A method for the use of landscape metrics in freshwater research and management

Kearns, Faith R.; Kelly, N. Maggi; Carter, James L.; Resh, Vincent H.

doi:10.1007/s10980-004-2261-0

Cited by 76 publications

(33 citation statements)

References 31 publications

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“…watershed) or at multiple spatial scales (e.g. Sandin and Johnson 2004;Kearns et al 2005;Compin and Céréghino 2007;. In our study, there was no distinguishable difference in the importance of local versus watershed-scale variables on invertebrate diversity patterns.…”

Section: Determinants Of Diversity Gradients In the Usacontrasting

confidence: 57%

Richness gradients of stream invertebrates across the USA: taxonomy- and trait-based approaches

Bêche

Statzner

2009

Biodivers Conserv

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International audienceLarge-scale diversity patterns in relationship to environmental factors at multiple spatial scales have been well-studied for many taxonomic groups; however, freshwater ecosystems remain understudied. Biodiversity is now widely recognized to encompass many more factors than just species numbers, particularly the inclusion of functional attributes. In this study, we examined richness patterns of stream invertebrate genera and their biological traits ("functional" richness) across 364 sites in the contiguous USA. In particular, we focused on the relationship between taxonomy- and trait-based richness to test for functional redundancy in stream communities. Further, we obtained environmental data to model the relative importance of local and watershed-scale environmental factors and residual spatial (latitude, longitude) influences on taxonomy- and trait-based richness. Trait richness increased linearly with genus richness (slope ≪ 1), although this appears to be an artifact of the restricted range of genus richness in our study (32 genera maximum). Furthermore, trait richness was significantly lower than expected under random community assembly. In contrast, the Ephemeroptera, Plecoptera, and Trichoptera (EPT) genera exhibited a saturating pattern between trait and genus richness and trait richness was no different from random. Our study indicates that there is functional redundancy among stream invertebrate genera, likely as a result of harsh habitat filters limiting trait diversity. Environmental factors (including spatially structured environmental factors) were always more important than spatial factors (latitude, longitude) in structuring richness despite strong longitudinal patterns of all richness measures (these differences were only significant for EPT genera). Finally, we found no significant difference in the relative importance of local and watershed scale environmental factors for taxonomy- and trait-based richness

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Section: Determinants Of Diversity Gradients In the Usacontrasting

confidence: 57%

Richness gradients of stream invertebrates across the USA: taxonomy- and trait-based approaches

Bêche

Statzner

2009

Biodivers Conserv

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“…Following on from that, those landscape metrics that indicated either a high correlation with area or a high standard error were excluded from further study. This will be resulted in eradication of the redundant landscape metrics and narrowing the field to a smaller set of specific metrics, since there are many landscape metrics that have been developed using the landscape area (Kearns et al 2005). Although the Patch Analyst 3.1 provides numerous landscape metrics and they can be used to quantify the landscape structure, some of them are redundant for applying in explaining the variations in river water quality variables.…”

Section: Discussionmentioning

confidence: 99%

Modeling the Linkage Between River Water Quality and Landscape Metrics in the Chugoku District of Japan

Amiri

Nakane

2008

Water Resour Manage

133

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The present study was conducted using secondary database, remote sensing, geographical information system (GIS) and multivariate analysis tools in order to develop Multiple Linear Regression (MLR) models that could be able to predict level of water quality variables using compositional and spatial attributes of land cover in the river basins. The study encompasses 21 river basins with 32 000 Km 2 area, located in the Chugoku district in West Japan. Biological Oxygen Demand (BOD), pH, Dissolved Oxygen (DO), Suspended Solid (SS), Total Nitrogen (TN), and Total Phosphorus (TP) were considered as water quality variables of the stream. Satellite data was used to generate the land cover map of the study area. MLR models were developed using the compositional (%) and spatial attributes (landscape metrics) of the land cover at watershed and class levels for representing the land cover-stream water quality linkage. The results of the MLR modeling using the land cover data at the class level revealed that 92%, 74% and 62% of the total variations in concentration of DO, pH and TP were explained by changes in the measure of the spatial attributes of the land cover at the class level in the study area. These models can help local and regional land managers to understand the relationships between the compositional attribute (%) and the spatial features of the land cover and river water quality and would be applied in formulating plan for watershed-level management.

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“…Therefore there is increasing demand for indicators and methods that make it possible to evaluate the landscape factors influencing water quality in freshwater management (Griffith, 2002). Several studies have attempted to determine the relationship between land use/land cover structure and water quality but most studies have largely relied on compositional landscape metrics (Kearns et al, 2005). It is, however, clearly important to understand not only the total area of sources and sinks in the landscape, but also their spatial arrangement relative to flowpaths (Gergel, 2005).…”

Section: Estimating Water Qualitymentioning

confidence: 99%

Landscape Metrics and Indices: An Overview of Their Use in Landscape Research

Uuemaa¹,

Antrop²,

Roosaare³

et al. 2009

Living Rev. Landscape Res.

311

178

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The aim of this overview paper is to analyze the use of various landscape metrics and landscape indices for the characterization of landscape structure and various processes at both landscape and ecosystem level. We analyzed the appearance of the terms landscape metrics/indexes/indices in combination with seven main categories in the field of landscape ecology [1) use/selection and misuse of metrics, 2) biodiversity and habitat analysis; 3) water quality; 4) evaluation of the landscape pattern and its change; 5) urban landscape pattern, road network; 6) aesthetics of landscape; 7) management, planning and monitoring] in the titles, abstracts and/or key words of research papers published in international peer-reviewed scientific journals indexed by the Institute of Science Information (ISI) Web of Science (WoS) from 1994 to October 2008. Most of the landscape metrics and indices are used concerning biodiversity and habitat analysis, and also the evaluation of landscape pattern and its change (up to 25 articles per year). There are only a few articles on the relationships of landscape metrics/indices/indexes to social aspects and landscape perception.

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A method for the use of landscape metrics in freshwater research and management

Cited by 76 publications

References 31 publications

Richness gradients of stream invertebrates across the USA: taxonomy- and trait-based approaches

Richness gradients of stream invertebrates across the USA: taxonomy- and trait-based approaches

Modeling the Linkage Between River Water Quality and Landscape Metrics in the Chugoku District of Japan

Landscape Metrics and Indices: An Overview of Their Use in Landscape Research

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