Heuristic cellular automaton model for simulating soil organic carbon under land use and climate change: A case study in eastern China-Reference-Cited by-同舟云学术

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Heuristic cellular automaton model for simulating soil organic carbon under land use and climate change: A case study in eastern China

Published:2019-01 Issue: Volume:269 Page:156-166
ISSN:0167-8809
Container-title:Agriculture, Ecosystems & Environment
language:en
Short-container-title:Agriculture, Ecosystems & Environment

Author:

Song Xiao-Dong,Yang Jian-Yi,Zhao Ming-Song,Zhang Gan-Lin,Liu Feng,Wu Hua-Yong

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Agronomy and Crop Science,Animal Science and Zoology,Ecology

Reference72 articles.

1. The simulation and prediction of spatio-temporal urban growth trends using cellular automata models: a review;Aburas;Int. J. Appl. Earth Observ. Geoinf.,2016

2. Litter decomposition rates of green manure as affected by soil erosion, transport and deposition processes, and the implications for the soil carbon balance of a rainfed olive grove under a dry Mediterranean climate;Almagro;Agric. Ecosyst. Environ.,2014

3. Land use and land cover changes explain spatial and temporal variations of the soil organic carbon stocks in a constructed urban park;Bae;Landsc. Urban Plan.,2015

4. Land use and climate control the spatial distribution of soil types in the grasslands of Inner Mongolia;Barthold;J. Arid Environ.,2013

5. Land use changes modelling using advanced methods: cellular automata and artificial neural networks. The spatial and explicit representation of land cover dynamics at the cross-border region scale;Basse;Appl. Geogr.,2014

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1. Broadening the horizon in land use change modelling: Normative scenarios for nature positive futures in Switzerland;Regional Environmental Change;2024-07-24

2. Predicting soil organic carbon stocks under future land use and climate change conditions in Northeast China;Environmental Impact Assessment Review;2023-11

3. Utilization of the DNDC model to estimate yield and CO2 and CH4 emissions in a cotton-wheat rotation under the influence of various tillage treatments;Ecological Modelling;2023-07

4. Soil carbon stocks can be negatively affected by land use and climate change in natural ecosystems of semi-arid environment of Iran;Geoderma Regional;2022-12

5. Changes in soil organic carbon stocks from 1980‐1990 and 2010‐2020 in the northwest arid zone of China;Land Degradation & Development;2022-07-24

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