Based on previous herpetological surveys of Xizang plateau from 2010-2018, we collected additional information that included population size, diversity and distribution range for specific amphibian and reptile groups. We selected species belonging to genera Ranidae, Megophryidae, Rhacophoridae, Dicroglossidae, Gekkonidae, Agamidae, Colubridae as model species for study. Following species’ response to environmental changes, we obtained data on population size and distribution range. Our study therefore serves as guide for assessment of biodiversity pattern and mapping out key areas of conservation in Xizang plateau.
Based on our field works in the Qinghai-Tibet Plateau (QTP) from 2008 to 2018, and combining data from previous studies, we obtained genetic data of all widely distributed amphibian and reptile species in QTP. Meanwhile, our data covered the whole ranges of all the species. To answer the question: ‘How climatic changes influenced animals of QTP?’, we rebuild the demographic history and analyzed how Quaternary climatic changes impacted animals. Then, we identified the locations of refugia. After constructing spatial pattern of genetic diversity, we identified genetic hotspots which needs more conservation effects. These results are important in biodiversity conservation in QTP.
This data set is a database for the application of SWAT Model in the upper reaches of Heihe River and the source area of the Yellow River, mainly including soil and vegetation, and DEM. There are many parameters involved in soil and vegetation, including conventional soil physical and chemical parameters, vegetation parameters and biomass parameters. The determination method of parameter value includes sampling measurement, literature and other related databases, as well as calculation through related software. As the soil and vegetation database of SWAT model involves comprehensive parameters, most of them can also be used as reference for other ecological and hydrological models driving data besides SWAT model.
This dataset comprises fossil specimens of Cenozoic mammal collected from Tibetan Plateau and surrounding area, such as Suerkal Basin in A-erh-chin Mountains, Tabenbuluk in Gansu Province, during 2018-04-01 to 2018-10-01. Most of the specimens were collected in surface of section, part were excavated from shallow strata. All of the specimens were sent to Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, cleaned by technician and photographed with digital camera. The specimens are well-preserved and can be easily observed on important characters of the individuals they belong to. The specimens of this data set are all new ones unstudied, and very important for research on mammalian evolution and reconstruction of paleoecology and paleoenvironment in Tibetan Plateau and surrounding area.
Based on field surveys in the Tibetan Plateau and the Arid Central Asia from 2007 to 2018, along with strengthened cooperation with domestic and foreign colleagues, the species diversity and distribution database of toad-headed agamas (Phrynocephalus) and racerunner lizards (Eremias) in the Tibetan Plateau and adjacent Alashan Desert was built. The toad-headed agamas and racerunners are excellent representative genera/species to serve as indicators for climate change in Asian interior arid zone. In order to understand how climate change and geological events infulence the diversfication of species, and how, in turn, lizards adapt to ecological changes, the richness of species and related distributional data were collected. The species diversity and distribution patterns may be analysed based on this dataset. This dataset can be used to evaluate the species diversity and to provide a cornerstone for biodiversity conservation.
Based on "Chinese Animals" (Animalia- Chordata-Reptilia-Lacertilia), "Tibetan Amphibians and Reptiles", Chinese and English literature published between 2000 and 2018, and field surgery in Tibetan Plateau from 2018 to 2019, the species composition and distribution of the lizard species in this area are recorded. The lizards widely distributed in the altitude gradients of the Qinghai-Tibet Plateau are studied. This study focus on the effects of climate change on biodiversity and the response of ectotherms to environmental change, and aims at obtaining data of the number and distribution of species. The species were identified according to the "Chinese Animals" ( Animalia-Chordata- Reptilia-Lacertilia). The species diversity and distribution pattern were analyzed according to the elevation, latitude and longitude, etc. to provide a theoretical basis for assessing the biodiversity pattern and formulating the conservation strategy.
The VEGETATION sensor sponsored by the European Commission was launched by SPOT-4 in March 1998. Since April 1998, SPOTVGT data for global vegetation coverage observation has been received by Kiruna ground station in Sweden. The image quality monitoring center in Toulouse, France is responsible for image quality and provides relevant parameters (such as calibration coefficient number). Finally, the Belgian flemish institute for technological research (Vito)VEGETATION processing Centre (CTIV) is responsible for preprocessing into global data of 1km per day. Pretreatment includes atmospheric correction, radiation correction, geometric correction, production of 10 days to maximize the synthesized NDVI data, setting the value of -1 to -0.1 to -0.1, and then converting to the DN value of 0-250 through the formula DN= (NDVI+0.1)/0.004. The dataset is a long-time series vegetation index dataset of Qinghai Lake Basin, which is mainly aimed at normalized difference vegetation index (NDVI). It includes spectral reflectance of four bands synthesized every 10 days from 1998 to 2008 and maximum NDVI for 10 days, with a spatial resolution of 1km and a temporal resolution of 10 days.
GIMMS (glaobal inventory modelling and mapping studies) NDVI data is the latest global vegetation index change data released by NASA C-J-Tucker and others in November 2003. This dataset is a long-term GIMMS vegetation index dataset of the Qinghai Lake Basin, which includes changes in the vegetation index from 1981 to 2006. The time resolution is 15 days and the spatial resolution is 8 km. GIMMS NDVI data recorded the changes of vegetation in 22a area in the format of satellite data.
The data set contains the observation data of thermal diffusion fluid flow meters at the downstream mixed forest station and eupoplar forest station of the hydrometeorological observation network from January 1 to December 31, 2014. La shan au in the study area is located in the Inner Mongolia autonomous region of mesozoic-cenozoic in iminqak, according to the different height and diameter at breast height of iminqak, choose sampling tree installation TDP (Thermal Dissipation SAP flow velocity Probe, Thermal diffusion flow meter), domestic TDP pin type Thermal diffusion stem flow meter, the model for TDP30.The sample sites are TDP1 point and TDP2 point respectively, which are located near the mixed forest station and populus populus station.The height of the sample tree is TDP2 and TDP1 from high to low, and the diameter of the chest is TDP1 and TDP2 from large to small, so as to measure the trunk fluid flow on behalf of the whole area.The installation height of the probe is 1.3 meters and the installation orientation is due east and west of the sample tree. The original observation data of TDP is the temperature difference between probes, which is collected once for 10s and the average output period is 10 minutes.The published data are calculated and processed trunk flow data, including flow rate (cm/h), flux (cm3/h) and daily transpiration (mm/d) per 10 minutes.Firstly, the liquid flow rate and liquid flux were calculated according to the temperature difference between the probes, and then the transpiration Q per unit area of the forest zone was calculated according to the area of Euphrates poplar forest and the distance between trees at the observation points.At the same time, post-processing was carried out on the calculated rate and flux value :(1) data that obviously exceeded the physical significance or the instrument range were removed;(2) the missing data is marked with -6999;Among them, the data of TDP2 was missing due to power supply problems from 1.1-2.8 days, and the data of the third group of probes was missing from 2.8-3.13 days due to the problems of the third group of probes.(3) suspicious data caused by probe fault or other reasons shall be identified in red, and the data confirmed to have problems shall be removed. Please refer to Li et al.(2013) for hydrometeorological network or site information, and Qiao et al.(2015) for observation data processing.
The vegetation regulation mechanism project of soil water cycle in arid desert areas belongs to the national natural science foundation "environment and ecological science in western China" major research plan, led by li xinrong, a researcher of the institute of environment and engineering in dry and cold areas, Chinese academy of sciences, with the running time of 2003.1-2005.12. Remittance data of the project: 1. Dataset of observation field of shapotou railway vegetation sand fixation protection system (excel) Plant and soil information in the vegetation-sand fixation zone established in 1956, 1964, 1981 and 1987.Since the establishment of the observation field, long-term soil moisture and vegetation surveys have been conducted. This database records the soil moisture data after the neutron tube installation in August 2002, the vegetation data from 2003 to 2005 (vegetation structure, herb structure, shrub structure, etc.), and the soil physical and chemical properties data (particle size, total N,P2O5,K2O, hydrolyzed N) of the irregular surveys. 2. Physiological data set of desert plant stress (excel) From 2003 to 2005, the physiological and biochemical characteristics of typical plant communities and their dominant species in steppe desert under natural and simulated environmental conditions were analyzed.(including photosynthetic transpiration, fluorescence, biochemistry and other indicators) 3. Soil infiltration and evapotranspiration data set (excel) Precipitation infiltration process, soil water dynamics and evapotranspiration of fixed sand dunes monitored by desert artificial vegetation using TDR and Lysimeters from 2002 to 2005. 4. Data set of comprehensive survey on soil and vegetation in the southeastern margin of tengger desert (excel) In 2003-2004, silver (sichuan), yan (latour) highway, silver (sichuan) (state) highway through the tengger desert area, set up along the road of eight samples, 449 samples of soil conductivity, Ph, organic matter, total nitrogen (content) and vegetation (plants, coverage, average height, biomass, strains, coverage, high average, biomass).