{"title":"Spatial interrelationships between soil organic carbon and plant diversity at multiple scales within China’s largest archipelago","authors":"Zhenhang Liu, Yuan Chi, Yubing Qu, Zuolun Xie, Zhiwei Zhang, Lvyin Ouyang","doi":"10.1007/s11104-025-07324-7","DOIUrl":null,"url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Aims</h3><p>An essential part of the interaction between ecosystem productivity and biodiversity is the spatial interrelationship between plant diversity (PD) and soil organic carbon (SOC). Therefore, its thorough understanding is crucial for making ecological plans and adapting to climate change.</p><h3 data-test=\"abstract-sub-heading\">Methods</h3><p>Based on building the multi-scale analysis framework of \"archipelago and region double scopes + island and site double units,\" this study evaluated the spatial correlations between PD and SOC at different scales and clarified the key factors and influence paths of regulating spatial interrelationships.</p><h3 data-test=\"abstract-sub-heading\">Results</h3><p>The observations indicated a negative correlation between SOC and herb diversity, and a positive correlation between SOC and tree and shrub diversity. Meanwhile, at an identical scope, as the spatial unit increased, the spatial interrelations weakened, and the dominant environmental factors in the fine spatial unit tended to be spatially homogenized and transformed to be dominated by factors in the coarse spatial unit. Specifically, the distributions of PD and SOC in the island unit were influenced significantly by area-weighted mean shape index, number of patches, total edge, and island area, with contribution rates of 33.3%, 21.2%, 21.1%, and 20.3%, respectively. The distribution of both at the site unit was influenced by slope (32.1%), total nitrogen (18.6%), human influence index (18.1%), and salinity (14.7%).</p><h3 data-test=\"abstract-sub-heading\">Conclusion</h3><p>The study developed a mechanism framework that explained the \"community–landscape–local\" spatial interrelationships between PD and SOC in the archipelago. It recommends a enhancement strategy of \"optimizing plant community–reducing human intervention–establishing governance system\" as a chain.</p>","PeriodicalId":20223,"journal":{"name":"Plant and Soil","volume":"22 1","pages":""},"PeriodicalIF":3.9000,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Plant and Soil","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1007/s11104-025-07324-7","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRONOMY","Score":null,"Total":0}
引用次数: 0
Abstract
Aims
An essential part of the interaction between ecosystem productivity and biodiversity is the spatial interrelationship between plant diversity (PD) and soil organic carbon (SOC). Therefore, its thorough understanding is crucial for making ecological plans and adapting to climate change.
Methods
Based on building the multi-scale analysis framework of "archipelago and region double scopes + island and site double units," this study evaluated the spatial correlations between PD and SOC at different scales and clarified the key factors and influence paths of regulating spatial interrelationships.
Results
The observations indicated a negative correlation between SOC and herb diversity, and a positive correlation between SOC and tree and shrub diversity. Meanwhile, at an identical scope, as the spatial unit increased, the spatial interrelations weakened, and the dominant environmental factors in the fine spatial unit tended to be spatially homogenized and transformed to be dominated by factors in the coarse spatial unit. Specifically, the distributions of PD and SOC in the island unit were influenced significantly by area-weighted mean shape index, number of patches, total edge, and island area, with contribution rates of 33.3%, 21.2%, 21.1%, and 20.3%, respectively. The distribution of both at the site unit was influenced by slope (32.1%), total nitrogen (18.6%), human influence index (18.1%), and salinity (14.7%).
Conclusion
The study developed a mechanism framework that explained the "community–landscape–local" spatial interrelationships between PD and SOC in the archipelago. It recommends a enhancement strategy of "optimizing plant community–reducing human intervention–establishing governance system" as a chain.
期刊介绍:
Plant and Soil publishes original papers and review articles exploring the interface of plant biology and soil sciences, and that enhance our mechanistic understanding of plant-soil interactions. We focus on the interface of plant biology and soil sciences, and seek those manuscripts with a strong mechanistic component which develop and test hypotheses aimed at understanding underlying mechanisms of plant-soil interactions. Manuscripts can include both fundamental and applied aspects of mineral nutrition, plant water relations, symbiotic and pathogenic plant-microbe interactions, root anatomy and morphology, soil biology, ecology, agrochemistry and agrophysics, as long as they are hypothesis-driven and enhance our mechanistic understanding. Articles including a major molecular or modelling component also fall within the scope of the journal. All contributions appear in the English language, with consistent spelling, using either American or British English.