Influences of Land Use on Sediment Pollution across Multiple Spatial Scales in Taihu Basin

2014 ◽  
Vol 43 (12) ◽  
pp. 1616-1622 ◽  
Author(s):  
Ying Cai ◽  
Dehua Zhao ◽  
Delin Xu ◽  
Hao Jiang ◽  
Mengqiu Yu ◽  
...  
2012 ◽  
Vol 51 (3) ◽  
pp. 555-570 ◽  
Author(s):  
Ge Zhang ◽  
Subhro Guhathakurta ◽  
Gang Dai ◽  
Lingying Wu ◽  
Lijiao Yan

2020 ◽  
Vol 257 ◽  
pp. 120466 ◽  
Author(s):  
Ebrahim Ahmadisharaf ◽  
Iara L. Lacher ◽  
Craig Fergus ◽  
Brian L. Benham ◽  
Thomas Akre ◽  
...  

2013 ◽  
Vol 28 (20) ◽  
pp. 5259-5272 ◽  
Author(s):  
Guoqiang Wang ◽  
Yinglan A ◽  
Zongxue Xu ◽  
Shurong Zhang

2009 ◽  
Vol 38 (4) ◽  
pp. 1473-1482 ◽  
Author(s):  
William C. Floyd ◽  
Stephen H. Schoenholtz ◽  
Stephen M. Griffith ◽  
Parker J. Wigington ◽  
Jeffrey J. Steiner

2021 ◽  
Author(s):  
Xiao Shu ◽  
Weibo Wang ◽  
Mingyong Zhu ◽  
Jilei Xu ◽  
Xiang Tan ◽  
...  

Abstract The coupling between land use/landscape pattern and water quality in river system varies across different spatial and temporal scales. It is important to understand the association between water quality and land use/landscape pattern across different spatial and temporal scales for the protection of water resources. Here, we measured seasonal water quality at 12 sub-basins in the upper reaches of the Han River (UHR) between 2010 and 2018. We conducted factor analysis and redundancy analysis to determine the links between land use and water quality at multiple spatial scales and to identify the main factors influencing water quality. We found that the concentration of nutrients, including total nitrogen, total phosphorus, nitrate-N, and ammonium-N were higher during the wet season than the dry season. Total nitrogen was identified as the main driver of nutrient pollution of UHR, whereas total phosphorus was identified as another potential nutrient pollutant. We also found that water quality parameters had a stronger related to land use types over the wet season than the dry season. Croplands and urban lands increased phosphorus concentrations of river water, whereas forest and grass lands decreased the nitrogen concentrations of river water at the sub-basins scale. Land use at riparian zone scales better explained variations in water quality than land use at sub-basin scales. The explained variations in landscape metrics were generally higher over the dry season compared to that over the wet season. The largest patch index and Shannon's diversity index were the main predictors of river water quality in UHR.


Ecohydrology ◽  
2021 ◽  
Author(s):  
Xiao Shu ◽  
Weibo Wang ◽  
Mingyong Zhu ◽  
Jilei Xu ◽  
Xiang Tan ◽  
...  

2012 ◽  
Vol 03 (03) ◽  
pp. 1250016 ◽  
Author(s):  
MADHU KHANNA ◽  
DAVID ZILBERMAN

The emergence of biofuels as an agricultural commodity has integrated the agricultural, energy and livestock sectors and expanded the scope of models being used to analyze the effects of energy policies. It has increased the importance of incorporating spatial heterogeneity in land availability and productivity and information about the biophysical and economic determinants of land use change at multiple spatial scales. Since biofuels affect food and fuel prices, they have expanded the boundaries of economic models to consider not only their direct but also their indirect effects on land use and greenhouse gas emissions. This paper describes the demand-side and supply-side determinants of these direct and indirect changes in land use and greenhouse gas emissions with biofuels. We discuss the major modeling approaches used to analyze these effects, their strengths, limitations and key findings and directions for future research.


2018 ◽  
Vol 10 (1) ◽  
pp. 3-18 ◽  
Author(s):  
Katherine S. Miller ◽  
Leonard A. Brennan ◽  
Humberto L. Perotto-Baldivieso ◽  
F. Hernández ◽  
Eric D. Grahmann ◽  
...  

Abstract The northern bobwhite Colinus virginianus has experienced range-wide declines over the past several decades, primarily due to habitat loss and habitat fragmentation. As northern bobwhite populations continue to decline, there is a need for studies that address the impact of habitat changes on population persistence at multiple spatial scales. Our goal was to assess changes in habitat and land use related to northern bobwhite declines across multiple spatial scales in Texas, Oklahoma, and Louisiana. We determined northern bobwhite trends for 1972–2012 using Breeding Bird Survey data. At the regional scale, we compared northern bobwhite population trends with road density (2000, 2012), human population (1970–2010), and land use (1974–2012). At the county and local scales, we compared class-level landscape metrics between counties with stable and declining northern bobwhite abundances using Student's t-tests. Northern bobwhite populations decreased from 45.95 ± 1.01 birds/route in 1970 to 11.55 ± 0.64 birds/route in 2012. Road density and human population increased by 3,331.32 ± 66.28 m/km2 and 42,873 ± 8,687 people/county, respectively. Percent pasture and rangeland was relatively stable, as was percent woodland. Alternatively, the percentage of other land (houses, roads, wasteland) increased. At the county scale, Texas and Oklahoma counties with declining northern bobwhite populations had higher road densities, larger patches of pasture, smaller patches of woodland, and larger patches of cropland compared with stable populations. At the local scale, Texas and Oklahoma counties with declining northern bobwhite populations had less woody cover in smaller patches, and fewer but larger patches of herbaceous and bare ground, compared with populations with stable abundance. Therefore, managers can provide woody cover and reduce cropland effects at the local scale to support stable quail populations; however, the large-scale drivers of northern bobwhite decline, which are human population growth and resulting habitat loss, will be an important aspect of northern bobwhite conservation and management in the future.


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