朱利凯

朱利凯，博士，华东师范大学紫江青年学者，研究员。2014年博士毕业于美国佛罗里达大学地理系，之后在美国威斯康星大学麦迪逊分校SILVIS实验室（http://silvis.forest.wisc.edu/）从事博士后研究工作。主要从事生态遥感、土地遥感、冰冻圈遥感、冰冻圈变化的生态效应、遥感大数据时空统计学等方面的研究工作。目前主持国家自然科学基金青年项目、省级自然科学基金等4项，参与多项美国NASA和美国国家科学基金（NSF）资助的重大项目。发表SCI论文40篇，其中以第一/通讯作者在Nature Climate Change、Remote Sensing of Environment等期刊发表21篇。主要的学术贡献包括：（1）提出了冬季生境指数（Winter Habitat Indices）并融合多源遥感数据生成了全球遥感数据产品 （http://silvis.forest.wisc.edu/data/global_freeze/）；（2）发现了全球变暖将减弱积雪对生物的保护效应，导致雪下生境（Subnivium）的退化，加剧中纬度地区低温胁迫；（3）理清了冬季环境条件对大尺度物种多样性格局的影响；（4）合作开发了PARTS（Partitioned Autoregressive Time Series）遥感时空大数据统计方法，用于空间变化格局的识别和统计检验。

生态遥感

土地遥感

土地变化科学

遥感大数据时空统计学

冰冻圈遥感

冰冻圈变化的生态效应

本科生课程：冰冻圈遥感 （36学时）

研究生课程：Python与开源GIS（36学时）

基于多源遥感数据的冰冻圈要素特征对中国植被春季物候影响研究. 国家自然科学基金青年项目（项目号：42001373），执行年月：2021.1–2023.12，主持

城市景观格局及热岛效应对植被物候动态的影响机制—基于遥感数据时空融合的研究. 山东省自然科学基金（项目号：ZR2019BD040），执行年月：2019.6–2022.6，主持

Valid time-series analyses of satellite data to obtain statistical inference about spatiotemporal trends at global scales . NASA Advanced Information Systems Technology (AIST) program (grant no. 80NSSC20K0282), 2020-2022, 参与

The role of taxonomic, functional, genetic, and landscape diversity in food web responses to a changing environment . USA National Science Foundation, Dimensions of Biodiversity (grant no. 1240804). 2012-2018, 参与

ResearchGate: https://www.researchgate.net/profile/Likai-Zhu/research

Google Scholar: https://scholar.google.com/citations?hl=en&user=B8UnCHMAAAAJ

[40] Zou Y, Meng J*, Zhu L*, Han Z, Ma Y (2024) Characterizing land use transition in China by accounting for the conflicts underlying land use structure and function, Journal of Environmental Management, 349:119311

[39] Meng J, Han Z*, Zhu L*, Zhu L, Dai X (2023) Untangling the coupling relationships between socio-economy and eco-environment in arid inland river basin. Environment Development and Sustainability, https://doi.org/10.1007/s10668-023-03439-y

[38]  Razenkova E, Dubinin M, Pidgeon AM, Hobi M, Zhu L, Bragina EV, Allen AM, Clayton MK, Baskin LM, Coops NC, Radeloff VC (2023) Abundance patterns of mammals across Russia explained by remotely sensed vegetation productivity and snow indices. Journal of Biogeography, 50:932-946.

[37] Wei C, Meng J*, Zhu L*, Han Z (2023) Assessing progress towards sustainable development goals for Chinese urban land use: A new cloud model approach, Journal of Environmental Management, 326, 116826. 

[36] Wu Y, Han Z, Meng J, Zhu L (2022) Circuit theory‑based ecological security pattern could promote ecological protection in the Heihe River Basin of China, Environmental Science and Pollution Research, https://doi.org/10.1007/s11356-022-24005-5

[35] Zhu L*, Guo Y (2022) Remotely Sensed Winter Habitat Indices Improve the Explanation of Broad-Scale Patterns of Mammal and Bird Species Richness in China, Remote Sensing, 14: 794. (Zhu_etal_2022_RS.pdf)

[34] Gudex-Cross D, Zhu L, Keyser SR, Zuckerberg B, Pauli JN, Radeloff VC (2022) Winter conditions structure extratropical patterns of species richness of amphibians, birds, and mammals globally, Global Ecology and Biogeography, 31:1366-1380 (Gudex‐Cross_2022_GEB.pdf)

[33] Han Z, Meng J*, Zhu L* (2022) Quantifying trade-offs of land multifunctionality evaluated by set pair analysis in ecologically vulnerable areas of northwestern China: Implications for sustainable land use, Land Degradation & Development, 33:1999-2013

[32] Meng J*, Cheng H, Li F, Han Z, Wei C, Wu Y, You NW, Zhu L* (2022) Spatial-temporal trade-offs of land multi-functionality and function zoning at finer township scale in the middle reaches of the Heihe River, Land Use Policy, 115(8):106019

[31] Ives AR, Zhu L, Wang F, Zhu J, Morrow CJ, & Radeloff AR (2022) Statistical tests for non-independent partitions of large autocorrelated datasets, MethodX, 9:101660

[30] Guo Y, Mao L, Zhu L, Mo D (2022) Environmental Evolution and Human Adaption Recorded From a Salt Production Site at the Coastal Plain of Laizhou Bay, China. Frontiers in Marine Science, 9, 873220.

[29] Ives AR, Zhu L, Wang F, Zhu J, Morrow CJ, & Radeloff AR (2021) Statistical inference for trends in spatial-temporal data, Remote Sensing of Environment, 266: 112678. (Ives_etal_2021_RSE.pdf)

[28] Cheng H, Zhu L, Meng J (2021) Fuzzy evaluation of the ecological security of land resources in China based on the Pressure-State-Response framework. Science of the Total Environment,804: 150053

[27] Jiang S, Meng J*, Zhu L*, Cheng H (2021) Spatial-temporal pattern of land use conflict in China and its multilevel driving mechanisms. Science of The Total Environment. 801, 149697.

[26] Gudex-Cross D, Keyser SR, Zuckerberg B, Fink D, Zhu L, Pauli JN, Radeloff VC. (2021) Winter Habitat Indices (WHIs) for the contiguous US and their relationship with winter bird diversity. Remote Sensing of Environment. 255, 112309. (Gudex-Cross_2021_RSE.pdf)

[25] Zhu L, Guo Y, Zhang C, Meng J, Ju L, Zhang Y, Tang W. (2020) Community-level assessment of livability in urban areas using remote sensing and Internet-based geospatial big data. Remote Sensing, 12, 4026. (Zhu_etal_2020_RS.pdf)

[24] You N, Meng J*, Zhu L, Jiang S, Zhu L*, Li F, Kuo L (2020) Isolating the impacts of land-use/cover change and climate change on GPP in the Heihe River Basin of China. Journal of Geophysical Research-Biogeosciences, 125, e2020JG005734

[23] Zhu L, Meng J*, & Zhu L* (2020) Applying Geodetector to disentangle the contributions of natural and anthropogenic factors to NDVI variations in the middle reaches of the Heihe River Basin. Ecological Indicators. 117, 106545.

[22] Jiang S, Meng J* & Zhu L* (2020) Spatial and temporal analyses of potential land use conflict under the constraints of water resources in the middle reaches of the Heihe River. Land Use Policy. 97, 104773.

[21] Li F, Meng J*, Zhu L* & You N (2020) Spatial pattern and temporal trend of land degradation in the Heihe River Basin of China using local net primary production scaling. Land Degradation & Development, 31:518–530.

[20] Cai A, Wang J, MacLachlan I, Zhu L (2020) Modeling the trade-offs between urban development and ecological process based on landscape multi-functionality and regional ecological networks. Journal of Environmental Planning and Management, 63(13): 2357-2379.

[19] Zhu L*, Ives AR, Zhang C, Guo Y* & Radeloff VC (2019) Climate change causes functionally colder winters for snow cover-dependent organisms, Nature Climate Change, 9: 886-893. (Zhu_etal_2019_NCC.pdf)

[18] Klarenberg G, Muñoz-Carpena R, Perz S, Baraloto C, Marsik M, Southworth J, Zhu L (2019) A spatiotemporal natural-human database to evaluate road development impacts in an Amazon trinational frontier. Scientific Data, 6: 93.

[17] Radeloff VR, Dubinin M, Coops NC, ……, Zhu L & Hobi ML (2019) The dynamic habitat indices (DHIs) from modis and global biodiversity. Remote Sensing of Environment, 222: 204-214. (Radeloff_etal_2019_RSE.pdf)

[16] Zhu L, Meng J, Li F & You N (2019) Predicting the patterns of change in spring onset and false springs in China during the twenty-first century. International Journal of Biometeorology, 63: 591-606.

[15] Southworth J, Bunting E, Zhu L, Ryan SJ, Herrero H, Waylen P, Muñoz-Carpena R, Campo-Bescós MA & Kaplan D (2018) Using a coupled dynamic factor – random forest analysis (DFRFA) to reveal drivers of spatiotemporal heterogeneity in the semi-arid regions of southern Africa. PLOS ONE, 13(12): e0208400

[14] You N, Meng J & Zhu L (2018) Sensitivity and resilience of ecosystems to climate variability in the Heihe River Basin. Ecological Research, 33: 161-174.

[13] Zhu L*, Radeloff VC & Ives AR (2017) Characterizing global patterns of frozen ground with and without snow cover using microwave and MODIS satellite data products. Remote Sensing of Environment, 191, 168–178. (Zhu_etal_2017_RSE.pdf)

[12] Zhu L*, Radeloff VC & Ives AR (2017) Improving the mapping of crop type patterns in the US Midwest by fusing Landsat and MODIS satellite data. International Journal of Applied Earth Observation and Geoinformation,58, 1–11.(Zhu_etal_2017_JAGS.pdf)

[11] Miller CR, Barton BT, Zhu L, Radeloff VC, Oliver KM, Harmon JP & Ives AR (2017) Interactive effects of night warming and light pollution on top-down control of insect pests. Proceedings of the Royal Society B, 284: 20171195

[10] Zhu L*, Southworth J & Meng J (2015) Comparison of the driving forces of spring phenology among savanna landscapes by including combined spatial and temporal heterogeneity. International Journal of Biometeorology, 59, 1373–1384.

[9] Zhu L& Meng J (2015) Determining the relative importance of climatic drivers on spring
 phenology in grassland ecosystems of semi-arid areas. International Journal of Biometeorology, 59, 235–249.

[8] Southworth J, Zhu L, Bunting E, Ryan SJ, Herrero H, Waylen PR & Hill M (2015) Changes in vegetation persistence across global savanna landscapes, 1982-2010. Journal of Land Use Science, DOI: 10.1080/1747423X.2015.1071439.

[7] Meng J, Xiang Y, Yan Q, Mao X & Zhu L (2015) Assessment and management of ecological risk in an agricultural–pastoral ecotone: case study of Ordos, Inner Mongolia, China. Natural Hazards, 79, 195–213.

[6] Zhu L*& Southworth J (2013) Disentangling the relationships between net primary production and precipitation in southern Africa savannas using satellite observations from 1982 to 2010. RemoteSensing, 5, 3803–3825.

[5] Zhu L, Meng J & Mao X (2013) Analyzing land-use change in the farming-pastoral transitional region using autologistic model and household survey. Chinese Geographical Science, 23,716–728.

[4] Campo-Bescos M, Muñoz-Carpena R, Kaplan D, Southworth J, Zhu L& Waylen PR (2013) Beyond precipitation: Physiographic thresholds dictate the relative importance of environmental drivers on savanna vegetation. PLOS ONE, 8, e72348.

[3] Campo-Bescos M, Muñoz-Carpena R, Southworth J, Zhu L, Waylen PR, & Bunting E. (2013) Combined spatial and temporal effects of environmental controls on long-term monthly NDVI in southern Africa savanna. Remote Sensing, 5, 6513–6538.

[2] Southworth J, Rigg L, Gibbes C, Waylen P, Zhu L, McCarragher S & Cassidy L (2013) Integrating dendrochronology, climate and satellite remote sensing to better understand savanna landscape dynamics in the Okavango Delta, Botswana. Land, 2, 637–655.

[1] Zhu L& Meng J (2010) Study on rainfall variations in the middle part of Inner Mongolia, China during the past 43 years. Environmental Earth Sciences, 60, 1661–1671.