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Simulating Species Dominance in Mixed Mangrove Forests Considering Species-Specific Responses to Shading, Salinity, and Inundation Frequency

机译:在考虑物种特异性对遮阳,盐度和淹没频率的情况下,模拟混合红树林中的种类优势

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To ensure that mangrove forest conservation efforts are successful, simulation models of mangrove forests are developed to forecast outcomes of different environmental scenarios. This paper presents MaDS (Mangrove species Dominance Simulator), an agent-based model that simulates the structures of mixed mangrove forest stands by considering specific responses of mangrove species to shading, salinity, and inundation frequencies. By simulating certain inundation and salinity conditions in a 50 m × 50 m plot, the model forecasts the resulting dominance of different mangrove species. The model uses different species-specific parameters for differentiating responses to environmental factors. The model was validated by conducting an experiment where different test sites in Katunggan It-Ibajay (KII) Eco-park, Aklan, Philippines were simulated given actual site salinity and inundation frequency values to see if simulated species dominance matched actual site species dominance. The validation experiment showed simulated dominant species matched with dominant species in the sites given that different groups of species are tested. An experiment on species abundance at different combinations of salinity and inundation frequency values was also conducted. Results of the simulations imply that observed zonation in mangrove forests is not only caused by the environmental conditions in the site but also by the number and characteristics of species in the site.
机译:为确保红树林森林保护努力成功,开发了红树林森林的模拟模型,以预测不同环境情景的结果。本文介绍了一种疯狂(红树林种类主导模拟器),一种基于代理的模型,通过考虑红树林种类对遮蔽,盐度和淹没频率的特定反应来模拟混合红树林的结构。通过在50米×50米的地块中模拟某些淹没和盐度条件,该模型预测了不同红树林的所产生的优势。该模型使用不同的特定参数来区分对环境因素的响应。该模型通过进行实验进行验证,在Katunggan It-Ibajay(KII)生态公园,Aklan,菲律宾的不同测试场所进行了模拟了实际的网站盐度和淹没频率值,以了解模拟物种是否匹配实际场地种类的主导地位。验证实验表明,鉴于测试不同的物种群体中,符合网站中占主导地质的模拟显性物种。还进行了在不同组合的盐度和淹没频率值的物种对物种的实验。模拟结果意味着红树林中观察到的分区不仅是由现场的环境条件引起的,而且是本地物种的数量和特征。

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