Deciphering the many maps of the Xingu River Basin – an assessment of land cover classifications at multiple scales

Author(s):  
Margaret Kalacska ◽  
J. Pablo Arroyo-Mora ◽  
Oliver Lucanus ◽  
Leandro Sousa ◽  
Tatiana Pereira ◽  
...  
2005 ◽  
Vol 62 (12) ◽  
pp. 2740-2751 ◽  
Author(s):  
Jeff J Opperman ◽  
Kathleen A Lohse ◽  
Colin Brooks ◽  
N Maggi Kelly ◽  
Adina M Merenlender

Relationships between land use or land cover and embeddedness, a measure of fine sediment in spawning gravels, were examined at multiple scales across 54 streams in the Russian River Basin, California. The results suggest that coarse-scale measures of watershed land use can explain a large proportion of the variability in embeddedness and that the explanatory power of this relationship increases with watershed size. Agricultural and urban land uses and road density were positively associated with embeddedness, while the opposite was true for forest cover. The ability of land use and land cover to predict embeddedness varied among five zones of influence, with the greatest explanatory power occurring at the entire-watershed scale. Land use within a more restricted riparian corridor generally did not relate to embeddedness, suggesting that reach-scale riparian protection or restoration will have little influence on levels of fine sediment. The explanatory power of these models was greater when conducted among a subset of the largest watersheds (maximum r2 = 0.73) than among the smallest watersheds (maximum r2 = 0.46).


2019 ◽  
Vol 17 (1) ◽  
Author(s):  
Paulo Ilha ◽  
Sergio Rosso ◽  
Luis Schiesari

ABSTRACT The expansion of the Amazonian agricultural frontier represents the most extensive land cover change in the world, detrimentally affecting stream ecosystems which collectively harbor the greatest diversity of freshwater fish on the planet. Our goal was to test the hypotheses that deforestation affects the abundance, richness, and taxonomic structure of headwater stream fish assemblages in the Upper Xingu River Basin, in Southeastern Amazonia. Standardized sampling surveys in replicated first order streams demonstrated that deforestation strongly influences fish assemblage structure. Deforested stream reaches had twice the fish abundance than reference stream reaches in primary forests. These differences in assemblage structure were largely driven by increases in the abundance of a handful of species, as no influence of deforestation on species richness was observed. Stream canopy cover was the strongest predictor of assemblage structure, possibly by a combination of direct and indirect effects on the provision of forest detritus, food resources, channel morphology, and micro-climate regulation. Given the dynamic nature of change in land cover and use in the region, this article is an important contribution to the understanding of the effects of deforestation on Amazonian stream fish, and their conservation.


2015 ◽  
Vol 4 ◽  
pp. 108-122 ◽  
Author(s):  
Lívia Cristina Pinto Dias ◽  
Márcia N. Macedo ◽  
Marcos Heil Costa ◽  
Michael T. Coe ◽  
Christopher Neill

2021 ◽  
Vol 31 ◽  
pp. 100306
Author(s):  
Edmundo Wallace Monteiro Lucas ◽  
Francisco de Assis Salviano de Sousa ◽  
Fabrício Daniel dos Santos Silva ◽  
Rodrigo Lins da Rocha Júnior ◽  
David Duarte Cavalcante Pinto ◽  
...  

2021 ◽  
Vol 36 ◽  
pp. 100837
Author(s):  
Mou Leong Tan ◽  
Yi Lin Tew ◽  
Kwok Pan Chun ◽  
Narimah Samat ◽  
Shazlyn Milleana Shaharudin ◽  
...  

2017 ◽  
Vol 27 (1) ◽  
pp. 13-24 ◽  
Author(s):  
Fang Wang ◽  
Quansheng Ge ◽  
Qibiao Yu ◽  
Huaxin Wang ◽  
Xinliang Xu

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