Landscape metrics as indicators of river water quality at catchment scale

Uuemaa, Evelyn; Roosaare, Jüri; Mander, Ülo

doi:10.2166/nh.2007.002

Cited by 99 publications

(76 citation statements)

References 26 publications

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“…The influence of landscape structure is confined by factors of composition, illustrated by a complex factor of edge density and agricultural land use being a good predictor of nitrogen loss [63]. A combination, including edge density, Mean Shape index, contagion, proportion of natural area, the proportion of agricultural land use, the proportion of bogs and mires and the proportion of urban land use, was recorded as the best determinant function of nitrogen transport (Table 1).…”

Section: Landscape Factors Of Nitrogen Transportmentioning

confidence: 99%

“…34 Uuemaa et al [55] Amount of riparian buffers 0. 63 Jones et al [11] Topography index (incl. soil) 0.95 Agnew et al [53] Soil moisture 0.89 Young and Briggs [54] Road density (ammonia) 0.50 Jones et al [11] Landscape pattern factors Contagion 0.…”

Section: Landscape Factors Of Phosphorus Transportmentioning

confidence: 99%

“…38 Uuemaa et al [55] Edge density 0.31 Uuemaa et al [55] Flow path length 0.83 Doody et al [64] Combination of composition and pattern factors Edge density + agricultural land use 0. 42 Uuemaa et al [63] Edge density + Mean Shape index + contagion + proportion of natural area + proportion of agricultural land use + proportion of bogs and mires + proportion of urban land use 0. 70 Uuemaa et al [63] In superaquatic conditions (even ground and the presence of natural and seminatural vegetation), plants take up a mean of 3.4-10.0 kgP*ha -1 *y -1 [16,31].…”

Section: Landscape Factors Of Phosphorus Transportmentioning

confidence: 99%

“…42 Uuemaa et al [63] Edge density + Mean Shape index + contagion + proportion of natural area + proportion of agricultural land use + proportion of bogs and mires + proportion of urban land use 0. 70 Uuemaa et al [63] In superaquatic conditions (even ground and the presence of natural and seminatural vegetation), plants take up a mean of 3.4-10.0 kgP*ha -1 *y -1 [16,31]. Depending on these conditions, plant uptake can be up to 13.1 kgP*ha -1 *y -1 [31].…”

Section: Landscape Factors Of Phosphorus Transportmentioning

confidence: 99%

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Landscape factors of nutrient transport in temperate agricultural catchments

Pärn¹,

Mander²

2007

WIT Transactions on Ecology and the Environment, Vol 104

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The influence of landscape factors on nutrient fluxes is highly variable, depending on which fluxes dominate and vary in the subject catchment. Watersheds where the input is the most variable source, soil qualities, the proportion of certain land uses, proximity to the water body and runoff determine nutrient transport. In catchments, where variation in chemical and physical conduits and barriers determines the flows, the factors of the landscape pattern also explain the differences in nutrient losses.Nitrogen, apart from other nutrients, is better determined by factors of agriculture and the qualities of the soil. Due to the relevance of anaerobic conditions in denitrification, one of the specifically important factors is water regime. It has been proposed that the greatest variance among nitrogen losses occurs in small catchments (<5000ha). Attention to that should help address issues of scale in nutrient transport research.Phosphorus is more strongly connected with physical factors, especially flow conduits and barriers. There is a well established link with the amount of riparian buffers. The proportion of urban land use also has a relatively great influence.

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Section: Landscape Factors Of Nitrogen Transportmentioning

confidence: 99%

Section: Landscape Factors Of Phosphorus Transportmentioning

confidence: 99%

Section: Landscape Factors Of Phosphorus Transportmentioning

confidence: 99%

Section: Landscape Factors Of Phosphorus Transportmentioning

confidence: 99%

See 2 more Smart Citations

Landscape factors of nutrient transport in temperate agricultural catchments

Pärn¹,

Mander²

2007

WIT Transactions on Ecology and the Environment, Vol 104

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“…The land use types of the river basin have been gradually transformed to agricultural or urban land from natural vegetation due to human activities, which caused the degradation of water environmental quality finally (Amiri and Nakane, 2009;Gao et al, 2004;Johnson et al, 1997;Mou et al, 2004;Uuemaa et al, 2007). Under the condition of point-source pollution has been effectively controlled, non-point source pollution from agricultural land use and private rural land has become one of the most important issues for the management of freshwater worldwide because of its extensive and uncertainty (Duncan, 2014;Short, 2013;Zhang et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Land use transitions and their effects on water environment in Huang-Huai-Hai Plain, China

et al. 2015

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a b s t r a c tThis paper analyzes the spatio-temporal dynamic patterns of land use in Huang-Huai-Hai Plain, one of the China's most important grain production bases experiencing rapid urban-rural transformation development, using high-resolution Landsat TM (Thematic Mapper) data and series data of water environmental quality monitoring in 2000 and 2010, and related socio-economic data from government departments. After assessing the change of water environmental quality of Huang-Huai-Hai Plain during 2000-2010, three spatial econometric regression models including Spatial Lag Model (SLM), Spatial Error Model (SEM) and ordinary least squares (OLS) are used to explore the correlationships between land use transitions and water environmental changes. The outcomes indicated that, during the research period, land use pattern changes in the study area were characterized by the loss of large quantities of farmland and the increase of construction land and water body. On the whole, the water environment in the study area was obviously improved, but there also existed partial deterioration as evidenced by the increase of monitoring sections with water environmental quality below Class V. In general, the increases of grassland, forested land and water body have positive effects on water environmental quality while farmland and construction land have negative effects on that. The authors argue that construction land use and farmland use have almost equal negative effects on water environmental quality, and managing agricultural non-point source pollution is pivotal to improve local water environmental quality. Finally, some of the major implications for managing the land and water resources in the plain areas of China as well as other developing countries undergoing rapid urban-rural transformation development are discussed in the aspects of ecological farming practices, rural construction land management, land use planning and urban planning.

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Influences of watershed landscape composition and configuration on lake‐water quality in the Yangtze River basin of China

Liu

Zhang

Liu

2011

Hydrological Processes

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Lake-water quality is highly dependent on the landscape characteristics in its respective watershed. In this study, we investigated the relationships between lake-water quality and landscape composition and configuration within the watershed in the Yangtze River basin of China. Water quality variables, including pH, electrical conductivity (EC), dissolved oxygen (DO), Secchi depth (SD), NO 2 , NO 3 , NH 4 C , TN, TP, chemical oxygen demand (COD Mn ), chlorophyll-a (Chl-a), and trophic state index (TSI), were collected from 16 lakes during the period of 2001-2003. Landscape composition (i.e. the percentage of vegetation, agriculture, water, urban, and bare land) and landscape configuration metrics, including number of patches (NP), patch density (PD), largest patch index (LPI), edge density (ED), mean patch area (MPA), mean shape index (MSI), contagion (CONTAG), patch cohesion index (COHESION), Shannon's diversity index (SHDI), and aggregation index (AI), were calculated for each lake's watershed. Results revealed that the percentage of agriculture was negatively related to NO 2 , TN, TP, Chl-a concentrations, and TSI, while the percentage of urban was significantly correlated with EC, NH 4 C , and COD Mn concentrations. Among landscape-level configuration metrics, only ED showed significant relationships with TN, TP concentrations, and TSI. However, at the class level, the PD, LPI, ED, and AI of agriculture and urban land uses were significantly correlated with two or more water quality variables. This study suggests that, for a given total area, large and clustered agricultural or urban patches in the watershed may have a greater impact on lake-water quality than small and scattered ones.

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Landscape metrics as indicators of river water quality at catchment scale

Cited by 99 publications

References 26 publications

Landscape factors of nutrient transport in temperate agricultural catchments

Landscape factors of nutrient transport in temperate agricultural catchments

Land use transitions and their effects on water environment in Huang-Huai-Hai Plain, China

Influences of watershed landscape composition and configuration on lake‐water quality in the Yangtze River basin of China

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