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29 pages, 39045 KiB  
Article
Ecological Functional Zoning in Urban Fringe Areas Based on the Trade-Offs Between Ecological–Social Values in Ecosystem Services: A Case Study of Jiangning District, Nanjing
by Ning Xu and Haoran Duan
Land 2024, 13(11), 1957; https://doi.org/10.3390/land13111957 - 20 Nov 2024
Viewed by 256
Abstract
Amid the rapid socio-economic development of urban fringe areas, promoting the multi-functional supply of ecosystems and sustainable development is essential. Taking Jiangning District in Nanjing as a case study, this study explores the relationships and spatial clustering characteristics among various ecosystem service values [...] Read more.
Amid the rapid socio-economic development of urban fringe areas, promoting the multi-functional supply of ecosystems and sustainable development is essential. Taking Jiangning District in Nanjing as a case study, this study explores the relationships and spatial clustering characteristics among various ecosystem service values in urban fringe areas, focusing on the trade-offs between ecological and social values. Ecological functional zones were delineated based on the ecosystem service clustering results and regional conjugation principles, followed by an analysis of the trade-offs and synergies among the values within each zone. The findings reveal the following: (1) trade-offs between ecological and social ecosystem service values are prevalent across the entire region, as well as within sub-regions in urban fringe areas; (2) Jiangning District can be divided into five key ecological functional zones—the Vibrant Industry-Urbanization Integration Zone, Important Habitat Conservation Zone, Livable Organic Renewal Zone, Characteristic Rural Landscape Development Zone, and Riparian Recreation and Ecological Conservation Zone. Each zone exhibits significant differences in the types and features of the services provided; and (3) understanding the relationships among ecological and social values within each zone may help to resolve trade-offs between them. This progressive trade-off analysis, from the regional to sub-regional level, enables more precise identification of ecosystem functions, providing reference for decision-making to enhance the overall regional value and guide sustainable planning and management practices in urban fringe areas. Full article
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<p>Location map of Jiangning District.</p>
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<p>Framework of proposed research methods.</p>
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<p>Quantitative analysis of the degree of ecosystem service value application in recent spatial planning efforts in Jiangning District.</p>
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<p>Spatial distribution of ecosystem service ecological value levels in Jiangning District.</p>
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<p>Spatial distribution pattern of social value levels of ecosystem services in Jiangning District.</p>
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<p>Spatial distribution pattern of comprehensive ecological value of ecosystem services in Jiangning District.</p>
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<p>Spatial distribution of comprehensive social value of ecosystem services in Jiangning District.</p>
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<p>Correlation coefficient matrix of ecological–social values of ecosystem services in Jiangning District.</p>
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<p>LISA clustering of ecological–social values in ecosystem services.</p>
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<p>LISA significance of ecological–social values in ecosystem services.</p>
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<p>Sum of squared errors within cluster statistics.</p>
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<p>Spatial distribution pattern of ecosystem service clusters in Jiangning District and area proportion by street.</p>
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<p>Ecological functional zoning in Jiangning District.</p>
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<p>Spatial pattern of the Vibrant Integration Zone of Industry and Urbanization and the distribution of ecosystem service values. (<b>A</b>) Spatial distribution of the Vibrant Integration Zone of Industry and Urbanization and land use distribution. (<b>B</b>) Average ecosystem service values within the zone and the differences from overall values.</p>
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<p>Spatial pattern of the Important Habitat Conservation Zone and the distribution of ecosystem service values. (<b>A</b>) Spatial distribution of the Important Habitat Conservation Zone and land use distribution. (<b>B</b>) Average ecosystem service values within the zone and the differences from overall values.</p>
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<p>Spatial pattern of the Livable Organic Renewal Zone and the distribution of ecosystem service values. (<b>A</b>) Spatial distribution of the Livable Organic Renewal Zone and land use distribution. (<b>B</b>) Average ecosystem service values within the zone and the differences from overall values.</p>
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<p>Spatial pattern of the Characteristic Rural Landscape Development Zone and the distribution of ecosystem service values. (<b>A</b>) Spatial distribution pattern of the Characteristic Rural Landscape Development Zone and land use distribution. (<b>B</b>) Average ecosystem service values within the zone and the differences from overall values.</p>
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<p>Spatial pattern of the Riparian Recreation And Ecological Conservation Zone and the distribution of ecosystem service values. (<b>A</b>) Spatial distribution pattern of the Riparian Recreation And Ecological Conservation Zone and land use distribution. (<b>B</b>) Average ecosystem service values within the zone and the differences from overall values.</p>
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<p>Correlation coefficient matrices of ecological–social values of ecosystem services in the ecological functional zones of Jiangning District.</p>
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<p>Types and proportions of spatial clusters for ecological–social values within ecological functional zones in Jiangning District.</p>
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18 pages, 2077 KiB  
Article
Ecological Environment Assessment System in River–Riparian Areas Based on a Protocol for Hydromorphological Quality Evaluation
by Lan Duo, Martí Sánchez-Juny and Ernest Bladé i Castellet
Water 2024, 16(21), 3025; https://doi.org/10.3390/w16213025 - 22 Oct 2024
Viewed by 522
Abstract
This paper aims to propose a method for the evaluation of the hydromorphological quality of a river and its riparian areas using three essential components: morphological characterization, river connectivity, and vegetation coverage. The method has been applied to the Tordera river in Catalonia, [...] Read more.
This paper aims to propose a method for the evaluation of the hydromorphological quality of a river and its riparian areas using three essential components: morphological characterization, river connectivity, and vegetation coverage. The method has been applied to the Tordera river in Catalonia, Spain. The general goal is to establish a riparian environment assessment tool by proposing parameters for each of the three mentioned aspects. This approach relies on data collection and evaluation with a simple computational procedure for eliminating subjectivity in the weighting and classification of evaluation levels. In the proposed methodology, the weights of the indicators are determined by the Distance Correlation-Based CRITIC (D-CRITIC) method, and the results are integrated using the Coupling Coordination Degree Model (CCDM). The proposed methodology quantifies assessment parameters and analyzes the environmental problems faced by riparian zones and rivers through the parameters and the results of the CCDM and thus can be used as a basis for proposing methods to improve the ecological situation. The results can be used for the enhancement of the coordination between the development of riparian resources and the requirements of ecosystem protection and utilization, and they can be used to promote the healthy development of ecological environments and the effective use of riparian resources. Full article
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<p>Study area location with the results of the riparian area simulation and division into sub-reaches 1 to 10 from upstream to downstream.</p>
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25 pages, 6907 KiB  
Article
Geoenvironmental Effects of the Hydric Relationship Between the Del Sauce Wetland and the Laguna Verde Detritic Coastal Aquifer, Central Chile
by Blanca Gana, José Miguel Andreu Rodes, Paula Díaz, Agustín Balboa, Sebastián Frías, Andrea Ávila, Cecilia Rivera, Claudio A. Sáez and Céline Lavergne
Hydrology 2024, 11(10), 174; https://doi.org/10.3390/hydrology11100174 - 16 Oct 2024
Viewed by 1003
Abstract
In the central region of Chile, the Mega-Drought together with the demographic increase near the coast threatens groundwater availability and the hydrogeological functioning of coastal wetlands. To understand the hydric relationship between an aquifer and a wetland in a semi-arid coastal region of [...] Read more.
In the central region of Chile, the Mega-Drought together with the demographic increase near the coast threatens groundwater availability and the hydrogeological functioning of coastal wetlands. To understand the hydric relationship between an aquifer and a wetland in a semi-arid coastal region of Central Chile (Valparaíso, Chile), as well as its geoenvironmental effects, four data collection campaigns were conducted in the wetland–estuary hydric system and surroundings, between 2021 and 2022, including physical, hydrochemical, and isotopic analyses in groundwater (n = 16 sites) and surface water (n = 8 sites). The results generated a conceptual model that indicates a hydraulic connection between the wetland and the aquifer, where the water use in one affects the availability in the other. With an average precipitation of 400 mm per year, the main recharge for both systems is rainwater. Three specific sources of pollution were identified from anthropic discharges that affect the water quality of the wetland and the estuary (flow from sanitary landfill, agricultural and livestock industry, and septic tank discharges in populated areas), exacerbated by the infiltration of seawater laterally and superficially through sandy sediments and the estuary, increasing salinity and electrical conductivity in the coastal zone (i.e., 3694 µS/cm). The Del Sauce subbasin faces strong hydric stress triggered by the poor conservation state of the riparian–coastal wetland and groundwater in the same area. This study provides a detailed understanding of hydrological interactions and serves as a model for understanding the possible effects on similar ecosystems, highlighting the need for integrated and appropriate environmental management. Full article
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<p>Map of the studied area: Left: Chile in South America and location of Valparaíso region (in yellow). Right–above: location of the Peñuelas Lake basin and the Del Sauce microbasin. Right–below: geologic map of the Del Sauce microbasin, hydrographic network with flow direction, highlighting the location of the Del Sauce wetland and industrial areas.</p>
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<p>Location of sampling sites and physicochemical data collection: Above: location map of the study area and sampling points for surface water, groundwater, and rainwater collectors. Below–left: details of the coastal and middle zone; below–right: details of the inland zone.</p>
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<p>Average precipitation in the studied area: (<b>a</b>) monthly average precipitation for the period 1992–2022. (<b>b</b>) annual average precipitation for the periods 1992–2022 (red), 2010–2022 (dark gray), and detail of annual precipitation for each year between 2010 and 2022 (light gray).</p>
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<p>(<b>a</b>) Hydrogeological units in the Del Sauce microbasin. (<b>b</b>) Details of geological units of HU1.</p>
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<p>(<b>a</b>) Location of the Laguna Verde aquifer, with details of the Piezometric map for summer 2022 (December to March, austral dry season). (<b>b</b>) Location of the Laguna Verde aquifer, with details of the Piezometric map winter 2022 (June to August, austral rainy season) isopiestics every 1 m. Red arrows indicate recharge zones to the Laguna Verde aquifer.</p>
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<p>Piper diagrams for surface water of the study area in summer 2022 (left) and winter 2022 (right).</p>
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<p>Laguna Verde aquifer hydrochemical maps, modified Stiff (left) and Piper (right) diagrams, for seasons: (<b>a</b>) spring 2021; (<b>b</b>) summer 2022; (<b>c</b>) autumn 2022; (<b>d</b>) winter 2022.</p>
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<p>Laguna Verde aquifer hydrochemical maps, modified Stiff (left) and Piper (right) diagrams, for seasons: (<b>a</b>) spring 2021; (<b>b</b>) summer 2022; (<b>c</b>) autumn 2022; (<b>d</b>) winter 2022.</p>
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<p>Comparative plot between ionic ratios of the studied hydric system. Superficial waters are highlighted in color and groundwaters are represented in black.</p>
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<p>Diagrams of water isotopes δ<sup>18</sup>O ‰ and δ<sup>2</sup>H ‰ V SMOW for the total waters sampled in the four sampling campaigns: (<b>a</b>) spring, (<b>b</b>) summer, (<b>c</b>) autumn, (<b>d</b>) winter. In blue, global meteoric water line (GMWL).</p>
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<p>Conceptual hydrogeological–hydrogeochemical model of the Del Sauce wetland–Laguna Verde aquifer hydric system. Schematic plan view.</p>
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16 pages, 12239 KiB  
Article
Biodiversity and Soil Reinforcement Effect of Vegetation Buffer Zones: A Case Study of the Tongnan Section of the Fujiang River Basin
by Xinhao Wang, Dongsheng Liu, Zhihui Chang, Jiang Tang, Yunqi Wang, Yanlei Wang, Sheng Huang, Tong Li, Zihan Qi and Yue Hu
Water 2024, 16(19), 2847; https://doi.org/10.3390/w16192847 - 7 Oct 2024
Viewed by 651
Abstract
The riparian vegetation buffer zone is an important component of riverbank ecosystems, playing a crucial role in soil consolidation and slope protection. In this study, the riparian vegetation buffer zones in the Tongnan section of the Fujiang River Basin were selected as the [...] Read more.
The riparian vegetation buffer zone is an important component of riverbank ecosystems, playing a crucial role in soil consolidation and slope protection. In this study, the riparian vegetation buffer zones in the Tongnan section of the Fujiang River Basin were selected as the research object. Surveys and experiments were conducted to assess the species composition and the soil and water conservation effectiveness of the riparian vegetation buffer zone. There are a total of 35 species, mainly comprising angiosperms and ferns. The dominant species include Cynodon dactylon, Setaria viridis, Phragmites australis, Erigeron canadensis, and Melilotus officinalis. The Patrick richness index (R) and Shannon–Wiener diversity index (H) are more significantly influenced by the types of land use in the surrounding area, whereas the impact on the Simpson diversity index (D) and Pielou uniformity index (E) is comparatively less pronounced. When the root diameter is less than 0.2 mm, the tensile strength of Cynodon dactylon roots is the highest. For root diameters larger than 0.2 mm, Melilotus officinalis roots exhibit the highest tensile strength. The presence of plant root systems significantly reduces erosion, delaying the time to reach maximum erosion depth by 1–4 min, decreasing erosion depth by 9–38 mm, and reducing the total amount of erosion by 20.17–58.90%. The anti-scouribility effect of Cynodon dactylon is significantly better than that of Setaria viridis. The root system notably enhances soil shear strength, delaying the shear peak by 0.26–4.8 cm, increasing the shear peak by 4.76–11.37 kPa, and raising energy consumption by 23.76–46.11%. Phragmites australis has the best resistance to shear, followed by Erigeron canadensis, with Melilotus officinalis being the least resistant. Therefore, to balance the anti-scouribility effect and shear resistance of plant roots, it is recommended to use a combination of Cynodon dactylon and Phragmites australis for shallow-rooted and deep-rooted planting. This approach enhances the water and soil conservation capacity of riverbanks. Full article
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<p>Location of sample plots.</p>
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<p>The photo of plot survey.</p>
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<p>Determination of root mechanical properties and morphological characteristics: (<b>a</b>) universal testing machine and (<b>b</b>) root morphology measurement.</p>
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<p>The erosion hole formed after erosion: (<b>a</b>) bare soil and (<b>b</b>) roots.</p>
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<p>Photos of root–soil composite samples and direct shear tests.</p>
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<p>Photos of some plant samples.</p>
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<p>Biodiversity Analysis of communities.</p>
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<p>Biodiversity analysis of different surrounding land sue.</p>
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<p>Root diameter distribution.</p>
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<p>The tensile strength of roots.</p>
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<p>The change of erosion depth over time. (<b>a</b>) <span class="html-italic">Cynodon dactylon</span>; (<b>b</b>) <span class="html-italic">Setaria viridis.</span></p>
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<p>The relationship between erosion mount and root biomass parameter.</p>
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<p>Relationship between shear stress and displacement.</p>
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29 pages, 4860 KiB  
Review
UAV Quantitative Remote Sensing of Riparian Zone Vegetation for River and Lake Health Assessment: A Review
by Fei Song, Wenyong Zhang, Tenggang Yuan, Zhenqing Ji, Zhiyu Cao, Baorong Xu, Lei Lu and Songbing Zou
Remote Sens. 2024, 16(19), 3560; https://doi.org/10.3390/rs16193560 - 25 Sep 2024
Viewed by 1514
Abstract
River and lake health assessment (RLHA) is an important approach to alleviating the conflict between protecting river and lake ecosystems and fostering socioeconomic development, aiming for comprehensive protection, governance, and management. Vegetation, a key component of the riparian zone, supports and maintains river [...] Read more.
River and lake health assessment (RLHA) is an important approach to alleviating the conflict between protecting river and lake ecosystems and fostering socioeconomic development, aiming for comprehensive protection, governance, and management. Vegetation, a key component of the riparian zone, supports and maintains river and lake health (RLH) by providing a range of ecological functions. While research on riparian zone vegetation is ongoing, these studies have not yet been synthesized from the perspective of integrating RLHA with the ecological functions of riparian zone vegetation. In this paper, based on the bibliometric method, the relevant literature studies on the topics of RLHA and unmanned aerial vehicle (UAV) remote sensing of vegetation were screened and counted, and the keywords were highlighted, respectively. Based on the connotation of RLH, this paper categorizes the indicators of RLHA into five aspects: water space: the critical area from the river and lake water body to the land in the riparian zone; water resources: the amount of water in the river and lake; water environment: the quality of water in the river and lake; water ecology:aquatic organisms in the river and lake; and water services:the function of ecosystem services in the river and lake. Based on these five aspects, this paper analyzes the key role of riparian zone vegetation in RLHA. In this paper, the key roles of riparian zone vegetation in RLHA are summarized as follows: stabilizing riverbanks, purifying water quality, regulating water temperature, providing food, replenishing groundwater, providing biological habitats, and beautifying human habitats. This paper analyzes the application of riparian zone vegetation ecological functions in RLH, summarizing the correlation between RLHA indicators and these ecological functions. Moreover, this paper analyzes the advantages of UAV remote sensing technology in the quantitative monitoring of riparian zone vegetation. This analysis is based on the high spatial and temporal resolution characteristics of UAV remote sensing technology and focuses on monitoring the ecological functions of riparian zone vegetation. On this basis, this paper summarizes the content and indicators of UAV quantitative remote sensing monitoring of riparian zone vegetation for RLHA. It covers several aspects: delineation of riparian zone extent, identification of vegetation types and distribution, the influence of vegetation on changes in the river floodplain, vegetation cover, plant diversity, and the impact of vegetation distribution on biological habitat. This paper summarizes the monitoring objects involved in monitoring riparian zones, riparian zone vegetation, river floodplains, and biological habitats, and summarizes the monitoring indicators for each category. Finally, this paper analyzes the challenges of UAV quantitative remote sensing for riparian zone vegetation at the current stage, including the limitations of UAV platforms and sensors, and the complexity of UAV remote sensing data information. This paper envisages the future application prospects of UAV quantitative remote sensing for riparian zone vegetation, including the development of hardware and software such as UAV platforms, sensors, and data technologies, as well as the development of integrated air-to-ground monitoring systems and the construction of UAV quantitative remote sensing platforms tailored to actual management applications. Full article
(This article belongs to the Section Biogeosciences Remote Sensing)
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<p>Annual number of publications.</p>
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<p>Annual communication numbers from selected countries.</p>
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<p>Top 25 keywords with the strongest citation bursts. Among them, water space and water ecology contain only 19 and 17 keywords with the strongest citation bursts, respectively, because of the small number of documents.</p>
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<p>Annual number of publications.</p>
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<p>Keyword analysis. The keywords marked by the red boxes in the figure are the research directions and hotspots.</p>
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<p>Correlation between RLHA indicators, riparian zone vegetation ecological functions, and the content of UAV quantitative remote sensing monitoring of riparian zone vegetation.</p>
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14 pages, 5927 KiB  
Article
Enhancing Root Water Uptake and Mitigating Salinity through Ecological Water Conveyance: A Study of Tamarix ramosissima Ledeb. Using Hydrus-1D Modeling
by Lei Jiang, Shuai Guo, Liang He, Shengshuai Zhang, Ziyong Sun and Lei Wang
Forests 2024, 15(9), 1664; https://doi.org/10.3390/f15091664 - 21 Sep 2024
Viewed by 605
Abstract
In an arid climate with minimal rainfall, plant growth is constrained by water scarcity and soil salinity. Ecological Water Conveyance (EWC) can mitigate degradation risks faced by riparian plant communities in these regions. However, its effects on long-term dynamics of root zone soil [...] Read more.
In an arid climate with minimal rainfall, plant growth is constrained by water scarcity and soil salinity. Ecological Water Conveyance (EWC) can mitigate degradation risks faced by riparian plant communities in these regions. However, its effects on long-term dynamics of root zone soil water content, salt levels, and root water uptake remain unclear. This study examined how groundwater affects salt and water dynamics, in addition to root water uptake, under different scenarios involving Tamarix ramosissima Ledeb. The research was conducted in the lower reaches of the Tarim River in northwestern China. The Hydrus-1D model was used, following the EWC strategy. The results show that the distribution of T. ramosissima roots was significantly influenced by soil water and salt distributions, with 56.8% of roots concentrated in the 60–100 cm soil layer. Under water stress conditions, root water uptake reached 91.0% of the potential maximum when considering water stress alone, and 41.0% when accounting for both water and salt stresses. Root water uptake was highly sensitive to changes in Depth-to-Water Table (DWT), notably decreasing with lower or higher DWT at 40% of the reference level. EWC effectively enhances root water uptake by using water to leach salts from the root zone soil, with optimal results observed at 500–600 mm. This study advocates for sustainable EWC practices to support vegetation and combat desertification in the lower reaches of arid inland rivers. Full article
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<p>Dynamics of (<b>a</b>) DWT, groundwater electric conductivity (<span class="html-italic">EC<sub>g</sub><sub>w</sub></span>), and groundwater temperature (<span class="html-italic">T<sub>g</sub><sub>w</sub></span>), and (<b>b</b>) evapotranspiration, precipitation, and air temperature during 2021.</p>
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<p>Root distribution and soil characteristics of <span class="html-italic">T. ramosissima</span> during the growing season: (<b>a</b>) root dry weight and root distribution and (<b>b</b>) the average value of soil water content (<span class="html-italic">θ</span>) and electrical conductivity of soil solution (<span class="html-italic">EC<sub>sw</sub></span>).</p>
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<p>Measurement and simulation of soil moisture and <span class="html-italic">EC<sub>sw</sub></span> during calibration and validation.</p>
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<p>Cumulative root water uptake under different stress conditions. Note: Sum (rRoot), potential cumulative root water uptake; sum (vRoot)-w, cumulative root water uptake under water stress; sum (vRoot)-ws, cumulative root water uptake under water stress and salt stress.</p>
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<p>Cumulative root water absorption under different EWC simulation scenarios.</p>
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<p>Cumulative root water absorption under different EWC amounts.</p>
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<p>The average soil electrical conductivity of root zone under different EWC amounts.</p>
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18 pages, 3628 KiB  
Article
Influence of Dissolved Oxygen and Temperature on Nitrogen Transport and Reaction in Point Bars of River
by Xunchuan Song, Ying Liu, Jinghong Feng, Defu Liu, Qilin Yang, Ziyan Lu and Huazhen Xiao
Sustainability 2024, 16(18), 8208; https://doi.org/10.3390/su16188208 - 20 Sep 2024
Viewed by 821
Abstract
Point bars are crucial elements of river systems, significantly enhancing the nitrogen cycle in riparian zones by facilitating hyporheic exchange between surface water and riparian zones. This study investigated the impact of dissolved oxygen (DO) concentration and temperature on nitrogen transport and reactions [...] Read more.
Point bars are crucial elements of river systems, significantly enhancing the nitrogen cycle in riparian zones by facilitating hyporheic exchange between surface water and riparian zones. This study investigated the impact of dissolved oxygen (DO) concentration and temperature on nitrogen transport and reactions in river point bars. A two-dimensional coupled surface water–groundwater model was developed to analyze nitrogen distribution, variations, and reaction rates in rivers with point bars. The model considered three chemical reactions controlling nitrogen transformation: aerobic respiration, nitrification, and denitrification, with DO and temperature as independent variables. The results indicated that DO variations have a limited effect on solute migration depth, whereas increased temperature reduces solute migration depth. At surface water DO concentrations of 0.1, 0.2, and 0.4 mol/m3, nitrate removal in the riparian zone was 0.022, 0.0064, and 0.0019 mol/m, respectively. At riparian temperatures of 5 °C, 15 °C, and 25 °C, nitrate removal was 0.012, 0.041, and 0.16 mol/m, respectively. Nitrogen removal is more sensitive to temperature variations than to changes in DO concentration. In this research, the decrease in DO concentrations and the temperature increase greatly enhanced the riparian zone’s denitrification effect. This study improves our understanding of how riparian zones impact nitrogen cycling under various environmental conditions. Full article
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<p>Modeling scheme. Upper part describes the pressure, velocity, and wall boundary conditions of the river flow turbulence model; lower part displays the pressure and concentration boundary conditions for the solute reactive transport in the porous medium. The model domain represents a riverbank with length L = 30 m and width D = 12 m (with a point bar 4 m long and 1.5 m wide, and the center of the bar 10 m from the leftmost edge of the riverbank), and a river channel of the same length as the riverbank and width of d = 4 m.</p>
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<p>Distribution of four key species concentrations, and nitrification (NI) and denitrification (DN) rates with varying DO levels for the river containing the point bar.</p>
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<p>Distribution of four key species concentrations, and nitrification (NI) and denitrification (DN) rates with varying temperatures for the river containing the point bar.</p>
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24 pages, 12223 KiB  
Article
Quantification and Categorization of Macroplastics (Plastic Debris) within a Headwaters Basin in Western North Carolina, USA: Implications to the Potential Impacts of Plastic Pollution on Biota
by Nathaniel Barrett, Jerry Miller and Suzanne Orbock-Miller
Environments 2024, 11(9), 195; https://doi.org/10.3390/environments11090195 - 10 Sep 2024
Cited by 1 | Viewed by 940
Abstract
Plastic production on a commercial scale began in the 1950s, reaching an annual production of 460 million metric tons in 2019. The global release of 22% of produced plastics into the environment has raised concerns about their potential environmental impacts, particularly on aquatic [...] Read more.
Plastic production on a commercial scale began in the 1950s, reaching an annual production of 460 million metric tons in 2019. The global release of 22% of produced plastics into the environment has raised concerns about their potential environmental impacts, particularly on aquatic ecosystems. Here, we quantify and categorize plastic debris found along Richland Creek, a small, heavily forested watershed in western North Carolina, USA. Plastics within the riparian zone of seven 50 m reaches of Richland Creek and its tributaries were sampled two or three times. The 1737 pieces of collected plastic debris were returned to the lab where they were measured and categorized. A small-scale laboratory study using seven of the items collected was performed to determine their ability to break down into microplastics (particles < 5 mm in size). The majority (76%) of collected items were made of either plastic film (particularly bags and food wrappers, 43%) or hard plastics (e.g., bottles, 2%). However, when viewed on a surface area basis, films and synthetic fabrics (e.g., clothing, sleeping bags) equally dominated. Roughly three-quarters of the items collected had a width less than 10 cm, due primarily to the fragmentation of the original items; over two-thirds of the collected items were fragmented. Items composed of foams and films exhibited the highest fragmentation rates, 93% and 86%, respectively. Most collected plastics were domestic in nature, and the number of items increased downstream through more developed areas. Laboratory studies showed that plastic debris has a propensity to break down into microplastics. We believe the data collected here should be replicated in other streams, as these freshwater environments are the source of plastics that eventually enter the oceans. Full article
(This article belongs to the Special Issue Plastics Pollution in Aquatic Environments)
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<p>(<b>a</b>) Location map showing the general distribution of sampling sites (indicated as red circles) within the Richland Creek basin. (<b>b</b>) Google Earth image of the Richland Creek study area, outlined in blue. (<b>c</b>) Location of the study area (indicated as red circle) within the southeastern United States [<a href="#B18-environments-11-00195" class="html-bibr">18</a>].</p>
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<p>Parameters used to characterize meso- and macroplastics collected along the stream channels. Classification modified from Lippiatt et. al. [<a href="#B24-environments-11-00195" class="html-bibr">24</a>] and Blettler et al. [<a href="#B25-environments-11-00195" class="html-bibr">25</a>]. Photographs show the debris that was collected from Sites 3, 4, and 5 during one sample collection period by students from Tuscola High School.</p>
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<p>Items used in the shaker table experiments, including fabrics (<b>a</b>–<b>c</b>), films (<b>d</b>,<b>e</b>), and foams (<b>f</b>,<b>g</b>). The samples and shaker table are shown in (<b>h</b>) and (<b>i</b>), respectively.</p>
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<p>Low- and high-intensity development by site and by area upstream of each sampling location. Land use at Site 7 is representative of the basin, as it is the most downstream location sampled, roughly 500 m before Richland Creek enters Lake Junaluska.</p>
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<p>General characteristics of the collected plastic debris (<span class="html-italic">n</span> = 1737). (<b>a</b>) Proportion of sampled items by material type; (<b>b</b>) proportion of sampled items by original use; (<b>c</b>) proportion of sampled items by color.</p>
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<p>Proportion of items of each material type that were found intact versus fragmented. An item was considered intact if the entire item was present and considered fragmented if any visible portion of the item was missing.</p>
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<p>Relative frequency of particles by B-axis size (width), categorized in 2.5 cm increments, displaying items with a B-axis of less than 75 cm. Data are stratified by material type and frequency of fragmentation. A total of six items were greater than 75 cm in their B-axis (two intact fabrics, two fragmented fabrics, one intact film, and three fragmented films; &lt;1% of all items) and were not included on these graphs to allow a consistent x-axis scale between graphs.</p>
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<p>Total surface area of each plastic material collected at all sites. * One item, a large plastic sheet collected at Site 4, makes up 421,200 cm<sup>2</sup> of the total 694,235 cm<sup>2</sup> of film material collected. This item is indicated in orange here.</p>
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<p>Total surface area of each plastic material collected by site and overall. * One item was removed from these data as it skewed the scale of the remaining values. This was a large plastic sheet found at Site 4 with a surface area of 421,200 cm<sup>2</sup>. The removal of this item from this figure allows for better visualization of the remaining data.</p>
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<p>Photographs showing (<b>a</b>) channel banks composed partly of grass at Site 1. This site’s collection included a reach composed of brushy bank as seen in the background; (<b>b</b>) frequently flooded inset bench and brushy vegetation sampled at Site 2 (Allen Creek); and (<b>c</b>) near-vertical bank covered in brushy vegetation at Site 3. Most of the sampled reaches exhibited this type of bank geometry and vegetation. (<b>d</b>) Large frequently flooded inset bench at Site 5. Note abundance of plastic debris; (<b>e</b>) plastic bags (films) trapped by brushy vegetation near Site 5; and (<b>f</b>) plastic debris trapped by log jam at Site 6.</p>
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<p>Photographs showing (<b>a</b>) an example of a high-water strandline at Site 5 and (<b>b</b>,<b>c</b>) examples of plastic located within the strandline, which suggests that plastics were transported and deposited near the water surface during the flood event.</p>
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15 pages, 4969 KiB  
Article
Impact of Plant Community Diversity on Greenhouse Gas Emissions in Riparian Zones
by Guanlin Li, Jiacong Xu, Yi Tang, Yanjiao Wang, Jiabao Lou, Sixuan Xu, Babar Iqbal, Yingnan Li and Daolin Du
Plants 2024, 13(17), 2412; https://doi.org/10.3390/plants13172412 - 29 Aug 2024
Viewed by 722
Abstract
Plant community succession can impact greenhouse gas (GHG) emissions from the soil by altering the soil carbon and nitrogen cycles. However, the effects of community landscape diversity on soil GHG emissions have rarely been fully understood. Therefore, this study investigated how plant landscape [...] Read more.
Plant community succession can impact greenhouse gas (GHG) emissions from the soil by altering the soil carbon and nitrogen cycles. However, the effects of community landscape diversity on soil GHG emissions have rarely been fully understood. Therefore, this study investigated how plant landscape diversity, structure type, and species composition, affect soil GHG emissions in a riparian zone. Soil GHG emissions were assessed by measuring the air samples collected from four study sites, which have different plant community structure types and species compositions (natural sites with complex plants, landscaped sites with fruit trees and grasses, untended sites with ruderals, and farmland sites), using the static chamber method. Significant differences were observed in soil carbon dioxide (CO2; p < 0.001), nitrous oxide (N2O; p < 0.001), and methane (CH4; p = 0.005) emissions. The untended site with ruderals exhibited the highest CO2 emissions, while N2O emissions increased as plant community diversity decreased. All sites acted as sinks for CH4 emissions, with decreased CH4 uptake efficiency in more diverse plant communities. The Mantel test and variance partitioning analysis revealed soil microbial biomass as an indirect influencer of GHG emissions. This study could help predict soil GHG emissions and their global warming potential under future changes in the island riparian zones. Full article
(This article belongs to the Special Issue Plant-Soil Interaction Response to Global Change)
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<p>Variations in Abundance-based Coverage Estimator (<b>a</b>) and Evenness (<b>b</b>) of plant community in each site (n = 3). Site 1: natural plant community sites with structurally complex plants (arbor, shrub, and grasses); Site 2: landscaped sites with orange trees and grasses; Site 3: untended or abandoned sites with ruderal; Site 4: farmland sites with crops. Vertical bars showed the standard error in each site. Different letters denote significant differences at the 0.05 level among the study sites.</p>
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<p>The results of principal component analysis based on the soil parameters among the study sites.</p>
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<p>Variations in soil carbon dioxide emission (<b>a</b>), nitrous oxide emission (<b>b</b>), methane emission (<b>c</b>), and global warming potential (<b>d</b>) at each site (n = 3). Vertical bars showed the standard error at each site. Different letters denote significant differences at the <span class="html-italic">p</span> &lt; 0.050 level among the study sites.</p>
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<p>The results of principal component analysis based on soil carbon dioxide emission, nitrous oxide emission, methane emission, and global warming potential among the study sites.</p>
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<p>The Mantel tests based on correlations between soil carbon dioxide emission, nitrous oxide emission, methane emission, global warming potential variables, and soil parameters. The grey line means no significance (<span class="html-italic">p</span> &gt; 0.050); the green line means significance (0.050 &gt; <span class="html-italic">p</span> &gt; 0.010); the red line means significance (<span class="html-italic">p</span> &lt; 0.010); the width of the line indicates the strength of the different correlations. The red and blue ovals indicate the strength of the correlation between the two indicators. Red represents positive correlation, and blue represents negative correlation. The correlation between environment variables was obtained by Pearson algorithm, and the correlation between response variables and environment variables was obtained by Mantel algorithm. * = significant at the level of <span class="html-italic">p</span> &lt; 0.050, ** = significant at the level of <span class="html-italic">p</span> &lt; 0.010, and *** = significant at the level of <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>The random forest analysis based on correlations between soil carbon dioxide emission (<b>a</b>), nitrous oxide emission (<b>b</b>), methane emission (<b>c</b>), and global warming potential (<b>d</b>) variables and soil parameters.</p>
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<p>Results of variation partitioning analysis showing the effects of the soil physicochemical parameters, nutrient parameters, microbial parameters, and microbial metabolism parameters on soil carbon dioxide emission, nitrous oxide emission, methane emission, and global warming potential variables. Physicochemical parameters include pH and SM; nutrient parameters include IN, DOC, and DO<sub>C:N</sub>; microbial parameters include EEA<sub>P</sub>, EEA<sub>N</sub>, and MB<sub>C:N</sub>; microbial metabolism includes VL and VA. ** = significant at the level of <span class="html-italic">p</span> &lt; 0.010.</p>
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<p>Cascading relationships of the greenhouse gas emissions with soil parameters among the study sites (<b>a</b>) and the total effect of each predictive factor on greenhouse gas emissions (<b>b</b>). Partial least squares path modeling disentangling major pathways of the influences of soil parameters and plant community landscape diversity on greenhouse gas emissions. Blue and red arrows indicate positive and negative flows of causality. * = significant at the level of <span class="html-italic">p</span> &lt; 0.050, and ** = significant at the level of <span class="html-italic">p</span> &lt; 0.010.</p>
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13 pages, 1767 KiB  
Article
Connecting Riparian Phyllospheres to Aquatic Microbial Communities in a Freshwater Stream System
by M. Elias Dueker, Beckett Lansbury and Gabriel G. Perron
Aerobiology 2024, 2(3), 59-71; https://doi.org/10.3390/aerobiology2030005 - 29 Aug 2024
Viewed by 669
Abstract
The role that aquatic aerosols might play in inter-ecosystem exchanges in freshwater riparian environments has largely been understudied. In these environments, where freshwater streams are used both as drinking water and for treated waste disposal, water features like waterfalls, downed trees, and increased [...] Read more.
The role that aquatic aerosols might play in inter-ecosystem exchanges in freshwater riparian environments has largely been understudied. In these environments, where freshwater streams are used both as drinking water and for treated waste disposal, water features like waterfalls, downed trees, and increased streamflow can serve as bioaerosol producers. Such water features could have an important role in the bacterial colonization of surrounding surfaces, including the riparian phyllosphere. In this study, we explore the influence of a freshwater stream’s bacterial community composition and micropollution on riparian maple leaves exposed to bioaerosols produced from that stream. Using culture-based and non-culture-based techniques, we compared phylloplane microbial communities in riparian zones, adjacent non-riparian forested zones, and the surface waters of the stream. In this system, riparian zone maple leaf surfaces had higher bacterial counts than non-riparian zone trees. Using metagenomic profiling of the 16S rRNA gene, we found that, while microbial communities on leaves in both the riparian zone and forested sites were diverse, riparian zone bacterial communities were significantly more diverse. In addition, we found that riparian leaf bacterial communities shared more amplicon sequence variants (ASVs) with stream bacterial communities than forest leaves, indicating that the riparian zone phyllosphere is likely influenced by bioaerosols produced from water surfaces. Full article
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<p>Study sites near the Saw Kill (solid line, flow is right to left). Locations of <span class="html-italic">A. rubrum</span> used for leaf sampling denoted by white circles. Aerosol-creating waterfalls upstream of both riparian sites noted, along with the location of the outflow for the Bard College wastewater treatment plant.</p>
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<p>Culture-based phyllosphere bacteria counts: (<b>A</b>) geometric mean and standard error of culturable bacteria grown from leaf prints and normalized by leaf surface area (riparian <span class="html-italic">n</span> = 60, forest <span class="html-italic">n</span> = 60), (<b>B</b>) geometric mean and standard error of culturable bacteria grown from leaf wash (riparian <span class="html-italic">n</span> = 20, forest <span class="html-italic">n</span> = 20), and culture-independent (qPCR) abundances of (<b>C</b>) 16S gene copies (riparian <span class="html-italic">n</span> = 20, forest <span class="html-italic">n</span> = 20), and (<b>D</b>) ARG indicator IntI1 copies per ml leaf wash (riparian <span class="html-italic">n</span> = 20, forest <span class="html-italic">n</span> = 20). Statistically significant differences denoted by an asterisk (*).</p>
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<p>Alpha-diversity comparisons between forest leaf PMC samples (<span class="html-italic">n</span> = 18) and riparian leaf PMC samples (<span class="html-italic">n</span> = 20): (<b>A</b>) predicted ASV’s (Chao1 index) and (<b>B</b>) Shannon Diversity index calculated from non-rarefied samples. Boxes and lines denote data range and mean, and black points represent outliers. Green and dark blue points denote by-sample index value. Statistically significant difference denoted with an asterisk (*).</p>
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<p>Phylogenetic tree demonstrating the by-sample abundances of ASV’s identified as sewage-related found on riparian (dark blue), and forest (green) phyllospheres. Each point represents a sample, point size relates to # of ASVs, ranging from 1 to 125.</p>
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<p>Venn diagram demonstrating the number of shared ASVs between forest (green), riparian (dark blue), and water (light blue) microbial communities.</p>
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10 pages, 2801 KiB  
Article
Cynodon dactylon and Sediment Interaction in the Three Gorges Reservoir: Insights from a Three-Year Study
by Xuemei Yi, Yuanyang Huang, Qiao Xing, Qiao Chen and Shengjun Wu
Land 2024, 13(9), 1373; https://doi.org/10.3390/land13091373 - 27 Aug 2024
Viewed by 511
Abstract
Sediment deposition is critical in maintaining riparian plant communities by providing essential nutrients and posing growth challenges. This study focuses on Cynodon dactylon, a dominant clonal species in the riparian zones of the Three Gorges Reservoir, and its interaction with sediment deposition [...] Read more.
Sediment deposition is critical in maintaining riparian plant communities by providing essential nutrients and posing growth challenges. This study focuses on Cynodon dactylon, a dominant clonal species in the riparian zones of the Three Gorges Reservoir, and its interaction with sediment deposition over three years. Results indicated an average sediment deposition depth of 2.85 cm in the lower riparian regions. Observations revealed that C. dactylon coverage increased progressively at lower elevations despite its dominance diminishing with rising elevation levels. Additionally, positive linear correlations between C. dactylon coverage and sediment deposition depths were identified during flood periods, underscoring the species’ role in enhancing sediment deposition. These findings suggest that C. dactylon plays a significant role in sediment accumulation, which may bolster its growth and survival prospects during subsequent growing cycles. The study highlights the importance of riparian vegetation, mainly perennial clonal species like C. dactylon, in promoting sediment accumulation and contributing to the stability and functionality of riparian ecosystems. Full article
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<p>Location of the study area and the quadrat setting schematic.</p>
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<p>Sediment deposition depth in different seasons. Horizontal axis represents the location: Fuling (FL), Zhongxian (ZX), Kaizhou (KZ), Yunyang (YY), and Wushan (WS).</p>
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<p>Plant species richness (<b>a</b>) and total coverage (<b>b</b>) in different seasons.</p>
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<p>Coverage of <span class="html-italic">C. dactylon</span> (<b>a</b>) and dominance of <span class="html-italic">C. dactylon</span> (<b>b</b>) in different seasons.</p>
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<p>The relationship of coverage of <span class="html-italic">C. dactylon</span> before the inundation with sediment depth (<b>a</b>), sediment depth with the dominance of <span class="html-italic">C. dactylon</span> (<b>b</b>), dominance of <span class="html-italic">C. dactylon</span> before the inundation with the sediment depth (<b>c</b>), and sediment depth with the coverage of <span class="html-italic">C. dactylon</span> after the inundation (<b>d</b>).</p>
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<p>Logistic regression plot of odds ratios and 95% confidence intervals for evaluation. Logistic regression plot of odds ratios and 95% confidence intervals for evaluation of the dominance of <span class="html-italic">C. dactylon</span> with plant community and sediment depth (inundation in 2018, (<b>a</b>); inundation in 2019, (<b>b</b>)). Logistic regression plot of odds ratios and 95% confidence intervals for evaluation of the sediment depth with plant community and quadrat elevation (inundation in 2018, (<b>c</b>); inundation in 2019, (<b>d</b>)). Abbreviations: tc, total coverage; sr, species richness; Cdc, coverage of <span class="html-italic">C. dactylon</span>; dep, sediment deposition depth; ele, elevation of the quadrats.</p>
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23 pages, 10393 KiB  
Article
Intensification of Human Land Use Decreases Taxonomic, Functional, and Phylogenetic Diversity of Macroinvertebrate Community in Weihe River Basin, China
by Jixin Ma, Xuwang Yin, Gang Liu and Jinxi Song
Diversity 2024, 16(9), 513; https://doi.org/10.3390/d16090513 - 26 Aug 2024
Viewed by 516
Abstract
Recent anthropogenic activities have escalated human exploitation of riparian zones of river ecosystems, consequently diminishing aquatic biodiversity. This intensification of land use is also causing water quality degradation and changes in water environmental factors, evidenced by increased nutrient levels and adversely impacting the [...] Read more.
Recent anthropogenic activities have escalated human exploitation of riparian zones of river ecosystems, consequently diminishing aquatic biodiversity. This intensification of land use is also causing water quality degradation and changes in water environmental factors, evidenced by increased nutrient levels and adversely impacting the community structure and diversity of aquatic organisms. Notably, the Weihe River Basin, the largest tributary of the Yellow River, has demonstrated signs of significant anthropogenic pressure. Despite this, comprehensive investigations examining the effects of land-use intensity on aquatic organism diversity in this watershed remain limited. In this study, the environmental impacts and macroinvertebrate diversity under high-intensity and low-intensity land-use scenarios within the Weihe River Basin were investigated through field surveys conducted during the spring and autumn seasons. Our results demonstrated that areas under high-intensity land use exhibited elevated nutrient concentrations (e.g., total nitrogen) compared to those under low-intensity land use. These environmental changes significantly influenced the macroinvertebrate community structure, reducing functional and phylogenetic diversities in high-intensity land-use watersheds. Hydrological factors (water depth, river width, and discharge) have a significant impact on macroinvertebrate taxonomic diversity. Thus, understanding the effects of land-use intensity on aquatic biodiversity is essential for ecological assessments of impacted watersheds and developing management strategies for the sustainable use and planning of riparian lands in the Weihe River Basin. Full article
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<p>The spatial distribution of sampling sites in the study region. (The green and red represent low and high human land-use intensity, respectively. The red area on the map of China at the top left represents the study region).</p>
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<p>Principal component analysis of the coverage of land-use area in autumn (<b>A</b>) and spring (<b>B</b>). The green points represent the sample sites. The blue arrows represent the direction of the increases for different land−use coverage.</p>
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<p>Boxplots comparing 5 types of land-use coverage (%) among the low- and high-intensity human land uses, including cropland, forest, grassland, water, and build-up area in autumn (<b>A</b>) and spring (<b>B</b>). (The line in the middle of the box represents the median of the data, and the top and bottom of the box are the upper and lower quartiles of the data, respectively. The upper and lower edges represent the maximum and minimum values of the set of data. Points above the maximum and below the minimum are outliers in the data. Asterisks denote significant differences: ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001. ns indicates that there is no significant difference).</p>
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<p>Boxplot comparison of environmental factors of low-intensity and high-intensity human land use ((<b>A</b>) DO, (<b>B</b>) TN, (<b>C</b>) River Width, (<b>D</b>) Depth, and (<b>E</b>) Flow). Mann–Whitney U test and independent sample <span class="html-italic">t</span>-test were used for pairwise comparison. (The line in the middle of the box represents the median of the data, and the top and bottom of the box are the upper and lower quartiles of the data, respectively. The upper and lower edges represent the maximum and minimum values of the set of data. Points above the maximum and below the minimum are outliers in the data. Asterisks denote significant differences: * <span class="html-italic">p</span> ≤ 0.05; ** <span class="html-italic">p</span> &lt; 0.01. ns indicates that there is no significant difference).</p>
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<p>Histogram of differences in community composition (<b>A</b>,<b>C</b>), community composition (<b>A</b>), density (<b>B</b>) and relative abundance (<b>C</b>) of macroinvertebrates under different human land-use intensities in Weihe River Basin in spring and autumn.</p>
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<p>Boxplot comparison of low-intensity and high-intensity human land-use taxonomic α diversity ((<b>A</b>) species richness, (<b>B</b>) Shannon–Wiener diversity index, (<b>C</b>) Pielou evenness index, and (<b>D</b>) Simpson diversity index). Analyses were performed using Mann–Whitney U tests and independent sample <span class="html-italic">t</span>-tests for pairwise comparisons. (Asterisks denote significant differences: * <span class="html-italic">p</span> ≤ 0.05; ** <span class="html-italic">p</span> &lt; 0.01. ns indicates that there is no significant difference).</p>
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<p>The proportion of functional groups of macroinvertebrate community among different human land-use intensities in the Wei River Basin in autumn and spring.</p>
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<p>Boxplot comparison of low-intensity and high-intensity human land-use functional α diversity ((<b>A</b>) FRic, functional richness; (<b>B</b>) FDis, functional dispersion index; and (<b>C</b>) RaoQ, Rao’s quadratic entropy index). Mann–Whitney U test and independent sample <span class="html-italic">t</span>-test were used for pairwise comparison. (Asterisks denote significant differences: * <span class="html-italic">p</span> ≤ 0.05; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt;0.001. ns indicates that there is no significant difference).</p>
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<p>Boxplot comparison of low-intensity and high-intensity human land-use phylogenetic α diversity ((<b>A</b>) Δ: taxonomic diversity index; (<b>B</b>) Δ<sup>*</sup>: taxonomic distinctness index; (<b>C</b>) Λ+: variation in taxonomic distinctness index; and (<b>D</b>) Δ<sup>+</sup>: average taxonomic distinctness index). Mann–Whitney U test and independent sample <span class="html-italic">t</span>-test were used for pairwise comparison. (Asterisks denote significant differences: * <span class="html-italic">p</span> ≤ 0.05. ns indicates that there is no significant difference).</p>
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<p>db-RDA and PERMANOVA analyses of land-use intensity and environmental factors and macroinvertebrate diversity in autumn (<b>A</b>–<b>C</b>) and spring (<b>D</b>–<b>F</b>).</p>
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15 pages, 2793 KiB  
Article
Morphological Traits and Biomass Allocation of Leymus secalinus along Habitat Gradient in a Floodplain Wetland of the Heihe River, China
by Jun Wen, Qun Li, Chengzhang Zhao and Manping Kang
Agronomy 2024, 14(9), 1899; https://doi.org/10.3390/agronomy14091899 - 25 Aug 2024
Viewed by 553
Abstract
Plant organ biomass allocation and morphological characteristics are important functional traits. The responses of plant root, stem, and leaf traits to heterogeneous habitats in floodplain wetlands are highly important for understanding the ecological adaptation strategies of riparian plants. However, the patterns of these [...] Read more.
Plant organ biomass allocation and morphological characteristics are important functional traits. The responses of plant root, stem, and leaf traits to heterogeneous habitats in floodplain wetlands are highly important for understanding the ecological adaptation strategies of riparian plants. However, the patterns of these responses remain unclear. In a floodplain wetland in the middle reaches of the Heihe River, we studied the responses of the root, stem, and leaf morphological traits and biomass allocation of Leymus secalinus to varying habitat conditions. We measured these traits in three sample plots, delineated based on distance from the riverbank: plot I (near the riparian zone, 50–150 m from the riverbank), plot II (middle riparian zone, 200–300 m from the riverbank), and plot III (far riparian zone, 350–450 m from the riverbank). The results showed that in plot I, L. secalinus tended to have slender roots and stems and small leaves, with a biomass allocation strategy that maximized the root–shoot ratio (RSR). In plot II, L. secalinus had thick stems and moderate leaf and root patterns, and the RSR values were between those of plot I and plot III. In plot III, L. secalinus had thin and short stems and large leaves; furthermore, among the root morphological structures, plot III had the shortest Rhizome length (RL) and longest Rhizome diameter (RD), and the RSR was the lowest. Moreover, there was a significant correlation between organ biomass and leaf thickness, stem length, RD, and RL in the three habitats (p < 0.05). By balancing the biomass allocation among organs, wetland plants in floodplains balance changes in root, stem, and leaf morphological characteristics to improve their environmental adaptation. Full article
(This article belongs to the Section Agroecology Innovation: Achieving System Resilience)
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<p><span class="html-italic">Leymus secalinus</span>.</p>
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<p>Study area and locations of the sampling plots.</p>
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<p>Soil properties of each habitat. I, near riparian zone; II, middle riparian zone; and III, far riparian zone. Different lowercase letters indicate significant differences among plots (<span class="html-italic">p</span> &lt; 0.05). SMC (soil moisture content); SBD (soil bulk density); EC (electrical conductivity).</p>
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<p>Population traits of <span class="html-italic">Leymus secalinus</span> in each plot. I, near riparian zone; II, middle riparian zone; and III, far riparian zone. Different lowercase letters indicate significant differences among plots (<span class="html-italic">p</span> &lt; 0.05). n = 36, represents the number of <span class="html-italic">L. secalinus</span> counted by each habitat gradient.</p>
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<p>Comparisons of the shoot biomass percentage and root biomass percentage in different plots of <span class="html-italic">Leymus secalinus.</span> I, near riparian zone; II, middle riparian zone; and III, far riparian zone. PSB, stem biomass percentage; PLB, leaf biomass percentage; PRB, root biomass percentage.</p>
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<p>RDA ordination of the functional traits of <span class="html-italic">Leymus secalinus</span> and related environmental fac-tors. SMC (soil moisture content); SBD (soil bulk density); EC (electrical conductivity); LA (leaf area); LT (leaf thickness); SRL (specific root length); SL (stem length); SD (stem diameter); RD (Rhizome diameter); RL (Rhizome length); SRL (specific root length); RSA (root surface area); SM (stem bio-mass); LM (leaf biomass); RM (Rhizome biomass); RSR (root–shoot ratio). The blue arrows represent the root, stem, and leaf morphological traits, and the red arrows represent environmental factors.</p>
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<p>Correlation coefficients between morphological traits and organ biomass allocation of <span class="html-italic">L. secalinus.</span> LT (leaf thickness); SL (stem length); RD (rhizome diameter); RL (rhizome length); SRL (specific root length); SM (stem biomass); LM (leaf biomass); RM (rhizome biomass); RSR (root-shoot ratio). * <span class="html-italic">p</span> &lt; 0.05 (significant at the 0.05 level, bilateral; the null hypothesis is rejected at the 95% confidence level, and the sample shows a linear correlation); ** <span class="html-italic">p</span> &lt; 0.01 (significant at the 0.01 level, bilateral; the null hypothesis is rejected at the 99% confidence level, and the sample shows a linear correlation). The blue ovals represent negative correlations between the morphological characteris-tics and biomass allocation, and the red ovals represent positive correlations between the morpho-logical characteristics and biomass allocation. The deeper the color is, the more significant the cor-relation. The lighter the color is, the weaker the correlation. I, near riparian zone; II, middle riparian zone; and III, far riparian zone.</p>
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14 pages, 3054 KiB  
Article
Correlation Analysis of Riparian Plant Communities with Soil Ions in the Upper, Middle, and Lower Reaches of Heihe River Midstream in China
by Zhikai Wang, Guopeng Chen, Jie Li and Jian Jiao
Agronomy 2024, 14(8), 1868; https://doi.org/10.3390/agronomy14081868 - 22 Aug 2024
Viewed by 479
Abstract
Our study examined the relationships between riparian plant communities and their soil properties along the midstream of the Heihe River in northwestern China’s arid region. Significant variations in species composition were observed across the upper, middle, and lower reaches of this midstream (adonis2 [...] Read more.
Our study examined the relationships between riparian plant communities and their soil properties along the midstream of the Heihe River in northwestern China’s arid region. Significant variations in species composition were observed across the upper, middle, and lower reaches of this midstream (adonis2 and anosim, p < 0.001). The lower reaches exhibited higher species diversity (Shannon index up to 2.12) compared to the other reaches. Gramineous plants, particularly Agropyron cristatum (L.) Gaertn. and Equisetum ramosissimum Desf., dominated all reaches, with relative abundances exceeding 50% in the upper reach sites. The soil ionic concentration showed distinct spatial heterogeneity, peaking at site 9 (upper reaches) and lowest at site 3 (lower reaches). Species diversity indices negatively correlated with SO42−, Mg2+, and Ca2+ concentrations, while salt-tolerant species like Agropyron cristatum (L.) Gaertn. and Phragmites australis Trin. positively correlated with Na+ and Cl levels. Soil nutrients had weaker but notable effects on the distribution of Onopordum acanthium L. and Artemisia argyi H. Lév. and Vaniot. These findings suggest that riparian plant community distribution along the Heihe River is influenced by complex interactions between hydrological processes, salt dynamics, and soil physicochemical properties, such as anion and cation concentrations and electrical conductivity (EC). Our research provides valuable insights for understanding and managing riparian ecosystems in arid regions. Full article
(This article belongs to the Section Agroecology Innovation: Achieving System Resilience)
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<p>Geographic location of the study area and sampling sites. The sites were numbered sequentially based on the order of our visits. Due to the proximity of the sixth visited site (site 6) to the fifth one (site 5), we decided to omit site 5 from our analysis. The red polyline in the figure delineates the boundary of Gansu Province.</p>
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<p>Relative abundance of plant species at sampling sites and the significance of their differences. The different letter in cells indicates (<span class="html-italic">p &lt;</span> 0.05) significant differences among the relative abundance of plant species between sites after LSD-based means comparisons.</p>
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<p>Differences in soil nutrients and pH and their significance. Site position illustrates the position of the sites in the midstream of Heihe River; downstream: the down reaches; midstream: the middle reaches; upstream: the upper reaches. Different lowercase letters indicate statistically significant differences among treatments (<span class="html-italic">p</span> &lt; 0.05), the same as the following.</p>
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<p>Differences in cation concentrations (<b>a</b>), electrical conductivity and total ion concentrations (<b>b</b>), and anion concentrations (<b>c</b>) among sampling sites and their significance.</p>
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<p>Correlations between relative abundance of plant species and ion concentrations, soil nutrients, and soil pH. The abbreviations mean as follows: TCA, Total Cation Amount; TCa, Total Cations; TA, Total Anions; TN, Total Nitrogen; TC, Total Carbon; OC, Organic Carbon. Different number of “*” indicates significant relations between the variables (“*”: <span class="html-italic">p</span> &lt; 0.05, “**”: <span class="html-italic">p</span> &lt; 0.01).</p>
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<p>CCA of soil physicochemical properties, soil cations, soil anions, plant species, and sampling sites. The numbers adjacent to the diamonds represent plant species’ names, specifically: 1. <span class="html-italic">Agropyron cristatum</span> (L.) Gaertn., 2. <span class="html-italic">Equisetum ramosissimum</span> Desf. 3. <span class="html-italic">Phragmites australis</span> Trin., 4. <span class="html-italic">Artemisia argyi</span> H. Lév. and Vaniot, 5. <span class="html-italic">Eragrostis pilosa</span> (L.) Beauv., 6. <span class="html-italic">Calamagrostis pseudophragmites</span> (Hall f.) Koel., 7. <span class="html-italic">Lactuca tatarica</span> (L.) C. A. Mey., 8. <span class="html-italic">Leymus secalinus</span> (Georgi) Tzvelev, 9. <span class="html-italic">Setaria viridis</span> (L.) P. Beauv., 10. <span class="html-italic">Potentilla chinensis</span> Ser., 11. <span class="html-italic">Populus</span> L., and 12, <span class="html-italic">Onopordum acanthium</span> L.</p>
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25 pages, 3265 KiB  
Article
Urban Green Infrastructure Connectivity: The Role of Private Semi-Natural Areas
by Raihan Jamil, Jason P. Julian, Jennifer L. R. Jensen and Kimberly M. Meitzen
Land 2024, 13(8), 1213; https://doi.org/10.3390/land13081213 - 6 Aug 2024
Viewed by 2484
Abstract
Green spaces and blue spaces in cities provide a wealth of benefits to the urban social–ecological system. Unfortunately, urban development fragments natural habitats, reducing connectivity and biodiversity. Urban green–blue infrastructure (UGI) networks can mitigate these effects by providing ecological corridors that enhance habitat [...] Read more.
Green spaces and blue spaces in cities provide a wealth of benefits to the urban social–ecological system. Unfortunately, urban development fragments natural habitats, reducing connectivity and biodiversity. Urban green–blue infrastructure (UGI) networks can mitigate these effects by providing ecological corridors that enhance habitat connectivity. This study examined UGI connectivity for two indicator species in a rapidly developing city in the southern United States. We mapped and analyzed UGI at a high resolution (0.6 m) across the entire city, with a focus on semi-natural areas in private land and residential neighborhoods. Integrating graph theory and a gravity model, we assessed structural UGI networks and ranked them based on their ability to support functional connectivity. Most of the potential habitat corridors we mapped in this project traversed private lands, including 58% of the priority habitat for the Golden-cheeked Warbler and 69% of the priority habitat for the Rio Grande Wild Turkey. Riparian zones and other areas with dense tree cover were critical linkages in these habitat corridors. Our findings illustrate the important role that private semi-natural areas play in UGI, habitat connectivity, and essential ecosystem services. Full article
(This article belongs to the Special Issue Managing Urban Green Infrastructure and Ecosystem Services)
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Figure 1

Figure 1
<p>Study area of San Marcos (Texas, USA) and its Extraterritorial Jurisdiction (ETJ). Important placenames mentioned in article are identified for reference, including the two ecoregions: Edwards Plateau (northwest of I-35) and Blackland Prairie (southeast of I-35).</p>
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<p>Final land cover map of San Marcos ETJ applying Random Forest (RF) classification algorithm (Image: NAIP, Resolution: 0.6 m).</p>
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<p>Potential connected habitat networks for Golden-cheeked Warbler (GCW) in San Marcos ETJ, with suitability ranking (red number) located in the middle of the linear corridor. Major greenspace patches were identified using a threshold patch area of 0.10 km<sup>2</sup>.</p>
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<p>Potential connected habitat networks Rio Grande Wild Turkey (RGWT) in San Marcos ETJ, with suitability ranking (red number) located in the middle of the linear corridor. Major greenspace patches were identified using a threshold patch area of 0.10 km<sup>2</sup>.</p>
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