Measuring stream habitat conditions: Can remote sensing substitute for field data?

Dias-Silva, Karina; Vieira, Thiago Bernardi; Matos, Talissa Pio de; Juen, Leandro; Simião-Ferreira, Juliana; Hughes, Robert M.; Júnior, Paulo de Marco

doi:10.1016/j.scitotenv.2021.147617

Cited by 7 publications

(7 citation statements)

References 80 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The Habitat Integrity Index (HII) indirectly measures variations in habitat structure related to the stream's degree of conservation [18][19][20]. The relationship between the HII and Gerromorpha communities is well known in communities from the Cerrado [15,24,25], the Amazon Forest [16,21], and other biomes such as the Atlantic Forest, as shown by Brasil et al [18].…”

Section: Discussionmentioning

confidence: 99%

“…Therefore, the HII is appropriate to predict the distribution of different taxonomic groups such as aquatic insects of the Ephemeroptera, Plecoptera, Trichoptera, Odonata, and Heteroptera orders [18]. The HII has also been shown to be more suitable than other landscape metrics to predict the distribution of Heteroptera insects in anthropized gradients [20].…”

Section: Introductionmentioning

confidence: 99%

“…They are considered sensitive to both natural and anthropic environmental change [24]. Changes in the habitat structure can alter the physicochemical variables of the water, which in turn have negative effects on the taxonomic diversity of Gerromorpha [16,20,25] or even change the morphology of individuals such as wing dimorphism [26].…”

Section: Introductionmentioning

confidence: 99%

“…Within this context, the present study aims to assess the effect of land use changes at local and landscape scales on Gerromorpha species richness and composition in streams from a region subject to multiple land-uses in the Brazilian Amazon. We hypothesize that the HII will be a better predictor of the Heteroptera communities than landscape or water quality variables [20] since this index can reflect both environmental impacts in habitat structure inside the streams and its surroundings [19,29].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Effects of Environmental Changes on Gerromorpha (Heteroptera: Hemiptera) Communities from Amazonian Streams

et al. 2022

Self Cite

View full text Add to dashboard Cite

The presence of environmental conditions that are suitable for the development of agricultural and cattle-raising activities has favored the expansion of land use in the Brazilian Amazon. This expansion changes the environmental conditions of aquatic ecosystems by altering the structure of the streambeds and the physicochemical conditions of the water. Therefore, this manuscript aimed to assess the effect of changes in environmental conditions along a gradient of different land uses on the richness and species composition of Gerromorpha (Heteroptera: Hemiptera) communities in streams from the Brazilian Amazon. We sampled Gerromorpha communities and environmental variables (physical structure of the habitat and physicochemical characteristics of the water) in 45 streams in the municipality of Paragominas in the state of Pará, Brazil. We then performed variation partitioning analyses to assess the relative contribution of habitat structure and water physicochemical variables on the richness and species composition. The Habitat Integrity Index (HII), which measures the habitat physical structure, was the best predictor of species richness. The HII and physicochemical variables were jointly the best predictors of species composition. Our results show that Gerromorpha communities respond to gradients of environmental anthropization in the Amazon region, which reinforces the importance of habitat integrity and water quality for the maintenance of Gerromorpha communities.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Effects of Environmental Changes on Gerromorpha (Heteroptera: Hemiptera) Communities from Amazonian Streams

et al. 2022

Self Cite

View full text Add to dashboard Cite

show abstract

“…In contrast, a number of stream classification models developed for parts of the AW [4] or include the AW [5,7,8,31] use geospatial predictors that characterize climatic, physiographic, geologic, and land cover controls at the scales larger than an assessment reach. Measures collected remotely and/or calculated from spatially and temporally coarse datasets may not be able to capture variation at smaller scales that can be captured by reachscale field measurements [73]. However, it is likely that physical controls of streamflow duration within stream reaches are best represented by a combination of watershed and local reach-scale factors that describe the dynamic balance between flow sources and losses from infiltration and evapotranspiration [10].…”

Section: Indicators Used In the Beta Sdam Aw Have A Strong Conceptual...mentioning

confidence: 99%

Implementing an Operational Framework to Develop a Streamflow Duration Assessment Method: A Case Study from the Arid West United States

Mazor

Topping

Nadeau

et al. 2021

Water

View full text Add to dashboard Cite

Streamflow duration information underpins many management decisions. However, hydrologic data are rarely available where needed. Rapid streamflow duration assessment methods (SDAMs) classify reaches based on indicators that are measured in a single brief visit. We evaluated a proposed framework for developing SDAMs to develop an SDAM for the Arid West United States that can classify reaches as perennial, intermittent, or ephemeral. We identified 41 candidate biological, geomorphological, and hydrological indicators of streamflow duration in a literature review, evaluated them for a number of desirable criteria (e.g., defensibility and consistency), and measured 21 of them at 89 reaches with known flow durations. We selected metrics for the SDAM based on their ability to discriminate among flow duration classes in analyses of variance, as well as their importance in a random forest model to predict streamflow duration. This approach resulted in a “beta” SDAM that uses five biological indicators. It could discriminate between ephemeral and non-ephemeral reaches with 81% accuracy, but only 56% accuracy when distinguishing 3 classes. A final method will be developed following expanded data collection. This Arid West study demonstrates the effectiveness of our approach and paves the way for more efficient development of scientifically informed SDAMs.

show abstract

Remote sensing indicators to assess riparian vegetation and river ecosystem health

Pace

Gutiérrez‐Cánovas²,

Henriques³

et al. 2022

Ecological Indicators

View full text Add to dashboard Cite

Measuring stream habitat conditions: Can remote sensing substitute for field data?

Cited by 7 publications

References 80 publications

Effects of Environmental Changes on Gerromorpha (Heteroptera: Hemiptera) Communities from Amazonian Streams

Effects of Environmental Changes on Gerromorpha (Heteroptera: Hemiptera) Communities from Amazonian Streams

Implementing an Operational Framework to Develop a Streamflow Duration Assessment Method: A Case Study from the Arid West United States

Remote sensing indicators to assess riparian vegetation and river ecosystem health

Contact Info

Product

Resources

About