Junjie Junjie Wu

Mr. Junjie Junjie Wu


Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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10 September 2023 in Land
Verified
Journal Article
Open access
PDF file
LWLingzhi Wang
Lingzhi Wang
ALAnqi Liang
Anqi Liang
LLli,xinyao Li
li,xinyao Li
CJChengge Jiang
Chengge Jiang
JWJunjie Junjie Wu
Junjie Junjie Wu
HOHichem Omrani
Hichem Omrani
Jilin Province is an important commercial grain production base in northeast China, and it has seen significant transition in cultivated land use in recent years. This study constructed a measurement system for the recessive transition of cultivated land use in Jilin Province based on the perspective of “three-function synergy” (productive, living, and ecological functions). It discussed the temporal and spatial evolution characteristics of the recessive transition of cultivated land use from 1990 to 2020, identified the turning point of the cultivated land transition trend, and built a model of recessive transition of cultivated land in Jilin Province. After analyzing the results, we came to the following conclusions: (1) The turning point of the “three-function synergy” of the recessive morphology of cultivated land in Jilin Province occurred earlier than the mutation point of the recessive transition of cultivated land, and there was a certain temporality in the recessive transition of cultivated land compared with the functional change of cultivated land; (2) the degree of recessive transition of cultivated land in Jilin Province showed a spatial distribution characteristic of being higher in the west and lower in the east; (3) the recessive transition of cultivated land use in Jilin Province could be divided into transition stages characterized by “low stage slow rise period”, “middle stage significant increase period”, and “high stage steady growth period”; (4) Jilin Province should adopt differentiated and diversified management of cultivated land to achieve a comprehensive management model that emphasizes quantity, quality, and ecology.

5 July 2024 in Land
Verified
Journal Article
Open access
PDF file
CMChaofan Ma
Chaofan Ma
LWLingzhi Wang
Lingzhi Wang
YCYangfan Chen
Yangfan Chen
JWJunjie Junjie Wu
Junjie Junjie Wu
ALAnqi Liang
Anqi Liang
HOHichem Omrani
Hichem Omrani
Exploring the evolution of the production patterns of major crops and their driving factors can provide new ideas to ensure the security of supply of important agricultural products. This study selected four major crop types in Jilin Province—grain, oil crop, vegetable, and fruit—as research subjects. Using the center of gravity migration model, spatial autocorrelation analysis, and comparative advantage index, the spatial and temporal evolution of these crops’ production patterns from 2000 to 2020 was examined. A geographically weighted regression model was employed to analyze driving factors. The results showed that the planting area of grain was the most extensive; the percentage of production of grain, oil crop, and fruit increased to different degrees; the unit area yield of the four crops increased. The centers of gravity of all four crops’ productions were located in the central-northwestern region of Jilin Province. The global Moran’s I was positive for all four crops’ productions. The comparative advantage characteristics of the four crops were closely related to the natural geographical environment. Grain, vegetable, and fruit production were significantly and positively correlated with fertilizer application, and the most significant factor affecting oil crop production was land input intensity.

30 December 2025 in Journal of Geographical Sciences
Verified
Journal Article
Closed access
PDF file
JWJunjie Junjie Wu
Junjie Junjie Wu
LWLingzhi Wang
Lingzhi Wang
HLHualou Long
Hualou Long
XLXinyao Li
Xinyao Li
WGWenhua Guo
Wenhua Guo
HOHichem Omrani
Hichem Omrani

15 June 2026 in Sustainability
Verified
Journal Article
Open access
PDF file
XLXinyao Li
Xinyao Li
XLXiaodong Liu
Xiaodong Liu
JWJunjie Junjie Wu
Junjie Junjie Wu
Enhancing ecological resilience is essential for safeguarding ecological security in high-latitude cold regions under the combined pressures of climate change and intensive human disturbance. Focusing on Heilongjiang Province, China, this study develops a multi-scale analytical framework based on the resistance-adaptability-recovery (RAR) perspective and covering 11 indicators to reveal the spatial differentiation, internal coordination, and dominant constraints of ecological resilience (ER). Quantifications were conducted using 2024 multi-source spatial data at a 1 km × 1 km grid scale, with results aggregated to 120 counties at the county scale and further identified by applying Global Moran’s I, hot spot analysis, the coupling coordination degree model, and the obstacle degree model. The results reveal spatial heterogeneity in ER and its components. Resistance is generally weak, adaptability is strong, and recovery is polarized. ER components exhibit positive spatial autocorrelation. Medium coordination predominates (47.5% of counties), followed by low coordination (33.33%) and high coordination (19.17%). Low-coordination is constrained by weak resistance and recovery. Identifying soil conservation and habitat quality as primary constraints, which jointly constrain 88.4% of counties. These findings provide a mechanism-oriented basis for differentiated ecological governance in cold-region ecological security barriers.