2010 – Research Scientist/Professor, Institute of Applied Ecology, CAS
2008 - 2010 Postdoctoral Research Scientist, University of Nevada
2006 - 2008 Postdoctoral Fellow, University of Missouri
2005 Ph.D., Forestry, University of Missouri-Columbia, USA
2000 M.S., Ecology, Institute of Botany, Chinese Academy of Sciences, China
1997 B.S., Geography, Shannxi Normal University, China
2013 Excellent Young Scientist Award. National Science Foundation of China (NSFC). RMB 1,000,000. (PI)
2013. Influence of wildfire on understory vegetation’s structure, function, and dynamics in a Chinese boreal forest. National Science Foundation of China (NSFC). RMB 840,000. (PI)
2011. Responses of fire disturbance and forest NPP to climate change in Great Xing’an Mountains. National Science Foundation of China (NSFC). RMB 400,000. (PI)
2010. Hundred Talent Award, Chinese Academy of Sciences. RMB 2,700,000. (PI)
2010 Robert M. Scheller, Jian Yang, Peter J. Weisberg, Alison Stanton, Carl N. Skinner. Management options for reducing wildfire risk and maximizing carbon storage under future climate changes, ignition patterns, and forest treatments. Southern Nevada Public Land Management Act (SNPLMA) $309,140. (Co-PI)
2009 Susan Earnst, Douglas Shinneman, Peter Weisberg, Jian Yang. Quantifying vulnerability of quaking aspen woodlands and associated bird communities to global climate change in the northern Great Basin. National Climate Change and Wildlife Science Center (NCCWSC), USGS. $857,652. (Co-PI)
2007 Hong He and Jian Yang. “Making R&D Fire and Fuel Simulation Technology Accessible to Regional National Forests”.US Forest Service. $44,400. (Co-PI)
PUBLICATIONS AND SCHOLARLY WORK
32. Zhang, Y., Yu, G., Yang, J., Wimberly, M. C., Zhang, X., Tao, J., ... & Zhu, J. (2013). Climate‐driven global changes in carbon use efficiency. Global Ecology and Biogeography.
31. Loudermilk, E. L., Scheller, R. M., Weisberg, P. J., Yang, J., Dilts, T. E., Karam, S. L., & Skinner, C. (2013). Carbon Dynamics in the Future Forest: The Importance of Long‐Term Successional Legacy and Climate‐Fire Interactions. Global Change Biology.
30. Cai, W., Yang, J.*, Liu, Z., Hu, Y., Weisberg, P.J. 2013. Post-fire tree recruitment of a boreal larch forest in Northeast China. Forest Ecology and Management. DOI: 10.1016/j.foreco.2013.06.056
29. Liu, Z., Yang, J.*, He, H. 2013. Identifying the threshold of dominant controls on fire spread in a boreal forest landscape of Northeast China. PLoS ONE 8(1):e55618. DOI:10.1371/journal.pone.0055618
28. Hanberry B.B., Yang, J., He, H. 2013. Evaluating functions to describe point patterns. Community Ecology 14(1): 1-7, DOI: 10.1556/ComEc.14.2013.1.1
27.Yang, J., Kong, J-J., Liu, B. 2013. A review of effects of fire disturbance on understory vegetation in boreal coniferous forest. Chinese Journal of Plant Ecology 37 (5): 474-480. (In Chinese with English abstract).
26. Liu, Z., Yang, J., He, H. 2012. Studying the effects of fuel treatment based on burn probability on a boreal forest landscape. Journal of Environmental Management 115:42-52.
25. Liang, Y., He, H.S., Yang, J., Wu, Z.W. 2012. Coupling ecosystem and landscape models to study the effects of plot number and location on prediction of forest landscape change. Landscape Ecology 27: 1031-1044.
24. Liu, Z., Yang, J.*, Chang, Y., Weisberg, P.J., He, H.S. 2012. Spatial patterns and drivers of fire occurrence and its future trend under climate change in a boreal forest of Northeast China. Global Change Biology 18: 2041-2056.
23. Yang, J., Weisberg, P.J., Bristow, N. 2012. Landsat remote sensing approaches for monitoring long-term tree cover dynamics in semi-arid woodlands: comparison of vegetation indices and spectral mixture analysis. Remote Sensing of Environment 119: 62-71.
22. Cai, W-H., Yang, J.*, Liu, Z-H., Hu, Y-M., Liu, S-J., Jing, G-Z., Zhao, Z-F. 2012. Controls of post-fire tree recruitment in Great Xing’an Mountains in Heilongjiang Province. Acta Ecologica Sinica 32(11): 3303-3312. (In Chinese with English abstract).
21. Hanberry, B.B., Yang, J., Kabrick, J.M., He, H.S. 2012. Adjusting forest density estimates for surveyor bias in historical tree surveys. The American Midland Naturalist 167(2): 285-306.
20. Liu, Z., He, H.S., Yang, J. 2012. Emulating natural fire effects using harvesting in an eastern boreal forest landscape of Northeast China. Journal of Vegetation Science 23: 782-795.
19. Dilts, T.E., Weisberg, P.J., Yang, J., Olson, T.J., Turner, P.L., and Condon, L.A. 2012. Using historical general land office survey notes to quantify the effects of irrigated agriculture on land cover change in an arid lands watershed. Annals of the Association of American Geographers 102(3): 531-548.
18. Yang, J., He, H.S., Shifley, S.S., Thompson, F.R., Zhang, Y. 2011. An innovative computer design for modeling forest landscape change in very large spatial extents with fine resolutions. Ecological Modelling 222 (15): 2623-2630.
17.Yang, J., Dilts, T.E., Turner, P.L., Condon, L.A, and Weisberg, P.J. 2011. Longitudinal- and transverse-scale environmental influences on riparian vegetation across multiple levels of ecological organization. Landscape Ecology 26: 381-395.
16. Zhao, F., Yang, J.*, Liu, Z., Dai, L., He, H.S. 2011. Balancing multiple objectives of a classification-based forest management in Changbai Mountains, China. Environmental Management 48(6):1136-1147.
15. He, H.S., Yang, J., Shifley S.R., Thompson F.R., 2011. Challenges of forest landscape modeling-Simulating large landscapes and validating results. Landscape and Urban Planning 100 (4): 400-402.
14. Zhang, Y., He, H.S., Shifley, S.R., Yang, J., Palik, B.J. 2011. Evaluating the effects of alternative forest management plans under various physiographic settings using historical records as a reference. Journal of Environmental Management 92 (6): 1618-1627.
13. Hanberry, B.B., Fraver, S., He, H. S., Yang, J., Dey, D.C., Palik, B.J. 2011. Spatial pattern corrections and sample sizes for forest density estimates in historical tree surveys. Landscape Ecology 26: 59-68.
12. Dilts, T.E., Yang, J., Weisberg, P. J. 2010. The Landscape Similarity Toolbox: new tools for optimizing the location of control sites in experimental studies. Ecography 33: 1097-1101.
11. Wang YQ, Zhou Y, Yang J, He HS, Zhu Z, Ohlen D. 2009. Simulation of short-term post-fire vegetation recovery by integration of LANDFIRE data products, DNBR data and LANDIS modeling. Annals of GIS 15:47-59.
10. Zhang Y., He, H. S. , Dijak, W. D., Yang, J., Shifley, S. R., Palik, B. J. 2009. Integration of satellite imagery and forest inventory in mapping dominant and associated species at a regional scale. Environmental Management 44:312-323.
9. Miranda B. R., Sturtevant, B. R., Yang, J., Gustafson, E.J. 2009. Comparing fire spread algorithms using equivalence testing and neutral landscape models. Landscape Ecology 24:587-598.
8. Sturtevant B. R., Miranda, B.R., Yang, J., He, H.S., Gustafson, E.J. 2009. Studying fire mitigation strategies in multi-ownership landscapes: balancing the management of fire-dependent ecosystems and fire risk. Ecosystems 12: 445-461.
7. Yang, J., H. S. He, and S. R. Shifley,2008. Spatial controls of occurrence and spread of wildfires in the Missouri Ozark Highlands. Ecological Applications 18(5): 1212-1225.
6. Yang, J., H. S. He, B. R. Sturtevant, B. R. Miranda, and E. J. Gustafson. 2008.Comparing effects of fire modeling methods on simulated fire patterns and succession: a case study in the Missouri Ozarks.Canadian Journal of Forest Research 38:1290-1302.
5. Zhang Y, He, H. S., Yang, J. 2008. The wildland-urban interface dynamics in the southeastern U.S. from 1990 to 2000. Landscape and Urban Planning 85:155-162.
4. Yang, J., He, H.S., Shifley, S.R., Gustafson, E.J. 2007. Spatial patterns of modern period human-caused fire occurrence in the Missouri Ozark Highlands. Forest Science 53:1-15.
3. Syphard, A. D., Yang, J.,Franklin, J., He, H. S., Keeley, J. E. 2007. Calibrating forest Landscape model to simulate high fire frequency in Mediterranean-type shrublands. Environmental Modelling & Software 22:1641-1653.
2. Yang, J., He, H.S., Gustafson, E.J. 2004. A hierarchical fire frequency model to simulate temporal patterns of fire regimes in LANDIS. Ecological Modelling 180:119-133.
1. Yang, J., Chi, H., Mo. M. 2002. Vegetation classification of multispectral remotely sensed data using neural network. Chinese Journal of Plant Ecology 26: 185-188. (In Chinese with English abstract)
He, H. S., W. Li, B. R. Sturtevant, J. Yang, B. Z. Shang, E. J. Gustafson, and D. J. Mladenoff. 2005. LANDIS, a spatially explicit model of forest landscape disturbance, management, and succession —LANDIS 4.0 User’s Guide. Gen. Tech. Rep. USDA Forest Service, North Central Research Station NC-263.
Shifley, S.R., Yang, J., He, H.S. 2009. Modeling fire and other disturbance processes using LANDIS. In: Hutchinson, Todd F., ed. Proceedings of the 3rd fire in eastern oak forests conference; 2008 May 20-22; Carbondale, IL. Gen. Tech. Rep. NRS-P-46. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station: 107-115.
Memberships or Activities in Professional Associations
Association of American Geographers
International Association for Landscape Ecology
Review/Referee Grants and Publications
Landscape Urban and Planning, Landscape Ecology, Canadian Journal of Forest Research, International Journal of Wildland Fire, Forest Ecology and Management, Ecology, Ecological Applications, Environmental and Ecological Statistics, Environmental Management, International Journal of GIS