2. Experience
2.1 Landscape Function Analysis
At Mulloon Home Farm, Luke introduced Mulloon catchment and Mulloon institution to us. Then we started our research with Forest LFA, including landscape organization assessment (LOA) and soil surface assessment (SSA). Firstly, we set up a 50m transect running directly up and down the slope and mapped patches and interpatches on this transect. We regarded the place where resources could be accumulated as patches, like grass, shrubs, logs or trees. Then we made soil surface assessment by choosing 3 points in each patch type randomly and collecting 11 indicators which can reflect soil quality. Hillslope scale data could describe physical and biological features of the landscape, and how the landscape regulate the movement and accumulation of resources (David, 2017). So, we can know the infiltration rates, sediment deposition, runoff volume and net losses of soil and organic matter caused by runoff. Then we can measure how biomass effect runoff and protect soil. We also did exotic pasture LFA, and a grassy sward represented a single patch. By …show more content…
As a rapid, inexpensive, easy and effective method and monitoring tool, it can be used to addresses the effects of disturbances that affect landscape function (Read, et al, 2016). Its Indicators can be rapidly assessed and the output presented as numbers. And LFA procedure can be used in a wide range including deserts and rain forest. However, I think there is a problem in soil surface assessment. When we measured the indicators, we just assigned indicators to the class which we think it may belong to. But we are not familiar with this method and it is always hard to decide which is the appropriate class. Besides, different individuals may have different opinion in classifying, especially when we measure soil surface texture. So, there were lack of accuracy and
2.1 Landscape Function Analysis
At Mulloon Home Farm, Luke introduced Mulloon catchment and Mulloon institution to us. Then we started our research with Forest LFA, including landscape organization assessment (LOA) and soil surface assessment (SSA). Firstly, we set up a 50m transect running directly up and down the slope and mapped patches and interpatches on this transect. We regarded the place where resources could be accumulated as patches, like grass, shrubs, logs or trees. Then we made soil surface assessment by choosing 3 points in each patch type randomly and collecting 11 indicators which can reflect soil quality. Hillslope scale data could describe physical and biological features of the landscape, and how the landscape regulate the movement and accumulation of resources (David, 2017). So, we can know the infiltration rates, sediment deposition, runoff volume and net losses of soil and organic matter caused by runoff. Then we can measure how biomass effect runoff and protect soil. We also did exotic pasture LFA, and a grassy sward represented a single patch. By …show more content…
As a rapid, inexpensive, easy and effective method and monitoring tool, it can be used to addresses the effects of disturbances that affect landscape function (Read, et al, 2016). Its Indicators can be rapidly assessed and the output presented as numbers. And LFA procedure can be used in a wide range including deserts and rain forest. However, I think there is a problem in soil surface assessment. When we measured the indicators, we just assigned indicators to the class which we think it may belong to. But we are not familiar with this method and it is always hard to decide which is the appropriate class. Besides, different individuals may have different opinion in classifying, especially when we measure soil surface texture. So, there were lack of accuracy and