@article{Zhang:148893,
      recid = {148893},
      author = {Zhang, Biao and Gao, Jixi and Xie, Gaodi and Zou, Changxin  and Wang, Bin},
      title = {Benefit Assessment of Forest Function in Reducing Soil  Erosion and Nutrient Loss in Anji County of Taihu Lake  Basin},
      journal = {Asian Agricultural Research},
      address = {2013-04},
      number = {1812-2016-143788},
      pages = {5},
      year = {2013},
      abstract = {The non-point source pollution arising from soil erosion  is one of the main reasons for the deterioration of the  water quality of the Taihu Lake Basin. Forest plays an  important role in controlling soil erosion and reducing  nutrient loss. Based on the survey data on forest resources  in Anji County, we estimate the amount of soil erosion and  nutrient loss of nitrogen and phosphorus reduced by forest,  using soil erosion modulus method and soil nutrient  content. In accordance with the degradation coefficient of  pollutant and regional compensation standards of  environmental resources, we assess the ecological benefits  of forest function in reducing nutrient loss of nitrogen  and phosphorus in Anji County. The results show that the  forest in Anji County can reduce the soil erosion amount at  1.51 million t annually on the average, so as to control  the nutrient loss of 1 409 t of total nitrogen and 577 t of  total phosphorus in soil, equivalent to annually avoiding  the flow of 824 t of total nitrogen and 410 t of total  phosphorus into river water; this ecological service  function can make forests in Anji County get 92.55 million  yuan of ecological compensation funds (about 688 yuan  /hm2•a), equivalent to 15 times of the current ecological  compensation standard (47 yuan /hm2). The study reveals the  importance of forest function in controlling soil erosion  and nutrient loss in the upper reaches of Taihu Lake Basin  to water environment protection in the basin, conducive to  carrying out pollution control and protection work of the  water environment in the basin.},
      url = {http://ageconsearch.umn.edu/record/148893},
      doi = {https://doi.org/10.22004/ag.econ.148893},
}