Using non-linear responses of multiple taxonomic groups to establish criteria indicative of wetland biological condition

被引:0
|
作者
Vanessa L. Lougheed
Christian A. Parker
R. Jan Stevenson
机构
[1] University of Texas at El Paso,Department of Biological Sciences
[2] Michigan State University,Department of Zoology
来源
Wetlands | 2007年 / 27卷
关键词
biological assessment; biological condition gradient; biotic index; criteria; diatoms; ecological thresholds; macrophytes; nutrient criteria; wetlands; zooplankton;
D O I
暂无
中图分类号
学科分类号
摘要
Establishing criteria for protecting or improving wetland condition has often focused on physical and chemical factors, which can paint an incomplete picture of wetland quality. To protect the biological integrity of aquatic environments, identifying criteria based on biological responses to pollution is essential. We hypothesize that assessment of multiple taxonomic groups and response thresholds will provide statistically defensible effects-based methods to define reference condition and establish biological criteria. We used regression tree analysis to identify non-linear biological responses of three taxonomic groups (macrophytes, epiphytic diatoms, and plant-associated Zooplankton) collected from 36 depressional wetlands in the Muskegon River watershed (Michigan, USA). Multi-metric biotic indices were developed for all three taxonomic groups and these indices were combined to reveal biologically relevant thresholds along a gradient of human disturbance. We found these three taxonomic groups responded at similar levels of impairment and could be used to classify wetlands into three groups: reference sites representing the highest quality wetlands in the landscape; slightly altered sites where the most sensitive organisms responded (sensitive plants, diatoms); and degraded sites where extensive changes in community structure occurred, which may reflect a shift to an alternate state. For the Muskegon River watershed, in particular, this analysis allowed us to identify sites in need of restoration, including approximately one-third of the depressional wetlands in the watershed. This study outlines a method for identifying criteria that could be used for regulatory purposes. In particular, we recommend the use of community-level metrics in identifying broad-based changes in community composition that may represent shifts to alternate states, as well as the use of sensitive indicators, such as the occurrence of sensitive plant and diatom taxa.
引用
收藏
页码:96 / 109
页数:13
相关论文
共 50 条
  • [41] Multiple-fault detecting study for non-linear system using neural networks
    Zhu, RJ
    Shen, YX
    Ji, ZC
    [J]. DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES A-MATHEMATICAL ANALYSIS, 2006, 13 : 2070 - 2077
  • [42] Indirect adaptive control of non-linear systems using multiple identification models and switching
    Cezayirli, Ahmet
    Ciliz, M. Kemal
    [J]. INTERNATIONAL JOURNAL OF CONTROL, 2008, 81 (09) : 1434 - 1450
  • [43] Learning Multiple Non-Linear Sub-Spaces using K-RBMs
    Chandra, Siddhartha
    Kumar, Shailesh
    Jawahar, C. V.
    [J]. 2013 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2013, : 2778 - 2785
  • [44] Dynamic analysis of harmonically excited non-linear system using multiple scales method
    Moon, BY
    Kang, BS
    [J]. KSME INTERNATIONAL JOURNAL, 2002, 16 (06): : 819 - 828
  • [45] The effect of breed and parity on curves of body condition during lactation estimated using a non-linear function
    Friggens, N. C.
    Badsberg, J. H.
    [J]. ANIMAL, 2007, 1 (04) : 565 - 574
  • [46] Non-linear feeding functional responses in the Greater Flamingo (Phoenicopterus roseus) predict immediate negative impact of wetland degradation on this flagship species
    Deville, Anne-Sophie
    Gremillet, David
    Gauthier-Clerc, Michel
    Guillemain, Matthieu
    Von Houwald, Friederike
    Gardelli, Bruno
    Bechet, Arnaud
    [J]. ECOLOGY AND EVOLUTION, 2013, 3 (05): : 1413 - 1425
  • [47] Multiple Physiological Signal-Based Human Stress Identification Using Non-Linear Classifiers
    Karthikeyan, P.
    Murugappan, M.
    Yaacob, S.
    [J]. ELEKTRONIKA IR ELEKTROTECHNIKA, 2013, 19 (07) : 80 - 85
  • [48] An Efficient Solution to a Multiple Non-Linear Regression Model with Interaction Effect using TORA and LINDO
    Gupta, Umesh
    Hada, Devender Singh
    Mathur, Ankita
    [J]. PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON SOFT COMPUTING FOR PROBLEM SOLVING (SOCPROS 2012), 2014, 236 : 345 - 351
  • [49] Foetal ECG extraction using non-linear adaptive noise canceller with multiple primary channels
    Ma, Yaping
    Xiao, Yegui
    Wei, Guo
    Sun, Jinwei
    [J]. IET SIGNAL PROCESSING, 2018, 12 (02) : 219 - 227
  • [50] Bayesian estimation of non-linear centroid moment tensors using multiple seismic data sets
    Hamidbeygi, Mahdi
    Vasyura-Bathke, Hannes
    Dettmer, Jan
    Eaton, David W.
    Dosso, Stan E.
    [J]. GEOPHYSICAL JOURNAL INTERNATIONAL, 2023, 235 (03) : 2948 - 2961