You might also like

More about Ecological and Evolutionary Modelling

• Book details
• Synopsis
• Trending among others

You get 162 loyalty points

Book synopsis

Ecology studies biodiversity in its variety and complexity. It describes how species distribute and perform in response to environmental changes. Ecological processes and structures are highly complex and adaptive. In order to quantify emerging ecological patterns and investigate their hidden mechanisms, we need to rely on the simplicity of mathematical language. Ecological patterns are emerging structures observed in populations, communities and ecosystems. Elucidating drivers behind ecological patterns can greatly improve our knowledge on how ecosystems assemble, function and respond to change and perturbation. Mathematical ecology has, thus, become an important interdisciplinary research field that can provide answers to complex issues from global changes such as issues related to climate change and biological invasions. The aim of this book is to (i) introduce key concepts in ecology and evolution, (ii) explain classic and recent important mathematical models for investigating ecological and evolutionary dynamics, and (iii) provide real examples in ecology/biology/environmental sciences that have used these models to address relevant issues. Readers are exposed to the key concepts, frameworks, and terminology in the studies of ecology and evolution, which will enable them to ask the correct and relevant research questions, and frame the questions using appropriate mathematical models.

Book details

Book category Books in English Mathematics & science Mathematics Optimization

• Full title: Ecological and Evolutionary Modelling
• Author: Cang Hui, Pietro Landi, Henintsoa Onivola Minoarivelo, Andriamihaja Ramanantoanina
• Language: English
• Binding: Paperback
• Number of pages: 86
• EAN: 9783319921495
• ISBN: 3319921495
• ID: 19381915
• Publisher: Springer International Publishing AG
• Weight: 163 g
• Dimensions: 235 × 155 × 6 mm
• Date of publishing: 27. June 2018

Trending among others

---

---

---