Litter carbon inputs to the mineral soil of Japanese Brown forest soils: comparing estimates from the RothC model with estimates from MODIS-Reference-Cited by-同舟云学术

Litter carbon inputs to the mineral soil of Japanese Brown forest soils: comparing estimates from the RothC model with estimates from MODIS

Published:2011-02 Issue:1 Volume:16 Page:16-25
ISSN:1341-6979
Container-title:Journal of Forest Research
language:en
Short-container-title:Journal of Forest Research

Author:

Hashimoto Shoji¹,Wattenbach Martin²,Smith Pete²

Affiliation:

1. Soil Resources Laboratory, Department of Forest Site Environment, Forestry and Forest Products Research Institute (FFPRI), Incorporated Administrative Agency, 1 Matsunosato, Tsukuba, Ibaraki 305-8687, Japan

2. Institute of Biological and Environmental Sciences, School of Biological Sciences, University of Aberdeen, Aberdeen, UK

Publisher

Informa UK Limited

Subject

Forestry

Link

https://www.tandfonline.com/doi/pdf/10.1007/s10310-010-0209-6

Reference49 articles.

1. Estimating terrestrial NPP: what the data say and how they may be interpreted?

2. The scheme for globalization of a process-based model explaining gradations in terrestrial NPP and its application

3. Implications of the carbon cycle steady state assumption for biogeochemical modeling performance and inverse parameter retrieval

4. Application of BIOME-BGC to simulate Mediterranean forest processes

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A case study of the RothC soil carbon model with potential evapotranspiration and remote sensing model inputs;Remote Sensing Applications: Society and Environment;2023-01

2. Applicability of Biogeochemical Models to Forest Ecosystems in South Korea;Journal of Climate Change Research;2022-08-31

3. Wind disturbance on litter production affects soil carbon accumulation in degraded sandy grasslands in semi-arid sandy grassland;Ecological Engineering;2021-11

4. Global process-based characterization factors of soil carbon depletion for life cycle impact assessment;Scientific Data;2021-09-09

5. Feasibility of the 4 per 1000 aspirational target for soil carbon: A case study for France;Global Change Biology;2021-04-08