3 présentations

• 
  10h45 - 11h15

  How to improve ecological-economic resilience of a fished coral reef through stochastic MMSY?

  • Adrien Lagarde, prés., GREThA Univ. of Bordeaux
  • Luc Doyen, GREThA Univ. of Bordeaux
  • Joachim Claudet, CRIOBE-CNRS Paris
  • Abdoul Ahad-Cisse, Univ. of Cayenne

  This paper investigates the ecological-economic resilience of coral reef ecosystems under fishing and environmental pressures. To achieve this, a dynamic, spatially explicit, multi-species, multi-fleet model is developed and calibrated using ecological, economic and environmental data in French Polynesia. Stochastic environmental shocks assumed to negatively impact coral cover and consequently the entire coral reef socio-ecosystem. Four exploratory and a MMSY (Multi-Species Maximum Sustainable Yield) fishing management strategies are compared in terms of ecological-economic outcomes and resilience. The MMSY appears as the more sustainable economic and ecological strategy that promotes resilience. As a consequence, adaptive and stochastic strategies seem to perform better.

• 
  11h15 - 11h45

  Evaluating solar photovoltaic potential across various landscapes with LiDAR and Imagery Analysis: case study Atlantic County, New Jersey, USA

  • Bevacqua Anthony, prés., Montclair State University
  • Lal Pankaj, Montclair State University

  We model potential for solar photovoltaic technology adoption across several land use classifications using spatial analysis and remote sensing techniques. Solar photovoltaics are an important part of the clean energy future and can be installed across a wide range of environments. We identify optimal locations for deployment based on system design optimization, levelized cost of energy, and conservation of agriculture and open spaces. Quantifying potential for renewable energy technology in this way supports clean energy policy development with considerations of natural resource conservation.

• 
  11h45 - 12h15

  Spatial spillover effects of environmental pollution in China’s central plains urban agglomeration

  • Lichun Xiong, prés., Beijing Forestry University

  Promoting the rise of Central China is one of the most important national strategies regarding the promotion of China’s economic development. However, the environmental issues in the central regions have become remarkably severe. It is therefore worthwhile exploring how economic development and environmental protection can be coordinated. Focusing on the 29 prefecture-level cities in the Central Plains Urban Agglomeration, the authors empirically analyze the relationship between the economy and the environment from 2004 to 2014. The combined methods of the spatial autocorrelation model, the environmental Kuznets curve, and the global spatial correlation test are systematically employed. The results show that: (1) a strong spatial correlation exists between industrial wastewater discharge, industrial sulfur dioxide, and dust emissions in the Central Plains Urban Agglomeration; (2) the relationship between the economy and the environment of this urban agglomeration reveals an inverted “U” curve, which confirms the classical environmental Kuznets curve hypothesis. Industrial dust emissions have surpassed the inflection point of the Kuznets curve, but its spatial spillover effect still remains strong. This is caused by an accumulation effect and a lag effect; (3) the proportion of the secondary industry and population has a strong positive effect on pollution discharge; investments in science and technology have a certain inhibitory effect on industrial sulfur dioxide emission. Moreover, an increase in the number of industrial enterprises
  has a negative effect on industrial wastewater emission. At the end, the authors put forward policy recommendations regarding the establishment of a joint supervisory department and unified environmental standards at the regional level to deal with the spillover effects of pollution.