Weak relationships between landscape characteristics and multiple facets of stream macroinvertebrate biodiversity in a boreal drainage basin

Heino, Jani; Mykrä, Heikki; Kotanen, Juho

doi:10.1007/s10980-008-9199-6

Cited by 63 publications

(58 citation statements)

References 48 publications

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“…Bhat and Magurran (2006) did not detect predictable responses in fish communities experiencing gradients of anthropogenic impact. Heino et al (2007Heino et al ( , 2008 demonstrated that taxonomic distinctness was weakly related to landscape metrics. On the other hand, Mouillot et al (2005) and Gallardo et al (2011) found a clear relationship between taxonomic distinctness and organic enrichment.…”

Section: Discussionmentioning

confidence: 99%

The taxonomic distinctness of macroinvertebrate communities of Atlantic Forest streams cannot be predicted by landscape and climate variables, but traditional biodiversity indices can

et al. 2014

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Predicting how anthropogenic activities may influence the various components of biodiversity is essential for finding ways to reduce diversity loss. This challenge involves: a) understanding how environmental factors influence diversity across different spatial scales, and b) developing ways to measure these relationships in a way that is fast, economical, and easy to communicate. In this study, we investigate whether landscape and bioclimatic variables could explain variation in biodiversity indices in macroinvertebrate communities from 39 Atlantic Forest streams. In addition to traditional diversity measures, i.e., species richness, abundance and Shannon index, we used a taxonomic distinctness index that measures the degree of phylogenetic relationship among taxa. The amount of variation in the diversity measures that was explained by environmental and spatial variables was estimated using variation partitioning based on multiple regression. Our study demonstrates that taxonomic distinctness does not respond in the same way as the traditional used in biodiversity studies. We found no evidence that taxonomic distinctness responds predictably to variation in landscape metrics, indicating the need for the incorporation of predictors at multiple scales in this type of study. The lack of congruence between taxonomic distinctness and other indices and its low predictability may be related to the fact that this measure expresses long-term evolutionary adaptation to ecosystem conditions, while the other traditional biodiversity metrics respond to short-term environmental changes.Keywords: biomonitoring, diversity indices, spatial structure, taxonomic diversity. A distinção taxonômica de comunidades de macroinvertebrados de córregos da Mata Atlântica não pode ser previsto pela paisagem e por variáveis climáticas, mas os índices de biodiversidade tradicional podem ResumoPrever como as atividades antrópicas podem influenciar os vários componentes da biodiversidade é essencial para encontrar maneiras de reduzir a perda de diversidade. Este desafio envolve: a) a compreensão de como os fatores ambientais influenciam a diversidade em diferentes escalas espaciais e, b) desenvolver formas de medir essas relações de uma maneira rápida, econômica e de fácil comunicação. Neste estudo, nós investigamos se a paisagem e as variáveis bioclimáticas podem explicar a variação nos índices de biodiversidade em comunidades de macroinvertebrados de 39 riachos de Mata Atlântica. Adicionalmente às medidas tradicionais de diversidade, por ex.: riqueza de espécies, abundância e índice de Shannon, nos utilizamos índice de distinção taxonômica que mede o grau de relação filogenética dentre os taxa. A quantidade de variação nas medidas de diversidade que foi explicado por variáveis ambientais e espaciais foi estimada utilizando a variação particionada baseada em regressão múltipla. O presente estudo demonstraBraz.

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Section: Discussionmentioning

confidence: 99%

The taxonomic distinctness of macroinvertebrate communities of Atlantic Forest streams cannot be predicted by landscape and climate variables, but traditional biodiversity indices can

et al. 2014

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“…Consequently, the use of multimetric measures is recommended for conservation assessments. In contrast, other studies showed that the correlation between measures might also be very strong using whole invertebrate communities (Heino et al, 2007(Heino et al, , 2008 or single taxa (Schmera, 2003). The positive correlations between the number of alien and native species, and between the number of alien and red-list species suggest that the most valuable sites are threatened by alien species, because synergistic interactions between alien species might negatively influence native communities (Simberloff & Von Holle, 1999;Johnson et al, 2009).…”

Section: Discussionmentioning

confidence: 92%

Testing a typology system of running waters for conservation planning in Hungary

Schmera

Baur

2011

Hydrobiologia

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Landscape and site classifications are increasingly being used in conservation planning and biodiversity management. We examined the utility of a simple typology system for predicting the conservation value of running-water sites in Hungary using aquatic invertebrates. Aquatic invertebrates (444 species) were collected by kick and sweep sampling technique, in a few cases also with a net, at 317 running-water sites covering the entire area of Hungary. On the basis of three criteria (naturalness, altitude and size of catchment area) we obtained a typology scheme distinguishing five running-water types: artificial lowland stream, natural highland river, natural highland stream, natural lowland river and natural lowland stream. We expressed the conservation value of each site using the numbers of native species, unique native species, redlist species, protected species and alien species.Furthermore, the conservation value of each river type was expressed by a measure of beta diversity. Our results show that any interpretation of the effect of a single criterion might be misleading. Consequently, the use of the whole typology system is recommended. The study revealed that all stream types are valuable to a certain extent because they maintain distinct biological communities. We found that the conservation value of artificial watercourses is comparable to that of natural running-water sites. We identified that natural lowland rivers and artificial lowland streams are the ones mostly exposed to species invasions. These findings are essential in maintaining and protecting conservation values of any freshwater ecosystem, and may contribute to management decisions on running waters in Hungary.

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“…Further, to be most useful, aquatic biodiversity assessment models need to be rapidly developed, cost-efficient, and accurate [18][19][20]. Predictive models based on landscape variables derived using geographic information systems (GIS) are thus useful [21] for directing management and conservation efforts by natural resource planners [18,22] especially in areas where field data collections have not been completed or are difficult to perform [23][24][25].…”

Section: Introductionmentioning

confidence: 99%

“…Benthic macroinvertebrates account for much of the biodiversity in stream ecosystems as they are diverse in terms of number of species and possess numerous functional roles in aquatic environments [21,41,42]. Further, they have been positively correlated with other measures of biodiversity [21,43] making them an ideal group for stream biotic richness prediction as an indicator of overall biodiversity.…”

Section: Introductionmentioning

confidence: 99%

“…Further, they have been positively correlated with other measures of biodiversity [21,43] making them an ideal group for stream biotic richness prediction as an indicator of overall biodiversity. Familylevel bioassessment data have been used quite extensively for conservation planning and have been shown to be well correlated with species-and genus-level data [44][45][46][47].…”

Section: Introductionmentioning

confidence: 99%

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Modeling Aquatic Macroinvertebrate Richness Using Landscape Attributes

Meixler

Bain²

2015

International Journal of Ecology

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We used a rapid, repeatable, and inexpensive geographic information system (GIS) approach to predict aquatic macroinvertebrate family richness using the landscape attributes stream gradient, riparian forest cover, and water quality. Stream segments in the Allegheny River basin were classified into eight habitat classes using these three landscape attributes. Biological databases linking macroinvertebrate families with habitat classes were developed using life habits, feeding guilds, and water quality preferences and tolerances for each family. The biological databases provided a link between fauna and habitat enabling estimation of family composition in each habitat class and hence richness predictions for each stream segment. No difference was detected between field collected and modeled predictions of macroinvertebrate families in a paired t-test. Further, predicted stream gradient, riparian forest cover, and total phosphorus, total nitrogen, and suspended sediment classifications matched observed classifications much more often than by chance alone. High gradient streams with forested riparian zones and good water quality were predicted to have the greatest macroinvertebrate family richness and changes in water quality were predicted to have the greatest impact on richness. Our findings indicate that our model can provide meaningful landscape scale macroinvertebrate family richness predictions from widely available data for use in focusing conservation planning efforts.

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Weak relationships between landscape characteristics and multiple facets of stream macroinvertebrate biodiversity in a boreal drainage basin

Cited by 63 publications

References 48 publications

The taxonomic distinctness of macroinvertebrate communities of Atlantic Forest streams cannot be predicted by landscape and climate variables, but traditional biodiversity indices can

The taxonomic distinctness of macroinvertebrate communities of Atlantic Forest streams cannot be predicted by landscape and climate variables, but traditional biodiversity indices can

Testing a typology system of running waters for conservation planning in Hungary

Modeling Aquatic Macroinvertebrate Richness Using Landscape Attributes

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