Bird species richness and densities in relation to sulphur dioxide gradients and environmental variables

被引:2
|
作者
Muyemeki, Luckson [1 ]
Burger, Roelof [1 ]
Piketh, Stuart J. [1 ]
Evans, Steven W. [2 ]
机构
[1] North West Univ, Unit Environm Sci & Management Geog & Environm Ma, Potchefstroom, South Africa
[2] Univ Venda, Sch Math & Nat Sci, SARCHI Chair Biodivers Value & Change, Thohoyandou, South Africa
关键词
air pollution; power station; species richness; species-specific density; sulphur dioxide; DISPERSION MODEL; IMAGE TEXTURE; OIL-SPILL; POLLUTION; FORESTS; IMPACT; POPULATION; DIVERSITY; PATTERNS; AERMOD;
D O I
10.2989/00306525.2017.1310144
中图分类号
Q95 [动物学];
学科分类号
071002 ;
摘要
The expansion of coal-fired power stations in South Africa has resulted in growing environmental concerns as they are the largest emitters of sulphur dioxide (SO2). Sulphur dioxide emissions from power plants pose a potential threat to avian populations. However, the effect of SO2 pollution on bird communities is poorly understood. Using point counts we investigated the relationships of bird species richness and species-specific density with SO2 concentrations around Matimba power station. Environmental parameters were derived from remotely sensed data and data reduction was performed using principal component analysis. Generalised linear mixed models were then used to infer the relationships of bird species richness and species-specific densities with SO2 concentrations and the environmental variables. Our results revealed that SO2-polluted air had no influence on bird species richness and densities in our study sites, but SO2 levels were below annual national ambient air quality standards. Vegetation productivity was found to have a greater influence on species densities than SO2 pollution. Monitoring of bird population changes around Matimba power station once neighbouring Medupi power station is fully operational is recommended, as SO2 content of the air will increase significantly, and species may be sensitive to this increase in SO2 levels.
引用
收藏
页码:253 / 259
页数:7
相关论文
共 50 条
  • [1] Modelling the distribution of bird species in Swaziland in relation to environmental variables
    Parker, V
    [J]. OSTRICH, 1996, 67 (3-4) : 105 - 110
  • [2] BREEDING BIRD COMMUNITY DENSITIES AND SPECIES RICHNESS IN LAKES
    NILSSON, SG
    NILSSON, IN
    [J]. OIKOS, 1978, 31 (02) : 214 - 221
  • [3] Amphibian species richness across environmental gradients
    Werner, Earl E.
    Skelly, David K.
    Relyea, Rick A.
    Yurewicz, Kerry L.
    [J]. OIKOS, 2007, 116 (10) : 1697 - 1712
  • [4] Ecological constraints on elevational gradients of bird species richness in Tajikistan
    Dilshod Akhrorov
    Tianlong Cai
    Gang Song
    Ping Fan
    Ahunim Fenitie Abebe
    Peng He
    Fumin Lei
    [J]. Avian Research, 2022, 13 (02) : 183 - 193
  • [5] Ecological constraints on elevational gradients of bird species richness in Tajikistan
    Akhrorov, Dilshod
    Cai, Tianlong
    Song, Gang
    Fan, Ping
    Abebe, Ahunim Fenitie
    He, Peng
    Lei, Fumin
    [J]. AVIAN RESEARCH, 2022, 13
  • [6] BIRD SPECIES RICHNESS IN RELATION TO ISOLATION OF ASPEN HABITATS
    TURCHI, GM
    KENNEDY, PL
    URBAN, D
    HEIN, D
    [J]. WILSON BULLETIN, 1995, 107 (03): : 463 - 474
  • [7] Breeding bird diversity in relation to environmental gradients in China
    Qian, Hong
    Wang, Silong
    Li, Yuanliang
    Wang, Xihua
    [J]. ACTA OECOLOGICA-INTERNATIONAL JOURNAL OF ECOLOGY, 2009, 35 (06): : 819 - 823
  • [9] Tree species diversity in relation to environmental variables and disturbance gradients in a northeastern forest in Bangladesh
    Md Anwar Hossain
    Muha Abdullah Al Pavel
    Kazuhiro Harada
    Carl Beierkuhnlein
    Anke Jentsch
    Mohammad Belal Uddin
    [J]. Journal of Forestry Research, 2019, 30 (06) : 2143 - 2150
  • [10] Tree species diversity in relation to environmental variables and disturbance gradients in a northeastern forest in Bangladesh
    Hossain, Md Anwar
    Al Pavel, Muha Abdullah
    Harada, Kazuhiro
    Beierkuhnlein, Carl
    Jentsch, Anke
    Uddin, Mohammad Belal
    [J]. JOURNAL OF FORESTRY RESEARCH, 2019, 30 (06) : 2143 - 2150