@article{1451503,
      recid = {1451503},
      author = {Seno, Hiromi.},
      title = {A primer on population dynamics modeling : basic ideas for  mathematical formulation /},
      publisher = {Springer,},
      address = {Singapore :},
      pages = {1 online resource (470 p.).},
      year = {2022},
      abstract = {This textbook provides an introduction to the mathematical  models of population dynamics in mathematical biology. The  focus of this book is on the biological meaning/translation  of mathematical structures in mathematical models, rather  than simply explaining mathematical details and literacies  to analyze a model. In some recent usages of the  mathematical model simply with computer numerical  calculations, the model includes some inappropriate  mathematical structure concerning the reasonability of  modeling for the biological problem under investigation.  For students and researchers who study or use mathematical  models, it is important and helpful to understand what  mathematical setup could be regarded as reasonable for the  model with respect to the relation between the biological  factors involved in the assumptions and the mathematical  structure of the model. Topics covered in this book are;  modeling with geometric progression, density effect in  population dynamics, deriving continuous time models from  discrete time models, basic modeling for birth-death  stochastic processes, continuous time models, modeling  interspecific reaction for the continuous time population  dynamics model, competition and prey-predator dynamics,  modeling for population dynamics with a heterogeneous  structure of population, qualitative analysis on the  discrete time dynamical system, necessary knowledge about  fundamental mathematical theories to understand the  dynamical nature of continuous time models. The book  includes popular topics in ecology and mathematical  biology, as well as classic theoretical topics. By  understanding the biological meaning of modeling for simple  models, readers will be able to derive a specific  mathematical model for a biological problem by reasonable  modeling. The contents of this book is made accessible for  readers without strong Mathematical background.},
      url = {http://library.usi.edu/record/1451503},
      doi = {https://doi.org/10.1007/978-981-19-6016-1},
}