LBA-ECO CD-08 Radiocarbon Dating of Tree Ages in Amazonas, Acre, and Para in Brazil

简介

本数据集报告了通过放射性碳测年法（14C）测定的亚马逊地区三片森林中树木的年龄和生长率。树木样本采集于 2001 年至 2003 年间，地点包括亚马逊州马瑙斯市 ZF2 km 34 的永久研究地块、阿克里市的卡图巴实验农场以及帕拉州塔帕若斯国家森林 km 83 的塔楼点（伐木林点）。

97 棵单株树木的样本要么是树芯（马瑙斯和阿克里），要么是树芯和从塔帕若斯国家森林（帕拉）伐木过程中切下的树干板的组合。放射性碳测年（14C）用于确定不同直径等级单株树木样本的年龄和平均直径生长增量。这些测量结果可用于验证和扩展使用树木测量仪进行的短期直径生长增量测量，并约束树木种群统计模型。

此数据集有一个以逗号分隔的 ASCII 数据文件。

摘要

Data are presented in a single comma-separated ASCII file. File name: CD08_Tree_Ages_by_Radiocarbon_Methods_Amazonas_and_Para.csv

Column Variable name Units/format Variable description
1 Site Site:
Manaus = ZF2 km 25 - INPA Forest Management Site (lat: -2.6091, Long: -60.2093 );
Santarem = kilometer 83 (Lat: -3.017, Long: -54.9707);
Catuaba = Acre - Catuaba Experimental Farm (Lat: -10.0730; Long: -67.6290)
2 Tree_number Unique identifier for each tree sampled
3 Subsample For those trees with more than a single isotope analysis, this number is a unique identifier for subsamples along the radius of a tree crossection (see columns14-19)
4 Size_class Tree size class based on diamter at breast height (DBH) where 1 = 10 to 29.9 centimeters (cm) diameter, 2= 30 to 49.9 cm diameter and 3= greater than or equal to 50 cm diameter
5 DBH cm Diameter at breast height in centimeters, measured at 1.3 m height
6 Common_name Local name
7 Scientific_name Genus and species.
Species identification: Santarem - Sr. Nelson Rosa (Museu Emilio Gueldi); Manaus - Vilany Carneiro e Everaldo Pereira (INPA); Rio Branco - Dr. Marcos Silveira (UFAC)
8 Family Scientific family
9 Canopy_stratum Approximate canopy heights associated with these classes are: Emergent (> 45 m), Canopy ( 25- 35 m), Subcanopy (< 25 m), and Pioneer (used here to identify species that are found to colonize recent gaps and are thought to represent early succession)
10 Age yr Estimated tree age in years based on the range of calendar ages (see columns 20-24) or on extrapolation of growth rates determined from multiple ages for a single tree
11 Age_error yr Estimated error (years) in Age (column 10)
12 Growth_rate cm diameter increment yr-1 Mean growth rate in centimeters diameter per year, calculated as diameter (column 5) divided by age (column 10)
13 Alternate_growth_rate cm diameter increment yr-1 Alternate growth rate in centimeters diameter per year, calculated as the slope of the age (column 10) versus distance from center (column 14). Values are only given if they differ from the calculated mean growth rate
14 Distance_from_center cm Location of the isotope sample or subsample in centimeters distance from center of tree
15 Delta_14_C per mil Delta 14 C measurement in 2004-2005 as per mil. Expressed as in Stuivier and Polach "Discussion: Reporting of 14C Data", Radiocarbon 19, no.3 (1977): 355-363.
16 Delta_14_C_error per mil Precision (1 standard error) of the delta 14C measurement
17 Delta_13_C per mil Delta 13 C measurement of the sample presented as per mil deviation relative to PDB standard
18 Libby_age Radiocarbon years Before Present (BP) Age in radiocarbon years BP, expressed as in Stuivier and Polach "Discussion: Reporting of 14C Data", Radiocarbon 19, no.3 (1977): 355-363
19 Libby_age_error Radiocarbon years Before Present (BP) Estimated error (in radiocarbon years BP) in Libby_age (column 18), calculated using Oxcal 3.0 (http://c14.arch.ox.ac.uk/embed.php?File=oxcal.html) and 2 sigma error
20 Calibrated_date_range_1 Calendar age range (years), where multiple calendar year ranges are possible at the 2 sigma level, we give all ranges
21 Calibrated_date_range_2 Calendar age range (years), where multiple calendar year ranges are possible at the 2 sigma level, we give all ranges
22 Calibrated_date_range_3 Calendar age range (years), where multiple calendar year ranges are possible at the 2 sigma level, we give all ranges
23 Calibrated_date_range_4 Calendar age range (years), where multiple calendar year ranges are possible at the 2 sigma level, we give all ranges
24 Calibrated_date_range_5 Calendar age range (years), where multiple calendar year ranges are possible at the 2 sigma level, we give all ranges
missing data are represented by -9999

Site boundaries: (All latitude and longitude given in degrees and fractions)

Site (Region) Westernmost Longitude Easternmost Longitude Northernmost Latitude Southernmost Latitude Geodetic Datum
Para Western (Santarem) - km 83 Logged Forest Tower Site (Para Western (Santarem)) 54.9707 54.9707 3.017 3.017 World Geodetic System, 1984 (WGS-84)
Amazonas (Manaus) - ZF2 km 34 (Amazonas (Manaus)) -60.2093 -60.2093 -2.6091 -2.6091 World Geodetic System, 1984 (WGS-84)
Acre - Catuaba Experimental Farm (Acre) -67.629 -67.629 -10.073 -10.073 World Geodetic System, 1984 (WGS-84)

代码
!pip install leafmap
!pip install pandas
!pip install folium
!pip install matplotlib
!pip install mapclassify

import pandas as pd
import leafmap

url = "https://github.com/opengeos/NASA-Earth-Data"
df = pd.read_csv(url, sep="\t")
df

leafmap.nasa_data_login()

results, gdf = leafmap.nasa_data_search(
short_name="CD08_Radiocarbon_Dates_997",
cloud_hosted=True,
bounding_box=(-60.21, -2.61, -60.0, -2.5),
temporal=("2001-01-01", "2003-12-31"),
count=-1, # use -1 to return all datasets
return_gdf=True,
)

gdf.explore()

leafmap.nasa_data_download(results[:5], out_dir="data")

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