Category Archives: Biology Education

Ecology for Now or the Future

With the general belief that the climate is changing and that these changes must continue for at least 100 years due to the atmospheric physics of greenhouse gases, ecologists of all stripes face a difficult decision. The optimist says to continue with current studies, with due analysis of data from the past getting published, with the assumption that the future will be like the past. We know that the future will not be like the past so our belief in the future is a projection not a prediction. Does this mean that ecologists today should really be in the History Department of the Faculty of Arts?

Well, no one would allow this to happen, since we are scientists not the connivers of untestable stories of past events that masquerade as history, a caricature of the scientific method. The general problem is applicable to all the sciences. The physical sciences of physics and chemistry are fixed for all eternity, so physicists do not have to worry. The geological sciences are a mix of history and applied physics with hypotheses that are partly testable in the current time but with an overall view of future predictions that have a time scale of hundreds to thousands of years. One way to look at this problem is to imagine what a textbook of Physics would look like in 100 years, compared to a textbook of Geology or Biology or Ecology.

Ecological science is burdened by the assumption of equilibrium systems which we all know to be false since we have the long-term evidence of evolution staring at us as well as the short-term evidence of climate change. Ecologists have only two options under these constraints: assume equilibrium conditions over short time-frames or model the system to provide future projections of change. First, assume we are dealing with equilibrium systems within a defined time frame so that we can define clear hypotheses and test them on a short time scale of 10 to perhaps 20 years so we reach a 10–20-year time scale understanding of ecological processes. This is how most of our ecological work is currently carried out. If we wish to study the pollination of a particular set of plants or a crop, we work now to find out which species pollinate, and then hopefully in a short time frame try to monitor if these species are increasing or declining over our 10–20-year time span. But we do this research with the knowledge that the time frame of our ecological information is at most 100 years and mostly much less. So, we panic with bird declines over a 48 year time span (Rosenberg et al. 2019) with an analysis based on unreliable population data, and we fail to ask what the pattern might look like if we had data for the last 100 years or what it might look like in the next 100 years. We have the same problem with insect declines (Wagner et al. 2021, Warren et al. 2021).

If we wish to improve these studies we need much better monitoring programs, and with some notable exceptions there is little sign yet that this is happening (Lindenmayer et al. 2018, 2020). But the real question must come back to the time frame and how we can make future projections. We cannot do this with a 3-year funding cycle. If most of our conservation problems can be traced to human alterations of the biosphere then we must document these carefully with the usual scientific methods. At present I would hazard a guess that 95% of all endangered species are due directly to human meddling, even if we remove the effect of climate change.  

One way to make future projections is to model the population or community under study. A great deal of modelling is being done and has been done but there is little follow-through of how accurate the model predictions have been and little plan to test these projections. We may be successful with models that predict next year’s population or community dynamics, given much background data but that is only a tiny step to estimating what will be there in even 20 or 30 years. We need testable models more than panic calls about declining species with no efforts to discover if and why.

Where does that leave us? We must continue to analyse the ecological state of our current populations and communities and beware of the assumption that they are equilibrium systems. While physics for the future is rather well settled, ecological questions are not.

Lindenmayer, D.B., Likens, G.E., and Franklin, J.F. (2018). Earth Observation Networks (EONs): Finding the Right Balance. Trends in Ecology & Evolution 33, 1-3. doi: 10.1016/j.tree.2017.10.008.

Lindenmayer, D.B., Kooyman, R.M., Taylor, C., Ward, M., and Watson, J.E.M. (2020). Recent Australian wildfires made worse by logging and associated forest management. Nature Ecology & Evolution 4, 898-900. doi: 10.1038/s41559-020-1195-5.

Rosenberg, K.V., et al. (2019). Decline of the North American avifauna. Science 366, 120-124. doi: 10.1126/science.aaw1313.

Wagner, D.L., Grames, E.M., Forister, M.L., Berenbaum, M.R., and Stopak, D. (2021). Insect decline in the Anthropocene: Death by a thousand cuts. Proceedings of the National Academy of Sciences 118, e2023989118. doi: 10.1073/pnas.2023989118.

Warren, M.S., et al. (2021). The decline of butterflies in Europe: Problems, significance, and possible solutions. Proceedings of the National Academy of Sciences 118 (2), e2002551117. doi: 10.1073/pnas.2002551117.

On Biodiversity Science

With David Attenborough and all the amazing picture books on biodiversity there can be few people in the world who have not been alerted to the array of beautiful and interesting species on Earth. Until recently the subject of biodiversity, known to First Nations since long, long ago, had not entered the western world of automobiles, industry, farming, fishing, music, theatres, and movies. Biodiversity is now greatly appreciated by most people, but perhaps more as entertainment for western societies and more for subsistence food in less wealthy parts of our world.

There are many different measures of ‘biodiversity’ and when discussing how we should protect biodiversity we should be careful about exactly how this word is being used. The number of different species in an area is one simple measure of biodiversity. But often the types of organisms being considered are less well defined. Forest ecologists attempt to protect forest biodiversity, but logging companies are more concerned only with trees and tree size for commercial use. Bird watchers are concerned with birds and have developed much citizen science in counting birds. Mushroom connoisseurs may worry about what edible mushrooms will be available this summer. But in many cases biodiversity scientists recognize that the community of organisms and the ecosystem that contains them would be a more appropriate unit of analysis. But as the number of species in an ecosystem increases, the complexity of the ecosystem becomes unmanageable. A single ecosystem may have hundreds to thousands of species, and we are in the infant stage of trying to determine how to study these biological systems.

One result is that, given that there are perhaps 10 million species on Earth and only perhaps 10,000 biologists who study biodiversity, where do we begin? The first and most popular way to answer this question is to pick a single species and concentrate on understanding its ecology. This makes are researcher’s life fairly simple. If elephants in Africa are under threat, find out all about the ecology of elephants. If a particular butterfly in England is very rare, try to find out why and how to protect them. This kind of research is very valuable for conservation because it provides a detailed background for understanding the requirements of each species. But the single species approaches lead into at least two quagmires. First, all species exist in a web of other species and understanding this web greatly expands the problem. It is possible in many cases to decipher the effects other species have on our elephants or butterflies, but this requires many more scientists to assist in analysing the species’ food chain, its diseases, its predators and parasites, and that is only a start. The second quagmire is that one of the general rules of ecology is that most species on Earth are rare, and few are common. So that we must concentrate our person-power on the common species because they are easier to find and study. But it is often the rare species that are of conservation concern, and so we should focus on them rather than the common species. In particular, given that only about 10% of the species on Earth have been described scientifically, we may often be assigned a species that does not have any information on its food habits or habitat requirements, its distribution, and how its abundance might be changing over time, a lifetime research program.

The result of this general overview is that the mantra of our day – Protect Biodiversity – begins as a compelling slogan and ends in enormous scientific complexity. As such it falls into the category of slogans like ‘Reduce Poverty’ and ‘Peace on Earth’, something we can all agree on, but the devil is in the details of how to achieve that particular goal.

One way to avoid all these pitfalls has been to jump over the problems of individual species and analyse communities of species or entire ecosystems. The result of this approach is to boil down all the species in the community to a number that estimates “biodiversity” and then use that number in relating ‘biodiversity’ to community attributes like ‘productivity’ or ‘stability’. This approach leads to testing hypotheses like ‘Higher biodiversity leads to greater stability’. There are serious problems with this approach if it is used to test any such hypothesis. First, biodiversity in this example must be rigorously defined as well as stability. The fact that higher biodiversity of butterflies in a particular region is associated with a more stable abundance of these butterflies over time is worthy of note but not of generalization to global communities or ecosystems. And as in all ecological studies we do not know if this is a generalization applicable to all butterfly populations everywhere until many more studies have been done.

A second problem is that this community or ecosystem approach to address ecological questions about biodiversity is not very useful in promoting conservation which boils down to particular species in particular environments. It should force us back to looking at the population ecology of species that are of conservation concern. It is population ecologists who must push forward the main goals of the conservation of the Earth’s biota, as Caughley (1994) recognized long ago.

The practical goals of conservation have always been local, and this constraint is mostly ignored in papers that demand some global research priorities and global ecological rules. The broad problem is that the conservation of biodiversity is a gigantic scientific and political problem that is currently underfunded and in its scientific infancy. At the present too much biodiversity research is short-term and not structured in a comprehensive framework that identifies critical problems and concentrates research efforts on these problems (Nichols et al. 2019, Sutherland et al. 2018). One more important issue for a seminar discussion group. 

Caughley, G. (1994). Directions in conservation biology. Journal of Animal Ecology 63, 215-244. doi: 10.2307/5542

Nichols, J.D., Kendall, W.L., and Boomer, G.S. (2019). Accumulating evidence in ecology: Once is not enough. Ecology and Evolution 9, 13991-14004. doi: 10.1002/ece3.5836.

Sutherland, W.J., Butchart, Stuart H.M., Connor, B., Culshaw, C., Dicks, L.V., et al. (2018). A 2018 Horizon Scan of Emerging Issues for Global Conservation and Biological Diversity. Trends in Ecology & Evolution 33, 47-58. doi: 10.1016/j.tree.2017.11.006.

Some Simple Arithmetic

In this year of Covid, we all listen to the news media about the need for the governments of the world to support the economy, and the fiscal price of such support. This has given me the interest to do a bit of simple arithmetic. Arithmetic has no political agenda, and this blog is not about ecological principles, but is rather an attempt to bring the world of numbers into some kind of common sense.

I can start anywhere, but since I am in Canada, I will pick first on it. This week we were told that the Federal Government of Canada took on $ 144.5 billion in debt in 2021, and this has moved the country to a federal debt of more than $ 1 trillion. These numbers are completely opaque to me so I will do some arithmetic on them to encourage understanding.

First, write out one hundred forty-four billion dollars. $144,500,000,000. Now convert this to per capita debt by dividing it by the entire population of Canada, 38 million people, or 38,000,000 give or take a few. This provides us with $ 3802.63 that each of us owe our Canadian government for 2021 to eliminate the 2021 deficit. Now let us imagine that we are very patriotic and wish to pay off all our Federal debt in Canada this year. The simple arithmetic now shows that each of us needs to pay $ 26,316.00 to clear our total Federal debt to zero. Depending on where you are sitting, this is very much money or very little. If you want to buy a house in Vancouver, it will cost you on average $ 1,210,000.00 so that your “debt” to cover our total Federal debt to date would be about 2% of the price of your house. If you live in the rest of Canada, your “debt” would amount to about 5% of the average house cost. I leave you to decide if this is a large problem or a small problem.

The USA is a bit more in Federal debt at $ 28.9 trillion, which works out to about $87,000. per person to pay off the entire current debt now, or about $8400 for each resident to pay off the federal deficit of $2.77 trillion for 2021 alone.

One bank in Canada just spent $ 17 billion to buy another Bank in California. Imagine of even a small part of the $17 billion was used to deliver housing to poor people. We can translate $17 billion or perhaps to be generous say only $10 billion of this excess profit into small houses for homeless people. With these numbers, we could build 1600 small houses for the poor (if we estimate about $60,000 to build a small 700 sq. ft. house in 2021). Or at $ 80,000,000. per medium size hospital, we could build 125 hospitals across Canada.

These kinds of figures are a bit sobering for a retired person, and of course are highly oversimplified since they omit individual debts and state and provinces debts. One’s view of all this seems to fall into two or three camps. First, and most simply we will grow our economy out of the debts as we did after World War II. This simple solution would appear to run into the eternal growth problem. Second, we really have no problem at all since Modern Monetary Theory (Kelton 2020) suggests that governments just keep printing more money and carry on as long as the interest rate stays low, and the printing presses do not wear out. This will work well for large countries but not for small ones, so if you live in Belgium, you will probably have a different view of this than if you live in the USA or China. Third, we will have to pay the piper in one way or another, and we may be in for a rough ride in the future. I do not pretend to understand the economics of all this and hence for me this is only a blog about arithmetic.

If there is a recommendation that might follow from this simple analysis it is that radio and TV announcers should translate these kinds of financial data into real-world numbers, even if it must be something like $1 billion is 10 cups of Starbucks coffee for every adult living in Canada today, or 1 coffee for every adult living in the USA, or $10 a day childcare for one year for 400,000 children. That would at least translate financial data into something useful.  

Kelton, S. 2020.The Deficit Myth: Modern Monetary Theory and the Birth of the People’s Economy.  Public Affairs, Hatchette Book Group, New York. 336 pp. ISBN-13: 9781541736184.

Have We Lost the Plot?

The decisions we make as a society depend directly on what knowledge we have achieved through our educational system. Two major problems the Earth faces occupy the day – the Covid epidemic and climate change. In both major emergencies, a significant fraction of humanity seems to have completely missed the plot and I would like to ask a few simple questions about why this might be.

The Covid epidemic is indeed a global emergency, and if you do not recognize this you should stop reading here. We have had major human epidemics in the last 1000 years so we might start by asking what knowledge we have garnered from past events. Epidemics occur because a particular disease is transmissible among people, and the three most obvious observations that could be made from previous epidemics are that large groups of people should not congregate, travel should be restricted, and that people should always wear a mask, a point made very clearly in the 1918 flu epidemic. More recent medical studies since the 1940s have shown conclusively that immunity to any particular disease can be achieved by vaccination programs, and many people have been vaccinated over their lifespan to reduce greatly the chance of infection. So, to make the point simple, many people are alive today because of the vaccinations they have received over time.

Vaccine hesitancy at this time with respect to the Covid epidemic has been decreasing, and as more of the population becomes vaccinated, disease incidence should decline. My question is how did many people become educated in our schools about these general points and then join the anti-vaxxers? I do not know the answer to this, but at least part of the answer might be a failure of our education systems.

A second emergency over climate change will probably be with us for a much longer time than the Covid pandemic, so we need to think very clearly about it. The problem in part is that climate change is long term (10-100+ years) and it is difficult to change human behaviour in a short time. Consequently, advances like renewable energy, solar panels on roofs, electric cars, and good insulation in houses need to be pushed by government policies. Since governments are too often concerned only about the next 4 years, and all the good policies will result in rising taxes, there is much talking but little action. Longer term issues like population control are too often swept under the table as too hot to handle. News outlets push panic buttons over reduced birth rates in the world today and translate this into immediate population collapse. Elementary issues of human demography that ought to be part of any curriculum are not understood, and the failure to appreciate the consequences of continued growth seem lost on much of the population. Consequently, part of our current problems involving action on the climate emergency must be laid to poor education about these simple matters.

We have gone through a long period when economics triumphed over ecology and sustainability, but that problem is rapidly being rectified. More people are recognizing that a single country cannot ignore global problems, conservation is strong on the agenda of many governments, although again these issues emit more talk than actions.

I certainly do not know the solution to these current issues but the polarization in the world today is strong enough to prohibit many policies being achieved that would improve and overcome our present emergencies. Unless we can achieve agreement on sustainable goals for all of society these emergencies will continue to build. Thinking that I could fly to Mars and get away from these problems is something even the British royalty recognize as ridiculous.

A few possible ideas:

  1. Call out and protest as much as you can about uninformed pseudo-scientific comments on ecology, economics, medical science, and sustainability. Demand political action on these two global emergencies now.
  2. Improve our education systems to demand a curriculum that addresses current problems of climate change and agriculture, population growth, medical history, disease, and the history of the biosphere.
  3. Get accurate data on global change and Covid from reliable sources.
  4. Never give up. Present scientific truth to counteract nonsense.
  5. And use social media effectively to improve communication of the science that speaks to the solution of these major problems.

Kolata, Gina B. (2019) Flu: The Story of the Great Influenza Pandemic of 1918 and the Search for the Virus that caused it.’ Atria Books: New York. 352 pp. ISBN: 978-0743203982

MacKenzie, Debora (2020) COVID-19: The Pandemic that Never Should Have Happened and How to Stop the Next One. Hachette Books: New York. 304 pp. IBN: 978-0306924248  (Published in North America in 2021 as Stopping the Next Pandemic, 339 pp. ISBN 978-036924224.)

Piketty, Thomas (2021). Time for Socialism: Dispatches from a World on Fire, 2016-2021
Yale University Press: New Haven, Connecticut. 360 pp. ISBN: 978-0300259667

Salamon, Margaret Klein (2020). Facing the Climate Emergency: How to Transform Yourself with Climate Truth. New Society Publishers: Gabriola Island, B.C. Canada. 160 pp. ISBN: 978-0865719415

Whither the Big Questions in Ecology?

The science of ecology grows and grows and perhaps it is time to recognize the subcultures of the discipline which operate as nearly independent areas of science. Few people today would talk of the science of physics or the science of chemistry, but rather the subcultures of physics or chemistry in which critical problems are defined and tested. In a sense this has already been recognized in ecology by the increase in specific journals. No one goes to Conservation Biology to look up recent studies in insect pest control, and no one goes to Limnology and Oceanography to research progress in theoretical ecology. So, by default we ecologists have already subdivided the overall broad science of ecology into subcultures, and the problem then arises when we must consider major issues or big questions like the ecological impacts of climate change that encompass multiple subcultures, and the more specific issue of how we educate students of all ages about the broad problems of ecology and the environment.

The education issue ought to be the easiest part of this conundrum to deal with. The simple rule – Teach the Principles – is what textbook writers try to do. But this is easier said than done. Jim Hone et al. (2015) took on the problem of defining the principles of applied ecology and consolidated these into 22 prescriptive and 3 empirical principles that could serve as a starter for this area of general ecology. The same compilation could be done in many subdisciplines of ecology and there are many good examples of this (e.g., Lidicker, 2020, Ryo et al. 2019). A plethora of ecology textbooks exist to pull the broad subject together, and they are interesting themselves in what they emphasize.  

The larger problem is in the primary literature of ecology, and I pick here four big questions in ecology in which communication could be improved that would be useful both to educators and to the public.

  1. Sustainability of the Earth’s Ecosystems. This broad area covers human population dynamics, which can be generalized to many other species by the principles of population ecology. It would include agricultural issues and the consequences of soil erosion and degradation and cover the basics of atmospheric chemistry at least to question whether everyone going to Mars is particularly useful. Where relevant, every ecological publication should address how this research addresses the large issue of sustainability.
  2. Climate Change Effects. There is a general understanding of the geographic distribution of vegetation communities on Earth, how these have changed in geologic time and are changing now but projections for the future are vague. Much research is ongoing, but the ecological time frame of research is still too short (Hagerman and Pelai 2018). Teaching what we know now would include the essential physics and chemistry of sea level rise, changes in the distribution of good and bad species, including human diseases, and simple warnings about investing in real estate in Miami Beach. Every prediction about climate change effects should include a time frame at which the predictions could be accepted or rejected. If ecologists are to affect government policies, a testable action plan must be specified lest we keep barking up the wrong tree.
  3. Current conflicts in managing the Earth’s natural resources. The concern here is the social and economic drivers of why we continue overfishing and overharvesting resources that result in damage to local environments, and how we can manage conflicts over these resources. To manage intelligently we need to understand the interactions of the major species involved in the ecological community. Ecosystem dynamics will be the central set of concepts here, and the large topic of the resilience of our Earth’s ecosystems. Ecologists are clear that the resilience of ecosystems is limited but exactly where those limits are is far from clear at the present time.
  4. Conservation of Biodiversity. The ecological factors that limit biodiversity, and the consequences of biodiversity loss are major areas of current research and communication to the public. While the volume of concern is high in this subdiscipline, advances in understanding lag far behind. We operate now with only the vaguest of principles of how to achieve conservation results. The set of conservation principles (Prober et al. 2019) interacts strongly with the 3 big questions listed above and should cover advances in paleoecology and the methods of defining ancient environments as well as current conservation problems. Understanding how social conflict resolution can be achieved in many conservation controversies links across to the social sciences here. 

The key here is that all these big questions contain hundreds of scientific problems that need investigation, and the background of all these questions should include the principles by which ecological science advances, as well as the consequences of ignoring scientific advice. For educators, all these big questions can be analysed by examples from your favourite birds, or large mammals, or conifer trees, or fishes so that as scientific progress continues, we will have increased precision in our ecological understanding of the Earth. And more than enough material to keep David Attenborough busy.

For ecologists one recommendation of looking at ecology through the lens of big questions should be to include in your communications how your findings illuminate the road to improved understanding and further insights into how the Earth’s biodiversity supports us and how we need to support it. Ecology is not the science of the total environment, but it is an essential component of it.

Hagerman, S.M. and Pelai, R. (2018). Responding to climate change in forest management: two decades of recommendations. Frontiers in Ecology and the Environment 16, 579-587. doi: 10.1002/fee.1974.

Hone, J., Drake, A., and Krebs, C.J. (2015). Prescriptive and empirical principles of applied ecology. Environmental Reviews 23, 170-176. doi: 10.1139/er-2014-0076.

Lidicker, W.Z. (2020). A Scientist’s Warning to humanity on human population growth. Global Ecology and Conservation 24, e01232. doi: 10.1016/j.gecco.2020.e01232.

Prober, S.M., Doerr, V.A.J., Broadhurst, L.M., Williams, K.J., and Dickson, F. (2019). Shifting the conservation paradigm: a synthesis of options for renovating nature under climate change. Ecological Monographs 89, e01333. doi: 10.1002/ecm.1333.

Ryo, M., Aguilar-Trigueros, C.A., Pinek, L., Muller, L.A.H., and Rillig, M.C. (2019). Basic Principles of Temporal Dynamics. Trends in Ecology & Evolution 34, 723-733. doi: 10.1016/j.tree.2019.03.007.

Why Science is Frustrating

Many people train in science because they are convinced that this is an important route to doing good in the world. We operate on the simple model that science leads to knowledge of how to solve problems and once we have that knowledge the application to policy and management should be reasonably simple. This model is of course wildly incomplete, so if you are a young person contemplating what to do with your life, you should perhaps think very carefully about how to achieve progress. I review here three current examples of failures of science in the timely management of acute problems.

The first and most complex current problem is the Covid-19 pandemic. Since this virus disease became a pandemic more than a year ago, many scientists have investigated how to thwart it. There was spectacular success in developing vaccines and advances in a basic understanding the virus. However, some proposals had no value, and this was often because the scientific papers involved were not yet peer reviewed but were released to the news media as though they were the truth. All the common mistakes of scientific investigation were in clear view, from simple hypotheses with no testing to a failure to consider multiple working hypotheses, to a failure to evaluate data because of non-disclosure agreements. Speed seemed to be of the essence, and if there is a sure way to accumulate poor science it is by means of speed, including little attention to experimental design, probabilities, and statistical analysis. Many books will soon appear about this pandemic, and blame for failures will be spread in all directions. Perhaps the best advice for the average person was the early advice suitable for all pandemics – avoid crowds, wash your hands, do not travel. But humans are impatient, and we await life going “back to normal”, which is to say back to rising CO2 and ignoring the poor.  

A second example is the logging of old growth forests. Ecologists all over the world from the tropics to the temperate zone have for the last 40-50 years decried logging practices that are not sustainable. Foresters have too often defended the normal practices as being sustainable with clever statements that they plant one tree for every one they cut, and look out your car window, trees are everywhere. It is now evident to anyone who opens their eyes that there is little old growth left (< 1% in British Columbia). But why does that matter when the trees are valuable and will grow back in a century or two or four? Money and jobs trump biodiversity and promises of governments adopting an “old-growth logging policy” appear regularly, to be achieved in a year or two. The tragedy is written large in the economics where for example in British Columbia the local government has spent $10 billion in the last 10 years supporting the forestry industry while the industry has contributed $6 billion in profits, not exactly a good rate of return on investment, particularly when the countryside has been laid waste in the process. Another case in which economics and government policy has trumped ecological research in the past but the need to protect old growth forests is gaining with public support now.

A third example comes again from medicine, a fertile area where money and influence too often outrace medical science. We have now a drug that is posed to alleviate or reduce the effects of Alzheimer’s, a tragic disease which affects many older people (Elmaleh et al. 2019, Nardini et al. 2021). A variety of drugs have been developed in an attempt to stop the mental deterioration of Alzheimer’s but none so far has been shown to work. A new drug (Aducanumab) is now available in the USA for treatment of Alzheimer’s but it already has a checkered history. This drug seemed to fail its first major trials yet was then approved by the Federal Drug Administration in the USA over the protests of several doctors (Knopman, Jones, and Greicius 2021). Given a cost of thousands of dollars a month for administering this new drug to a single patient, we can see the same scenario developing that we described for the forest industry and old growth logging – public pressure for new drugs resulting in questionable regulatory decisions.

There are several general messages that come out of this simple list. The most important one is that science-on-demand is not feasible for most serious problems. Plan Ahead ought to be the slogan written on every baseball hat, sombrero, Stetson, toque and turban to remind us that science takes time, as well as wisdom and money. If you think we are having problems in the current pandemic, start planning for the next one. If you think that drought is now a problem in western North America, start hedging your bets for the next drought. Sciences moves more slowly than iPhone models and requires long-term investments.

I think the bottom line of all the conflict between science and policy is discouraging for young people and scientists who are doing their best to unravel problems in modern societies and to join these solutions to public policy (González-Márquez and Toledo 2020). Examples are too numerous to list. Necessary policies for controlling climate change interfere with people’s desires for increased global travel but we now realize controls are necessary. Desirable human development goals can conflict with biodiversity conservation, but we must manage this conflict (Clémençon 2021). The example of feral horses and their effects on biodiversity in Australia and the USA is another good example of a clash of scientific goals with social preferences for horses (Boyce et al. 2021). Nevertheless, there are many cases in which public policy and conservation have joint goals (Tessnow-von Wysocki and Vadrot 2020, Holden et al. 2021). The key is to carry the scientific data and our frustration into policy discussions with social scientists and politicians. We may be losing ground in some areas but the present crises in human health and climate change present opportunities to design another kind of world than we have had for the last century.

Boyce, P. N., Hennig, J. D., Brook, R. K., and McLoughlin, P. D. (2021). Causes and consequences of lags in basic and applied research into feral wildlife ecology: the case for feral horses. Basic and Applied Ecology 53, 154-163. doi: 10.1016/j.baae.2021.03.011.

Clémençon, R. (2021). Is sustainable development bad for global biodiversity conservation? Global Sustainability 4. doi: 10.1017/sus.2021.14 2021.14.

Elmaleh, D.R., Farlow, M.R., Conti, P.S., Tompkins, R.G., Kundakovic, L., and Tanzi, R.E. (2019). Developing effective Alzheimer’s Disease therapies: Clinical experience and future directions. Journal of Alzheimer’s Disease 71, 715-732. doi: 10.3233/JAD-190507.

González-Márquez, I. and Toledo, V.M. (2020). Sustainability Science: A paradigm in crisis? Sustainability 12, 2802. doi: 10.3390/su12072802.

Holden, E., Linnerud, K., and Rygg, B.J. (2021). A review of dominant sustainable energy narratives. Renewable & Sustainable Energy Reviews 144. doi: 10.1016/j.rser.2021.110955.

Knopman, D.S., Jones, D.T., and Greicius, M.D. (2021). Failure to demonstrate efficacy of aducanumab: An analysis of the EMERGE and ENGAGE trials as reported by Biogen, December 2019. Alzheimer’s & Dementia 17, 696-701. doi:/10.1002/alz.12213.

Nardini, E., Hogan, R., Flamier, A., and Bernier, G. (2021). Alzheimer’s disease: a tale of two diseases? Neural Regeneration Research 16, 1958. doi: 10.4103/1673-5374.308070

Tessnow-von Wysocki, I. and Vadrot, A.B.M. (2020). The voice of science on marine biodiversity negotiations: A systematic literature review. Frontiers in Marine Science 7, 614282. doi: 10.3389/fmars.2020.614282.

What does Ecology have to offer for Covid pandemic response planning?

It has already occurred to many ecologists that Covid pandemic management could obtain some useful advice from ecologists in many subdisciplines. Yet there is apparently no clear use of established ecological idioms for Covid planning that I can find in the literature. No doubt there were many informal meetings among ecologists and medical scientists, and epidemiology is an ecological subdiscipline. Some papers have been published about the behavioural ecology of individual interactions that could lead to infection spread (e.g., Shaw et al. 2021) and books and symposia will no doubt appear once the pandemic is over. But I can find no direct evidence that ecologists were consulted in the early days of the pandemic for ideas about disease spread in spite of an abundant literature on the subject (e.g., Jones et al. 2008, Halliday et al. 2017 and many others). Let us try to list some of the ecological principles that might have been useful if they were injected into the Covid pandemic planning and discussions from the start.

I can see six ecological principles that could be useful for any disease planning:
(1) Invasion ecology
(2) Island eradications
(3) Biosecurity considerations
(4) Pest control
(5) Population regulation.
(6) Evolutionary ecology.

Invasion ecology provides many examples of the clear principle that avoiding the introduction of a new species or disease is the simplest way to avoid potential future issues. Once a species is introduced it is typically impossible to get rid of it or alternatively very expensive.

Island eradications have given us several lessons in the difficulties of eradication of a pest once it is established. The best examples come from introduced rats on islands (Russell and Broome 2016, Wheeler et al. 2019) and cat eradication on Macquarie Island (Dowding et al. 2009). Advances are being made in eradication on islands but to achieve this on a continental scale eludes us unless the species is caught very early in its establishment.

Biosecurity considerations flow from the trade in illegal drugs but of late have focused on endangered wildlife. The principle is to prevent the entry or exit of dangerous or threatened organisms. ‘Do not let the organism in’ seems to be a message lost on most countries during the Covid pandemic.

Pest control has been a major issue both in conservation, in agriculture, and in epidemiology. It is the one ecological principle that has occupied 95% of the energy and the funding for Covid problems that have arisen partly from ignoring the previous three principles. Our success in dealing with Covid is about on par with our success in pest control, which is not a compliment.

Population regulation would seem to be an issue far from a pandemic, but it is an essential feature of the spread of the virus in densely populated areas. Much attention has been paid to social interactions and their behavioural consequences (e.g., Xu and Cheng 2021), but the matter has emerged again as ‘hot spots’ of viral infections and the discussions of whether vaccine availability should be prorated to these areas to reduce contagion or given to more susceptible older people or to essential workers however defined. Individual differences are a major area of behavioural ecology and there is an extensive literature that I think has not been mined for ideas of how to respond to a pandemic.  

Evolutionary ecology is another critical area of great interest in disease management because of the speed of mutational changes in disease organisms. Much of the current discussion is about virus variants that are ‘of concern’ and those that are variants ‘of interest’. Distinguishing these is relatively simple but has not been used as much as it should to prevent continued outbreaks from the new mutations by widespread testing. Much modelling has been done but too little empirical work to trace these invasions in detail from one continent to another.

The bottom line of this discussion is a plea for medical specialists to talk to ecologists and other natural scientists. I suspect too few medical people feel that biologists would have any insight to pandemic management decisions, and I am certain that many or most politicians have no idea of the complexities of the ecology of pandemics. So, this is a plea following Haley et al. (2021) and Shaw et al. (2021) for more cooperation and consultation between scientists who have knowledge of details that might help us in keeping ahead of the next wave.

Dowding, J.E., Murphy, E.C., Springer, K., Peacock, A.J., and Krebs, C.J. (2009). Cats, rabbits, Myxoma virus, and vegetation on Macquarie Island: a comment on Bergstrom et al. (2009). Journal of Applied Ecology 46, 1129-1132. doi: 10.1111/j.1365-2664.2009.01690.x

Haley, D., Paucar-Caceres, A., and Schlindwein, S. (2021). A critical inquiry into the value of systems thinking in the time of COVID-19 crisis. Systems 9, 1-14. doi: 10.3390/systems9010013.

Halliday, J.E.B., Hampson, K., Hanley, N., Lembo, T., Sharp, J.P., Haydon, D.T., and Cleaveland, S. (2017) Driving improvements in infectious disease surveillance through locally relevant capacity strengthening. Science 357:146–148. doi:10.1126/science.aam8332.

Jones, K.E., Patel, N.G., Levy, M.A. et al. (2008) Global trends in emerging infectious diseases. Nature 451: 990–993. doi:10.1038/nature06536.

Russell, J.C. and Broome, K.G. (2016). Fifty years of rodent eradications in New Zealand: another decade of advances. New Zealand Journal of Ecology 40, 197-204. doi: 10.20417/nzjecol.40.22.

Shaw, A.K., White, L.A., Michalska-Smith, M., Borer, E.T., Craft, M.E., Seabloom, E.W., et al.  (2021). Lessons from movement ecology for the return to work: Modeling contacts and the spread of COVID-19. PLoS ONE 16, e0242955. doi: 10.1371/journal.pone.0242955.

Wheeler, R., Priddel, D., O’Dwyer, T., Carlile, N., Portelli, D., and Wilkinson, I. (2019). Evaluating the susceptibility of invasive black rats (Rattus rattus) and house mice (Mus musculus) to brodifacoum as a prelude to rodent eradication on Lord Howe Island. Biological Invasions 21, 833-845. doi: 10.1007/s10530-018-1863-4.

Xu, P. and Cheng, J. (2021). Individual differences in social distancing and mask-wearing in the pandemic of COVID-19: The role of need for cognition, self-control and risk attitude. Personality and Individual Differences 175, 110706. doi: 10.1016/j.paid.2021.110706.

On the Focus of Biodiversity Science

Biodiversity science has expanded in the last 25 years to include scientific disciplines that were in a previous time considered independent disciplines. Now this could be thought of as a good thing because we all want science to be interactive, so that geologists talk to ecologists who also talk to mathematicians and physicists. University administrators might welcome this movement because it could aim for a terminal condition in which all the departments of the university are amalgamated into one big universal science department of Biodiversity which would include sociology, forestry, agriculture, engineering, fisheries, wildlife, geography, and possibly law and literature as capstones. Depending on your viewpoint, there are a few problems with this vision or nightmare that are already showing up.

First and foremost is the problem of the increasing amount of specialist knowledge that is necessary to know how to be a good soil scientist, or geographer, or fisheries ecologist. So if we need teams of scientists working on a particular problem, there must be careful integration of the parts and a shared vision of how to reach a resolution of the problem. This is more and more difficult to achieve as each individual science itself becomes more and more specialized, so that for example your team now needs a soil scientist who specializes only in clay soils. The results of this problem are visible today with the Covid pandemic, many research groups working at odds to one another, many cooperating but not all, vaccine supplies being restricted by politics and nationalism, some specialists claiming that all can be cured with hydroxychloroquine or bleach. So the first problem is how to assemble a team. If you want to do this, you need to sort out a second issue.

The second hurdle is another very big issue upon which there is rarely good agreement: What are the problems you wish to solve? If you are a university department you have a very restricted range of faculty, so you cannot solve every biodiversity problem on earth. At one extreme you can have the one faculty member = one problem approach, so one person is concerned with the conservation of birds on mountain tops, another is to study frogs and salamanders in southern Ontario, and a third is to be concerned about the conservation of rare orchids in Indonesia. At the other extreme is the many faculty = one problem approach where you concentrate your research power on a very few issues. Typically one might think these should be Canadian issues if you were a Canadian university, or New Zealand issues if you were a New Zealand university. In general many universities have taken the first approach and have assumed that government departments will fill in the second approach by concentrating on major issues like fisheries declines or forest diseases.

Alas the consequences of the present system are that the government is reducing its involvement in solving large scale issues (take caribou in Canada, the Everglades in Florida, or house mice outbreaks in Australia). At the same time university budgets are being cut and there is less and less interest in contributing to the solution of environmental problems and more and more interest in fields that increase economic growth and jobs. Universities excel at short term challenges, 2–3-year problem solving, but do very poorly at long-term issues. And it is the long term problems that are destroying the Earth’s ecosystems.

The problem facing biodiversity science is exactly that no one wishes to concentrate on a single major problem, so we drift in bits and pieces, missing the chance to make any significant progress in any one of the major issues of our day. Take any major issue you wish to discuss. How many species are there on Earth? We do not even know that very well except in a few groups, so how much effort must go into taxonomy? Are insect populations declining? Data are extremely limited to a few groups gathered over a small number of years in a small part of the Earth with inadequate sampling. Within North America, why are charismatic species like monarch butterflies declining, or are they really declining? How much habitat must be protected to ensure the continuation of a migratory species like this butterfly. Can we ecologists claim that any one of our major problems are being resourced adequately to discover answers?

When biodiversity science interfaces with agricultural science and the applied sciences of fisheries and wildlife management we run into another set of major questions. Is modern agriculture sustainable? Certainly not, but how can we change it in the right direction? Are pelagic fisheries being overharvested? Questions abound, answers are tentative and need more evidence. Is biodiversity science supposed to provide solutions to these kinds of applied ecological questions? The current major question that appears in most biodiversity papers is how will biodiversity respond to climate change?  This is in principle a question that can be answered at the local species or community scale, but it provides no resolution to the problem of biodiversity loss or indeed even allows adequate data gathering to map the extent and reality of loss. Are we back to mapping the chairs on the Titanic but now with detailed satellite data?

What can be done about this lack of focus in biodiversity science? At the broadest level we need to increase discussions about what we are trying to accomplish in the current state of scientific organization. Trying to write down the problems we are currently studying and then the possible ways in which the problem can be resolved would be a good start. If we recognize a major problem but then can see no possible way of resolving it, perhaps our research or management efforts should be redirected. But it takes great courage to say here is a problem in biodiversity conservation, but it can never be solved with a finite budget (Buxton et al. 2021). So start by asking: why am I doing this research, and where do I think we might be in 50 years on this issue? Make a list of insoluble problems. Here is a simple one to start on: eradicating invasive species. Perhaps eradication can be done in some situations like islands (Russell et al. 2016) but is impossible in the vast majority of cases. There may be major disagreements over goals, in which case some rules might be put forward, such as a budget of $5 million over 4 years to achieve the specified goal. Much as we might like, biodiversity conservation cannot operate with an infinite budget and an infinite time frame.

Buxton, R.T., Nyboer, E.A., Pigeon, K.E., Raby, G.D., and Rytwinski, T. (2021). Avoiding wasted research resources in conservation science. Conservation Science and Practice 3. doi: 10.1111/csp2.329.

Russell, J.C., Jones, H.P., Armstrong, D.P., Courchamp, F., and Kappes, P.J. (2016). Importance of lethal control of invasive predators for island conservation. Conservation Biology 30, 670-672. doi: 10.1111/cobi.12666.

On an Experimental Design Mafia for Ecology

Ecologist A does an experiment and publishes Conclusions G and H. Ecologist B reads this paper and concludes that A’s data support Conclusions M and N and do not support Conclusions G and H. Ecologist B writes to Journal X editor to complain and is told to go get stuffed because Journal X never makes a mistake with so many members of the Editorial Board who have Nobel Prizes. This is an inviting fantasy and I want to examine one possible way to avoid at least some of these confrontations without having to fire all the Nobel Prize winners on the Editorial Board.

We go back to the simple question: Can we agree on what types of data are needed for testing this hypothesis? We now require our graduate students or at least our Nobel colleagues to submit the experimental design for their study to the newly founded Experimental Design Mafia for Ecology (or in French DEME) who will provide a critique of the formulation of the hypotheses to be tested and the actual data that will be collected. The recommendations of the DEME will be nonbinding, and professors and research supervisors will be able to ignore them with no consequences except that the coveted DEME icon will not be able to be published on the front page of the resulting papers.

The easiest part of this review will be the data methods, and this review by the DEME committee will cover the current standards for measuring temperature, doing aerial surveys for elephants, live-trapping small mammals, measuring DBH on trees, determining quadrat size for plant surveys, and other necessary data collection problems. This advice alone should hypothetically remove about 25% of future published papers that use obsolete models or inadequate methods to measure or count ecological items.

The critical part of the review will be the experimental design part of the proposed study. Experimental design is important even if it is designated as undemocratic poppycock by your research committee. First, the DEME committee will require a clear statement of the hypothesis to be tested and the alternative hypotheses. Words which are used too loosely in many ecological works must be defended as having a clear operational meaning, so that idea statements that include ‘stability’ or ‘ecosystem integrity’ may be questioned and their meaning sharpened. Hypotheses that forbid something from occurring or allow only type Y events to occur are to be preferred, and for guidance applicants may be referred to Popper (1963), Platt (1964), Anderson (2008) or Krebs (2019). If there is no alternative hypothesis, your research plan is finished. If you are using statistical methods to test your hypotheses, read Ioannidis (2019).

Once you have done all this, you are ready to go to work. Do not be concerned if your research plan goes off target or you get strange results. Be prepared to give up hypotheses that do not fit the observed facts. That means you are doing creative science.

The DEME committee will have to be refreshed every 5 years or so such that fresh ideas can be recognized. But the principles of doing good science are unlikely to change – good operational definitions, a set of hypotheses with clear predictions, a writing style that does not try to cover up contrary findings, and a forward look to what next? And the ecological world will slowly become a better place with fewer sterile arguments about angels on the head of a pin.

Anderson, D.R. (2008) ‘Model Based Inference in the Life Sciences: A Primer on Evidence.‘ (Springer: New York.) ISBN: 978-0-387-74073-7.

Ioannidis, J.P.A. (2019). What have we (not) learnt from millions of scientific papers with P values? American Statistician 73, 20-25. doi: 10.1080/00031305.2018.1447512.

Krebs, C.J. (2020). How to ask meaningful ecological questions. In Population Ecology in Practice. (Eds D.L. Murray and B.K. Sandercock.) Chapter 1, pp. 3-16. Wiley-Blackwell: Amsterdam. ISBN: 978-0-470-67414-7

Platt, J. R. (1964). Strong inference. Science 146, 347-353. doi: 10.1126/science.146.3642.347.

Popper, K. R. (1963) ‘Conjectures and Refutations: The Growth of Scientific Knowledge.’ (Routledge and Kegan Paul: London.). ISBN: 9780415285940

On Logging Old Growth Forests

Old growth forests in western Canada and many parts of the Earth are composed of very large trees whose diameters are measured in meters and whose heights are measured in football field lengths. The trees in these forests are economically valuable for their wood, and this has produced a conflict that almost all governments wish to dodge. I do not want to speak here as a terrestrial ecologist but as a human being to discuss the consequences of logging these old growth forests.

As I write this there are a mob of young people blockading the roads into old-growth forest stands in southwestern British Columbia to prevent the logging of some of the largest trees remaining in coastal western Canada. Their actions are all illegal of course because the government has given permission to companies to log these large trees, the classic case of ‘we need jobs’. We certainly need jobs, and we need wood, but if you ask the citizens of British Columbia if these very large trees should be logged you get a resounding majority of NO votes. The government is adept at ignoring the majority will here, it is called democracy.

My simple thought is this. These trees are 500 to 1000 years old. Cut them all down and your children will never see a big tree, or their children or perhaps 25 generations of children, since the foresters say that this is sustainable logging because, if left alone, the forest will regenerate into large old growth trees again by the year 2900. A splendid program for all except for our children for the nest 800 years.

The other ecological issue of course is that these forests form an ecosystem, so it is not just the loss of large old trees but all the other plants and animals in this ecosystem that will be lost. To be sure you can argue that all this forest management is completely sustainable, and you will be able to see this clearly if you are still alive in 2900. Sustainability has unfortunately become a meaningless term in much of our forest land management. Forest management could become sustainable, as many ecologists have been saying for the last 50 years, but as with agriculture the devil is in the details of what this actually means. And if the forest management plan to retain old growth is to keep 6 very large trees somewhere in coastal British Columbia, each one surrounded by a fence and a ring of high-rise hotels for tourists of the future to see “old growth”, then we are well on our way there.

Guz, J. and Kulakowski, D. (2020). Forests in the Anthropocene. Annals of the American Association of Geographers 110, 1-11. doi: 10.1080/24694452.2020.1813013.

Lindenmayer, D.B., et al. (2020). Recent Australian wildfires made worse by logging and associated forest management. Nature Ecology & Evolution 4, 898-900. doi: 10.1038/s41559-020-1195-5.

Thorn, S., et al. (2020). The living dead: acknowledging life after tree death to stop forest degradation. Frontiers in Ecology and the Environment 18, 505-512. doi: 10.1002/fee.2252.

Watson, J.E.M., et al. (2018). The exceptional value of intact forest ecosystems. Nature Ecology & Evolution 2, 599-610. doi: 10.1038/s41559-018-0490-x.