非生物因子对浮游植物生长影响的模型研究
发布时间：2018-07-13 17:47
【摘要】：本文主要利用动力学模型方法,旨在研究非生物因子对浮游植物生长的影响.文章首先介绍了研究的背景、方法及主要研究工作.基于动力学模型方法,考虑温度、光照强度和营养盐浓度对浮游植物生长的影响,建立刻画浮游植物生长的单种群动力学模型.定义刻画非生物因子对浮游植物生长综合影响的生态再生指标.生态再生指标用以刻画模型的全局动力学行为.数值分析分别讨论了温度、光照强度和营养盐浓度对浮游植物平衡种群水平的影响.通过模型预测和实验数据相结合的方法检验了模型的可行性.模型为潜水湖泊浮游植物动力学研究建立了理论框架,为湖泊浮游植物爆发的控制策略提供了理论基础.在常态非生物因子对浮游植物生长影响研究的基础上,考虑温度的季节性变化,建立刻画浮游植物生长的非自治动力学模型.计算非自治系统中用以刻画季节性温度变化对浮游植物生长影响的生态再生指标.利用重合度理论和Lyapunov直接法研究了周期解的存在性和稳定性.数值实验探究了温度变化的长期效应和短期效应对浮游植物生长的影响.结果显示,浮游植物丰度变化对水温变化有较强的强健性.模型预测结果与太湖野外观测数据吻合,验证了模型的适应性和可行性.模型从非生物因子角度揭示了浮游植物周期性爆发的机制.前面的研究忽略了化学元素配比对浮游植物生长的影响.考虑磷碳比在水生生物体内的异质性,基于生态化学计量学方法,推广由Loladze,Kuang,Elser建立的LKE模型,研究受两种营养盐(碳和磷)限制的浮游植物-浮游动物-鱼的三维食物链模型.理论分析和数值模拟探究了系统复杂的动力学行为.从最大Lyapunov指数的研究中发现,系统发生了混沌的动力学行为.分支分析结果显示,浮游植物质量(磷碳比)的下降间接对高级捕食者鱼类产生了更大的影响.文章最后总结了研究的主要结论,列出了本文所参考的主要文献。
[Abstract]:In this paper, the effects of abiotic factors on phytoplankton growth were studied by means of kinetic model. This paper first introduces the background, methods and main research work of the research. Based on the kinetic model method, considering the effects of temperature, light intensity and nutrient concentration on phytoplankton growth, a single population dynamics model was established to describe phytoplankton growth. The ecological regeneration index is defined to describe the comprehensive effect of abiotic factors on phytoplankton growth. The ecological regeneration index is used to describe the global dynamic behavior of the model. The effects of temperature, light intensity and nutrient concentration on the level of phytoplankton equilibrium population were discussed numerically. The feasibility of the model is verified by combining model prediction with experimental data. The model provides a theoretical framework for the study of phytoplankton dynamics in submersible lakes and provides a theoretical basis for the control strategy of phytoplankton eruption in lakes. Based on the study of the effect of normal abiotic factors on phytoplankton growth, a nonautonomous dynamic model was established to describe phytoplankton growth, considering the seasonal variation of temperature. The ecological regeneration indexes used to describe the effects of seasonal temperature changes on phytoplankton growth in nonautonomous systems were calculated. The existence and stability of periodic solutions are studied by using coincidence degree theory and Lyapunov direct method. The long-term and short-term effects of temperature change on phytoplankton growth were investigated by numerical experiments. The results showed that phytoplankton abundance had strong robustness to water temperature change. The model prediction results are in agreement with the field observation data of Taihu Lake, which verifies the adaptability and feasibility of the model. The model reveals the mechanism of periodic phytoplankton eruptions from the perspective of abiotic factors. The previous study ignored the effect of chemical element ratios on phytoplankton growth. Considering the heterogeneity of phosphorus to carbon ratio in aquatic organisms, based on ecochemometrics method, the LKE model established by Loladzea Kuangzao Elser was extended to study the three-dimensional food chain model of phytoplankton, zooplankton and fish, which was limited by two nutrient salts (carbon and phosphorus). The complex dynamic behavior of the system is investigated by theoretical analysis and numerical simulation. From the study of the largest Lyapunov exponent, it is found that the chaotic dynamics of the system occurs. The results of branch analysis showed that the decline of phytoplankton mass (P / C ratio) had a greater effect on the advanced predator fish. Finally, the main conclusions of the study are summarized, and the main references are listed.
【学位授予单位】：东北师范大学
【学位级别】：博士
【学位授予年份】：2017
【分类号】：O175
本文编号：2120244
[Abstract]:In this paper, the effects of abiotic factors on phytoplankton growth were studied by means of kinetic model. This paper first introduces the background, methods and main research work of the research. Based on the kinetic model method, considering the effects of temperature, light intensity and nutrient concentration on phytoplankton growth, a single population dynamics model was established to describe phytoplankton growth. The ecological regeneration index is defined to describe the comprehensive effect of abiotic factors on phytoplankton growth. The ecological regeneration index is used to describe the global dynamic behavior of the model. The effects of temperature, light intensity and nutrient concentration on the level of phytoplankton equilibrium population were discussed numerically. The feasibility of the model is verified by combining model prediction with experimental data. The model provides a theoretical framework for the study of phytoplankton dynamics in submersible lakes and provides a theoretical basis for the control strategy of phytoplankton eruption in lakes. Based on the study of the effect of normal abiotic factors on phytoplankton growth, a nonautonomous dynamic model was established to describe phytoplankton growth, considering the seasonal variation of temperature. The ecological regeneration indexes used to describe the effects of seasonal temperature changes on phytoplankton growth in nonautonomous systems were calculated. The existence and stability of periodic solutions are studied by using coincidence degree theory and Lyapunov direct method. The long-term and short-term effects of temperature change on phytoplankton growth were investigated by numerical experiments. The results showed that phytoplankton abundance had strong robustness to water temperature change. The model prediction results are in agreement with the field observation data of Taihu Lake, which verifies the adaptability and feasibility of the model. The model reveals the mechanism of periodic phytoplankton eruptions from the perspective of abiotic factors. The previous study ignored the effect of chemical element ratios on phytoplankton growth. Considering the heterogeneity of phosphorus to carbon ratio in aquatic organisms, based on ecochemometrics method, the LKE model established by Loladzea Kuangzao Elser was extended to study the three-dimensional food chain model of phytoplankton, zooplankton and fish, which was limited by two nutrient salts (carbon and phosphorus). The complex dynamic behavior of the system is investigated by theoretical analysis and numerical simulation. From the study of the largest Lyapunov exponent, it is found that the chaotic dynamics of the system occurs. The results of branch analysis showed that the decline of phytoplankton mass (P / C ratio) had a greater effect on the advanced predator fish. Finally, the main conclusions of the study are summarized, and the main references are listed.
【学位授予单位】：东北师范大学
【学位级别】：博士
【学位授予年份】：2017
【分类号】：O175
【参考文献】
相关期刊论文 前10条
1 黄翔鹄;刘梅;周美华;古滨河;;波吉卵囊藻对养殖水体溶解态氮吸收规律的研究[J];渔业现代化;2012年03期
2 王丽卿;许莉;卢子园;施荣;王岩;季高华;张瑞雷;范志锋;;淀山湖浮游植物数量消长及其与环境因子的关系[J];环境科学;2011年10期
3 吕艳春;徐镜波;王春红;;新立城水库藻类水华环境因子分析及其预警监测[J];环境科学导刊;2010年03期
4 王成林;潘维玉;韩月琪;钱新;;全球气候变化对太湖蓝藻水华发展演变的影响[J];中国环境科学;2010年06期
5 崔俊涛;蔡秋波;;环境因子对新立城水库铜绿微囊藻生长的影响[J];吉林农业大学学报;2010年01期
6 韦海英;柴立和;;磷循环的非线性动力学特性及富营养化[J];湖泊科学;2006年06期
7 丁玲,逄勇,李凌,高光;水动力条件下藻类动态模拟[J];生态学报;2005年08期
8 逄勇,丁玲,高光;基于生态槽实验的藻类生长参数确定[J];环境科学;2005年03期
9 孔繁翔,高光;大型浅水富营养化湖泊中蓝藻水华形成机理的思考[J];生态学报;2005年03期
10 秦伯强,罗潋葱;太湖生态环境演化及其原因分析[J];第四纪研究;2004年05期
相关博士学位论文 前2条
1 郝丽娜;基于生态化学计量学的食植系统的研究[D];东北师范大学;2014年
2 韩秀荣;长江口及邻近海域浮游植物生长的多环境效应因子影响解析研究[D];中国海洋大学;2009年
，本文编号：2120244
本文链接：https://www.wllwen.com/shoufeilunwen/jckxbs/2120244.html
