Possible Features Based on Earth #166
idsus
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Ideas and Suggestions
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As a geologist I would love to see 9. 12 and 13 are then obvious includes. New stats needed would be water need/requirement and heat tolerance as well as maybe oxygen requirement (hence not suited for heights). Geological processes could affect the biomes/habitats which would replace walls (walls could still exist as tall mountain cliffs). It would be very interesting to see how that could influence the simulation over simulated eons. Other youtubers with simulations have similar systems but typically combined with also more advanced animal/plant models which is not necessarily a good thing for something like this. |
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Ignore this, it may not be useful as it just lists possible features that are based on our planet but is mainly just possible ideas where much is complex to implement.
Energy Flow and Trophic Levels: Introduce a system where organisms gain energy by consuming other organisms, with distinct trophic levels representing different roles in the ecosystem.
Food Web Dynamics: Model complex food webs with predator-prey interactions, competition for resources, and cascading effects throughout the ecosystem.
Resource Distribution: Simulate the distribution and scarcity of resources like food, water, and shelter, affecting population dynamics and species interactions.
Carrying Capacity: Define maximum sustainable population sizes for each species, with population growth slowing as populations approach this limit.
Environmental Changes: Incorporate natural events and human impacts, such as weather patterns, seasonal fluctuations, natural disasters, and habitat destruction.
Mutualistic Relationships: Include mutualistic interactions between species, such as pollination, seed dispersal, and symbiotic relationships.
Waste and Decomposition: Implement waste production and decomposition, with dead organisms being broken down by decomposers to recycle nutrients.
Genetic Variation: Enhance the genetic system to include diverse traits and variability within populations, allowing for adaptation to changing environmental conditions.
Long-Term Evolution: Extend the simulation over geological time scales to observe speciation, extinction, and the gradual emergence of new species.
User Interaction: Allow users to interact with the simulation by implementing interventions like habitat restoration, species reintroduction, or conservation measures.
Seasonal Changes: Model seasonal variations in temperature, precipitation, and resource availability, impacting behavior, reproduction, and migration patterns.
Biomes and Habitats: Create different biomes with distinct environmental conditions, species compositions, and adaptations, reflecting real-world ecosystems.
Dynamic Terrain: Introduce terrain features like mountains, rivers, and forests, influencing habitat suitability, species distributions, and migration routes.
Reproductive Strategies: Implement diverse reproductive strategies, including sexual and asexual reproduction, with trade-offs between reproductive success and survival.
Predator Avoidance: Simulate predator avoidance behaviors, camouflage, mimicry, and defensive adaptations in prey species.
Climate Change: Model the effects of climate change on ecosystem dynamics, including shifts in species distributions, phenology, and ecosystem services.
Ecosystem Services: Quantify ecosystem services provided by different species, such as pollination, carbon sequestration, and water purification, and their importance for ecosystem health.
Adaptive Radiation: Explore the concept of adaptive radiation, where a single ancestor gives rise to multiple species adapted to different niches, leading to biodiversity. The pixels could initially start randomly at the beginning but then evolve accordingly into different species for things like producers, consumers, predators, prey, decomposers, etc.
Co-evolution: Simulate co-evolutionary dynamics between interacting species, such as plant-pollinator relationships, predator-prey arms races, and host-parasite interactions.
Data Visualization: Provide tools for visualizing population dynamics, species interactions, genetic diversity, and ecosystem health, enabling users to analyze and interpret simulation results.
Brain: An editable brain that could be based on neural networks but somehow editable. This is probably very complex. Could be integrated with neural networks and reinforcement learning
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