Stochastic Modeling in Human Carrying-Capacity Estimation: A Tool for Development Planning in Amazonia

2019 ◽  
pp. 279-295
Author(s):  
Philip M. Fearnside
1987 ◽  
Vol 77 (4) ◽  
pp. 479 ◽  
Author(s):  
William M. Denevan ◽  
Philip M. Fearnside

2019 ◽  
Vol 17 (2) ◽  
pp. 245
Author(s):  
Ihsan Arham ◽  
Sofyan Sjaf ◽  
Dudung Darusman

Most of the agricultural sector activities are in rural area. Rural and agricultural development requires accurate spatial information so that accuracy in sustainable development planning can be attained. This study was aimed to determine the strategy of sustainable agriculture development planning in a rural area. This research method used a spatial data approach acquiring village imagery produced using a drone. The actual land use analysis used ArcGIS software through a participatory digitization process. Analysis of land carrying capacity using the approach of land availability and land requirements. The results of the analysis became a reference for compiling the direction of planning for sustainable agricultural village development. Analysis of alternative program priorities using the Analytical Hierarchy Process (AHP) approach. The study found that agricultural areas dominated land use in Sukadamai Village with an area of 112,942 ha (42,693%). Land carrying capacity in Sukadamai Village was in a deficit with a comparison ratio of land availability (SL) to land requirements (DL) of 0.22. The strategy of sustainable agricultural development that can be done is the innovative application of effective and efficient land intensification. The program prioritized the criteria of social justice and maximized the government's role in realizing development goals.


1988 ◽  
Vol 16 ◽  
pp. 93-99
Author(s):  
Takehiko FUKUSHIMA ◽  
Hideo HARASAWA

2017 ◽  
Vol 17 (5) ◽  
pp. 1306-1315
Author(s):  
Hongbo Liu ◽  
Yunfeng Liu ◽  
Lingjun Li ◽  
Hongxia Gao

It is of great significance to establish a scientific and reasonable water resources carrying capacity evaluation system and evaluation method on the basis of studying the interdependence and mutual relations of water resources, society, economy and the ecological environment. This can guide water resources utilization and economic and social development planning, and promote the sustainable development of water resources and the socio-economic system. Projection pursuit technology can achieve automatic index selection and index weight confirmation. When used to assess water resources carrying capacity, the subjectivity and uncertainty of index weights can be avoided. Meanwhile, it can also be used to optimize the index system, and can improve the accuracy of evaluation results and discrimination. In this paper, the projection pursuit grade model of water resources carrying capacity is established. The evaluation criteria are determined by combining the theory with practice. Grades I to IV indicate that the water resources capacity declines gradually. This is the first study of water resources carrying capacity in four municipalities in China. The results show that the water resources carrying capacity of the four municipalities in 2012 belong to the third level, Chongqing is close to the second level and Tianjin is close to the fourth level.


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