草原地表生物质的估计和分析其对气候因素的反应,使用随机森林算法在新疆,中国
Ping Dong1,2,3, Changqing Jing1,2,3, Gongxin Wang1,2,3
1College of Grassland Science, Xinjiang Agricultural University, Urumqi 830052, China.
Plants (Basel, Switzerland)
|March 18, 2024
概括
在新疆,准确的草原地表生物量 (AGB) 估计对于了解碳循环至关重要. 使用遥感数据的可靠随机森林模型准确地绘制了2000-2022年的AGB变化,揭示了受降水影响的趋势.
科学领域:
- 生态生态学 生态生态学
- 遥感 遥感 遥感 遥感
- 环境科学 环境科学
背景情况:
- 地表生物量 (AGB) 是草原健康和生产力的关键指标.
- 准确的AGB估计对于了解区域碳循环和草原管理至关重要.
- 新疆的草原具有生态意义,需要有效的监测工具.
研究的目的:
- 开发和验证一个可靠的模型来估计新疆的草原AGB.
- 分析2000年至2022年草原AGB的时空动态.
- 调查草原AGB与该地区气候因素之间的关系.
主要方法:
- 使用随机森林算法进行AGB建模.
- 综合AGB观测数据,遥感植被指数和气象数据.
- 对估计的AGB进行了时空空间分析和与气候变量进行了相关性分析.
主要成果:
- 为新疆的草原开发了一个可靠的AGB模型 (R2 = 0.55,RMSE = 64.33 g·m−2).
- 在西北新疆观察到高AGB,在东南地区观察到低AGB,普遍上升趋势 (61.19%的地区).
- 发现草原AGB与降水有积极的相关性,表明对区域温暖加湿的反应.
结论:
- 基于森林的随机遥感模型是有效的估计草原 AGB.
- 这些发现为新疆的可持续草原管理和保护提供了必要的数据.
- 了解AGB动态是平衡牲畜需求和生态保护的关键.
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