Recent developments in landscape approaches for the study of aquatic ecosystems

Johnson, Lucinda B.; Host, George E

doi:10.1899/09-030.1

Cited by 120 publications

(96 citation statements)

References 246 publications

(229 reference statements)

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“…Many approaches have been developed aiming to evaluate the ecological effects of anthropogenic activities in freshwater ecosystems (Rosenberg and Resh, 1992;Bonada et al, 2006, Siqueira et al, 2012a. Part of the challenge involves understanding the large scale drivers of variation in biodiversity, and finding relationships between biological indicators and more easily measured predictor variables such as landscape metrics (Wiens, 2002;Johnson and Host, 2010).…”

Section: Introductionmentioning

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: Introductionmentioning

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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“…As it is the responsibility of all the administrative districts to conserve their river ecosystems for watershed management, both the watershed boundary and the administrative boundary should be taken into consideration during the process of river ecosystem restoration and planning [26]. Referring to the administrative divisions, the SRB is located in Heilongjiang Province, Jilin Province, and Inner Mongolia Autonomous Region.…”

Section: Figure 1 Location Of the Songhua River Basin (Srb)mentioning

confidence: 99%

“…These factors specifically included population (total number of inhabitants), secondary industrial output (annual revenue in CNY, Chinese Yuan Renminbi), urbanized and industrialized areas (residential areas and industrial estates), large animals (sum number of cattle, horses, donkeys, mules, and camels), fertilizer (consumption of nitrogen, phosphate, potash, and compound), pesticides (consumption of chemical pesticides), agricultural area (tillage of agriculture land), reservoir storage (storage capacity of large and medium reservoirs), traffic land (roads > 30 m in width), and mining and manufacturing sites (sum number of pollution points). On top of that, statistical data were all collected from the provincial statistical yearbooks [33][34][35], and land-use data were provided by the Resource and Environment Science Data Center, Chinese Academy of Sciences, As it is the responsibility of all the administrative districts to conserve their river ecosystems for watershed management, both the watershed boundary and the administrative boundary should be taken into consideration during the process of river ecosystem restoration and planning [26]. Referring to the administrative divisions, the SRB is located in Heilongjiang Province, Jilin Province, and Inner Mongolia Autonomous Region.…”

Section: Human Threat Factorsmentioning

confidence: 99%

The Human Threat to River Ecosystems at the Watershed Scale: An Ecological Security Assessment of the Songhua River Basin, Northeast China

Shen

Cao

Tang

et al. 2017

Water

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Abstract:Human disturbances impact river basins by reducing the quality of, and services provided by, aquatic ecosystems. Conducting quantitative assessments of ecological security at the watershed scale is important for enhancing the water quality of river basins and promoting environmental management. In this study, China's Songhua River Basin was divided into 204 assessment units by combining watershed and administrative boundaries. Ten human threat factors were identified based on their significant influence on the river ecosystem. A modified ecological threat index was used to synthetically evaluate the ecological security, where frequency was weighted by flow length from the grids to the main rivers, while severity was weighted by the potential hazard of the factors on variables of river ecosystem integrity. The results showed that individual factors related to urbanization, agricultural development and facility construction presented different spatial distribution characteristics. At the center of the plain area, the provincial capital cities posed the highest level of threat, as did the municipal districts of prefecture-level cities. The spatial relationships between hot spot locations of the ecological threat index and water quality, as well as the distribution areas of critically endangered species, were analyzed. The sensitivity analysis illustrated that alteration of agricultural development largely changed the ecological security level of the basin. By offering a reference for assessing ecological security, this study can enhance water environmental planning and management.

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“…Geospatial variables have increasingly been used to quantify large-scale environmental drivers in studies of hierarchical relationships (Johnson and Host, 2010). A continuous ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer; http:// asterweb.jpl.nasa.gov/gdem.asp) 30-m-resolution Digital Elevation Model (DEM) was used for watershed delineation.…”

Section: Data Collectionmentioning

confidence: 99%

Responses of Low Arctic Stream Benthic Macroinvertebrate Communities to Environmental Drivers at Nested Spatial Scales

Lento

Monk

Culp

et al. 2013

Arctic, Antarctic, and Alpine Research

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Recent developments in landscape approaches for the study of aquatic ecosystems

Abstract: BioOne Complete (complete.BioOne.org) is a full-text database of 200 subscribed and open-access titles in the biological, ecological, and environmental sciences published by nonprofit societies, associations, museums, institutions, and presses.

Cited by 120 publications

References 246 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

The Human Threat to River Ecosystems at the Watershed Scale: An Ecological Security Assessment of the Songhua River Basin, Northeast China

Responses of Low Arctic Stream Benthic Macroinvertebrate Communities to Environmental Drivers at Nested Spatial Scales

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