Literature DB >> 34664437

[A process-based model and simulation system of dynamic change and spatial variation in large-scale terrestrial ecosystems].

Gui-Rui Yu1,2, Li Zhagn1,2,3, Hong-Lin He1,2,3, Meng Yang1,2.   

Abstract

More attention has been paid to the monitoring, assessment, prediction, early warning and sustainable management of regional ecological environment and the changes of ecosystem state in recent years. It is an important scientific and technological task to develop quantitative methods and numerical simulation techniques for ecosystem modelling, and to construct the continental scale numerical simulator with the characteristics of multi-process coupling, multi-technology integration, and multi-objective application for stimulating research on ecosystem and global change and its resources, environment and disaster effects, based on the in-depth understanding of the components, processes, functions, patterns, and their interaction mechanism of terrestrial ecosystem. Here, we reviewed the current status and future direction of terrestrial ecosystem models, and discussed the conceptual framework of developing the simulation system of dynamic change and spatial variation in large-scale terrestrial ecosystems and its resource and environment effect, as well as basic issues on the function orientation and structure design of the simulation system, which would provide reference for constructing Chinese terrestrial ecosystem numerical simulator.

Entities:  

Keywords:  ecosystem model; ecosystem science; large-scale terrestrial ecosystem; macroecosystem science; terrestrial ecosystem numerical simulator

Mesh:

Year:  2021        PMID: 34664437     DOI: 10.13287/j.1001-9332.202108.040

Source DB:  PubMed          Journal:  Ying Yong Sheng Tai Xue Bao        ISSN: 1001-9332


  1 in total

1.  Spatiotemporal changes in net primary productivity before and after the development of unused land in the hilly areas of Hebei, China.

Authors:  Li Zhao; Yaqian Chen; Xueyan Wang; Mengwei Su; Hao Xu; Pengtao Zhang
Journal:  PLoS One       Date:  2022-06-16       Impact factor: 3.752

  1 in total

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