The Experts below are selected from a list of 344982 Experts worldwide ranked by ideXlab platform

Navin Ramankutty - One of the best experts on this subject based on the ideXlab platform.

  • influence of extreme weather disasters on global Crop Production
    Nature, 2016
    Co-Authors: Corey Lesk, Pedram Rowhani, Navin Ramankutty
    Abstract:

    In recent years, several extreme weather disasters have partially or completely damaged regional Crop Production. While detailed regional accounts of the effects of extreme weather disasters exist, the global scale effects of droughts, floods and extreme temperature on Crop Production are yet to be quantified. Here we estimate for the first time, to our knowledge, national cereal Production losses across the globe resulting from reported extreme weather disasters during 1964-2007. We show that droughts and extreme heat significantly reduced national cereal Production by 9-10%, whereas our analysis could not identify an effect from floods and extreme cold in the national data. Analysing the underlying processes, we find that Production losses due to droughts were associated with a reduction in both harvested area and yields, whereas extreme heat mainly decreased cereal yields. Furthermore, the results highlight ~7% greater Production damage from more recent droughts and 8-11% more damage in developed countries than in developing ones. Our findings may help to guide agricultural priorities in international disaster risk reduction and adaptation efforts.

  • influence of extreme weather disasters on global Crop Production
    Nature, 2016
    Co-Authors: Corey Lesk, Pedram Rowhani, Navin Ramankutty
    Abstract:

    Analyses of the effects of extreme weather disasters on global Crop Production over the past five decades show that drought and extreme heat reduced national cereal Production by 9–10%, whereas no discernible effect at the national level was seen for floods and extreme cold; droughts affect yields and the harvested area, whereas extreme heat mainly affects yields.

Yongyang Wang - One of the best experts on this subject based on the ideXlab platform.

  • emergy based indicators of the environmental impacts and driving forces of non point source pollution from Crop Production in china
    Ecological Indicators, 2021
    Co-Authors: Zuoxi Liu, Shanshan Wang, Bing Xue, Yong Geng, Tianhua Yang, Huijuan Dong, Zhihong Luo, Weikun Tao, Yongyang Wang
    Abstract:

    Abstract Sustainable Crop Production is a significant challenge in China. To achieve this goal, it is necessary to evaluate environmental impacts related to the sustainable development of Crop Production by integrating scientific and practical indicators. Therefore, this study employed emergy and index decomposition analysis approaches to assess the environmental impacts of non-point source pollution and the overall performance of Crop Production in China’s 31 provinces. First, the emergy flow of emission impacts and two new indicators, the emergy sustainability index and the emergy-based pollutant-producing coefficient, were proposed to comprehensively measure Crop Production performance from 2012 to 2015. The results demonstrated that the environmental impacts of non-point source pollution (EIN) were predominantly attributed to total nitrogen and phosphorus contents and mulching film residuals, which substantially increased the total emergy used and reduced the sustainability of Crop Production in each province. The ratio of EIN plus purchased resources (F) to total emergy used (U) were consistently greater than 80% in all 31 provinces, while the ratio of local resources including the emergy of local renewable (R) and non-renewable resources (N) to the total emergy was relatively small, accounting for less than 20% in all provinces. Then, a logarithmic mean Divisia index decomposition method was applied to identify the key driving forces influencing the evolution of EIN. The decomposition analysis indicated that the economy factor had a major promoting effect on EIN growth in all provinces except Beijing and Shanghai. Intensity and technology factors had a limiting effect on EIN growth. These findings provide valuable insights for developing appropriate Crop Production policies that consider local conditions.

  • toward sustainable Crop Production in china an emergy based evaluation
    Journal of Cleaner Production, 2019
    Co-Authors: Zuoxi Liu, Bing Xue, Yong Geng, Tianhua Yang, Huijuan Dong, Yongyang Wang, Shanshan Wang
    Abstract:

    Abstract China's demand for Crop products is increasing, leading to a great deal of consumption of local resources and industrial inputs such as agricultural machineries, chemical fertilizers, pesticides and energies. Many environmental problems also occurred, such as water pollution, soil erosion and contamination, and CO2 emissions. Therefore, it is imperative to assess Crop Production's sustainability and identify the key driving forces of its rapid development so that the proper mitigation policies can be proposed. An emergy analysis method was employed due to its advantage of linking economic development with natural ecosystem service. Emergy sustainability index was chosen as the key indicator to measure Crop Production performances in 31 Chinese provinces for the period 2006–2015. The results demonstrate that the EYRs in 31 Chinese provinces are entirely keeping around 1 and the maximum and minimum values of ELR are respectively 1.71 in Guizhou and 8.29 in Tibet. Under this circumstance, the mean ESI values in 30 Chinese provinces are all less than 1, except Guizhou. This indicates that most Chinese provinces will have to improve their Crop Production toward sustainable agricultural development. Then, a logarithmic Mean Divisia Index (LMDI) decomposition method was applied to identify the key driving forces that affect the evolution of ESI. The change of ESI (ΔESI) was decomposed into five factors: Scale and intensity factor (I), which depends on emergy density; Non-renewable resources factor (T), which depends on the density of non-renewable resources emergy; Productivity of labor factor (P), which depends on the productivity of labor; Renewable resources factor (E), which depends on intensity of renewable resources and number of Labor (G), which depends on labor inputs. The decomposition analysis results indicate that labor and renewable resources are the major factors affecting China's sustainable Crop Production, while other factors also have certain impacts. Such findings can provide valuable policy insights so that more appropriate Crop Production policies can be prepared by considering the local realities.

Corey Lesk - One of the best experts on this subject based on the ideXlab platform.

  • influence of extreme weather disasters on global Crop Production
    Nature, 2016
    Co-Authors: Corey Lesk, Pedram Rowhani, Navin Ramankutty
    Abstract:

    In recent years, several extreme weather disasters have partially or completely damaged regional Crop Production. While detailed regional accounts of the effects of extreme weather disasters exist, the global scale effects of droughts, floods and extreme temperature on Crop Production are yet to be quantified. Here we estimate for the first time, to our knowledge, national cereal Production losses across the globe resulting from reported extreme weather disasters during 1964-2007. We show that droughts and extreme heat significantly reduced national cereal Production by 9-10%, whereas our analysis could not identify an effect from floods and extreme cold in the national data. Analysing the underlying processes, we find that Production losses due to droughts were associated with a reduction in both harvested area and yields, whereas extreme heat mainly decreased cereal yields. Furthermore, the results highlight ~7% greater Production damage from more recent droughts and 8-11% more damage in developed countries than in developing ones. Our findings may help to guide agricultural priorities in international disaster risk reduction and adaptation efforts.

  • influence of extreme weather disasters on global Crop Production
    Nature, 2016
    Co-Authors: Corey Lesk, Pedram Rowhani, Navin Ramankutty
    Abstract:

    Analyses of the effects of extreme weather disasters on global Crop Production over the past five decades show that drought and extreme heat reduced national cereal Production by 9–10%, whereas no discernible effect at the national level was seen for floods and extreme cold; droughts affect yields and the harvested area, whereas extreme heat mainly affects yields.

Shanshan Wang - One of the best experts on this subject based on the ideXlab platform.

  • emergy based indicators of the environmental impacts and driving forces of non point source pollution from Crop Production in china
    Ecological Indicators, 2021
    Co-Authors: Zuoxi Liu, Shanshan Wang, Bing Xue, Yong Geng, Tianhua Yang, Huijuan Dong, Zhihong Luo, Weikun Tao, Yongyang Wang
    Abstract:

    Abstract Sustainable Crop Production is a significant challenge in China. To achieve this goal, it is necessary to evaluate environmental impacts related to the sustainable development of Crop Production by integrating scientific and practical indicators. Therefore, this study employed emergy and index decomposition analysis approaches to assess the environmental impacts of non-point source pollution and the overall performance of Crop Production in China’s 31 provinces. First, the emergy flow of emission impacts and two new indicators, the emergy sustainability index and the emergy-based pollutant-producing coefficient, were proposed to comprehensively measure Crop Production performance from 2012 to 2015. The results demonstrated that the environmental impacts of non-point source pollution (EIN) were predominantly attributed to total nitrogen and phosphorus contents and mulching film residuals, which substantially increased the total emergy used and reduced the sustainability of Crop Production in each province. The ratio of EIN plus purchased resources (F) to total emergy used (U) were consistently greater than 80% in all 31 provinces, while the ratio of local resources including the emergy of local renewable (R) and non-renewable resources (N) to the total emergy was relatively small, accounting for less than 20% in all provinces. Then, a logarithmic mean Divisia index decomposition method was applied to identify the key driving forces influencing the evolution of EIN. The decomposition analysis indicated that the economy factor had a major promoting effect on EIN growth in all provinces except Beijing and Shanghai. Intensity and technology factors had a limiting effect on EIN growth. These findings provide valuable insights for developing appropriate Crop Production policies that consider local conditions.

  • toward sustainable Crop Production in china an emergy based evaluation
    Journal of Cleaner Production, 2019
    Co-Authors: Zuoxi Liu, Bing Xue, Yong Geng, Tianhua Yang, Huijuan Dong, Yongyang Wang, Shanshan Wang
    Abstract:

    Abstract China's demand for Crop products is increasing, leading to a great deal of consumption of local resources and industrial inputs such as agricultural machineries, chemical fertilizers, pesticides and energies. Many environmental problems also occurred, such as water pollution, soil erosion and contamination, and CO2 emissions. Therefore, it is imperative to assess Crop Production's sustainability and identify the key driving forces of its rapid development so that the proper mitigation policies can be proposed. An emergy analysis method was employed due to its advantage of linking economic development with natural ecosystem service. Emergy sustainability index was chosen as the key indicator to measure Crop Production performances in 31 Chinese provinces for the period 2006–2015. The results demonstrate that the EYRs in 31 Chinese provinces are entirely keeping around 1 and the maximum and minimum values of ELR are respectively 1.71 in Guizhou and 8.29 in Tibet. Under this circumstance, the mean ESI values in 30 Chinese provinces are all less than 1, except Guizhou. This indicates that most Chinese provinces will have to improve their Crop Production toward sustainable agricultural development. Then, a logarithmic Mean Divisia Index (LMDI) decomposition method was applied to identify the key driving forces that affect the evolution of ESI. The change of ESI (ΔESI) was decomposed into five factors: Scale and intensity factor (I), which depends on emergy density; Non-renewable resources factor (T), which depends on the density of non-renewable resources emergy; Productivity of labor factor (P), which depends on the productivity of labor; Renewable resources factor (E), which depends on intensity of renewable resources and number of Labor (G), which depends on labor inputs. The decomposition analysis results indicate that labor and renewable resources are the major factors affecting China's sustainable Crop Production, while other factors also have certain impacts. Such findings can provide valuable policy insights so that more appropriate Crop Production policies can be prepared by considering the local realities.

Zuoxi Liu - One of the best experts on this subject based on the ideXlab platform.

  • emergy based indicators of the environmental impacts and driving forces of non point source pollution from Crop Production in china
    Ecological Indicators, 2021
    Co-Authors: Zuoxi Liu, Shanshan Wang, Bing Xue, Yong Geng, Tianhua Yang, Huijuan Dong, Zhihong Luo, Weikun Tao, Yongyang Wang
    Abstract:

    Abstract Sustainable Crop Production is a significant challenge in China. To achieve this goal, it is necessary to evaluate environmental impacts related to the sustainable development of Crop Production by integrating scientific and practical indicators. Therefore, this study employed emergy and index decomposition analysis approaches to assess the environmental impacts of non-point source pollution and the overall performance of Crop Production in China’s 31 provinces. First, the emergy flow of emission impacts and two new indicators, the emergy sustainability index and the emergy-based pollutant-producing coefficient, were proposed to comprehensively measure Crop Production performance from 2012 to 2015. The results demonstrated that the environmental impacts of non-point source pollution (EIN) were predominantly attributed to total nitrogen and phosphorus contents and mulching film residuals, which substantially increased the total emergy used and reduced the sustainability of Crop Production in each province. The ratio of EIN plus purchased resources (F) to total emergy used (U) were consistently greater than 80% in all 31 provinces, while the ratio of local resources including the emergy of local renewable (R) and non-renewable resources (N) to the total emergy was relatively small, accounting for less than 20% in all provinces. Then, a logarithmic mean Divisia index decomposition method was applied to identify the key driving forces influencing the evolution of EIN. The decomposition analysis indicated that the economy factor had a major promoting effect on EIN growth in all provinces except Beijing and Shanghai. Intensity and technology factors had a limiting effect on EIN growth. These findings provide valuable insights for developing appropriate Crop Production policies that consider local conditions.

  • toward sustainable Crop Production in china an emergy based evaluation
    Journal of Cleaner Production, 2019
    Co-Authors: Zuoxi Liu, Bing Xue, Yong Geng, Tianhua Yang, Huijuan Dong, Yongyang Wang, Shanshan Wang
    Abstract:

    Abstract China's demand for Crop products is increasing, leading to a great deal of consumption of local resources and industrial inputs such as agricultural machineries, chemical fertilizers, pesticides and energies. Many environmental problems also occurred, such as water pollution, soil erosion and contamination, and CO2 emissions. Therefore, it is imperative to assess Crop Production's sustainability and identify the key driving forces of its rapid development so that the proper mitigation policies can be proposed. An emergy analysis method was employed due to its advantage of linking economic development with natural ecosystem service. Emergy sustainability index was chosen as the key indicator to measure Crop Production performances in 31 Chinese provinces for the period 2006–2015. The results demonstrate that the EYRs in 31 Chinese provinces are entirely keeping around 1 and the maximum and minimum values of ELR are respectively 1.71 in Guizhou and 8.29 in Tibet. Under this circumstance, the mean ESI values in 30 Chinese provinces are all less than 1, except Guizhou. This indicates that most Chinese provinces will have to improve their Crop Production toward sustainable agricultural development. Then, a logarithmic Mean Divisia Index (LMDI) decomposition method was applied to identify the key driving forces that affect the evolution of ESI. The change of ESI (ΔESI) was decomposed into five factors: Scale and intensity factor (I), which depends on emergy density; Non-renewable resources factor (T), which depends on the density of non-renewable resources emergy; Productivity of labor factor (P), which depends on the productivity of labor; Renewable resources factor (E), which depends on intensity of renewable resources and number of Labor (G), which depends on labor inputs. The decomposition analysis results indicate that labor and renewable resources are the major factors affecting China's sustainable Crop Production, while other factors also have certain impacts. Such findings can provide valuable policy insights so that more appropriate Crop Production policies can be prepared by considering the local realities.