Scale dependence of landscape metrics and their indicatory value for nutrient and organic matter losses from catchments

Uuemaa, Evelyn; Roosaare, Jüri; Mander, Ülo

doi:10.1016/j.ecolind.2005.03.009

Cited by 201 publications

(115 citation statements)

References 46 publications

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“…We did not test whether landscape metrics could better explain the configuration effect at the cell level within a single watershed or for similar landscape compositions. However, previous research on the correlation between landscape metrics and sediment retention showed that the results were dependent on the land cover map used (Uuemaa et al 2005) highlighting that caution should be applied in using landscape metrics to account for configuration effects. Alternatively, to capture the complex and variable effect of configuration on these ESs we suggest to map ES capacity using spatially explicit modelling frameworks that account for configuration (e.g.…”

Section: Consequences For Mapping Es Capacitymentioning

confidence: 90%

“…A preliminary analysis showed that patch density is highly correlated with edge density. Previous research showed that edge density is a good predictor of sediment retention (Uuemaa et al 2005;Liu et al 2012). Correlations with many more landscape metrics could have been tested, but we decided to only select three metrics that are readily explained, and hence can serve to draft hypotheses on the relation between configuration and ES capacity.…”

Section: Comparing Es Composition and Configuration Modelsmentioning

confidence: 99%

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Effects of landscape configuration on mapping ecosystem service capacity: a review of evidence and a case study in Scotland

et al. 2016

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Context Humans structure landscapes for the production of food, fibre and fuel, commonly resulting in declines of non-provisioning ecosystem services (ESs). Heterogeneous landscapes are capable of providing multiple ESs, and landscape configuration-spatial arrangement of land cover in the landscape-is expected to affect ES capacity. However, the majority of ES mapping studies have not accounted for landscape configuration. Objectives Our objective is to assess and quantify the relevance of configuration for mapping ES capacity. A review of empirical evidence for configuration effects on the capacity of ten ESs reveals that for four ESs configuration is relevant but typically ignored in ES quantification. For four ESs we quantify the relevance of configuration for mapping ESs using Scotland as a case study. Methods Each ES was quantified through modelling, respectively ignoring or accounting for configuration. The difference in ES capacity between the two ES models was determined at multiple spatial scales. Results Configuration affected the capacity of all four ESs mapped, particularly at the cell and watershed scale. At the scale of Scotland most local effects averaged out. Flood control and sediment retention responded strongest to configuration. ESs were affected by different aspects of configuration, thus requiring specific methods for mapping each ES. Conclusions Accounting for configuration is important for the assessment of certain ESs at the cell and watershed scale. Incorporating configuration in landscape management provides opportunities for spatial optimization of ES capacity, but the diverging response of ESs to configuration suggests that accounting for configuration involves trade-offs between ESs.

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Section: Consequences For Mapping Es Capacitymentioning

confidence: 90%

Section: Comparing Es Composition and Configuration Modelsmentioning

confidence: 99%

Effects of landscape configuration on mapping ecosystem service capacity: a review of evidence and a case study in Scotland

et al. 2016

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“…CONTAG and PRD are negatively correlated with nitrogen variables, reflecting the effects of landscape dispersion and diversity on river nitrogen. A landscape in which patch types are well interspersed will have low CONTAG (McGarigal et al, 2012), which can increase nitrogen pollution by frequent human activities (Uuemaa et al, 2005). Generally, landscape scale effects on river nitrogen pollution would take a long time to become apparent.…”

Section: Effects Of Landscape Metrics On Nitrogen Pollutionmentioning

confidence: 99%

“…The possible sources of nitrogen in rivers thus include synthetic fertilizer, domestic sewage/manure, soil organic matter, and atmospheric deposition. The main factor influencing the nitrogen runoff in watersheds is landscape structure, especially land-use composition and its spatial configuration (Uuemaa et al, 2005). Land-use composition not only affects the watershed hydrological system but also closely relates to nitrogen inputs (Wang et al, 2014).…”

mentioning

confidence: 99%

“…Because river nitrogen pollution is induced by the changes of land-use patterns (Mattikalli and Richards, 1996;Uuemaa et al, 2005;Lee et al, 2009;Bu et al, 2014;Wilson, 2015), most studies have focused on the relationships between land use and riverine nitrogen (Bahar et al, 2008;Wang et al, 2014). Researchers seldom use isotope mixing models to link nitrogen sources and loadings from land use types and structure in watersheds.…”

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confidence: 99%

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Effects of land-use patterns on in-stream nitrogen in a highly-polluted river basin in Northeast China

Zhang

Meng

et al. 2016

Science of The Total Environment

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• Land-use types were correlated well with most nitrogen variables over seasons.• Built-up land dominated in predicting nitrogen variables during different seasons.• Shape metrics predicted most nitrogen variables in different seasons.• Nitrogen sources and their contributions were estimated using nitrate isotopes.• Domestic sewage mainly contributed to river nitrogen pollution in residence zone. This study investigated the effects of land-use patterns on nitrogen pollution in the Haicheng River basin in Northeast China during 2010 by conducting statistical and spatial analyses and by analyzing the isotopic composition of nitrate. Correlation and stepwise regressions indicated that land-use types and landscape metrics were correlated well with most river nitrogen variables and significantly predicted them during different sampling seasons. Built-up land use and shape metrics dominated in predicting nitrogen variables over seasons. According to the isotopic compositions of river nitrate in different zones, the nitrogen sources of the river principally originated from synthetic fertilizer, domestic sewage/manure, soil organic matter, and atmospheric deposition. Isotope mixing models indicated that source contributions of river nitrogen significantly varied from forested headwaters to densely populated towns of the river basin. Domestic sewage/manure was a major contributor to river nitrogen with the proportions of 76.4 ± 6.0% and 62.8 ± 2.1% in residence and farmland-residence zones, respectively. This research suggested that regulating built-up land uses and reducing discharges of domestic sewage and industrial wastewater would be effective methods for river nitrogen control. G R A P H I C

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Seasonal Water Quality Upstream of Dahuofang Reservoir, China – the Effects of Land Use Type at Various Spatial Scales

Chen

et al. 2014

CLEAN Soil Air Water

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Inappropriate land use is considered a main factor in the deterioration of water quality. The relationship between land use and water quality (RLW) is complex, so the exploration of how seasonal water quality is affected by land use at various spatial scales can benefit our understanding of the RLW. We examined data for 110 sampling sites upstream of Dahuofang Reservoir in China. RLWs in three seasons and at three spatial scales were analyzed via Spearman's rank correlation coefficient. After excluding unreliable data attributed to point source pollution and spatial autocorrelation, we found that land use in the riparian zone within 100 m of the river was correlated with water quality during the rainy season. Taking into account the influences of spatial pattern of the land use on water quality, breakpoint regression analysis indicated that when fragmented forest land covers more than 37% of the local riparian zone, the deterioration of water quality will be mitigated, in contrast water pollution would be exacerbated when un-fragmented dry farmland exceeds 54%. Therefore, when analyzing RLW, selection of the appropriate spatial scale and season as well as improvement of land use patterns can facilitate rational and effective basin management.

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Scale dependence of landscape metrics and their indicatory value for nutrient and organic matter losses from catchments

Cited by 201 publications

References 46 publications

Effects of landscape configuration on mapping ecosystem service capacity: a review of evidence and a case study in Scotland

Effects of landscape configuration on mapping ecosystem service capacity: a review of evidence and a case study in Scotland

Effects of land-use patterns on in-stream nitrogen in a highly-polluted river basin in Northeast China

Seasonal Water Quality Upstream of Dahuofang Reservoir, China – the Effects of Land Use Type at Various Spatial Scales

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