Re-imagining the Future of Forest Management -- An Age-Dependent Approach towards Harvesting
Shuyang Bian, Yuanyuan Xie, Flora Zhang

TL;DR
This paper introduces a comprehensive age-dependent forest management model that optimizes carbon sequestration and economic returns, incorporating climate, biological, and economic factors to improve sustainable harvesting strategies.
Contribution
The study develops a novel growth and economic evaluation model integrating age-dependent dynamics and global predictions for forest management.
Findings
Model predicts high sensitivity to environmental changes.
Simulations show robustness of utility across varied conditions.
Application to Georgia forest demonstrates practical utility.
Abstract
Facing the drastic climate changes, current strategies for enhancing carbon dioxide stocks need to be thoroughly honed. To address the problem, we first built a carbon sequestration growth model driven by growth rate dependency (GRDM). We abstracted the carbon cycling system into the process of photosynthesis, the humidity fluctuation, and the original storage of carbon in the trees. In the photosynthesis model, we considered various factors, including transition rate of absorption and organic matter production. We also designed an Economic Return Evaluation Model (EREM) to estimate the optimal distribution of trees in the forest based on the utility function. Maximizing the utility brought by the amount of carbon storage, we derived the equation for profit optimization with the constraints of total economic expenses allowed. To assess its performance, we took an object-oriented…
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Taxonomy
TopicsPlant Water Relations and Carbon Dynamics · Sustainability and Ecological Systems Analysis
