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Updated: Jul 14, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
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Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

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使用可解释的机器学习方法来评估生态系统状态过渡的脆弱性和恢复潜力

John T Delaney1, Danelle M Larson1

  • 1U.S. Geological Survey, La Crosse, Wisconsin, USA.

Conservation biology : the journal of the Society for Conservation Biology
|October 11, 2023
PubMed
概括

我们开发了一个框架来预测生态系统的变化,并为水生系统提供早期警告. 这种方法有助于恢复规划和防止生态系统崩,以沉浸水生植被作为案例研究.

关键词:
阿尔托里奥 密西西比 密西西比州上部的密西西比河河流.水生植物水生植物.生态值是指一个生态值.生态系统状态 生态系统状态生态系统的状态.息地的适宜性 息地的适宜性它们的息地适合性.巨型植物是巨型生物.麦克罗菲塔斯 (macrófitas) 是一个巨大的植物.发生的概率发生的概率.水生植物 水生植物.在场的概率.沉浸在水中的水生植物.乌姆布拉的生态环境水中水生植被可以在水中生长出现率 出现率是什么意思大型植物 大型植物密西西比河上游水生植物 水生植物沉水植物 沉水植物生境 适合性 适合性生态系统状态 生态系统状态生态值是指一个生态的值.

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