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Natural Resources Manager

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March 29, 2024 Updated May 12, 2025 17 minute read

A Career Guide to Natural Resources Management

Natural Resources Managers play a crucial role in overseeing the responsible use and conservation of our planet's valuable assets, such as land, water, forests, minerals, and wildlife. They work at the intersection of science, policy, and community engagement, striving to balance human needs with the long-term health and sustainability of ecosystems. This complex field requires a deep understanding of environmental science, economics, law, and social dynamics.

Embarking on a career in natural resources management can be incredibly rewarding. It offers the chance to make a tangible difference in protecting the environment for future generations. Professionals in this field often find satisfaction in solving complex problems, collaborating with diverse groups of people, and spending time working directly within the natural landscapes they strive to protect. The dynamic nature of environmental challenges also ensures a career filled with continuous learning and adaptation.

Introduction to the Field

What Does a Natural Resources Manager Do?

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Salaries for Natural Resources Manager

City
Median
New York
$116,000
San Francisco
$146,000
Seattle
$121,000
See all salaries
City
Median
New York
$116,000
San Francisco
$146,000
Seattle
$121,000
Austin
$114,000
Toronto
$93,000
London
£97,000
Paris
€42,000
Berlin
€62,000
Tel Aviv
₪760,000
Singapore
S$165,000
Beijing
¥163,000
Shanghai
¥152,000
Shenzhen
¥264,000
Bengalaru
₹304,000
Delhi
₹492,000
Bars indicate relevance. All salaries presented are estimates. Completion of this course does not guarantee or imply job placement or career outcomes.

Path to Natural Resources Manager

Take the first step.
We've curated 24 courses to help you on your path to Natural Resources Manager. Use these to develop your skills, build background knowledge, and put what you learn to practice.
Sorted from most relevant to least relevant:

Reading list

We've selected some books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Natural Resources Manager.
Provides a comprehensive overview of the fundamentals of surveying and leveling, including topics such as measurement, leveling, triangulation, and mapping. It valuable resource for students and practicing surveyors alike.
Provides a comprehensive overview of the fundamentals of surveying, including topics such as measurement, leveling, triangulation, and mapping. It valuable resource for students and practicing surveyors alike.
Offers a comprehensive tour of Google Earth Engine (GEE), suitable for both beginners and advanced users. It covers fundamental concepts and diverse applications of GEE in remote sensing. The book is structured with labs and application chapters, making it a valuable resource for hands-on learning and understanding how GEE is used in real-world scenarios. It is commonly used as a textbook in academic settings.
This comprehensive textbook covers the fundamentals of geospatial analysis, including data acquisition, data management, data analysis, and data visualization. It valuable resource for students and professionals in the field.
Focuses on using the Google Earth Engine Python API with the geemap package, which is highly relevant given the course context mentioning the Python API. It takes a hands-on approach to interactive mapping, data visualization, and analysis within a Jupyter environment. This is an excellent resource for those looking to leverage Python for GEE workflows and is suitable for students, researchers, and data scientists.
This handbook provides a strong foundation for understanding EIA practice, outlining different types of assessment and guiding best practice. It covers contemporary issues through a research and practice-based approach with contributions from prominent researchers and practitioners. It's essential for students, scholars, and practitioners.
This internationally oriented book provides a comprehensive guide to the methods used in both environmental and social impact assessment. It includes new chapters on emerging topics like climate change, ecosystem services, and cumulative effects, making it invaluable for students and practitioners seeking to update their skills.
Integrates environmental and social impact assessment, recognizing their interconnectedness. It provides a comprehensive overview of the combined field, which is increasingly the practice in many parts of the world. It valuable resource for understanding the holistic nature of impact assessment.
Offers an up-to-date exploration of the theory and practice of EIA, focusing on key concepts, principles, methodologies, recent developments, and emerging trends. It's suitable for those who want to deepen their understanding of EIA beyond the introductory level and is relevant for students, scholars, and practitioners.
This handbook offers a practical guide to the requirements and procedures of EIA, particularly in the UK context, while also presenting principles applicable internationally. It's useful for practitioners and students needing a step-by-step understanding of the EIA process and associated studies.
Focuses on applying deep learning techniques to remote sensing images using open-source software. It provides practical examples and links theory to practice, which is valuable for those looking to implement advanced image analysis workflows in conjunction with GEE.
This handbook is an essential guide to the concepts, debates, and practices in cumulative impact assessment (CIA). It strengthens the foundations of this challenging field with international perspectives and case examples, covering both biophysical and social impacts at various levels.
Focuses on applying best professional practices in EIA, covering various types of assessments including cumulative impact, greenhouse gas emissions, risk assessment, and social impact assessment. It provides practical direction for developing defensible analyses and is valuable for practitioners and decision-makers.
Explores the use of geospatial technologies to address environmental issues. It covers a wide range of topics, from land use planning and water resource management to climate change adaptation.
Explores the power of hope in the face of adversity. It timely and important read that will help you to stay motivated and hopeful in the face of the challenges facing our planet.
Focuses on the theory and practice of topographic surveying, including topics such as elevation measurements, contour mapping, and terrain modeling. It valuable resource for students and practicing surveyors alike.
Explores the use of geospatial analysis in business and marketing. It covers a wide range of topics, from site selection and market analysis to customer segmentation and campaign planning.
Provides a comprehensive overview of the fundamentals of geodesy, including topics such as the Earth's shape, size, and gravity field. It valuable resource for students and practicing surveyors alike.
This authoritative handbook surveys the field of Strategic Environmental Assessment (SEA), a related but distinct area from project-level EIA. It covers theoretical, methodological, and institutional dimensions with international perspectives and case studies. It's essential for those interested in the application of environmental assessment at policy, plan, and program levels.
Provides a comprehensive overview of LiDAR technology, including topics such as LiDAR sensors, data collection, and processing. It valuable resource for students and practicing surveyors alike.
While not exclusively about Google Earth Engine, this book is highly relevant as it teaches the fundamentals of using Python for geospatial data processing with open-source tools. Since GEE has a strong Python API, a solid understanding of geospatial programming with Python is crucial. provides the necessary background in handling vector and raster data programmatically.
Provides a comprehensive review of SEA theory and practice, promoting a systematic approach to its application. It covers the process, methods, and techniques of SEA with international case studies and is suitable for a wide audience including students, professionals, and academics.
Delves into the legal aspects of EIA, examining challenges and opportunities in implementing EIA legislation across different jurisdictions. It provides insights into the regulatory frameworks governing EIA and is particularly useful for those interested in the legal and policy dimensions of the field.
Provides a theoretical and practical foundation in geospatial data analysis using Python. It covers various tools and techniques for location intelligence, which are applicable when working with geospatial data from platforms like GEE. It helps solidify the understanding of geospatial concepts within a programming context.
Focuses on performing geospatial modeling and GIS analysis using Python. It introduces key GIS concepts and processes, which are essential for effectively utilizing GEE. The book provides practical techniques for working with geospatial data and remote sensing, directly supporting GEE applications.
Aims to cover EIA according to new knowledge and experiences, focusing on its role in sustainable development. It discusses basic principles, salient features, and the importance of Environmental Management Plans (EMP). It offers a perspective on EIA in the context of economic development and potential weaknesses in the process.
Covers the theory and practice of spatial data analysis. Understanding spatial statistics and analytical methods is crucial for performing meaningful analysis on geospatial data within GEE. It provides a solid theoretical foundation for many GEE applications.
Provides a thorough examination of integrated environmental modelling and frameworks for Cumulative Effects Assessment (CEA). It explores the interactions between environmental components and reviews modelling approaches, offering insights into complex environmental problems and future research avenues for CEA.
Another strong foundational text in GIS, covering the basic principles, concepts, and applications. is suitable for beginners and provides the necessary background for understanding spatial data structures and operations used in GEE. It is widely used in academic settings.
While not geospatial-specific, this book fundamental resource for anyone using Python for data analysis. It covers essential libraries like pandas and NumPy, which are often used in conjunction with the GEE Python API for data manipulation and analysis. A strong foundation in Python data analysis is highly beneficial for GEE users.
While an older publication, this book provides a foundational understanding of EIA and its crucial role in decision-making. It examines procedures, how to write an environmental impact statement, and ways to minimize disputes. It offers a historical perspective and international context.
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