• Title of article

    Environmental and management factors that influence drainage water P loads from Everglades Agricultural Area farms of South Florida

  • Author/Authors

    Timothy A. Lang، نويسنده , , Olawale Oladeji، نويسنده , , Manohardeep Josan، نويسنده , , Samira Daroub، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2010
  • Pages
    11
  • From page
    170
  • To page
    180
  • Abstract
    Environmental impacts from drainage water phosphorus (P) loads from Everglades Agricultural Area (EAA) farms in South Florida led to the adoption of best management practices (BMPs). The BMPs have been very successful at reducing EAA farm drainage water P loads. However, analytical investigation into how environmental and management factors affect farm P loading may allow additional improvements in BMP performance. Sixteen variables that included cropping systems, water management, and farm specific constants were hypothesized to affect farm P loads. Data collected from ten farms between 1992 and 2002 were analyzed using Spearman correlation, Principal Component Analysis, and stepwise multivariate regression. Monthly farm P load on a unit area basis (UAL) showed stronger correlation with drainage unit area volume (UAV) than with flow weighted total P concentration (FWTP). The UAL was negatively correlated with irrigation demand and positively correlated with irrigation P concentration, rainfall, preceding monthʹs rain, drainage pumping to rainfall ratio, and percent fallow plus flooded field acreage (PFFA). A positive correlation between soil depth and FWTP was significant. Stepwise regression analysis identified canal water level management, percent sugarcane acreage, PFFA, and irrigation water P concentration as explanatory variables that impact farm P loads; PCA revealed similar results. The study suggests that lower pumping to rainfall ratio and increased sugarcane acreage lead to lower farm P loads; that irrigation water P concentration impacts farm P loads; and that shallower soils export less P than deeper soils.
  • Keywords
    Multiple linear regression , Phosphorus load , Agricultural runoff , Histosol , Principal component analysis , Best management practice
  • Journal title
    Agriculture Ecosystems and Environment
  • Serial Year
    2010
  • Journal title
    Agriculture Ecosystems and Environment
  • Record number

    1285414