Future scenarios of land-use suitability modeling for agricultural sustainability in a river basin

Sahoo, Satiprasad; Sil, Indrani; Dhar, Anirban; Debsarkar, Anupam; Das, Pulakesh; Kar, Amlanjyoti

doi:10.1016/j.jclepro.2018.09.099

Cited by 47 publications

(14 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The results of this study [18] show that changes in land use suitability can occur due to rapid population growth, urbanization, and industrial development. This study [18] will be accurate when considering more parameter factors that play a role in modeling simulations.…”

Section: Introductionmentioning

confidence: 78%

“…This study [3] has limitations invalidating and sensitivity to variations in the multi-criteria parameters used for evaluating certain types of plants. Modeling for identification of land use suitability zones for agricultural sustainability in watersheds using the MCDM Analytical Hierarchy Process (AHP) method, parameters used based on climate change in three scenarios 2030, 2050 and 2080 [18]. The results of this study [18] show that changes in land use suitability can occur due to rapid population growth, urbanization, and industrial development.…”

Section: Introductionmentioning

confidence: 94%

“…Modeling for identification of land use suitability zones for agricultural sustainability in watersheds using the MCDM Analytical Hierarchy Process (AHP) method, parameters used based on climate change in three scenarios 2030, 2050 and 2080 [18]. The results of this study [18] show that changes in land use suitability can occur due to rapid population growth, urbanization, and industrial development. This study [18] will be accurate when considering more parameter factors that play a role in modeling simulations.…”

Section: Introductionmentioning

confidence: 94%

See 2 more Smart Citations

System Dynamics Modelling for Increasing of Paddy Production with Land Suitability Level to Support Food Security

W¹

2020

IJATCSE

View full text Add to dashboard Cite

Increasing the population of the population increased demand for agricultural production, so this has an impact on reducing the use of agricultural land. Identification of land suitability is important so that there is an evaluation of land use to increase land productivity now and in the future. the purpose of this study is to evaluate the suitability of agriculture land to increase the production of paddy harvest on each paddy field with physical constraints. therefore, that it can help the stakeholder of agriculture land to take sustainable strategic decision making. Therefore, dynamic system modeling is applied to analyze the level of land suitability for paddy based on plant requirements, quality and land characteristics. This study can be used as a condition forecast that develops a system dynamics model to learn about future patterns of change in land use management that can support multi-purpose analysis of the objectives for optimal agricultural productivity concerning food security.

show abstract

Section: Introductionmentioning

confidence: 78%

Section: Introductionmentioning

confidence: 94%

Section: Introductionmentioning

confidence: 94%

See 1 more Smart Citation

System Dynamics Modelling for Increasing of Paddy Production with Land Suitability Level to Support Food Security

W¹

2020

IJATCSE

View full text Add to dashboard Cite

show abstract

“…Each indicator is then compared and calculated to determine the individual weight of each indicator in the hierarchical model. Specific calculation methods are provided in most of the available literatures [26,27] .…”

Section: Multi-level Fuzzy Comprehensive Evaluationmentioning

confidence: 99%

Determination of amount of irrigation and nitrogen for comprehensive growth of greenhouse cucumber based on multi-level fuzzy evaluation

Hong

Cai

et al. 2021

International Journal of Agricultural and Biological Engineering

View full text Add to dashboard Cite

In the northwestern part of China, rational and efficient management of irrigation and nitrogen significantly affects the intensive production of greenhouse cucumbers (Cucumis sativus L). To evaluate the effects of different combinations of water use and nitrogen (N) on yield, quality, and profitability of the greenhouse cucumbers that planted in 2018 Spring, nine combined treatments were applied. Results indicated the optimal irrigation and nitrogen demands for yield, quality and other indicators were different. The irrigation amount significantly affected the yield, and the yield gradually increased with increasing in irrigation. Single fruit weight (SFW) was significantly affected by the amount of irrigation, nitrogen and their interactions, and the higher amounts of N and irrigation were beneficial to the increase of SFW. The partial factor productivity of the applied N (PFP N ) gradually increased with the nitrogen amount decline. Irrigation water use efficiency (IWUE) was closely related to the amount of irrigation. The higher irrigation amount would lead to the lower IWUE. When the amounts of irrigation and nitrogen were at an intermediate level, the content of vitamin C (VC) reached the maximum. As the amount of nitrogen was increased or irrigation was decreased, the Nitrate content (NC) would increase. Free amino acid (FAA) and NC followed a similar variation. When the amounts of irrigation and nitrogen both were at medium levels, the total soluble sugar concentration (TSSC) reached the highest. The multi-level fuzzy evaluation method was used to evaluate different indicators of cucumber. The weights of indicators in the first and second layer were determined by analytic hierarchy process (AHP) and entropy weight method, respectively. Then the fuzzy algorithm was used to comprehensively evaluate all the treatments. The evaluation results show that T4 (irrigation, 1957.6 m 3 /hm 2 ; N, 210 kg/hm 2 ) is the best strategy for greenhouse cucumber irrigation and nitrogen management in the northwestern part of China.

show abstract

“…However, it could not clarify decision-making procedures and different response mechanisms of various organizations [21]. The Dyna-CLUE has been used in some continents and countries successfully [22][23][24][25][26][27][28]. For example, future land use dynamics of Europe in 2030 was simulated using Dyna-CLUE model for the global economic scenario [22].…”

Section: Introductionmentioning

confidence: 99%

Investigation of Future Land Use Change and Implications for Cropland Quality: The Case of China

et al. 2019

View full text Add to dashboard Cite

Cropland loss resulting from land use change has drawn great attention in China due to the threat to food security. However, little is known about future magnitude and quality of cropland of China. In this study, the dynamic conversion of land use and its effects model (Dyna-CLUE) together with the Markov model and the potential yield data were used to simulate the influence of land use change on cropland quality in the next two decades under three scenarios. The results indicate that, under the trend scenario, the high-yield and medium-yield cropland would decrease and the low-yield cropland would increase between 2015 and 2030. The crop yield would decrease by 1.3 × 109 kg. Under planned scenario, high-yield and medium-yield cropland would decrease and the low-yield cropland would increase, and total crop yield would stay almost unchanged. Under the cropland protection scenario, the high-yield cropland would reduce slightly, and the medium-yield and low-yield cropland would increase substantially. The crop yield would increase by 5.36 × 1010 kg. The result of this study will help decision-makers to develop reasonable land use policies to achieve the goals of harmonious development between food security, economic growth, and environmental protection.

show abstract

Future scenarios of land-use suitability modeling for agricultural sustainability in a river basin

Cited by 47 publications

References 24 publications

System Dynamics Modelling for Increasing of Paddy Production with Land Suitability Level to Support Food Security

System Dynamics Modelling for Increasing of Paddy Production with Land Suitability Level to Support Food Security

Determination of amount of irrigation and nitrogen for comprehensive growth of greenhouse cucumber based on multi-level fuzzy evaluation

Investigation of Future Land Use Change and Implications for Cropland Quality: The Case of China

Contact Info

Product

Resources

About