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15 pages, 3680 KiB  
Article
Modelling Water Depth, Turbidity and Chlorophyll Using Airborne Hyperspectral Remote Sensing in a Restored Pond Complex of Doñana National Park (Spain)
by Cristina Coccia, Eva Pintado, Álvaro L. Paredes, David Aragonés, Daniela C. O’Ryan, Andy J. Green, Javier Bustamante and Ricardo Díaz-Delgado
Remote Sens. 2024, 16(16), 2996; https://doi.org/10.3390/rs16162996 - 15 Aug 2024
Viewed by 558
Abstract
Restored wetlands should be closely monitored to fully evaluate the effectiveness of restoration efforts. However, regular post-restoration monitoring can be time-consuming and expensive, and is often absent or inadequate. Satellite and airborne remote sensing systems have proven to be cost-effective tools in many [...] Read more.
Restored wetlands should be closely monitored to fully evaluate the effectiveness of restoration efforts. However, regular post-restoration monitoring can be time-consuming and expensive, and is often absent or inadequate. Satellite and airborne remote sensing systems have proven to be cost-effective tools in many fields, but they have not been widely used to monitor ecological restoration. This study assessed the potential of airborne hyperspectral remote sensing to monitor water mass characteristics of experimental temporary ponds in the Mediterranean region. These ponds were created during marsh restoration in Doñana National Park (south-west Spain). We used hyperspectral images acquired by the CASI-1500 hyperspectral airborne sensor to estimate and map water depth, turbidity and chlorophyll a in a subset of the 96 new ponds. The high spatial and spectral resolution of the CASI sensor allowed us to detect differences between ponds in water depth, turbidity and chlorophyll a, providing accurate mapping of these three variables, and a useful method to assess restoration success. High levels of spatial variation were recorded between different ponds, which likely generates high diversity in the animal and plant species that they contain. These results highlight the great potential of hyperspectral sensors for the long-term monitoring of wetland complexes in the Mediterranean region and elsewhere. Full article
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Figure 1
<p>Location of the Caracoles Estate within the Doñana National Park. N and S indicate the respective locations of Northern and Southern restoration blocks.</p>
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<p>Methodology Flow Diagram.</p>
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<p>Scatterplots illustrating the relationship between the selected bands and the response variables.</p>
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<p>Maps derived from individual measurement of water depth (cm) of the ponds located in the Northern and Southern blocks within the Caracoles estate, and of two isolated ponds between them (center). Ponds in white were not covered by the flight.</p>
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<p>Map derived from pooled measurement of mean water depth (cm) of the ponds located in the Northern and Southern blocks within the Caracoles estate, and of two isolated ponds between them (center). Ponds in white were not covered by the flight.</p>
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<p>Map derived from pooled data of chlorophyll a concentration (μg/L) of the ponds located in the Northern and Southern blocks within the Caracoles estate, and of two isolated ponds between them (center). Ponds in white were not covered by the flight.</p>
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<p>Map derived from pooled measurement of turbidity (NTU) of the ponds located in the Northern and Southern blocks within the Caracoles estate, and of two isolated ponds between them (center). Ponds in white were not covered by the flight.</p>
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17 pages, 5544 KiB  
Article
Human Impacts on Holocene Vegetation and Wetland Degradation in the Lower Pearl River, Southern China
by Yaze Zhang, Yanwei Zheng, Qinghua Gong, Shuqing Fu, Cong Chen, Yongjie Tang, Xiao Zhang, Qiuchi Wan, Kangyou Huang and Zhuo Zheng
Land 2024, 13(4), 530; https://doi.org/10.3390/land13040530 - 16 Apr 2024
Viewed by 1643
Abstract
Reconstructing Holocene vegetation history and human impact on vegetation is critical for understanding past interactions between humans and nature. This study concentrates on the lower West River area in Southern China, offering high-resolution reconstructions of vegetation changes over the last 9000 years. Our [...] Read more.
Reconstructing Holocene vegetation history and human impact on vegetation is critical for understanding past interactions between humans and nature. This study concentrates on the lower West River area in Southern China, offering high-resolution reconstructions of vegetation changes over the last 9000 years. Our findings reveal that during the Holocene Climatic Optimum (9–5 ka BP), the area was predominantly covered by dense evergreen broad-leaved forests. Around 5.1 ka BP, the emergence of marsh forests, as evidenced by abundant pollen of Glyptostrobus and in situ buried woods and roots, indicated a transition towards a wetland ecosystem. Notably, a thriving wetland environment and high production of peat deposits dating from 4.3 ka to 2.5 ka BP reflect the continuous drop of lake levels and the formation of swamps driven by a climatic pattern marked by decreased precipitation, potentially linked to a reduction in summer monsoon intensity during the latter part of the Holocene. This period of wetland expansion also coincides with the earliest evidence of rice cultivation in Southern China, suggesting a relationship between agricultural development and regional landscape changes. Additionally, millennial-scale paleo-megafloods are not only identified by lithological features but also by pollen taxa and principal component analysis. Despite the temporary disruptions of the marsh forest, it demonstrated resilience, quickly recovering within decades. By approximately 2.5 ka BP, a significant increase in rice-type Poaceae pollen and Pteridophyte spores, alongside the sharp decline of Glyptostrobus and a decrease in arboreal taxa, were observed. This shift in pollen spectra, coupled with a PC1 curve of principal component analysis, points to intensified human activity as a primary driver behind the collapse of the local wetland ecosystem. These findings align with regional evidence from the Pearl River Delta and coastal Southern China, highlighting extensive human intervention in natural forests and the onset of large-scale agriculture post-2.5 ka BP. Full article
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Figure 1
<p>Topography and vegetation maps of the study area. (<b>A</b>) Area of the Pearl River catchment system showing the West, North and East Rivers, the Pearl River Delta and the study area. (<b>B</b>) Regional vegetation map and location of the study area. (<b>C</b>) Topography map showing the lower reaches of the West River and Xinxing tributary watercourse.</p>
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<p>Lithology, sediment bulk density (BD), magnetic susceptibility (MS), and age–depth model of the profile BS01.</p>
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<p>Detailed pollen diagram of principal pollen taxa from BS01.</p>
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<p>Principal component analysis (PCA) ordination based on percentage values of 34 pollen taxa. (<b>a</b>) Scatter plot of the first two axes (PC1 vs. PC2); (<b>b</b>) PC1 and PC2 scores of the selected pollen taxa; (<b>c</b>) scatter plot of the axis PC3 and axis PC4; (<b>d</b>) PC3 and PC4 scores of the selected pollen taxa.</p>
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<p>Pollen group and synthetic diagram of the profile BS01.</p>
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<p>The pollen decline trend of an evergreen broad-leaved forest during the Holocene compared with July insolation, showing that the rapid flourishing of the marsh forest since cal. 5.1 ka BP may be related to the weakening of the summer monsoons.</p>
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<p>Human impact on local vegetation and its comparison with early rice evidence and delta plain growth during the Holocene. (<b>a</b>) <sup>14</sup>C age ranges of carbonized rice seeds in regional Neolithic sites; (<b>b</b>) land growth rate of the Pearl River Delta [<a href="#B35-land-13-00530" class="html-bibr">35</a>]; (<b>c</b>) charcoal concentration from the record GY01 [<a href="#B22-land-13-00530" class="html-bibr">22</a>]; (<b>d</b>) rice-type pollen percentage value; (<b>e</b>) PC1 score as human activity index; (<b>f</b>) pollen group proportions of evergreen broad-leaved forest and marsh forest plus wetland sedge; (<b>g</b>) Castanopsis content, a key pollen taxon of evergreen broad-leaved plant.</p>
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<p>Indicative significance of principal component analysis of pollen taxa to megaflood layers (FL1–FL7).</p>
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18 pages, 3176 KiB  
Article
Treatment Wetland Plant Harvests as a Tool for Soil Phosphorus Reduction in North Central US Agricultural Watersheds
by Nadia Alsadi and Christian Lenhart
Water 2024, 16(5), 642; https://doi.org/10.3390/w16050642 - 22 Feb 2024
Cited by 1 | Viewed by 1006
Abstract
Agricultural watersheds in the North Central United States have been intensively farmed for decades with widespread application of fertilizer and extensive tilling practices. Soil phosphorus built up in sediments over time as a result of these practices may be released under anaerobic conditions, [...] Read more.
Agricultural watersheds in the North Central United States have been intensively farmed for decades with widespread application of fertilizer and extensive tilling practices. Soil phosphorus built up in sediments over time as a result of these practices may be released under anaerobic conditions, such as flood events. These floods are increasing in frequency and intensity due to climate change, leading to downstream water-quality concerns. Edge-of-field best management practices, including constructed treatment wetlands, provide a natural buffer for excess phosphorus runoff, but may only be a temporary solution if soil becomes oversaturated with phosphorus over extended periods of time. Preventing wetlands from becoming sources of phosphorus to water bodies may be essential for management in future years when considering impacts from climate change. This research assesses how wetland plant harvesting can reduce soil phosphorus accumulation (measured as Olsen phosphorus) in edge-of-field treatment wetlands, thereby preventing these systems from becoming phosphorus sources and ensuring the longevity of water-quality benefits from these systems. Using several 380 L controlled wetland mesocosm experiments in 2018–2019, we assessed above-ground plant material (S. tabernaemontani and B. fluviatilis) and soil Olsen P through the growing season and after harvest. We observed a reduction in soil phosphorus from wetland plant harvesting between 1–50% over one year, with a mean reduction of 7.9 mg/kg. B. fluviatilis initially contained higher P concentration early in the season (0.82% P content) compared to S. tabernaemontani (0.76% P), but S. tabernaemontani retained higher P later in the season (0.3% P content) compared to B. fluviatilis (0.25%). Time of season may significantly impact plant P removal potential, including accessibility of treatment wetland sites. While controlled mesocosm experiments may not always be applicable to real landscape-level management, this study highlights the potential for reductions in soil phosphorus and corresponding downstream phosphorus fluxes in edge-of-field treatment wetlands through plant harvest during the growing season. Plant harvesting can be used by land managers in edge-of-field treatment wetlands as an adaptation mechanism for shifting environmental conditions, such as increased heavy rainfall occurrences and flood events, that are exacerbated by climate change in this region. Full article
(This article belongs to the Special Issue Restoration of Wetlands for Climate Change Mitigation)
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<p>Mesocosm vegetation phosphorus content (mg) per dry weight (mg) across all species and seasons studied (2017–2018). Sample size = 3/tank. Error bars represent standard error.</p>
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<p>Plant P content (g/tank) and estimated removal from the 2018 mesocosm experiment for softstem bulrush (in blue; <span class="html-italic">Schoenoplectus tabernaemontani</span>) and river bulrush (in green; <span class="html-italic">Bolboschoenus fluviatilis</span>). Error bars represent standard deviations.</p>
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<p>Mesocosm plant biomass variability over a growing season. Sample 1 at beginning of growing season (June); Sample 5 at end of growing season (October). Plant biomass is shown as dry weight (DW). RB indicates river bulrush (<span class="html-italic">B. fluviatilis</span>); SS indicates softstem bulrush (<span class="html-italic">S. tabernaemontani</span>). Error bars represent standard error.</p>
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<p>Mesocosm plant P content (%) over a growing season (Sample 1 at beginning of growing season (June); Sample 5 at end of growing season (October). RB indicates river bulrush (<span class="html-italic">B. fluviatilis</span>); SS indicates softstem bulrush (<span class="html-italic">S. tabernaemontani</span>) Error bars represent standard error.</p>
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<p>Mesocosm soil Olsen P (mg/kg) from tanks (#1–15) post-vegetation harvest. Sample size = 30; first 15 tanks are represented here. Error bars represent standard error.</p>
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<p>Estimated Granada treatment wetland total end-of-season harvest P removal rate (kg/ha) by year. Error bars represent standard error.</p>
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<p>Granada treatment wetland average Olsen P reductions across sampling seasons (2014 and 2019) following vegetation harvesting in each cell. Error bars represent standard error.</p>
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<p>Mesocosm experimental facility at St. Paul campus, June 2021. River bulrush (<span class="html-italic">B. fluviatilis</span>) is shown on the lower left; softstem bulrush (<span class="html-italic">S. tabernaemontani</span>) is the darker green plant in the lower right (photo by Nadia Alsadi).</p>
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<p>Aerial drone image of Granada treatment wetland in southern Minnesota, United States. 2017 (photo by David Hansen).</p>
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14 pages, 6731 KiB  
Article
Implications of Anthropic Activities in the Catchment Area of a Temporary Mediterranean Wetland Complex in the South of Spain
by Jesús de-los-Ríos-Mérida, Francisco Guerrero, Salvador Arijo, María Muñoz, Juan Diego Gilbert, Inmaculada Álvarez-Manzaneda and Andreas Reul
Sustainability 2024, 16(4), 1685; https://doi.org/10.3390/su16041685 - 19 Feb 2024
Viewed by 907
Abstract
The Lagunas de Campillos Natural Reserve and adjacent ponds are fundamentally surrounded by regularly fertilized crop fields and livestock industry, producing leachates which can be found in the ponds. The interest in this Site of European Importance and the RAMSAR wetland complex lies [...] Read more.
The Lagunas de Campillos Natural Reserve and adjacent ponds are fundamentally surrounded by regularly fertilized crop fields and livestock industry, producing leachates which can be found in the ponds. The interest in this Site of European Importance and the RAMSAR wetland complex lies in the habitats within it, which are included in the Directive on Habitats of Community Interest. It is essential to determine the trophic status of the ponds and the quality of these habitats, as well as whether corrective measures need to be established in order to maintain a good environmental status. To characterize and compare the ponds, different parameters were measured, such as conductivity, pH, nutrient concentration, Chl-a concentration, phytoplankton composition, phytoplankton abundance (<20 µm), and the quantification of heterotrophic microorganisms indicating contamination of the aquifers. The obtained results showed that all ponds, except a mesotrophic pond, are eutrophic or even hypertrophic, with high levels of total nitrogen (>8 mg L−1), total phosphorous (>165 μg L−1), and chlorophyll-a concentration. These findings explain the high densities of phytoplankton observed, with the predominant presence of small cells (<3.6 μm ESD). In addition, concentrations of heterotrophs and coliforms are, in some ponds, higher than expected. Eutrophication hinders ecological functions and ecosystem services, which finally affects biodiversity and human wellbeing. Five of the six analyzed ponds are within various protection figures for their essential importance to local and migrating avifauna. Therefore, ponds’ status analysis and the implementation of measures for maintaining ecosystem services and trophic state are fundamental for the sustainable management of the studied area. Full article
(This article belongs to the Section Sustainability, Biodiversity and Conservation)
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<p>Geographic location of the six temporary wetlands studied. Salada, Redonda, Capacete, Camuñas and Cerero ponds are located within the Nature Reserve and SPA (ES6170015) Lagunas de Campillos. The Dulce pond was dry and therefore excluded from the sampling.</p>
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<p>Temporal (26 December 2016–26 March 2017) evolution of chlorophyll-a and the different phytoplankton groups in the studied ponds throughout the sampling period.</p>
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<p>Abundance (cells mL<sup>−1</sup>) and biovolume (μm<sup>3</sup> mL<sup>−1</sup>) of phytoplankton in the studied ponds.</p>
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<p>Phytoplankton size spectra in the studied ponds. ESD = Equivalent Spherical Diameter. Camuñas was dry on 29 January 2017.</p>
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<p>Bacterial concentration in the sampled ponds. CFU indicates colony forming units.</p>
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<p>Canonical Correspondence Analysis (CCA) ordination diagram. The temporal and spatial sample sites (upper panel) are named with the first letters of the wetland (S = Salada; CP = Capacete; R = Redonda; M = Marcela; CM = Camuñas; CR = Cerero) and the last three letters with the abbreviation of the sampling month (DEC, JAN, FEB, MAR). Totalcon (lower panel) refers to total chlorophyll a concentration (μg L<sup>−1</sup>).</p>
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22 pages, 2353 KiB  
Article
The Wetlands of Northeastern Algeria (Guelma and Souk Ahras): Stakes for the Conservation of Regional Biodiversity
by Chayma Hammana, Jaime F. Pereña-Ortiz, Amel Meddad-Hamza, Tarek Hamel and Ángel Enrique Salvo-Tierra
Land 2024, 13(2), 210; https://doi.org/10.3390/land13020210 - 8 Feb 2024
Cited by 2 | Viewed by 2785
Abstract
This in-depth floristic study, conducted from 2019 to 2023 in nine temporary wetlands in the Guelma and Souk Ahras provinces, northeastern Algeria, aims to highlight the natural heritage of the region by analyzing the floristic composition in relation to environmental conditions. To achieve [...] Read more.
This in-depth floristic study, conducted from 2019 to 2023 in nine temporary wetlands in the Guelma and Souk Ahras provinces, northeastern Algeria, aims to highlight the natural heritage of the region by analyzing the floristic composition in relation to environmental conditions. To achieve this goal, comprehensive inventories were conducted, revealing the presence of 317 species belonging to 64 botanical families and distributed across 204 genera. The plant diversity at each site was assessed using various biological indices, with a particular focus on the Taxonomic Distinctiveness Index (TDI) to determine the influence of environmental factors such as fires, altitude, overgrazing and agropastoral activities on biodiversity. The results highlighted the dominance of therophytes (43.22%) and the prevalence of the Mediterranean assemblage (66.25%). Moreover, 8.83% of the species were endemic, 1.89% were protected by Algerian legislation and 1.26% were listed on the IUCN Red List. The study identified Priority Conservation Zones (PCA) where the preservation of ponds, particularly MTG, TRC, BTH, and GZE, is crucial. Additionally, floristic and ecological boundaries between ponds were identified, highlighting marked biological similarities between certain pairs and notable isolations, particularly evident in the case of BTH with a significantly high TDI. These results underscore the critical importance of the studied region, emphasizing the need to integrate its floristic biodiversity into conservation efforts to enhance overall ecological integrity. Full article
(This article belongs to the Section Land Environmental and Policy Impact Assessment)
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<p>Geographical location of the study area and sites.</p>
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<p>Taxa abundance per chorological group at each site. MTG: El-Matlegue; BTH: El-Batha; TAR: Taoura; BRG: Burgas Lake; GZE: Guelta Zarga Effesus; GZN: Guelta Zarga Nigricans; TRN: Taya Ranuncule; TRC: Taya Rockery; MJN: Madjen Belahriti.</p>
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<p>PCA_END values. MTG: El-Matlegue; BTH: El-Batha; TAR: Taoura; BRG: Burgas Lake; GZE: Guelta Zarga Effesus; GZN: Guelta Zarga Nigricans; TRN: Taya Ranuncule; TRC: Taya Rockery; MJN: Madjen Belahriti.</p>
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<p>The potential distribution of the values of the PCA, END and TD ranges.</p>
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<p>Identification of ecofloristic border types for each pair of temporary wetlands.</p>
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15 pages, 2290 KiB  
Article
Community Management of Groundwater under a Private Property Regime: An Example of Institutional Local Adaptation to Overexploitation Problems in the Copiapó Aquifer, Chile
by Rodrigo Fuster, Katherinne Silva-Urrutia, Cristian Escobar-Avaria, José Miguel Valdés-Negroni, Gustavo Abrigo-Cornejo and Hilda Moya-Jofré
Water 2023, 15(24), 4257; https://doi.org/10.3390/w15244257 - 12 Dec 2023
Viewed by 1250
Abstract
The governance model established in Chilean water law delegates responsibility for groundwater management to private water rights owners. The Copiapó aquifer in the Atacama Region, Chile, has problems of overexploitation resulting from intensive use of the resource. This is explained by the limited [...] Read more.
The governance model established in Chilean water law delegates responsibility for groundwater management to private water rights owners. The Copiapó aquifer in the Atacama Region, Chile, has problems of overexploitation resulting from intensive use of the resource. This is explained by the limited information on the water availability in the aquifer and the existence of legally granted water rights whose flows exceed the rate of natural recharge. In this context, water users formed Chile’s first groundwater users’ community in the Copiapó basin for the collective administration of the aquifer. Although this organization is regulated by Chilean water law, the way in which its members participate in decision-making processes and some self-management mechanisms that they have implemented are local institutional arrangements that go beyond the rules established in the Water Code, showing this organization to be an empirical case of institutional adaptation to the overdepletion of an aquifer. The local institutional arrangements include incorporating environmental protection objectives for aquifers and wetlands, establishing an institutional arrangement that guarantees the participation in the decision-making processes of different water uses and users, developing an internal management model that promotes temporary transfers of partial volumes of a water right and carrying out studies to improve water management. Full article
(This article belongs to the Special Issue Water Governance and Sustainable Water Resources Management)
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<p>Information-gathering activities carried out by the study. Grey boxes: Research projects developed with CASUB participation. White boxes: Information-gathering activities.</p>
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<p>Area of study. Aquifer sectors according to [<a href="#B15-water-15-04257" class="html-bibr">15</a>].</p>
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<p>Water table behavior in each hydrological management sector of Copiapó Aquifer. Source: [<a href="#B20-water-15-04257" class="html-bibr">20</a>].</p>
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<p>Water table behavior in each hydrological management sector of Copiapó Aquifer. Source: [<a href="#B20-water-15-04257" class="html-bibr">20</a>].</p>
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<p>Location of measured wells in the aquifer sectors. Source: own elaboration based on [<a href="#B20-water-15-04257" class="html-bibr">20</a>].</p>
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<p>CASUB-driven projects outlined in a simple conceptualization of the water management system.</p>
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18 pages, 1788 KiB  
Article
Monitoring the Efficiency of a Catchment Restoration to Further Reduce Nutrients and Sediment Input into a Eutrophic Lake
by Solveig Nachtigall and Christine Heim
Water 2023, 15(21), 3794; https://doi.org/10.3390/w15213794 - 30 Oct 2023
Viewed by 1104
Abstract
The restoration of eutrophic river and lake ecosystems is an important task that has been conducted in numerous ways and at many locations around the world. However, such improvements of water quality are often temporary, as such ecosystems are dynamic, and restoration measures [...] Read more.
The restoration of eutrophic river and lake ecosystems is an important task that has been conducted in numerous ways and at many locations around the world. However, such improvements of water quality are often temporary, as such ecosystems are dynamic, and restoration measures must be reassessed and modified. The restored catchment of a shallow eutrophic lake, Lake Seeburg, in central Germany, was monitored over a 13-month period. The restoration of the inflowing river a decade earlier included riverbed prolongation, gradient reduction, and the construction of wetlands upstream, which reduced the sediment input and silting up of the lake. As nutrient fluxes in the tributaries were still high, these restoration measures seemed to be insufficiently effective. This study aimed to locate nutrient hotspots and quantify the nutrient balances of the catchment. Nitrogen and phosphorous concentrations, river discharge, hydrochemical parameters (pH, temperature, oxygen concentrations) and turbidity, as a proxy for suspended particulate matter (SPM), were monitored monthly. Our data show that the lake functions as a nitrogen sink, whereas the phosphorous fluxes follow a seasonal trend with the negative balance in winter turning into a positive balance in summer with the onset of cyanobacterial blooms. The release of phosphorous from the wetland throughout the year indicates supersaturation and thus a permanent input of phosphorous into the lake. Consequently, phosphorus loading in the lake is quite high, fostering eutrophication. Furthermore, the very low precipitation rates during the study highlighted that the lake was not only controlled by external nutrient loads but rather was sustained by high internal phosphorous loading. Consequently, the remediation action of creating the wetland to restore the sedimentation trap and nutrient accumulation capacity was not sufficient. Full article
(This article belongs to the Special Issue Lake Processes and Lake’s Climate Effects under Global Warming)
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<p>Schematic overview of Lake Seeburg and the restoration area including the old and new flow path. Numbers indicate sampling sites of the river Aue including the floodplain (site 2); letters A–D indicate sampling points of tributaries to the river Aue.</p>
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<p>Shift of nitrate–N and ortho-phosphate–P concentrations in Lake Seeburg over the course of the year: January 2018 to January 2019.</p>
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<p>Calculated SPM freights of the river Aue.</p>
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<p>Calculated ortho-phosphate–P freights of the river Aue.</p>
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<p>PCA plot based on the data of <a href="#water-15-03794-t003" class="html-table">Table 3</a>. NO<sub>3</sub>-N values correspond to black dots, PO<sub>4</sub> -P values are black squares and the black Xs correspond to SPM (freights). The PCA plot determines hotspots in terms of nutrients and SPM with the correlating time.</p>
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18 pages, 2994 KiB  
Article
Functional Response of Aquatic Macroinvertebrate Communities to Temporality in Tropical Temporary Ponds
by Aliano J. Tette-Pomárico, Cesar E. Tamaris-Turizo, Ángela J. Motta Diaz and Pedro Eslava-Eljaiek
Water 2023, 15(15), 2753; https://doi.org/10.3390/w15152753 - 29 Jul 2023
Viewed by 1491
Abstract
Temporary or stationary wetlands (ponds) are bodies of shallow water that experience periodic droughts and an irregular flood cycle throughout the year. Although these wetlands are widely distributed in the Colombian territory, there have been few studies on their ecology. The aim of [...] Read more.
Temporary or stationary wetlands (ponds) are bodies of shallow water that experience periodic droughts and an irregular flood cycle throughout the year. Although these wetlands are widely distributed in the Colombian territory, there have been few studies on their ecology. The aim of this research is to determine the effects of hydroperiod on the functional diversity of aquatic and semiaquatic macroinvertebrates in five temporary ponds in the department of Magdalena (Colombia). The samplings were performed during the hydroperiods of the filling and drying phases. Samples were collected from all the microhabitats present (sediment, littoral, and limnetic zones). Correlation analyses were performed between the traits and sites in the two hydroperiods, and a multidimensional and comparative analysis of functional diversity was performed, where indices of distance, richness, and functional dispersion were calculated in each hydroperiod. Statistical differences in functional replacement were found for only one of the ponds; however, the other ponds showed a similar trend. These results fit the functional turnover ecological hypothesis in that the response of the aquatic and semiaquatic macroinvertebrate communities was associated with the hydroperiod of the ponds based on the habitat “templet” theory. Full article
(This article belongs to the Special Issue Freshwater Biodiversity: Conservation and Management)
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<p>Location of the temporary ponds in the Magdalena department (Colombia).</p>
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<p>Principal component analysis (PCA) of the environmental variables and temporary ponds. TDS: total dissolved solids; PO<sub>4</sub>-P: orthophosphates; O<sub>2</sub>: dissolved oxygen; NO<sub>2</sub>: nitrites. P: pond, A: filling phase; R: drying phase.</p>
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<p>Non–metric multidimensional scaling (nMDS) of the temporal variation of the functional diversity. Each circle is a taxon and the size is proportional to its abundance. Blue circle: ascent waters. Red circle: relegation waters.</p>
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<p>Fuzzy correspondence analysis (FCA) of the functional traits and temporary ponds. P: pond, A: filling phase; R: drying phase. (<b>A</b>) Lifecycle: (1) aquatic stage: egg (a1), larvae and/or pupa (a2), and adult (a3); (2) resistance forms: statoblast (b1), gemmule (b2), cocoon (b3), cells against dehydration (b4), and diapause or dormancy (b5); (3) voltinism: semivoltine (c1), univoltine (c2), and multivoltine (c3). (<b>B</b>) Reproductive: ovoviviparous (d1), isolated free eggs (d2), isolated eggs, segmented (d3), segmented nested eggs (d4), free-nested eggs (d5), vegetation-nested eggs (d6), terrestrial nested eggs (d7), endophytic eggs (d8), and asexual reproduction (d9). (<b>C</b>). Behavioral and physiological: (1) breathing: cutaneous (e1), gills (e2), plastron (e3), aerial (e4), and respiratory pigments (e5); (2) locomotion: flyer (f1), surface swimmer (f2), all swimmer (f3), walker (f4), epibenthic burrower (f5), endobenthic burrower (f6), and temporarily fixed to the substrate (f7); (3) feeding: collector (g1), filter (g2), shedder (g3), scraper (g4), piercer (g5), and predator (g6); (4) food: sediment particles (h1), fine debris (h2), coarse debris (h3), microphytes (h4), macrophytes (h5), microinvertebrates (h6), macroinvertebrates (h7), vertebrates (h8), and dead animals (h9); (5) habitat preference: sediment (i1), leaf litter (i2), macrophytes (i3), rocks (i4), branches (i5), and water surface (i6). (<b>D</b>) Morphological: (1) body armor: sclerotized body (j1), strong case/shell (j2), and without adaptation (j3); (2) maximum size: &lt;2.5 mm (k1), 2.5–5 mm (k2), 5–10 mm (k3), 11–20 mm (k4), 21–40 mm (k5), and 41–80 mm (k6); (3) body shape: streamlined (l1), flattened (l2), cylindrical (l3), and spherical (l4).</p>
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<p>Canonical correspondence analysis (CCA) between functional traits, environmental variables, and temporary ponds. TDS: Total dissolved solids; PO<sub>4</sub>–P: Orthophosphates; O<sub>2</sub>: Dissolved oxygen; NO<sub>2</sub>: Nitrites. P: Pond, A: Filling phase; R: Drying phase. A. Lifecycle: (1) aquatic stage: egg (a1), larvae and/or pupa (a2), and adult (a3); (2) resistance forms: statoblast (b1), gemmule (b2), cocoon (b3), cells against dehydration (b4), and diapause or dormancy (b5); (3) voltinism: semivoltine (c1), univoltine (c2), and multivoltine (c3). B. Reproductive: ovoviviparous (d1), isolated free eggs (d2), isolated eggs, segmented (d3), segmented nested eggs (d4), free-nested eggs (d5), vegetation-nested eggs (d6), terrestrial nested eggs (d7), endophytic eggs (d8), and asexual reproduction (d9). C. Behavioral and physiological: (1) breathing: cutaneous (e1), gills (e2), plastron (e3), aerial (e4), and respiratory pigments (e5); (2) locomotion: flyer (f1), surface swimmer (f2), all swimmer (f3), walker (f4), epibenthic burrower (f5), endobenthic burrower (f6), and temporarily fixed to the substrate (f7); (3) feeding: collector (g1), filter (g2), shedder (g3), scraper (g4), piercer (g5), and predator (g6); (4) food: sediment particles (h1), fine debris (h2), coarse debris (h3), microphytes (h4), macrophytes (h5), microinvertebrates (h6), macroinvertebrates (h7), vertebrates (h8), and dead animals (h9); (5) habitat preference: sediment (i1), leaf litter (i2), macrophytes (i3), rocks (i4), branches (i5), and water surface (i6). D. Morphological: (1) body armor: sclerotized body (j1), strong case/shell (j2), and without adaptation (j3); (2) maximum size: &lt;2.5 mm (k1), 2.5–5 mm (k2), 5–10 mm (k3), 11–20 mm (k4), 21–40 mm (k5), and 41–80 mm (k6); (3) body shape: streamlined (l1), flattened (l2), cylindrical (l3), and spherical (l4).</p>
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<p>Composition of the orders of aquatic macroinvertebrates in five temporary ponds located in the north of Colombia. It presents data for two distinct phases: the filling phase (A) and the drying phase (R). (<b>A</b>) pond 1; (<b>B</b>) pond 2; (<b>C</b>) pond 3; (<b>D</b>) pond 4; (<b>E</b>) pond 5.</p>
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17 pages, 13935 KiB  
Technical Note
Technological Advances to Rescue Temporary and Ephemeral Wetlands: Reducing Their Vulnerability, Making Them Visible
by Raquel Jiménez-Melero, Patricio Bohorquez, Inmaculada González-Planet, Francisco José Pérez-Latorre and Gema Parra
Remote Sens. 2023, 15(14), 3553; https://doi.org/10.3390/rs15143553 - 15 Jul 2023
Cited by 1 | Viewed by 1304
Abstract
Mediterranean temporary ponds are a priority habitat according to the Natura 2000 network of the European Union, and complete inventories of these ecosystems are therefore needed. Their small size, short hydroperiod, or severe disturbance make these ponds undetectable by most remote sensing systems. [...] Read more.
Mediterranean temporary ponds are a priority habitat according to the Natura 2000 network of the European Union, and complete inventories of these ecosystems are therefore needed. Their small size, short hydroperiod, or severe disturbance make these ponds undetectable by most remote sensing systems. Here we show, for the first time, that the distributed hydrologic model IBER+ detects ephemeral and even extinct wetlands by fully exploiting the available digital elevation model and resolving many microtopographic features at drainage basin scales of about 1000 km2. This paper aims to implement a methodology for siting flood-prone areas that can potentially host a temporary wetland, validating the results with historical orthophotos and existing wetlands inventories. Our model succeeds in dryland endorheic catchments of the Upper Guadalquivir Basin: it has detected 89% of the previously catalogued wetlands and found four new unknown wetlands. In addition, we have found that 24% of the detected wetlands have disappeared because of global change. Subsequently, environmental managers could use the proposed methodology to locate wetlands quickly and cheaply. Finding wetlands would help monitor their conservation and restore them if needed. Full article
(This article belongs to the Special Issue Advances in Remote Sensing of the Inland and Coastal Water Zones II)
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<p>Characteristics that make some wetlands undetectable through satellite imagery: (<b>A</b>,<b>B</b>) small size and/or very short hydroperiods; (<b>C</b>,<b>D</b>) anthropically drained; (<b>D</b>,<b>F</b>) transformed into farmland. Photos from A to F correspond to wetlands #26, 8, 16, 26, 7, 19, and 18 in <a href="#remotesensing-15-03553-f002" class="html-fig">Figure 2</a>.</p>
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<p>General view of the study areas in the Guadalquivir Basin (Salado de Arjona and Salado de Porcuna). Essential gullies and streams are indicated in blue, and the transport network is coloured in red. The analysed wetlands (see <a href="#sec3-remotesensing-15-03553" class="html-sec">Section 3</a>) are marked with green circles.</p>
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<p>Flowchart summarising the proposed methodology.</p>
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<p>Example of the raster locating some wetlands (<b>left</b>) and the corresponding orthophotos in the rainy year of 2013 (<b>right</b>). See <a href="#remotesensing-15-03553-f002" class="html-fig">Figure 2</a> for the specific locations of the wetlands in the catchment.</p>
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<p>New records: unknown wetlands detected by the proposed methodology. The left column shows the output raster that locates the wetlands, and the historical orthophotos in the middle and right columns corroborate the findings.</p>
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<p>Abandoned salt flats detected by the proposed methodology.</p>
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17 pages, 2102 KiB  
Article
Invasive Species Change Plant Community Composition of Preserved Prairie Pothole Wetlands
by Seth A. Jones, Edward S. DeKeyser, Cami Dixon and Breanna Kobiela
Plants 2023, 12(6), 1281; https://doi.org/10.3390/plants12061281 - 11 Mar 2023
Cited by 6 | Viewed by 1961
Abstract
Plant communities in North American prairie pothole wetlands vary depending on hydrology, salinity, and anthropogenic disturbance in and around the wetland. We assessed prairie pothole conditions on United States Fish and Wildlife Service fee-title lands in North Dakota and South Dakota to improve [...] Read more.
Plant communities in North American prairie pothole wetlands vary depending on hydrology, salinity, and anthropogenic disturbance in and around the wetland. We assessed prairie pothole conditions on United States Fish and Wildlife Service fee-title lands in North Dakota and South Dakota to improve our understanding of current conditions and plant community composition. Species-level data were collected at 200 randomly chosen temporary and seasonal wetland sites located on native prairie remnants (n = 48) and previously cultivated lands that were reseeded into perennial grassland (n = 152). The majority of species surveyed appeared infrequently and were low in relative cover. The four most frequently observed species were introduced invasive species common to the Prairie Pothole Region of North America. Our results suggested relative cover of a few invasive species (i.e., Bromus inermis Leyss., Phalaris arundinacea L., and Typha ×glauca Godr. (pro sp.) [angustifolia or domingensis × latifolia]) affect patterns of plant community composition. Wetlands in native and reseeded grasslands possessed distinct plant community composition related to invasive species’ relative cover. Invasive species continue to be prevalent throughout the region and pose a major threat to biological diversity, even in protected native prairie remnants. Despite efforts to convert past agricultural land into biologically diverse, productive ecosystems, invasive species continue to dominate these landscapes and are becoming prominent in prairie potholes located in native areas. Full article
(This article belongs to the Special Issue Plant Invasion 2022)
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<p>Non-metric multi-dimensional scaling ordinations for the low prairie vegetation zone (<b>a</b>) and wet meadow vegetation zone (<b>b</b>) of 59 temporary wetlands. Each triangle represents a temporary wetland located on native grassland and each circle represents a temporary wetland located on reseeded grassland. The relative size of site symbols (triangles/circles) indicates the relative cover of <span class="html-italic">Bromus inermis</span> in the low prairie zone (<b>a</b>) and <span class="html-italic">Phalaris arundinacea</span> in the wet meadow zone (<b>b</b>). Species’ correlations with each axis are included beneath the horizontal axis and to the left of the vertical axis (i.e., <span class="html-italic">B. inermis</span> in the low prairie vegetation zone (<b>a</b>); <span class="html-italic">P. arundinacea</span> in the wet meadow vegetation zone (<b>b</b>)).</p>
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<p>Non-metric multi-dimensional scaling ordinations for the low prairie vegetation zone (<b>a</b>), wet meadow vegetation zone (<b>b</b>), and shallow marsh vegetation zone (<b>c</b>) of 141 seasonal wetlands. Each triangle represents a seasonal wetland located on native grassland and each circle represents a seasonal wetland located on reseeded grassland. The relative size of site symbols (triangles/circles) indicates the relative cover of <span class="html-italic">Bromus inermis</span> in the low prairie zone (<b>a</b>), <span class="html-italic">Phalaris arundinacea</span> in the wet meadow zone (<b>b</b>), and <span class="html-italic">Typha ×glauca</span> in the shallow marsh zone (<b>c</b>). Species’ correlations with each axis are included beneath the horizontal axis and to the left of the vertical axis (i.e., <span class="html-italic">B. inermis</span> in the low prairie vegetation zone (<b>a</b>), <span class="html-italic">P. arundinacea</span> in the wet meadow vegetation zone (<b>b</b>), <span class="html-italic">T. ×glauca</span> in the shallow marsh zone (<b>c</b>)).</p>
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<p>Distribution of the 200 temporary and seasonal wetlands sampled, with the southern Prairie Pothole Region and North Dakota and South Dakota outlined. Sites visited in 2020 are shown in red, and sites visited in 2021 are shown in blue.</p>
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<p>Example quadrat layouts by vegetation zone for seasonal and temporary wetlands following DeKeyser et al. [<a href="#B15-plants-12-01281" class="html-bibr">15</a>] and Hargiss et al. [<a href="#B16-plants-12-01281" class="html-bibr">16</a>]. Quadrats (1 m<sup>2</sup>) in the exterior zones (low prairie and/or wet meadow zones) were placed near the center of the zone, with random but relatively even spacing around the wetland. Quadrats within the interior zone (shallow marsh for seasonal wetlands and wet meadow for temporary wetlands) were placed starting at the outer edge of the zone and progressing in a spiral fashion toward the center of the wetland.</p>
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16 pages, 6992 KiB  
Article
Wavelet Analysis on Groundwater, Surface-Water Levels and Water Temperature in Doñana National Park (Coastal Aquifer in Southwestern Spain)
by Jennifer Treviño, Miguel Rodríguez-Rodríguez, María José Montes-Vega, Héctor Aguilera, Ana Fernández-Ayuso and Nuria Fernández-Naranjo
Water 2023, 15(4), 796; https://doi.org/10.3390/w15040796 - 17 Feb 2023
Cited by 1 | Viewed by 2628
Abstract
The Doñana National Park (DNP) is a protected area with water resources drastically diminishing due to the unsustainable extraction of groundwater for agricultural irrigation and human consumption of a nearby coastal city. In this study, we explore the potential of wavelet analysis applied [...] Read more.
The Doñana National Park (DNP) is a protected area with water resources drastically diminishing due to the unsustainable extraction of groundwater for agricultural irrigation and human consumption of a nearby coastal city. In this study, we explore the potential of wavelet analysis applied to high-temporal-resolution groundwater-and-surface-water time series of temporary coastal ponds in the DNP. Wavelet analysis was used to measure the frequency of changes in water levels and water temperature, both crucial to our understanding of complex hydrodynamic patterns. Results show that the temporary ponds are groundwater-dependent ecosystems of a through-flow type and are still connected to the sand-dune aquifer, regardless of their hydrological affection, due to groundwater withdrawal. These ponds, even those most affected by pumping in nearby drills, are not perched over the saturated zone. This was proven by the evidence of a semi-diurnal (i.e., 6 h) signal in the surface-level time series of the shallow temporary ponds. This signal is, at the same time, related to the influence of the tides affecting the coastal sand-dune aquifer. Finally, we detected other hydrological processes that affect the ponds, such as evaporation and evapotranspiration, with a clear diurnal (12 h) signal. The maintenance of the ecological values and services to the society of this emblematic wetland is currently in jeopardy, due to the effect of the groundwater abstraction for irrigation. The results of this study contribute to the understanding of the behavior of these fragile ecosystems of DNP, and will also contribute to sound-integrated water-resource management. Full article
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<p>Hydrogeological sketch and structure of the Almonte–Marismas aquifer in southern Spain. The main Hydrogeological Units are as follows: L/MA stands for Miocene and Pliocene Unit (marls and silts). UD stands for Deltaic Unit (silts and sands). UM stands for Marsh Unit (clays and silts). UE stands for Aeolian Unit (fine-grained well-classified sands). UA stands for Alluvial Unit. Below, a cross section (CS) from W to E (CS 1) and from N to S (CS-2) can be seen. Modified from [<a href="#B29-water-15-00796" class="html-bibr">29</a>].</p>
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<p>Location of Doñana in southern Spain and study area. Notice the seven main piezometers, wells and ponds studied. Legend of sites: SOL: Santa Olalla pond; PSOLW: Piezometer in Santa Olalla pond; DUL: Dulce pond; ZAH: Zahillo pond; ZCHT: Excavation made in Charco del Toro dry pond; S10: Pumping well in Matalascañas (coastal-resort area) for urban water supply.</p>
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<p>Water-temperature evolution in the ponds and piezometers. (<b>A</b>). Santa-Olalla-pond water temperature. (<b>B</b>). Santa-Olalla-groundwater temperature, registered by piezometer. (<b>C</b>). Dulce-pond water temperature. (<b>D</b>). Zahillo-pond water temperature. (<b>E</b>). Charco-del-Toro-excavation water temperature. (<b>F</b>). Sensor-S10 (located in Matalascañas for urban water supply) groundwater temperature registered by piezometer. (<b>G</b>). Temperature evolution in all the points monitored; SOL: Santa Olalla pond. PSOLW: Piezometer in Santa Olalla pond. DUL: Dulce pond. ZAH: Zahillo pond. ZCHT: Charco del Toro excavation. S10: Pumping well in Matalascañas for urban water supply.</p>
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<p>Water-level evolution in the ponds and piezometers; rainfall (mm) is represented in the secondary Y axis. (<b>A</b>). Santa-Olalla-pond water level. (<b>B</b>). Santa-Olalla groundwater level registered by piezometer. (<b>C</b>). Dulce-pond water level. (<b>D</b>). Dulce-groundwater level registered by piezometer. (<b>E</b>). Zahillo-pond water level. (<b>F</b>). Charco-del-Toro excavation water level. (<b>G</b>). Sensor-S10 (located in Matalascañas for urban water supply) groundwater level registered by piezometer. (<b>H</b>). All measurements together are represented.</p>
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<p>Wavelet spectrograms. (<b>A</b>). Water-level wavelet analysis in Dulce pond. (<b>B</b>). Temperature wavelet analysis in Dulce pond. (<b>C</b>). Water-level wavelet analysis in SOL pond. (<b>D</b>). Temperature wavelet analysis in SOL pond.</p>
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<p>Wavelet spectrograms. (<b>A</b>). Water-level wavelet analysis in S10. (<b>B</b>). Temperature wavelet analysis in S10. (<b>C</b>). Groundwater-level wavelet analysis in PDUL piezometer. (<b>D</b>). Groundwater-level wavelet analysis in PSOLW piezometer.</p>
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<p>Hypothesis of the hydrogeological functioning of ZAH, SOL and DUL ponds based on the results obtained. (<b>A</b>). ZAH pond is dry but connected to the coastal aquifer. (<b>B</b>). DUL and SOL ponds are flooded and connected to the coastal aquifer. (<b>C</b>). ZAH pond is dry but disconnected from the coastal aquifer. (<b>D</b>). DUL and SOL ponds are flooded and disconnected from the coastal aquifer. Cases (<b>A</b>,<b>B</b>) (connection of ZAH, DUL and SOL ponds to the coastal aquifer) are the ones supported by the results obtained in this investigation.</p>
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<p>Cross-wavelet spectrograms. (<b>A</b>). Dulce Pond (DUL) surface-water-level water-temperature cross-wavelet spectrogram. (<b>B</b>). Santa Olalla (SOL) surface-water-level water-temperature cross-wavelet spectrogram. (<b>C</b>). Zahillo Pond (ZAH) surface-groundwater-level groundwater-temperature cross-wavelet spectrogram. (<b>D</b>). Santa-Olalla-Pond (PSOLW)-piezometer groundwater-level groundwater-temperature cross-wavelet spectrogram.</p>
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21 pages, 72718 KiB  
Article
Using UAV Photogrammetry and Automated Sensors to Assess Aquifer Recharge from a Coastal Wetland
by Santiago García-López, Mercedes Vélez-Nicolás, Javier Martínez-López, Angel Sánchez-Bellón, María Jesús Pacheco-Orellana, Verónica Ruiz-Ortiz, Juan José Muñoz-Pérez and Luis Barbero
Remote Sens. 2022, 14(24), 6185; https://doi.org/10.3390/rs14246185 - 7 Dec 2022
Cited by 2 | Viewed by 2163
Abstract
Novel data-acquisition technologies have revolutionized the study of natural systems, allowing the massive collection of information in situ and remotely. Merging these technologies improves the understanding of complex hydrological interactions, such as those of wetland–aquifer systems, and facilitates their conservation and management. This [...] Read more.
Novel data-acquisition technologies have revolutionized the study of natural systems, allowing the massive collection of information in situ and remotely. Merging these technologies improves the understanding of complex hydrological interactions, such as those of wetland–aquifer systems, and facilitates their conservation and management. This paper presents the combination of UAV technology with water level dataloggers for the study of a coastal temporary wetland linked to an underlying sandy aquifer and influenced by the tidal regime. Wetland morphology was defined using UAV imagery and SfM algorithms during the dry period. The DTM (6.9 cm resolution) was used to generate a flood model, which was subsequently validated with an orthophoto from a wet period. This information was combined with water stage records at 10-min intervals from a network of dataloggers to infer the water balance of the wetland and the transfers to the aquifer. Inflows into the pond were around 6200 m3 (40% direct precipitation over the pond, 60% surface runoff). Outputs equalled the inputs (41% direct evaporation from water surface, 59% transfers into the aquifer). The proposed methodology has demonstrated its suitability to unravel complex wetland–aquifer interactions and to provide reliable estimations of the elements of the water balance. Full article
(This article belongs to the Section Engineering Remote Sensing)
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<p>(<b>a</b>) Geological map of the study area. (<b>b</b>) Aerial photography of the studied area.</p>
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<p>Synthetic section of the recent detrital materials of the study area.</p>
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<p>Soil types in the study area. (<b>a</b>) Haplic arenosol of the dune ridge. (<b>b</b>) Gleyc Solonchak from saline lagoons. (<b>c</b>) Gleyc Cambisol from the freshwater lagoon.</p>
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<p>Workflow followed in this study.</p>
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<p>Image processing workflow.</p>
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<p>Hydrological monitoring network.</p>
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<p>Comparison between the flooded area for a water stage of 1.911 m obtained from the flood photogrammetric model (<b>a</b>) and the orthophotography displaying the real flooded area for the same stage on 20 March of 2018 (<b>b</b>). (<b>c</b>) Displays the matching surface and the differences (by excess and defect) with respect to the real flood extent. The ephemeral puddles located to the W of the trail were excluded from the analysis for being disconnected from the main wetland.</p>
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<p>Tide level records over a 4-week period, with indication of the mean sea level (local datum) and the evolution of the piezometric level in the observation point P4. For a better visualization of the latter, P4 fluctuations have been plotted using two different scales. On the left Y axis, the scale coincides with that used for the tidal level, in order to compare both variables. On the right Y axis, the scale has been enlarged in order to display small amplitude oscillations.</p>
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<p>Evolution of the water stage in La Vega pond and in three piezometers of the monitoring network. The distribution of precipitation recorded every 15 min at the APEMSA weather station is included.</p>
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<p>Simplified diagram of the three hydrodynamic situations that lead to differences in the infiltration rate. (<b>a</b>) The water stage is low and the piezometric level is below the pond´s bottom, favouring infiltration. (<b>b</b>) The piezometric surface bulges and reaches the bottom of the pond. Infiltration per unit section decreases. (<b>c</b>) The piezometric level reaches the pond stage. Infiltration ceases and water displays a horizontal, divergent radial flow.</p>
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<p>Relationship between variables that condition the rate of infiltration from the pond to the aquifer. (<b>a</b>) shows the evolution of the pond stage with the average piezometric level, (<b>b</b>) the evolution of the pond stage with the average water depth, (<b>c</b>) the evolution of the pond stage with the average thickness of the vadose zone and (<b>d</b>) the evolution of the pond stage with infiltration The orange points correspond to the pond stage at the pond´s central furrow.</p>
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<p>Temporal evolution of the elements of the water budget expressed as accumulated volumes. The evolution of the instantaneous volume stored in the pond is also displayed.</p>
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17 pages, 3837 KiB  
Article
Creating a Detailed Wetland Inventory with Sentinel-2 Time-Series Data and Google Earth Engine in the Prairie Pothole Region of Canada
by Evan R. DeLancey, Agatha Czekajlo, Lyle Boychuk, Fiona Gregory, Meisam Amani, Brian Brisco, Jahan Kariyeva and Jennifer N. Hird
Remote Sens. 2022, 14(14), 3401; https://doi.org/10.3390/rs14143401 - 15 Jul 2022
Cited by 4 | Viewed by 3985
Abstract
Wetlands in the Prairie Pothole Region (PPR) of Canada and the United States represent a unique mapping challenge. They are dynamic both seasonally and year-to-year, are very small, and frequently altered by human activity. Many efforts have been made to estimate the loss [...] Read more.
Wetlands in the Prairie Pothole Region (PPR) of Canada and the United States represent a unique mapping challenge. They are dynamic both seasonally and year-to-year, are very small, and frequently altered by human activity. Many efforts have been made to estimate the loss of these important habitats but a high-quality inventory of pothole wetlands is needed for data-driven conservation and management of these resources. Typical landcover classifications using one or two image dates from optical or Synthetic Aperture Radar (SAR) Earth Observation (EO) systems often produce reasonable wetland inventories for less dynamic, forested landscapes, but will miss many of the temporary and seasonal wetlands in the PPR. Past studies have attempted to capture PPR wetland dynamics by using dense image stacks of optical or SAR data. We build upon previous work, using 2017–2020 Sentinel-2 imagery processed through the Google Earth Engine (GEE) cloud computing platform to capture seasonal flooding dynamics of wetlands in a prairie pothole wetland landscape in Alberta, Canada. Using 36 different image dates, wetland flood frequency (hydroperiod) was calculated by classifying water/flooding in each image date. This product along with the Global Ecosystem Dynamics Investigation (GEDI) Canopy Height Model (CHM) was then used to generate a seven-class wetland inventory with wetlands classified as areas with seasonal but not permanent water/flooding. Overall accuracies of the resulting inventory were between 95% and 96% based on comparisons with local photo-interpreted inventories at the Canadian Wetland Classification System class level, while wetlands themselves were classified with approximately 70% accuracy. The high overall accuracy is due, in part, to a dominance of uplands in the PPR. This relatively simple method of classifying water through time generates reliable wetland maps but is only applicable to ecosystems with open/non-complex wetland types and may be highly sensitive to the timing of cloud-free optical imagery that captures peak wetland flooding (usually post snow melt). Based on this work, we suggest that expensive field or photo-interpretation training data may not be needed to map wetlands in the PPR as self-labeling of flooded and non-flooded areas in a few Sentinel-2 images is sufficient to classify water through time. Our approach demonstrates a framework for the operational mapping of small, dynamic PPR wetlands that relies on open-access EO data and does not require costly, independent training data. It is an important step towards the effective conservation and management of PPR wetlands, providing an efficient method for baseline and ongoing mapping in these dynamic environments. Full article
(This article belongs to the Special Issue Wetland Monitoring Using Remote Sensing)
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<p>Study area located in the Grassland Natural Region of southern Alberta, Canada, and its coverage in the Prairie Pothole Region. Background is the Esri Light Gray Canvas baselayer [<a href="#B38-remotesensing-14-03401" class="html-bibr">38</a>]. (Sources: Esri, HERE, Garmin, FAO, NOAA, USGS, © OpenStreetMap contributors, and the GIS User Community).</p>
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<p>S2 RGB mosaics for spring (2018), summer (2020), and fall (2020) with a zoomed map inset showcasing seasonal flood dynamics of prairie potholes.</p>
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<p>The hydroperiod for 2017–2020 showing flood frequency (%) classes from 1–100%. Circled map insets (<b>A</b>–<b>E</b>) show select magnified regions. Background is a DEM-derived hillshade.</p>
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<p>The seven-class wetland inventory for the study area. Two insets show areas with different wetland classes and permanence. Background is the Esri Terrain with Labels baselayer [<a href="#B42-remotesensing-14-03401" class="html-bibr">42</a>]. (Sources: Esri, HERE, Garmin, FAO, NOAA, USGS, © OpenStreetMap contributors, and the GIS User Community).</p>
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<p>Close-up view of a section of the wetland inventory product with comparison to the Esri World Imagery baselayer [<a href="#B43-remotesensing-14-03401" class="html-bibr">43</a>] (ESRI Canada, HERE, Garmin, NOAA, USGS, EPA, NRCAN, Parks Canada, CGIAR, Vulcan County, Maxar). The three levels of marsh permanence can be seen in this one area.</p>
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<p>Comparison between (<b>a</b>) the time-series-based inventory for this study, and (<b>b</b>) the SPOT-derived Alberta Merged Wetland Inventory for an area with significant amounts of seasonal and temporary pothole wetlands. Background is the Esri World Imagery baselayer [<a href="#B43-remotesensing-14-03401" class="html-bibr">43</a>] (Source: Forty Mile County No. 8, Village of Warner, Maxar).</p>
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19 pages, 6566 KiB  
Article
Coastal Dynamics Initiate, Relocate and Terminate Short-Lived Wetlands of Dune Slacks, Manawatū, New Zealand
by Sylvia P. Villacís Lozada and Gillian L. Rapson
Land 2022, 11(7), 980; https://doi.org/10.3390/land11070980 - 28 Jun 2022
Cited by 1 | Viewed by 1930
Abstract
Dunelands are one of the most dynamic environments on Earth, which greatly hinders their conservation and management. In the dune slacks along the Manawatū coast, New Zealand, lies a zone of small, temporary, freshwater wetlands that host early seral communities of rare turf [...] Read more.
Dunelands are one of the most dynamic environments on Earth, which greatly hinders their conservation and management. In the dune slacks along the Manawatū coast, New Zealand, lies a zone of small, temporary, freshwater wetlands that host early seral communities of rare turf plants. Analysis of historical aerial photos allowed determination of coastline movement, distance of the wetlands from the coast, and wetland movements through time. Study sites were around the coastal settlements of Tangimoana and Foxton Beach, both having major rivers debouching nearby, and Himatangi, amongst stabilising exotic pine plantations. The coastline is prograding (with seaward movement) generally by 0.7–1 m yr−1, but is more variable closer to river mouths, with episodes of movement of up to 15 m yr−1. Wetlands occur 200–400 m behind the strandline, are closer to the coast at Foxton Beach, and furthest away at Himatangi. Wetlands wobble in their position at 5.2 m yr−1 but migrate inland at an average of 2.7 m yr−1. Wetland size appears unrelated to rainfall, but may be related positively to coastal progradation rate, to which wetland movement is negatively related. Near the major rivers, dunes are less stable, and wetlands can be impacted both positively and negatively. Wetland existence and movement is balanced between stability and dynamism on the coast, and management will need to be proactive to maintain environments for early successional turfs. Full article
(This article belongs to the Special Issue Protection, Management and Restoration of Coastal Ecosystems)
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Figure 1

Figure 1
<p>Location map of study sites along the Fox-Tangi portion of the Manawatū bight, North Island, New Zealand. Study sites are immediately south of Tangimoana and Himitangi, and north of Foxton Beach. The brown shades are the Holocene dune phases, <span class="html-italic">sensu</span> Muckersie and Shepherd [<a href="#B38-land-11-00980" class="html-bibr">38</a>], surrounding the study sites.</p>
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<p>(<b>a</b>) Well-turfed wetland surrounded by mobile sand dunes and bearing tracks of (illegal) recreational off-road vehicles; Foxton Beach (Wetland F3; 3 March 2018); (<b>b</b>) Young wetland with a floor of <span class="html-italic">Goodenia heenanii</span> turf with scattered <span class="html-italic">Carex pumila</span> tufts, surrounded by invasive alien species on the parabola’s horns; Foxton Beach (upper part of Wetland F2; 25 May 2015). Images: G. Rapson.</p>
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<p>(<b>a</b>) New foredune forming in front of the existing foredune, southern Tangimoana, 5 March 2012. The bluish-green is the native foredune-binder <span class="html-italic">Spinifex sericeus</span>, and the dull-green tufts are alien <span class="html-italic">Ammophila arenaria</span>, all plants being self-introduced. Image: G. Rapson. (<b>b</b>) Oblique aerial from August 2004 of wetlands at Himatangi (H) embedded amongst pine plantation to 10 m tall (dark green). The wetland numbers are as per Villacís Lozada and Rapson [<a href="#B63-land-11-00980" class="html-bibr">63</a>]. Note the presence of wetlands H3 and H4 in the same parabola, separated by a transgressive dune. Image: Roger Shand.</p>
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<p>Coastal movement rates at the Rangitikei River Mouth, Tangimoana, Himatangi and Foxton Beach against date of imagery. Note that missing bars do not imply values of zero.</p>
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<p>Distance from the wetlands to the coastline at the time of each image, by year at each of (<b>a</b>) Tangimoana, (<b>b</b>) Himatangi and (<b>c</b>) Foxton Beach. Symbols and colours as per key for each wetland (W) number, regardless of site. Lines are drawn to interpret, not to interpolate. At Tangimoana, wetlands 8 (1958) and 8a (1979–1990) are separate and distinct.</p>
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<p>Location and movement of the centroid of each wetland through time for each of the available images at Tangimoana. The aerial photo of 2012 is used as the basal image. For T7, the wetland did not appear in the image of 1995, and its missing situation is indicated by a query sign.</p>
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<p>Location and movement of the centroid of each wetland through time in Foxton Beach. The aerial photo of 2012 is used as the basal image. F1 is the W-shaped wetland, formed by coalescence of two adjacent parabolic systems, and kept open by vehicle tracks.</p>
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<p>Total rainfall by season and by (non-sequential) year of the images of the study sites.</p>
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<p>Fitted lines, colour-coded by study site, for the relationship between (<b>a</b>) the area of each wetland and rainfall in the season of the image, (<b>b</b>) area and coastal progradation rate over the period before the image, and (<b>c</b>) coastal progradation rate against rate of wetland movement inland.</p>
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73 pages, 11334 KiB  
Article
The Plant Communities of the Class Isoëto-Nanojuncetea in Sicily
by Salvatore Brullo, Cristian Brullo, Saverio Sciandrello, Gianmarco Tavilla, Salvatore Cambria, Valeria Tomaselli, Vincenzo Ilardi, Gianpietro Giusso del Galdo and Pietro Minissale
Plants 2022, 11(9), 1214; https://doi.org/10.3390/plants11091214 - 29 Apr 2022
Cited by 12 | Viewed by 3121
Abstract
A syntaxonomical revision of the Isoëto-Nanojuncetea class for the Sicilian territory is provided. This syntaxon gathers the ephemeral herbaceous hygrophilous plant communities linked to periodically submerged soils, widely distributed in the European, circum-Mediterranean and Macaronesian territories. Within this class, two orders are recognized, [...] Read more.
A syntaxonomical revision of the Isoëto-Nanojuncetea class for the Sicilian territory is provided. This syntaxon gathers the ephemeral herbaceous hygrophilous plant communities linked to periodically submerged soils, widely distributed in the European, circum-Mediterranean and Macaronesian territories. Within this class, two orders are recognized, lsoëtetalia, with a prevalently Mediterranean distribution, and Nanocyperetalia chiefly occurring in the central-European and Atlantic territories, with scattered and marginal occurrence in the Mediterranean area. The order Isoëtetalia in Sicily is represented by four alliances, i.e., Isoëtion, Preslion cervinae, Cicendio-Solenopsion laurentiae and Agrostion salmanticae, while within Nanocyperetalia three alliances can be recognized, namely Nanocyperion, Verbenion supinae and Lythrion tribracteati. Overall, 32 plant communities are recognized, 11 of which are described for the first time. Each higher rank syntaxa and related associations are examined from a nomenclatural, floristic, ecological and chorological point of view. In particular, the associations were processed using cluster analysis in order to highlight the correlations between them. Regarding the floristic aspects, a checklist of the species occurring in the phytosociological relevés is provided, as well as a new combination concerning Solenopsis gasparrinii, a critical species of the Sicilian flora, is proposed. Full article
(This article belongs to the Section Plant Ecology)
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<p>Sicily map from ESRI basemap imagery (modified).</p>
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<p>Sicilian habitats colonized by plant communities belonging to <italic>Iso</italic><italic>ëto-Nanojuncetea</italic>: (<bold>A</bold>) Waterlogged soils from Isola Lunga dello Stagnone with <italic>Solenopsietum mothianae</italic>; (<bold>B</bold>) Cupular pools from Isola Lunga dello Stagnone with vegetation of <italic>Iso</italic><italic>ëtion</italic>; (<bold>C</bold>) Temporary streams from Anguillara (Catalafimi) with <italic>Isoetes longissima</italic> population; (<bold>D</bold>) Drainage ditches from Cozzo Ogliastri (Sortino) with <italic>Junco pygmaei-Pilularietum minutae</italic>; (<bold>E</bold>) Cupular pools from Hyblean Plateau (Modica) with <italic>Lythro hyssopifoliae-Elatinetum macropodae</italic>; (<bold>F</bold>) Cupular pools from Lampedusa Island with <italic>Crassulo vaillantii-Elatinetum gussonei</italic>. (Photos of the Authors).</p>
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<p>Sicilian habitats colonized by plant communities belonging to <italic>Iso</italic><italic>ëto-Nanojuncetea</italic>: (<bold>A</bold>) Doline from Piano Battaglia (Madonie) with <italic>Myosuro minimi-Ranunculetum lateriflori</italic>; (<bold>B</bold>) Large wetlands from Ficuzza with <italic>Trifolio micheliani-Agrostidetum pourretii</italic>; (<bold>C</bold>) Temporary streams from Gurrida Lake (Randazzo) with <italic>Coronopo squamati-Sisymbrelletum dentatae</italic>; (<bold>D</bold>) Temporary streams from Piana del Signore (Gela) with <italic>Damasonio bourgaei-Crypsietum aculeatae</italic>; (<bold>E</bold>) Cupular pools from Cozzo Ogliastri (Sortino) with <italic>Archidio phascoidis-Isoetetum velatae</italic>; (<bold>F</bold>) Artificial basin from Piana degli Albanesi (Palermo) with <italic>Glino lotoidis-Verbenetum supinae</italic>. (Photos of the Authors).</p>
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<p>Sicilian habitats colonized by plant communities belonging to <italic>Iso</italic><italic>ëto-Nanojuncetea</italic>: (<bold>A</bold>) Calcarenitic rocky pools from Isola Lunga dello Stagnone with <italic>Buillardio vaillantii-Elatinetum campylospermae</italic>; (<bold>B</bold>) Calcareous rocky pools from Syracuse with <italic>Lythro hyssopifoliae-Elatinetum macropodae</italic>; (<bold>C</bold>,<bold>D</bold>) Basaltic rocky pools from Cozzo Ogliastri (Sortino) with <italic>Archidio phascoidis-Isoetetum velatae</italic>; (<bold>E</bold>) Temporary streams from Piana del Signore (Gela) with <italic>Damasonio bourgaei-Crypsietum aculeatae</italic>; (<bold>F</bold>) Siliceous temporary streams from Fiumedinisi with <italic>Plantago intermediae-Cyperetum fusci</italic>; (<bold>G</bold>) Drainage ditches from Cozzo Ogliastri (Sortino) with <italic>Junco pygmaei-Pilularietum minutae</italic>; (<bold>H</bold>) Shore of the artificial basin from Poma Lake (Partinico) with <italic>Heliotropio supini-Heleochloetum schoenoidis</italic>. (Photos of the Authors).</p>
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<p>Hygrophilous species occurring in the plant communities of <italic>Iso</italic><italic>ëto-Nanojuncetea</italic>: (<bold>A</bold>) <italic>Solenopsis gasparrinii</italic> from Anguillara (Catalafimi); (<bold>B</bold>) <italic>Solenopsis laurentia</italic> subsp. <italic>hyblaea</italic> from Cozzo Ogliastri (Sortino); (<bold>C</bold>) <italic>Pilularia minuta</italic> from Cozzo Ogliastri (Sortino); (<bold>D</bold>) <italic>Cicendia filiformis</italic> from Isola Lunga dello Stagnone; (<bold>E</bold>) <italic>Elatine campylosperma</italic> from Castelvetrano; (<bold>F</bold>) <italic>Elatine macropoda</italic> from Syracuse; (<bold>G</bold>) <italic>Ranunculus saniculifolius</italic> and <italic>Callitriche brutia</italic> from Hyblean Plateau; (<bold>H</bold>) <italic>Ranunculus ophioglossifolius</italic> from Cozzo Ogliastri (Sortino); (<bold>I</bold>) <italic>Myosurus minimus</italic> from Madonie; (<bold>J</bold>) <italic>Ranunculus lateriflorus</italic> from Cozzo Ogliastri (Sortino); (<bold>K</bold>) <italic>Anthinoria insularis</italic> from Monte Lauro (Hyblean Plateau); (<bold>L</bold>) <italic>Lythrum tribracteatum</italic> from Piana del Signore (Gela); (<bold>M</bold>) <italic>Damasonium bourgaei</italic> from Piana del Signore (Gela); (<bold>N</bold>) <italic>Sisymbrella dentata</italic> from Gurrida lake (Randazzo). (Photos of the Authors).</p>
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<p>Dendrogram resulting from the cluster analysis of the data set; different colours correspond to different alliances: <bold>1</bold>. <italic>Isöetion</italic>; <bold>2</bold>. <italic>Preslion cervinae</italic>; <bold>3</bold>. <italic>Cicendio-Solenopsion laurentiae</italic>; <bold>4</bold>. <italic>Lythrion tribracteati</italic>; <bold>5</bold>. <italic>Verbenion supinae</italic>; <bold>6</bold>. <italic>Nanocyperion flavescentis</italic>; <bold>7</bold>. <italic>Agrostion salmanticae</italic>.</p>
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<p>DCA ordination (axis 1 and 2) plot of the data set, with single relevés marked according to different alliances: <bold>1</bold>. <italic>Isöetion</italic>; <bold>2</bold>. <italic>Preslion cervinae</italic>; <bold>3</bold>. <italic>Cicendio-Solenopsion laurentiae</italic>; <bold>4</bold>. <italic>Lythrion tribracteati</italic>; <bold>5</bold>. <italic>Verbenion supinae</italic>; <bold>6</bold>. <italic>Nanocyperion flavescentis</italic>; <bold>7</bold>. <italic>Agrostion salmanticae</italic>.</p>
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<p>DCA ordination (axis 1 and 2) plot of the data set, with single relevés marked according to orders: <bold>1</bold>. <italic>Isöetalia</italic>; <bold>2</bold>. <italic>Nanocyperetalia</italic>.</p>
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<p>Geographical distribution of the <italic>Isoëtion</italic> associations in Sicily.</p>
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<p>Geographical distribution of the <italic>Preslion cervinae</italic> associations in Sicily.</p>
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<p>Geographical distribution of the <italic>Cicendio-Solenopsion laurentiae</italic> (black dot) and <italic>Agrostion salmanticae</italic> associations in Sicily (red dot).</p>
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<p>Geographical distribution of the <italic>Nanocyperion flavescentis</italic> (black dot), <italic>Verbenion supinae</italic> (red dot) and <italic>Lythrion tribracteati</italic> (blue dot) associations in Sicily.</p>
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