Dataset of Agricultural Resource and Environment Zoning of China

GCdataPR ◽  
2021 ◽  
Author(s):  
Erqi XU
2018 ◽  
Vol 20 (5) ◽  
pp. 1 ◽  
Author(s):  
Yulin Shi ◽  
Huajun Tang ◽  
Hao Wang ◽  
Zhongqi Gao ◽  
Lin Wang ◽  
...  

1992 ◽  
Vol 26 (12) ◽  
pp. 2705-2709 ◽  
Author(s):  
H. M. Austin

The Chesapeake Bay, while a significant habitat for fisheries resources, is in actuality an aquatic “bedroom community”, as many of the economically important species are seasonally transient. The pressure on these resources due to their demand for human consumption and recreation, proximity to extensive industrial activity along the shores, and climate scale environmental fluctuations has resulted in stock declines by most important species. Our inability to separate natural population fluctuations from those of anthropogenic origin complicates management efforts. The only way to make these separations, and subsequent informed management decisions is by supporting long-term stock assessment programs (monitoring) in the Bay which allow us to examine trends, cycles and stochastic processes between resource and environment. These programs need to monitor both recruitment and fishing mortality rates of the economically important species, and to identify and monitor the environmentally sensitive “canary” species.


2011 ◽  
Vol 361-363 ◽  
pp. 1000-1004
Author(s):  
Qi Li

Based on the statistics data from 1990 to 2008 in Anhui province, this article selects four indexes which include energy consumption, SO2 discharge, water consumption and COD discharge per ten thousand yuan GDP, and establishes environment learning curves of energy consumption and air pollution, water consumption and pollution in Anhui province. According to these models, the potentials of resources saving and pollution reducing in different periods are calculated and analyzed, represented by the decrease of each index when the per capita GDP increase 1000 yuan. The result shows that: (1) With the growth of GDP per capital, each index falls by power exponential model which follows "environmental learning curve", illustrating that the burden of resource and environment was steady declining. (2) The potentials of saving energy resources and reducing pollution in Anhui province gradually descents from 1990 to 2008, illustrating that the reduction in marginal cost by the development of technology is becoming smaller and smaller, and the enhancement of resource using efficiency and pollution reducing efficiency is not unlimited.


2013 ◽  
Vol 361-363 ◽  
pp. 145-151
Author(s):  
Shan Hua

The sustainable development of the northern Shaanxi area has been severely restricted by the increasingly serious issue of the environmental pollution and ecological destruction in the energy and chemical industry base there. This paper, based on the thorough analysis to the investigation data about the environmental status and the existing problems of energy and chemical industry base in northern Shaanxi, construct evaluation index system of the base sustainable development. The paper evaluated comprehensively the level of sustainable development in energy and chemical industry base in Northern Shaanxi based on statistical data in past years. It reveals the contradiction and the plight of economic, resource and environment in the process of current base, and shows the urgent problems which must be solved in the future.


Land ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1168
Author(s):  
Wei-Ling Hsu ◽  
Xijuan Shen ◽  
Haiying Xu ◽  
Chunmei Zhang ◽  
Hsin-Lung Liu ◽  
...  

The evaluations of resource and environment carrying capacity and territorial development suitability, also referred to as “double evaluations”, have been taken by China as an important direction in territorial space planning. Based on the evaluation of resource and environment carrying capacity, the double evaluations can contribute to protecting ecological safety and territorial safety and promoting regional sustainable development. The focus of this study was to integratedly evaluate the resource and environment carrying capacity of the Huaihe River Ecological and Economic Belt. First, the overall weights of the factors at the dimension level and the index level in the established integration evaluation system were calculated with the fuzzy analytical hierarchy process (FAHP) method; and then, using the linear weighted function, the overall resource and environment carrying capacities of 25 cities in the belt were calculated. On that basis, the resource and environment carrying capacity evaluation model was established. Through model analysis, this study comprehensively investigated the resource and environment carrying capacity of the Huaihe River Eco-economic Belt and provided a foundation for the future territorial space planning and layout of the Huaihe River Eco-economic Belt.


BMC Ecology ◽  
2016 ◽  
Vol 16 (S2) ◽  
Author(s):  
Zhouli Liu ◽  
Wei Chen ◽  
Xingyuan He ◽  
Shuai Yu ◽  
Weihang Ding ◽  
...  

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