Oversimplification isn't acceptable: It's not all about the CO2

I like Grist, most of the time . . . and then there are times when it grates a bit.  Jess Zimmerman got me with one of the latter today – in a post about the grave condition of our oceans.  First, I guess I just like my info delivered straight, not . . . well, this:

Ocean ecosystems are taking a faster nosedive than anyone predicted. Without urgent action, coral reefs and entire fish species could disappear in a generation. Why is this happening? Do you really need to ask? Hint: It rhymes with shmarbon shmioxide.

Shmarbon shmioxide?  Really?

CO2 in the atmosphere increases the temperature of ocean water, throwing off the pH and making the oxygen-hogging algae population explode. Result: OCEAN DOOM.

Ocean doom?  That is the summary of this report?  This does not enhance the readability or accessibility of the report.  Hell, I feel like it trivializes the report, which I suspect was the opposite of Zimmerman’s intent.
But here’s the thing: Zimmerman’s summary mischaracterizes the report.  The title of the press release is the first hint:

“Multiple ocean stresses threaten ‘globally significant’ marine extinction.”

The second hint is the first bullet point of the press release:

  • The combination of stressors on the ocean is creating the conditions associated with every previous major extinction of species in Earth’s history

And finally, just reading down a bit, it becomes clear that climate change is one of three major stressors that combine to cause the challenges we face.

The group reviewed recent research by world ocean experts and found firm evidence that the effects of climate change, coupled with other human-induced impacts such as overfishing and nutrient run-off from farming, have already caused a dramatic decline in ocean health.

Increasing hypoxia (low oxygen levels) and anoxia (absence of oxygen, known as ocean dead zones) combined with warming of the ocean and acidification are the three factors which have been present in every mass extinction event in Earth’s history.

So, to Jess Zimmerman and Grist, please, please take a bit more time reading press releases (God forbid you read the report before reporting on it) and try to get the messages right.  The collapse of our oceans is an incredibly important challenge that is vastly underreported and very poorly understood by the general public (earlier post on this here), and addressing the causes of the depletion of the oceans (and some really significant terrestrial impacts as people look for new sources of protein – see chapters 2 and 13 in Delivering Development) will require addressing how we grow our food and dispose of our waste, and how we choose to fish the oceans for generations to come.  Climate change and CO2 emissions are part of the problem, no doubt, but without a comprehensive approach, we will collapse our fisheries no matter what we do on climate change.

The scientific community's view on climate change: voting with our publications

Watching Mitt Romney get hammered for daring to suggest that anthropogenic climate change (ACC) is a real problem has, yet again, got me thinking about how to explain to people the generally-held view of the scientific community on this topic.  I think we make something of a mistake when we argue there is a scientific consensus – if we agree with the Miriam Webster definition of consensus, “general agreement: unanimity”, what we have doesn’t quite rise to this standard.  There are a few folks out there that insist that the huge majority of people working on this issue are wrong, and there is really no way to resolve or mitigate the issues of concern that animate many skeptics.  So every time we say consensus, we are opening ourselves up to the criticism that “Person X disagrees,” thus invalidating (for many) the claim of consensus, which then is (illogically) extended to mean that all arguments for anthropogenic climate change are invalid.
However, thanks to Grist, I stumbled across another means of communicating the state of the science of climate change: a very cool visualization of the evolution of the literature on the subject, from 1824 to the present.  The folks at Skeptical Science have divided the climate change literature into three camps: skeptic, neutral and pro-anthropogenic climate change.  They then classified each of the 4811 papers they could find on climate change into one of these three categories.  Now, their classification system is unique and, in my opinion, somewhat problematic in that they have stretched a bit in placing some pieces into the skeptical or pro categories (see their explanation under the animation).  That said, by 2011 their visualization is striking:

Yeah, no matter how you classify things, unless you completely and utterly pervert the literature, this picture is striking.  The vast bulk of the literature either tests a climate change issue without directly addressing the causes of climate change (neutral) or comes down supporting a human cause for (at least some of) observed climate change.  Only 187 papers since 1900 have argued against the idea.  Go to the visualization, and you can drag the slider across the bottom and watch the literature emerge over time.  It has never been a close raise between those who deny the human causes of climate change and those of us who see clear human causes – the pro-anthropogenic climate change crowd wins by a mile.
Is this consensus?  No.  But does it help people see that the dissent in the scientific literature is diminishingly small and always has been?  Less than 4% of all articles published on climate change argued against human causes.  If unanimity is the standard, then we need to start questioning a lot more than climate change . . . like gravity, for example.  We still have a few unresolved issues with that particular force (really), but I don’t see anyone grabbing onto those tiny knowledge gaps to suggest that we shouldn’t pay any attention to it and exiting through a second-floor window is perfectly acceptable.  This slider shows you one representation of the literature, a literature that represents a clear plurality view in favor of ACC (though given many of the “neutral” papers are reporting on work done because the authors accept the fundamental premise of ACC, suggesting a significant majority in this camp).  Enough with the irrational doubt – let’s focus on the real challenges (better understanding the mechanisms of change, the total human contribution to observed change, and the likely resilience of ecology and society in the face of the challenges that now loom . . .

Academic Adaptation and "The New Communications Climate"

Andrew Revkin has a post up on Dot Earth that suggests some ways of rethinking scientific engagement with the press and the public.  The post is something of a distillation of a more detailed piece in the WMO Bulletin.  Revkin was kind enough to solicit my comments on the piece, as I have appeared in Dot Earth before in an effort to deal with this issue as it applies to the IPCC, and this post is something of a distillation of my initial rapid response.
First, I liked the message of these two pieces a lot, especially the push for a more holistic engagement with the public through different forms of media, including the press.  As Revkin rightly states, we need to “recognize that the old model of drafting a press release and waiting for the phone to ring is not the path to efficacy and impact.” Someone please tell my university communications office.
A lot of the problem stems from our lack of engagement with professionals in the messaging and marketing world.  As I said to the very gracious Rajendra Pachauri in an email exchange back when we had the whole “don’t talk to the media” controversy:

I am in no way denigrating your [PR] efforts. I am merely suggesting that there are people out there who spend their lives thinking about how to get messages out there, and control that message once it is out there. Just as we employ experts in our research and in these assessment reports precisely because they bring skills and training to the table that we lack, so too we must consider bringing in those with expertise in marketing and outreach.

I assume that a decent PR team would be thinking about multiple platforms of engagement, much as Revkin is suggesting.  However, despite the release of a new IPCC communications strategy, I’m not convinced that the IPCC (or much of the global change community more broadly) yet understands how desperately we need to engage with professionals on this front.  In some ways, there are probably good reasons for the lack of engagement with pros, or with the “new media.” For example, I’m not sure Twitter will help with managing climate change rumors/misinformation as it is released, if only because we are now too far behind the curve – things are so politicized that it is too late for “rapid response” to misinformation. I wish we’d been on this twenty years ago, though . . .
But this “behind the curve” mentality does not explain our lack of engagement.  Instead, I think there are a few other things lurking here.  For example, there is the issue of institutional politics. I love the idea of using new media/information and communication technologies for development (ICT4D) to gather and communicate information, but perhaps not in the ways Revkin suggests.  I have a section later in Delivering Development that outlines how, using existing mobile tech in the developing world, we could both get better information about what is happening to the global poor (the point of my book is that, as I think I demonstrate in great detail, we actually have a very weak handle on what is going on in most parts of the developing world) and could empower the poor to take charge of efforts to address the various challenges, environmental, economic, political and social, that they face every day.  It seems to me, though, that the latter outcome is a terrifying prospect for some in development organizations, as this would create a much more even playing field of information that might force these organizations to negotiate with and take seriously the demands of the people with whom they are working.  Thus, I think we get a sort of ambiguity about ICT4D in development practice, where we seem thrilled by its potential, yet continue to ignore it in our actual programming.  This is not a technical problem – after all, we have the tech, and if we want to do this, we can – it is a problem of institutional politics.  I did not wade into a detailed description of the network I envision in the book because I meant to present it as a political challenge to a continued reticence on the part of many development organizations and practitioners to really engage the global poor (as opposed to tell them what they need and dump it on them).  But my colleagues and I have a detailed proposal for just such a network . . . and I think we will make it real one day.
Another, perhaps more significant barrier to major institutional shifts with regard to outreach is the a chicken-and-egg situation of limited budgets and a dominant academic culture that does not understand media/public engagement or politics very well and sees no incentive for engagement.  Revkin nicely hits on the funding problem as he moves past simply beating up on old-school models of public engagement:

As the IPCC prepares its Fifth Assessment Report, it does so with what, to my eye, appears to be an utterly inadequate budget for communicating its findings and responding in an agile way to nonstop public scrutiny facilitated by the Internet.

However, as much as I agree with this point (and I really, really agree), the problem here is not funding unto itself – it is the way in which a lack of funding erases an opportunity for cultural change that could have a positive feedback effect on the IPCC, global assessments, and academia more generally that radically alters all three. The bulk of climate science, as well as social impact studies, come from academia – which has a very particular culture of rewards.  Virtually nobody in academia is trained to understand that they can get rewarded for being a public intellectual, for making one’s work accessible to a wide community – and if I am really honest, there are many places that actively discourage this engagement.  But there is a culture change afoot in academia, at least among some of us, that could be leveraged right now – and this is where funding could trigger a positive feedback loop.
Funding matters because once you get a real outreach program going, productive public engagement would result in significant personal, intellectual and financial benefits for the participants that I believe could result in very rapid culture change.  My twitter account has done more for the readership of my blog, and for my awareness of the concerns and conversations of the non-academic development world, than anything I have ever done before – this has been a remarkable personal and intellectual benefit of public engagement for me.  As universities continue to retrench, faculty find themselves ever-more vulnerable to downsizing, temporary appointments, and a staggering increase in administrative workload (lots of tasks distributed among fewer and fewer full-time faculty).  I fully expect that without some sort of serious reversal soon, I will retire thirty-odd years hence as an interesting and very rare historical artifact – a professor with tenure.  Given these pressures, I have been arguing to my colleagues that we must engage with the public and with the media to build constituencies for what we do beyond our academic communities.  My book and my blog are efforts to do just this – to become known beyond the academy such that I, as a public intellectual, have leverage over my university, and not the other way around.  And I say this as someone who has been very successful in the traditional academic model.  I recognize that my life will need to be lived on two tracks now – public and academic – if I really want to help create some of the changes in the world that I see as necessary.
But this is a path I started down on my own, for my own idiosyncratic reasons – to trigger a wider change, we cannot assume that my academic colleagues will easily shed the value systems in which they were intellectually raised, and to which they have been held for many, many years.  Without funding to get outreach going, and demonstrate to this community that changing our model is not only worthwhile, but enormously valuable, I fear that such change will come far more slowly than the financial bulldozers knocking on the doors of universities and colleges across the country.  If the IPCC could get such an effort going, demonstrate how public outreach improved the reach of its results, enhanced the visibility and engagement of its participants, and created a path toward the progressive politics necessary to address the challenge of climate change, it would be a powerful example for other assessments.  Further, the participants in these assessments would return to their campuses with evidence for the efficacy and importance of such engagement . . . and many of these participants are senior members of their faculties, in a position to midwife major cultural changes in their institutions.
All this said, this culture change will not be birthed without significant pains.  Some faculty and members of these assessments want nothing to do with the murky world of politics, and prefer to continue operating under the illusion that they just produce data and have no responsibility for how it is used.  And certainly the assessments will fear “politicization” . . . to which I respond “too late.”  The question is not if the findings of an assessment will be politicized, but whether or not those who best understand those findings will engage in these very consequential debates and argue for what they feel is the most rigorous interpretation of the data at hand.  Failure to do so strikes me as dereliction of duty.  On the other hand, just as faculty might come to see why public engagement is important for their careers and the work they do, universities will be gripped with contradictory impulses – a publicly-engaged faculty will serve as a great justification for faculty salaries, increased state appropriations, new facilities, etc.  Then again, nobody likes to empower the labor, as it were . . .
In short, in thinking about public engagement and the IPCC, Revkin is dredging up a major issue related to all global assessments, and indeed the practices of academia.  I think there is opportunity here – and I feel like we must seize this opportunity.  We can either guide a process of change to a productive end, or ride change driven by others wherever it might take us.  I prefer the former.

Well, this is interesting . . .

It’s been a while since I focused on the environment side of the whole “global change” thing that this blog is supposed to be covering . . . at least directly.  Pretty much everything we do in development is connected to the environment – indeed, of late I have been referring to climate change as development’s Kevin Bacon while at work: I can get you from climate change to a development challenge, or vice versa, in three steps or less.  But I have not been writing much on the subject directly.
However, thanks to Garry over at Resilience Science, I’ve just read a really interesting article in Science (and a nice counterpoint to the recent bin Laden ambulance chasing in that journal) by Steve Carpenter and a bunch of others on Early Warnings of Regime Shifts in ecosystems.  For years, I have been teaching my students about the challenges of global environmental change, and trying to impress upon them that the part of these changes I find most worrying are the parts that are hardest to predict – the thresholds when particular biophysical systems might make sudden, discontinuous transitions to new states.  What has worried me, and I think much of the global change community, the most is the fact that we are not sure where these thresholds are, nor are we sure what it looks like when we approach one.  Thus, there is a pervasive concern within the community that we won’t know we’ve crossed a threshold or done something irreversible.
Carpenter and his co-authors, however, tested the hypothesis that “catastrophic ecological regime shifts may be announced in advance by statistical early-warning signals such as slowing return rates from perturbation and rising variance” by artifically inducing a regime shift in an aquatic food web (Carpenter is a limnologist – he does lakes, as it were) while monitoring a nearby similar lake as a control.  Their finding: they could see statistical warnings of an impending regime shift for more than a year before it occurred, validating their chosen early warning indicators (chosen from previously constructed understandings of the food web in question, and a bit much to synthesize here).
That there might be early warning indicators, or that the variables chosen by Carpenter, et al served as useful early warning indicators for regime change in this particular system are not terribly surprising.  What is interesting, though, is that the authors were able to demonstrate in a real-world (experimental) context (as opposed to desk theorization) that the early warning signals of regime shift are in fact detectable and measurable.  Granted, this is for a small, bounded food web – but the demonstration is important in a much wider way.  If we can find early warning indicators for regime shift in a small food web, there is no reason why we cannot find indicators for other complex systems – we can find a lot more early warning indicators of the discontinuous changes we fear, and in enough time to possibly address those changes before they occur.
But one big caveat here: this study did not reveal the actual mechanisms of regime shift.  As the authors note:

The precise mechanism of the nonlinear transitions is not known for our experiment; it could be one of the processes proposed in the literature, or something else. These early warning signals are expected to occur for a wide class of nonlinear transitions (7). Even though the mechanism is not known, manipulation of an apex predator triggered a nonlinear food web transition that was signaled by early warning indicators more than a year before the food web transition was complete. Thus the early warning indicators appear to be useful even in cases where the form of the potential regime shift is not known.

It seems to me that there is a serious risk of conflating correlation and causation here – that the authors got a bit lucky in this experiment, but that in other systems without an adequate understanding of the mechanisms of change, false correlations could cause us to lose the signal of regime shift in the noise of inappropriate data points.  I’m not sure how, or if, they intend to address this . . . but I think they will have to, if we are to usefully apply this to our food-producing ecosystems in a manner that allows us to think about sustainable development and food security in a meaningful way . . .

Optimism in numbers

Tom over at A View from the Cave has a really interesting observation at the end of his post on the Mortensen scandal the other day:

I have been conducting interviews with the Knowledge Management team with UNICEF and the one today go to discussing the access of information. I was struck when the gentleman I was interviewing said, “There are hundreds of offices and thousands of people in UNICEF. Any idea that I come with has likely been already done by 50 people and better than what I had imagined.” We need to access this information and share it with each other so that a story like this will not go the same route.

I know that this is not a new observation – hell, it is practically the mantra of the ICT for development crowd – but I want to point out something that gets lost in its common repetition: optimism.  The interviewee above was not disparaging the idea of access to information, but instead showing tremendous humility in the face of a vast, talented organization.  Tom’s point was to move from this humble observation to (quite rightly) point out that while great ideas may exist within the organization, until they are accessed or shared they are just potential energy.
This is the same thing I tried to leave readers with as one of the takeaways from Delivering Development.  As I argue:

We probably overlook significant problems every day, as our measurements fail to capture them, and we are likely mismeasuring many of those we can see. However, this is not failure; this is hope. If we acknowledge that these are, indeed, significant problems that must be addressed if we wish to build a sustainable future, then we can abandon the baggage of decades of failure. We can open ourselves up to innovation that might be unimaginable from within the echo chamber of contemporary globalization and development . . .

This uncertainty, for me, is hope. There are more than 6.5 billion people on this planet. Surely at least several of them have innovative and exciting ideas about how to address the challenges facing their lives, ideas that might be applicable in other places or be philosophically innovative. We will not know unless we ask, unless we actively go looking for these ideas and empower those who have them to express them to the world.

In short, Tom’s interviewee sees 50,000 people as a hopeful resource.  I see the nearly 7 billion people on this planet in the same way.  I am optimistic about the “potential energy” for addressing global challenges that exists out there in the world.  That said, it will be nothing but potential until we empower people to convert it into kinetic actions.  Delivering Development provides only the loosest schematic of one way of thinking about doing this (there is a much, much more detailed project/workplan behind that loose schematic) that was presented to raise a political challenge the the status quo focus on experts and “developed country” institutions in development – if we know that people living in the Global South have good ideas, and we can empower these people to share their ideas and solutions, why don’t we?
Sometimes optimism requires a lead blocker.  I’m happy to play that role . . . hopefully someone is following me through the line.

Future challenges, future solutions

On Global Dashboard Alex Evans discusses a report he wrote for ActionAid on critical uncertainties for development between the present and 2020.  Given Alex got to distill a bunch of futures studies, scenarios and outlooks into this report, I have to say this: I want his job.
The list he produces is quite interesting.  In distilled form, they are:
1. What is the global balance of power in 2020?
2. Will job creation keep pace with demographic change to 2020?
3. Is there serious global monetary reform by 2020?
4. Who will benefit from the projected ‘avalanche of technology’ by 2020?
5. Will the world face up to the equity questions that come with a world of limits by 2020?
6. Is global trade in decline by 2020?
7. How has the nature of political influence changed by 2020?
8. What will the major global shocks be between now and 2020?
All are fair questions.  And, in general, I like his 10 recommendations for addressing these challenges:
1. Be ready (because shocks will be the key drivers of change)
2. Talk about resilience (because the poor are in the firing line)
3. Put your members in charge (because they can bypass you)
4. Talk about fair shares (because limits change everything)
5. Specialise in coalitions (and not just of civil society organisations)
6. Take on the emerging economies (including from within)
7. Brings news from elsewhere (because innovation will come from the edges)
8. Expect failure (and look for the silver lining)
9. Work for poor people, not poor countries (as most of the former are outside the latter)
10. Be a storyteller (because stories create worldviews)
I particularly like #10 here, as it was exactly this idea that motivated me to write Delivering Development.  And #7 is more or less the political challenge I lay out in the last 1/4 of the book.  #9 is a clear reference to Andy Sumner’s work on the New Bottom Billion, which everyone should be looking at right now.  In short, Alex and I are on the same page here.
I have two bits of constructive criticism to offer that I think would strengthen this report – and would be easy edits.  First, I think Alex has made a bit of a mistake in limiting his concern for environmental shocks to climate shocks.  These sorts of shocks are, of course, critical (hell, welcome to my current job), but there are other shocks out there that are perhaps not best captured as climate shocks on such a short timescale.  For example, ecological collapse from overuse/misuse of ecosystem resources (see the Millennium Ecosystem Assessment) may have nothing at all to do with climate change – overfishing is currently crushing most major global fisheries, and the connection between this behavior and climate change is somewhat distant, at best.  We’ve been driving several ecosystems off cliffs for some time now, and one wonders when resilience will fail and a state change will set in.  It is near-impossible to know what the new state of a stressed ecosystem will be after a state change, so this is really a radical uncertainty we need to be thinking about.
Second, I am concerned that Stevens’ claim about the collapse of globalization bringing about “savage” negative impacts on the developing world.  Such a claim strikes me as overgeneralized and therefore missing the complexity of the challenge such a collapse might bring – and it is a bit ironic, given his admonition to “talk about resilience” above.  I think that some people (urban dwellers in particular) would likely be very hard hit – indeed, the term savage might actually apply to those who are heavily integrated into global markets simply by the fact they are living in large cities whose economies are driven by global linkages.  And certainly those in marginal rural environments who are already subject to crop failure and other challenges will likely suffer greatly from the loss of market opportunities and perhaps humanitarian assistance (look at contemporary inland Somalia for an illustration of what I am talking about here).  However, others (the bulk of rural farmers with significant subsistence components to their agricultural activities, or the option to convert activities to subsistence) have the option to pull back from market engagement and still make a stable living.  Opportunity will certainly dry up for these people, at least for a while, as this is usually a strategy for managing temporary economic fluctuations.  This is certainly a negative impact, for if development does nothing else, it must provide opportunities for people.  However, this sort of negative impact doesn’t rise to “savage” – which to me implies famine, infant mortality, etc.  I think we make all-to-easy connections between the failure of globalization/development (I’m not sure they are all that different, really, a point I discuss in Delivering Development).  Indeed, a sustained loss of global connection might, in the long run, create a space for local innovations and market development that could lead to a more robust future.
So to “be ready” requires, I think, a bit of a broadening of our environmental concerns, and a major effort to engage the complexity of engagement with the global economy among the rural poor in the world.  Both are quite doable – and are really minor edits to a very nice report (which I still wish I wrote).

Why is this still surprising?

Alertnet has a post on climate change and the poor that opened with one of my least favorite narrative techniques – surprise about local capacity and knowledge for adaptation.

I was struck by the local community’s scientific knowledge about climate change. I’d often heard that such communities know a tremendous amount about changing weather patterns – and can easily tell a good year from a bad one in terms of droughts or floods – but that they don’t know much about ‘greenhouse gas emissions’ or ‘climate change’.

Not so in Manikganj District. The community performed a drama for us and it was clear that they knew exactly what these relatively western scientific terms mean both in theory and in practice.

I was also struck by how the community – supported by the local nongovernmental organisation, GSK – has developed a range of strategies and activities to cope with longer floods, higher floodwater levels and the erosion that each year washes away more and more of their crop and homestead land into the nearby Padma River. There was no drama here. And I was deeply affected by the industrious positive way the people of Manikganj District meet these challenges and carry on with daily life.

I confess to a bit of fatigue at the continued voicing of surprise at finding out that those in the Global South who are dealing with the impacts of climate change actually have ideas, and often successful strategies, for managing those impacts.  Implicitly, every time we do this we back our readers up to a place of comfort (“those poor/dark people don’t know much”) and then get to act surprised when it turns out they do actually have knowledge and capabilities.  I’d like to think that the first half of my book flips this script, arguing consistently that the people I have been working with are staggeringly capable, and therefore it is the breakdown of livelihoods and adaptation that is interesting, not its existence.
To be fair, though, I blame myself and my colleagues working on adaptation and livelihoods for the persistence of this narrative technique.  Once we get past that all-to-common intro, the post gets into concrete discussions of how people are adapting – good, useful grounded description.  But what I long for, and what I am working on (articles in review and in prep, folks) is moving beyond the descriptive case toward a more systematic understanding of adaptation and livelihoods decision-making that enables some level of generalization and systematization. Indeed, by failing to approach livelihoods and adaptation decision-making in this manner, we enable the very frustrating lead-in technique I described above – every case becomes unique, and every effort to manage the impacts of climate change is therefore an isolated surprise.  If, in fact, it is not at all surprising that people have at least some knowledge and capacity for addressing climate change (and this is really not surprising at all, dammit), we need to get past simple description to capturing processes that might be leveraged into better early warning, better programming, and better understandings of what people are experiencing on the ground.

What else we don't know about adaptation

RealClimate had an interesting post the other day about adaptation – specifically, how we bring together models that operate at the global-to-regional scales with an understanding of current and future impacts of climate change, which we feel at the local scale. This post was written from a climate science perspective – and so focuses on modeling capabilities and needs as related to the biophysical world.  In doing so, I think that one key uncertainty in our use of downscaled models for adaptation planning is huge – the likely pathways of human response to changes in the climate over the next several decades.  In places like sub-Saharan Africa, how people respond to climate change will have impacts on land use decisions, and therefore land cover . . . and land cover is a key component of local climate.  In other words, as we downscale climate models, we need to start adding new types of data to them – social data on adaptation decision-making, so that we might project plausible future pathways and build them into these downscaled models.
For example, many modeling exercises currently suggest that a combination of temperature increases and changes in the amount and pattern of rainfall in parts of southern Africa will make it very difficult to raise maize there over the next few decades.  This is a major problem, as maize is a staple of the region.  So, what will people do?  Will they continue to grow maize that is less hardy and takes up less CO2 and water as it grows, will they switch to a crop that takes up more CO2 than maize ever did, or will they begin to abandon the land and migrate to cities, creating pockets of fallow land and/or opening a frontier for mechanized agriculture (both outcomes likely to have significant impacts on greenhouse gas emissions and water cycling, among other things)?  Simply put, we don’t really know.  But we need to know, and we need to know with reasonably high resolution.  That is, it is not enough to simply say “they will stop planting maize and plant X.”  We need to know when this transition will take place.  We need to know if it will happen suddenly or gradually.  We need to know if that transition will itself be sustainable going forward, or if other changes will be needed in the near future.  All of this information needs to be part of iterative model runs that capture land cover changes and biogeochemical cycling changes associated with these decisions to better understand future local pathways of climate change impacts and the associated likely adaptation pathways that these populations will occupy.
The good news* is that I am on this – along with my colleague Brent McCusker at West Virginia University (see pubs here and here).  Between the two of us, we’ve developed a pretty solid understanding of adaptation and livelihoods decision-making, and have spent a good bit of time theorizing the link between land use change and livelihoods change to enable the examination of the issues I have raised above.  We have a bit of money from NSF to run a pilot this summer (Brent will manage this while I am a government employee), and I plan to spend next year working on how to integrate this research program into the global climate change programming of my current employer.
Long and short: climate modelers, you need us social scientists, now more than ever.  We’re here to work with you . . .
*Calling this good news presumes that you see me as competent, or at least that you see Brent as competent enough to make up for my incompetence.

Adaptation, Development and Occam's Razor

Adrian Fenton, writing on the website of IIED (whose work I generally like), seems to be pushing the idea that community-based adaptation (that is, adaptation that builds upon/strengthens strategies employed at the local scale) and microfinance go hand-in-hand. I am not so sure this is a good idea – I feel like IIED has missed a fundamental point here – for most of the developing world, livelihoods are about avoiding and managing risks and challenges – and then capitalizing on any surplus that might come about after managing those risks.  As many have noted, this largely risk-averse approach to making a living hugely constrains opportunity because you cannot employ all of your resources in an effort to engage in markets/work off the farm/what have you – you have to effectively waste a bunch of them guarding against events that often don’t happen. One way in which this happens, which I lay out in my book and have discussed on this blog, is when people set up their livelihoods in a manner that allows them to temporarily deglobalize when markets turn against them.  This effectively requires holding back resources from market sale in case you have to rely on them directly.  For example, farmers who keep the deglobalization option open in their livelihoods hold back a portion of their labor from market engagement as they dedicate time to planting and raising food crops that might be used for subsistence purposes if the markets turn.
Given this fundamental characteristic of so many livelihoods that we see in the Global South, it seems to me that coupling adaptation (current community- and household-level livelihoods are, in effect, adaptation efforts that go on continuously) with microfinance applies the wrong medicine to the problem – people don’t need more capital, they need a way to free up the various resources they already have from the necessary conservativism of their current livelihoods strategies.  Adding loans, even small loans, to the current livelihoods mix simply increases risk without necessarily providing benefits that offset that risk.
Instead, it seems to me we ought to be shifting our focus toward microinsurance and away from microfinance – microinsurance provides the safety net that enables risk-taking at the household and community level, and therefore empowers people to use their existing resources in the manner they best see fit.  In short, it allows us to meet some of the financial requirements for adaptation without having to create new financial vehicles, and new forms of risk in already-stressed livelihoods.  This is a much more direct means of addressing the challenges to local livelihoods posed by climate change impacts and raising the capital needed to address future risks, rather than offering seed capital, hoping the business/effort works out with enough profit to pay back the loan and provide a large surplus that might then be employed to address climate change.
This strikes me as the adaptation and development version of Occam’s razor – when evaluating plans for future adaptation efforts, select the one that requires the fewest new institutions and steps to raise the capital/resources necessary to meet future challenges.

Measuring poverty to address climate change

Otaviano Canuto, the World Bank’s Vice President for Poverty Reduction, had an interesting post on HuffPo yesterday in which he argues that we cannot understand the true cost of climate change until we can better measure poverty – “as long as we are unable to measure the poverty impact of climate change, we run the risk of either overestimating or underestimating the resources that will be needed to face it.”  I agree – we do not have a particularly good handle on the economic costs of climate change right now, just loose estimates that I fear are premised on misunderstandings of life in the Global South (I have an extended discussion of this problem in the second half of my book).
However, I find the phrasing of this concern a bit tortured – we need to better understand the impact of climate change on poverty so we can figure out how much it will cost us to solve the problem . . . but which problem?  Climate change or poverty?  Actually, I think this tortured syntax leads us to a more productive place than a focus on either problem – just as I am pretty sure we can’t address poverty for most living in the Global South unless we do something about climate change (which I think is what Canuto was after), I don’t think you can address climate change without addressing poverty.  As I argue in my book:

Along globalization’s shoreline the effects of climate change are felt much more immediately and more directly than in advanced economies. More and more, as both climate change and economic change impact their capacity to raise the food and money they need to get through each day, residents of this shoreline find themselves forced into trade-offs they would rather not make.

For example, most of the farmers in Dominase and Ponkrum agree that deforestation lowers the agricultural productivity of their farms, due to both the loss of local precipitation that accompanies deforestation and the loss of shade that enables the growth of sensitive crops, such as cocoa. At the same time, the sound of chainsaws can still be heard around these villages every once in a while, as a head of lineage allows someone from town to cut down one of the few remaining trees in the area for a one-time payment of a few hundred dollars. These heads of family know that in allowing the cutting of trees they are mortgaging the future fertility of this land, but they see little other choice when crops do not come in as expected or jobs are hard to find.

From a global perspective, this example may not seem that dire. After all, when one tree falls, the impact on the global carbon cycle is minuscule. However, if similar stresses and decisions result in the cutting of thousands of trees each day, the impact can be significant. All along the shoreline, people are forced into this sort of trade-off every day, and in their decision- making the long-term conservation of needed natural resources usually falls by the wayside.

Simply put, we have no means of measuring or even estimating the aggregate effect of many, many small livelihoods choices and the land use impacts of those choices, yet in aggregate these will have impacts on regional and global biophysical processes.  When we fail to address poverty, and force the global poor into untenable decisions about resource use and conservation, we create conditions that will give us more climate change.  If we don’t do a better job of measuring poverty and the relationship of the livelihoods and land use decision-making of the poor (something I have addressed here), we are going to be caught by surprise by some of the biophysical changes that persistent poverty might trigger.