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识别和评估过去人工林排水的潜在水文功能。

Identifying and assessing the potential hydrological function of past artificial forest drainage.

机构信息

Department of Forest Ecology and Management, Swedish University of Agricultural Sciences (SLU), Skogsmarksgränd, 901 83, Umeå, Sweden.

Department of Ecology and Environmental Science, Umeå University, 901 87, Umeå, Sweden.

出版信息

Ambio. 2018 Sep;47(5):546-556. doi: 10.1007/s13280-017-0984-9. Epub 2017 Nov 2.

DOI:10.1007/s13280-017-0984-9
PMID:29098602
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6072640/
Abstract

Drainage of forested wetlands for increased timber production has profoundly altered the hydrology and water quality of their downstream waterways. Some ditches need network maintenance (DNM), but potential positive effects on tree productivity must be balanced against environmental impacts. Currently, no clear guidelines exist for DNM that strike this balance. Our study helps begin to prioritise DNM by: (1) quantifying ditches by soil type in the 68 km Krycklan Catchment Study in northern Sweden and (2) using upslope catchment area algorithms on new high-resolution digital elevation models to determine their likelihood to drain water. Ditches nearly doubled the size of the stream network (178-327 km) and 17% of ditches occurred on well-draining sedimentary soils, presumably making DNM unwarranted. Modelling results suggest that 25-50% of ditches may never support flow. With new laser scanning technology, simple mapping and modelling methods can locate ditches and model their function, facilitating efforts to balance DNM with environmental impacts.

摘要

为了提高木材产量而排干林地湿地,这极大地改变了下游水道的水文和水质。一些沟渠需要网络维护(DNM),但必须权衡其对树木生产力的潜在积极影响与环境影响。目前,对于 DNM 并没有明确的指导方针来实现这种平衡。我们的研究通过以下方式帮助优先进行 DNM:(1)在瑞典北部的 Krycklan 集水区研究中按土壤类型量化沟渠,(2)使用新的高分辨率数字高程模型的上坡集水区算法来确定其排水的可能性。沟渠几乎使河流网络的大小增加了一倍(178-327 公里),并且 17%的沟渠位于排水良好的沉积土壤上,这可能使 DNM 变得没有必要。模型结果表明,25-50%的沟渠可能永远不会有水流。利用新的激光扫描技术,简单的地图绘制和建模方法可以定位沟渠并模拟其功能,从而有助于平衡 DNM 与环境影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e8f/6072640/3b6dbe04b900/13280_2017_984_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e8f/6072640/00c921a46581/13280_2017_984_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e8f/6072640/c733548d3f95/13280_2017_984_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e8f/6072640/3b6dbe04b900/13280_2017_984_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e8f/6072640/00c921a46581/13280_2017_984_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e8f/6072640/c733548d3f95/13280_2017_984_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e8f/6072640/3b6dbe04b900/13280_2017_984_Fig3_HTML.jpg

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