Jinshi Jian

　　 　　

Jinshi Jian

PhD, Northwest A&F University, Soil Science

26 Xinong Road, Yangling, 712100, China

Tel: 18202901951, Email: jinshi@nwafu.edu.cn

Research Area: Global climate change, Carbon cycling, Soil health, Soil erosion, data integration, Meta-analysis

Work experience

2021/02-now: Professor, Northwest A&F University. Research area: Soil erosion and carbon cycling.

2019/02-2021/01: Post Doc, Pacific Northwest National Lab (PNNL). Research area: Data integration, Soil organic carbon decomposition and protection, Soil respiration.

2017/12-2019/02: Post doc, Virginia Tech, Crop and Soil Environmental Sciences. Research focus: Soil health, cover crop, urban hydrology.

2013/5-2014/7: Ames IT & Numeric Solution, Ames, IA, USA.

Responsibility: SQL developer, data cleaning, data integration, data mining, report generating.

2011/7-2012/11: Assistant engineer, Changde Hydro and Power Design Institute.

Major responsibility: Soil and water conservation plan, Small watershed management.

Education

2014-2017: PhD, Virginia Tech, Crop and Soil Environmental Sciences. Research focus: Carbon dynamic, soil respiration, modeling, scaling, data integration.

2008-2011: Master, Northwest A&F University, Yangling, Shaanxi, China. Research focus: Soil erosion modeling, River sediment transportation.

2004-2008: Bachelor, Southwest Forestry University, Kunming, China. Major: Soil and water conservation.

Research area and publications

Soil carbon and soil respiration：Updating a global soil respiration database (SRDB). Based on SRDB, designed and integrated a monthly global soil respiration database (MGRsD), which includes soil respiration data and more than 40 other auxiliary factors. Based on MGRsD, we analyzed heterogeneity in the relationship between soil respiration and environmental factors in different climates and biomes.

[1] Jinshi Jian* et al. Historically inconsistent productivity and respiration fluxes in the global terrestrial carbon cycle. Nature Communications (2022): 1733.

[2] Jinshi Jian*, M. Steele, R. Thomas, S. Day, and S. Hodges. Constraining estimates of global soil respiration by quantifying sources of variability. Global Change Biology (2018): 4143-4159, https://doi.org/10.1111/gcb.14301.

[3] Jinshi Jian*, M. Steele., S. Day, R. Thomas, and S. Hodges. Measurement strategies to account for soil respiration temporal heterogeneity across diverse regions. Soil Biology and Biochemistry, 125 (2018): 167-177.

[4] Jinshi Jian*, M. Steele. Future Global Soil Respiration Rates Will Swell Despite Regional Decreases in Temperature Sensitivity Caused by Rising Temperature. Earth’s Future (2018): 1539-1554.

[5] Jinshi Jian*, Micheal Bahn, et al. Prediction of annual soil respiration from its flux at mean annual temperature. Agricultural and Forest Meteorology (2020): 107961.

[6] Jinshi Jian*, Rodrigo Vargas, Kristina Anderson-Teixeira, Emma Stell, Valentine Herrmann, Mercedes Horn, Nazar Kholod, …, Ben Bond-Lamberty*. A restructured and updated global soil respiration database (SRDB-V5). Earth System Science Data (2021): 225-267.

[7] Ben Bond-Lamberty, Stephanie Pennington, Jinshi Jian, Patrick Megonigal, Aditi Sengupta, and Nicholas Ward. Soil respiration variability and correlation across a wide range of temporal scales. Journal of Geographic Research-Biogeosciences (2019):3672-3683.

[8] D. Warner, B. Bond-Lamberty, Jinshi Jian, E. Stell, R. Vargas. Spatial predictions and associated uncertainty of annual soil respiration at the global scale. Global Biogeochemical Cycles (2019): 1733-1745.

[9] Jinshi Jian*, Xuefeng Yuan, Meredith Steele, Can Du. Soil respiration spatial and temporal variability in China between 1961 and 2014. European Journal of Soil Science (2020): 739-755.

[10] Jinshi Jian* et al. Collar properties and measurement time confer minimal bias on annual soil respiration estimates. Journal of Geophysical Research-Biogeosciences (2020): e2020JG006066.

[11] Jinshi Jian* et al. Evaluating soil heterotrophic respiration simulated by microbially-explicit global models. Global Change Biology (2022): 5392-5403.

[12] Jinshi Jian*, Max Frissell, Dalei Hao, Xiaolu Tang, Erin Berryman, and Ben Bond-Lamberty. The global contribution of roots to total soil respiration. Global Ecology and Biogeography (2022): 685-699.

Soil Health：To examine past and current practices for determining soil health, we collected historical publications on cover crop and no-till, digitize the data from the publications, and integrated those data into a soil health database (SoilHealthDB, including 38 background indicators and 42 response indicators). These efforts will provide the ability to generate new insight into soil health across climates and systems, and will ensure that soil health measurements and data are ultimately of use to farmers, planners, and regulators as they make management decisions. Based on the SoilHealthDB, I conducted a meta-analysis to explore interactions between cover crops, soils, and carbon. Our results showed that cover cropping caused a 9% increase in soil carbon (95% confidence interval of 4% to 15%), indicating that the inclusion of cover crops into agricultural rotations can enhance soil carbon levels while potential increasing agroecosystem resilience. Our next goal is to integrate more publication into the SoilHealthDB, and meta-analysis will be conducted to analyze interactions between cover crops (or no-till) and other soil health indicators (e.g., soil nitrogen, leaching, and microbial activity). I also participated in soil sampling and data collection from four long-term agricultural sites for soil health indicators in Virginia.

[13] Ryan Stewart, Jinshi Jian, et al. What we talk about when we talk about soil health. Agricultural & Environmental Letters (2018): 180033.

[14] Jinshi Jian, Xuan Du, Ryan Stewart. A database for global soil health assessment. Scientific data, (2020):1-8.

[15] Jinshi Jian, Brandon Lester, Xuan Du, Ryan Stewart*. A calculator to quantify cover crop effects on soil health and productivity. Soil & Tillage Research (2020):104575.

[16] Jinshi Jian, Xuan Du, Mark Reiter, Ryan Stewart*. A meta-analysis of global cropland soil carbon changes due to cover cropping. Soil Biology & Biogeochemistry (2020): 107735.

[17] Jinshi Jian, Xuan Du, Ryan Stewart*. Quantifying cover crop effects on soil health and productivity. Data in Brief (2020): 105376.

Urban soil hydrology:In this project, based on the National Cooperative Soil Survey (NCSS) Soil Characterization Database, Monte Carlo Method was applied to fit the soil water content curve under different pressure head, and to predict parameters for Van-Genuchten function. Artificial neural network (ANN) models were built to predict soil hydraulic parameters (Ksat and soil water retention curve) based on soil texture (sand%, silt%, and clay%), soil bulk density, and soil water content under 1/3 and 15 bar. I then applied the ANN models to predict ksat and soil water content curve for more than hundreds urban soil profiles vs. reference soil profiles across 14 cities in USA. I then used Hydrus to simulate water movement from 1989 to 2017 (hourly time scale) for all those soil profiles. By comparing soil water movement in urban vs. reference soil profiles, our plan is to explore how water hydrology in urban soils differ from that in soils before urbanization (reference soils).

[18] Jinshi Jian, Alexey Shiklomanov, William D. Shuster & Ryan Stewart. Predicting near-saturated hydraulic conductivity in urban soils. Journal of Hydrology, (2021): 126051.

[19] Ryan Stewart, Aditi Bhaskar, A. Parolari, D. Herrmann, Jinshi Jian, L. Schifman, & W. Shuster. An analytical approach to ascertain saturation-excess versus infiltration-excess overland flow in urban and reference landscapes. Hydrological Processes (2019): 3349-3363.

[20] Brian Badgley, M. Steele, Jinshi Jian, et al. Fecal indicator dynamics at the watershed scale: Variable relationships with land use, season, and water chemistry. Science of the Total Environment (2019): 134113.

Soil erosion：Search publication related with “soil erosion” between 1960 and 2020,designed a global soil erosion database,integrate data from those “soil erosion” publication into this soil erosion database。This database include 3 erosion related indicators (surface runoff,soil erosion and leaching) and 60 background information (e.g., location, climate, soil information). Based on this database, analyzed the relationship between soil erosion and environmental conditions, analyzed whether conservation management contribute to runoff and soil erosion control.

[21] Jinshi Jian, et al. AWESOME: Archive for Water Erosion and Sediment Outflow MEasurements. Earth System Science Data (preprint).

[22] Xuan Du, Jinshi Jian*, Can Du, Ryan Stewart. Conservation management decreases surface runoff and soil erosion. International Soil and Water Conservation Research (2022): 188-196.