The study focuses on the intricate dynamic of agricultural value-added, water reservoir management, and food security in the United States between 1980 and 2021. The importance of agricultural value-added in food security is examined in this study, which adds to the current literature. Furthermore, the study examines how food security is impacted by economic growth, land use, innovation, and efficient water management. According to the findings, the enhancement of food security is significant due to increased agricultural productivity, driven by value-added practices, and robust water reservoir management. The study demonstrates the connection between economic growth and better food security, emphasizing the significance of sustainable economic policies. Efficient land use and technological innovations in agriculture can be used to ensure food supply stability. The research has revealed that water reservoirs have a moderating effect, demonstrating their significance in sustaining agricultural productivity and value-added activities. These insights are crucial for policymakers and practitioners, suggesting that a holistic approach, integrating economic, agricultural, and environmental strategies, is essential for addressing the multifaceted challenges of food security in the United States. A contemporary perspective is provided through the study's time frame, reflecting recent trends and policy implications in food security.
{"title":"Consequences of Land Utilization, Agriculture and Water to Handle the Food Security Issues","authors":"Suleman Sarwar","doi":"10.1002/ldr.5475","DOIUrl":"https://doi.org/10.1002/ldr.5475","url":null,"abstract":"The study focuses on the intricate dynamic of agricultural value-added, water reservoir management, and food security in the United States between 1980 and 2021. The importance of agricultural value-added in food security is examined in this study, which adds to the current literature. Furthermore, the study examines how food security is impacted by economic growth, land use, innovation, and efficient water management. According to the findings, the enhancement of food security is significant due to increased agricultural productivity, driven by value-added practices, and robust water reservoir management. The study demonstrates the connection between economic growth and better food security, emphasizing the significance of sustainable economic policies. Efficient land use and technological innovations in agriculture can be used to ensure food supply stability. The research has revealed that water reservoirs have a moderating effect, demonstrating their significance in sustaining agricultural productivity and value-added activities. These insights are crucial for policymakers and practitioners, suggesting that a holistic approach, integrating economic, agricultural, and environmental strategies, is essential for addressing the multifaceted challenges of food security in the United States. A contemporary perspective is provided through the study's time frame, reflecting recent trends and policy implications in food security.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"45 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142987898","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shiyu Fan, Jihong Qin, Hui Sun, Zhenchu Dan, Zhi Li, Jiyuan Yang
Alpine wetlands on the Tibetan Plateau are important carbon pools and are undergoing severe degradation, generally with decreasing vegetation and soil water contents. However, the ecological responses of alpine wetlands to hydrological changes vary greatly among habitats. In this study, topsoil from alpine wetlands and meadows (degraded wetlands) was incubated under 50%, 70%, and 100% saturated water content (SWC) and then characterized based on soil nutrients, enzyme activities, the molecular composition of dissolved organic matter (metabolomes), and microbial communities (metagenomes). Compared with meadow soils, wetland soils had greater nutrient contents and hydrolase activities and more complex compositions of metabolomes and metabolomes. After incubation, wetland soils presented the highest activities of all enzymes under 70% SWC, whereas meadow soils presented the highest activities of β-glucosidase and acid phosphatase under 50% SWC, both together with the lowest dissolved organic carbon content and the highest dissolved phosphorus content. Drought increased the number of microbial species in wetland soils but decreased that in meadow soils. The Shannon and Pielou indices were highest under 100% SWC (in wetlands) or 70% SWC (in meadows) and lowest under 50% SWC (in both soils) and were significantly positively correlated with acid phosphatase activity in wetland soils. Distance-based redundancy analysis revealed the important role of peroxidase in alpine wetlands. Procrustes analysis further indicated the different drought-induced ecological responses in two alpine soils. This study deepens our understanding of the soil-type-related ecological responses in alpine ecosystems and provides a valuable reference for the application of emerging multiomics techniques.
{"title":"Different Responses of Soil Nutrient Dynamics and Microbial Activities to Soil Moisture Changes in Alpine Wetlands and Meadows on the Tibetan Plateau","authors":"Shiyu Fan, Jihong Qin, Hui Sun, Zhenchu Dan, Zhi Li, Jiyuan Yang","doi":"10.1002/ldr.5472","DOIUrl":"https://doi.org/10.1002/ldr.5472","url":null,"abstract":"Alpine wetlands on the Tibetan Plateau are important carbon pools and are undergoing severe degradation, generally with decreasing vegetation and soil water contents. However, the ecological responses of alpine wetlands to hydrological changes vary greatly among habitats. In this study, topsoil from alpine wetlands and meadows (degraded wetlands) was incubated under 50%, 70%, and 100% saturated water content (SWC) and then characterized based on soil nutrients, enzyme activities, the molecular composition of dissolved organic matter (metabolomes), and microbial communities (metagenomes). Compared with meadow soils, wetland soils had greater nutrient contents and hydrolase activities and more complex compositions of metabolomes and metabolomes. After incubation, wetland soils presented the highest activities of all enzymes under 70% SWC, whereas meadow soils presented the highest activities of β-glucosidase and acid phosphatase under 50% SWC, both together with the lowest dissolved organic carbon content and the highest dissolved phosphorus content. Drought increased the number of microbial species in wetland soils but decreased that in meadow soils. The Shannon and Pielou indices were highest under 100% SWC (in wetlands) or 70% SWC (in meadows) and lowest under 50% SWC (in both soils) and were significantly positively correlated with acid phosphatase activity in wetland soils. Distance-based redundancy analysis revealed the important role of peroxidase in alpine wetlands. Procrustes analysis further indicated the different drought-induced ecological responses in two alpine soils. This study deepens our understanding of the soil-type-related ecological responses in alpine ecosystems and provides a valuable reference for the application of emerging multiomics techniques.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"21 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142987137","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xavier G. H. Koenig, Prakash N. K. Deenapanray, Jean‐Louis Weber, Solofo Rakotondraompiana, Tony Arison Ramihangihajason
The cover image is based on the article Are Neutrality Targets Alone Sufficient for Protecting Nature? Learning From Land Cover Change and Land Degradation Neutrality Targets in Mauritius by Xavier Koenig et al., https://doi.org/10.1002/ldr.5359. image
{"title":"Featured Front Cover","authors":"Xavier G. H. Koenig, Prakash N. K. Deenapanray, Jean‐Louis Weber, Solofo Rakotondraompiana, Tony Arison Ramihangihajason","doi":"10.1002/ldr.5480","DOIUrl":"https://doi.org/10.1002/ldr.5480","url":null,"abstract":"The cover image is based on the article <jats:italic>Are Neutrality Targets Alone Sufficient for Protecting Nature? Learning From Land Cover Change and Land Degradation Neutrality Targets in Mauritius</jats:italic> by Xavier Koenig et al., <jats:ext-link xmlns:xlink=\"http://www.w3.org/1999/xlink\" xlink:href=\"https://doi.org/10.1002/ldr.5359\">https://doi.org/10.1002/ldr.5359</jats:ext-link>. <jats:boxed-text content-type=\"graphic\" position=\"anchor\"><jats:graphic xmlns:xlink=\"http://www.w3.org/1999/xlink\" mimetype=\"image/png\" position=\"anchor\" specific-use=\"enlarged-web-image\" xlink:href=\"graphic/ldr5480-gra-0001-m.png\"><jats:alt-text>image</jats:alt-text></jats:graphic></jats:boxed-text>","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"28 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142981700","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zeeshan Khan, Ramez Abubakr Badeeb, Sher Ali, Yuriy Bilan, Sebastian Majewski
Land productivity including both water and agriculture are equally important for sustainable environment. The study investigate the role of water productivity and agriculture land along with the non‐linear effect of green finance on environment. Specifically, this research aims to investigate the effect of agriculture land, water productivity, green finance, environmental taxes and technologies on environmental sustainability in the Group of Seven (G7) countries, covering the timeframe of 1990–2020. The study also scrutinized the effect of green innovation and environmental regulations on the environment. This study uses novel panel data methods that are robust to nonparametric data. The empirical data are confirmed to be nonnormally distributed; therefore, the quantile regression approach is used. The empirical results confirmed an inverted U‐shaped curve for green finance, as its linear term is positive, and its nonlinear term negatively impacts carbon emissions. This supports the idea that green finance is effective for a group of seven economies; however, its magnitude should increase. Moreover, agricultural land, water productivity, environmental regulations, and green innovation negatively impact carbon emissions. By contrast, increasing economic activities, such as gross domestic product, increase carbon emissions. This study recommends increasing the focus on green finance, agricultural land, water productivity, and environmental regulations for the G7 countries to achieve the target of COP 27 and address climate change.
{"title":"Land productivity and environmental sustainability for G7 economies: Does an inverted U‐shaped curve exhibit green finance?","authors":"Zeeshan Khan, Ramez Abubakr Badeeb, Sher Ali, Yuriy Bilan, Sebastian Majewski","doi":"10.1002/ldr.5251","DOIUrl":"https://doi.org/10.1002/ldr.5251","url":null,"abstract":"Land productivity including both water and agriculture are equally important for sustainable environment. The study investigate the role of water productivity and agriculture land along with the non‐linear effect of green finance on environment. Specifically, this research aims to investigate the effect of agriculture land, water productivity, green finance, environmental taxes and technologies on environmental sustainability in the Group of Seven (G7) countries, covering the timeframe of 1990–2020. The study also scrutinized the effect of green innovation and environmental regulations on the environment. This study uses novel panel data methods that are robust to nonparametric data. The empirical data are confirmed to be nonnormally distributed; therefore, the quantile regression approach is used. The empirical results confirmed an inverted U‐shaped curve for green finance, as its linear term is positive, and its nonlinear term negatively impacts carbon emissions. This supports the idea that green finance is effective for a group of seven economies; however, its magnitude should increase. Moreover, agricultural land, water productivity, environmental regulations, and green innovation negatively impact carbon emissions. By contrast, increasing economic activities, such as gross domestic product, increase carbon emissions. This study recommends increasing the focus on green finance, agricultural land, water productivity, and environmental regulations for the G7 countries to achieve the target of COP 27 and address climate change.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"14 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142974618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nitrogen deposition can alter the interactions between litter types during their decomposition, and thus affect material cycling and ecosystem stability. However, it is unclear how the differences in the initial chemical properties of litter mixtures affect their response to nitrogen deposition. In this study, we investigated three litter mixtures: high quality–high quality (Robinia pseudoacacia–Stipa grandis, Rp‐Sg, mixed form F1), high quality–low quality (Rp–Setaria viridis, Rp‐Sv, F2), and low quality–low quality (Artemisia gmelinii–Sv, Ag‐Sv, F3). Each of the litter types can be found in Rp plantations in the Loess Hilly Region, China. We subjected the litter mixtures to nitrogen deposition treatments (0 and 4–12 g·m−2·a−1) in a 326‐day indoor decomposition experiment. Decomposition parameters of each litter type in monospecific and mixed decomposition were compared to investigate the interactions between litter types under nitrogen deposition. The results indicated that, in the early stage of mixed decomposition, litter types of similar substrate quality did not affect the decomposition of each other (i.e., in the F1 and F3 mixtures). In contrast, the decomposition of low‐quality litter (Sv) was accelerated by that of high‐quality litter (Rp) when there was no nitrogen deposition. The overall degree of the mutual effects (Rinter,t) for the litter decomposition rate in F1, which has an overall higher quality, increased and then decreased with increasing nitrogen deposition; whereas the Rinter,t for the litter decomposition rate in F2 and F3, which have an overall poor quality (p < 0.05), increased continuously. In general, nitrogen deposition increased the interactions between litter types during the early stage of mixed decomposition. Given that most interactions were synergistic, this effect of nitrogen deposition may alleviate its inhibitory effects on litter decomposition in the study region.
{"title":"Nitrogen Deposition Enhances Interactions Between Litter Types During the Early Stage of Decomposition","authors":"Jiahao Li, Yuxin Dong, Kaixuan Liu, Lingsu Chen, Xiaoxi Zhang, Yangfei Zhang, Enxiu Yang, Lihong Wei","doi":"10.1002/ldr.5470","DOIUrl":"https://doi.org/10.1002/ldr.5470","url":null,"abstract":"Nitrogen deposition can alter the interactions between litter types during their decomposition, and thus affect material cycling and ecosystem stability. However, it is unclear how the differences in the initial chemical properties of litter mixtures affect their response to nitrogen deposition. In this study, we investigated three litter mixtures: high quality–high quality (<jats:styled-content style=\"fixed-case\"><jats:italic>Robinia pseudoacacia</jats:italic></jats:styled-content>–<jats:styled-content style=\"fixed-case\"><jats:italic>Stipa grandis</jats:italic></jats:styled-content>, Rp‐Sg, mixed form F1), high quality–low quality (Rp–<jats:styled-content style=\"fixed-case\"><jats:italic>Setaria viridis</jats:italic></jats:styled-content>, Rp‐Sv, F2), and low quality–low quality (<jats:styled-content style=\"fixed-case\"><jats:italic>Artemisia gmelinii</jats:italic></jats:styled-content>–Sv, Ag‐Sv, F3). Each of the litter types can be found in Rp plantations in the Loess Hilly Region, China. We subjected the litter mixtures to nitrogen deposition treatments (0 and 4–12 g·m<jats:sup>−2</jats:sup>·a<jats:sup>−1</jats:sup>) in a 326‐day indoor decomposition experiment. Decomposition parameters of each litter type in monospecific and mixed decomposition were compared to investigate the interactions between litter types under nitrogen deposition. The results indicated that, in the early stage of mixed decomposition, litter types of similar substrate quality did not affect the decomposition of each other (i.e., in the F1 and F3 mixtures). In contrast, the decomposition of low‐quality litter (Sv) was accelerated by that of high‐quality litter (Rp) when there was no nitrogen deposition. The overall degree of the mutual effects (<jats:italic>R</jats:italic><jats:sub>inter,t</jats:sub>) for the litter decomposition rate in F1, which has an overall higher quality, increased and then decreased with increasing nitrogen deposition; whereas the <jats:italic>R</jats:italic><jats:sub>inter,t</jats:sub> for the litter decomposition rate in F2 and F3, which have an overall poor quality (<jats:italic>p</jats:italic> < 0.05), increased continuously. In general, nitrogen deposition increased the interactions between litter types during the early stage of mixed decomposition. Given that most interactions were synergistic, this effect of nitrogen deposition may alleviate its inhibitory effects on litter decomposition in the study region.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"53 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142974619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lan Liu, Zhaochen Zhang, Meng Wang, Xin Wang, Ran Zhang, Junxiang Li, Jian Zhang
Urbanization is known to cause biotic homogenization, but the processes controlling biotic homogenization are not well understood. Here, we analyzed microbial communities from 258 soil samples covering the large landscape heterogeneity of the entire Shanghai megacity. We measured the urbanization intensity by incorporating habitat fragmentation, connectivity, and distance to the city center. We determined the extent to which bacterial and fungal community composition varied with urbanization intensity and how different assembly processes contributed to the variations. We found significantly positive effects of urbanization on the compositional homogenization of bacteria and fungi, and the proportions of generalists and specialists were significantly related to homogenization. Dispersal and ecological drift explained at least 60% of bacterial and fungal compositional variations, with increased influences of dispersal and ecological drift reducing the specialists. Environmental variables explained < 28% of compositional variations, and higher urbanization intensity led to a simplified co‐occurrence network and an increased proportion of generalists in the network. These results indicate that dispersal and ecological drift homogenized soil microbial communities in the city by shifting the proportions of generalist and specialist microbes, with weak effects from environmental selection. Therefore, to conserve urban biodiversity and ecosystem functioning in the face of complex human impacts, management strategies should consider not only environmental conditions but also influences of dispersal and drift, as well as species habitat preferences, to increase the effectiveness of management actions.
{"title":"Assembly Processes Underlying Biotic Homogenization of Soil Microbial Communities in an Urban Ecosystem","authors":"Lan Liu, Zhaochen Zhang, Meng Wang, Xin Wang, Ran Zhang, Junxiang Li, Jian Zhang","doi":"10.1002/ldr.5471","DOIUrl":"https://doi.org/10.1002/ldr.5471","url":null,"abstract":"Urbanization is known to cause biotic homogenization, but the processes controlling biotic homogenization are not well understood. Here, we analyzed microbial communities from 258 soil samples covering the large landscape heterogeneity of the entire Shanghai megacity. We measured the urbanization intensity by incorporating habitat fragmentation, connectivity, and distance to the city center. We determined the extent to which bacterial and fungal community composition varied with urbanization intensity and how different assembly processes contributed to the variations. We found significantly positive effects of urbanization on the compositional homogenization of bacteria and fungi, and the proportions of generalists and specialists were significantly related to homogenization. Dispersal and ecological drift explained at least 60% of bacterial and fungal compositional variations, with increased influences of dispersal and ecological drift reducing the specialists. Environmental variables explained < 28% of compositional variations, and higher urbanization intensity led to a simplified co‐occurrence network and an increased proportion of generalists in the network. These results indicate that dispersal and ecological drift homogenized soil microbial communities in the city by shifting the proportions of generalist and specialist microbes, with weak effects from environmental selection. Therefore, to conserve urban biodiversity and ecosystem functioning in the face of complex human impacts, management strategies should consider not only environmental conditions but also influences of dispersal and drift, as well as species habitat preferences, to increase the effectiveness of management actions.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"16 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142974607","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lihong Lu, Fuping Zeng, Zhaoxia Zeng, Hu Du, Chen Zhang, Hao Zhang
As the climax community of karst in southwest China without human disturbance, the mechanisms through which biodiversity maintains ecosystem multifunctionality (EMF) in evergreen and deciduous broad‐leaved mixed forest are still unclear. This study employed structural equation modeling to analyze the correlations between EMF and three key variables: plant diversity, soil microbial diversity, and rock exposure ratio within this karst forest. Plant and soil microbial diversity were the main biotic drivers of EMF. Within these biotic factors, soil microbial diversity provided a preferable explanation for EMF compared to plant diversity, with fungal diversity and the co‐occurrence network complexity playing dominant roles. Functional, species, and phylogenetic diversity indices of plant explain the changes in EMF better than the community‐weighted mean of traits, indicating that the niche complementarity hypothesis holds greater relevance in explaining the biodiversity‐maintenance mechanism of EMF. Moreover, the rock exposure ratio directly affects EMF as well as indirectly through plant diversity. Collectively, soil microbial diversity, plant diversity, and rock exposure ratio account for 87% of the variability in EMF. Specifically, plant diversity, fungal diversity, and its co‐occurrence network complexity exerted a positive and direct impact on EMF, while bacterial diversity mainly affected EMF by positively contributing to fungal co‐occurrence network complexity. These findings emphasized the significance of comprehensive protection of aboveground and underground biodiversity and have strengthened our comprehension of the biodiversity‐maintenance mechanisms of EMF in karst forests.
{"title":"Biodiversity and Rock Exposure Ratio Jointly Affected the Ecosystem Multifunctionality of Karst Evergreen and Deciduous Broad‐Leaved Mixed Forest","authors":"Lihong Lu, Fuping Zeng, Zhaoxia Zeng, Hu Du, Chen Zhang, Hao Zhang","doi":"10.1002/ldr.5452","DOIUrl":"https://doi.org/10.1002/ldr.5452","url":null,"abstract":"As the climax community of karst in southwest China without human disturbance, the mechanisms through which biodiversity maintains ecosystem multifunctionality (EMF) in evergreen and deciduous broad‐leaved mixed forest are still unclear. This study employed structural equation modeling to analyze the correlations between EMF and three key variables: plant diversity, soil microbial diversity, and rock exposure ratio within this karst forest. Plant and soil microbial diversity were the main biotic drivers of EMF. Within these biotic factors, soil microbial diversity provided a preferable explanation for EMF compared to plant diversity, with fungal diversity and the co‐occurrence network complexity playing dominant roles. Functional, species, and phylogenetic diversity indices of plant explain the changes in EMF better than the community‐weighted mean of traits, indicating that the niche complementarity hypothesis holds greater relevance in explaining the biodiversity‐maintenance mechanism of EMF. Moreover, the rock exposure ratio directly affects EMF as well as indirectly through plant diversity. Collectively, soil microbial diversity, plant diversity, and rock exposure ratio account for 87% of the variability in EMF. Specifically, plant diversity, fungal diversity, and its co‐occurrence network complexity exerted a positive and direct impact on EMF, while bacterial diversity mainly affected EMF by positively contributing to fungal co‐occurrence network complexity. These findings emphasized the significance of comprehensive protection of aboveground and underground biodiversity and have strengthened our comprehension of the biodiversity‐maintenance mechanisms of EMF in karst forests.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"25 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142974529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xinhua Tang, Majie Zhuo, Mecuo Zhou, Shengmei Guo, Chunshan Gong, Jun Wang, Hao Yang
Understanding the link between landscape pattern and water conservation service (WCS) is crucial for effective water resource conservation and landscape planning. However, the impact of landscape configuration on WCS remains unclear. This study explored the spatiotemporal relationships between WCS and landscape pattern in the Zoige Plateau (ZP), a vital waterhead of the yellow river, from 1990 to 2020. The results showed that woodland and high‐coverage grassland exhibited the highest WCS capacity and contributed the greatest to total WCS, suggesting the importance of protecting coverage and area of woodland and grassland. From 1990 to 2020, the areas of high‐ and medium‐coverage grasslands significantly decreased, implying adverse effects of landscape composition changes on ZP's WCS during the past few decades. The effects of landscape configuration metrics on WCS exhibited significant variability across years, climate scenarios and regions, highlighting the significant role of climatic and underlying surface. Under realistic climatic scenarios, for greater WCS, in most parts of the western and northern ZP, which negatively correlated with aggregation index, patch density, and mean fractal dimension index but positively correlated with shannon's diversity index, it is better to increase the proportion of large patches, reduce landscape fragmentation, and maintain diverse patch types. Conversely, in southeastern part of the central ZP, where WCS showed an opposite correlation with the aforementioned metrics, maintaining simpler patch type diversity and higher landscape connectivity may be useful. These findings provided important insights for identifying sensitive areas where landscape pattern changes affect WCS and optimizing landscapes to sustain ZP's WCS.
{"title":"Spatiotemporal Response Relationships Between Changes in Water Conservation Service and Landscape Pattern in Zoige Plateau, China","authors":"Xinhua Tang, Majie Zhuo, Mecuo Zhou, Shengmei Guo, Chunshan Gong, Jun Wang, Hao Yang","doi":"10.1002/ldr.5453","DOIUrl":"https://doi.org/10.1002/ldr.5453","url":null,"abstract":"Understanding the link between landscape pattern and water conservation service (WCS) is crucial for effective water resource conservation and landscape planning. However, the impact of landscape configuration on WCS remains unclear. This study explored the spatiotemporal relationships between WCS and landscape pattern in the Zoige Plateau (ZP), a vital waterhead of the yellow river, from 1990 to 2020. The results showed that woodland and high‐coverage grassland exhibited the highest WCS capacity and contributed the greatest to total WCS, suggesting the importance of protecting coverage and area of woodland and grassland. From 1990 to 2020, the areas of high‐ and medium‐coverage grasslands significantly decreased, implying adverse effects of landscape composition changes on ZP's WCS during the past few decades. The effects of landscape configuration metrics on WCS exhibited significant variability across years, climate scenarios and regions, highlighting the significant role of climatic and underlying surface. Under realistic climatic scenarios, for greater WCS, in most parts of the western and northern ZP, which negatively correlated with aggregation index, patch density, and mean fractal dimension index but positively correlated with shannon's diversity index, it is better to increase the proportion of large patches, reduce landscape fragmentation, and maintain diverse patch types. Conversely, in southeastern part of the central ZP, where WCS showed an opposite correlation with the aforementioned metrics, maintaining simpler patch type diversity and higher landscape connectivity may be useful. These findings provided important insights for identifying sensitive areas where landscape pattern changes affect WCS and optimizing landscapes to sustain ZP's WCS.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"84 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142974610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Effectively quantifying plantation forest fragmentation is crucial for vegetation restoration and management on the Loess Plateau. Forest area density (FAD) effectively measures fragmentation, with multiscale sensitivity analysis essential for determining the appropriate window scale threshold. This study uses plantation forest data from different geomorphological types (hilly gully and plateau gully region) of the Loess Plateau. Various window sizes are applied to evaluate the FAD threshold curve and its derivative for determining a stable fragmentation threshold, while a structural equation model is employed to analyze the drivers of forest fragmentation. The results are as follows: (1) FAD variability decreases with increasing window size, leveling off after reaching the threshold. (2) Thresholds vary by forest type and county. (3) Two principal components explain 81.27% of the window stabilization threshold variation, with strong correlations between similar fragmentation types. (4) Fragmentation slowed between 2000 and 2022, with hilly gully region more fragmented than plateau gully region. (5) Stand structure mitigates fragmentation, with topographic and climate change influences showing heterogeneity. “Core” maintain stability, while “Islet” drive fragmentation. This study emphasizes the importance of scale‐specific analysis and adaptive management strategies in mitigating forest fragmentation. This study supports optimizing ecological restoration and targeted conservation strategies, promoting sustainable forest management on the Loess Plateau.
{"title":"Multiscale Sensitivity Analysis of Landscape Fragmentation in Plantation Forests on the Loess Plateau","authors":"Mei Zhang, Peng Liu, Ke Liu, Zhong Zhao","doi":"10.1002/ldr.5469","DOIUrl":"https://doi.org/10.1002/ldr.5469","url":null,"abstract":"Effectively quantifying plantation forest fragmentation is crucial for vegetation restoration and management on the Loess Plateau. Forest area density (FAD) effectively measures fragmentation, with multiscale sensitivity analysis essential for determining the appropriate window scale threshold. This study uses plantation forest data from different geomorphological types (hilly gully and plateau gully region) of the Loess Plateau. Various window sizes are applied to evaluate the FAD threshold curve and its derivative for determining a stable fragmentation threshold, while a structural equation model is employed to analyze the drivers of forest fragmentation. The results are as follows: (1) FAD variability decreases with increasing window size, leveling off after reaching the threshold. (2) Thresholds vary by forest type and county. (3) Two principal components explain 81.27% of the window stabilization threshold variation, with strong correlations between similar fragmentation types. (4) Fragmentation slowed between 2000 and 2022, with hilly gully region more fragmented than plateau gully region. (5) Stand structure mitigates fragmentation, with topographic and climate change influences showing heterogeneity. “Core” maintain stability, while “Islet” drive fragmentation. This study emphasizes the importance of scale‐specific analysis and adaptive management strategies in mitigating forest fragmentation. This study supports optimizing ecological restoration and targeted conservation strategies, promoting sustainable forest management on the Loess Plateau.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"26 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142975086","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shouhao Zhang, Lei Sun, Abdul Hakim Jamshidi, Yong Niu, Zhaofei Fan, Hongda Zhang, Xia Liu, Lei Gao
Soil degradation in the typical black soil region in Northeast China poses a threat to agricultural productivity and sustainability. However, little is known about the distribution of soil with different degradation degrees on a regional scale. This study aimed to map soil degradation status based on a newly developed soil degradation index (SDI) and assessed the uncertainty of degradation risk through the combination of ordinary Kriging and sequential Gaussian simulation (SGS) in order to enhance the accuracy and credibility of predictive results. The mean SDI was 0.445, with a coefficient of variation of 30%. The realization with 200 times by SGS was the best showed an increasing pattern of soil degradation degree from north to south in the study area. Slightly and moderately degraded sloping cropland accounted for 35.3% and 52.4% of all sloping cropland, respectively. High-risk areas were mainly located in the Daxing'an and Changbai Mountains to the Songnen Plain. Proactive measures are necessary to control and mitigate further degradation by improving soil management and weakening the impact of runoff on sloping cropland. The developed risk assessment maps provide baseline information for regional sustainable development.
{"title":"Soil Degradation of Sloping Cropland in the Typical Black Soil Region in Northeast China: Risk Assessment and Uncertainty Analysis","authors":"Shouhao Zhang, Lei Sun, Abdul Hakim Jamshidi, Yong Niu, Zhaofei Fan, Hongda Zhang, Xia Liu, Lei Gao","doi":"10.1002/ldr.5406","DOIUrl":"https://doi.org/10.1002/ldr.5406","url":null,"abstract":"Soil degradation in the typical black soil region in Northeast China poses a threat to agricultural productivity and sustainability. However, little is known about the distribution of soil with different degradation degrees on a regional scale. This study aimed to map soil degradation status based on a newly developed soil degradation index (SDI) and assessed the uncertainty of degradation risk through the combination of ordinary Kriging and sequential Gaussian simulation (SGS) in order to enhance the accuracy and credibility of predictive results. The mean SDI was 0.445, with a coefficient of variation of 30%. The realization with 200 times by SGS was the best showed an increasing pattern of soil degradation degree from north to south in the study area. Slightly and moderately degraded sloping cropland accounted for 35.3% and 52.4% of all sloping cropland, respectively. High-risk areas were mainly located in the Daxing'an and Changbai Mountains to the Songnen Plain. Proactive measures are necessary to control and mitigate further degradation by improving soil management and weakening the impact of runoff on sloping cropland. The developed risk assessment maps provide baseline information for regional sustainable development.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"16 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142968006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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