Mapping surface soil organic carbon density by combining different soil sampling data sources and prediction models in Yangtze River Delta, China

Lin, Shurui; Zhu, Qing; Liao, Kaihua; Lai, Xiaoming; Guo, Changqiang

doi:10.1016/j.catena.2023.107656

CATENA

2024

DOI: 10.1016/j.catena.2023.107656

|View full text |Cite

Mapping surface soil organic carbon density by combining different soil sampling data sources and prediction models in Yangtze River Delta, China

Shurui Lin,

Qing Zhu,

Kaihua Liao

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 52 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Spatial variability of soil carbon across a hillslope restoration planting in New Zealand

D’Ath,

Sila-Nowicka,

Schwendenmann

2024

Soil Res.

View full text Add to dashboard Cite

Context Forest restoration has been adopted by governments and local communities across the globe to restore ecological functions and as a measure to mitigate climate change. Aims This study investigated the spatial variation in landscape, vegetation, soil characteristics, and soil carbon storage under young restoration plantings across a hillslope in northern New Zealand. Methods Soil samples (0–10 cm, 10–20 cm, and 20–30 cm) were taken from 121 locations across 5–20-year-old restoration plantings, remnant and regenerating bush and pasture. Samples were analysed for bulk density, pH, and soil carbon concentration and soil carbon stocks were calculated. Ordinary kriging and multiscale geographically weighted regression (MGWR) were used to predict and explain soil carbon stocks across the landscape. Key results Soil carbon stocks (0–10 cm depth) across the study area ranged from 1.9 to 7.1 kg m−2. Spatial analysis revealed that elevation, slope, stem density, bulk density, and pH had a significant effect on the magnitude and distribution of soil carbon stocks. Conclusions and implications This study has shown that topography had a strong effect on soil carbon stocks across the young restoration plantings. The outcome of this study highlights the importance of taking landscape and soil characteristics into account when planning a forest restoration project.

show abstract

Spatial variability of soil carbon across a hillslope restoration planting in New Zealand

D’Ath,

Sila-Nowicka,

Schwendenmann

2024

Soil Res.

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Mapping surface soil organic carbon density by combining different soil sampling data sources and prediction models in Yangtze River Delta, China

Cited by 1 publication

References 52 publications

Spatial variability of soil carbon across a hillslope restoration planting in New Zealand

Spatial variability of soil carbon across a hillslope restoration planting in New Zealand

Contact Info

Product

Resources

About