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Empirical modelling of submersed macrophytes in Yangtze lakes
Wang, HZ; Wang, HJ; Liang, XM; Ni, LY; Liu, XQ; Cui, YD; Wang, HZ, Chinese Acad Sci, Inst Hydrobiol, State Key Lab Freshwater Ecol & Biotechnol, Wuhan 430072, Peoples R China
2005-11-10
Source PublicationECOLOGICAL MODELLING
ISSN0304-3800
Volume188Issue:2-4Pages:483-491
AbstractSubmersed macrophytes in Yangtze lakes have experienced large-scale declines due to the increasing human activities during past decades. To seek the key factor that affects their growth, monthly investigations of submersed macrophytes were conducted in 20 regions of four Yangtze lakes during December, 2001-March, 2003. Analyses based on annual values show that the ratio of Secchi depth to mean depth is the key factor (50% of macrophyte biomass variability among these lakes is statistically explained). Further analyses also demonstrate that the months from March to June are not only the actively growing season for most macrophytes, but the key time the factor acts. Five key-time models yielding higher predictive power (r(2) reaches 0.75,0.76,0.77,0.69 and 0.81) are generated. A comparison between key-time models and traditional synchronic ones indicates that key-time models have higher predictive power. Analyses of transparency thresholds during macrophyte growing season and the limitations of the models are presented. The models and other results may benefit the work concerning submersed macrophyte recovery in Yangtze lakes. (c) 2005 Elsevier B.V. All rights reserved.; Submersed macrophytes in Yangtze lakes have experienced large-scale declines due to the increasing human activities during past decades. To seek the key factor that affects their growth, monthly investigations of submersed macrophytes were conducted in 20 regions of four Yangtze lakes during December, 2001-March, 2003. Analyses based on annual values show that the ratio of Secchi depth to mean depth is the key factor (50% of macrophyte biomass variability among these lakes is statistically explained). Further analyses also demonstrate that the months from March to June are not only the actively growing season for most macrophytes, but the key time the factor acts. Five key-time models yielding higher predictive power (r(2) reaches 0.75,0.76,0.77,0.69 and 0.81) are generated. A comparison between key-time models and traditional synchronic ones indicates that key-time models have higher predictive power. Analyses of transparency thresholds during macrophyte growing season and the limitations of the models are presented. The models and other results may benefit the work concerning submersed macrophyte recovery in Yangtze lakes. (c) 2005 Elsevier B.V. All rights reserved.
SubtypeArticle
KeywordKey-time Models Submersed Macrophytes Yangtze Shallow Lakes Biomass Transparency Thresholds
DepartmentChinese Acad Sci, Inst Hydrobiol, State Key Lab Freshwater Ecol & Biotechnol, Wuhan 430072, Peoples R China; Chinese Acad Sci, Grad Sch, Beijing, Peoples R China
Subject AreaEcology
DOI10.1016/j.ecolmodel.2005.02.006
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
Indexed BySCI
Language英语
WOS Research AreaEnvironmental Sciences & Ecology
WOS SubjectEcology
WOS IDWOS:000233188700019
WOS KeywordWATER TRANSPARENCY ; SIMULATION-MODEL ; BIOMASS ; COMMUNITIES ; VEGETATION ; DYNAMICS ; PATTERNS ; COVER ; DEPTH ; STATE
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Document Type期刊论文
Identifierhttp://ir.ihb.ac.cn/handle/152342/9110
Collection期刊论文
Corresponding AuthorWang, HZ, Chinese Acad Sci, Inst Hydrobiol, State Key Lab Freshwater Ecol & Biotechnol, Wuhan 430072, Peoples R China
Affiliation1.Chinese Acad Sci, Inst Hydrobiol, State Key Lab Freshwater Ecol & Biotechnol, Wuhan 430072, Peoples R China
2.Chinese Acad Sci, Grad Sch, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Wang, HZ,Wang, HJ,Liang, XM,et al. Empirical modelling of submersed macrophytes in Yangtze lakes[J]. ECOLOGICAL MODELLING,2005,188(2-4):483-491.
APA Wang, HZ.,Wang, HJ.,Liang, XM.,Ni, LY.,Liu, XQ.,...&Wang, HZ, Chinese Acad Sci, Inst Hydrobiol, State Key Lab Freshwater Ecol & Biotechnol, Wuhan 430072, Peoples R China.(2005).Empirical modelling of submersed macrophytes in Yangtze lakes.ECOLOGICAL MODELLING,188(2-4),483-491.
MLA Wang, HZ,et al."Empirical modelling of submersed macrophytes in Yangtze lakes".ECOLOGICAL MODELLING 188.2-4(2005):483-491.
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