NDVI 16-Day 250m dataset in Xinjiang provice (2000-2017)

1. Data source: MODIS/Terra Vegetation Indices 16-day L3 Global 250m SIN Grid V006 products (2000-2017) Download address https://search.earthdata.nasa.gov/ 2. Data name: (1) resize is automatically generated in the batch cropping process, which means that it has been extracted by mask and the data range after processing is xinjiang provice; (2) seven digits represent the time of data acquisition, the first four digits are years, and the last three digits are days of the year.For example, "2000049" means that the year of data acquisition is 2000 and the specific time is the 49th day of that year. (3) 250m represents the ground resolution, i.e. 250 meters; (4) 16_days represents the time resolution, that is, 16 days; (5) NDVI represents data type, namely normalized vegetation index; 3. Data time range: 2000049-2017353, data interval of 16 days; 4..Tif file and.hdr file . Tif file is the original NDVI data with the same name. HDR file is the mask data that supports normal use of. 5. To analyze the ecological effects of cryosphere

0 2019-11-28

A late Middle Pleistocene Denisovan mandible from the Tibetan Plateau

This data is derived from the Supplementary Tables of the paper: Chen, F. H., Welker, F., Shen, C. C., Bailey, S. E., Bergmann, I., Davis, S., Xia, H., Wang, H., Fischer, R., Freidline, S. E., Yu, T. L., Skinner, M. M., Stelzer, S., Dong, G. R., Fu, Q. M., Dong, G. H., Wang, J., Zhang, D. J., & Hublin, J. J. (2019). A late Middle Pleistocene Denisovan mandible from the Tibetan Plateau. Nature, 569, 409-412. This research is another breakthrough made by academician Fahu Chen and his team over the years research of human activities and environmental adaptation on the Tibetan Plateau. The research team analyzed the newly discovered hominid mandible fossils in Xiahe County, Gansu Province, China, and identified it belongs to Denisovan of the Tibetan Plateau, which suggested to call Xiahe Denisovan. The team conducted a multidisciplinary analysis of the fossil, including chronology, physique morphology, molecular archaeology, living environment and human adaptation. It is the first Denisovan fossil found outside the Denisova Cave in the Altai Mountains and the earliest evidence of human activity on the Tibetan Plateau (160 kyr BP). This study provides key evidence for further study of Denisovans' physical characteristics and distribution in East Asia, it also provides evidence of a deep evolutionary history of these archaic hominins within the challenging environment of the Tibetan Plateau. This data contains 6 tables, table name and contents are as follows: t1: Distances in mm between meshes generated from CT versus photoscans (PS). t2: Measurements of the Xiahe mandible after reconstruction. t3: Comparative Dental metrics. t4: Comparative crown morphology. t5: Uniprot accession numbers for protein sequences of extant primates used in the phylogenetic analyses. t6: Specimen names and numbers.

0 2019-11-16

1:1 million vegetation map of China

This data is digitized according to the 1:1,000,000 Vegetation Atlas of China. The 60 maps in the atlas are digitized one by one (polygon attribute), then projected, matched and spliced. Finally, vegetation attributes are assigned to each polygon. The vegetation attributes include: vege_id (vegetation group number), new number, vegetation group and sub group, vegetation Type number, vegetation type, vegetation type group number, vegetation type group, vegetation category, and corresponding attribute information in English. The 1:1,000,000 Vegetation Atlas of China was edited by academician Hou Xueyu, a famous vegetation ecologist, and jointly compiled by more than 250 experts from relevant research institutes of the Chinese Academy of Sciences, relevant ministries and commissions, relevant departments of various provinces and regions, colleges and universities and other 53 units. It was officially published by Science Press in 2001 and publicly distributed at home and abroad. This atlas is another summative achievement of vegetation ecology workers in China for more than 40 years after the publication of "Chinese vegetation" and other monographs. It is the basic map of national natural resources and natural conditions. It reflects in detail the distribution of vegetation units of 11 vegetation type groups, 796 formations and sub formations of 54 vegetation types, horizontal and vertical zonal distribution laws, and also reflects the actual distribution of more than 2000 dominant species of plants, major crops and cash crops in China, as well as the close relationship between dominant species and soil and ground geology. Because this atlas is a kind of realistic vegetation map, it reflects the quality of vegetation in China. This atlas is in quarto format, 280 pages, including 60 vegetation type maps of 1:1,000,000 in China, 1 topography of China at a scale of 1:10,000,000, 1 vegetation map of China and 1 vegetation zoning map of China, with Chinese and English legend. This atlas is the basic map of national natural resources and natural geographical characteristics, and it is the essential scientific data and important basis for the study of global environmental change, biodiversity, environmental protection and monitoring. Vegetation map is the specific expression of existing vegetation spatial distribution on the map. One millionth of China's vegetation map is the most detailed and accurate vegetation map in China so far. The data collection time is 2011-2012, it can serve students and researchers engaged in vegetation ecology research. This data is limited to the internal exchange of the Institute. Alberts projection is adopted for the map, and its parameters are as follows: · coordinate system: geodetic coordinate system · projection: Alberts positive axis equal area double standard weft conic projection · South standard weft: 25 ° n · North standard weft: 47 ° n · central longitude: 105 ° e · coordinate origin: intersection of 105 ° E and the equator · latitudinal migration: 0 · meridional migration: 0

0 2019-11-12

Framework of mechanistic model for predicting vulnerability of reptile (ectotherm) under climate change

This framework aims to explore the impact of climate change on the fitness of ectotherms. We obtain the morphology, physiology, behavior and life history parameters of the animals by consulting literature and experimental research; then use the microclimate model and global warming data to obtain microclimate data at the current and the end of the century; and then use the biophysical model to calculate adult body temperature and embryonic developmental temperature. We construct a life history mechanism model to calculate the energy budget of the reproductive female and the total energy of the surviving offspring, and assess the vulnerability of ectotherms in each region. The main point of this study is to construct a segmental life history mechanism model for species of two reproductive modes, so that the start time and duration of each life history can be dynamically calculated, and the energy of each life history stage can be calculated by combining energy metabolic and embryonic development models.

0 2019-10-31

Vegetation Index (NDVI) data of Tibetan Plateau

The data include NDVI data of Tibetan Plateau region, with spatial resolution 1000m, time resolution 16d, and time coverage in 2000, 2005, 2010 and 2015.The data source is MOD13A2(C6).NDVI is a kind of vegetation index formed by combining visible light and near-infrared bands of satellites according to the spectral characteristics of vegetation.NDVI is a simple, effective and empirical measure of surface vegetation.The data is of great significance for analyzing the ecological environment of Tibetan Plateau.

0 2019-10-27

Bird data along Zhamo Highway in Medog and Bome counties (2018)

The birds along the Zhamo Highway in Medog and Bome counties are investigated by mist net method and point count method. According to the 400-meter elevation span, elevation transects were set up in the survey area. Four elevation transects are set up in the north slope from Gangcun to Galong Temple in Bome County, from low to high, and nine elevation transects are set up in the south slope from Jiefang Bridge to Galongla in Medog County. So that we can make a breakthrough understanding the formation and maintenance mechanism of bird diversity in this region. The data of bird diversity and distribution will be used to further explore the key scientific issues such as the impact of climate change on bird diversity and adaptation strategies, and the response and protection strategies of bird species diversity under the global climate change.

0 2019-10-27

PML_V2 global evapotranspiration and gross primary production (2002.07-2019.08)

PML_V2 terrestrial evapotranspiration and total primary productivity dataset, including gross primary product (GPP), vegetation transpiration (Ec), soil evaporation (Es), vaporization of intercepted rainfall , Ei) and water body, ice and snow evaporation (ET_water), a total of 5 elements. The data format is tiff, the space-time resolution is 8 days, 0.05°, and the time span is 2002.07-2019.08. Based on the Penman-Monteith-Leuning (PML) model, PML_V2 is coupled to the GPP process based on stomatal conductance theory. GPP and ET mutually restrict and restrict each other, which makes PML_V2 in ET simulation accuracy, which is greatly improved compared with the previous model. The parameters of PML_V2 are divided into different vegetation types and are determined on 95 vorticity-related flux stations around the world. The parameters were then migrated globally according to the MODIS MCD12Q2.006 IGBP classification. PML_V2 uses GLDAS 2.1 meteorological drive and MODIS leaf area index (LAI), reflectivity (Albedo), emissivity (Emissivity) as inputs, and finally obtains PML_V2 terrestrial evapotranspiration and total primary productivity data sets.

0 2019-10-25

1:100000 vegetation map of Heihe River Basin(2015) (version 3.0)

1:100000 vegetation map of Heihe River Basin, the regional scope is subject to the Heihe river boundary of Huangwei Committee, the area is about 14.29 × 104km2, the data format is GIS vector format, this version is version 3.0. The data is mainly based on ground observation data, integrated with all kinds of remote sensing data, 1:1 million vegetation map, climate, terrain, landform, soil data mapping, and compiled by cross validation. The classification standard, legend unit and system of vegetation map of the people's Republic of China (1:1000000), 2007 are adopted, including vegetation type group, vegetation type, formation and sub formation. The new version mainly unifies the codes of the new formation (74 codes in total, distinguishing the formation and the sub formation). 9 vegetation type groups, 22 vegetation types and 74 formations (sub formations) in version 2.0 were changed into 9 vegetation type groups, 22 vegetation types and 67 formations (7 sub formations).

0 2019-10-24

Vegetation coverage of China Mongolia Russia economic corridor (1990, 2000, 2005) V1.0

The vegetation coverage data of theChina-Mongolia-Russia Economic Corridor is based on the Landsat TM data. The dataset includes three-year vegetation coverage data( 1990, 2000, and 2005). The Normalized Difference Vegetation Index (NDVI) is extracted first and then converted into vegetation coverage. Since the image is greatly affected by the cloud, this data is replaced by the same period image of the nearby year. The land cover of the corridor is mainly grassland (steppe). Seasonal and one-time precipitation have a great impact on grassland growth. Therefore, there are still different time splicing problems in this data. After that we will propose a solution to the problem and share the new version of the data. For example, based on a large amount of remote sensing data (multi-temporal phase), the maximum synthesis method is used to extract vegetation coverage.

0 2019-10-24

List and distribution database of Alpine Periglacial plants (2018)

The checklist and distribution database of alpine subnival plants mainly includes the collection information and identification information of alpine subnival plants. Between them, the collection information document includes species name, genus name, family name, habitat, altitude, longitude and latitude, collector and collection time; while the identification information document includes species name, genus name, family name, determinavit and identification time. The collected information in the database comes from the first-hand data in the field, while the identification information comes from the identification results of famous botany experts in the world. The quality of data in database is high. It can not only be used in the study of flora and regionalization, but also lay a solid foundation for the study of plant diversity, ecosystem and global climate change response.

0 2019-10-23