相关实验视频

Updated: May 7, 2025

Measurements of CO2 Fluxes at Non-Ideal Eddy Covariance Sites

Measurements of CO2 Fluxes at Non-Ideal Eddy Covariance Sites

Published on: June 24, 2019

根据Landsat时间序列和其对气候变化的反应,估计地面上方的森林碳汇

Kun Yang¹, Kai Luo¹, Jialong Zhang²

¹The Key Laboratory of Forest Resources Conservation and Utilization in The Southwest Mountains of China Ministry of Education, Key Laboratory of National Forestry and Grassland Administration on Biodiversity Conservation in Southwest, China, Yunnan Province Key Laboratory For Conservation and Utilization of In-forest Resource, Southwest Forestry University, Kunming, 650224, Yunnan, China.

Scientific reports

|January 3, 2025

概括

用遗传算法优化随机森林模型提高了森林碳汇估计准确度. 降水显著影响香格里拉的碳汇强度.

科学领域:

林业科学林业科学
气候变化研究研究气候变化研究
生态建模生态建模

背景情况:

准确的森林碳汇估计对于碳中和至关重要.
机器学习动态模型在森林碳汇评估中未得到充分利用.
香格里拉森林碳汇的气候驱动机制仍然未被探索.

研究的目的:

开发和验证一种机器学习动态模型,用于估计香格里拉的Pinus densata碳汇强度 (CSI).
分析气候因素对CSI的综合影响.
为高地生态系统的森林资源管理提供科学基础.

主要方法:

利用遗传算法 (GA) 来优化随机森林 (RF) 模型参数.
建立了动态模型来估计Pinus densata的CSI.
分析了降水,温度和表面太阳辐射对CSI的影响.

主要成果:

该GA-RF模型显著提高了估计准确度,R2增加了高达34.8% (最佳R2=0.83).
1987年至2017年间,香格里拉的松树密度CSI在0.45-0.72C·hm-2之间.
降雨对CSI产生了最重要的影响,气候因素的结合推动了CSI.

结论:

使用GA-RF优化的动态模型为高原地区的大规模,长期森林碳汇估计提供了可行的方法.
了解气候驱动机制对于有效的森林资源管理和实现碳中和目标至关重要.

关键词:

气候变化气候变化气候变化动态建模动态建模森林在地面上吸收碳,吸收碳.遗传算法遗传算法遗传算法时间序列时间序列

更多相关视频

Measuring and Mapping Patterns of Soil Erosion and Deposition Related to Soil Carbonate Concentrations Under Agricultural Management

Measuring and Mapping Patterns of Soil Erosion and Deposition Related to Soil Carbonate Concentrations Under Agricultural Management

Published on: September 12, 2017

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

Published on: October 16, 2018

相关概念视频

Global Climate Change

Global Climate Change

Throughout its ~4.5 billion year history, the Earth has experienced periods of warming and cooling. However, the current drastic increase in global temperatures is well outside of the Earth’s cyclic norms, and evidence for human-caused global climate change is compelling. Paleoclimatology, the study of ancient climate conditions, provides ample evidence for human-caused global climate change by comparing recent conditions with those in the past.

The Carbon Cycle

The Carbon Cycle

Carbon is the basis of all organic matter on Earth, and is recycled through the ecosystem in two primary processes: one in which carbon is exchanged among living organisms, and one in which carbon is cycled over long periods of time through fossilized organic remains, weathering of rocks, and volcanic activity. Human activities, including increased agricultural practices and the burning of fossil fuels, has greatly affected the balance of the natural carbon cycle.