A review of models for simulating the soil-plant interface for different climatic conditions and land uses in the Loess Plateau, China

Turkeltaub, T. and Gongadze, K. and Lü, Y. and Huang, M. and Jia, X. and Yang, H. and Shao, M. and Binley, A. and Harris, P. and Wu, L. (2022) A review of models for simulating the soil-plant interface for different climatic conditions and land uses in the Loess Plateau, China. Ecological Modelling, 474. ISSN 0304-3800

[img]
Text (Turkeltaub_et_al (accepted manuscript - author copy))
Turkeltaub_et_al_accepted_manuscript_.pdf - Accepted Version
Restricted to Repository staff only until 21 October 2023.
Available under License Creative Commons Attribution-NonCommercial-NoDerivs.

Download (607kB)

Abstract

Impacts due to climate change, population growth and intensive agriculture continue to be a major concern worldwide. Sustainable agriculture with coherent land management strategies is essential to mitigate against adverse environmental impacts. For the Chinese Loess Plateau (CLP), much research has focused on implementing soil-plant-atmosphere models to inform mitigation initiatives such as large-scale vegetation restoration programs. However, model choice typically depends on measurement availability and specific research questions, where many modeling approaches are established according to site specific data and parameterized via local information, making their generalization elsewhere difficult. Furthermore, in most studies only one modeling approach is selected, and thus its merit is difficult to assess relative to alternatives. Given these challenges, this review examines the capability of models with different level of complexity to simulate water fluxes and nutrient transformations for the CLP. Reviewed models were typically employed under different climate conditions (e.g., snowmelt, soil freezing and thawing) and across different land-uses (e.g., revegetated areas) which reflects the robustness of some models (e.g., for description of vegetation grow), but at the same time illustrates model weaknesses that should be addressed (e.g., water simulations under thawing conditions). On conducting this review, a general framework for choosing or developing the most appropriate modeling approach is established given a study site's climatic and ecological conditions and research aims.

Item Type:
Journal Article
Journal or Publication Title:
Ecological Modelling
Additional Information:
This is the author’s version of a work that was accepted for publication in Ecological Modelling. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Ecological Modelling, 474, 2022 DOI: 10.1016/j.ecolmodel.2022.110173
Uncontrolled Keywords:
Data Sharing Template/no
Subjects:
ID Code:
179598
Deposited By:
Deposited On:
22 Nov 2022 12:01
Refereed?:
Yes
Published?:
Published
Last Modified:
22 Nov 2022 12:01