="html-bibr">21</a>,<a href="#B22-sustainability-16-06372" class="html-bibr">22</a>,<a href="#B23-sustainability-16-06372" class="html-bibr">23</a>,<a href="#B24-sustainability-16-06372" class="html-bibr">24</a>,<a href="#B25-sustainability-16-06372" class="html-bibr">25</a>].</p>
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<p>Patterns of horizontal urban growth. Source: Authors’ construct.</p>
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<p>Physical features of the Densu Delta Ramsar site. Source: Authors’ construct.</p>
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<p>Landcover change at the Densu Delta Ramsar site, 2003–2023. Source: Authors’ construct.</p>
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<p>Trend of landcover change at the Densu Delta Ramsar site, 2003–2023. Source: Authors’ construct.</p>
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<p>Total building coverage, 2013–2032. Source: Authors’ construct.</p>
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<p>Spatial pattern of ABCRs, 2013–2023. Source: Authors’ construct.</p>
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<p>Absolute change in ABCR, 2013–2023. Source: Authors’ construct.</p>
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<p>Percentage change in ABCRs. Source: Authors’ construct.</p>
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18 pages, 4599 KiB  
Article
Satellite Long-Term Monitoring of Wetland Ecosystem Functioning in Ramsar Sites for Their Sustainable Management
by Quentin Demarquet, Sébastien Rapinel, Damien Arvor, Samuel Corgne and Laurence Hubert-Moy
Sustainability 2024, 16(15), 6301; https://doi.org/10.3390/su16156301 - 23 Jul 2024
Cited by 1 | Viewed by 1087
Abstract
The long-term monitoring of wetland ecosystem functioning is critical because wetlands, which provide multiple services, can be affected by human activities and climate change. The aim of this study was to monitor wetland ecosystem functioning in the long term using the Landsat archive. [...] Read more.
The long-term monitoring of wetland ecosystem functioning is critical because wetlands, which provide multiple services, can be affected by human activities and climate change. The aim of this study was to monitor wetland ecosystem functioning in the long term using the Landsat archive. Four contrasting, Ramsar wetlands were selected in boreal, temperate, arid, and tropical areas. First, the annual sum of the normalized difference vegetation index (NDVI-I) was calculated as an indicator of annual net primary productivity for the period 1984–2021 using the continuous change detection and classification (CCDC) algorithm. Next, the influence of the number of Landsat images and class of land use and land cover (LULC) on the accuracy of the CCDC was investigated. Finally, correlations between annual NDVI-I and climate were analyzed. The results revealed that NDVI-I accuracy was influenced mainly by the LULC class and to a lesser extent by the number of cloud-free Landsat observations. Infra- and inter-site variations in NDVI-I were high and showed an overall increasing trend. NDVI-I was positively correlated with the mean temperature. This study shows that this approach applied in contrasting sites is robust for the long-term monitoring of wetland ecosystem functioning and can be used to improve the implementation of international biodiversity conservation policies. Full article
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<p>Top: Location of the four Ramsar wetland sites on a world map of the annual hours of sunshine [<a href="#B33-sustainability-16-06301" class="html-bibr">33</a>]: (<b>A</b>) Pirttimysvuoma; (<b>B</b>) Marais Vernier; (<b>C</b>) Ouled Saïd; (<b>D</b>) Taiamã Ecological Station. Bottom: View of the four Ramsar wetland sites as Google Earth images (first row), the elevation derived from the Copernicus DEM (second row), the number of cloud-free Landsat observations (third row), and the LULC classes in 2021 (fourth row).</p>
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<p>Number of Landsat images by tile per year for each site: (<b>A</b>) Pirttimysvuoma; (<b>B</b>) Marais Vernier; (<b>C</b>) Ouled Saïd; (<b>D</b>) Taiamã Ecological Station.</p>
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<p>The method used to calculate the annual normalized difference vegetation index integral (NDVI-I) as an indicator of annual net primary productivity (ANPP) using the continuous change detection and classification (CCDC) application program interface [<a href="#B21-sustainability-16-06301" class="html-bibr">21</a>]. RMSE: root-mean-square error, SD: standard deviation.</p>
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<p>Example of the normalized difference vegetation index (NDVI) time series (TS) extracted from the Landsat archive for 1984–2021 at the Marais Vernier Ramsar site. The yellow rectangle identifies the pixel from which the time series was extracted and analyzed using the continuous change detection and classification (CCDC) algorithm. The colored lines indicate fits during time segments detected by the CCDC algorithm; a change in color indicates a change in land cover/land use.</p>
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<p>Annual variation in spatially averaged root-mean-square error (RMSE) of the annual normalized difference vegetation index integral (NDVI-I) (black line) and standard deviation (grey area) calculated from all pixels for each site from 1986 to 2021: (<b>A</b>) Pirttimysvuoma; (<b>B</b>) Marais Vernier; (<b>C</b>) Ouled Saïd; (<b>D</b>) Taiamã Ecological Station.</p>
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<p>Temporal mean, standard deviation (StDev), and amplitude (Amp.) of the annual normalized difference vegetation index integral (NDVI-I) root-mean-square error (RMSE) and number of breaks (No. Breaks) detected in the NDVI time series using the continuous change detection and classification algorithm for the four study sites from 1986 to 2021. Image stretching was applied to each site to highlight its spatial pattern. (<b>A</b>) Pirttimysvuoma; (<b>B</b>) Marais Vernier; (<b>C</b>) Ouled Saïd; (<b>D</b>) Taiamã Ecological Station.</p>
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<p>Influence of the number of Landsat observations (very small: 0–6; small: 7–19; moderate: 20–35; large: 36–63; very large: 64–113), land use and land cover (LULC) class, and their interaction on the accuracy of the continuous change detection and classification algorithm (median and standard deviation of the root-mean-square error (RMSE) for each wetland site). Lines that are nearly parallel indicate weak interactions.</p>
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<p>Annual variation in spatial mean annual normalized difference vegetation index integral (NDVI-I) (black line) and standard deviation of the annual variation in spatial mean NDVI-I (grey area) for each site for 1986–2021. (<b>A</b>) Pirttimysvuoma; (<b>B</b>) Marais Vernier; (<b>C</b>) Ouled Saïd; (<b>D</b>) Taiamã Ecological Station.</p>
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<p>Temporal mean, standard deviation (StDev), amplitude (Amp.) of NDVI-I, and years of minimum and maximum NDVI-I for the four study sites for 1986–2021: (<b>A</b>) Pirttimysvuoma; (<b>B</b>) Marais Vernier; (<b>C</b>) Ouled Saïd; (<b>D</b>) Taiamã Ecological Station. Image stretching was applied to each site to highlight its spatial pattern.</p>
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14 pages, 5688 KiB  
Article
Microplastics Ingestion by Copepods in Two Contrasting Seasons: A Case Study from the Terminos Lagoon, Southern Gulf of Mexico
by Ana Montoya-Melgoza, Erik Coria-Monter, María Adela Monreal-Gómez, Elizabeth Durán-Campos, David Alberto Salas-de-León, John S. Armstrong-Altrin, Benjamín Quiroz-Martínez and Sergio Cházaro-Olvera
Microplastics 2024, 3(3), 405-418; https://doi.org/10.3390/microplastics3030025 - 12 Jul 2024
Cited by 2 | Viewed by 1570
Abstract
This study evaluated the ingestion of microplastics (MP) by copepods in Terminos Lagoon (TL), a RAMSAR-listed site in the southern Gulf of Mexico. The evaluation was carried out in two contrasting seasons of 2022, as follows: the dry (April) and the rainy (October). [...] Read more.
This study evaluated the ingestion of microplastics (MP) by copepods in Terminos Lagoon (TL), a RAMSAR-listed site in the southern Gulf of Mexico. The evaluation was carried out in two contrasting seasons of 2022, as follows: the dry (April) and the rainy (October). Copepods were collected using a conical plankton net (mesh size of 200 μm). In the laboratory, a pool of all pelagic adult copepod taxa was picked, and the MP inside the organisms were extracted, classified, and photographed using traditional optical and scanning electron microscopy. A total of 268 MP particles were extracted from the interior of copepods; among them, 149 and 119 corresponded to the dry and rainy seasons, respectively. The ingestion rate in the dry season was 0.14, while in the rainy season, it was 0.11. In addition, fibers, plastic fragments, and microspheres with different colors (blue, red, black, green, transparent, and multicolored), sizes, forms (angular, round, triangular, and twisted), and textures were also detected. Fibers were the most abundant MP found in a proportion of more than 85%. In addition, in some sampling sites, microspheres were observed with high relative abundance values (80%). In some sites, fragments reach 20% of the total abundance. Significant differences were observed between the two seasons. The sites closest to the urban area adjacent to TL observed high diversity and abundance of MP. The higher abundance of MP in the dry season is due to lower river discharge, on the other hand. Thus, MP particles accumulate and become available for consumption by copepods. This is the first study that has revealed that the MP was ingested by the copepods in TL. Furthermore, this study provides a baseline information for future research on the abundance of MP in the Gulf of Mexico region. Full article
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<p>Study area: Terminos Lagoon is located in the southern Gulf of Mexico. Sites where zooplankton was collected (black dots) are at the El Carmen Inlet and the Puerto Real Inlet (DC and PR) and along three transects close to the river’s discharge (Palizada, Chumpan, and Candelaria). The gray portion indicates the urban area of Ciudad del Carmen.</p>
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<p>Laboratory work steps (refer to Materials and Methods section for details). (<b>a</b>) Original zooplankton samples, (<b>b</b>) copepod’s separation from the original samples, and (<b>c</b>) adult copepod selection.</p>
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<p>Miscellaneous MP ingested by copepods from Terminos Lagoon evaluated in two contrasting seasons of 2022, dry and rainy seasons, (<b>a</b>–<b>i</b>) fibers with different colors (red, blue, black, and transparent), brightness, sizes, and flexibilities. (<b>j</b>–<b>n</b>) Fragments of MP with different colors (red, green, multicolored, and transparent), sizes, and shapes (angular, rounded, and oval), (<b>o</b>–<b>r</b>) microspheres (pellets) with different sizes and colors (green, black, and transparent). The black arrows pointed out the MP items.</p>
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<p>Miscellaneous MP ingested by copepods from Terminos Lagoon evaluated in two contrasting seasons of 2022, dry and rainy seasons, (<b>a</b>–<b>i</b>) fibers with different colors (red, blue, black, and transparent), brightness, sizes, and flexibilities. (<b>j</b>–<b>n</b>) Fragments of MP with different colors (red, green, multicolored, and transparent), sizes, and shapes (angular, rounded, and oval), (<b>o</b>–<b>r</b>) microspheres (pellets) with different sizes and colors (green, black, and transparent). The black arrows pointed out the MP items.</p>
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<p>Microphotographs obtained using scanning electron microscopy of the MP ingested by copepods from Terminos Lagoon: (<b>a</b>–<b>h</b>) Fibers with different sizes and textures indicate their state of conservation and degradation; and (<b>i</b>) microspheres.</p>
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<p>(<b>a</b>) Microplastic items ingested by copepods from the Terminos Lagoon in each sampling site during the dry season (April 2022); (<b>b</b>) microplastic items ingested by copepods from Terminos Lagoon in each sampling site during the rainy season (October 2022).</p>
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7 pages, 1936 KiB  
Communication
Could the Roadside Shrines Be a Source of Alien Plant Introductions? The Example of the ‘Difunta Correa’ Shrine in Almería (Spain)
by Jordi López-Pujol, Carlos Gómez-Bellver and Ileana Herrera
Ecologies 2024, 5(3), 368-374; https://doi.org/10.3390/ecologies5030023 - 11 Jul 2024
Viewed by 1051
Abstract
Ornamental gardens are probably the most important source of invasive alien plants. However, the role of roadside shrines as a source of alien plant introductions remains unexplored. Herein, we are reporting the cultivated alien flora of a roadside shrine (devoted to the ‘Difunta [...] Read more.
Ornamental gardens are probably the most important source of invasive alien plants. However, the role of roadside shrines as a source of alien plant introductions remains unexplored. Herein, we are reporting the cultivated alien flora of a roadside shrine (devoted to the ‘Difunta Correa’) in south-eastern Spain, while making a prior assessment of the risk of spreading in the surroundings. In an area of less than 50 m2, up to 20 plant taxa were identified, with the vast majority of them being alien. Some of the observed alien taxa can be very problematic (e.g., Kalanchoe × houghtonii) and are even included in the Spanish catalogue of invasive species (such as Opuntia ficus-indica). Although the shrine is not affecting the local biodiversity yet (though a few taxa are showing the first signs of spread), it is located just 1 km away from a valuable protected area (included within the Natura 2000 network of the European Union and also recognized as a Ramsar site). Roadside shrines and similar places (e.g., memorials or calvaries) should be, thus, regarded as a potential source of alien plant introductions; thus, monitoring is recommended, particularly when close to protected areas. Full article
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<p>General view of the ‘Difunta Correa’ roadside shrine: (<b>A</b>) in Almería, south-eastern Spain; (<b>B</b>) plantlets of <span class="html-italic">Kalanchoe</span> × <span class="html-italic">houghtonii</span> established in nearby rock cracks; (<b>C</b>) dispersal of <span class="html-italic">Opuntia ficus-indica</span> cladodes down the cliff.</p>
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<p>Two examples of roadside shrines (devoted to vehicle-related deaths) in Spain. (<b>A</b>) Shrine on the C-14 road (Reus, Tarragona Province, Spain) with the name of the dead blurred; (<b>B</b>) shrine on the N-340 road (Bellvei, Tarragona Province, Spain). The latter road is one of the most dangerous of Spain and regrettably saw probably the deadliest accident in the history of road transportation (the ‘Alfacs accident’, with &gt;200 deaths).</p>
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Article
Hematodinium perezi (Dinophyceae: Syndiniales) in Morocco: The First Record on the African Atlantic Coast and the First Country Record of a Parasite of the Invasive Non-Native Blue Crab Callinectes sapidus
by Amal Lamkhalkhal, Imane Rahmouni, Mohamed Selfati, Aicha Hamid, Nikol Kmentová, Maarten P.M. Vanhove and Hocein Bazairi
J. Mar. Sci. Eng. 2024, 12(7), 1045; https://doi.org/10.3390/jmse12071045 - 21 Jun 2024
Cited by 1 | Viewed by 1696
Abstract
Dinoflagellates belonging to the genus Hematodinium are key parasites of marine crustaceans, primarily decapods. In this study, we document the first report of H. perezi Chatton & Poisson, 1930 on the African Atlantic coast. This is also the first parasite record in the [...] Read more.
Dinoflagellates belonging to the genus Hematodinium are key parasites of marine crustaceans, primarily decapods. In this study, we document the first report of H. perezi Chatton & Poisson, 1930 on the African Atlantic coast. This is also the first parasite record in the invasive non-native Atlantic blue crab Callinectes sapidus Rathbun, 1896 in Morocco. Specimens of C. sapidus were sampled in winter 2023 from two Ramsar sites on the Moroccan Atlantic, namely Merja Zerga and Oualidia Lagoons, and were screened to detect the presence of parasites in their hemolymph. Based on staining fresh hemolymph smears, we did not detect Hematodinium in any of the 36 investigated individuals (20 and 16 from Merja Zerga and Oualidia Lagoons, respectively), probably due to methodological artifacts. The PCR-based method was revealed to be more accurate in diagnosing the Hematodinium parasite. It showed that at Merja Zerga Lagoon, 13 individuals of C. sapidus were infected by the parasite (prevalence: 65%) in comparison to four at Oualidia Lagoon (25%). Genetic analysis, based on the ITS1 rDNA gene from Hematodinium, confirmed the sequences as being those of Hematodinium perezi. Full article
(This article belongs to the Section Marine Ecology)
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<p>Map showing the distribution of reported representatives of <span class="html-italic">Hematodinium</span> infecting <span class="html-italic">Callinectes sapidus</span> (see also [<a href="#B34-jmse-12-01045" class="html-bibr">34</a>,<a href="#B65-jmse-12-01045" class="html-bibr">65</a>]).</p>
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<p>Map showing the localization of Merja Zerga (<b>A</b>) and Oualidia (<b>B</b>) Lagoons on the Moroccan Atlantic.</p>
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<p>Phylogram constructed using maximum likelihood (ML) and neighbour-joining (NJ) methods based on ITS1 sequences of <span class="html-italic">Hematodinium perezi</span>. Bootstrap support from 1000 replicates is shown based on the ML method (before slash) and on the NJ method (behind slash). ML and NJ trees are topologically identical, and it is the ML tree that is shown here (midpoint rooted). The scale bar represents the number of expected substitutions per site.</p>
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