Vegetation pattern formation in Daisyworld model with greenhouse effect

IF 2.6 3区 环境科学与生态学 Q2 ECOLOGY
Maya Kageyama
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引用次数: 0

Abstract

A vegetation pattern is closely related to its environmental conditions. The quantitative and qualitative effects of environmental changes due to increased greenhouse gases on vegetation patterns should thus be urgently investigated. Although the simple Daisyworld model, a conceptual Earth system model introduced in the 1980s, limits life on the plant to two species of daisies, it is expected to provide new insights into the relationship between vegetation patterns and environmental conditions. This study investigates the effects of greenhouse gases on plants and their environment in a two-dimensional Daisyworld model that takes the greenhouse effect into account. Specifically, the effect of varying the emissivity of the atmosphere for longwave radiation on the temperature and distribution of daisies on Daisyworld is examined. A numerical simulation of the two-dimensional Daisyworld model shows that the two species of daisies are unable to adapt to the climate change caused by an intensifying greenhouse effect and thus become extinct.
温室效应下雏菊世界模式下植被格局的形成
植被格局与其所处的环境条件密切相关。因此,应紧急调查温室气体增加对植被形态造成的环境变化的数量和质量影响。尽管简单的雏菊世界模型(20世纪80年代引入的一个概念性地球系统模型)将植物上的生命限制在两种雏菊上,但它有望为植被模式和环境条件之间的关系提供新的见解。本研究在考虑温室效应的二维雏菊世界模型中研究了温室气体对植物及其环境的影响。具体来说,研究了大气长波辐射发射率的变化对雏菊的温度和雏菊在雏菊世界中的分布的影响。二维雏菊世界模型的数值模拟表明,由于温室效应的加剧,这两种雏菊无法适应气候变化而灭绝。
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来源期刊
Ecological Modelling
Ecological Modelling 环境科学-生态学
CiteScore
5.60
自引率
6.50%
发文量
259
审稿时长
69 days
期刊介绍: The journal is concerned with the use of mathematical models and systems analysis for the description of ecological processes and for the sustainable management of resources. Human activity and well-being are dependent on and integrated with the functioning of ecosystems and the services they provide. We aim to understand these basic ecosystem functions using mathematical and conceptual modelling, systems analysis, thermodynamics, computer simulations, and ecological theory. This leads to a preference for process-based models embedded in theory with explicit causative agents as opposed to strictly statistical or correlative descriptions. These modelling methods can be applied to a wide spectrum of issues ranging from basic ecology to human ecology to socio-ecological systems. The journal welcomes research articles, short communications, review articles, letters to the editor, book reviews, and other communications. The journal also supports the activities of the [International Society of Ecological Modelling (ISEM)](http://www.isemna.org/).
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