Local spatial modeling of paddy soil landscape patterns in response to urbanization across the urban agglomeration around Hangzhou Bay, China

Xiao, Rui; Su, Shiliang; Wang, Junqi; Zhang, Zhonghao; Jiang, Diwei; Wu, Jiaping

doi:10.1016/j.apgeog.2013.01.002

Cited by 44 publications

(25 citation statements)

References 35 publications

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“…MLR model coefficients can provide global information; one variable has the same influence on SOC in the entire study area. RK is a hybrid approach that combines drift and kriged residuals; thus, it produces more accurate results in comparison to MLR (Kumar and Lal, 2011;Xiao et al, 2013).…”

Section: Introductionmentioning

confidence: 98%

Comparing geospatial techniques to predict SOC stocks

Liu

Guo

Jiang

et al. 2015

Soil and Tillage Research

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Section: Introductionmentioning

confidence: 98%

Comparing geospatial techniques to predict SOC stocks

Liu

Guo

Jiang

et al. 2015

Soil and Tillage Research

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“…The efficiency of the landscape metrics used in the present work to describe soil landscape patterns has been demonstrated in previous studies [14, 19]. In view of these studies, and in order to minimize redundancy among landscape metrics, we selected five landscape-level metrics from the above four categories: patch density (PD), edge density (ED), area-weighted mean shape index (SHAPE_AM), aggregation index (AI), and Shannon’s diversity index (SHDI) (Table 1).…”

Section: Methodsmentioning

confidence: 62%

Soil Landscape Pattern Changes in Response to Rural Anthropogenic Activity across Tiaoxi Watershed, China

et al. 2016

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Soil sealing (loss of soil resources due to extensive land covering for the purpose of house building, road construction etc.) and subsequent soil landscape pattern changes constitute typical environmental problems in many places worldwide. Previous studies concentrated on soil sealing in urbanized regions, whereas rural areas have not been given sufficient attention. Accordingly, this paper studies soil landscape pattern dynamics (i.e., landscape pattern changes in response to rural anthropogenic activities) in the Tiaoxi watershed (Zhejiang province, eastern China), in which surface sealing is by far the predominant component of human forcing with respect to environmental change. A novel approach of quantifying the impacts of rural anthropogenic activities on soil resources is presented. Specifically, quantitative relationships were derived between five soil landscape pattern metrics (patch density, edge density, shape index, Shannon’s diversity index and aggregation index) and three rural anthropogenic activity indicators (anthropogenic activity intensity, distance to towns, and distance to roads) at two landscape block scales (3 and 5 km) between 1985 and 2010. The results showed that the Tiaoxi watershed experienced extensive rural settlement expansion and high rates of soil sealing. Soil landscapes became more fragmented, more irregular, more isolated, and less diverse. Relationships between soil landscape pattern changes and rural anthropogenic activities differed with the scale (spatial and temporal) and variable considered. In particular, the anthropogenic activity intensity was found to be the most important indicator explaining social development intensity, whereas the other two proximity indicators had a significant impact at certain temporal interval. In combination with scale effects, spatial dependency (correlation) was shown to play a key role that should be carefully taken into consideration in any relevant environmental study. Overall, the findings of this work suggest that soil sealing can be a critical human forcing issue with considerable consequences deserving serious attention by the experts, the public and the government alike.

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“…Owing to inaccurate location recognition and scanty wireless communication infrastructure, however, they have ended up in failure. In addition, for most Chinese domestic ports, the final location of a crane can be checked by crane operator's input, consequently lowering the accuracy of input data, and in case of transfer equipment, it is almost impossible to conduct location tracking [25]. Therefore, transfer crane for an operation completion notice and an automatic sensor for operations to be done on yard tractor are necessary.…”

Section: Discussionmentioning

confidence: 99%

Modelling and Simulation Methodology for Dynamic Resources Assignment System in Container Terminal

2016

Polish Maritime Research

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Local spatial modeling of paddy soil landscape patterns in response to urbanization across the urban agglomeration around Hangzhou Bay, China

Cited by 44 publications

References 35 publications

Comparing geospatial techniques to predict SOC stocks

Comparing geospatial techniques to predict SOC stocks

Soil Landscape Pattern Changes in Response to Rural Anthropogenic Activity across Tiaoxi Watershed, China

Modelling and Simulation Methodology for Dynamic Resources Assignment System in Container Terminal

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