While its predecessor, Canopy, focused on the lush, dense tropical rainforest, Evergreen shifts the focus to a temperate forest ecosystem.
In a functioning ecosystem, plants and animals rely on each other to survive and reproduce. Evergreen models the interdependence of trophic levels via a mechanical pairing system between the forest habitat and its wildlife. Players score points for inviting wildlife (like bears, salmon, or elk) into their forest, but animals require specific habitats to thrive. Wildlife cards remain inactive or score poorly unless you have established the correct framework. For instance, certain apex predators or large mammals require large, mature trees or specific undergrowth elements like ferns or mushrooms to trigger their full scoring potential. The mechanic simulates carrying capacity and habitat fragmentation; if players overly focus on drafting animals without cultivating the corresponding plant life, the ecosystem collapses in efficiency.
Ecological succession, i.e. the process by which a natural system changes over time, is baked into how trees grow and synergize in the game. Trees in Evergreen are not single, static components but they are built using a multi-stage mechanism requiring a trunk card and a canopy card. A tree is considered “incomplete” and yields little ecological value until players successfully top it with a (titular) canopy. Furthermore, the game introduces a forest floor, where players track small plants, mosses, and shrubs. These smaller organisms provide scoring multipliers if they are sheltered beneath completed trees. This mirrors the spatial arrangement of a real temperate forest. The canopy creates microclimates and provides shade, which influences the biodiversity of the specialized plants on the forest floor below.
Linear economic growth is a staple of traditional board games, but ecosystems often experience cyclical disruptions. Evergreen integrates these natural disturbances not as ‘lose conditions,’ but as ecological forces that reshape the landscape. The game features fire cards mixed into the drafting piles. If players draft too many fire cards, a wildfire ravages their forest, destroying incomplete trees or vulnerable flora. However, much like a real temperate forest, in which fires clear dead organic matter and crack open fire-dependent seed cones, a controlled fire can open up new space on the board, and certain cards even benefit or trigger positive scoring loops after a disturbance. This addresses the still prevailing sentiment, fueled by popular media, that forest fires are purely destructive and terrifying forces. Furthermore, the game plays out over three seasons, forcing players to adapt to changing resource availability as winter approaches. Thus, the game reframes environmental disasters and, more broadly, ‘change’ from a frustrating ‘take-that’ mechanic into naturally occurring, systemically integrated event. It teaches players that resilience isn’t about avoiding change but building an ecosystem robust enough to absorb a shock and regenerate.
The core loop of the game uses a ‘new growth’ drafting mechanism where players look at three piles of cards sequentially, choosing to take a pile or pass it up, adding a card to any pile they pass. If a pile contains a highly desirable Apex Predator but also a dangerous fire or blight card, the player faces an ‘ecological dilemma’. Passing the pile means leaving those negative threats to accumulate for one’s opponent, but it also allows the “nutrients”, i.e. the valuable cards, in that pile to grow for the next turn. This drafting mechanic simulates the uncertainty of foraging and ecological opportunism. It is impossible to perfectly curate a pristine, risk-free environment but there are constant trade-offs to be made, e.g. managing the toxicity of certain environmental pressures to gain vital biological resources a forest needs to survive.
While both games share the “new growth” push-your-luck card drafting mechanic, comparing the mechanics of Canopy (2021) and Canopy: Evergreen (2024) yields interesting observations on real-world ecological differences between a tropical rainforest and a temperate forest.
In the original tropical Canopy, wildlife cards are mixed right into the main forest deck; players discover animals randomly while foraging through card piles. In Evergreen, wildlife is completely separated into its own market deck. To acquire an animal, players must generate a new resource (food), gained from harvesting specific plants, and spend it to actively attract animals from an open display. This simulates the higher biodiversity of a tropic forest; in comparison, fauna in temperate forests is more context-dependent.
Moreover, the original game is entirely card-based, i.e. players stack trunk cards on top of roots on a flat table to show a tree growing. Evergreen introduces a personal grid-based player board and physical interlocking cardboard trees in 3D. Where these trees are placed matters, e.g. if players complete two adjacent trees of different heights, they unlock an “ecosystem token” between them, giving permanent engine-building bonuses. This simulates the flatter canopy of tropical forests as opposed to the more terrain-dependent structure of temperate forests.
Third, In the original game, wildlife cards mostly provide static end-game victory points or basic set-collection bonuses, e.g. if pairing a male and female of a species. In Evergreen, each animal type has three entirely distinct cards: a point card, an end-of-season scoring trigger, and a once-per-season active ability that requires physically flipping an animal token over when utilized. Thus, due to the lower biological density of a temperate forest, their ‘relevance’ as expressed by points can be modelled in more detail.
Finally, in the original Canopy, weather cards like rain and sun must be paired up instantly in the player’s tableau to successfully grow a tree. Ending a round with an unequal amount of rain and sun earns players nothing. In Evergreen, Sun and Rain icons are printed across various cards, and you score points based on the total number of pairs accumulated across the entire season. While it might just be a mechanical refinement, this can simulate the more rapid, volatile sequence of rain and sunlight in tropical climates as opposed to the slower seasonal changes in more temperate conditions.