Application of a trait‐based species screening framework for vegetation restoration in a tropical coral island of China

1. Selecting suitable species for vegetation restoration presents a notable challenge for land managers and scientists. Recently developed trait‐based approaches may be an effective means of overcoming this challenge. However, we lack a trait‐based species screening model that can be used to select potential species for restoration of degraded ecosystems. 2. Here, we developed a species screening model based on quantitative trait‐based theory and a maximum entropy algorithm. The objective was to select more species that have comparable restoration abilities to the target species that have high survival rates for vegetation restoration based on species’ functional traits. Thus, species diversity will be improved to facilitate restoration. We also developed a software platform that can be used to implement the model. We then applied our model and software platform to select species for restoration efforts in a tropical coral island which is part of Hainan Island, China. 3. As a prer...1. 为植被修复遴选适宜物种，是土地管理者与科研人员共同面临的一项显著挑战。近年来新兴的基于性状的（trait-based）研究方法，或为破解这一难题提供了有效路径，但目前仍缺乏可用于筛选退化生态系统修复潜在物种的基于性状的物种筛选模型。 2. 本研究基于定量性状理论与最大熵算法（maximum entropy algorithm）构建了一款物种筛选模型，旨在通过物种的功能性状（functional traits），筛选出与高存活率目标修复物种具备同等修复效能的更多候选物种，以提升物种多样性进而助力生态修复。同时，本研究还开发了可用于运行该模型的软件平台。随后，我们将所构建的模型与软件平台应用于中国海南岛附属热带珊瑚岛的修复物种遴选工作中。 3. 作为一项预（prer...）