Forest to Agriculture: Based on The Lotka-Volterra Ecosystem Model

Yanxu Hou, Zike Wang, Yuhuan Yin, Yujie Zhang
Proceedings of 2025 2nd International Conference on Machine Learning and Intelligent Computing, PMLR 278:483-490, 2025.

Abstract

As people’s demand for land continues to grow, large areas of land have been reclaimed for agricultural production. As forests recede and soils change, chemicals begin to appear on farmland, and the original ecological relationships in the forest gradually evolve into a food chain driven by human activity. In this article, we established an agricultural ecological model based on Lotka-Volterra to analyze the interactions between different biological populations. First, We construct the Lotka-Volterra model based on the producer and multi-stage consumer model, determine how different species are related to each other. Second, we introduce decomposers and peregrine falcons (tertiary consumers) into the model to reflect the reappearance of species. We derive the corresponding equations and use the fourth-order Runge-Kutta method to calculate each population’s rate of change. Third, we added bats to the food web model and considered their role in insect hunting and pollination to analyze their impact. Finally, we performed a sensitivity analysis of the model, changing four survival conditions. For a given range of data, the number of organism populations eventually plateaued. This validates the sensitivity of the model and confirms the stability of organic agro-ecology.

Cite this Paper

BibTeX
@InProceedings{pmlr-v278-hou25b, title = {Forest to Agriculture: Based on The Lotka-Volterra Ecosystem Model}, author = {Hou, Yanxu and Wang, Zike and Yin, Yuhuan and Zhang, Yujie}, booktitle = {Proceedings of 2025 2nd International Conference on Machine Learning and Intelligent Computing}, pages = {483--490}, year = {2025}, editor = {Zeng, Nianyin and Pachori, Ram Bilas and Wang, Dongshu}, volume = {278}, series = {Proceedings of Machine Learning Research}, month = {25--27 Apr}, publisher = {PMLR}, pdf = {https://raw.githubusercontent.com/mlresearch/v278/main/assets/hou25b/hou25b.pdf}, url = {https://proceedings.mlr.press/v278/hou25b.html}, abstract = {As people’s demand for land continues to grow, large areas of land have been reclaimed for agricultural production. As forests recede and soils change, chemicals begin to appear on farmland, and the original ecological relationships in the forest gradually evolve into a food chain driven by human activity. In this article, we established an agricultural ecological model based on Lotka-Volterra to analyze the interactions between different biological populations. First, We construct the Lotka-Volterra model based on the producer and multi-stage consumer model, determine how different species are related to each other. Second, we introduce decomposers and peregrine falcons (tertiary consumers) into the model to reflect the reappearance of species. We derive the corresponding equations and use the fourth-order Runge-Kutta method to calculate each population’s rate of change. Third, we added bats to the food web model and considered their role in insect hunting and pollination to analyze their impact. Finally, we performed a sensitivity analysis of the model, changing four survival conditions. For a given range of data, the number of organism populations eventually plateaued. This validates the sensitivity of the model and confirms the stability of organic agro-ecology.} }
Endnote
%0 Conference Paper %T Forest to Agriculture: Based on The Lotka-Volterra Ecosystem Model %A Yanxu Hou %A Zike Wang %A Yuhuan Yin %A Yujie Zhang %B Proceedings of 2025 2nd International Conference on Machine Learning and Intelligent Computing %C Proceedings of Machine Learning Research %D 2025 %E Nianyin Zeng %E Ram Bilas Pachori %E Dongshu Wang %F pmlr-v278-hou25b %I PMLR %P 483--490 %U https://proceedings.mlr.press/v278/hou25b.html %V 278 %X As people’s demand for land continues to grow, large areas of land have been reclaimed for agricultural production. As forests recede and soils change, chemicals begin to appear on farmland, and the original ecological relationships in the forest gradually evolve into a food chain driven by human activity. In this article, we established an agricultural ecological model based on Lotka-Volterra to analyze the interactions between different biological populations. First, We construct the Lotka-Volterra model based on the producer and multi-stage consumer model, determine how different species are related to each other. Second, we introduce decomposers and peregrine falcons (tertiary consumers) into the model to reflect the reappearance of species. We derive the corresponding equations and use the fourth-order Runge-Kutta method to calculate each population’s rate of change. Third, we added bats to the food web model and considered their role in insect hunting and pollination to analyze their impact. Finally, we performed a sensitivity analysis of the model, changing four survival conditions. For a given range of data, the number of organism populations eventually plateaued. This validates the sensitivity of the model and confirms the stability of organic agro-ecology.
APA
Hou, Y., Wang, Z., Yin, Y. & Zhang, Y.. (2025). Forest to Agriculture: Based on The Lotka-Volterra Ecosystem Model. Proceedings of 2025 2nd International Conference on Machine Learning and Intelligent Computing, in Proceedings of Machine Learning Research 278:483-490 Available from https://proceedings.mlr.press/v278/hou25b.html.

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