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The History of Evolution: from Darwin to DNA

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The Malthus Problem

Almost everyone reading this will have had somewhere between a great grandparent or great great great grandparent who was alive when Darwin went on his legendary trip to The Galapagos Islands in 1831. Many people believe that Darwin came up with the idea for evolution on that trip, but the reality is that the theory predated his birth. What Darwin is famous for is a revolutionary new way of thinking about that idea.

In 1798, Thomas Malthus (of Malthusianism fame), figured out that the productivity of agriculture also meant a rise in the birthrate. On a finite planet, he could see no way that our food supplies would be able to keep up with our increase in population. The more we had to eat the more we had children and the math was not adding up to good news.

Humanity hitting a wall of that sort was a surprise at the time, because people back then saw the world the same way a lot of people still see it today. They believed that nature was growing toward a kind of perfection, like a tree reaching for the light –with humans, like a star, right at the top. But what did it mean if food security –humanity’s greatest success– was also our greatest threat? What did it mean to be successful if success could kill you? Just what light was this tree of nature striving toward?

It was in answering that question that Darwin had his big realization.

 

Darwin’s Genius

Most people saw evolution the same way most people today understand the idea of so-called pesticide-resistant ‘superweeds.” Most people imagine those weeds as the product of nature actively mutating around our efforts to control them. They imagine the plants intentionally changing in pursuit of survival, which means they imagined that the phrase survival of the fittest meant the ‘survival of the smartest and strongest.’

Darwin saw it for what it really was: animals and plant species sought life, but they weren’t striving to survive –they cannot imagine their future. Their subtle variances simply meant that some simply do survive. Having no foresight, all plants just do what they do, and are what they are. Sometimes their conditions are favourable to their survival and other times they are not, which is why 99.9% of species that have ever existed have gone extinct. With every species, time eventually wins.

A thirsty plant during a drought will not see its genes go forward, nor will a plant that prefers dry soils do well during rainy periods. So rather than nature being a tree, striving upward in search of ever and ever brighter light, Darwin’s big insight was that nature is simply a huge collection of lottery tickets where at least some forms of life are bound to win. And humans are not outside of that fact of nature.

While we’re all enormously alike, parents are always mixing DNA that has never been mixed before. Sometimes mutations –or the mixes themselves– create diseases or weaknesses that weaken or kill us. Other times, we are one of the few genetically lucky lottery winners to survive something like The Spanish Influenza –or, if we’re a weed, survive a farmer’s herbicide. In fact there are no super-weeds, or super-people, there are simply weeds and people that best suit the conditions they happen to be in. In the case of the aforementioned flu, the young and the old were the ones spared while often times it was those in the prime of their lives that did not survive.

Of course, winning this genetic lottery means that the surviving DNA gets to breed more of the subsequent generations. Taking that idea in the opposite direction; Darwin realized that it meant that every living thing was somehow derived from a common ancestor. This was a revolutionary idea at the time.

The churches at the time found these ideas threatening because they created a scientific form of slow-motion creation over which the church had no authority. But for science it was a slowly-evolving eureka moment. To them Darwin’s notion wasn’t dispelling creation, it was seeing it more deeply: fifty percent of the human genome is shared with bananas. That fact does feel like a miracle, and it adds a whole new meaning to the phrase, ‘we are what we eat.’

Of course none of this explained the mechanism by which nature accomplished these variations, nor could we know that the answer might resolve Malthus’s concerns about population.

 

The Discovery of Genes

Fortunately, in the 1840’s, not long after Darwin’s trip to the Galapagos, a meticulous scientist and monk (which was common at the time), was in the Czech Republic breeding pea plants. Mendel painstakingly crossbred tens of thousands of carefully prepared plants and then just as carefully studied the results. Over time and repetition he realized that there were both dominant and recessive traits that he could predict in subsequent generations.

Mendel was the first person to even imply the idea of genes –the mechanism by which Darwin’s lottery could be held.

By 1869 we had invented technologies that would allow us to look at living things more closely. That’s when a Swiss scientist named Miescher saw something in the nuclei of cells. He even wondered if it could explain Mendel’s heredity mechanism, but at the time no one saw much value in what would come to be known as DNA and RNA.

DNA was pretty simple stuff, made from a nucleotide alphabet of only four letters. But each of our cells contains about two meters of it and we have over ten thousand trillion cells. That’s literally about 20 million kilometers or 12½ million miles of DNA in each of us! If nature’s bothering to create all of that, there’s a reason. But what? It’s only made of four nucleotides. What could you possibly create with a four letter alphabet?

 

The Colour of Chromosomes

Chromosomes were discovered in 1888, primarily by a German named, Boveri. They got their name because they were really good at absorbing dyes, which makes them easy to see under a microscope (when a cell is dividing). Boveri linked them to the idea of heredity but it was the 1900’s before anyone else really studied them in an effective way.

Thomas Morgan is the reason why so many people associate fruit flies with science experiments. The flies bred so quickly that they were perfect for studying how chromosomes might be affecting heredity. Morgan did for the flies what Mendel did for the peas. And thanks to a mutated fly with the wrong coloured eyes, he was able to track inheritance to the point where many scientists were prepared to work from the assumption that chromosomes and DNA were in fact somehow involved in heredity.

Morgan won a Nobel Prize for his work with the flies, but even 30 years later there were still a lot of people who did not believe genes existed, or that DNA was all that important.

It was about 110 years after Darwin’s voyage on the Beagle, near the end of WWII in the 1940’s, before a brilliant Canadian named Oswald Avery managed to change a bacterium by intentionally introducing a trait from a different bacteria’s DNA. It was that experiment that very cleverly proved to everyone that DNA did in fact explain heredity –and it was so ingenious that there were many who felt Avery deserved two Nobel’s for proving it.

 

The Shape of Things to Come

With Avery’s discovery made, the race was on to explain DNA’s structure and to understand how it does what it does. If they could figure out the shape of a DNA molecule then science had a better chance of figuring out what it was doing. At the time, it was like trying to figure out how the pieces bolted together to make a bio-machine that made…us.

Many expected the brilliant Linus Pauling to be first the one to figure it out, but maybe knowledge acted as a form of blindness in that case. The people who did find it were fairly unlikely –they had come from a background of working on military weapons. Crick of the famous Watson and Crick didn’t even have a doctorate at the time, although his effort to get one would play a key role in their discovery.

Watson was like a Doogie Howser character –a child genius who had played a role on a popular radio game show. The problem was, he wasn’t very familiar with chemistry. Yet he and Watson’s found themselves trying to figure out how that little four-letter alphabet could be assembled into life. It’s why their discovery was as surprising as it was incredible.

Maurice Wilkins shares the Nobel Prize with Watson and Crick. He is the often-forgotten New Zealander who did a lot of the less glamorous work in developing X-Ray Crystallography that lead to the ability to take images of DNA. That was clearly going to help because, at the time, everyone was following Pauling’s lead –so they were working from the assumption that the DNA molecule’s shape was a triple helix.

The Woman Who Saw Things Clearly

Rosalind Franklin was the woman who figured how to actually take the pictures that Wilkins had theorized, but it was actually a student of hers (named Ray Gosling) who took the now-famous Photo 51. Gosling ended up being moved to work with Wilkins, who many feel shouldn’t have unilaterally showed Franklin’s images to Watson and Crick. But, having seen the image, they could now get their G’s C’s T’s and A’s into a double helix that led Watson and Crick to entirely re-think what they were doing.

Soon after, Franklin wrote a report on an even more detailed photo. That got passed from group leader to group leader at Cambridge until it eventually found its way to Watson and Crick. Using some impressively complex math developed for Crick’s PhD thesis, the two men now used Franklin’s measurements (without her knowledge), and they got the ‘ladder’ of the DNA  lined up in such a way that it did produce the proteins that combine to form every living thing. This was an enormous eureka moment, as they say.

(You can actually help science by playing an on-line game called Fold it where you fold those resulting proteins in ways that can help science and humanity. The gamers who do so even get their work into respectable Journals like Nature.)

The reason Franklin went unmentioned for the Nobel was because applying complex math to a photo is easier than creating the complex math to apply to a photo. But had Watson, Crick and Wilkins not beat her to the solution she would have got the answer shortly thereafter, and she was the first person to realize that our DNA forms the subtle variances required to ensure our unique genetic codes.

There was a lot of sexism at the time and that likely played a role Franklin being overlooked but, in the end, even Watson –who had treated her quite badly– admitted so, and regretted that she had died shortly thereafter, preventing him from making proper amends. And of course the Nobel Prize is not given posthumously….

As for the DNA itself, once it was solved it looked easy. The verticals on the DNA ladder are a sugar, and the rungs are the nucleobases we need to make the proteins that fold together to make us.  (Drug-based gene therapy is when a drug re-folds an improperly folded protein.) The rungs always have G with C, and T is always with A (unless it’s RNA, then the T is replaced with a U). It’s quite simple chemistry –if you’re a chemist.

In a much more recent development, in the spring of 2018 science was able to confirm a 1990’s theoretical discovery, meaning we also now know there is also i-motif DNA, which is a four strand knot or loop of (C)ytosine to (C)ytosine rungs. (There’s also A, Z, Triplex, Cruciform and G4 DNA shapes, but even scientists don’t know much about what’s going on with those yet, so if you can’t comprehend those you’re in extremely good company.)

After Crick, Watson, Wilkins and Franklin, the next most significant person in our understanding of DNA was the South African, Brenner. In 1960 he figured out that gene DNA is transcribed into messenger RNA in a process called transcription. The translated mRNA transports the genetic information from the cell nucleus into the cytoplasm, where it guides the production of the proteins.

By 1972 a Belgian named Walter Fiers figured out that the parts of our DNA that make the proteins are the genes, and the genes are the sections that organize the proteins to combine into everything a human being is. Shortly thereafter, Herbert Boyer, Stanley Norman Cohen and Paul Berg were the first people to intentionally transfer a gene. Their process got a bacteria to create foreign protein, essentially proving that genetic engineering was possible.

Soon after that, Marc Van Montagu and Jeff Schell found a little circular piece of DNA outside the chromosome of Agrobacterium tumefaciens. In nature it’s a bacteria that put tumors on trees, but they suspected it could also facilitate gene transfer between species in nature. By the early 80’s they had worked the Americans and the French to create the first genetically engineered plant –a variety of tobacco.

In 1974 Rudolph Jaenisch had engineered a mammal, creating the first mouse. That in turn incited a huge shift in medical research because that discovery made it possible to do experiments on exactly the same mouse over and over, which is obviously very helpful in scientific research.

Then, almost miraculously, in 1977, Carl Woese (and George E. Fox) made possibly the least-known yet most important discovery since Darwin himself, when they disproved Darwin’s notion of nature as a ‘tree of life.’ This later set Woese on a path that demonstrated the significance of Horizontal Gene Transfer. That discovery effectively saw Darwin’s ‘tree’ suddenly evolve into a bush –which demonstrated that, just as modern GMOs do, nature did and does move genes from one species to another, with the Sweet potato being a popular example. (Later, our human genome was found to be 8% virus.)

Enter Craig Venter in 2000. He and his team are the first to map the entire human genome. That same technology is now being used to map the genomes of countless plants and animals. It is through these processes that some diseases are discovered that relate to mistakes in copying the DNA code, and that lead to things like cancers.

By 2012, Jennifer Doudna and Emmanuelle Charpentier, only the second and third woman in the bunch, make maybe the most practical discovery in genetics when they figure out how to use a technology called CRISPR to get nature itself to edit or patch genetic code. This process is so natural that if we use it to create a new food it isn’t even considered genetically modified because it comes about the very same way that nature does it.

That takes us to where science is today. But this begs the question, how does DNA actually work?

 

Cell Splits, DNA Snips and Cancer

When our cells split our 2 meters of DNA comes unzipped down the middle of the ‘ladder.’ But because it’s a code where Cs always link to G’s and T’s always link to A’s, it only takes about a second and nature has made a new piece of matching DNA and you have a whole new ‘ladder.’

We do this unzipping and recreating a lot with our colon cells because they only survive a few days; skin cells maybe a month; and like pretty much all cells, the liver cells get replaced constantly. But each individual one only replicates about once every 11-17 months. This explains why we’re often tired when we’re recovering from surgery. On top of any damage we have to repair, we have about 50-100 trillion cells and about 300 million die every minute, so it’s easy to see that our bodies are very busy.

For the most part these processes go extremely well, but it is possible to have a split go slightly wrong –that’s when a wrong letter gets in the wrong place. Biochemists call that a snip. Snips are how we get mutations that can sometimes give us cancer, and that’s why older people get more cancer. They’ve simply had more cell divisions –or more time for more splits and snips. This also explains why cancers will grow much faster in some parts of the body than in others –it depends on the rate of cell replacement.

Despite the fact that they sometimes can lead to cancer, snips are also what makes each of us just unique enough that some of us survive The Spanish Influenza pandemic while others do not. If you saw the film GATTACA, (so-named for the four nucleotides in DNA), a snip was Ethan Hawke’s advantage in the film.

Too much snipping and we die. Too little and we never evolve. Our existence literally balances between those two opposing concepts, hence our interest in genetic engineering –it’s like tipping the balance in our favour.  And now we also tip it in nature’s favour too, which is why we don’t need baby cows for rennet, horseshoe crabs for the antibodies in their blood, or pigs for insulin. And, as an example, if we can get more ears of corn on a single plant, then we can leave more wild spaces for nature.

 

Conscious Modification

Once we understood that the genes were made of chunks of DNA that simply coded for proteins, we realized that the Natives who turned teosinte grass into modern corn –about 10,000 years ago– were actually doing a valuable yet blindfolded form of genetic engineering.

On a modern level, despite the fact that Darwin had pointed out that we are all descended from one species (about 3.8 billion years ago), scientists were still surprised when they started noticing that the genes that made a mouse eye for a mouse would amazingly make a fly’s eye on a fly. Before they knew it the scientists realized they –and we– share about 60% of our code with flies! We even have the genes for a tail, that gene just isn’t switched on. It’s both unifying and humbling in a way. All life shares the same interchangeable LEGO, we just build different things with it.

Today, with the help of supercomputers, we can map out the genome of things very quickly. We can also imagine what would be created if you mixed things that haven’t mixed yet because we know what the codes actually do in the plants we improve. This means the beneficial changes created by genetic engineering could have happened in nature, but our advantage is that we do it intentionally, when otherwise a growing population could easily starve while waiting for nature to stumble onto the answers that will feed a future world.

Today’s accurate computer models also allow scientists to avoid wasting time on crops that they can figure out won’t survive, or that may be allergenic, etc. That gives them more time to develop the plants that are fit to be food. If any of these changes seems unnatural, remember, Darwin didn’t actually use the term survival of the fittest to describe evolutionary success –he simply described it as, descent through modification. Genetic engineering is merely conscious, intentional modification.

 

Working With Nature

When a scientist makes a crop that has an insecticide ‘inside it,’ the insecticide is BT, or bacillus thuringiensis. Much like a bacteria created a sweet potato by inserting its genes into a potato, BT is a bacteria commonly found in soil that is deadly to certain bugs. It’s the very same BT that organic farmers spray on their crops because their rules mean they are barred from using the GMO BT strains that have the DNA coding to create the BT within the plant itself.

The BT in a GMO is still normal BT, but it’s a part of nature that makes very specific bug’s guts –which are alkaline, not acidic like ours– explode. That’s not dangerous for mammals for much the same reason that your mother doesn’t have to be afraid of Tiger Lilies but she should keep them away from her cat. As with dogs and chocolate, what can kill one species can be irrelevant to another. But both the BT and Tiger Lillies are natural, and BT is a great example of how science can use genetic engineering to protect beneficial insects.

Can humans make mistakes? Yes. They do so quite regularly. But on important things we do a lot of double checking, and our food has never undergone more testing, whereas nature creates random things like poisonous mushrooms etc. Fortunately, genetic engineering has been precise enough for long enough that it is now proving it can generate substantial gains for humans and our environment.

Far from being afraid of the manipulation of DNA, we should see nature as Darwin’s lottery, where nature produces mostly losing tickets. In contrast, genetic engineering permits the wildness of nature to exist while also allowing us to recognize and define the traits that farmers will need when it comes to growing the crops that will sustainably feed a growing world.

Which brings us back to Malthus and his math problem.

Malthus Meets the Green Revolution

What Malthus could or did not include in his calculations were human things like genetically precise plant breeding, mechanization, The Green Revolution (created by plant hybrids and nitrogen fertilizer), as well as advances in soil science, genetic engineering, and satellite-aided precision agriculture. He also didn’t know that education would lower birthrates, which means the population will actually start dropping to a sustainable level starting somewhere between 2050 and 2100.

As recently as 1968 people like Paul Ehrlich were writing best-selling books that made Malthusian predictions that hundreds of millions of people would be starving every year by the 1980’s. That obviously didn’t happen, thanks in large part to genetic science. In fact, there are fewer starving people today than ever before, and most of those are due to war, not any   failings of agriculture.

 

A Rationally Optimistic Future

Humans cannot move forward using ignorance and fear. Our future depends on us proceeding forward with the inventiveness implied by Rational Optimism. We must be realistic, and yet at the same time we must take what we learn about nature and use it to help both ourselves and nature.

We cannot do our best for the environment, for our nutrition, or for feeding the world if we don’t use all of the tools that science has discovered on its march through time. That can be as simple as a Native American putting a fish for nitrogen on a corn seed 5,000 years ago, or a geneticist helping a plant develop drought tolerance in a lab.

In agriculture, and in life in general, humans are simply using what we know in the most productive ways we can find. Our knowledge of DNA, coupled with the love of nature that lead to the existence of the sciences, will be absolutely key to us succeeding in sustainably feeding a growing planet.

Note: If you would like a short shareable video version of this article it can be found here.

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Agriculture

The Role of Satellite Imagery in Developing VRA Prescription Maps

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Since its appearance in the 1980s, precision agriculture has revolutionized farming, offering innovative solutions to age-old challenges. One of those is Variable rate technology (VRT), which plays a key role in improving efficiency and sustainability in today’s farming methods.

By applying inputs like fertilizers and water in different quantities across the field, VRT helps optimize crop yields and reduce costs. This technology relies on data collection and analysis to create detailed VRA prescription maps, allowing for customized input applications. 

With the right equipment and technology, VRT can significantly improve agricultural productivity.  Today’s advanced tractors, equipped with built-in terminals and specialized software integrated with a precision agriculture platform, use prescription maps to accurately apply variable rates of water or chemicals based on GPS location and management zones.

Variable Rate Technology In Precision Agriculture

Precision agriculture is a game-changer, moving far beyond traditional farming methods. Often called satellite farming, this approach focuses on crop condition monitoring, measuring, and responding to variability within fields. One of its standout innovations is variable rate application (VRA), which has caught the attention of farmers worldwide for its immense potential.

Why is VRA so important? It goes beyond simply fertilizing, seeding, and applying pesticides. It’s about utilizing technology to apply various expendable materials on and beneath the field automatically. 

Farm management software simplifies contemporary farming by combining data and technology to improve farming efficiency, sustainability, and profitability. Precision agriculture platforms consolidate operations, crop health monitoring through satellite imagery, and offer real-time suggestions, enabling farmers to make informed decisions for the best use of resources (through VRA) and increased productivity.

Variable rate application offers numerous advantages for modern agriculture:

  1. VR fertilizer enhances farming efficiency.

Adjusting rates based on soil health and plant needs helps save resources and increase yields. Research shows this method can lead to higher net income and healthier soil compared to using uniform rates: “The net incomes of VR management zone were 15.5–449.61 USD ha−1 higher than that of traditional spatially uniform rate fertilization.”

  1. VR irrigation saves water, time, and fuel while reducing machinery wear.

Applying the correct amount of water to different parts of the field based on soil moisture levels and crop requirements reduces wear and tear on irrigation equipment compared to uniform irrigation.

Studies claim: “Variable rate irrigation (VRI) can increase water use efficiency and productivity by applying water based on site‐specific needs.”

  1. VR seeding increases crop yield by adjusting seeding rates based on soil fertility.

VR seeding adjusts seeding rates based on soil fertility and other factors to optimize plant populations and yields. It is commonly used alongside variable rate fertilization as part of a comprehensive precision agriculture strategy. 

Findings show that: “The application of VRS to the seeding of various crops shows positive agro-economic trends, additional yields, and higher economic returns.”

  1. VR pesticide reduces environmental pollution and improves pesticide efficiency.

VRT helps farmers target pests more accurately and use less pesticide. 

Studies have found that “VR management zone reduced the use of nitrogen (N), phosphorus (P), and potassium (K) fertilizers by 22.90–43.95%, 59.11–100%, and 8.21–100%, respectively, and it also increased the use efficiency of N, P, and K by 12.27–28.71, 89.64–176.85, and 5.48–266.89 kg/kg, respectively, without yield loss.”

This demonstrates the ability of variable rate technologies to improve pesticide effectiveness and reduce environmental pollution in agriculture.

Using Various Technological Means For Informed Decisions

Applying different technological tools is essential for implementing variable rate technology in agriculture. This includes smart machinery, fertilizers, seeders, soil sensors, geographic information system (also called GIS), and the Global Navigation Satellite System (GNSS) applications for field mapping. Additionally, having supporting infrastructure, which helps manage and analyze info from different sources, is crucial for successful implementation.

Understanding the location, timing, and methods for seeding, fertilizing, and harvesting is key in remote crop monitoring and precision agriculture, where data plays a vital role in managing resources effectively.

This information is taken from a wide variety of data sources.

  • Sensors. Moisture, soil nutrients, compaction, weather stations (humidity, temperature, wind speed)
  • Drones and satellite photography. Field hyperspectral imaging.
  • GNSS. Event coordinates, also points and times for obtaining time-series data
  • Spatio-temporal data sources. Spatio-temporal specific data (trajectories of agricultural machinery, spatiotemporal points, event points, time-series information)
  • Maps. Field boundaries, soil type, surface levels)
  • AI solutions. Prediction of weather conditions, detection of plant diseases.

However, simply collecting raw data is not sufficient. It is necessary to process this information to extract valuable insights, make informed decisions, and enable automatic alerts and control signals for agricultural equipment. Thus, you must have the capability to:

  • Gather data;
  • Transform the data to extract valuable insights for precision farming gear;
  • Upload the data into agricultural equipment;
  • Retrieve real-time data from tractors, seeders, fertilizers, and other machinery.

By following these steps, farmers can make the most of modern technology, optimizing their farming practices and boosting efficiency.

Use Of Satellite Images In Building VRT Maps

Satellite crop monitoring imagery can be used to generate different kinds of VRA maps for various purposes. As nitrogen is one of the most critical elements plants need, building map for its proper application is a major task. 

Nitrogen fertilization maps play a crucial role in optimizing the application of water, nitrogen, and crop protection products. 

When creating a VRA map for nitrogen fertilizer, you can choose from various indices that provide valuable insights:

  • MSAVI is sensitive to uncovered soil and, therefore, is ideal for planning VR fertilizer application in the early stages of growth.

Example:  Early in the growing season, a corn farmer uses MSAVI to detect patches of uncovered soil in their field. This helps them apply fertilizer more accurately, ensuring that nutrient-rich areas receive the right amount of input and promoting uniform growth.

  • ReCI measures chlorophyll content in leaves, helping to identify field areas with faded and yellowed vegetation that may need additional fertilizer.

Example: A soybean grower notices using ReCI that certain sections of their field have yellowed leaves, indicating possible nutrient deficiencies. They apply additional fertilizer to these areas, restoring plant health and boosting overall yield.

  • NDVI indicates biomass accumulation zones and areas with low vegetation that might demand larger amounts of fertilizer.

Example:  A cotton producer uses NDVI to map out zones with varying levels of biomass across their field. They adjust their fertilizer application rates, applying more in areas with lower vegetation to support growth and maximize their harvest.

  • NDMI is well-suited for VR irrigation by identifying areas that are under water stress.

Example: During a hot summer, a vineyard uses NDMI to pinpoint areas suffering from water stress. They adjust their irrigation system to provide extra water where it’s needed, ensuring the vines remain healthy and productive.

    • NDRE helps identify stressed or dying vegetation in the middle to late stages of a season, aiding in effective fertilization strategies.
  • Example: During the season, a wheat farmer uses NDRE to identify patches of the field where the wheat plants are showing signs of nutrient stress or poor growth. By applying a mid-season nutrient boost specifically to these stressed areas, the farmer improves the overall health and yield potential of the wheat crop.

Field Productivity Maps

Field productivity maps can be created by analyzing satellite images to pinpoint areas with high or low crop yields. By using the NDVI index and advanced machine learning algorithms, different productivity zones can be identified.

Key applications of productivity maps include:

  • Potassium and phosphorus fertilization

Historical productivity zones data can help avoid excessive application in areas where these nutrients may have accumulated with time.

  • Variable rate planting

Farmers can apply different seed amounts in various productivity zones to either maximize yield or achieve uniform distribution across the field.

  • Land evaluation

Field productivity can be assessed before purchasing or renting land; it helps reduce risk and enhance profitability.

  • Targeted soil sampling

Soil sampling efforts can be focused on key areas indicated by productivity data, rather than relying on generic grid sampling.

As you see, variable rate application (VRA) is a cost-effective method that can save you 10% on planting and cultivation costs based on the characteristics of the soil. To fully benefit from VRA, it’s important to understand the technologies involved, such as sensors, GNSS, earth observation pictures from drones and satellites, and digital maps, which provide crucial data for analysis and implementation. We sincerely hope that you succeed in your farming endeavors with modern technology!

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Author Vasyl Cherlinka

Vasyl Cherlinka is a Doctor of Biosciences specializing in pedology (soil science), with 30 years of experience in the field. With a degree in agrochemistry, agronomy and soil science, Dr. Cherlinka has been advising on these issues private sector for many years.

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Agriculture

Restoring balance between renewable energy, agricultural land and Alberta’s iconic viewscapes

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Alberta is known around the world for many things – some of the most breathtaking and iconic scenery on earth, a world-class agricultural industry that puts high-quality food on tables across the globe and a rich history of responsible energy development. Alberta is a destination of choice for millions of visitors, newcomers and investors each year.

To ensure Alberta’s continued prosperity, it is imperative that future energy development is balanced with environmental stewardship, protecting Albertans’ ability to use and enjoy their property, and safeguarding agriculture for continued food security.

Alberta’s renewable energy sector has grown rapidly over the past decade, yet the rules to ensure responsible development have not kept up. As a result, municipalities, agricultural producers and landowners across the province raised concerns. Alberta’s government is fulfilling its duty to put Albertans first and restore the balance needed for long-term success by setting a clear path forward for responsible renewable energy development.

“We are doing the hard work necessary to ensure future generations can continue to enjoy the same Alberta that we know and love. By conserving our environment, agricultural lands and beautiful viewscapes, our government is protecting and balancing Alberta’s long-term economic prosperity. Our government will not apologize for putting Albertans ahead of corporate interests.”

Nathan Neudorf, Minister of Affordability and Utilities

Amendments to the Activities Designation Regulation and Conservation and Reclamation Regulation provide clarity for renewable energy developers on new and existing environmental protections.

These changes will create consistent reclamation requirements across all forms of renewable energy operations, including a mandatory reclamation security requirement. Albertans expect renewable power generation projects to be responsibly decommissioned and reclaimed for future generations. Alberta’s government stands firm in its commitment to protect landowners and taxpayers from being burdened with reclamation costs.

“We want to protect landowners, municipalities and taxpayers from unfairly having to cover the costs of renewable energy reclamations in the future. These changes will help make sure that all renewable energy projects provide reasonable security up front and that land will be reclaimed for future generations.”

Rebecca Schulz, Minister of Environment and Protected Areas

Alberta’s government committed to an ‘agriculture first’ approach for future development, safeguarding the province’s native grasslands, irrigable and productive lands. The protection of agricultural land is not only essential to food production, but to environmental stewardship and local wildlife protection.

The Electric Energy Land Use and Visual Assessment Regulation follows this ‘agriculture first’ approach and enhances protections for municipalities’ most productive lands, establishing the need to consider potential irrigability and whether projects can co-exist with agricultural operations. These changes are critical to minimizing the impacts of energy development on agricultural lands, protecting local ecosystems and global food security. With these new rules, Alberta’s farmers and ranchers can continue to produce the high-quality products that they are renowned for.

“Our province accounts for nearly 50 per cent of Canada’s cattle, produces the most potatoes in the country, and is the sugar beet capital of Canada. None of this would be possible without the valuable, productive farmland that these new rules protect. Understanding the need for an ‘agriculture first’ approach for energy development is as simple as no farms, no food.”

RJ Sigurdson, Minister of Agriculture and Irrigation

The new Electric Energy Land Use and Visual Assessment Regulation also establishes specific guidelines to prevent projects from impacting pristine viewscapes. By establishing buffer zones and visual impact assessment zones, Alberta’s government is ensuring that industrial power projects the size of the Calgary Tower cannot be built in front of UNESCO World Heritage sites and other specified viewscapes, which will support the continued growth and success of Alberta’s tourism sector.

As Alberta’s population and economy grows, it is critical that the province has the additional power generation needed to meet increasing demand. Power generation must be developed in a balanced and responsible manner that promotes environmental stewardship, ensures the continued enjoyment of Alberta’s beautiful landscapes, and safeguards food security by protecting Alberta’s valuable agricultural lands. By encouraging the responsible development of additional power generation with these new regulations, Alberta’s government is listening to Albertans and ensuring the electricity grid is affordable, reliable and sustainable for generations to come.

Summary of Policy Changes

Following the policy direction established on February 28, 2024, Alberta’s government is now implementing the following policy and regulatory changes for renewable power development:

Agricultural lands

The new Electric Energy Land Use and Visual Assessment Regulation takes an “agriculture first” approach.
• Renewable energy developments will no longer be permitted on Land Suitability Rating System (LSRS) Class 1 and 2 lands unless the proponent can demonstrate the ability for both crops and/or livestock to coexist with the renewable generation project,

• In municipalities without Class 1 or 2 lands, Class 3 lands will be treated as Class 1 and 2.

• An irrigability assessment must be conducted by proponents and considered by the AUC.

Reclamation security

Amendments to the Activities Designation Regulation and Conservation and Reclamation Regulation create consistent reclamation requirements across all forms of renewable energy operations, including a mandatory reclamation security requirement. There will be a mandatory security requirement for projects located on private lands.

• Developers will be responsible for reclamation costs via a mandatory security or bond.

• The reclamation security will either be provided directly to the province or may be negotiated with landowners if sufficient evidence is provided to the AUC.

Viewscapes

The Electric Energy Land Use and Visual Assessment Regulation ensures pristine viewscapes are conserved through the establishment of buffer zones and visual impact assessment zones as designated by the province.

• New wind projects will no longer be permitted within specified buffer zones.

o Other proposed electricity developments located within the buffer zones will be required to submit a
visual impact assessment before approval.

• All proposed electricity developments located within visual impact assessment zones will be required to submit a visual impact assessment before approval.

Municipalities

The AUC is implementing rule changes to:

• Automatically grant municipalities the right to participate in AUC hearings.

• Enable municipalities to be eligible to request cost recovery for participation and review.

• Allow municipalities to review rules related to municipal submission requirements while clarifying consultation requirements.

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