Chapter 14 A framework for analyzing growth, competition, and environmental impacts: A forest population dynamics through modelling
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Sandhya Mangla
Abstract
Modeling of forest populations involves the use of mathematical techniques and frameworks to simulate, analyze, and predict the dynamics of forest ecosystems. This modeling approach helps in understanding the complex interactions between various biological, environmental, and anthropogenic factors that influence forest growth, species diversity, and population changes. Key aspects include modeling tree population dynamics, species competition, predator–prey relationships, and resource allocation within the forest. Models often incorporate differential equations, stochastic processes, and agent-based simulations to represent growth rates, mortality, reproduction, and migration patterns. These models serve as crucial tools for forest management, conservation efforts, and predicting the impacts of climate change, deforestation, and human activities on forest ecosystems. By providing quantitative insights, mathematical models help policymakers and environmentalists make informed decisions to preserve and restore forests, ensuring biodiversity and ecosystem sustainability.
Abstract
Modeling of forest populations involves the use of mathematical techniques and frameworks to simulate, analyze, and predict the dynamics of forest ecosystems. This modeling approach helps in understanding the complex interactions between various biological, environmental, and anthropogenic factors that influence forest growth, species diversity, and population changes. Key aspects include modeling tree population dynamics, species competition, predator–prey relationships, and resource allocation within the forest. Models often incorporate differential equations, stochastic processes, and agent-based simulations to represent growth rates, mortality, reproduction, and migration patterns. These models serve as crucial tools for forest management, conservation efforts, and predicting the impacts of climate change, deforestation, and human activities on forest ecosystems. By providing quantitative insights, mathematical models help policymakers and environmentalists make informed decisions to preserve and restore forests, ensuring biodiversity and ecosystem sustainability.
Chapters in this book
- Frontmatter I
- About the series V
- Contents VII
- List of contributing authors IX
- Chapter 1 Introduction to green chemistry and sustainable materials 1
- Chapter 2 Methods for synthesizing green materials 21
- Chapter 3 The role of solvents and catalysts in green chemistry 55
- Chapter 4 Overview of biopolymers for sustainable environment 97
- Chapter 5 Integrated technologies for environmental remediation by using green materials 117
- Chapter 6 Plastic waste management: a sustainable practice for green future 145
- Chapter 7 Data-driven approaches for aligning nanopackaging innovations with Sustainable Development Goals (SDGs) 167
- Chapter 8 Value-added materials: Solar energy applications 203
- Chapter 9 Case studies demonstrating sustainable development for green chemistry approaches 219
- Chapter 10 Latest technologies and future perspectives in green materials 257
- Chapter 11 Greener approach for next generation materials: Biofuel, biorefinery 283
- Chapter 12 Utilization of fly ash for a sustainable environment: Innovations in waste management, construction, and renewable energy applications 299
- Chapter 13 Environmental risk assessment of green material: A circular economy approach 321
- Chapter 14 A framework for analyzing growth, competition, and environmental impacts: A forest population dynamics through modelling 345
- Index
- De Gruyter Series in Green Chemical Processing
Chapters in this book
- Frontmatter I
- About the series V
- Contents VII
- List of contributing authors IX
- Chapter 1 Introduction to green chemistry and sustainable materials 1
- Chapter 2 Methods for synthesizing green materials 21
- Chapter 3 The role of solvents and catalysts in green chemistry 55
- Chapter 4 Overview of biopolymers for sustainable environment 97
- Chapter 5 Integrated technologies for environmental remediation by using green materials 117
- Chapter 6 Plastic waste management: a sustainable practice for green future 145
- Chapter 7 Data-driven approaches for aligning nanopackaging innovations with Sustainable Development Goals (SDGs) 167
- Chapter 8 Value-added materials: Solar energy applications 203
- Chapter 9 Case studies demonstrating sustainable development for green chemistry approaches 219
- Chapter 10 Latest technologies and future perspectives in green materials 257
- Chapter 11 Greener approach for next generation materials: Biofuel, biorefinery 283
- Chapter 12 Utilization of fly ash for a sustainable environment: Innovations in waste management, construction, and renewable energy applications 299
- Chapter 13 Environmental risk assessment of green material: A circular economy approach 321
- Chapter 14 A framework for analyzing growth, competition, and environmental impacts: A forest population dynamics through modelling 345
- Index
- De Gruyter Series in Green Chemical Processing
