Palviainen Marjo, Laurén Ari, Launiainen Samuli, Piirainen Sirpa
Department of Forest Sciences, University of Helsinki, P.O. Box 27, 00014, Helsinki, Finland.
Natural Resources Institute Finland (Luke), P.O. Box 68, 80101, Joensuu, Finland.
Ambio. 2016 Dec;45(8):933-945. doi: 10.1007/s13280-016-0789-2. Epub 2016 Jun 1.
The majority of C, N and P in boreal lakes are in organic form. Organically bound nutrients are released through biodegradation or photodegradation which affects the water quality, eutrophication and greenhouse gas emissions of lakes. We tested whether open land-use data combined with land-use-specific export coefficients can be used to predict total organic carbon (TOC), dissolved organic nitrogen (DON) and dissolved organic phosphorus (DOP) loading and lake water concentrations. Using data from 12 lake catchments in eastern Finland, we found that land use and management of the catchment explained a substantial proportion of the variations in TOC (r = 0.78), DON (r = 0.55) and DOP (r = 0.80) concentrations between lakes. The computation does not account for in-lake processes, which are reflected as mismatch between the predicted and observed concentrations. However, this simple practical approach is useful in ranking lakes according to their water quality. The results indicated that natural sources dominate TOC, DON and DOP exports; the background leachings accounted for 57-99 %, 48-96 % and 55-99 % of TOC, DON and DOP export, respectively. The proposed method has promise as a practical decision support tool for assessing the impacts of land use on water quality. The results showed that possibilities to control TOC, DON and DOP loading to surface waters are limited to catchments where the peatland proportion is low and anthropogenic sources significant.
北方湖泊中的大部分碳、氮和磷都以有机形式存在。有机结合态养分通过生物降解或光降解释放出来,这会影响湖泊的水质、富营养化和温室气体排放。我们测试了开放的土地利用数据与特定土地利用的输出系数相结合是否可用于预测总有机碳(TOC)、溶解有机氮(DON)和溶解有机磷(DOP)的负荷以及湖水浓度。利用芬兰东部12个湖泊集水区的数据,我们发现集水区的土地利用和管理在很大程度上解释了不同湖泊之间TOC(r = 0.78)、DON(r = 0.55)和DOP(r = 0.80)浓度的变化。该计算未考虑湖泊内部过程,这些过程表现为预测浓度与实测浓度之间的不匹配。然而,这种简单实用的方法在根据湖泊水质进行排名时很有用。结果表明,自然源在TOC、DON和DOP的输出中占主导地位;背景淋溶分别占TOC、DON和DOP输出的57 - 99%、48 - 96%和55 - 99%。所提出的方法有望成为评估土地利用对水质影响的实用决策支持工具。结果表明,控制地表水TOC、DON和DOP负荷的可能性仅限于泥炭地比例低且人为源显著的集水区。