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在坡位空间渐变信息实际应用方面取得的进展——英文稿

已有 4241 次阅读 2012-1-12 08:59 |个人分类:科研进展|系统分类:论文交流| news, slope

Information on Spatial Gradation of Slope Positions Aids Predictive Soil Mapping In Low-relief Catchments 

 

   Spatial transitions between slope positions (e.g., shoulder slope, back slope) are often gradual, which reflect the integrative effect and transitional nature of earth surface processes over a slope. Quantification of these transitions (or spatial gradations) is important for terrain-related geographical or ecological modeling (such as modeling of soil erosion and predictive soil mapping at finer scale). Although various methods have been developed to quantify these spatial gradation using fuzzy slope positions, few studies have applied the quantitative information on fuzzy slope positions to geographical or ecological modeling.

   In a new study published in the journal Geoderma, Dr. QIN Cheng-Zhi, an associate professor of geographical information science at the State Key Laboratory of Resources & Environmental Information System, Institute of Geographic Sciences & Natural Resources Research, Chinese Academy of Sciences (LREIS, IGSNRR, CAS), and colleagues apply such quantitative information directly to predictive soil mapping in small low-relief catchments for the first time.

   The new study is based on Dr. Qin’s 2009 study published in the journal Geomorphology, in which he and his research partners developed an approach to deriving the fuzzy slope positions by using typical locations as prototypes. This approach characterizes slope position gradation in both the parameter space and the geographic space in an easy and practicable way, so the problems in former approaches can be addressed.

   In the new study Dr. QIN and his colleagues apply fuzzy slope positions of a five slope position system to mapping soil organic matter content (SOM) in a low-relief watershed in north-eastern China within a purposive sampling framework for predictive soil mapping. First, the fuzzy slope positions were used to direct purposive sampling, which determined the typical SOM value for each slope position type. Secondly, typical SOM values were combined with fuzzy slope positions to predict the spatial distribution of SOM using a weighted-average model (so-called FSPW model). Quantitative evaluation in the model-development area based on evaluation points show that the performance of the FSPW model with five modeling points from purposive sampling compares favourably with the result from a multiple linear regression (MLR) model with 48 modeling points. Quantitative assessment based on a validation set of 102 sample points in the nearby, larger model-extrapolation area shows that the FSPW model performs better and more portable than the MLR model. The new study suggests that the fuzzy slope positions are useful in aiding predictive soil mapping.

 

1.    Qin C-Z, A-X Zhu, W-L Qiu, et al. Mapping soil organic matter in small low-relief catchments using fuzzy slope position information. Geoderma, 2011, doi: 10.1016/j.geoderma.2011.06.006.

2.    Qin C-Z, A-X Zhu, X Shi, et al. Quantification of spatial gradation of slope positions. Geomorphology, 2009, 110: 152-161.

 
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P.S. 上面是应邀对前两天写的“在坡位空间渐变信息实际应用方面取得的进展”中文报导写的英文稿,按照建议从标题、写法等方面参考了AAAS科研进展新闻的写法。头一次写这样的英文文体,一些新闻稿的表述方式还是不太一样。包括内容组织都没有完全按中文稿的方式——中文可以一个段落就是一句话,一大堆逗号分隔,连贯说完一层按逻辑组织的意思。而英文就不行了(至少我写不来),一句就是一个点,几个点按衔接顺序合到一起才能完成一层意思的逻辑组织。所以如果按中文硬译,英文句子间逻辑就乱了。
    这篇稿子经编辑修改后推介到了中科院英文网站的科研进展报导栏目上(http://english.cas.cn/ST/RE/re_project/201201/t20120110_80714.shtml)。


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