LBA-ECO CD-09 巴西塔帕若斯国家森林土壤和植被特征

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【摘要】 ​LBA-ECO CD-09 Soil and Vegetation Characteristics, Tapajos National Forest, Brazil简介该数据集报告了 1999 年 11 月在巴西帕拉州圣塔伦以南 50 至 100 公里的塔帕若斯国家森林 (TNF) 内四个不同区域进行的土壤和植被调查的结果。在四个区域的 13 个独立站点(均位于原始森林中),收集了深度为 ...

LBA-ECO CD-09 Soil and Vegetation Characteristics, Tapajos National Forest, Brazil

简介

该数据集报告了 1999 年 11 月在巴西帕拉州圣塔伦以南 50 至 100 公里的塔帕若斯国家森林 (TNF) 内四个不同区域进行的土壤和植被调查的结果。在四个区域的 13 个独立站点(均位于原始森林中),收集了深度为 10、30 和 50 厘米的核心土壤样本,并分析了干质量、容重、质地、碳百分比 (C)、有机质百分比和氮百分比 (N)。在这 13 个站点,植被沿着 250 米长、10 米宽的横断面进行描述。通过物种的异速生长关系、测量的高度、冠层尺寸和直径,估算了所有 DBH 超过 10 厘米树干的生物量。使用 LICOR LAI-2000 沿横断面在 26 个点测量了 LAI。黎明时分用猎枪收集冠层叶子样本,并用压力室测定叶水势。对树叶、木材、树皮、细根和凋落物样本进行了%N、%C、δ13C 和δ15N 的分析。此数据集包含五个以逗号分隔的 ASCII 数据文件。


摘要

File 1: CD09_Soil_texture_C_and_N_TNF.csv

Column Heading Units/format Description
1 Plot_ID Sampling plot identification number: sampling plots 10 meters wide and 250 meters long were established at each location
2 Subplot_ID Subplot identification number: each plot was divided into 5 subplots
3 Depth cm Sample depth
4 Wt_wet g Fresh weight of first soil sample in grams
5 Wt_dry g Weight in grams of soil sample after being dried in an oven at 105 degrees C
6 Bulk_density g per cm3 Soil bulk density in grams per cubic centimeter
7 GWC percent Gravimetric water content in percent of wet weight
8 C_conc percent Soil carbon concentration in percent by weight analyzed at EMBRAPA in Belem
9 SOM_conc percent Soil organic matter concentration in percent by weight analyzed at EMBRAPA in Belem
10 N_conc percent Soil nitrogen concentration in percent by weight analyzed at EMBRAPA in Belem
11 CN_ratio Mass based soil carbon to nitrogen ratio
12 Coarse_sand percent Percent of soil particles classified as coarse sand
13 Fine_sand percent Percent of soil particles classified as fine sand
14 Silt percent Percent of soil particles classified as silt
15 Clay percent Percent of soil particles classified as clay


File 2: CD09_Biomass_inventory_TNF.csv

Column Heading Units/format Description
1 Sample_date yyyymmdd  Sampling date (yyyymmdd)
2 Sample_year yyyy Sample year
3 Sample_month mm Sample month
4 Sample_day dd Sample day
5 Site At each site (1-13), a sampling plot was established along a transect 250 m long and 10 m wide
6 Subplot Subplot identification number (1-5): each sampling plot was divided into 5 subplots 50 m long
7 L/R Left (L) or right (R) of the transect line
8 Tree_no Tree identification number
9 Species Identification of species with the local name
10 dbh cm Diameter at breast height measured in centimeters (cm)
11 Height m Tree height estimated in meters
12 X m Distance along main plot axis in meters. Measurement is reset to zero at the boundary of each subplot
13 Y m Distance to left or right (see column 3) of the main axis
14 Canopy_x m Canopy dimension along the direction of the plot main axis
15 Canopy_y m Canopy dimension perpendicular to the direction of the plot main axis
16 Notes Notations from the field notebooks
17 Basal_area cm2 Basal area of stem calculated in centimeters squared
18 Biomass_INPE kg Biomass of the stem in kilograms calculated using the INPE allometric equations
19 Biomass_Laurance kg Biomass of the stem in kilograms calculated using the Laurance allometric equations
Missing values are indicated as -9999


File 3: CD09_LAI_TNF.csv

Column Heading Units/format Description
1 Sample_year yyyy Sample year (yyyy)
2 Sample_month mm Sample month (mm)
3 Plot_ID Sampling plot identification number: sampling plots 10 meters wide and 250 meters long were established at each location
4 Subplot_ID Subplot identification number: each plot was divided into 5 subplots
5 Distance m Distance along the plot main axis where measurement was taken
6 LAI Leaf area index measured at dawn or dusk using paired LAI-2000 instruments


File 4: CD09_Leaf_Water_Potential_TNF.csv

Column Heading Units/format Description
1 Sample_date yyyymmdd  Sampling date (yyyymmdd)
2 Sample_year yyyy Sample year
3 Sample_month mm Sample month
4 Sample_day dd Sample day
5 Plot_ID Sampling plot identification number: sampling plots 10 meters wide and 250 meters long were established at each location
6 Time hh:mm Time of measurement in local time (GMT-5)
7 Height m Estimated height from which leaves were collected
8 LWP MPa Leaf water potential in Mega Pascals measured with a PMS-600 pressure bomb
9 Gravity_corr_LWP MPa Gravity corrected leaf water potential
10 Local_name Local name for tree species
11 Notes Notes from the field notebook

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/raw"
df = pd.read_csv(url, sep="\t")
df
 
leafmap.nasa_data_login()
 
 
results, gdf = leafmap.nasa_data_search(
    short_name="CD09_Soils_Veg_Tapajos_1104",
    cloud_hosted=True,
    bounding_box=(-55.21, -4.05, -54.91, -2.84),
    temporal=("1999-11-01", "1999-11-29"),
    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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