Seed Dispersal Models for Natural Regeneration: A Review and Prospects

作者：Moonil Kim, Seong‐Hun Lee, Songhee Lee, K. Yi, Hyung‐Sub Kim, Sanghoon Chung, Junmo Chung, Hyun Seop Kim, Tae Kyung Yoon · 发表于：Forests · 年份：2022 · DOI：10.3390/f13050659 · 被引用次数：30 · 研究领域：Ecology and Vegetation Dynamics Studies、Rangeland and Wildlife Management、Aeolian processes and effects

Natural regeneration in forest management, which relies on artificial planting, is considered a desirable alternative to reforestation. However, there are large uncertainties regarding the natural regeneration processes, such as seed production, seed dispersal, and seedling establishment. Among these processes, seed dispersal by wind must be modeled accurately to minimize the risks of natural regeneration. This study aimed to (1) review the main mechanisms of seed dispersal models, their characteristics, and their applications and (2) suggest prospects for seed dispersal models to increase the predictability of natural regeneration. With improving computing and observation systems, the modeling technique for seed dispersal by wind has continued to progress steadily from a simple empirical model to the Eulerian-Lagrangian model. Mechanistic modeling approaches with a dispersal kernel have been widely used and have attempted to be directly incorporated into spatial models. Despite the rapid development of various wind-dispersal models, only a few studies have considered their application in natural regeneration. We identified the potential attributes of seed dispersal modeling that cause high uncertainties and poor simulation results in natural regeneration scenarios: topography, pre-processing of wind data, and various inherent complexities in seed dispersal processes. We suggest that seed dispersal models can be further improved by incorporating (1) seed abscission mechanisms...