Human intervention: help or hindrance?

http://www.wupr.org/2010/04/14/spin-till-you-win-chapter-2/20090831-climate-engineer/

In our rush to try to prevent severe climate change, scientists from the University of Reading have shown that one of the most credible methods, injecting reflective particles into the stratosphere, may have negative consequences for tropical rain forests.

The idea is that theses reflective particles should absorb and reflect incoming solar radiation, thus reducing that which reaches the planet and enters the greenhouse cycle inside our polluted atmosphere. The research team found that as well as absorbing heat coming in from the Sun, the particles also absorb some of the heat energy that comes from the surface of the planet. The heating this causes acts to stabilise this part of the atmosphere, but by making it more stable it reduces the upwelling of air in the  tropical overturning circulation. This then reduces the supply of warm moisture laden air that provides important rainfall, apparently reducing it by up to 30%.

However, others have questioned their findings, and the researchers admit that this was the most extreme model result in extreme warming scenarios. It seems that we can never know the true consequences of climate engineering until we try them for real. Have a read of the BBC report and the paper itself to find out more:

Matt McGrath, "Geoengineering plan could have 'unintended' side effect", http://www.bbc.co.uk/news/science-environment-25639343

Ferraro. A., J., E. J. Highwood and A. J. Charlton-Perez, (2014)"Weakened tropical circulation and reduced precipitation in response to geoengineering" Environmental Research Letters, 9, 1

What do tipping points mean to us?

As discussed in previous posts, tipping points are a concern for scientists and policy-makers due to the threat they pose to natural resources, ecosystem services and human well-being (Werners et al. 2013). Societies and economies across the globe are reliant on climate and ecosystem services in order for their current success, and also for that of future generations (Folke, C. 2006). Despite our dependence on natural resources, uncontrolled usage amongst other factors has depleted resources, whilst changing the composition of the atmosphere through emissions of greenhouse gases and enhancing global climate change. Climate change is only one of the challenges the global community faces today in terms of continuing development at a sustainable rate.

Werners et al. (2013) state that “climate change shifts the challenge for sustainability from preserving natural resources for future generations to strengthening resilience and adaptive capacity in social–ecological systems”. This means that policy making and resources management must change from a conservation basis to one that manages change and adaptation (Werners et al. 2013). Thresholds and tipping points, along with their properties and mechanisms, are important points for sustainability science, and their uncertainty is a big challenge when trying to remain sustainable.

Previous posts have mentioned that some systems have an indicator of change, if examined closely, which allows us either to mitigate against the changes or to prevent them from occurring where possible.  Biggs et al. (2009) found that if drivers of a system can only be manipulated gradually, action is needed much before a regime shift in order to prevent it, but if drivers can be rapidly altered, the action aversive action can be delayed until a shift is underway. However, these large, noticeable increases in the indicators only tend to occur once a regime shift has started, which is usually too late for human intervention to avert a shift (Biggs et al. 2009). Huntington et al. (2012) out into perspective the challenge we face and what it means for the average human:  “rapid sea level rise, for example from accelerated melting of the Greenland ice sheet, will create a choice between protection and abandonment for coastal regions throughout the world, a potential global tipping point” (Huntington et al. 2012).

Climate change is a challenge that most, if not all, governments cannot stretch to financially, and thus beyond a point, individuals must bear the costs or adapt to new circumstances, creating political-economic tipping points in countries everywhere (Huntington et al. 2012). The scale of the battle ahead depends largely on greenhouse gas emissions reductions, with temperature increase being a trigger for many of the fragile Earth systems responses. With many of the tipping points unknown, and the amplifying feedbacks and time-lag effects in systems underestimated (Werners et al. 2013), the challenge ahead is vast.

Biggs, R. S. R. Carpenter and W. A. Brock (2009) “Turning back from the brink: Detecting an impending regime shift in time to avert it” PNAS, 106, 3, 826–831

Folke, C.(2006) “Resilience: The emergence of a perspective for social–ecological systems analyses” Global Environmental Change 16, 253–267

Huntington, H.,P., E. Goodstein and E. Euskirchen (2012) “Towards a tipping point in responding to change: rising costs, fewer options for Arctic and global societies” Ambio. 41, 1, 66-74

Werners, S., E., S. Pfenninger, E. van Slobbe, M. Haasnoot, J. H Kwakkel and R. J. Swart, (2013) “Thresholds, tipping and turning points for sustainability under climate change” Current Opinion in Environmental Sustainability, 5, 334–340

Decline of the Mammals

There has been much debate about the cause of mass extinctions at the last major global climate upheaval: the Holocene glacial to interglacial transition (Lister and Stuart, 2008). Vegetational belts and mammalian communities underwent major reorganisation, with many large mammals becoming extinct, and causality arguments generally revolve around a joint cause of human and climate. Evidence of these extinctions can be found from palaeontology, climatology, archaeology and ecology, using radiocarbon dating to temporally place each piece of evidence (Barnosky et al. 2004). Barnosky et al. (2004) detail how there is strong evidence for human induced population shifts and extinctions, but that climate change also plays a significant if not dominant role in all or some of the scenarios.

From: http://trueunknown.files.wordpress.com/2012/03/mammoths_wooly.jpg

The woolly mammoth (Mammuthus primigenius) is one of the better studied large mammals as an example of mass extinction. Sher (1997) proposed a ‘retreat to the north’ in Eurasia, where distribution of mammoths steadily contracted, until mammoth were restricted to Northern Siberia around 12 ka BP before finally becoming extinct. Stuart et al. (2002) researched further into this, and found this model to be fitting but to overlook the complexity of the pattern of extinction. They suggest, for example, absence and then re-colonization of the Russian Plain and even re-entry to Europe as the Fennoscandian ice sheet retreated (Stuart et al. 2002).

Lima-Ribeiro et al. (2013) studied two Proboscidean (mammoth) species in which they found a large contraction in the geographic range size: Cuvieronius hyodon and Notiomastodon platensis. Both were narrowly distributed on scattered patches habitat refugia around 11 ka, the period in which the earliest humans probably arrived in South America. Under the unsuitable climatic condition at this time, both Proboscideans would be extinct after about 550 years of human hunting, but if climatic conditions were suitable, like in Last Glacial Maximum (LGM), the time-for-extinction would be at least 3 times longer given the same human pressures (Lima-Ribeiro, 2013).

Cortell (2012), in his review of “Driven to Extinction: The Impact of Climate Change on Biodiversity” by Richard Pearson, makes the point that there is a huge amount of uncertainty when discussing climate change.  There is uncertainty in the impacts and extent of anthropogenic climate change, in the future trends in greenhouse gases, in the models we use to predict climate from these trends, and then uncertainties in the impacts of these changes on populations, species, and ecosystems, but that uncertainty should not become the key message (Cortell, 2012). The concluding paragraph of each paper encountered holds the same message: there is a need for more data before can we adequately attempt to answer the question of the cause or causes of extinction: climatic/environmental change or ‘overkill’ by human hunters (Stuart et al. 2002). This is despite many recent studies which have provided significant new finds and radiocarbon dating evidence, as well as other proxy indicators (Stuart et al. 2002), which will help to reduce uncertainty. These debates are ongoing, and it with more reading it becomes clear that the debate is not over choosing human or climate induced shifts, but in the amount of input that each of the factors had.

Barnosky, A., D., P. L. Koch, R. S. Feranec, S., L., Wing and A. B. Shabel (2004) “Assessing the causes of Late Pleistocene Extinctions on the Continents” Science, 306, 70, 70-75

Lima-Ribeiro, M., S., D. Nogués-Bravo, L. C. Terribile , P. Batra and J. A. F.  Diniz-Filho  (2013) “Climate and humans set the place and time of Proboscidean extinction in late Quaternary of South America” Palaeogeography, Palaeoclimatology, Palaeoecology, 392, 546–556

Lister, A., M., and A. J. Stuart (2008) “External Geophysics, Climate and Environment The impact of climate change on large mammal distribution and extinction: Evidence from the last glacial/interglacial transition” C. R. Geoscience 340, 615–620

Richard T. Corlett, (2012) "Climate-driven extinction, now and in the near future", Trends in Ecology and Evolution, 27, 8

Sher, A.V., 1997. "Late-Quaternary extinction of large mammals in northern Eurasia: a new look at the Siberian contribution". In: Huntley, B., Cramer, W., Morgan, A.V., Prentice, H.C., Allen, J.R.M. (Eds.), Past and Future Rapid Environmental Changes: the Spatial and Evolutionary Responses of Terrestrial Biota. Springer-Verlag, Berlin, Heidelberg, New York, pp. 319–339.

Stuart, A., J., L. D. Sulerzhitsky, L. A. Orlav, Y. V. Kuzmin and A. M. Lister, (2002) “The latest woolly mammoths (Mammuthus primigenius Blumenbach) in Europe and Asia: a review of the current evidence” Quaternary Science Reviews, 21, 1559–1569

Forests Fighting Climate

The rise of populations and technological and social development has driven up global demands for bio fuels and grain as feed for animals for meat. This creates powerful incentives for agro-industries to expand into forest regions, notably the Amazon rainforest, causing dramatic and often irreversible change to the environment (Nepstad et al. 2008). Forest fires, drought and logging increase susceptibility to further burning while deforestation and smoke can inhibit rainfall, exacerbating fire risk in this positive feedback loop. If sea surface temperature anomalies and associated droughts to continue, approximately 55% of the forests of the Amazon will be cleared, logged, damaged by drought or burned over the next 20 years, as shown in Figure 1 (Nepstad et al. 2008). The trees of the Amazon contain 90–140 billion tons of carbon, equivalent to approximately 9–14 decades of current global human-induced carbon emissions each year (Canadell et al. 2007). A lot of this is released back to the atmosphere, partly by a reduction in carbon uptake by the trees, but also in burning and soil process changes. Lenton et al. (2008) predict a timescale of 50 years for the Amazon to switch to an alternative state with severely decreased biodiversity and rainfall. A large fraction of precipitation in the Amazon basin is recycled, and reductions in precipitation lead to  lengthening of the dry season, and increases in summer temperatures that make it forest re-establishment difficult, and suggest the system may exhibit bi-stability, with two stable states (Lenton et al. 2008).

Figure 1 - Amazon forest degradation map (Nepstad et al., 2008)

It is also proposed that human induced climate change is impacting boreal forests, as shown by a study in the western United States that links forest “greenness” to fluctuating year-to-year snow-pack. This study showed that mid-elevation - those between approximately 6,500 to 8,000 feet - mountain ecosystems are most sensitive to rising temperatures and changes in precipitation and snow-melt (Trujillo et al, 2012). The study by University of Colorado, funded by NASA, used satellite and ground data to identify the threshold where mid-elevation forests sustained primarily by moisture shift into higher-elevation forests sustained primarily by sunlight and temperature. They found that  mid-elevation forests are very sensitive to snow that fell the previous winter, with about half of the mid-elevation forest greenness attributed to the previous winter’s snow accumulation (Trujillo et al, 2012). Climate studies indicate that snow-pack in mid-elevation forests in the Western United States and in similar forests around the world has been decreasing in the past 50 years due to regional warming (Trujillo et al., 2012), producing a feedback system that will continue to increase warming due to decreased albedo and reduced carbon sequestration. Lenton et al. (2008) predict that the decline of boreal forest would cause a biome switch on a scale of about 50 years, transitioning to open woodlands or grasslands. Under climate change the complex interaction between tree physiology, permafrost, and fire would experience increased water stress, increased peak summer heat stress causing increased mortality, vulnerability to disease and subsequent fire, as well as decreased reproduction rates (Lenton et al., 2008)

Nepstad et al (2008) conclude that trends in Amazon economies, forests and climate may lead to the replacement or severe degradation of more than half of the Amazon basin forests by 2030. They suggest that recent success in changing landholder behaviour, as well as the designation of protected areas and practical techniques for concentrating livestock production on smaller areas of land that could reduce the likelihood of severe environmental change.

Canadell, J. G. et al. (2007) “Contributions to accelerating atmospheric CO2 growth from economic activity, carbon intensity, and efficiency of natural sinks”. Proc. Nat. Acad. Sci. USA 104, 18 866–18 870.

Lenton, T., M., H. Held, E. Kriegler, J. W. Hall, W. Lucht, S. Rahmstorf, and H. J. Schellnhuber, (2008) “Tipping elements in the Earth’s climate system” PNAS, 105, 6, 1786–1793

Nepstad, D., C., C. M. Stickler, B. Soares-Filho, and F. Merry. (2008) Interactions among Amazon land use, forests and climate: prospects for a near-term forest tipping point. Phil. Trans. R. Soc. B 363, 1737–1746

Trujillo, E., N. P. Molotch, M. L. Goulden, A. E. Kelly and R.C. Bales (2012) “Elevation-dependent influence of snow accumulation on forest greening” Nature Geoscience, 5, 705–709

Monsoons and their tipping points

The future evolution of monsoon rainfall under increasing levels of atmospheric CO2 and aerosol pollution is highly uncertain, and although it is generally accepted that greenhouse gases tend to increase monsoon strength, distribution of aerosols may have other effects, leaving the overall effect uncertain (Leverman et al. 2009). Summer monsoons are known to vary at orbital and longer timescales as a result of external forcing, but of more interest are the abrupt changes that have occurred without any known forcing over shorter millennial and suborbital scales (Gupta et al. 2003). Millennial-scale abrupt monsoon events within the current interglacial have been linked to North Atlantic climatic changes, according to the hypothesis that increased winter snowfall weakens the monsoon the following summer (Meehl, 1994).

Figure 1 - results of study of G. bulloides and haematite to
show periodically weakened monsoon.

Tipping points have been crossed in monsoon systems before, switching between two stable states. During the Holocene and last glacial period, rainfall in India and China has undergone strong and abrupt changes associated with these states (Leverman et al. 2010). Zickfeld et al. (2005) developed a simple model which identified two stable states in the Indian summer monsoon, potentially allowing for rapid transition between radically different monsoon circulations. We can examine these state shifts by looking at magnetic susceptibility in sediments, oxygen isotopes, dust flux in marine cores, pollen and many others (Feng et al, 2006). Gupta et al (2006) observed seven intervals of weak summer monsoon during the Holocene  (highlighted in the grey bars in Fig. 1) that can be correlated within age uncertainties to millennial-scale Dansgaard-Oescher events in the North Atlantic. These were identified using haematitie and planktonic foraminifera Globigerina bulloides, a unique proxy for monsoon circulation in the tropics that shows linear correlation with the surface cooling due to upwelling (Gupta et al. 2006). These weak phases correlate with North Atlantic cool peroids, and monsoon maxima with warm periods in the North Atlantic. Gupta et al (2006) suggest that the monsoon could be sensitive to relatively small changes in forcing of 0.25% change in solar output, or a 2°C change in sea surface temperature.

Leverman et al (2010) suggest that North Atlantic climatic events had a very small effect, but internal feedback of the monsoon amplified changes. The main feedback is the release of latent heat from precipitation over land, which increases to the temperature difference between land and ocean. This pushes stronger winds from ocean to land, thus increasing advection of moisture over land, enhancing precipitation and associated release of latent heat. If monsoon winds get even slightly weaker, this feedback is reduced significantly. The abrupt transition emerges through an additional stabilizing effect of the direct heat advection which is cooling the atmospheric column and is also reduced for reduced monsoon winds. This continues, along with other feedbacks, until a threshold is reached at which condensation/precipitation cannot provide the latent heat needed to maintain a circulation (Leverman et al, 2010).

Monsoons are depended on by millions of people in some of the world’s most densely populated regions for water for agriculture and fisheries, recharge of aquifers and maintenance of ecosystems amongst others. It is therefore in our best interest to mitigate or at least understand the impact that natural variability and global climate change may have on reaching a critical threshold in monsoon systems and turning of the cycle for good.

Gupta, A.K., D. M. Anderson, J.T. Overpeck (2003) “Abrupt changes in the Asian southwest monsoon during the Holocene and their links to the North Atlantic Ocean”. Nature 421, 354–356.

Levermann, A., J. Schewe, V. Petoukhov, and H. Held (2009) “Basic mechanism for abrupt monsoon transitions” PNAS, vol. 106, 49, 20572–20577

Meehl, G. A. (1994) “Influence of the land surface on the Asian summer monsoon, external conditions versus internal feedbacks”. Journal of Climate. 7, 1033–1049

Zickfeld K, B. Knopf, V. Petoukhov and H. J. Schellnhuber (2005) “Is the Indian summer monsoon stable against global change?” Geophysical Research Letters 32:L15707.

To the Point Prediction

Luckily, we are not left blindly waiting for tipping points to occur. Once we know that they exist, or have occurred in the past, we can look out for early warnings. Early warning can take several forms, as simple as the knowledge that an event could occur and that it is becoming more likely, to a forecast of its timing and modelling of future events (Lenton, 2011). Slowing down of a system before a bifurcation occurs has been noticed in present day systems, climate-model output and palaeoclimate data; it causes the intrinsic rates of change in a system to decrease, and thus the state of the system becomes more like its past, alternative state (Lenton, 2011). Similar to this are ‘small-signal amplification’ and ‘noise amplification’, where small intermittent perturbations or noise are amplified at particular frequencies depending on the type of bifurcation (Lenton, 2011). Ditlevsen and Johnsen (2010) describe the two generic characteristics of the approach to a bifurcation point as increased variance of the observed signal and the corresponding increased auto-correlation related to critical slow down. They do however, stress that the early warning of climate or structural change in any system can only be obtained if increase in both variance and auto-correlation is observed, and that conclusions drawn based solely on one of the signals and not the other are invalid (Ditlevsen and Johnsen, 2010).

http://cpa.ds.npr.org/wamc/audio/2013/11/11-25-13_harvard_forest_troubled_lakes.mp3

In this talk, (see link above) Dr. Aaron Ellison talks about ecosystems and tipping points, briefly discussing the findings of his 2013 collaborative paper – Sirota et al. 2013.

Image from North Carolina Native Plant Society,
 http://www.ncwildflower.org/index.php/plants/details/sarracenia-purpurea/

Although experimental induction of tipping points is rare due to the scale of the system in question, Sirota et al. (2013) experimentally induced a shift from aerobic to anaerobic states in a miniature aquatic ecosystem of the self-contained pools that form in leaves of the carnivorous northern pitcher plant, Sarracenia purpurea, in order to represent the shift from a clear, oligotrophic lake to a murky, eutrophic one. The plants were fed controlled amounts of dried, ground arthropod prey. In controls, the concentration of dissolved oxygen replicates exhibited regular diurnal cycles associated with daytime photosynthesis and nocturnal plant respiration. Results showed that increasing organic-matter loading led to predictable changes in O2 dynamics, with high loading consistently driving the system past a well-defined tipping point. The Sarracenia micro ecosystem therefore functions as a compliant experimental system in which to examine prediction and management of tipping points.

This, as well as other models, tests and qualitative observations, show promise for early warning of bifurcation-type climate tipping points, but there are potential limitations of ‘false alarms’ (false positives) and ‘missed alarms’ (false negatives) (Lenton, 2011) that must be considered before jumping to conclusions. There is, however, hope for a better understanding of impending tipping points and how we can mitigate, if not prevent, them.

Ditlevsen, P. D. & Johnsen, S. J. (2010). “Tipping points: Early warning and wishful thinking”. Geophysical  Research Letters, 37.

Lenton, T., M., (2011) “Early warning of climate tipping points” Nature Climate Change, 1, 201-209

Sirota, J., B. Baiser, N. J. Gotelli, and A. M. Ellison. 2013. Organic-matter loading determines regime shifts and alternative states in an aquatic ecosystem. Proceedings of the National Academy of Sciences, USA. 110: 7742-7747.

Tipping the biosphere

My previous posts have described how critical transitions lead to state shifts, causing abrupt changes and unanticipated effects. Although humans appear to dominate Earth, we have a huge dependence on the biosphere and ecosystem functioning for resource capture, primary production, and decomposition and recycling of nutrients, as well as potentially ecosystem stability (Cardinale et al, 2012). If the relationships mentioned by Cardinale et al (2012) transpose to a planetary scale, the implication is that global biodiversity and species richness positively correlate with the resilience and functioning of the biosphere (Lenton et al. 2013). For this reason, there has been an almost compulsory growth in interest in forecasting biological responses on all temporal and spatial scales (Barnosky et al, 2012).

But how do these changes occur?

Barnosky et al. (2012) describe biological states as neither steady nor in equilibrium, and say critical thresholds may be crossed by a ‘threshold’ effect in incremental values or a ‘sledgehammer’ effect from a large event, such as forest clearance. Localized ecological systems are known to shift abruptly and irreversibly across critical thresholds to new mean conditions outside the range of fluctuation of the previous state (Barnosky et al, 2012). Tipping points in the terrestrial biosphere can also cross continents if vegetation and atmosphere are tightly coupled, (Lenton et al. 2013), potentially becoming global if there are interrelated drivers acting on a global biological or ecological threshold, causing all locations to ‘tip’ simultaneously (Brook et al. 2013). Brook et al (2013) think this is unlikely given the heterogeneity of climate change and ecosystems. Jefferies et al. (2006) show that intercontinental biotic connectivity and coupled regime shifts have been demonstrated by intensive agriculture in western USA, causing dramatic losses of Arctic ecosystem structure and biogeochemical cycling due to increased populations of migrating snow geese, promoted by agricultural crop as increased food source. Similarly, coral reef ecosystems appear to have disappeared globally and suddenly at the Triassic–Jurassic transition, driven by global increase in CO2 causing increased ocean acidity and temperature (Brook et al. 2013).

What are the consequences?

Several extinction events have been linked to oceanic anoxic events, crossing the tipping point in which the onset of anoxia on shelf seas triggered is phosphorus recycling from sediments, fuelling a spread of anoxia, and Lenton et al. (2013) state that the effects on biodiversity were a consequence rather than an intrinsic part of the tipping mechanism. As well as this may be, feedback loops often mean that a biological forcing applied on one scale can cause a critical transition to occur on another scale, for example, anthropogenic selection for younger maturation of individual cod as a result of heavy fishing pressure; and cascades of ecological changes triggered by the removal of top predators (Barnosky et al. 2012). Lenton et al (2013) suggest that species richness is a poor and misleading indicator of Earth-system function, with minimal basis in ecological theory for identifying a number of unique species required to maintain the general health of the biosphere. They also point out the distinction between tipping points in climate or biogeochemical dynamics and subsequent ecological responses to them (Lenton et al. 2013).

To summarize, the terrestrial biosphere, in isolation, is not the right place to be looking for a planetary-scale tipping point; the complex coupled dynamics of the Earth system as a whole need to be assessed (Lenton et al, 2013). Many of the feedbacks, and their consequences for other systems and scales, in the face of changing global climate are as yet unknown. However, planetary scale critical transitions have occurred previously in the biosphere, and evidence suggests that humans are now forcing another such transition, potentially transforming Earth into an irreversible state unknown in human history (Barnosky et al. 2012). As Hobbs et al. (2006) suggest, ‘we should perhaps move away from the one-dimensional dichotomy between natural and human dominated to a more effective depiction of how human beings interact with nature’.

Barnosky et al. (2012) “Approaching a state shift in Earth’s Biosphere”, Nature, 486, 52-58
Brook, B.W. et al. (2013) "Does the terrestrial biosphere have planetary tipping points?" Trends in Ecology & Evolution, 28, 396–401.

Cardinale, B.J. et al. (2012) "Biodiversity loss and its impact on humanity". Nature 486, 59–67
Hobbs, R.J. et al. (2006) "Novel ecosystems: theoretical and management aspects of the new ecological world order". Global Ecology and Biogeography. 15, 1–7

Jefferies, R.L. et al. (2006) "A biotic agent promotes large-scale catastrophic change in the coastal marshes of Hudson Bay". Journal of Ecology. 94, 234–242

Lenton, T., M., and H. T. P. Williams (2013) “On the origin of planetary-scale tipping points, Trends in Ecology & Evolution, 28, 7, 380-382