Yang Yang , Tingting Peng , Hui Zhang , Xin Wei , Yingna Liu
{"title":"黑土耕层表土C、N随土壤侵蚀的空间变异性","authors":"Yang Yang , Tingting Peng , Hui Zhang , Xin Wei , Yingna Liu","doi":"10.1016/j.catena.2025.109422","DOIUrl":null,"url":null,"abstract":"<div><div>Soil erosion is a crucial process leading to soil organic carbon (SOC) and total nitrogen (TN) redistributions in the topsoil in agricultural ecosystems, yet it remains ambiguous how the spatial variability of topsoil SOC and TN respond to soil erosion. The objective was to characterize the spatial structures of topsoil SOC, TN and their stochiometric ratio, and to disentangle their spatial relationships with soil erosion in a landscape. On a toposequence spanning ∼ 3,500 m in the black soil region of northeast China, soil erosion rate (ER), and SOC, TN and the C/N ratios at the depths of 0–10 and 10–20 cm were investigated in an interval of 40 m. Unlike the highly variable ER presenting a long-range exponential structure, both the contents and stocks of topsoil SOC and TN were moderately variable and displayed spherical structures with much shorter correlation ranges between 1,000 and 1,400 m. The C/N ratios were even less variable, and exhibited nearly random distributions. Except for the C/N ratio at 0–10 cm depth, all variables were significantly negatively associated with ER at the scale of investigation (<em>p</em> < 0.05), as erosion tends to remove the fertile topsoil, especially the fine particulate organic matter rich in C, and to promote SOC decomposition via aggregate disintegration. The corresponding correlation coefficients ranged from −0.260 to −0.527. Applying multivariate variational mode decomposition (MVMD), however, insignificant and even significantly positive correlations were detected at different spatial scales between some variables and ER. The wavelet coherency corroborated the scale-dependent relationships of each variable with ER, and specified the sections displaying various correlations. These findings demonstrate the intricate spatial relationships of topsoil C and N with erosion, and hold important implications for sustainable agricultural management.</div></div>","PeriodicalId":9801,"journal":{"name":"Catena","volume":"260 ","pages":"Article 109422"},"PeriodicalIF":5.7000,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Spatial variability of topsoil C and N in relation to soil erosion along a cultivated black soil toposequence\",\"authors\":\"Yang Yang , Tingting Peng , Hui Zhang , Xin Wei , Yingna Liu\",\"doi\":\"10.1016/j.catena.2025.109422\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Soil erosion is a crucial process leading to soil organic carbon (SOC) and total nitrogen (TN) redistributions in the topsoil in agricultural ecosystems, yet it remains ambiguous how the spatial variability of topsoil SOC and TN respond to soil erosion. The objective was to characterize the spatial structures of topsoil SOC, TN and their stochiometric ratio, and to disentangle their spatial relationships with soil erosion in a landscape. On a toposequence spanning ∼ 3,500 m in the black soil region of northeast China, soil erosion rate (ER), and SOC, TN and the C/N ratios at the depths of 0–10 and 10–20 cm were investigated in an interval of 40 m. Unlike the highly variable ER presenting a long-range exponential structure, both the contents and stocks of topsoil SOC and TN were moderately variable and displayed spherical structures with much shorter correlation ranges between 1,000 and 1,400 m. The C/N ratios were even less variable, and exhibited nearly random distributions. Except for the C/N ratio at 0–10 cm depth, all variables were significantly negatively associated with ER at the scale of investigation (<em>p</em> < 0.05), as erosion tends to remove the fertile topsoil, especially the fine particulate organic matter rich in C, and to promote SOC decomposition via aggregate disintegration. The corresponding correlation coefficients ranged from −0.260 to −0.527. Applying multivariate variational mode decomposition (MVMD), however, insignificant and even significantly positive correlations were detected at different spatial scales between some variables and ER. The wavelet coherency corroborated the scale-dependent relationships of each variable with ER, and specified the sections displaying various correlations. These findings demonstrate the intricate spatial relationships of topsoil C and N with erosion, and hold important implications for sustainable agricultural management.</div></div>\",\"PeriodicalId\":9801,\"journal\":{\"name\":\"Catena\",\"volume\":\"260 \",\"pages\":\"Article 109422\"},\"PeriodicalIF\":5.7000,\"publicationDate\":\"2025-09-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Catena\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0341816225007246\",\"RegionNum\":1,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GEOSCIENCES, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Catena","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0341816225007246","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
Spatial variability of topsoil C and N in relation to soil erosion along a cultivated black soil toposequence
Soil erosion is a crucial process leading to soil organic carbon (SOC) and total nitrogen (TN) redistributions in the topsoil in agricultural ecosystems, yet it remains ambiguous how the spatial variability of topsoil SOC and TN respond to soil erosion. The objective was to characterize the spatial structures of topsoil SOC, TN and their stochiometric ratio, and to disentangle their spatial relationships with soil erosion in a landscape. On a toposequence spanning ∼ 3,500 m in the black soil region of northeast China, soil erosion rate (ER), and SOC, TN and the C/N ratios at the depths of 0–10 and 10–20 cm were investigated in an interval of 40 m. Unlike the highly variable ER presenting a long-range exponential structure, both the contents and stocks of topsoil SOC and TN were moderately variable and displayed spherical structures with much shorter correlation ranges between 1,000 and 1,400 m. The C/N ratios were even less variable, and exhibited nearly random distributions. Except for the C/N ratio at 0–10 cm depth, all variables were significantly negatively associated with ER at the scale of investigation (p < 0.05), as erosion tends to remove the fertile topsoil, especially the fine particulate organic matter rich in C, and to promote SOC decomposition via aggregate disintegration. The corresponding correlation coefficients ranged from −0.260 to −0.527. Applying multivariate variational mode decomposition (MVMD), however, insignificant and even significantly positive correlations were detected at different spatial scales between some variables and ER. The wavelet coherency corroborated the scale-dependent relationships of each variable with ER, and specified the sections displaying various correlations. These findings demonstrate the intricate spatial relationships of topsoil C and N with erosion, and hold important implications for sustainable agricultural management.
期刊介绍:
Catena publishes papers describing original field and laboratory investigations and reviews on geoecology and landscape evolution with emphasis on interdisciplinary aspects of soil science, hydrology and geomorphology. It aims to disseminate new knowledge and foster better understanding of the physical environment, of evolutionary sequences that have resulted in past and current landscapes, and of the natural processes that are likely to determine the fate of our terrestrial environment.
Papers within any one of the above topics are welcome provided they are of sufficiently wide interest and relevance.