The world is facing a wave of populism and hyperbole, where honest discourse is less important than winning. In this post-truth world, the end justifies the means. If biodiversity conservation is a mission-driven discipline aimed at stopping the loss of species and ecosystems, should it also embrace questionable tactics?
Over the weekend, Joern Fischer wrote a criticism of transdisciplinary research. I was very eager to read it because it is something I have been wondering about over the last few months too. I began commenting on his blog, but, as my comment grew longer, I thought it is perhaps a better idea to flesh out my thoughts into a full post. Overall, I agree with Joern’s misgivings, but I would go even further to suggest that he was perhaps too forgiving towards transdisciplinary research.
I’m excited to announce the launch of my latest pet-project, Startup for Nature, a website aimed at promoting entrepreneurial approaches to conserving nature.
Regular readers know that I believe we need more entrepreneurship in conservation. That’s why I set up a website devoted to answering some common questions about conservation entrepreneurship and showcasing some of the most innovative conservation startups.
If Startup for Nature encourages just one aspiring entrepreneur to launch their own conservation venture, then I’ll consider it successful. But to do this, it must first reach the right audience with the most engaging content.
Here’s the part where I ask for your help.
You can help Startup for Nature create a sub-culture of entrepreneurship amongst conservationists. Here’s how:
- Click through to Startup for Nature. Browse around and let me know if there is anything you’d like to see more (or less) of.
- If you like what you see, please share it with everyone in your social network (using the sharing buttons on the website). By reaching a broader audience, we increase the chances of finding that one inspired person who might launch the next big conservation venture.
- If you know of anyone who has launched their own conservation venture, or you have launched one yourself, please let me know so that I can add it to the site. Celebrating the most innovation startups will hopefully increase the uptake of entrepreneurship in conservation.
Anyone who as ever watched a David Attenborough documentary knows that biodiversity differs in areas with different climates. Only a few species an survive in hot and dry deserts whereas warm and wet tropical forests are teeming with life. But have you every stopped to wonder why this is so?
Why are certain climate conditions able to support many species and others not? More specifically, how does this work mechanistically?
This was the question my co-authors and I set out to answer in our most recent paper just published online at Global Ecology and Biogeography.
Evolution is creeping into several different aspects of ecology. The latest buzz is all about integrating ecology and evolution. Perhaps you’ve heard of the latest research trends in eco-evolutionary dynamics or community phylogenetics?
Theodosius Dobzhansky famously stated that “Nothing in biology makes sense except in the light of evolution“. This claim is undoubtedly true, but I’ve recently found myself wondering whether our obsession with evolution is actually clouding our ability to do good ecological research.
Please don’t misunderstand me, I am not implying that evolution is not important in explaining patterns in nature, nor am I suggesting that we should disregard evolutionary explanations for these patterns. Instead, I believe that in order to gain a deeper understanding of ecology, we should perhaps partially blind our views using “evolution blinkers”. In fact, I’d even be so bold as to claim that unless we blind ourselves to evolution, we will never be able to fully grasp the true nature of ecological processes. Unifying ecology and evolution might actual limit our ability to build ecology as a science.
Richard Feynman used a useful chess analogy to explain how physics works. I’ll borrow this style of argument to explain my stance on ecology and evolution. However, since chess is too complicated for my liking, I’ll use an even simpler game: Sudoku. Continue reading
No matter at which scale you look at it, nature is remarkable.
Like many others, I was taught ecology in a very hierarchical way: individual organisms are part of a wider populations of species, collections of species form communities and communities come together to make up ecosystems. Similarly, single trees are nested within forests, which aggregate to form biomes. I’m sure you can come up with many comparable examples.
The trouble with such neat spatial hierarchies is that they lure us into believing that if patterns appear similar at several different spatial scales, then the processes leading to these patterns should also be similar. It’s so easy to assume that nature is like a set of Russian Dolls: each daughter exactly the same as its mother, only slightly smaller. But this is not necessarily the case.
One of the most fruitful sub-fields in ecology is using climate variables to predict species’ geographic distributions. For the uninitiated, species distribution modelling assumes that species are limited in their distributions to suitable climate zones. By studying the environmental conditions where species are known to occur, you can infer the total geographic distribution by calculating the suitability of unsampled regions based on the environmental. Furthermore, using the same principle, species distribution modelling can forecast the effect of future climate change of the distribution of life on earth.
Unfortunately, studies have shown that these fancy climate-based techniques cannot consistently outperform much simpler ones based on spatial phenomena. For instance, spatial interpolation between point occurrences outperforms sophisticated climate-based predictions. Similarly, elaborate climate-based predictions perform no better than expected from random chance.
The trouble lies in the spatially-structured world we live in. Species distributions, especially at large spatial scales, are spatially-autocorrelated due to constrained dispersal. Similarly, climate variables are also spatially structured because the meteorological processes at proximal regions are generally more similar than those at distant sites.
When trying to link species distributions to climate conditions, the challenge lies is separating spatial and environmental correlations in species distributions. Specifically, we should identify three patterns in the geographical species distributions.
- We must first identify ‘true’ correlations with the environment, which are independent of spatial patterns (E|S).
- Next, we must identify the environmental-associations that also have a strong spatial structure (E∩S). This is known as exogenous spatial autocorrelation because it is due to autocorrelation is the underlying variables.
- Finally, we need to identify spatial patterns that are completely independent of environmental conditions (S|E). This is called endogenous spatial autocorrelation because it supposedly stems from spatial processes, such as dispersal.
In our latest study just published online at Ecography, we set out to quantify the degree of environmental correlation, exogenous and endogenous spatial autocorrelation in the distributions of 4 423 species of amphibians, reptiles, birds and mammals in Africa. Continue reading