Optimal Ecological Restoration of Degraded Wetland Ecosystem by Using Satellite Sensors

2014 ◽  
Vol 511-512 ◽  
pp. 138-141
Author(s):  
Ling Sun ◽  
Ze Sheng Zhu

Ecological restoration of degraded wetland ecosystem can be achieved by planning experts according to ground investigation, but with low efficiencies. We report that satellite sensors, maximizing ecosystem service values and minimizing ecological restoration cost improve ecological restoration efficiency. In particular, multi-objective linear programming (MOLIP), an optimal programming, improves ecological restoration efficiency by more than 250% in the return on investment of ecological restoration, using TM satellite as area sensors. MOLIP also enables efficient introduction of ecological restoration management without introduction of planning experts and ground investigation.

2014 ◽  
Vol 889-890 ◽  
pp. 1630-1633
Author(s):  
Ling Sun ◽  
Ze Sheng Zhu

We develop a model to investigate the use of linear programming to maximize return on investment of ecological restoration of coastal mud flat, in particular maximizing ecosystem service values, minimizing ecological restoration cost by optimizing development and ecological restoration of coastal mud flat. We show that such an optimal model was constructed to represent all ecosystem and ecological restoration services and given the return on optimal investment of ecological restoration for the coastal mud flat in Dafeng City, Jiangsu Province, China. Finally, the return on investment of ecological restoration, up to 256.4% in 1997, exhibits that there is a possibility of obtaining a decision support system from the optimal model and suggests that it is possible to improve decisions of restoration programs of the coastal mud flat by the return on investment of ecological restoration in which multiple service benefits can be maximized and ecological restoration cost can be minimized simultaneously.


2014 ◽  
Vol 522-524 ◽  
pp. 709-712
Author(s):  
Ling Sun ◽  
Ze Sheng Zhu

The aim of this study was to investigate the use of condition linear programming model to optimize development and ecological restoration of coastal mud flat, in particular maximizing ecosystem service values, minimizing ecological restoration cost and computing return on investment of ecological restoration of coastal mud flat. Such a linear programming model for Dafeng City, Jiangsu Province, China was constructed to represent all ecosystem and ecological restoration services and given the return on optimal investment of ecological restoration for the coastal mud flat. This indicates that there is a possibility of obtaining a decision support system from the linear programming model and suggests that it is possible to improve decisions of restoration programs of the coastal mud flat by the return on investment of ecological restoration in which multiple service benefits can be maximized and ecological restoration cost can be minimized simultaneously.


2014 ◽  
Vol 608-609 ◽  
pp. 1056-1060 ◽  
Author(s):  
Lei Cao ◽  
Xue Nan Mu

This paper first analyses the advantage of coastal reclamation and its impact on the environment, finally proposed reclamation development mode of benign development which can provide the reasonable reference for the further research of reclamation. The article puts forward that exploitation should follow the principles of both protection and development. Through the full investigation of biological resources, wetland environmental carrying capacity of natural attributes, and huge demand and utilization situation of wetland and other social attributes of the reclamation, to analyze of wetland ecosystem service function, so as to accurately judge the reclamation suitability. Therefore, the reclamation is not only to meet the requirements of economic development, more attention should be paid to the protection of coastal wetland region.


2014 ◽  
Vol 513-517 ◽  
pp. 2979-2982
Author(s):  
Ling Sun ◽  
Ze Sheng Zhu

The aim of this study was to investigate the use of two linear programming models to optimize protection, development, and ecological restoration of coastal mud flat, in particular maximizing ecosystem service values and minimizing ecological restoration cost. Such two linear programming models for Dafeng City, Jiangsu Province, China were constructed to represent all ecosystem and ecological restoration services in a decision support model and given the optimal protection, development, and ecological restoration decision for the coastal mud flat. This indicates that there is a possibility of obtaining a decision support system from the linear programming models and suggests that it is possible to improve decisions of restoration programs of the coastal mud flat by selecting areas of protection and development in which multiple service benefits can be maximized and ecological restoration cost can be minimized simultaneously.


2018 ◽  
Vol 5 ◽  
Author(s):  
Sarai Pouso ◽  
Silvia Ferrini ◽  
R. Kerry Turner ◽  
María C. Uyarra ◽  
Ángel Borja

2019 ◽  
Vol 103 ◽  
pp. 434-445 ◽  
Author(s):  
Charlie Langan ◽  
Jenny Farmer ◽  
Mike Rivington ◽  
Paula Novo ◽  
Jo U. Smith

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Wei Song ◽  
Xiangzheng Deng ◽  
Bing Liu ◽  
Zhaohua Li ◽  
Gui Jin

China launched a series of ecological restoration policies to mitigate its severe environmental challenges in the late 1990s. From the beginning, the effects and influences of the ecological restoration policies have been hotly debated. In the present study, we assessed the effects of two vital ecological restoration policies (Grain-for-Green and Grain-for-Blue) on valued ecosystem services in Shandong province. A new method based on the net primary productivity and soil erosion was developed to assess the ecosystem service value. In the areas implementing the Grain-for-Green and Grain-for-Blue policies, the ecosystem service value increased by 24.01% and 43.10% during 2000–2008, respectively. However, comparing to the average increase of ecosystem service value (46.00%) in the whole of Shandong province in the same period, Grain-for-Green and Grain-for-Blue did not significantly improve overall ecosystem services. The ecological restoration policy led to significant tradeoffs in ecosystem services. Grain-for-Green improved the ecosystem service function of nutrient cycling, organic material provision, and regulation of gases but decreased that of water conservation. Grain-for-Blue increased the water conservation function but led to a reduction in the function of soil conservation and nutrient cycling.


Sign in / Sign up

Export Citation Format

Share Document