Assessment of agricultural prospects in relation to land use change and population pressure on a spatiotemporal framework

Biswas, Gouranga; Sengupta, A. K.

doi:10.1007/s11356-021-17956-8

Cited by 7 publications

(3 citation statements)

References 81 publications

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“… ② DP . A high population density will strain the area’s ecological system and resource use, leading to a severe conflict between the population and the environment, which is not ideal for developing a favorable environment for agricultural production (Biswas and Sengupta 2022 ). ③ EL .…”

Section: Methodology Indicators and Datasetsmentioning

confidence: 99%

Synergistic study of the green efficiency and economic resilience of agriculture from a sustainable development perspective: evidence from Northeast China

Mei

Qing

2023

Environ Sci Pollut Res

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Under the scenario of the complex external environment and internal structural changes in agricultural development, exploring the synergistic relationship between agricultural green efficiency ( AGE ) and agricultural economic resilience ( AER ) can offer a new path for fostering sustainable regional agricultural development. This paper fills the research gap in the interaction between efficiency and resilience in agriculture. We explore the synergistic mechanism of the two based on the perspective of sustainable development, providing a reference for constructing a synergistic theoretical system of AGE and AER. Moreover, we apply the Haken model to the field of the agricultural economy and scientifically evaluate the level of AGE and AER synergy in Northeast China from 2010 to 2020. Finally, we analyze the influencing factors of AGE and AER synergy in Northeast China from three dimensions: economic, social, and natural. The results show that AER is dominant in the AGE-AER synergistic system. The synergy level of AGE and AER in Northeast China is mainly in the higher and advanced synergy stages, with obvious spatio-temporal differences and insufficient inter-regional radiation effects. Social factors are the main factors of spatial differentiation of AGE and AER synergy.

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Section: Methodology Indicators and Datasetsmentioning

confidence: 99%

Synergistic study of the green efficiency and economic resilience of agriculture from a sustainable development perspective: evidence from Northeast China

Mei

Qing

2023

Environ Sci Pollut Res

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“…The objective of this approach is to forecast future trends and LULC alteration properties. The CA model takes into account the uncertainty that arises from various factors, including the correlation between model components, the model's design, and the accuracy of the data used as input [46,47], while the CA-Markov approach focuses on how cells react locally, taking into account their unique spatial and temporal character-istics. It utilizes computational capabilities that are suitable for dynamic simulation and visualization.…”

Section: Lulc Prediction Using the Ca-markov Chain Modelmentioning

confidence: 99%

A CA–Markov-Based Simulation and Prediction of LULC Changes over the Nyabarongo River Basin, Rwanda

Gasirabo,

Xi,

Hamad

et al. 2023

Land

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Over the past few decades, the growth of population and the development of the economy have had a significant impact on the way land is used and covered (LULC) in the Nile Nyabarongo River basin. However, there is limited knowledge about the patterns of land use and the mechanisms that drive changes in these patterns because of human activities. Therefore, it is crucial to examine how land use and cover are shifting in this area, identify the factors responsible for these changes, and forecast future patterns. This study sought (1) to evaluate the changes in LULC from 1990 to 2020 and (2) to predict future fluctuations until 2060. By analyzing the LULC data for the years 1990, 2000, 2010, and 2020, this study simulated the future LULC patterns of the area for the next 30 years using the LULC transition matrix and the Markov chain model. The study classified the LULC into five categories: forestland, grassland, cropland, settlement, and water. The results revealed that there will be significant changes in the LULC of the study area from 2030 to 2060. The forest area is projected to decrease by 801.7 km, 771.6 km, and 508.2 km, while the cropland area will expand by 6307.2 km, 6249.2 km, and 6420.6 km during this period. The grassland area will experience a small increase of 761.1 km, 802.4 km, and 859.1 km, and the settlement area will also grow by 355.2 km, 407.4 km, and 453.2 km. In contrast, the water area will decrease by 55.9 km, 50.5 km, and 40 km. The ongoing pattern of LULCC is expected to persist over the next three decades, with an increase in cropland area and grassland. This study’s findings can provide valuable insights for land use planners and water resource managers in developing fair land use and water resource management policies for the entire region, enabling them to make well-informed decisions.

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“…For example, Biswas G has carried out related research and applications, and the technical level of visualization is changing from post-processing to post-processing. The progress of interactive control and real-time tracking, combined with virtual reality, optical fiber high-speed network, high-performance graphics workstation, supercomputer, etc., is an important direction of technology development in this field [3]. The theories related to environmental rights described by Menossi and Matí as mostly start from the ecological environment [4].…”

Section: Introductionmentioning

confidence: 99%

Agricultural Pollution Visualization under Multilevel Grid

2022

AJEB

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At present, the pollution of rural industries is serious, the development of rural industries is more harmful to the rural environment and agricultural resources, and the sustainable, healthy and stable development of rural areas is threatened. This paper aims to study the visualization of agricultural pollution under the multi-level grid. The research of this paper starts from sorting out the theories related to the rural environment, summarizes and analyzes the survey results of the current situation of rural industrial pollution, and summarizes the reasons for the increasing rural industrial pollution on the basis of the investigation and analysis of the damage to farmers' environmental rights. and in-depth analysis. On the basis of previous research, this paper takes discourse analysis and social network analysis as the theoretical support, and uses the visualization method as the method for presenting the analysis results. On the basis of understanding the pollution situation of agricultural waste discharge, emission intensity, pollution sources, etc., analyze the factors affecting farmers' pollution behavior and willingness to pay, and put forward some suggestions for residents' life, management measures, livestock and poultry, aquaculture, agricultural production, etc. Experiments have shown that the annual COD pollution factor in a certain province has been greatly reduced to about 1.4 million tons in recent years.

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Assessment of agricultural prospects in relation to land use change and population pressure on a spatiotemporal framework

Cited by 7 publications

References 81 publications

Synergistic study of the green efficiency and economic resilience of agriculture from a sustainable development perspective: evidence from Northeast China

Synergistic study of the green efficiency and economic resilience of agriculture from a sustainable development perspective: evidence from Northeast China

A CA–Markov-Based Simulation and Prediction of LULC Changes over the Nyabarongo River Basin, Rwanda

Agricultural Pollution Visualization under Multilevel Grid

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