The climatic resource model in Jiangsu Province is established by using multivariate regression from meteorological data set during 1970 to 2008 provided by 70 meteorological stations.By dint of GIS and spatial model ...The climatic resource model in Jiangsu Province is established by using multivariate regression from meteorological data set during 1970 to 2008 provided by 70 meteorological stations.By dint of GIS and spatial model of climate resources,the climate resource diagram of Jiangsu Province is designed.Considering the zoning index,the climate resources diagram is superposed and analyzed and thus,the climate resources zoning map generates.Besides,advices are proposed for the direction of agricultural development.展开更多
A numerous studies have been done on climate change at regional, national and global levels. Several climate models have predicted the global scenarios for climate in different parts of the world. However, the signifi...A numerous studies have been done on climate change at regional, national and global levels. Several climate models have predicted the global scenarios for climate in different parts of the world. However, the significance and practical implementation of such models at local level yet to be validated. This is because those national or global models do not consider micro variables such as such as environmental resources for example ‘land availability, local climatic conditions, socioeconomic factors such as ‘labour and capital’, policy aspects such as ‘subsidies, nature conservation strategies’ and competition for labor and capital in relation of ‘national economy’. India, with a huge diversity in land, topography, climate and socioeconomic conditions, divided into 15 agro-ecological zones. Further, to help develop location specific research and development strategies at the micro level, a total of 127 sub-zones (agro-climatic sub regions) have been identified in India. Therefore, research on climate change and its impact only at the regional or national level may not be a sound approach to provide solutions for adaptation to climate change at micro level. Thus the micro-level research needs to be undertaken that might help us understand climate change impacts on the landscape i.e. biodiversity, health, natural resource management, land use and land cover development, adaptation and the development of socio-ecological systems. The concepts presented in this article should provide the basis for a discussion on decision-making issues among multidisciplinary experts with regard to climate change and sustainable development within complex environments.展开更多
文摘The climatic resource model in Jiangsu Province is established by using multivariate regression from meteorological data set during 1970 to 2008 provided by 70 meteorological stations.By dint of GIS and spatial model of climate resources,the climate resource diagram of Jiangsu Province is designed.Considering the zoning index,the climate resources diagram is superposed and analyzed and thus,the climate resources zoning map generates.Besides,advices are proposed for the direction of agricultural development.
文摘A numerous studies have been done on climate change at regional, national and global levels. Several climate models have predicted the global scenarios for climate in different parts of the world. However, the significance and practical implementation of such models at local level yet to be validated. This is because those national or global models do not consider micro variables such as such as environmental resources for example ‘land availability, local climatic conditions, socioeconomic factors such as ‘labour and capital’, policy aspects such as ‘subsidies, nature conservation strategies’ and competition for labor and capital in relation of ‘national economy’. India, with a huge diversity in land, topography, climate and socioeconomic conditions, divided into 15 agro-ecological zones. Further, to help develop location specific research and development strategies at the micro level, a total of 127 sub-zones (agro-climatic sub regions) have been identified in India. Therefore, research on climate change and its impact only at the regional or national level may not be a sound approach to provide solutions for adaptation to climate change at micro level. Thus the micro-level research needs to be undertaken that might help us understand climate change impacts on the landscape i.e. biodiversity, health, natural resource management, land use and land cover development, adaptation and the development of socio-ecological systems. The concepts presented in this article should provide the basis for a discussion on decision-making issues among multidisciplinary experts with regard to climate change and sustainable development within complex environments.
