Published August 29, 2022 | Version v1
Dataset Open

Factors to predict above-ground biomass carbon carrying capacity

  • 1. Institute of Subtropical Agriculture, Chinese Academy of Sciences
  • 2. University of Copenhagen

Description

The climate data (Mean annual temperature (°C, MAT), mean annual precipitation (mm, MAP), annually accumulated temperature with days ≥ 0°C (°C-days, AAT0), annually accumulated temperature with days ≥ 10°C (°C-days, AAT10), aridity index, and humidity index ), soil properties (soil texture and soil types) and DEM are available from the Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences (https://www.resdc.cn/); The geological elements and hydrological elements data can be found at http://dcc.ngac.org.cn/geologicalData/rest/geologicalData/geologicalDataDetail/402881f75d9bc077015d9bc084160000and https://www.webmap.cn/commres.do?method=result25W; The geomorphology data set is provided by National Tibetan Plateau Data Center (http://data.tpdc.ac.cn/zh-hans/data/63e290d7-7087-462a-acac-50195fba530b/). All data were resampled at 500m resolution.

Files

AAT0.tif

Files (917.7 MB)

Name Size Download all
md5:6b14fa870868c52637faaa83dd3d3767
57.4 MB Preview Download
md5:ed40be2c415295de91bf306063c66bcc
57.4 MB Preview Download
md5:17cf8ef02b4bbd44437749a81160c723
57.4 MB Preview Download
md5:05cba05cfe7b95c776013e9a00dec8a1
57.4 MB Preview Download
md5:b293100e0e0141935c74f607021a6304
57.4 MB Preview Download
md5:eeee43e919702c3a1653998e2a4c603b
57.4 MB Preview Download
md5:6c1f516d2d78976e5001464093275288
57.4 MB Preview Download
md5:9892c14e6f32ea2cf089fba38e080678
57.4 MB Preview Download
md5:b421f7870e10d8d9a4f97bb4252f8951
57.4 MB Preview Download
md5:4cf221f7a02d948b92388666da0d5fcd
57.4 MB Preview Download
md5:11a8f57f58528219f724f56c3fb9c108
57.4 MB Preview Download
md5:7ba8d4de5468e169174b399c3d26327f
57.4 MB Preview Download
md5:7fca2f6ac69d5fcfa5c813fe5c51a81a
57.4 MB Preview Download
md5:8251cbacf9862d9defc59146550f7c2f
57.4 MB Preview Download
md5:21bfb7b595f4b27179ed39488840bb06
57.4 MB Preview Download
md5:ce33424ca1451284ac08bf28452a2427
57.4 MB Preview Download

Additional details

References

  • Xu X.L. (2017). Spatial interpolation data set of the average status of meteorological elements in China. Registration and publication system of resources and environment science data https://doi.org/10.12078/2022082501
  • Pang J.F., Ding X.Z., Han K.Y., Zeng Y., Chen A.S., Zhang Y.L., Zhang Q.H., Yao D.S. 2017. 1∶1M Spatial Database of Geological Maps of the People's Republic of China [DB]. Geological science data, DOI: 10.23650/data.H.2017.NGA105570.T1.64.1.;http://dcc.ngac.org.cn/geologicalData/rest/geologicalData/geologicalDataDetail/402881f75d9bc10e015d9bc11be70000
  • Cheng, W., Zhou, C. (2014). Geomorphological of China 1:4,000,000. National Tibetan Plateau Data Center, DOI: 10.11888/Geogra.tpdc.270602. CSTR: 18406.11.Geogra.tpdc.270602.