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Search Results (3,626)

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Keywords = ecological restoration

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21 pages, 19648 KiB  
Review
Research Progress on Ecological Carrying Capacity and Ecological Security, and Its Inspiration on the Forest Ecosystem in the Karst Desertification Control
by Song Zhang, Ya Luo, Kangning Xiong, Yanghua Yu, Cheng He, Shihao Zhang and Zhaohua Wang
Forests 2024, 15(9), 1632; https://doi.org/10.3390/f15091632 - 15 Sep 2024
Viewed by 301
Abstract
Social progress and the improvement of living standards are often accompanied by the intensification of ecological crises. The long-term abuse of natural resources has led to the accumulation of ecological liabilities, which in turn seriously hinders economic development. This has prompted all sectors [...] Read more.
Social progress and the improvement of living standards are often accompanied by the intensification of ecological crises. The long-term abuse of natural resources has led to the accumulation of ecological liabilities, which in turn seriously hinders economic development. This has prompted all sectors of society to recognize the importance of ecological carrying capacity (ECC) and ecological security (ES). Remarkable progress has been made in karst desertification control (KDC), which has helped reshape the ECC and ES pattern of forests. Currently, the research field of ECC and ES is experiencing rapid development. Further studies in these areas have immeasurable value in promoting regional sustainable development strategies and strengthening ecological civilization construction. The objective of this paper is to provide an overview of the current research status and potential challenges in the field of ECC and ES, with a view to optimizing the program of forest restoration and protection in KDC. This study systematically analyzed 350 relevant studies and found that (1) research on forest ECC and ES has shown a strong growth trend overall, especially after 2017, with a growth rate exceeding 75%; (2) the literature predominantly focuses on the assessment of forest ECC (40.58%) and the enhancement of forest ES (23.42%); and (3) geographically, research findings are heavily concentrated in Asia, representing 95.40% of the total. Notably, China emerges as the primary contributor to research in this field, accounting for a substantial 94.12%. Based on the above analysis, this review summarizes the significant advancements in forest ecosystems, ECC, and ES, while also delving into the key scientific issues that need to be addressed. Furthermore, it offers valuable insights from forest ecosystems in tackling KDC, with the goal of offering guidance and strategic recommendations for future research and practices in managing delicate ecological environments. Full article
(This article belongs to the Special Issue Construction and Maintenance of Desert Forest Plantation)
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<p>The process of literature retrieval.</p>
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<p>Annual distribution of the literature.</p>
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<p>The breakdown of the institutions and nations described in the study.</p>
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<p>Top 20 units in total literature research volume.</p>
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<p>Distribution of research themes in the literature.</p>
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<p>KDC forms a stable forest ecosystem: (<b>a</b>) forest ecosystems before KDC; (<b>b</b>) forest ecosystems after KDC.</p>
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<p>Forest restoration promotes source-patch connectivity: (<b>a</b>) forest ecosystems before KDC; (<b>b</b>) forest ecosystems after KDC.</p>
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<p>The forest landscape structure in KD areas is a single one, and is functionally poor.</p>
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<p>The forest industry structure for KDC is a single one.</p>
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<p>Severe land fragmentation in KD areas.</p>
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<p>Threats to forests: (<b>a</b>) forest pests and diseases in KDC; (<b>b</b>) forest fires in KDC.</p>
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<p>Top 20 countries in the world in terms of forest area in 2020 (data from FAO official database).</p>
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<p>Comparison of different soil moisture conditions in KDC forests: (<b>a</b>) perennial arid region; (<b>b</b>) abundant water volume.</p>
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<p>Different forest ecosystem restoration models in KDC: (<b>a</b>) artificial afforestation; (<b>b</b>) closed mountain afforestation.</p>
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<p>Forest drought stress intensity is high in KD areas.</p>
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15 pages, 3264 KiB  
Article
Successions of Bacterial and Fungal Communities in Biological Soil Crust under Sand-Fixation Plantation in Horqin Sandy Land, Northeast China
by Chengyou Cao, Ying Zhang and Zhenbo Cui
Forests 2024, 15(9), 1631; https://doi.org/10.3390/f15091631 - 15 Sep 2024
Viewed by 272
Abstract
Biological soil crusts (BSCs) serve important functions in conserving biodiversity and ecological service in arid and semi-arid regions. Afforestation on shifting sand dunes can induce the formation of BSC on topsoil, which can accelerate the restoration of a degraded ecosystem. However, the studies [...] Read more.
Biological soil crusts (BSCs) serve important functions in conserving biodiversity and ecological service in arid and semi-arid regions. Afforestation on shifting sand dunes can induce the formation of BSC on topsoil, which can accelerate the restoration of a degraded ecosystem. However, the studies on microbial community succession along BSC development under sand-fixation plantations in desertification areas are limited. This paper investigated the soil properties, enzymatic activities, and bacterial and fungal community structures across an age sequence (0-, 10-, 22-, and 37-year-old) of BSCs under Caragana microphylla sand-fixation plantations in Horqin Sandy Land, Northeast China. The dynamics in the diversities and structures of soil bacterial and fungal communities were detected via the high-throughput sequencing of the 16S and ITS rRNA genes, respectively. The soil nutrients and enzymatic activities all linearly increased with the development of BSC; furthermore, soil enzymatic activity was more sensitive to BSC development than soil nutrients. The diversities of the bacterial and fungal communities gradually increased along BSC development. There was a significant difference in the structure of the bacterial/fungal communities of the moving sand dune and BSC sites, and similar microbial compositions among different BSC sites were found. The successions of microbial communities in the BSC were characterized as a sequential process consisting of an initial phase of the faster recoveries of dominant taxa, a subsequent slower development phase, and a final stable phase. The quantitative response to BSC development varied with the dominant taxa. The secondary successions of the microbial communities of the BSC were affected by soil factors, and soil moisture, available nutrients, nitrate reductase, and polyphenol oxidase were the main influencing factors. Full article
(This article belongs to the Section Forest Soil)
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<p>Cluster analysis of the structures of soil bacterial (<b>a</b>) and fungal (<b>b</b>) communities. MSD: moving sand dune; SC-10, SC-22, and SC-37: 10-, 22-, and 37-year biological soil crust, respectively.</p>
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<p>Relative abundances of dominant taxa in different sites. (<b>a</b>): bacterial phylum; (<b>b</b>): bacterial genus; (<b>c</b>): fungal phylum; (<b>d</b>): fungal genus. MSD: moving sand dune; SC-10, SC-22, and SC-37: 10-, 22-, and 37-year biological soil crust, respectively.</p>
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<p>Linear responses of the relative abundances of dominant bacterial phyla to biological soil crust age. (<b>a</b>): Proteobacteria; (<b>b</b>): Actinobacteria; (<b>c</b>): Chloroflexi; (<b>d</b>): Bacteroidetes.</p>
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<p>Linear responses of the relative abundances of dominant bacterial genera to BSC age. (<b>a</b>): <span class="html-italic">Sphingomonas</span>; (<b>b</b>): RB41; (<b>c</b>): <span class="html-italic">Ambiguous</span>; (<b>d</b>): <span class="html-italic">Segetibacter</span>; (<b>e</b>): <span class="html-italic">Flavisolibacter</span>; (<b>f</b>): <span class="html-italic">Haliangium</span>; (<b>g</b>): <span class="html-italic">Pseudarthrobacter</span>; (<b>h</b>): <span class="html-italic">Roseiflexus</span>.</p>
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<p>RDA between bacterial (<b>a</b>)/fungal (<b>b</b>) community structure and soil properties. SM: soil moisture; SOM: soil organic matter; TN: total N; AN: NH<sub>4</sub>-N; TP: total P; AP: available P; AK: available K. MSD: moving sand dune (0 yr); SC10, SC22, and SC37: 10, 22, and 37 yr biological soil crust, respectively.</p>
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17 pages, 13310 KiB  
Article
Spatiotemporal Dynamics and Drivers of Coastal Wetlands in Tianjin–Hebei over the Past 80 Years
by Feicui Wang, Fu Wang, Ke Zhu, Peng Yang, Tiejun Wang, Yunzhuang Hu and Lijuan Ye
Water 2024, 16(18), 2612; https://doi.org/10.3390/w16182612 (registering DOI) - 14 Sep 2024
Viewed by 349
Abstract
Coastal wetland ecosystems are critical due to their diverse ecological and economic benefits, yet they have been significantly affected by human activities over the past century. Understanding the spatiotemporal changes and underlying factors influencing these ecosystems is crucial for developing effective ecological protection [...] Read more.
Coastal wetland ecosystems are critical due to their diverse ecological and economic benefits, yet they have been significantly affected by human activities over the past century. Understanding the spatiotemporal changes and underlying factors influencing these ecosystems is crucial for developing effective ecological protection and restoration strategies. This study examines the Tianjin–Hebei coastal wetlands using topographic maps from the 1940s and Landsat satellite imagery from 1975, 2000, and 2020, supplemented by historical literature and field surveys. The aim is to analyze the distribution and classification of coastal wetlands across various temporal intervals. The findings indicate an expansion of the Tianjin–Hebei coastal wetlands from 7301.34 km2 in the 1940s to 8041.73 km2 in 2020. However, natural wetlands have declined by approximately 44.36 km2/year, while constructed wetlands have increased by around 53.61 km2/year. The wetlands have also become increasingly fragmented, with higher numbers of patches and densities. The analysis of driving factors points to human activities—such as urban construction, cultivated land reclamation, sea aquaculture, and land reclamation—as the primary contributors to these changes. Furthermore, the study addresses the ecological and environmental issues stemming from wetland changes and proposes strategies for wetland conservation. This research aims to enhance the understanding among researchers and policymakers of the dynamics and drivers of coastal wetland changes, as well as the major challenges in their protection, and to serve as a foundation for developing evidence-based conservation and restoration strategies. Full article
(This article belongs to the Special Issue Soil and Groundwater Quality and Resources Assessment)
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<p>Location map of the study area.</p>
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<p>Distribution of wetlands in different periods.</p>
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<p>Nature and constructed wetland in different periods (Unit: km<sup>2</sup>).</p>
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<p>Spatial distribution of the main trajectory codes for wetland changes in the study area.</p>
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<p>Illustrates the wetland distribution around Tianjin Port.</p>
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<p>Schematic diagram of coastal wetland restoration locations and projects in the study area.</p>
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12 pages, 6075 KiB  
Article
Spatial and Temporal Evolution Characteristics of the Ecosystem Service Value along the Beijing–Hangzhou Grand Canal
by Yuqing Xu, Di Hu, Handong He, Zhuo Zhang and Duo Bian
Appl. Sci. 2024, 14(18), 8295; https://doi.org/10.3390/app14188295 (registering DOI) - 14 Sep 2024
Viewed by 189
Abstract
The study of the spatiotemporal evolution characteristics of ecosystem service values (ESVs) is an important basis for the coordinated development of the regional nature, economy, and society and the optimization of the ecological environment. The ecological zone is an important component of the [...] Read more.
The study of the spatiotemporal evolution characteristics of ecosystem service values (ESVs) is an important basis for the coordinated development of the regional nature, economy, and society and the optimization of the ecological environment. The ecological zone is an important component of the Beijing–Hangzhou Grand Canal cultural belt. Ecosystem services are a concrete manifestation of land use structure and function. A thorough study of the value of ecosystem services in areas along the Beijing–Hangzhou Grand Canal is important for promoting the long-term and stable sustainable development of the regional economy. Based on a revised equivalent factor table, this study selected land use data from 1991, 2006, and 2021 to analyze the temporal and spatial evolution characteristics of ESVs along the Beijing–Hangzhou Grand Canal. The results show that (1) the ESVs along the Grand Canal first increased and then decreased from 1991 to 2021. The reason for this is the change in land use along the Beijing–Hangzhou Grand Canal. Specifically, the conversion of land use types from farmland to water areas contributed to the increase in the value of ecosystem services, while the conversion of farmland and grassland into construction land led to a decrease in the service value of the region. (2) the value of individual ecosystem services along the Beijing–Hangzhou Grand Canal from 1991 to 2021 varied greatly. The ESV provided by hydrological regulation was the largest and the ESV provided by maintenance nutrients was the smallest. (3) the areas along the Beijing–Hangzhou Grand Canal exhibited a specific pattern in terms of the value of ecosystem services, with the regions centered in Beijing and Tianjin showing relatively low values, while the middle section of the Grand Canal demonstrated relatively high ESV. According to the spatial and temporal distribution characteristics and the leading factor for the changes in ESVs, appropriate policies can be formulated in respective regions to implement ecological protection and land use planning, thereby providing a reference for the adaptation and restoration strategies of the ecosystem along the Grand Canal. Full article
(This article belongs to the Section Earth Sciences)
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<p>Location and scope of the study area.</p>
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<p>Changes in individual ESVs.</p>
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<p>ESVs from 1991 to 2021.</p>
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<p>Changes in ESVs from 1991 to 2021.</p>
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15 pages, 4761 KiB  
Article
Photosynthetic Performance and Heterogeneous Anatomical Structure in Prunus humilis under Saline–Alkaline Stress
by Yongjiang Sun, Xiang Wang, Qiwen Shao, Qi Wang, Siyuan Wang, Ruimin Yu, Shubin Dong, Zhiming Xin, Huijie Xiao and Jin Cheng
Agriculture 2024, 14(9), 1606; https://doi.org/10.3390/agriculture14091606 - 14 Sep 2024
Viewed by 174
Abstract
Prunus (P.) humilis is a small woody shrub that has been widely planted in northern China due to its high nutritional value and resistance to environmental abiotic stress. However, little information about the responses of photosynthetic performance and the anatomical structure of P. [...] Read more.
Prunus (P.) humilis is a small woody shrub that has been widely planted in northern China due to its high nutritional value and resistance to environmental abiotic stress. However, little information about the responses of photosynthetic performance and the anatomical structure of P. humilis to saline–alkaline stress (SAS) under field conditions is available. Here, we investigated the behavior of the photosynthetic apparatus of P. humilis by measuring the chlorophyll fluorescence parameters under moderate (MS) and severe (SS) saline–alkaline stress and analyzing their relationship to leaf anatomical traits. The results showed that SAS significantly decreased the net photosynthetic rate (An) but increased the substomatal CO2 concentration (Ci). The maximum photochemical quantum yield of PSII (Fv/Fm) and the efficient quantum yield of PSII [Y(II)] decreased under MS and SS conditions, and this decrease was greater in the distal (tip) than in the proximal (base) leaf. Compared to the leaf tip, the base of P. humilis leaves seemed to have a stronger ability to cope with MS, as was made evident by the increased quantum yield of regulated energy dissipation in PSII [Y(NPQ)] and decreased excitation pressure (1-qP). Under MS and SS conditions, the shapes of the chlorophyll a fluorescence transient (OJIP) changed markedly, accompanied by decreased PSII acceptor-side and donor-side activities. The palisade–spongy tissue ratio (PT/ST) increased significantly with increasing stress and showed a significant correlation with the chlorophyll fluorescence parameters in the leaf base. These results suggested that the activity of PSII electron transfer in the upper leaf position tended to be more sensitive to saline–alkaline stress, and a chlorophyll fluorescence analysis proved to be a good technique to monitor impacts of saline–alkaline stress on photosynthetic function, which may reflect the non-uniformity of leaf anatomy. In addition, among the anatomical structure parameters, the palisade–spongy tissue ratio (PT/ST) can be used as a sensitive indicator to reflect the non-uniform of photosynthetic function and leaf anatomy under stress. Full article
(This article belongs to the Section Crop Production)
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<p>Study area located in Dengkou County, Inner Mongolia Autonomous Region, China, and sampling points.</p>
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<p>Changes in An (<b>A</b>), Gs (<b>B</b>), Ci (<b>C</b>), and LS (<b>D</b>) in <span class="html-italic">P. humilis</span> leaves under control and SAS (moderate, MS; and severe, SS) conditions. Significant differences between leaves subjected to different stress conditions were examined (<span class="html-italic">p</span> &lt; 0.05). Different letters indicate significant differences compared to the control.</p>
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<p>Representative chlorophyll fluorescence images of Fo and Fm in <span class="html-italic">P. humilis</span> leaves under dark-adapted control and SAS (moderate, MS; and severe, SS) conditions. On the right side of the image are color codes ranging from black to red.</p>
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<p>Changes in SPAD (<b>A</b>) and Fv/Fm (<b>B</b>) in the tip and base of <span class="html-italic">P. humilis</span> leaves under control and SAS (moderate, MS; and severe, SS) conditions. Significant differences are indicated by different lowercase letters (<span class="html-italic">p</span> &lt; 0.05) between positions in leaves subjected to different stress conditions. The means and SEs were calculated from a total of 6–8 plants.</p>
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<p>Changes in Y(II) (<b>A</b>), Y(NPQ) (<b>B</b>), and Y(NO) (<b>C</b>) in the tip and base of <span class="html-italic">P. humilis</span> under control and SAS (moderate, MS; and severe, SS) conditions. Different lowercase letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05) between positions in leaves subjected to different stress conditions. The means and SEs were calculated from a total of 6–8 plants.</p>
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<p>Changes in PSII excitation pressure (1-qP) in the tip and base of <span class="html-italic">P. humilis</span> under control and SAS (moderate, MS; and severe, SS) conditions. Significant differences are indicated by different lowercase letters (<span class="html-italic">p</span> &lt; 0.05) between positions in leaves subjected to different stress conditions. The means and SEs were calculated from a total of 6–8 plants.</p>
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<p>Changes in the OJIP transients in the tip (<b>A</b>,<b>C</b>) and base (<b>B</b>,<b>D</b>) of <span class="html-italic">P. humilis</span> under control and SAS (moderate, MS; and severe, SS) conditions. ΔVt (<b>C</b>,<b>D</b>) was obtained by subtracting the kinetics of control leaves from the kinetics of stressed leaves. O indicates the O step at about 20 μs; K indicates the Kstep at about 300 μs; J indicates the J step at about 2 ms; I indicates the I step at about 30 ms; P indicates the P step at about 1 s. The average of six independent measurements is used for each curve.</p>
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<p>Changes in Wk (<b>A</b>), RC/CSo (<b>B</b>), Ψo (<b>C</b>), and PIabs (<b>D</b>) in the tip and base of <span class="html-italic">P. humilis</span> under control and SAS (moderate, MS; and severe, SS) conditions. Different lowercase letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05) between positions in leaves subjected to different stress conditions. The means and SEs were calculated from a total of 6–8 plants.</p>
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<p>Changes in leaf structure images in the tip (<b>A</b>–<b>C</b>) and base (<b>D</b>–<b>F</b>) under control and SAS (moderate, MS; and severe, SS) conditions.</p>
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<p>Relationships between chlorophyll fluorescence parameters and anatomical structure characteristics of <span class="html-italic">P. humilis</span>. (<b>A</b>) Leaf tip; (<b>B</b>) leaf base. Asterisk indicates significant correlations (<span class="html-italic">p</span> &lt;  0.05).</p>
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14 pages, 2618 KiB  
Review
A Critical Review of the Crucial Role of the Yellow River’s Sediment in the Interfacial Migration and Fate of Pollutants and Prospects for the Application of Environmental Sediment Restoration
by Xiaojuan Sun, Zhenzhen Yu, Qiting Zuo, Quantao Cui, Ziyu Song, Lin Gong, Shoushu Liu and Wei Zhang
Toxics 2024, 12(9), 669; https://doi.org/10.3390/toxics12090669 (registering DOI) - 14 Sep 2024
Viewed by 178
Abstract
Considering the increasing sediment content and increasing sediment flux of the Yellow River over the years, it is of significance to investigate the potential interfacial force mechanism between pollutants and Yellow River sediment. This article has reviewed the current research on the Yellow [...] Read more.
Considering the increasing sediment content and increasing sediment flux of the Yellow River over the years, it is of significance to investigate the potential interfacial force mechanism between pollutants and Yellow River sediment. This article has reviewed the current research on the Yellow River sediments’ mineral structures while investigating the potential interaction force between sediment and pollutants in the water environment. This article has conducted a comprehensive analysis of the influence of sediment on the migration of pollutants in the water environment. What is more, the authors have provided an outlook on the future applications of sediment in ecological environmental systems. Yellow River sediment mainly included minerals and some clay phases, while its irregular surface provided sites for the interface adsorption of pollutants. The interface force between the sediment and pollutants is mainly attributed to promoting bacterial growth on the surface of sediments, physisorption, and chemisorption forces. The sediments carry and transport pollutants during the long-distance water flow migration process. The sediment should be effectively utilized and better integrated into ecological or environmental restoration systems. This article provides a reference for studying the behavior of Yellow River sediment and the direction of future efficient utilization. Full article
(This article belongs to the Section Toxicity Reduction and Environmental Remediation)
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<p>(<b>a</b>) The main geological conditions along the Yellow River and the dominant mineral composition in the collected sediment samples; (<b>b</b>) SEM image of the collected suspended sediments downstream of the Yellow River [<a href="#B14-toxics-12-00669" class="html-bibr">14</a>,<a href="#B22-toxics-12-00669" class="html-bibr">22</a>]; and (<b>c</b>) XRD patterns of the collected suspended sediments downstream of the Yellow River [<a href="#B14-toxics-12-00669" class="html-bibr">14</a>,<a href="#B22-toxics-12-00669" class="html-bibr">22</a>].</p>
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<p>The potential interface interactions between the sediment and pollutants: (<b>A</b>) sediment acting in the nitrification/denitrification process. (<b>B</b>) contributions of different components of sediment to the adsorption of TC. Herein, (a) presenting adsorption capacity of different components of SS to TC; (b) K<sub>d</sub> values and (c) presenting the contributions of different mineral fractions to the overall adsorption coefficients; adsorption energies (d) SiO<sub>2</sub>, (e) Al<sub>2</sub>O<sub>3</sub>, and (f) Fe<sub>2</sub>O<sub>3</sub> for TC adsorption. (<b>C</b>) sediment interfacial reaction with heavy metal ions; (<b>D</b>) potential interfacial reaction between sediment (collected from the Lanzhou section) and CTC.</p>
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<p>The potential influence of SS on transport pathways and dispersion of pollutants: (<b>a</b>) SS with oil pollutants; (<b>b</b>) SS with trace metals; (<b>c</b>) SS with P; (<b>d</b>) SS with heavy metals.</p>
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<p>Potential application of sediment in the environmental restoration process: (<b>a</b>) sediment application in eco-concrete materials; (<b>b</b>) a mechanism diagram of sediment acting in the environmental remediation process.</p>
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17 pages, 2828 KiB  
Article
Short-Term Artificial Revegetation with Herbaceous Species Can Prevent Soil Degradation in a Black Soil Erosion Gully of Northeast China
by Jielin Liu, Yong Zhu, Jianye Li, Xiaolei Kong, Qiang Zhang, Xueshan Wang, Daqing Peng and Xingyi Zhang
Land 2024, 13(9), 1486; https://doi.org/10.3390/land13091486 - 13 Sep 2024
Viewed by 251
Abstract
Understanding the effects of short-term artificial revegetation on preventing soil degradation in erosion gullies of black soil areas is essential to choosing the most suitable species of vegetation for controlling the development of erosion gullies. A field experiment with short-term artificial revegetation with [...] Read more.
Understanding the effects of short-term artificial revegetation on preventing soil degradation in erosion gullies of black soil areas is essential to choosing the most suitable species of vegetation for controlling the development of erosion gullies. A field experiment with short-term artificial revegetation with herbaceous species (Medicago sativa L., Glycyrrhiza pallidiflora Maxim., Elytrigia repens (L.) Desv. ex Nevski, Rheum palmatum L., Asparagus officinalis L., Trifolium repens L., Bromus inermis Leyss., Elymus dahuricus Turcz.) and a runoff scouring test were conducted in a typical erosion gully in a black soil area. Soil erosion, physicochemical characteristics, and shoot/root characteristics were measured to evaluate the effects of short-term artificial revegetation. Short-term artificial revegetation significantly decreased (p < 0.05) sediment yield by 91.1% ± 7.2% compared with that of bare soil. Soil total nitrogen (TN), total potassium (TP), available phosphorus (AP), cation exchange capacity (CEC), water-stable aggregates > 0.25 mm (WR0.25), and aggregate mean weight diameter (MWD) and mean geometric diameter (GWD) were significantly correlated with vegetated treatments, indicating they were factors sensitive to short-term artificial revegetation. Except for total potassium (TK), the other soil characteristics decreased in vegetated treatments. In addition to increasing TK, vegetated treatments also increased soil available nitrogen (AN)/TN ratios in the short term. The overall effects of different herbaceous species on soil and water conservation, soil quality, and vegetation growth were evaluated, and Trifolium repens L. is the most suitable for preventing soil degradation in an erosion gully. The results of this study will provide a reference for the restoration and protection of the ecological environment in black soil areas with gully erosion. Full article
(This article belongs to the Special Issue Recent Progress in Land Degradation Processes and Control)
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<p>Location of the study site in Baiquan County, Heilongjiang Province, China, with the color image showing the erosion gully examined in the study. Note: (<b>a</b>) is the location of the study site, (<b>b</b>) is the aerial view of the experimental gully slope before artificial revegetation, and (<b>c</b>) is the aerial view of the experimental gully slope after artificial revegetation.</p>
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<p>Shoot and root characteristics ((<b>A</b>) shoot dry weight; (<b>B</b>) specific root length; (<b>C</b>) root shoot ratio; (<b>D</b>) root length density; (<b>E</b>) root surface area density; (<b>F</b>) root volume) of eight herbaceous species used in vegetation restoration of a gully slope. Values are mean ± SE (<span class="html-italic">n</span> = 3).</p>
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<p>Correlation matrix for vegetation treatments and related soil characteristics. The color of each square is proportional to the value of Pearson’s correlation coefficient. Red indicates a positive correlation (dark green, <span class="html-italic">r</span> = 1); blue indicates a negative correlation (dark red, <span class="html-italic">r</span> = 1). * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001. Abbreviations: SY, sediment yield; SR, surface runoff; ER, erosion rate; TN, soil total nitrogen; SOC, soil organic carbon; BD, soil bulk density; SWC, soil water content; FC, field capacity; SP, soil porosity; TK, soil total potassium; AP, soil available phosphorus; AN, soil available N; CEC, cation exchange capacity; WR<sub>0.25</sub>, water-stable aggregates (&gt;0.25 mm); MWD, aggregate mean weight diameter; GWD, aggregate mean geometric diameter.</p>
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<p>Sediment yield, surface runoff, and vegetation coverage with different species of herbaceous vegetation. Values are mean ± SE (<span class="html-italic">n</span> = 3).</p>
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<p>Soil aggregate fractions with different herbaceous species on an erosion gully slope. (<b>A</b>) 0–5 cm soil depth; (<b>B</b>) 5–10 cm soil depth.</p>
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24 pages, 11964 KiB  
Article
Projecting Response of Ecological Vulnerability to Future Climate Change and Human Policies in the Yellow River Basin, China
by Xiaoyuan Zhang, Shudong Wang, Kai Liu, Xiankai Huang, Jinlian Shi and Xueke Li
Remote Sens. 2024, 16(18), 3410; https://doi.org/10.3390/rs16183410 - 13 Sep 2024
Viewed by 332
Abstract
Exploring the dynamic response of land use and ecological vulnerability (EV) to future climate change and human ecological restoration policies is crucial for optimizing regional ecosystem services and formulating sustainable socioeconomic development strategies. This study comprehensively assesses future land use changes and EV [...] Read more.
Exploring the dynamic response of land use and ecological vulnerability (EV) to future climate change and human ecological restoration policies is crucial for optimizing regional ecosystem services and formulating sustainable socioeconomic development strategies. This study comprehensively assesses future land use changes and EV in the Yellow River Basin (YRB), a climate-sensitive and ecologically fragile area, by integrating climate change, land management, and ecological protection policies under various scenarios. To achieve this, we developed an EV assessment framework combining a scenario weight matrix, Markov chain, Patch-generating Land Use Simulation model, and exposure–sensitivity–adaptation. We further explored the spatiotemporal variations of EV and their potential socioeconomic impacts at the watershed scale. Our results show significant geospatial variations in future EV under the three scenarios, with the northern region of the upstream area being the most severely affected. Under the ecological conservation management scenario and historical trend scenario, the ecological environment of the basin improves, with a decrease in very high vulnerability areas by 4.45% and 3.08%, respectively, due to the protection and restoration of ecological land. Conversely, under the urban development and construction scenario, intensified climate change and increased land use artificialization exacerbate EV, with medium and high vulnerability areas increasing by 1.86% and 7.78%, respectively. The population in high and very high vulnerability areas is projected to constitute 32.75–33.68% and 34.59–39.21% of the YRB’s total population in 2040 and 2060, respectively, and may continue to grow. Overall, our scenario analysis effectively demonstrates the positive impact of ecological protection on reducing EV and the negative impact of urban expansion and economic development on increasing EV. Our work offers new insights into land resource allocation and the development of ecological restoration policies. Full article
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<p>Study region. (<b>a</b>) Overview of geographical location and the DEM. (<b>b</b>) Photos taken in July 2023 regarding sediment and topography in the Inner Mongolia reach of the Yellow River Basin. (<b>c</b>) Timeline of critical policy interventions.</p>
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<p>Integrated assessment framework for ecological vulnerability in the YRB under Multi-scenarios coupled with Markov-PLUS–ESA models. Note: LULC: land use/land cover; ECMS: ecological conservation management scenario; HTS: historical trend scenario; UDCS: urban development and construction scenario; PLUS: patch-generating land use simulation; ESA: exposure–sensitivity–adaptation; EV: ecological vulnerability.</p>
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<p>Logistic regression analysis of factors driving land use patterns in the Yellow River Basin. EXP(B) refers to e<sup>B</sup>, where B is the beta coefficient of each variable in the logistic regression model. “―” means that <span class="html-italic">p</span> ≤ 0.05 does not pass the test and is excluded.</p>
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<p>Spatial pattern of LULC in (<b>a</b>) 2010 and 2020 (Ground Truth) and (<b>b</b>) 2020 by PLUS model simulation. (<b>c</b>) The LULC transferred information from 2010 to 2020. PA: Producer’s Accuracy.</p>
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<p>Land use modeling under different scenarios in the YRB from 2030 to 2070. (<b>a</b>) The spatial pattern of LULC; (<b>b</b>) the area statistics for different LULC.</p>
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<p>(<b>a</b>) The spatial distribution of future ecological vulnerability and (<b>b</b>) the percentage of ecological vulnerability area at different levels (2020, 2040, 2060) in the YRB under different scenarios.</p>
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<p>(<b>a</b>) EVSI values under different scenarios in the YRB, and (<b>b</b>) EVSI change rates under the ecological conservation management scenario and the urban development and construction scenario compared to the historical trend scenario.</p>
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<p>Populations under different levels of ecological vulnerability in future scenarios in the YRB.</p>
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15 pages, 11451 KiB  
Article
Impact of Climate Change on Distribution of Suitable Niches for Black Locust (Robinia pseudoacacia L.) Plantation in China
by Shanchao Zhao, Hesong Wang and Yang Liu
Forests 2024, 15(9), 1616; https://doi.org/10.3390/f15091616 - 13 Sep 2024
Viewed by 202
Abstract
Black locust (Robinia pseudoacacia L.), one of the major afforestation species adopted in vegetation restoration, is notable for its rapid root growth and drought resistance. It plays a vital role in improving the natural environment and soil fertility, contributing significantly to soil [...] Read more.
Black locust (Robinia pseudoacacia L.), one of the major afforestation species adopted in vegetation restoration, is notable for its rapid root growth and drought resistance. It plays a vital role in improving the natural environment and soil fertility, contributing significantly to soil and water conservation and biodiversity protection. However, compared with natural forests, due to the low diversity, simple structure and poor stability, planted forests including Robinia pseudoacacia L. are more sensitive to the changing climate, especially in the aspects of growth trend and adaptive range. Studying the ecological characteristics and geographical boundaries of Robinia pseudoacacia L. is therefore important to explore the adaptation of suitable niches to climate change. Here, based on 162 effective distribution records in China and 22 environmental variables, the potential distribution of suitable niches for Robinia pseudoacacia L. plantations in past, present and future climates was simulated by using a Maximum Entropy (MaxEnt) model. The results showed that the accuracy of the MaxEnt model was excellent and the area under the curve (AUC) value reached 0.937. Key environmental factors constraining the distribution and suitable intervals were identified, and the geographical distribution and area changes of Robinia pseudoacacia L. plantations in future climate scenarios were also predicted. The results showed that the current suitable niches for Robinia pseudoacacia L. plantations covered 9.2 × 105 km2, mainly distributed in the Loess Plateau, Huai River Basin, Sichuan Basin, eastern part of the Yunnan–Guizhou Plateau, Shandong Peninsula, and Liaodong Peninsula. The main environmental variables constraining the distribution included the mean temperature of the driest quarter, precipitation of driest the quarter, temperature seasonality and altitude. Among them, the temperature of the driest quarter was the most important factor. Over the past 90 years, the suitable niches in the Sichuan Basin and Yunnan–Guizhou Plateau have not changed significantly, while the suitable niches north of the Qinling Mountains have expanded northward by 2° and the eastern area of Liaoning Province has expanded northward by 1.2°. In future climate scenarios, the potential suitable niches for Robinia pseudoacacia L. are expected to expand significantly in both the periods 2041–2060 and 2061–2080, with a notable increase in highly suitable niches, widely distributed in southern China. A warning was issued for the native vegetation in the above-mentioned areas. This work will be beneficial for developing reasonable afforestation strategies and understanding the adaptability of planted forests to climate change. Full article
(This article belongs to the Section Forest Meteorology and Climate Change)
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<p>The distribution records of <span class="html-italic">Robinia pseudoacacia</span> L. and the approximate range of the Loess Plateau and the Yunnan–Guizhou Plateau.</p>
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<p>Receiver operating characteristic (ROC) curve of the MaxEnt model used in this study.</p>
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<p>Response curves of <span class="html-italic">Robinia pseudoacacia</span> L. plantations to the main environmental factors.</p>
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<p>Potential distribution areas of <span class="html-italic">Robinia pseudoacacia</span> L. plantations in the current climate of China.</p>
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<p>Potential distribution areas of <span class="html-italic">Robinia pseudoacacia</span> L. plantations for the period from 1931 to 1960 in China.</p>
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<p>Potential distribution areas of <span class="html-italic">Robinia pseudoacacia</span> L. plantations in the period from 1961 to 1990 in China.</p>
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<p>Potential distribution areas of <span class="html-italic">Robinia pseudoacacia</span> L. plantations in future climate change scenarios (2041–2060).</p>
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<p>Potential distribution areas of <span class="html-italic">Robinia pseudoacacia</span> L. plantations in future climate change scenarios (2041–2060).</p>
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<p>Potential distribution areas of <span class="html-italic">Robinia pseudoacacia</span> L. plantations in future climate change scenarios (2061–2080).</p>
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15 pages, 12378 KiB  
Article
Induction of Tetraploids in Phellodendron amurense Rupr. and Its Effects on Morphology and Alkaloid Content
by Jing Li, Ning Yu, Can-Can Lv, Long Tie, Jia-Ju Pang, Jin-Wang Zhang and Jun Wang
Agronomy 2024, 14(9), 2090; https://doi.org/10.3390/agronomy14092090 - 13 Sep 2024
Viewed by 208
Abstract
Phellodendron amurense Rupr. is a precious medicinal tree species in northeast China. However, P. amurense resources have been severely destroyed due to uncontrolled overharvest and the limited innovation of new germplasms by traditional cross-breeding. In this study, polyploid breeding was introduced to the [...] Read more.
Phellodendron amurense Rupr. is a precious medicinal tree species in northeast China. However, P. amurense resources have been severely destroyed due to uncontrolled overharvest and the limited innovation of new germplasms by traditional cross-breeding. In this study, polyploid breeding was introduced to the improvement program of P. amurense. Fifty-four tetraploid plants of P. amurense were first produced by colchicine-induced adventitious bud chromosome doubling in stem segment explants. The induction frequency reached 36.16% (1.0 g L−1 colchicine solution for 48 h treatment) and 50.00% (2.0 g L−1 colchicine solution for 24 h treatment), respectively, showing the high efficiency of the somatic chromosome doubling based on the organogenesis system. Tetraploidization resulted in significant phenotypic variation, such as larger and thicker leaves, thicker stems, and bigger stomata. Ultra-performance liquid chromatography–mass spectrometry (UPLC–MS/MS) analysis identified 59 differentially accumulated alkaloids (DAAs) between the leaf and stem samples of tetraploids, including 32 upregulated and 27 downregulated in stems. For both leaf and stem samples, 18 DAAs were identified between diploids and tetraploids, with 16 DAAs upregulated in tetraploid leaves and 8 upregulated in tetraploid stems, suggesting that polyploidization caused significant alterations in alkaloid contents in leaves and stems of P. amurense. The contents of the main medicinal compounds, such as berberine, jatrorrhizine, phellodendrine, and palmatine, increased significantly in the leaf and/or stem samples after polyploidization. This finding implied that polyploid breeding might be an effective approach for improving P. amurense, beneficial to preserving and exploiting natural resources. Full article
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<p>Ploidy detection, leaf anatomy, and stomatal characteristics of diploid and tetraploid <span class="html-italic">P. amurense</span>. (<b>A</b>,<b>B</b>) Flow cytometric analysis of diploid and tetraploid <span class="html-italic">P. amurense</span>. (<b>C</b>,<b>D</b>) Leaf anatomical analysis of diploid and tetraploid plantlets. Ue, upper epidermis; Le, lower epidermis; Pt, palisade tissue; St, spongy tissue. (<b>E</b>,<b>F</b>) SEM observation of the stomatal characteristics of diploids and tetraploids. The bars are equal to 200 μm in (<b>C</b>,<b>D</b>) and 50 μm in (<b>E</b>,<b>F</b>).</p>
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<p>Comparison between diploids and tetraploids in <span class="html-italic">P. amurense</span> growth and stomatal traits. * and *** indicate statistically significant differences by Student’s <span class="html-italic">t</span>-test between samples at levels of <span class="html-italic">p</span> &lt; 0.05 and 0.001, respectively. Data are represented by mean ± SE.</p>
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<p>The content analysis of alkaloids in different tissues of diploid and tetraploid <span class="html-italic">P. amurense</span>. (<b>A</b>) Principal component analysis of the alkaloid data from the 2X-leaf, 2X-stem, 4X-leaf, and 4X-stem samples. (<b>B</b>) Cluster heatmap of all detected alkaloids in the different samples. (<b>C</b>) Venn diagram demonstration of the alkaloids identified in different samples. (<b>D</b>–<b>G</b>) Relative contents of the top 10 alkaloids in the 2X-leaf, 2X-stem, 4X-leaf, and 4X-stem samples. Error bars indicate standard deviations; pme2024: serotonin*; pmb0774: N-hydroxytryptamine*; pma2987: histidinol; pmb0484: choline; Hmmp001310: 3-indoleacrylic acid; Hmgp002327: 3-amino-2-naphthoic acid; MWStz147: synephrine; mws0005: tryptamine; pmp001287: N-benzylmethylene isomethylamine; pme1738: 3-carbamyl-1-methylpyridinium; Lmlp001545: 3’,6-dihydroxy-4’,7-dimethoxyl-N,N-dimethyltetrahydroisoquinoline; Lmwp102801: 14-formyldihydrorutaecarpin; mws0005: tryptamine; MWStz070: N-(2-hydroxy-4-methoxyphenyl) acetamide.</p>
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<p>Differentially accumulated alkaloid (DAA) identification and KEGG enrichment pathway analysis between leaf and stem samples for diploids and tetraploids. (<b>A</b>) Volcanic plot showing upregulated and downregulated alkaloids between the 2X-leaf and 2X-stem samples; (<b>B</b>) fold changes of the top DAAs in 2X-leaf vs. 2X-stem; (<b>C</b>) comparison of the relative contents of four important alkaloids (berberine, phellodendrine, palmatine, and jatrorrhizine) between the 2X-leaf and 2X-stem samples; (<b>D</b>) bubble plot showing enrichment pathways of the DAAs between the 2X-leaf and 2X-stem samples; (<b>E</b>) volcanic plot showing alkaloids that were upregulated and downregulated between the 4X-leaf and 4X-stem samples; (<b>F</b>) fold changes of the top DAAs in 4X-leaf vs. 4X-stem; (<b>G</b>) comparison of the relative contents of the four important alkaloids between the 4X-leaf and 4X-stem samples; (<b>H</b>) bubble plot showing enrichment pathways of the DAAs between the 4X-leaf and 4X-stem samples. ** and *** indicate statistically significant differences determined by a student’s <span class="html-italic">t</span>-test between samples at <span class="html-italic">p</span> &lt; 0.01 and 0.001, respectively.</p>
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<p>Identification of differentially accumulated alkaloids (DAAs) and enrichment pathway analysis between diploids and tetraploids for leaf and stem samples. (<b>A</b>) Volcanic plot showing upregulated and downregulated alkaloids between the 2X-leaf and 4X-leaf samples; (<b>B</b>) fold changes of the DAAs in 2X-leaf vs. 4X-leaf; (<b>C</b>) comparison of the relative contents of the four important alkaloids between the 2X-leaf and 4X-leaf samples; (<b>D</b>) bubble plot showing enrichment pathways of the DAAs between the 2X-leaf and 4X-leaf samples; (<b>E</b>) volcanic plot showing the upregulated and downregulated alkaloids between the 2X-stem and 4X-stem samples; (<b>F</b>) fold changes of the DAAs in 2X-stem vs. 4X-stem; (<b>G</b>) comparison of the relative contents of the four important alkaloids between the 2X-stem and 4X-stem samples; (<b>H</b>) bubble plot showing enrichment pathways of the DAAs between the 2X-stem and 4X-stem samples. ** and *** indicate statistically significant differences determined by a student’s <span class="html-italic">t</span>-test between samples at <span class="html-italic">p</span> &lt; 0.01 and 0.001, respectively.</p>
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<p>Identification of differentially accumulated alkaloids (DAAs) between the 2X-stem and 4X-leaf samples. (<b>A</b>) Volcanic plot showing upregulated and downregulated alkaloids between the 2X-stem and 4X-leaf samples; (<b>B</b>) fold changes of the top DAAs in 2X-stem vs. 4X-leaf; (<b>C</b>) comparison of the relative contents of the four important alkaloids between the 2X-stem and 4X-leaf samples. ** and *** indicate statistically significant differences determined by a student’s <span class="html-italic">t</span>-test between samples at <span class="html-italic">p</span> &lt; 0.01 and 0.001, respectively.</p>
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<p>The correlation relationship among identified alkaloids. (<b>A</b>) The interaction networks of identified alkaloids. The correlation screening criteria are |<span class="html-italic">r</span>| &gt; 0.7 and <span class="html-italic">p</span> &lt; 0.05. The dashed red lines represent positive correlations, and the dashed blue lines represent negative correlations. (<b>B</b>) The local KEGG metabolic pathway (ko00950). The red dashed box contains two main alkaloids.</p>
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20 pages, 2919 KiB  
Article
Analysis of the Changes and Causes of Runoff and Sediment Load in the Middle Reaches of the Yellow River from 1950 to 2022
by Huanyong Liu, Yin Chen, Pengfei Du, Yangui Wang, Ying Zhao and Liqin Qu
Land 2024, 13(9), 1482; https://doi.org/10.3390/land13091482 - 13 Sep 2024
Viewed by 190
Abstract
Frequent soil erosion disasters in the middle reaches of the Yellow River (MRYR) have a profound effect on the sediment load of the river. This paper addresses the intertwined effects of human activities and climate change on river runoff and sediment load. Therefore, [...] Read more.
Frequent soil erosion disasters in the middle reaches of the Yellow River (MRYR) have a profound effect on the sediment load of the river. This paper addresses the intertwined effects of human activities and climate change on river runoff and sediment load. Therefore, runoff and sediment loads from hydrological stations along the main and tributary rivers within the MRYR were used. The Mann–Kendall (M–K) trend test and the double mass curve analysis, among other analytical tools, were used to examine the erosion patterns of these rivers from 1950 to 2022, as well as the main factors driving these changes. The results showed that the runoff depth of the Yan River tended to decrease, and there was a significant decrease in the mainstream and nine other tributaries, with a significant decrease in the sediment transport modulus for both the mainstream and tributaries. In the main river, human activities contributed between 69.99% and 94.69% to the runoff and between 88.52% and 98.49% to the sediment load, while in the tributaries, the contribution of human activities was greater. The annual runoff and annual sediment load in the MRYR showed a decreasing trend, with a discernible impact of human activities. The results of this research are of great significance for erosion control and the restoration of the ecological balance in the Yellow River Basin. Full article
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<p>The mainstream of the Yellow River and the hydrological stations at the MRYR: Longmen (LM), Tongguan (TG), Huangfu (HF), Wenjiachuan (WJC), Baijiachuan (BJC), Ganguyi (GGY), Zhangjiashan (ZJS), Zhuangtou (ZT), Huaxian (HX), Hejin (HJ), Heishiguan (HSG), and Wuzhi (WZ).</p>
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<p>M–K curves of runoff depth/sediment transport modulus at main and tributary major hydrological stations in MRYR: (<b>a</b>) LM, (<b>b</b>) TG, (<b>c</b>) Huangfu (Huangfuchuan River), (<b>d</b>) Wenjiachuan (Kuye River), (<b>e</b>) Baijiachuan (Wuding River), (<b>f</b>) Ganguyi (Yan River), (<b>g</b>) Zhangjiashan (Jing River), (<b>h</b>) Zhuangtou (Beiluo River), (<b>i</b>) Huaxian (Wei River), (<b>j</b>) Hejin (Fen River), (<b>k</b>) Heishiguan (Yiluo River), (<b>l</b>) Wuzhi (Qin River).</p>
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<p>Double cumulative curves of precipitation–runoff and precipitation–sediment loads in the MRYR mainstream. (<b>a</b>) Precipitation–runoff load; (<b>b</b>) precipitation–sediment load.</p>
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<p>Relationship between runoff and sediment load values and precipitation in the MRYR (Toudaoguai-TG). (<b>a</b>) Runoff depth; (<b>b</b>) sediment transport modulus.</p>
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<p>FVC variation levels in MRYR. (<b>a</b>)1981–2000 FVC rate of change; (<b>b</b>) 2001–2022 FVC rate of change.</p>
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<p>Sediment load at TG and cumulative storage capacity.</p>
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<p>Changes in water intake and consumption and the corresponding sediment load diversion volumes in the MRYR from 1998 to 2022.</p>
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18 pages, 1033 KiB  
Opinion
Mangrove-Based Carbon Market Projects: 15 Considerations for Engaging and Supporting Local Communities
by Daria Agnieszka Karpowicz, Midhun Mohan, Michael S. Watt, Jorge F. Montenegro, Shalini A. L. King, Pandi P. Selvam, Manickam Nithyanandan, Barakalla Robyn, Tarig Ali, Meshal M. Abdullah, Willie Doaemo and Ewane Basil Ewane
Diversity 2024, 16(9), 574; https://doi.org/10.3390/d16090574 - 12 Sep 2024
Viewed by 742
Abstract
Mangroves provide numerous ecological, social, and economic benefits that include carbon sequestration, habitat for biodiversity, food, recreation and leisure, income, and coastal resilience. In this regard, mangrove-based carbon market projects (MbCMP), involving mangrove conservation, protection, and restoration, are a nature-based solution (NbS) for [...] Read more.
Mangroves provide numerous ecological, social, and economic benefits that include carbon sequestration, habitat for biodiversity, food, recreation and leisure, income, and coastal resilience. In this regard, mangrove-based carbon market projects (MbCMP), involving mangrove conservation, protection, and restoration, are a nature-based solution (NbS) for climate change mitigation. Despite the proliferation of blue carbon projects, a highly publicized need for local community participation by developers, and existing project implementation standards, local communities are usually left out for several reasons, such as a lack of capacity to engage in business-to-business (B2B) market agreements and communication gaps. Local communities need to be engaged and supported at all stages of the MbCMP development process to enable them to protect their ecological, economic, and social interests as custodians of such a critical ecosystem. In this paper, we provided 15 strategic considerations and recommendations to engage and secure the interests of local communities in the growing mangrove carbon market trade. The 15 considerations are grouped into four recommendation categories: (i) project development and community engagement, (ii) capacity building and educational activities, (iii) transparency in resource allocation and distribution, and (iv) partnerships with local entities and long-term monitoring. We expect our study to increase local participation and community-level ecological, social, and economic benefits from MbCMP by incorporating equitable benefit-sharing mechanisms in a B2B conservation-agreement model. Full article
(This article belongs to the Special Issue Biodiversity and Conservation of Mangroves)
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<p>Recommendations and considerations for engaging and supporting local communities in mangrove-based carbon market projects.</p>
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17 pages, 3984 KiB  
Article
Utilizing Hydrophobic Sand to Construct an Air-Permeable Aquiclude to Enhance Rice Yield and Lodging Resistance
by Xiaoyan Ma, Jing Wu, Yuming Su, Shengyi Qin and Francesco Pilla
Agronomy 2024, 14(9), 2085; https://doi.org/10.3390/agronomy14092085 - 12 Sep 2024
Viewed by 390
Abstract
Global climate change and persistent droughts lead to soil desertification, posing significant challenges to food security. Desertified lands, characterized by high permeability, struggle to retain water, thereby hindering ecological restoration. Sand, a natural resource abundant in deserts, inspired our proposal to design hydrophobic [...] Read more.
Global climate change and persistent droughts lead to soil desertification, posing significant challenges to food security. Desertified lands, characterized by high permeability, struggle to retain water, thereby hindering ecological restoration. Sand, a natural resource abundant in deserts, inspired our proposal to design hydrophobic sand and construct Air-permeable Aquicludes (APAC) using this material. This approach aims to address issues related to the ecological restoration of desertified lands, food security, and the utilization of sand resources. Reclamation of desertified land and sandy areas can simultaneously address ecological restoration and ensure food security, with soil reconstruction being a critical step. This study investigated the effects of constructing an Air-permeable Aquiclude (APAC) using hydrophobic sand on rice yield and lodging resistance, using clay aquitard (CAT) and plastic aquiclude (PAC) as control groups. The APAC enhanced soil oxygen content, increased internode strength, and improved vascular bundle density, substantially reducing the lodging index and increasing yield. This research finds that the APAC (a) increased internode outer diameter, wall thickness, fresh weight, and filling degree; (b) enhanced the vascular bundle area by 11.11% to 27.66% and increased density; (c) reduced the lodging index by 37.54% to 36.93% (p < 0.01); and (d) increased yield to 8.09 t·hm−2, a rise of 12.05% to 14.59% (p < 0.05), showing a negative correlation with lodging index. These findings suggest that APAC has very good potential for desertified land reclamation and food security. In conclusion, the incorporation of hydrophobic sand in APAC construction considerably strengthens rice stem lodging resistance and increases yield, demonstrating considerable application potential for the reclamation of desertified and sandy land and ensuring food security. Full article
(This article belongs to the Special Issue Transforming AgriFood Systems under a Changing Climate)
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<p>Temperature and precipitation measurements during the rice-growing season in Miyun District, Beijing, China.</p>
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<p>Schematic diagram of the plow pans structure of the paddy field.</p>
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<p>Experimental design for simulation test of rice field oxygen content. Tube A: simulating APAC; Tube B: simulating APC.</p>
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<p>Cross-section and area measurement of the internode N<sub>3</sub> at the base. (<b>a</b>) Illustration of the cross-section in the middle of the third internode at the base; (<b>b</b>) Illustration of the measurement content using Image J software.</p>
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<p>Comparison of reoxygenation rates of water bodies A and B, as shown in <a href="#agronomy-14-02085-f003" class="html-fig">Figure 3</a>. (<b>a</b>) represents the point at 30 cm, and (<b>b</b>) represents the average of three points.</p>
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<p>Correlation analysis between rice lodging characteristics and morphological indicators of the internode N<sub>3</sub>. (*, significant difference at the 0.05 level).</p>
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<p>Microstructure diagram of the internode N<sub>3</sub>.</p>
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<p>Effects of different aquicludes on the CSA, SWA, and MCA of the internode N<sub>3</sub>. (N<sub>3</sub>, the third internode. Different letters represent significant differences at the 0.05 level. Different letters (a, b, and ab) represent significant differences at the 0.05 level).</p>
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<p>Effects of different aquicludes on configuration of rice internodes and plant height. (N<sub>1</sub>, the first internode; N<sub>2</sub>, the second internode; N<sub>3</sub>, the third internode; N<sub>4</sub>, the fourth internode; N<sub>5</sub>, the fifth internode. Different letters (a, b, and ab) represent significant differences at the 0.05 level).</p>
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<p>Plant heights change with time under different aquicludes.</p>
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<p>The relationship of lodging index with plant height (<b>a</b>) and grain yield (<b>b</b>). Data were pooled from research conducted by the APAC, PAC, and CAT during yellow maturity stage. ns, not significant at the 0.05 probability level; **, significant at the 0.01 probability level.</p>
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15 pages, 2892 KiB  
Review
Exploring the Factors Affecting Terrestrial Soil Respiration in Global Warming Manipulation Experiments Based on Meta-Analysis
by Xue Chen, Haibo Hu, Qi Wang, Xia Wang and Bing Ma
Agriculture 2024, 14(9), 1581; https://doi.org/10.3390/agriculture14091581 - 11 Sep 2024
Viewed by 370
Abstract
Warming significantly impacts soil respiration in terrestrial ecosystems, thereby altering global carbon cycle processes. Numerous field experiments have investigated the effects of warming on soil respiration (Rs), but the results have been inconsistent due to various factors such as ecosystem type, soil warming [...] Read more.
Warming significantly impacts soil respiration in terrestrial ecosystems, thereby altering global carbon cycle processes. Numerous field experiments have investigated the effects of warming on soil respiration (Rs), but the results have been inconsistent due to various factors such as ecosystem type, soil warming amplitude, duration, and environmental conditions. In this study, we conducted a meta-analysis of 1339 cases from 70 studies in terrestrial ecosystems to evaluate the response of Rs, heterotrophic respiration (Rh), and autotrophic respiration (Ra) to global warming. The results indicated that Rs, Rh, and Ra increased by 13.88%, 15.03%, and 19.72%, respectively, with a significant rise observed across different ecosystems. Generally, Rs increased with rising temperatures within a specific range (0–4 °C), whereas higher temperatures (>4 °C) did not significantly affect Rs. Moreover, Rs, Rh, and Ra exhibited an initial increase followed by a decrease with prolonged duration, indicating an adaptive response to climate warming. Additionally, Rs and Rh exhibit significant seasonal variations, with levels in winter being markedly higher than in summer. Furthermore, environmental factors exerted direct or indirect effects on soil respiration components. The factors’ importance for Rs was ranked as microbial biomass carbon (MBC) > mean annual temperature (MAT) > mean annual precipitation (MAP), for Rh as soil organic carbon (SOC) > MBC > MAT > MAP, and for Ra as belowground biomass (BGB) > aboveground biomass (AGB) > SOC. Future research should focus on the interactions among explanatory factors to elucidate the response mechanisms of soil respiration under global warming conditions. Full article
(This article belongs to the Section Ecosystem, Environment and Climate Change in Agriculture)
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<p>Global distribution of soil respiration experiments used in this analysis.</p>
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<p>Responses of Rs, Rh, and Ra to the top-down effects of global warming. Effect sizes (log response ratio) and 95% confidence intervals (CI) for each sample are given in order. lnRR = 0, dashed blue line.</p>
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<p>Orchard plot showing number of cases, <span class="html-italic">p</span>-values, mean estimate, confidence interval, and individual effect sizes and their precision (inverse variance) of soil respiration (Rs, (<b>a</b>)), heterotrophic respiration (Rh, (<b>b</b>)), and autotrophic respiration (Ra, (<b>c</b>)) in different ecosystems. lnRR = 0, dashed blue line.</p>
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<p>Orchard plot showing number of cases, <span class="html-italic">p</span>-values, mean estimate, confidence interval, and individual effect sizes and their precision (inverse variance) of soil respiration (Rs, (<b>a</b>,<b>d</b>,<b>g</b>)), heterotrophic respiration (Rh, (<b>b</b>,<b>e</b>,<b>h</b>)), and autotrophic respiration (Ra, (<b>c</b>,<b>f</b>,<b>i</b>)) in different warming amplitude, warming duration, and warming season. lnRR = 0, dashed blue line.</p>
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<p>Relationships between soil respiration (Rs, (<b>a</b>,<b>d</b>)), heterotrophic respiration (Rh, (<b>b</b>,<b>e</b>)), and autotrophic respiration (Ra, (<b>c</b>,<b>f</b>)) responses to climate warming treatment for mean annual temperature (MAT) and mean annual precipitation (MAP).</p>
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<p>The response of Rs, Rh, and Ra to experimental warming with the changes of plant carbon pool and soil properties. * indicates statistical significance (<span class="html-italic">p</span> &lt; 0.05). Numbers indicate the effect size (percentage change).</p>
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<p>The importance of the factors of significance (<span class="html-italic">p</span> &lt; 0.05) for Rs, Rh, and Ra.</p>
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16 pages, 2248 KiB  
Article
Soil Quality Evaluation and Analysis of Driving Factors of Pinus tabuliformis in Loess Hilly Areas
by Junzhe Li, Fangfang Qiang, Ning Ai, Changhai Liu, Guangquan Liu, Menghuan Zou, Qianwen Ren and Minglu Liu
Forests 2024, 15(9), 1603; https://doi.org/10.3390/f15091603 - 11 Sep 2024
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Abstract
The selection of suitable tree species and the reasonable allocation of planting areas are important measures for improving soil quality. To evaluate the soil quality (SQ) and its driving factors of Pinus tabuliformis forests in loess hilly areas where forestry ecological projects, such [...] Read more.
The selection of suitable tree species and the reasonable allocation of planting areas are important measures for improving soil quality. To evaluate the soil quality (SQ) and its driving factors of Pinus tabuliformis forests in loess hilly areas where forestry ecological projects, such as returning farmland to forest (grass), have been implemented, this study selected P. tabuliformis forests with different restoration years (1a, 6a, 11a, 18a, and 22a) in Wuqi County and used grassland before afforestation (PRG) and abandoned grassland (AG) with 22 years as controls. In this study, soil physicochemical indices, soil fauna indices, and herbaceous plant indices obtained via principal component analysis were used to establish a soil quality evaluation model via the fuzzy comprehensive evaluation method to comprehensively evaluate SQ. Structural equation modeling (SEM) was used to identify the key factors affecting the SQ of P. tabuliformis forests. The goal was to create a model that could effectively evaluate the SQ while considering all relevant factors. The findings of the study showed that: (1) by performing a principal component analysis on the 27 indicator factors, the first six principal components had eigenvalues > 1, and the cumulative contribution rate was 90.028%, effectively encompassing the information of the original variables. (2) The highest soil quality index (SQI) was 0.592 (p < 0.05) in the restored 6a P. tabuliformis forest, whereas the lowest SQI was 0.323 in the restored 1a P. tabuliformis forest. As the number of years of restoration increased, the SQ of the P. tabuliformis plantation forest progressively approached that of the long-term abandoned grassland, with only a 1.8% difference after 22 years of restoration. The SQI of the P. tabuliformis woodland in restored 6a was 83% higher than that of 1a, and following 6a of restoration, the SQI showed a decreasing trend with increasing restoration years. Nevertheless, the SQI increased by >52% compared with the early stage of restoration (1a) and by 31% compared with the grassland before afforestation (PRG). (3) SEM revealed that the SQ of P. tabuliformis forest land was mainly driven by soil physical and herbaceous plant indicators, and soil fauna indicators and restoration years had a negative effect on the evolution of SQ in P. tabuliformis forests. The driving factors of P. tabuliformis forests of different restoration years were different, and with the increase in restoration years, the effects of soil fauna and herbaceous plant indicators on the SQ of P. tabuliformis plantation forests showed an overall upward trend. Full article
(This article belongs to the Special Issue Soil Organic Carbon and Nutrient Cycling in the Forest Ecosystems)
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Figure 1

Figure 1
<p>Sample plot map.</p>
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<p>Radar chart of soil indicator membership degree for <span class="html-italic">P. tabulaeformis</span> forests with different planting years.</p>
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<p>SQI for different planting years, different letters indicate significant differences (<span class="html-italic">p</span> ≤ 0.05). Different horizontal coordinates represent different research areas. PT: <span class="html-italic">P. tabuliformis</span>.</p>
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<p>Effects of different main control factors on the SQI. (<b>A</b>) represents abandoned grassland, (<b>G</b>) represents pre reforestation grassland, (<b>B</b>–<b>F</b>) represents <span class="html-italic">P. tabulaeformis</span> planted for 1, 6, 11, 18, and 22 years, and (<b>H</b>) represents the overall <span class="html-italic">P. tabulaeformis</span>. Red arrows indicate negative effects and green arrows represent positive effects. Numbers adjacent to arrows are path coefficients (<span class="html-italic">p</span>-values) indicating the effect size of the relationship. *** represents a significant correlation at the 0.001 level, ** represents a significant correlation at the 0.01 level, and * represents a significant correlation at the 0.05 level. Note: physical indicators: PI; chemical indicators: CI; soil biological indicators: SBI; herbal biological indicators: HBI; and restoration years: RY.</p>
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