Skip to main content

Rewilding: Paul Jepson and Cain Blythe ****

Those who are enthusiastic about saving the environment often have a mixed relationship with science. They might for example, support organic farming or oppose nuclear power, despite organics having no nutritional benefit and requiring far more land to be used to raise the same amount of crops, while nuclear is a green energy source that should be seen as an essential support to renewables. This same confusion can extend to the concept of rewilding, which is one reason that the subtitle of this book uses the word 'radical'.

As Paul Jepson and Cain Blythe make clear, though, radical change is what is required if we are to encourage ecological recovery. To begin with, we need to provide environments for nature that take in the big picture - thinking not just of individual nature reserves but, for example, of corridors that link areas allowing safe species migration. And we also need to move away from an arbitrary approach to restricting to 'native' species, as sometimes what will enable effective rewilding is to import a large herbivore (often the key to a rewilding scheme) that is similar to an species that used to be native but has now disappeared. It's simply not possible to prissily stick exactly and only to native species - especially as many species (humans included outside of Africa) have over the millennia migrated to many new environments.

Jepson and Blythe describe some remarkable successes, often in the face of resistance from traditional environmental or ecological opinions. There are the headline issues that tend to capture the public's attention, of course, such as wolves taking farmers' livestock, but often the difficulties faced by those who understand that rewilding is a really important step forward come from those who should be celebrating this return to nature in a new and creative way.

Parts of the book work better than others. Some bits feel a little on the stodgy academic writing side, but then we'll get into the story of a particular project and the narrative becomes engaging again. This is in an important topic, often treated as fringe, that deserves more exposure, which this book should provide.

Hardback:    
Kindle 
Using these links earns us commission at no cost to you
Review by Brian Clegg

Comments

Popular posts from this blog

Math for English Majors - Ben Orlin *****

Ben Orlin makes the interesting observation that the majority of people give up on understanding maths at some point, from fractions or algebra all the way through to tensors. At that stage they either give up entirely or operate the maths mechanically without understanding what they are doing. In this light-hearted take, Orlin does a great job of taking on mathematical processes a step at a time, in part making parallels with the structure of language. Many popular maths books shy away from the actual mathematical representations, going instead for verbal approximations. Orlin doesn't do this, but makes use of those linguistic similes and different ways of looking at the processes involved to help understanding. He also includes self-admittedly awful (but entertaining) drawings and stories from his experience as a long-time maths teacher. To make those parallels, Orlin refers to numbers as nouns, operations as verbs (though he points out that there are some flaws in this simile) a

2040 (SF) - Pedro Domingos ****

This is in many ways an excellent SF satire - Pedro Domingos never forgets that part of his job as a fiction writer is to keep the reader engaged with the plot, and it's a fascinating one. There is one fly in the ointment in the form of a step into heavy-handed humour that takes away its believability - satire should push the boundaries but not become totally ludicrous. But because the rest of it is so good, I can forgive it. The setting is the 2040 US presidential election, where one of the candidates is an AI-powered robot. The AI is the important bit - the robot is just there to give it a more human presence. This is a timely idea in its own right, but it gives Domingos an opportunity not just to include some of the limits and possibilities of generative AI, but also to take a poke at the nature of Silicon Valley startups, and of IT mega-companies and their worryingly powerful (and potentially deranged) leaders. Domingos knows his stuff on AI as a professor of computer science w

Shannon Vallor - AI Mirror Interview

Shannon Vallor is the Baillie Gifford Professor in the Ethics of Data and Artificial Intelligence in the Department of Philosophy at the University of Edinburgh, where she directs the Centre for Technomoral Futures in the Edinburgh Futures Institute. She is a Fellow of the Alan Turing Institute and former AI Ethicist at Google. She is the author of  Technology and the Virtues: A Philosophical Guide to a Future Worth Wanting (Oxford, 2016) Her latest book is The AI Mirror How to Reclaim Our Humanity in an Age of Machine Thinking . Why philosophy? I’m a philosopher because there’s no other area of research that investigates what our knowledge rests on, what justifies our beliefs, values, and choices, what legitimizes the power of the institutions and laws that govern us, what we owe to one another, and how we ought to live in order to flourish together. I have a hard time imagining more important questions to ask right now. Why this book? I’ve been writing about the ethics of artificial