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Ecology BIOB50 Lecture Notes PDF

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Summary

This document provides an introduction to ecology, covering topics such as the study of interactions between organisms and their environment. The document also includes a discussion of ecological levels of organization and the role of ecological models in the field. It also discusses the role of humans in the environment, specifically including human impact and the Anthropocene.

Full Transcript

# Lec 1 → CH 1 ## What is Ecology? - Ernest Haeckel - Named the term Oekologie mid 1800s ## Ecology - Study of interactions of organisms with the environment that determines their distributions + abundances - Studies: ## Everything in nature is interconnected ## Ecology in the Anthropocene -...

# Lec 1 → CH 1 ## What is Ecology? - Ernest Haeckel - Named the term Oekologie mid 1800s ## Ecology - Study of interactions of organisms with the environment that determines their distributions + abundances - Studies: ## Everything in nature is interconnected ## Ecology in the Anthropocene - The great acceleration - Humans' impact over the past 50 years has changed the course of Earth in many ways some irreversible ## Ecologies have to look at new challenges including - Climate change, land use change, extinction, invasive species, ecosystem homogenization, overexploitation. - The world is changing and these changes will impact both personal and professional aspects ## Levels of organization - Individuals - Populations - same individuals in a specific area - Community - different species interacting in the same area - Ecosystem - community physical environment - Biosphere - all ecosystems ## How do we learn about it 1. Observation + natural history 2. Experimental ecology and Null hypothesis testing 3. Multiple hypothesis testing with best-fit comparisons 4. Ecological modelling ### Observation + natural history - Study of animals, plants, and fungi - Focusing on observation and description - Historical foundation of ecology differing from modern approaches where observations are typically combined with other approaches of scientific analysis - Modern day approaches include focusing on broad ecological patterns combined with other approaches ### Experimental ecology and Null hypothesis testing - Second half of 20th century ecologists began to apply manipulative experiments and statistical hypothesis testing. - Based on observation (either direct or through knowledge from previous work / the literature), propose a question. - Based on your question, propose a null hypothesis (focal factor does not have an effect) and an alternative hypothesis (focal factor has an effect) - Design an experiment that alters/manipulates one or more focal factors (including controls with no manipulation for comparison) and can falsify the null hypothesis (e.g., show that the focal factor(s) do have an effect). - Analyze the data to arrive at results, and then an interpretation for the observations. - Interpretation leads to new questions and the process restarts. - The process is iterative and self-correcting. ### Multiple hypothesis testing with best-fit comparisons - Very difficult to repeat ecological experiments (due to changes in ecosystem over time), conducted logistically (biased towards small species and short timescales), or ethically challenged. - Instead, they use this. - Instead of falsifying a hypothesis for a specific factor having no effect the approach evaluates multiple competing hypotheses for their relative support by data. ### Ecological modelling - Models play a fundamental role in ecology. - Similar to experiments they allow exploring how various factors affect ecological dynamics but without experimental manipulation. - Models can be used in many ways → - understanding the mechanisms that lead to ecological patterns - testing complex hypotheses against data - estimating missing information (e.g., population numbers) - identifying what we don't understand about a system - providing forecasts - How much realism is included in a model depends on its purpose. - Many types are used such as conceptual, mathematical (may be analytical or stimulation-based).

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