Data from: Potential geographic distributions of endangered Opisthopappus Shih in response to environmental changes
Creators
- 1. Shanxi Normal University
- 2. Northwest University
- 3. Saint Mary's University
Description
Environmental changes could dramatically influence the distribution area and niche of organisms. Taihang Mountains contain numerous endemic species, regarded as a center of distribution and diversity for many plant genera. It is necessary that having more comprehensive studies of test climate effects on species in this area. Opisthopappus (containing two species Opisthopappus taihangensis and Opisthopappus longilobus) is an endangered and endemic genus in the Taihang Mountains. Predicting the suitable potential distribution, exploring the niche difference between two species and determining the important environmental factors are very critical for the sustainable utilization and scientific conservation. In this study, the distribution areas of both two species decreased drastically from the LIG to LGM period. Main refugia might have been in the centre of the Taihang Mountains. Compared LGM, the distribution ranges expanded in the Mid-Holocene period whether O. longilobus or O. taihangensis, and that generally similar to the present distribution areas of two species. From 2050 to 2070, the predicted distribution area greatly increased for both two species. Moreover, O. longilobus migrated toward south and east, while O. taihangensis moved toward west. Among all 37 environmental variables, fourteen variables (bio2, bio3, bio4, bio8, bio11, bio13, bio15, elev, T_CaCO3, T_GRAVEL, T_OC, T_SAND, T_SILT, T_TEB) were the most important factors influencing on the distribution of Opisthopappus. O. taihangensis and O. longilobus presented a significant niche differentiation, and this change occurred gradually with the passage of time. These would provide some clues for the management and conservation for O. taihangensis and O. longilobus.
Notes
GENERAL INFORMATION
Date of data collection (2020-10) :
Geographic location of data collection ( latitude 34°N-38°N and longitude 111°E-115°E of Taihang Mountains in China)
SHARING/ACCESS INFORMATION
The data do not contain sensitive information, and do not have licensing conflicts with CC0.
DATA & FILE OVERVIEW
1. File List: S_Table_2_Extract_variable.csv The environmental factors were extracted with ARCGIS software
fig.2.tif HD Figure
fig.1.tif HD Figure
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fig.3B.tif HD Figure
fig.4.tif HD Figure
fig.5.tif HD Figure
METHODOLOGICAL INFORMATION
Methods for processing the data: The environmental factors were extracted with ARCGIS 10.7 software.
DATA-SPECIFIC INFORMATION FOR: [S_Table_2_Extract_variable.csv]
1. Number of variables: 41
2. Number of rows: 44
3. Variable List:
From left to right, each column of the CSV file contains the species name, latitude, longitude, sampling point name, and Environmental Extend Variables.
OBJECTID= species name
lat= latitude
long= longitude
location= sampling point name
T_GRAVEL=Topsoil Gravel Content
T_SAND=Topsoil Sand Fraction
T_SILT=Topsoil Silt Fraction
T_CLAY=Topsoil Clay Fraction
T_USDA_TEX=Topsoil USDA Texture Classification
T_REF_BULK=Topsoil Reference Bulk Density
T_OC=Topsoil Organic Carbon
T_PH_H2O=Topsoil pH (H2O)
T_CEC_CLAY=Topsoil CEC (clay)
T_CEC_SOIL=Topsoil CEC (soil)
T_BS=Topsoil Base Saturation
T_TEB=Topsoil TEB
T_CACO3=Topsoil Calcium Carbonate
T_ESP=Topsoil Sodicity (ESP)
T_ECE=Topsoil Salinity (Elco)
T_TEXTURE= Topsoil Texture
AWC_CLASS= Available water content Range
elev= elevation
DRAINAGE= Drainage class
REF_DEPTH= Reference Soil Depth
ADD_PROP= Other properties (gelic, vertic, petric)
T_CASO4=Topsoil Gypsum
BIO1 = Annual Mean Temperature
BIO2 = Mean Diurnal Range (Mean of monthly (max temp - min temp))
BIO3 = Isothermality (BIO2/BIO7) (* 100)
BIO4 = Temperature Seasonality (standard deviation *100)
BIO5 = Max Temperature of Warmest Month
BIO6 = Min Temperature of Coldest Month
BIO7 = Temperature Annual Range (BIO5-BIO6)
BIO8 = Mean Temperature of Wettest Quarter
BIO9 = Mean Temperature of Driest Quarter
BIO10 = Mean Temperature of Warmest Quarter
BIO11 = Mean Temperature of Coldest Quarter
BIO12 = Annual Precipitation
BIO13 = Precipitation of Wettest Month
BIO14 = Precipitation of Driest Month
BIO15 = Precipitation Seasonality (Coefficient of Variation)
BIO16 = Precipitation of Wettest Quarter
BIO17 = Precipitation of Driest Quarter
BIO18 = Precipitation of Warmest Quarter
BIO19 = Precipitation of Coldest Quarter
Funding provided by: National Natural Science Foundation of China
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100001809
Award Number: 31970358
Funding provided by: Shanxi Scholarship Council of China
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100003398
Award Number: 2020-090
Funding provided by: Graduate Education Innovation Project of Shanxi*
Crossref Funder Registry ID:
Award Number: 2020SY323
Funding provided by: Graduate Education Innovation Project of Shanxi
Crossref Funder Registry ID:
Award Number: 2020SY323
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Additional details
Related works
- Is derived from
- 10.5061/dryad.prr4xgxmz (DOI)