Energy Flow Analysis Of Grassland And Cattle Ecosystem In Jiangxi Province

Agro-ecosystem is an important system to adjust and optimize the relationship between rural resources and environment,farmers’economic benefits and social development.Jiangxi Province has the characteristics of sufficient heat,abundant rainfall,long frost-free period,and basically the same season of rain and heat.It is especially suitable for the development of vegetative agriculture.At the same time,it has many advantages such as rich grassland and agricultural and sideline product resources.The development of the circular agricultural model of planting grass and raising cattle is here.Unique congenital conditions.This paper takes beef cattle farms located in Ji’an City,Ganzhou City,Yichun City and Pingxiang City in Jiangxi Province as the research object.A series of indicators such as inorganic energy,energy conversion rate,light energy utilization rate,and energy flow cycle index were measured and compared to explore the energy flow characteristics of the grass-planting and cattle-raising model in Jiangxi Province.The circular agricultural production mode of planting grass and raising cattle can not only improve the circulation efficiency of energy and self-use efficiency of resources,but also reduce the environmental pollution caused by the waste generated in the breeding process.The results show that the total investment energy of the system is 1904.018±859.432×10¹² J/a;the total production capacity is 22.394±7.833×10¹²J/a;the input energy of the first production layer（planting link）is 2157.925±943.301×10¹² J/a;the production capacity is 33.171±19.778×10¹² J/a.The input energy of the second production layer（breeding link）is 46.726±21.493×10¹² J/a;the production capacity is 15.562±5.499×10¹² J/a.Through the analysis of the relationship between the total energy input and the total energy output and the energy conversion rate of the system,it can be concluded that the more the total energy input,the more the total energy output of the grazing cattle mode,and the correlation between the two is extremely significant（r=0.959,P<0.01）.The total energy input of the system is negatively correlated with the energy conversion efficiency,but there is no significant correlation between the two（r=-0.577,P>0.05）.To some extent,the more the total energy input,the lower the energy conversion rate will be.By analyzing the correlation between the input of exogenous energy of the first production layer and its own total output,the second production layer and the total output of the system and the energy conversion rate,it is concluded that exogenous energy of the first production layer is positively correlated with its own total output,and the correlation between them is extremely significant（r=0.951,P<0.01）.It was positively correlated with the total productivity of the second production layer（r=0.883,P<0.01）.It is also positively correlated with the total system capacity,and the correlation between them is extremely significant（r=0.964,P<0.01）.In the first production layer,exogenous energy was positively correlated with its own energy conversion,but there was no significant correlation（r=0.733,P>0.05）.There was a negative correlation with the energy conversion rate of the second production layer,but no significant correlation（r=-0.249,P>0.05）.It was negatively correlated with the energy conversion rate of the system,but had no significant correlation（r=-0.499,P>0.05）.Through the correlation analysis of the exogenous energy input of the second production layer to its own,the first production layer,the total output of the system and the energy conversion rate,it is concluded that the exogenous energy of the second production layer is positively correlated with the total output of the first production layer,and the correlation is significant（r=0.856,P<0.05）.There was also a positive correlation with the total energy yield（r=0.970,P<0.01）.It was positively correlated with the total system capacity（r=0.897,P<0.01）.There was a negative correlation between exogenous energy and energy conversion rate of the second production layer,but no significant correlation（r=-0.03,P>0.05）.There was a positive correlation with the energy conversion rate of the first production layer,but no significant correlation（r=0.593,P>0.05）.It was positively correlated with the energy conversion rate of the system,but had no significant correlation（r=0.008,P>0.05）.