Upcoming conservation, ecology and modelling conferences

7 03 2014

IMG_34271Our lab just put together a handy list of upcoming ecology, conservation and modelling conferences around the world in 2014. Others might also find it useful. Some of the abstract submission deadlines have already passed, but it still might be useful to know what’s on the immediate horizon if attendance only is an option.


Conference Dates Venue Call for Abstracts Deadline
Queensland Ornithological Conference 31 May Brisbane, Australia Open 10 Mar
Spatial Ecology and Conservation 17 Jun Birmingham, UK Closed 21 Feb
Asia-Pacific Coral Reef Symposium 23 Jun Taiwan Closed 5 Feb
International Statistical Ecology Conference 1 Jul Montpellier, France Closed 13 Jan
International Institute of Fisheries Economics & Trade 2014 7 Jul Brisbane Closed 31 Jan
World Conference on Natural Resource Modeling 8 Jul Vilnius, Lithuania Open 31 Mar
Society for Conservation Biology Oceania Section 9 Jul Suva, Fiji Open 7 Mar Read the rest of this entry »

More species = more resilience

8 01 2014

reef fishWhile still ostensibly ‘on leave’ (side note: Does any scientist really ever take a proper holiday? Perhaps a subject for a future blog post), I cannot resist the temptation to blog about our lab’s latest paper that just came online today. In particular, I am particularly proud of Dr Camille Mellin, lead author of the study and all-round kick-arse quantitative ecologist, who has outdone herself on this one.

Today’s subject is one I’ve touched on before, but to my knowledge, the relationship between ‘diversity’ (simply put, ‘more species’) and ecosystem resilience (i.e., resisting extinction) has never been demonstrated so elegantly. Not only is the study elegant (admission: I am a co-author and therefore my opinion is likely to be biased toward the positive), it demonstrates the biodiversity-stability hypothesis in a natural setting (not experimental) over a range of thousands of kilometres. Finally, there’s an interesting little twist at the end demonstrating yet again that ecology is more complex than rocket science.

Despite a legacy of debate, the so-called diversity-stability hypothesis is now a widely used rule of thumb, and its even implicit in most conservation planning tools (i.e., set aside areas with more species because we assume more is better). Why should ‘more’ be ‘better’? Well, when a lot of species are interacting and competing in an ecosystem, the ‘average’ interactions that any one species experiences are likely to be weaker than in a simpler, less diverse system. When there are a lot of different niches occupied by different species, we also expect different responses to environmental fluctuations among the community, meaning that some species inherently do better than others depending on the specific disturbance. Species-rich systems also tend to have more of what we call ‘functional redundancy‘, meaning that if one species providing an essential ecosystem function (e.g., like predation) goes extinct, there’s another, similar species ready to take its place. Read the rest of this entry »

Hate journal impact factors? Try Google rankings instead

18 11 2013

pecking orderA lot of people hate journal impact factors (IF). The hatred arises for many reasons, some of which are logical. For example, Thomson Reuters ISI Web of Knowledge® keeps the process fairly opaque, so it’s sometimes difficult to tell if journals are fairly ranked. Others hate IF because it does not adequately rank papers within or among sub disciplines. Still others hate the idea that citations should have anything to do with science quality (debatable, in my view). Whatever your reason though, IF are more or less here to stay.

Yes, individual scientists shouldn’t be ranked based only on the IF of the journals in which they publish; there are decent alternatives such as the h-index (which can grow even after you die), or even better, the m-index (or m-quotient; think of the latter as a rate of citation accumulation). Others would rather ditch the whole citation thing altogether and measure some element of ‘impact’, although that elusive little beast has yet to be captured and applied objectively.

So just in case you haven’t already seen it, Google has recently put its journal-ranking hat in the ring with its journal metrics. Having firmly wrested the cumbersome (and expensive) personal citation accumulators from ISI and Scopus (for example) with their very popular (and free!) Google Scholar (which, as I’ve said before, all researchers should set-up and make available), they now seem poised to do the same for journal rankings.

So for your viewing and arguing pleasure, here are the ‘top’ 20 journals in Biodiversity and Conservation Biology according to Google’s h5-index (the h-index for articles published in that journal in the last 5 complete years; it is the largest number h such that h articles published in 2008-2012 have at least h citations each):

Read the rest of this entry »

Biogeography comes of age

22 08 2013

penguin biogeographyThis week has been all about biogeography for me. While I wouldn’t call myself a ‘biogeographer’, I certainly do apply a lot of the discipline’s techniques.

This week I’m attending the 2013 Association of Ecology’s (INTECOL) and British Ecological Society’s joint Congress of Ecology in London, and I have purposefully sought out more of the biogeographical talks than pretty much anything else because the speakers were engaging and the topics fascinating. As it happens, even my own presentation had a strong biogeographical flavour this year.

Although the species-area relationship (SAR) is only one small aspect of biogeography, I’ve been slightly amazed that after more than 50 years since MacArthur & Wilson’s famous book, our discipline is still obsessed with SAR.

I’ve blogged about SAR issues before – what makes it so engaging and controversial is that SAR is the principal tool to estimate overall extinction rates, even though it is perhaps one of the bluntest tools in the ecological toolbox. I suppose its popularity stems from its superficial simplicity – as the area of an (classically oceanic) island increases, so too does the total number of species it can hold. The controversies surrounding such as basic relationship centre on describing the rate of that species richness increase with area – in other words, just how nonlinear the SAR itself is.

Even a cursory understanding of maths reveals the importance of estimating this curve correctly. As the area of an ‘island’ (habitat fragment) decreases due to human disturbance, estimating how many species end up going extinct as a result depends entirely on the shape of the SAR. Get the SAR wrong, and you can over- or under-estimate the extinction rate. This was the crux of the palaver over Fangliang He (not attending INTECOL) & Stephen Hubbell’s (attending INTECOL) paper in Nature in 2011.

The first real engagement of SAR happened with John Harte’s maximum entropy talk in the process macroecology session on Tuesday. What was notable to me was his adamant claim that the power-law form of SAR should never be used, despite its commonness in the literature. I took this with a grain of salt because I know all about how messy area-richness data can be, and why one needs to consider alternate models (see an example here). But then yesterday I listened to one of the greats of biogeography – Robert Whittaker – who said pretty much the complete opposite of Harte’s contention. Whittaker showed results from one of his papers last year that the power law was in fact the most commonly supported SAR among many datasets (granted, there was substantial variability in overall model performance). My conclusion remains firm – make sure you use multiple models for each individual dataset and try to infer the SAR from model-averaging. Read the rest of this entry »

Don’t blame it on the dingo

21 08 2013

dingo angelOur postdoc, Tom Prowse, has just had one of the slickest set of reviews I’ve ever seen, followed by a quick acceptance of what I think is a pretty sexy paper. Earlier this year his paper in Journal of Animal Ecology showed that thylacine (the badly named ‘Tasmanian tiger‘) was most likely not the victim of some unobserved mystery disease, but instead succumbed to what many large predators have/will: human beings. His latest effort now online in Ecology shows that the thylacine and devil extinctions on the Australian mainland were similarly the result of humans and not the scapegoat dingo. But I’ll let him explain:

‘Regime shifts’ can occur in ecosystems when sometimes even a single component is added or changed. Such additions, of say a new predator, or changes such as a rise in temperature, can fundamentally alter core ecosystem functions and processes, causing the ecosystem to switch to some alternative stable state.

Some of the most striking examples of ecological regime shifts are the mass extinctions of large mammals (‘megafauna’) during human prehistory. In Australia, human arrival and subsequent hunting pressure is implicated in the rapid extinction of about 50 mammal species by around 45 thousand years ago. The ensuing alternative stable state was comprised of a reduced diversity of predators, dominated by humans and two native marsupial predators ‑ the thylacine (also known as the marsupial ‘tiger’ or ‘wolf’) and the devil (which is now restricted to Tasmania and threatened by a debilitating, infectious cancer).

Both thylacines and devils lasted on mainland Australia for over 40 thousand years following the arrival of humans. However, a second regime shift resulted in the extinction of both these predators by about 3 thousand years ago, which was coincidentally just after dingoes were introduced to Australia. Dingoes are descended from early domestic dogs and were introduced to northern Australia from Asia by ancient traders approximately 4 thousand years ago. Today, they are Australia’s only top predator remaining, other than invasive European foxes and feral cats. Since the earliest days of European settlement, dingoes have been persecuted because they prey on livestock. During the 1880s, 5614 km of ‘dingo fence’ was constructed to protect south-east Australia’s grazing rangelands from dingo incursions. The fence is maintained to this day, and dingoes are poisoned and shot both inside and outside this barrier, despite mounting evidence that these predators play a key role in maintaining native ecosystems, largely by suppressing invasive predators.

Perhaps because the public perception of dingoes as ‘sheep-killers’ is so firmly entrenched, it has been commonly assumed that dingoes killed off the thylacines and devils on mainland Australia. People who support this view also point out that thylacines and devils persisted on the island of Tasmania, which was never colonised by dingoes (although thylacines went extinct there too in the early 1900s). To date, most discussion of the mainland thylacine and devil extinctions has focused on the possibility that dingoes disrupted the system by ‘exploitation competition’ (eating the same prey), ‘interference competition’ (wasting the native predators’ precious munching time), as well as ‘direct predation’ (dingoes actually eating devils and thylacines). Read the rest of this entry »

Ecologists: join F1000Research’s open science ecosystem

8 08 2013

f1000researchlogoThe people at the new open-access journal F1000Research (a Faculty of 1000 publication) have asked me to help them announce their new deal for ecologists – no processing fees until 2014! Might have to give it a go myself…

F1000Research covers all areas of life sciences, but we know that different fields each have their own unique characteristics, and some features of our journal are of particular interest to certain disciplines.

For the coming months, one area we’ll be focussing on is ecology. To encourage ecologists to try F1000Research, we’re waiving the article processing charge for all first submissions of an ecology paper until 2014. (Use code ECOL15 when submitting).

F1000Research is an ideal venue for publishing an ecology paper. Research, which includes full datasets, is openly available and its speed of publication and transparency in reviews makes it a refreshing alternative to traditional publishing.” Gary Luck, Institute for Land, Water and Society, Charles Sturt University, Australia

Three good reasons to send your ecology papers to F1000Research:

1.     Quickly reach a wide audience

All articles are fully open access and include all data, and with our post-publication peer review model, your article can be online within a week (find out more about our speedy publication process). Read the rest of this entry »

Shrinking global range projected for the world’s largest fish

7 08 2013
© W. Osborn (AIMS)

© W. Osborn (AIMS)

My recently finished PhD student, Ana Sequeira, has not only just had a superb paper just accepted in Global Change Biology, she’s recently been offered (and accepted) a postdoctoral position based at the University of Western Australia‘s Oceans Institute (in partnership with AIMS and CSIRO). As any supervisor, I’m certainly pleased when a student completes her PhD, but my pride as an academic papa truly soars when she gets her first job. Well done, Ana. This post by Ana is about her latest paper.

Following our previous whale shark work (see herehereherehere, here, here and here), especially the recent review where we inferred global connectivity and suggest possible pathways for their migration, we have now gone a step further and modelled the habitat suitability for the species at at global scale. This paper sets a nice scene regarding current habitat suitability, which also demonstrates the potential connectivity pathways we hypothesised previously. But the paper goes much further; we extend our predictions to a future scenario for 2070 when water temperatures are expected to increase on average by 2 °C.

Sequeira et al_GCB_Figure 3

Global predictions of current seasonal habitat suitability for whale sharks. Black triangles indicate known aggregation locations. Solid line delineates areas where habitat suitability > 0.1 was predicted.

Regarding the current range of whale sharks (i.e., its currently suitable habitat), we already know that whale sharks span latitudes between about 35 º North to South. We also know that this geographical range has been exceeded on several occasions. What we did not know was whether conditions were suitable enough for whale sharks to cross from the Indian Ocean to the Atlantic Ocean – in other words, whether they could travel between ocean basins south of South Africa. Our global model results demonstrate that suitable habitat in this region does exist at least during the summer, thus supporting our hypotheses regarding global connectivity!

It’s true that the extensive dataset we used (30 years’ worth of whale shark sightings collected by tuna purse seiners in the three major oceans – data provided by the IRD, IOTC and SPC) has many caveats (as do all opportunistically collected data), but we went to great trouble to deal with them in this paper (you can request a copy here or access it directly here). And the overall result: the current global habitat suitability for whale sharks does agree well with current locations of whale shark occurrence, with the exception of the Eastern Pacific for where we did not have enough data to validate. Read the rest of this entry »

Ecology: the most important science of our times

12 07 2013

rocket-scienceThe title of this post is deliberately intended to be provocative, but stay with me – I do have an important point to make.

I’m sure most every scientist in almost any discipline feels that her or his particular knowledge quest is “the most important”. Admittedly, there are some branches of science that are more applied than others – I have yet to be convinced, for example, that string theory has an immediate human application, whereas medical science certainly does provide answers to useful questions regarding human health. But the passion for one’s own particular science discipline likely engenders a sort of tunnel vision about its intrinsic importance.

So it comes down to how one defines ‘important’. I’m not advocating in any way that application or practicality should be the only yardstick to ascertain importance. I think superficially impractical, ‘blue-skies’ theoretical endeavours are essential precursors to all so-called applied sciences. I’ll even go so far as to say that there is fundamentally no such thing as a completely unapplied science discipline or question. As I’ve said many times before, ‘science’ is a brick wall of evidence, where individual studies increase the strength of the wall to a point where we can call it a ‘theory’. Occasionally a study comes along and smashes the wall (paradigm shift), at which point we begin to build a new one. Read the rest of this entry »

Conservation and ecology journal Impact Factors 2012

20 06 2013

smack2It’s the time of year that scientists love to hate – the latest (2012) journal ranking have been released by ISI Web of Knowledge. Many people despise this system, despite its major role in driving publishing trends.

I’ve previously listed the 2008, 2009, 2010 and 2011 IF for major conservation and ecology journals. As before, I’ve included the previous year’s IF alongside the latest values to see how journals have improved or worsened (but take note – journals increase their IF on average anyway merely by the fact that publication frequency is increasing, so small jumps aren’t necessarily meaningful; I suspect that declines are therefore more telling).

Read the rest of this entry »

Want to work with us?

22 03 2013
© Beboy-Fotolia

© Beboy-Fotolia

Today we announced a HEAP of positions in our Global Ecology Lab for hot-shot, up-and-coming ecologists. If you think you’ve got what it takes, I encourage you to apply. The positions are all financed by the Australian Research Council from grants that Barry Brook, Phill Cassey, Damien Fordham and I have all been awarded in the last few years. We decided to do a bulk advertisement so that we maximise the opportunity for good science talent out there.

We’re looking for bright, mathematically adept people in palaeo-ecology, wildlife population modelling, disease modelling, climate change modelling and species distribution modelling.

The positions are self explanatory, but if you want more information, just follow the links and contacts given below. For my own selfish interests, I provide a little more detail for two of the positions for which I’m directly responsible – but please have a look at the lot.

Good luck!

CJA Bradshaw

Job Reference Number: 17986 & 17987

The world-leading Global Ecology Group within the School of Earth and Environmental Sciences currently has multiple academic opportunities. For these two positions, we are seeking a Postdoctoral Research Associate and a Research Associate to work in palaeo-ecological modelling. Read the rest of this entry »

Crying ‘wolf’ overlooks the foxes: challenging ‘planetary tipping points’

28 02 2013

tipping pointToday, a paper by my colleague, Barry Brook, appeared online in Trends in Ecology and Evolution. It’s bound to turn a few heads.

Let’s not get distracted by the title of the post, or the potential for a false controversy. It’s important to be clear that the planet is indeed ill, and it’s largely due to us. Species are going extinct faster than the would have otherwise. The planet’s climate system is being severely disrupted, so is the carbon cycle. Ecosystem services are on the decline.

But – and it’s a big ‘but’ – we have to be wary of claiming the end of the world as we know it or people will shut down and continue blindly with their growth and consumption obsession. We as scientists also have to be extremely careful not to pull concepts and numbers out of our bums without empirical support.

Specifically, I’m referring to the latest ‘craze’ in environmental science writing – the idea of ‘planetary tipping points‘ and the related ‘planetary boundaries‘. It’s really the stuff of Hollywood disaster blockbusters – the world suddenly shifts into a new ‘state’ where some major aspect of how the world functions does an immediate about-face. Read the rest of this entry »

The biggest go first

11 12 2012
© James Cameron

© James Cameron

The saying “it isn’t rocket science” is a common cliché in English to state, rather sarcastically, that something isn’t that difficult (with the implication that the person complaining about it, well, shouldn’t). But I really think we should change the saying to “it isn’t ecology”, for ecology is perhaps one of the most complex disciplines in science (whereas rocket science is just ‘complicated’). One of our main goals is to predict how ecosystems will respond to change, yet what we’re trying to simplify when predicting is the interactions of millions of species and individuals, all responding to each other and to their outside environment. It becomes quickly evident that we’re dealing with a system of chaos. Rocket science is following recipes in comparison.

Because of this complexity, ecology is a discipline plagued by a lack of generalities. Few, if any, ecological laws exist. However, we do have an abundance of rules of thumb that mostly apply in most systems. I’ve written about a few of them here on ConservationBytes.com, such as the effect of habitat patch size on species diversity, the importance of predators for maintaining ecosystem stability, and that low genetic diversity doesn’t exactly help your chances of persisting. Another big one is, of course, that in an era of rapid change, big things tend to (but not always – there’s that lovely complexity again) drop off the perch before smaller things do.

The prevailing wisdom is that big species have slower life history rates (reproduction, age at first breeding, growth, etc.), and so cannot replace themselves fast enough when the pace of their environment’s change is too high. Small, rapidly reproducing species, on the other hand, can compensate for higher mortality rates and hold on (better) through the disturbance. Read the rest of this entry »

Malady of numbers

30 07 2012

Organism abundance is the parameter most often requiring statistical treatment. Statistics turn our field/lab notes into estimates of population density after considering the individuals we can see and those we can’t. Later, statistical analyses will relate our density estimates to other factors (climate, demography, genetics, human impacts), allowing the examination of key issues such as extinction risk, biomonitoring or ecosystem services (humus formation, photosynthesis, pollination, fishing, etc.). Photos – top: a patch of fungi (Lacandon Jungle, Mexico), next down: a palm forest (Belize river, Belize), next down: an aggregation of butterflies (Amazon, Peru), and bottom: a group of river dolphins (Amazon, Colombia). Photos by Salvador Herrando-Pérez.

Another interesting and provocative post from my (now ex-) PhD student, Dr. Salvador Herrando-Pérez. After reading this post, you might be surprised to know that Salva was one of my more quantitative students, and although he struggled to keep up with the maths at times, he eventually become quite an efficient ecological modeller (see for yourself in his recent publications here and here).

When an undergraduate faces the prospect of a postgraduate degree (MSc/PhD), he or she is often presented with an overwhelming contradiction: the host university expects the student to have statistical skills for which he/she might never have received instruction. This void in the education system forges professionals lacking statistical expertise, skills that are mandatory for cutting-edge research!

Universities could provide the best of their societal services if, instead of operating in isolation, they integrated the different phases of academic training students go through until they enter the professional world. Far from such integration in the last 20 years, universities have become a genuine form of business and therefore operate competitively. Thus, they seek public and private funding by means of student fees (lecturing), as well as publications and projects developed by their staff (research). In this kind of market-driven academia, we need indicators of education quality that quantify the degree by which early-career training methods make researchers useful, innovative and cost-effective for our societies, particularly in the long term.

More than a century ago, the geologist and educator Thomas Chamberlin (1) distinguished acquisitive from creative learning methods. The former are “an attempt to follow by close imitation the processes of other thinkers and to acquire the results of their investigation by memorising”. The latter represent “the endeavour… to discover new truth or to make a new combination of truth or at least to develop by one’s own effort an individualised assemblage of truth… to think for one’s self”. From the onset of their academic training, students of many countries are instructed in acquisitive methods of learning that reward the retention of information, much of which falls into oblivion after being regurgitated during an exam. Apart from being a colossal waste of resources (because it yields near null individual or societal benefits), this vicious machinery is reinforced by reward and punishment in convoluted manners. For instance, one of my primary-school teachers had boys seated in class by a ‘ranking of intelligence’; so one could lose the first seat if the classmate in the second seat answered a question correctly, which the up-to-then ‘most intelligent’ had failed to hit. Read the rest of this entry »

Biodiversity conservation and behaviour change

23 07 2012

I have been asked by Diogo Veríssimo, a PhD student at the Durrell Institute of Conservation and Ecology (DICE) based at the University of Kent, to post a call for papers for a special issue of Conservation Evidence (details below). I’ve bumped into Diogo at a few conferences, and learnt a few weeks ago that he won the IUCN/Thomson Reuters Environmental Award for his essay entitled Greening the crisis: turning trouble into opportunity. Well done, Diogo.

Dear Colleagues,

I am inviting you to submit case-studies on behaviour change and biodiversity and conservation for a special issue in the journal Conservation Evidence, an online and open-access scientific journal that focuses on project-level conservation interventions with the aim of sharing lessons learned. The aim of this special issue is to document specific conservation interventions that delivered changes in behaviours relevant to the management and conservation of biodiversity and in this way share lessons learned.

Interventions that have not been successful are especially of interest as these allow for an understanding and discussion of what does not work and why. All case studies need to include an evaluation of the impacts of the intervention and are written by, or in partnership with, those who did the conservation work. Read the rest of this entry »

Conservation and Ecology Impact Factors 2011

29 06 2012

Here we go – another year, another set of citations, and another journal ranking by ISI Web of Knowledge Journal Citation Reports. Love them or loathe them, Impact Factors (IF) are immensely important for dictating publication trends. No, a high Impact Factor doesn’t mean your paper will receive hundreds of citations, but the two are correlated.

I’ve previously listed the 2008, 2009 and 2010 IF for major conservation and ecology journals – now here are the 2011 IF fresh off the press (so to speak). I’ve included the 2010 alongside to see how journals have improved or worsened (but take note – journals increase their IF on average anyway merely by the fact that publication frequency is increasing, so small jumps aren’t necessarily meaningful).

Read the rest of this entry »

Arguing for scientific socialism in ecology funding

26 06 2012

What makes an ecologist ‘successful’? How do you measure ‘success’? We’d all like to believe that success is measured by our results’ transformation of ecological theory and practice – in a conservation sense, this would ultimately mean our work’s ability to prevent (or at least, slow down) extinctions.

Alas, we’re not that good at quantifying such successes, and if you use the global metric of species threats, deforestation, pollution, invasive species and habitat degradation, we’ve failed utterly.

So instead, we measure scientific ‘success’ via peer-reviewed publications, and the citations (essentially, scientific cross-referencing) that arise from these. These are blunt instruments, to be sure, but they are really the only real metrics we have. If you’re not being cited, no one is reading your work; and if no one is reading you’re work, your cleverness goes unnoticed and you help nothing and no one.

A paper I just read in the latest issue of Oikos goes some way to examine what makes a ‘successful’ ecologist (i.e., in terms of publications, citations and funding), and there are some very interesting results. Read the rest of this entry »

Costs and benefits of a carbon economy for conservation

12 06 2012

I’ve had the good fortune of being involved now in a several endeavours funded by the Australian Centre for Ecological Analysis and Synthesis (ACEAS); two of those were workshops targeting specific questions regarding estimating modern extinction rates and examining the effects of genetic bottlenecks on Australian biota. The third was a bit different, to say the least – it was a little along the lines of ‘build it, and they will come‘. In other words, what happens when you bung 40 loosely associated researchers in a room for two days? Does anything of substance result, or does it degenerate into a mere talk-fest. I’m happy to say the former. The details of the ACEAS ‘Grand Workshop‘ are now being finalised in a paper that should be submitted by the end of the month. The ACEAS report is reproduced below.

The Grand ACEAS Workshop was something of an experiment: what will happen when we bring 30 of Australia’s top scientists working on land management issues into the same room?

The Grand Workshop participants came from academia, research institutions and the government, and had all received ACEAS funding for working groups. David Keith, Ted Lefroy, Jasmyn Lynch, Wayne Meyer and Dick Williams were amongst the attendees of the two-day workshop.

And when this group of people came together wanting to analyse and synthesise ecological data, great things happened.

“We decided to focus on how carbon pricing legislation will affect land use change and how will that spill over into biodiversity persistence”, said Professor Corey Bradshaw, Director of Ecological Modelling at The University of Adelaide, who led the synthesis activity at the Grand ACEAS Workshop.

“Will carbon pricing lead to good outcomes for biodiversity, or negative ones, or will it have no bearing whatsoever?”

The workshop participants broke into five groups to discuss how the carbon tax legislation will change land use when it is introduced in July 2012, and the potential impact on biodiversity.

Some of the questions asked included:

  • Is it enough simply to allow plants to re-grow to be eligible for carbon credits?
  • How will an increase in forestry plantations impact biodiversity, water catchments and fire regimes?
  • Will there be more kangaroo grazing to reduce methane emissions and erosion, replacing hard-hoofed livestock?
  • Can you receive carbon credits for shooting large feral animals like goats, camels, deer and boars?

The groups found many opportunities for positive biodiversity outcomes with the carbon sequestration activities encouraged by carbon pricing, but there are also many potential ‘bio-perversities’. Read the rest of this entry »

No more ecology

9 05 2012

To all ecology people who read this blog (students, post-docs, academics), this is an intriguing, provocative and slightly worrying title. As ecology has matured into a full-fledged, hard-core, mathematical science on par with physics, chemistry and genetics (and is arguably today one of the most important sciences given how badly we’ve trashed our own home), its sophistication now threatens to render many of the traditional aspects of ecology redundant.

Let me explain.

As a person who cut his teeth in field ecology (with all the associated dirt, dangers, bites, stings, discomfort, thrills, headaches and disasters), I’ve had my fair share of fun and excitement collecting ecological data. There’s something quaintly Victorian (no, I am not referring to the state next door) about the romantic and obsessive naturalist collecting data to the exclusion of nearly all other aspects of civilised life; the intrepid adventurer in some of us takes over (likely influenced by the likes of David Attenborough) and we convince ourselves that our quest for the lonely datum will heal all of the Earth’s ailments.


As I’ve matured in ecology and embraced its mathematical complexity and beauty, the recurring dilemma is that there are never enough data to answer the really big questions. We have sampled only a fraction of extant species, we know embarrassingly little about how ecosystems respond to disturbance, and we know next to nothing about the complexities of ecosystem services. And let’s not forget our infancy in understanding the synergies of extinctions in the past and projections into the future. Multiply this uncertainty by several orders of magnitude for ocean ecosystems.

Read the rest of this entry »

Unholy trinity of leakage, permanence and additionality

13 03 2012

I begin with the proverbial WTF? The title of this post sounds a little like the legalese accompanying a witchcraft trial, but it’s jargon that’s all the rage in the ‘trading-carbon-for-biodiversity’ circles.

I’m sure that most of my readers will have come across the term ‘REDD‘ (Reduced Emissions from Deforestation and forest Degradation), which is the clever idea of trading carbon credits to keep forests intact. As we know, living forests can suck up a lot of carbon from the atmosphere (remember your high school biology lesson on photosynthesis? Carbon dioxide in. Oxygen out), even though climate change is threatening this invaluable ecosystem service. So the idea of paying a nation (usual a developing country) to protect its forests in exchange for carbon pollution offsets can potentially save two birds with one feeder – reducing overall emissions by keeping the trees alive, and ensuring a lot of associated biodiversity gets caught up in the conservation process.

The problem with REDD though is that it’s a helluva thing to bank on given a few niggly problems essentially revolving around trust. Ah yes, the bugbear of any business transaction. As the carbon credit ‘buyer’ (the company/nation/individual who wishes to offset its carbon output by ‘buying’ the carbon uptake services provided by the intact forest), you’d want to make damn sure that all the money you spend to offset your carbon actually does just that, and that it doesn’t just end up in the hands of some corrupt official, or even worse, used to generate industry that results in even higher emissions! As the buyer, of course you want to entice investors to give you lots of money, and if you bugger up the transaction (by losing the resource you are providing), you’re not likely to have any more investors coming knocking on your door.

Enter the unholy trinity of leakage, permanence and additionality.

This horrible jargon essentially describes the REDD investment problem:

Read the rest of this entry »

Parts a whole do not make

17 02 2012

I’m particularly proud of our latest paper for three main reasons:  (1) Salva Herrando-Pérez, lead author and contributor-extraordinaire to CB, has worked extremely hard to get this one out; (2) it is published in a really good journal; and most importantly, (3) it’s the very first empirical demonstration over hundreds of species that just because you have a density effect on some vital rate (e.g., survival, fertility, dispersal), this in no way means you have any evidence at all for density dependence at the population level. Let us explain.

Quantifying variation in population size is an important element for explaining and predicting population dynamics. In models where a vital (demographic) rate responds to change in population size, those ‘density-dependent’ relationships are ecologically understood as being demographic signals of trophic and social interactions, such as parasitism, predation or competition for shelter, because the intensity of those interactions varies with population size.

In fact, density-dependent effects reflect the theoretical capacity of populations to adjust growth and rebound from low or high numbers – and so this concept has become an important metric in population management and conservation  (Eberhardt et al. 2008). Read the rest of this entry »


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