Australia's recent commitments to conservation include a pledge to protect 30% of diverse land habitats and the introduction of the Nature Repair Market Bill. Here we explore the concept of nature markets, aiming to financialise the value of the natural world, and outline the complexities, challenges, and philosophical concerns of market-based conservation, while also presenting key ingredients for a functional nature market
A robotics revolution in conservation offers large opportunities to shape a future where conservation efforts become more cost effective, sustainable, and impactful. Failure to seize this chance will see the power of automation harnessed by agricultural interests to potentially opposing goals.
Direct conservation outcomes, such as habitat protection, provide tangible and quantifiable results, whereas indirect efforts concentrate on enhancing ecological knowledge and advocating sustainable practices. Although measuring the impact of indirect initiatives can be complex, it can still contribute to important conservation outcomes.
Is it possible to balance conservation and food production in a way that truly benefits both? In this blog post, I will examine the merits and limitations of some win-win solutions for conservation and farming, highlighting some of the science along the way
Conservation means different things to different people. Differences in personal values underpin an individual’s approach to environmental conservation. So how do we as individuals place different values on the natural world and what are we really trying to protect? Is it just a matter of preserving certain species or habitats, or is there something deeper and more fundamental at stake?
Some quick intuition for Bayesian and frequentist models with some glm examples in R. Using some tricks makes fitting variant models in stand quite simple.
This is the inaugral post of my new personal website in which I present some background on my recent adventures and motivation of learning some basic web development skills.
Bayesian and frequentist approaches to binomial dose responses in R - Part II. LC50s are ubiquitous in dose response modelling, but they are not always easy to estimate. A Bayesian approach can help here.
I have been flip flopping between next-mdx and next-mdx-remote as I build this blog and learn more about Next.js. The process of making a Table of Contents taught me a lot about strengths of both approaches to rendering mdx files with Next.js
Bayesian and frequentist approaches to binomial dose responses in R - Part I. Understanding how an endpoint, like mortality, varies with exposure or dosage is important in many situations. Here we look at two common approaches and their relative benefits.
Population growth - Part III. What happens one one growing population eats another?
Population growth - Part II. Population growth can't go on forever. Here we have a look at how constraints are commonly incorporated into simple population growth models.
Population growth - Part I. Population growth is a fundamental process in ecological modelling. Here I provide some similar derivations with a real world example.