This article uses the conventional ecological footprint method and its improved model of ecological footprint to analyze the state of the sustainable development of Wuhan City in 2009, the results show that the per ca...This article uses the conventional ecological footprint method and its improved model of ecological footprint to analyze the state of the sustainable development of Wuhan City in 2009, the results show that the per capita ecological deficit calculated by the method of emergy ecological footprint is 3.8629 hm2, and the per capita ecological deficit calculated by the method of conventional ecological footprint is 2.0169 hm2. The results obtained by the two methods respectively show that current development of Wuhan is unsustainable. The emergy ecological footprint method introduces the energy flow to reflect the relationship between human resource demand and supply of nature to human and adopts parameters—emergy conversion rate and energy density to calculate the ecological carrying capacity data which is more accurate.展开更多
The Ecological Footprint （EF）, a physical indicator to measure the extent of humanity＇s use of natural resources, has gained much attention since it was first used by Wackemagel and Rees in 1996. In order to apprai...The Ecological Footprint （EF）, a physical indicator to measure the extent of humanity＇s use of natural resources, has gained much attention since it was first used by Wackemagel and Rees in 1996. In order to appraise land area types with different levels of productiv- ity, they introduced the concept of an equivalence factor. This relates to the average primary biomass productivities of different types of land （i.e. arable land, pasture, forest, water/fishery, built-up land and fossil energy land） to the regional average primary biomass productivity of all land types in a given year. Hence, the equivalence factor is an important parameter in the EF model and it directly affects the reliability of all results. Thus, this article calculates equivalence factors on the national and provincial levels in China based on Net Primary Production （NPP） from MODIS 1 km data in 2008. Firstly, based on the Light Utility Efficiency and CASA model, the NPP of different biologically productive lands of China and of different provinces was calculated. Secondly, China＇s equivalence factor for 6 land area types was calculated based on NPP： arable land and built-up land has an equivalence factor of 1.71, forest and fossil energy land has a factor of 1.41, pasture has a factor of 0.44 and water/fishery 0.35; Finally, the equivalence factor of 6 land area types in different provinces was also calculated. The NPP of each ecosystem type varies along with the equivalence factor in different provinces. However, the ranking of the equivalence factors in different provinces remain the same, with that of arable land being the largest, and the water/fishery being the smallest.展开更多
文摘This article uses the conventional ecological footprint method and its improved model of ecological footprint to analyze the state of the sustainable development of Wuhan City in 2009, the results show that the per capita ecological deficit calculated by the method of emergy ecological footprint is 3.8629 hm2, and the per capita ecological deficit calculated by the method of conventional ecological footprint is 2.0169 hm2. The results obtained by the two methods respectively show that current development of Wuhan is unsustainable. The emergy ecological footprint method introduces the energy flow to reflect the relationship between human resource demand and supply of nature to human and adopts parameters—emergy conversion rate and energy density to calculate the ecological carrying capacity data which is more accurate.
文摘The Ecological Footprint （EF）, a physical indicator to measure the extent of humanity＇s use of natural resources, has gained much attention since it was first used by Wackemagel and Rees in 1996. In order to appraise land area types with different levels of productiv- ity, they introduced the concept of an equivalence factor. This relates to the average primary biomass productivities of different types of land （i.e. arable land, pasture, forest, water/fishery, built-up land and fossil energy land） to the regional average primary biomass productivity of all land types in a given year. Hence, the equivalence factor is an important parameter in the EF model and it directly affects the reliability of all results. Thus, this article calculates equivalence factors on the national and provincial levels in China based on Net Primary Production （NPP） from MODIS 1 km data in 2008. Firstly, based on the Light Utility Efficiency and CASA model, the NPP of different biologically productive lands of China and of different provinces was calculated. Secondly, China＇s equivalence factor for 6 land area types was calculated based on NPP： arable land and built-up land has an equivalence factor of 1.71, forest and fossil energy land has a factor of 1.41, pasture has a factor of 0.44 and water/fishery 0.35; Finally, the equivalence factor of 6 land area types in different provinces was also calculated. The NPP of each ecosystem type varies along with the equivalence factor in different provinces. However, the ranking of the equivalence factors in different provinces remain the same, with that of arable land being the largest, and the water/fishery being the smallest.
