2015_2019Northeast_Forest_ Survey_Sample_Summary_raw_data_up.csv

Name: 2015_2019Northeast_Forest_ Survey_Sample_Summary_raw_data_up.csv
Creator: Yan, Guoyong
Published: 2024-03-06T00:00:00+08:00

Figshare2024-03-06 更新2026-04-08 收录

热带森林碳储量评估

树种功能生态学

数据链接：

https://figshare.com/articles/dataset/2015_2019Northeast_Forest_Survey_Sample_Summary_raw_data_up_csv/25348171/1 数据链接链接失效反馈

官方服务：

资源简介：

Raw data for the manuscript "<b>Forest carbon stocks increase with higher dominance of ectomycorrhizal trees</b>".

提供机构：

Yan, Guoyong

创建时间：

2024-03-06

Structural complexity and large-sized trees explain shifting species richness and carbon relationship across vegetation types

热带森林碳储量评估

生物多样性与生态系统功能

1. It is prominently claimed that enhancing forest diversity would play a dual role of nature conservation and climate regulation. While the idea is intuitively appealing, studies show that species ri

NIAID Data Ecosystem90

Total carbon stocks, soils data up to 3m depth and tree height and DBH allometry for the Amacayacu Forest Dynamics Plot.

热带森林碳储量评估

热带雨林碳循环

This data package supports the article “Local scale carbon stock measurements, including deep soil layers, in a terra firme forest in northwestern Amazon” (Journal of Tropical Ecology, DOI: https://do

DataONE2025-01-29 更新60

Grid Based Global Carbon Edge Regression Coefficients and Aggregations

热带森林碳储量评估

生物量建模

Grid cell based regression coefficients for predicting global biomass in the pantropics. To better account for the variability within a continent, we constructed 100-km grid cells throughout the pan

NIAID Data Ecosystem40

Dataset: Impacts of natural regeneration on tree C stocks and SOC stocks in an upland area of the Peak District

热带森林碳储量评估

自然再生生态效应

The fieldwork was conducted in Agden Bog Nature reserve. The bulk density calculations can be found in the file bulk densty.xml. Tree biomass (AGB) was estimated by converting tree data into biomass u

DataCite Commons2025-03-07 更新70

辽宁省铁岭市2015年碳储量分布图

热带森林碳储量评估

碳循环监测

该数据集属于森林资源学科，是矢量型数据，包括辽宁省铁岭市2015年的森林碳储量分布等基础地理信息。来源于2015年固定样地点，主要林分类型包括白桦林、侧柏林、赤松林、刺槐林、黑桦林、椴树林、红松林、冷杉林、栎林、柳树林、落叶松林等。

国家林业和草原科学数据中心2021-06-17 更新60