Ecology & Conservation Biology
Conservation Biology is a branch of Ecology that is dedicated to protection and management of species and their habitats. Our services in Ecology and Conservation Biology include: Training Courses, Project Workshops, and Data Analysis. Our books include quantitative ecology, community ecology, and general data science using Excel and R: the statistical programming language.
Our Training Courses include general Data Analytics as well as those aimed more explicitly at Ecology and Conservation Biology. Training Courses can be tailored to produce bespoke training that can cover a range of topics in Conservation and Ecology, such as:
- Ecological Species Diversity.
- Predictive Analysis.
- Community Ecology.
- Multivariate Analysis (Ordination).
Our Project Workshops for Ecology and Conservation Biology are a data-led approach to training. Improve your data interpretation and data analytics skills with topics that can include:
- Biological Recording.
- Mapping Species Distribution.
- Understanding Species Habitat Requirements.
Our Books cover various aspects of Data Analytics, and include general texts on Excel and R: The Statistical Programming Language, as well as more specific topics in Statistics for Ecologists and Community Ecology.
Fundamentals of Conservation Biology
Fundamentals of Conservation Biology involve the understanding of species and their habitat requirements. The fundamentals of conservation biology include:
- Species Identification.
- Biological Recording.
- Species Distribution and Mapping.
- Understanding species habitat requirements.
- Habitat assessment.
These fundamentals of conservation biology could be summed up as; needing to know what species you have and what their needs are. There are two main branches of conservation biology:
- Species Conservation.
- Habitat Conservation.
Species conservation involves the identification and recording of species, and an understanding of their habitat requirements. Habitat conservation involves an understanding of the species that thrive in that habitat, and how to best maintain the habitat in optimal condition. Data Analytics are helpful in many ways, including: species distribution and mapping, and understanding species habitat requirements.
Our services in Conservation Biology include: Data Analytics Training Courses, Project Workshops, and Data Analysis. Our books include quantitative ecology, community ecology, and general data science using Excel and R: the statistical programming language.
Ecological Diversity explores the number of different biological species in defined areas or habitats, as well as their relative abundance. Ecological Diversity is especially important in Conservation Biology. There are various methods of data analysis associated with ecological diversity, including:
- Species Richness: how many different species in a defined area.
- Diversity Indices: takes into account relative abundance.
- Beta Diversity: a measure of diversity between habitats.
- Similarity (and dissimilarity): compositional comparison between communities.
These are all topics covered in our Training Courses, Project Workshops and Books.
Biological Recording is an important element of Conservation biology, and can be summed up as: “Who, What, Where, When”.
- Who: knowing the recorder can help verify the “accuracy” of the record.
- What: the identification of the species is important.
- Where: the location is vital so the distribution can be mapped and monitored.
- When: the date of the record allows monitoring of species distribution over time.
Biological Recording is a key aspect of Conservation Biology. Data Analytics are important in helping to manage and maintain biological records, as well as providing tools for monitoring and mapping species distribution and understanding species habitat requirements.
Mapping species distribution
Mapping species distribution is a key element of Conservation Biology. It is important to know where species are now, as well as in the past, so that you can monitor changes in species distribution.
Biological Records and species identification skills are important in the process of mapping species distribution, and thus targeting conservation efforts more efficiently. Mapping species distribution can also help with understanding of species habitat requirements.
Data Analytics can be used to help with mapping processes as well as providing other insights into species distribution and habitat requirement, through predictive modelling and machine learning for example.
Understanding species habitat requirements
Understanding species habitat requirements is an important aspect of Conservation Biology. Data Analytics can help with understanding species habitat requirements in various ways, such as:
- Mapping species distribution.
- Biological Recording.
- Predictive Analysis and Machine Learning.
- Multivariate analysis (Ordination).
Understanding species habitat requirements involves exploring environmental variables (abiotic), as well as biotic ones. Species do not live in isolation, and so ecological diversity and community ecology become important aspects to investigate. Species with similar habitat requirements will tend to live together in ecological communities, so conservation of habitat is vital.
Conservation Biology Data Analytics Books
Our Books on Data Analytics include many topics useful for Conservation Biology. The books include subjects such as: quantitative ecology, community ecology, and general data analytics using Excel and R: the statistical programming language.
The R program is a powerful and flexible Open Source statistical environment. The R program is used widely by Universities and Professionals for many tasks in Data Analytics, including: data visualisation, predictive analysis, machine learning, and statistical hypothesis testing.
Understanding species habitat requirements is an important element of Conservation Biology and our books include methods of data analytics that can prove useful, such as predictive analysis and machine learning. Conservation Biology is often closely linked to Ecological diversity, which is introduced in our book Statistics for Ecologists and covered in more detail in our book Community Ecology.
Conservation Biology needs Data Analytics to help with Biological Recording, mapping species distribution, understanding species habitat requirements, and analysis of ecological diversity. Our books provide insight into many of the data analytics tools helpful to conservation biologists.
Conservation Biology Data Analytics Courses and Workshops
We provide Data Analytics Training Courses and Project Workshops for Conservation Biology, as well as ecology, and environmental science.
Our Training Courses in Data Analytics include a range of topics helpful in Conservation Biology, including: data visualisation, predictive analysis, machine learning, statistical hypothesis testing, and R programming. We can also tailor our training courses to produce bespoke training in conservation biology data analysis to best suit your requirements.
Ecological and Conservation data Project Workshops help improve your data interpretation and data analysis skills. Project Workshops are a data-driven approach to data analytics for Ecology, Conservation Biology & Environmental Science.
Project Workshops in Data Analytics for Conservation Biology are focussed on the topics that you need, including:
- Biological Records.
- Data cleaning and validation.
- Data visualisation.
- Predictive analysis and machine learning.
Project Workshops can utilise your own data, giving you the skills you need to complete your current project as well as future ones.
Training courses and project workshops are held in the UK or online.