@article{MAKHILLJMMS20137528197,
    title = {A Discrete Mathematical Model for Homogeneous Population Density Dynamics of Single Weed Species},
    journal = {Journal of Modern Mathematics and Statistics},
    volume = {7},
    number = {5},
    pages = {72-76},
    year = {2013},
    issn = {1994-5388},
    doi = {jmmstat.2013.72.76},
    url = {https://makhillpublications.co/view-article.php?issn=1994-5388&doi=jmmstat.2013.72.76},
    author = {Nasir M. and},
    keywords = {Biological process,discrete-time model,local stability,global stability,population density},
    abstract = {In this study, researchers employed the biological process 
  to formulate a discrete-time homogeneous model for the dynamics of weed density 
  interaction through biologically defined states and the mechanism of seedling 
  recruitment incorporating weed reproduction from persistent seed bank within 
  a crop growing season. Researchers obtained its steady-state solutions and analyzed 
  them for local and global stabilities. Researchers discovered that the model 
  is locally asymptotically stable but globally unstable. This result is contrary 
  to the interesting property of the most standard biological one-dimensional 
  discrete models which display global stability if they are locally stable. Although, 
  the model equation falls within the category of population models that exhibit 
  local stability but not globally stable. However, researchers conclude that 
  the weed population may exhibit unexpected behaviours that is the population 
  may not be predictable.}
    }