1. 十四五重点研发计划项目，森林立地质量评价与全周期多功能经营关键技术（2022-2027）

2. 国家自然科学基金面上项目，基于生态系统多功能性的人工林立地质量评价基础研究（2024-2027）

3. WWF国际合作项目，华北地区支持森林经营提升生物多样性示范（2023-2025）

4. 中国林科院基本科研业务费项目，红松人工林和天然话叶林抚育间伐质量精准提升样板示范区建设（2024-2026）

5. 河北重大科技支撑计划项目，基于野生动物多样性提升的塞罕坝人工林经营技术研究（2024-2027）

6. 国家标准项目，退化林修复技术规程（2022）

7. 国家自然科学基金面上项目，基于机器学习的针阔混交林单木生长模型研究 (2019-2022)

8. 林业行业公益性科研项目，我国主要林区林地立地质量与生产力评价研究 (2015-2018)

9. 国家自然科学基金面上项目，气候敏感的林分生长收获模型研究 (2013-2016)

10. 国家自然科学基金面上项目，单木结构-功能模型的研究 (2009-2011)

代表性文章：

[1] Du X, Lei X*, He X, et al. Ecosystem service multifunctionality of mixed conifer-broad-leaved forests under climate change and forest management based on matrix growth modelling. Forest Ecosystems, 2024, 11: 100231.
[2] Gao W, ...Lei X*. Development stage‐dependent effects of biodiversity on aboveground biomass of temperate forests. Ecography, 2024: e07414.
[3] He X, Lei, X*, Liu D, Lei Y. Developing machine learning models with multiple environmental data to predict stand biomass in natural coniferous-broad leaved mixed forests in Jilin Province of China. Computers and Electronics in Agriculture, 2023, 212, 108162.
[4] Lan J, Lei X*, He X, et al. Multiple mechanisms drive biodiversity-ecosystem service multifunctionality but the dominant one depends on the level of multifunctionality for natural forests in northeast China. Forest Ecology and Management, 2023, 542: 121101.
[5] Qin Y, Wu B, Lei X*, et al. Prediction of tree crown width in natural mixed forests using deep learning algorithm. Forest Ecosystems, 2023, 10: 100109.
[6] Qin Y, He X, Lei X*, Feng L, Zhou Z, Lu J. Tree size inequality and competition effects on nonlinear mixed effects crown width model for natural spruce-fir-broadleaf mixed forest in northeast China. Forest Ecology and Management, 2022, 518: 120291.
[7] Liu D, Lei X*, Gao W, et al. Mapping the potential distribution suitability of 16 tree species under climate change in northeastern China using Maxent modelling. Journal of Forestry Research, 2022, 33:1739-1750.
[8] Zhou M, Lei X*, Lu J, Gao W, Zhang H. Comparisons of competitor selection approaches for spatially explicit competition indices of natural spruce-fir-broadleaf mixed forests. European Journal of Forest Research, 2022, 141:177-211.
[9] Xu Q, Lei X*, Zhang H. A novel method for approaching the compatibility of tree biomass estimation by multi-task neural networks. Forest Ecology and Management, 2022, 508: 120011.
[10] He X, Lei X D*, Dong L H. 2021. How large is the difference in large-scale forest biomass estimations based on new climate-modified stand biomass models?. Ecological Indicators, 126: 107569.
[11] Xie Y, Lei X D*, Shi J. 2020. Impacts of climate change on biological rotation of Larix olgensis plantations for timber production and carbon storage in northeast China using the 3-PGmix model. Ecological Modelling, 435: 109267.
[12] Zhou M, Lei X D*, Duan G, Lu J, Zhang H. 2019. The effect of the calculation method, plot size, and stand density on the top height estimation in natural spruce-fir-broadleaf mixed forests. Forest Ecology and Management, 453, 117574.
[13] Gao W Q, Lei X D*, Fu L Y. 2019. Impacts of climate change on the potential forest productivity based on a climate-driven biophysical model in northeastern China. Journal of Forestry Research. 31:2273-2286.
[14] Lei X D*, Liyu, Lingxia Hong. 2016. Climate-sensitive integrated stand growth model (CS-ISGM) of Changbai larch (Larix olgensis) plantations. Forest Ecology and Management. 376:265-275.
[15] Lei X D, Wang W F, Peng C H*. Relationships between stand growth and structural diversity in spruce-dominated forests in New Brunswick, Canada. Canadian Journal of Forest Research. 2009, 35(10):1835-1847.
[16] Lei X D, Lu Y C, Peng C H, et al. Development of growth and structure of semi-natural larch-spruce-fir forests in Northeast China：12 years results after thinning. Forest Ecology and Management.  2007, 240:165-177.
[17] 雷相东. 森林生态系统服务多功能性: 概念, 指标和经营模拟模型. 北京林业大学学报, 2024, 46(5): 1-11.
[18] 解雅麟,雷相东*,曾伟生. 基于3-PG_mix过程模型的落叶松人工林生长过程表编制. 林业科学, 2023, 59(12): 87-104.

[19] 雷相东. 机器学习算法在森林生长收获预估中的应用. 北京林业大学学报，2019, 41(12):23-36.

[20] 雷相东; 符利勇; 李海奎; 李玉堂; 唐守正 ; 基于林分潜在生长量的立地质量评价方法与应用, 林业 科学, 2018, 54(12): 116-126.

获奖：

雷相东；森林健康经营关键技术，梁希林业科技进步二等奖，2020(2/10)

雷相东；人工林多功能经营技术体系，梁希林业科技进步二等奖，2016(3/10)

雷相东；东北天然林生长模型系与多目标经营规划技术，梁希林业科技进步二等奖，2013(2/10)

著作：

[1] 雷相东; 唐守正; 符利勇; 李海奎 ; 森林立地质量定量评价：理论 方法 应用, 2020. 北京：中国林业出版社.

[2] 雷相东，臧颢. 区域层次气候敏感的落叶松人工林生长收获模型及R语言应用. 2020. 北京：科学出版社.

[3] 张会儒，雷相东编著. 典型森林类型健康经营技术研究. 2014. 北京：中国林业出版社.

[4] 陆元昌，曾伟生，雷相东. 森林资源与湿地综合监测指标与技术体系. 2011. 北京：中国林业出版社.

[5] Lei X D, Tang M P, Hong L X, Lu Y C. National Forest Inventories Reports chapter 5: China. In Tomppo E, Gschwantner Th, Lawrence M, McRoberts R E (Eds.) National Forest Inventories-Pathways for Common Reporting. 2010. Springer Netherlands: 612 pp.

专利：

其它：

雷相东，唐守正，符利勇等. 森林立地质量评价技术规程. 2022. 北京：中国标准出版社.