Population growth and Deforestation: A critical and complex relationship

Population growth and Deforestation: A critical and complex relationship

Registration ID: IJNRD_205338

Published ID: IJNRD1610004

DOI: Click Here to Get

Dr. P. Sujatha

Population growth, policy development and Deforestation

This research paper explores the intricate interplay between population growth and deforestation, two global challenges of paramount importance in the 21st century. The exponential increase in human population has exerted immense pressure on forest ecosystems, leading to accelerated deforestation rates worldwide. Through an extensive review of existing literature, this paper analyzes the multifaceted dynamics that underlie this critical relationship. The literature review reveals that the link between population growth and deforestation is not solely a unidirectional cause-and-effect relationship. Rather, it is a complex web of interactions influenced by socio-economic, political, and environmental factors. Factors such as land-use policies, agricultural practices, and urbanization patterns play pivotal roles in shaping the extent and impact of deforestation caused by population growth. Furthermore, the paper examines the ecological consequences of deforestation, including habitat loss, biodiversity decline, and climate change implications. It also delves into the social and economic ramifications, such as displacement of indigenous communities, loss of ecosystem services, and challenges to sustainable resource management. In light of the complexities surrounding population growth and deforestation, this research paper underscores the urgent need for holistic and context-specific approaches to address this global issue. It highlights the importance of comprehensive policies that consider not only population control but also sustainable land use, reforestation efforts, and community engagement as essential components of mitigating deforestation. By shedding light on the intricate relationship between population growth and deforestation, this paper contributes to a deeper understanding of the challenges at hand and provides a foundation for informed decision-making and policy development. It calls for interdisciplinary collaboration and innovative solutions to navigate the critical and complex path toward a more sustainable coexistence between human populations and forest ecosystems.

Published Paper   E-Certificate

"Population growth and Deforestation: A critical and complex relationship", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.1, Issue 1, page no.19-26, October-2016, Available :https://ijnrd.org/papers/IJNRD1610004.pdf

Volume 1 Issue 1, October-2016

Pages : 19-26

Paper Reg. ID: IJNRD_205338

Published Paper Id: IJNRD1610004

Downloads: 000121372

Research Area: Engineering

Country: -, -, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD1610004.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD1610004

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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