While [Active Papers] has achieved its mission of demonstrating that unifying computational reproducibility and provenance tracking is doable and useful, it has also demonstrated that Python is not a suitable platform to build on for reproducible research. Breaking changes at all layers of the software stack are too frequent.
I started using Python for my PhD around 1997, to control simulations I wrote using Fortran 90. I chose Python based on Konrad Hinsen’s writings at the time in a long-disappeared website. A few years later I moved all my work to R, which I found much more stable. I have some 20-year-old R base code that still runs. 😇
I cringe every time I hear the term “future proofing”. It can be read as doing something to avoid facing the future or as doing something that will survive whatever the future brings. The first meaning is non-sensical, while the second is a fool’s errand.
When working in breeding (plants, animals, trees) it is unfeasible to cover all possible environmental and market futures. What we can do, however, is to embed variability and flexibility in the breeding programme, so we can better pivot under changing conditions. There is no guarantee that the crop will always survive the new conditions.
Why was I thinking about this? I’ve been contrasting the forestry plantations stories of Australia, Chile and New Zealand and in the previous post I pointed out the changing participation of Eucalyptus species in Australia and Chile.
In the Chilean case, the idea was to use Eucalyptus globulus—a high-growth & high-quality fibre species—for the short-fibre pulp industry. The expanding estate needed another species that, although with lower pulping quality, would cope with colder environments: E. nitens. After a few years there were some efforts to create the E nitens (mother) x E globulus (father) hybrid, with the aim of getting pulping quality closer to E globulus but with cold tolerance closer to E nitens.
For a few years the E globulus estate expanded substantially, until… a climate change-induced mega drought dramatically reduced forest productivity AND defoliation by Gonipterus platensis (with 4 generations per year) took its toll. Companies are now planting either E nitens or the E nitens x E globulus hybrid (some people call it gloni, for GLObulusNItens), which far outperform E globulus under the current abiotic+biotic environmental conditions.
The predicted “future” for 20 years ago was dramatically different from reality. There was no future-proofing in any meaningful sense, but there was variability and flexibility and good work to cope with a changing environment.
The last 2 months or so I have been revisiting the Chilean forest sector and mentally comparing values with other two places: Australia (where I worked 6 years) and New Zealand (where I’ve been living for close to two decades). Previous related posts here and here.
We often get stuck considering specific values of dynamic systems instead of the overall trends; a bit like worrying about a specific frame instead of the whole movie.
New Zealand radiata pine has been remarkable stable: around 89% of the planted forest estate area for a long time and with a fairly low percentage of eucalypts (under 2%). In contrast, Australia and Chile have experienced large changes on the percentage of eucalypts (mostly Eucalyptus globulus and E. nitens) versus radiata pine during the last 20 years. In Chile this change has been accompanied by capital investment in processing facilities.
At the same time, the Chilean curves hide a fundamental change during the last 10 years.
A few days ago I was comparing afforestation figures—planting in area that didn’t have trees before—across New Zealand, Chile and Australia. There was a bit of discussion in the comments but, of course, that was only a small part of painting a picture of the plantation forestry sector in each country.
This time, I am plotting the total planted forest estate (excluding native forests) in each country. All three Southern Hemisphere countries have stopped expanding their total estate, with only a few years difference. New Zealand reached its peak area in 2003 (1.82 million ha), Australia in 2009 (2.02 million ha) and Chile in 2013 (2.45 million ha).
Leo Tolstoy wrote in Anna Karenina that “all happy families are alike; each unhappy family is unhappy in its own way”. All three forest sectors have different reasons to explain or justify the area contraction, although there is at least one commonality: uncertainty.
For example, the ETS mess in the early 2000s in NZ resulted in large areas of young plantations converted to dairy use in the Canterbury region. My previous post showed an uptick on newly planted land in New Zealand (some of it converted from meat production to forestry); still it is not big enough to compensate for the loss of planted land in previous years. Chile has experienced a decade-long megadrought, large forest fires in the 2016-17 season (a drop of area), together with political complexity from 2019 onwards.
All three countries are supposed to increase CO2 sequestration as part of their commitments against climate change. It is looking like a hard call to achieve this with our current political settings.
Looking at new forest plantations areas in Chile (data from INFOR), Australia (ABARES) and New Zealand (MPI) since 1994, as the Chilean dataset starts then.
Interesting to see how the expansion of the forest estate collapsed in all three Southern Hemisphere countries at the start of the 2010s. Lately, New Zealand has seen an increase mostly due to market for Carbon Sequestration.
Why did I choose those three countries? I have worked in all of them and all three use radiata pine (although new plantings may involve Eucalyptus as well).