Dajie Yu

Mr. Dajie Yu

orcid

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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7 August 2023 in Land
Verified
Journal Article
Open access
PDF file
ZZzuo Zhang
zuo Zhang
LZLin Zheng
Lin Zheng
DYDajie Yu
Dajie Yu
Non-grain production of cultivated land (NGPCL) is an essential factor that affects food security and sustainable agricultural development. Due to the large population and limited land area present in China, cultivated land resources are more extensive and valuable in hilly and mountainous areas, though the expansion of NGPCL threatens food security and is detrimental to the sustainable use of cultivated land resources. To better understand the problem of NGPCL in hilly and mountainous areas, this paper initially classifies NGPCL into four distinct types, namely unplanted cultivated land (UCL), planted non-grain crops (PNGC), engineering recoverable (ENR), and immediately recoverable (IMR), based on their planting types and attributes. Subsequently, we analyzed the spatial patterns and differentiation characteristics of these NGPCL types in Le’an County at the village scale through exploratory spatial data analysis and studied their driving factors using the geographical detector model. The findings show that the NGPCL rate in Le’an County was 18.53%, with ENR occupying the largest area, followed by PNGC and UCL, while IMR had the smallest area. The spatial distribution of NGPCL in Le’an County suggests that there are correlations with all four types of NGPCL, which exhibit spatial clustering, except for IMR, which displays spatial heterogeneity. We attribute the phenomenon of NGPCL in Le’an County to natural, social, and economic factors, with the driving forces having varying degrees of influence. Specifically, slope, altitude, and cultivated land protection intensity play significant roles in the overall NGPCL. This paper is of crucial significance to the local agricultural management department’s efforts to prevent and control the non-grain production of cultivated land and the Chinese Government’s efforts to ensure food security.

10 January 2023 in Sustainability
Verified
Journal Article
Open access
PDF file
DYDajie Yu
Dajie Yu
XYXianfang Yang
Xianfang Yang
LZLin Zheng
Lin Zheng
This study aims to provide a scientific reference for rural reconstruction and revitalization in the areas covered by Eco-Urban Agglomeration Around Poyang Lake. Rural development and restructuring is a comprehensive process involving multiple elements and a long-time sequence. Accordingly, scientific knowledge concerning the evolution and characteristics of the spatial and temporal patterns of rural development and reconstruction is crucial for successively facilitating rural revitalization and ensuring the sustainable development of rural areas. In this study, a framework of rural development and restructuring was constructed for areas around Poyang Lake Eco-Urban Agglomeration based on the data regarding population, land, and industrial elements in the rural regional system, as well as the data of counties covered by Poyang Lake Eco-Urban Agglomeration. For this purpose, the entropy value and other research methods were used to analyze the level of rural development and the degree of rural reconstruction, as well as to identify the characteristics of rural reconstruction types. The study results revealed the following: (1) Rural Comprehensive Development Level has increased from 0.218 to 0.347, and the geographical development gap of the countryside has narrowed; however, the development level of each region and each factor continues to remain uneven. (2) The results demonstrated a wave-like advancement in the Rural Comprehensive Restructuring Degree, with a decreased Rural Population Restructuring Degree, an increased Rural Industry Restructuring Degree, and a decreased Rural Land Restructuring Degree. (3) Rural restructuring in the study area can be divided into six zones according to the level of rural development and the degree of rural restructuring, with Type I and Type III being the main types. Based on the above results, this research proposes optimizations for different rural development and reconstruction type zones.