Simulation of Bottom Phytocenosis in the Crimean Coastal Zone

IF 0.7 Q4 OCEANOGRAPHY
E. Vasechkina, T. A. Filippova
{"title":"Simulation of Bottom Phytocenosis in the Crimean Coastal Zone","authors":"E. Vasechkina, T. A. Filippova","doi":"10.22449/1573-160x-2020-3-317-334","DOIUrl":null,"url":null,"abstract":"Purpose. The work is aimed at simulating production processes in the bottom phytocenosis typical of the rocky soils in the Crimean coastal zone. The macroalgae uptake of the main nutrients (phosphates, ammonium and nitrates) and release of oxygen and dissolved compounds are planned to be estimated. Methods and Results. The study was based on the balance model of the macroalgae growth and interaction with the environment. The model empirical parameters were determined from the published data of the laboratory experiments. The bottom phytocenosis in the model was represented by seven algae species: Cystoseira barbata, Ulva lactuca, Ceramium tenuicorne, Cladophora glomerata, Polysiphonia nigrescens, Phyllophora truncata, Enteromorpha prolifera. The main simulation results were: annual estimates of the released and absorbed substances, seasonal dynamics of the macroalgae biomass and evaluation of the bottom phytocenosis response to the changing environmental conditions. The rate of the production processes in the model was influenced both by the external (water temperature, insolation and concentration of nutrients in water) and internal (intracellular quotas of nitrogen and phosphorus, and species-specific parameters determining efficiency of nutrient assimilation by the algae tissues) factors. According to the simulation results, the ratio of nitrogen to phosphorus in the algae tissues was significantly higher than that in the seawater and varied from 30 to 60 for different species depending on water temperature, light exposure and concentration of nutrients. Conclusions. During the periods of intensive macroalgae growth (from April to September), the rate of nitrogen and phosphorus uptake can increase by a factor of 1.5 in comparison with the winter period. Maximum contribution to water purification from the surplus nutrients was made by the green algae: Ulva lactuca, Cladophora glomerata and Enteromorpha prolifera. At that Cladophora glomerata has shown the best adaptive abilities (minimal decrease in the growth rate) under a sharp drop of nutrients concentration in water.","PeriodicalId":43550,"journal":{"name":"Physical Oceanography","volume":null,"pages":null},"PeriodicalIF":0.7000,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physical Oceanography","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22449/1573-160x-2020-3-317-334","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"OCEANOGRAPHY","Score":null,"Total":0}
引用次数: 1

Abstract

Purpose. The work is aimed at simulating production processes in the bottom phytocenosis typical of the rocky soils in the Crimean coastal zone. The macroalgae uptake of the main nutrients (phosphates, ammonium and nitrates) and release of oxygen and dissolved compounds are planned to be estimated. Methods and Results. The study was based on the balance model of the macroalgae growth and interaction with the environment. The model empirical parameters were determined from the published data of the laboratory experiments. The bottom phytocenosis in the model was represented by seven algae species: Cystoseira barbata, Ulva lactuca, Ceramium tenuicorne, Cladophora glomerata, Polysiphonia nigrescens, Phyllophora truncata, Enteromorpha prolifera. The main simulation results were: annual estimates of the released and absorbed substances, seasonal dynamics of the macroalgae biomass and evaluation of the bottom phytocenosis response to the changing environmental conditions. The rate of the production processes in the model was influenced both by the external (water temperature, insolation and concentration of nutrients in water) and internal (intracellular quotas of nitrogen and phosphorus, and species-specific parameters determining efficiency of nutrient assimilation by the algae tissues) factors. According to the simulation results, the ratio of nitrogen to phosphorus in the algae tissues was significantly higher than that in the seawater and varied from 30 to 60 for different species depending on water temperature, light exposure and concentration of nutrients. Conclusions. During the periods of intensive macroalgae growth (from April to September), the rate of nitrogen and phosphorus uptake can increase by a factor of 1.5 in comparison with the winter period. Maximum contribution to water purification from the surplus nutrients was made by the green algae: Ulva lactuca, Cladophora glomerata and Enteromorpha prolifera. At that Cladophora glomerata has shown the best adaptive abilities (minimal decrease in the growth rate) under a sharp drop of nutrients concentration in water.
克里米亚海岸带底层植物群落模拟
意图这项工作旨在模拟克里米亚沿海地区典型的岩石土壤底部植物群落的生产过程。预计大型藻类对主要营养物质(磷酸盐、铵和硝酸盐)的吸收以及氧气和溶解化合物的释放。方法和结果。该研究基于大型藻类生长和与环境相互作用的平衡模型。模型的经验参数是根据实验室实验的公布数据确定的。该模型中的底部植物群落由七种藻类表示:倒刺囊藻、乳Ulva lactuca、细角Ceramium tenuicone、球藻Cladophora glomerata、黑毛藻Polysivonia nigracens、截叶藻Phyllophora truncata、浒苔Enteromorpa prolifera。主要模拟结果为:释放和吸收物质的年度估计、大型藻类生物量的季节动态以及底部植物群落对环境条件变化的响应评估。模型中的生产过程速率受到外部(水温、日照和水中营养物质浓度)和内部(氮和磷的细胞内配额,以及决定藻类组织吸收营养物质效率的物种特异性参数)因素的影响。根据模拟结果,藻类组织中的氮磷比明显高于海水,不同物种的氮磷比例在30至60之间,具体取决于水温、光照和营养物质浓度。结论。在大型藻类密集生长期间(4月至9月),与冬季相比,氮和磷的吸收率可以增加1.5倍。绿藻(Ulva lactuca)、球藻(Cladophora glomerata)和浒苔(Enteromorpa prolifera)对水净化的贡献最大。在这种情况下,球藻在水中营养物质浓度急剧下降的情况下表现出了最佳的适应能力(生长速度下降幅度最小)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Physical Oceanography
Physical Oceanography OCEANOGRAPHY-
CiteScore
1.80
自引率
25.00%
发文量
8
审稿时长
24 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信