Irrigation canals in a semi-arid agricultural landscape surrounded by wetlands: Their role as a habitat for birds during the breeding season

López-Pomares, A.; Iborra, Germán M. López; Cantarino, Carlos Martín

doi:10.1016/j.jaridenv.2015.02.021

Cited by 29 publications

(18 citation statements)

References 23 publications

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“…roadside hawk, violaceous euphonia, Euphonia violacea, and yellow oriole , Icterus nigrogularis ) (Fletcher & Hutto, ; Scott, Skagen, & Merigliano, ). This finding concurs with those reported in Domínguez‐López and Ortega‐Álvarez () and López‐Pomares, López‐Iborra, and Martín‐Cantarino (), suggesting that riparian corridors can facilitate species movement and support populations within urban landscapes. As such, we strongly encourage urban planners, both locally and regionally, to recognize the potential of urban waterways for bird conservation in towns and cities.…”

Section: Discussionsupporting

confidence: 92%

Bird communities across varying landcover types in a Neotropical city

et al. 2019

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Urbanization poses a serious threat to local biodiversity, yet towns and cities with abundant natural features may harbor important species populations and communities. While the contribution of urban greenspaces to conservation has been demonstrated by numerous studies within temperate regions, few consider the bird communities associated with different landcovers in Neotropical cities. To begin to fill this knowledge gap, we examined how the avifauna of a wetland city in northern Amazonia varied across six urban landcover types (coastal bluespace; urban bluespace; managed greenspace; unmanaged greenspace; dense urban; and sparse urban).We measured detections, species richness, and a series of ground cover variables that characterized the heterogeneity of each landcover, at 114 locations across the city. We recorded >10% (98) of Guyana's bird species in Georgetown, including taxa of conservation interest. Avian detections, richness, and community composition differed with landcover type. Indicator species analysis identified 29 species from across dietary guilds, which could be driving community composition. Comparing landcovers, species richness was highest in managed greenspaces and lowest in dense urban areas. The canal network had comparable levels of species richness to greenspaces.The waterways are likely to play a key role in enhancing habitat connectivity as they traverse densely urbanized areas. Both species and landcover information should be integrated into urban land-use planning in the rapidly urbanizing Neotropics to maximize the conservation value of cities. This is imperative in the tropics, where anthropogenic pressures on species are growing significantly, and action needs to be taken to prevent biodiversity collapse. K E Y W O R D Savian, bluespace, diversity, greenspace, Guyana, indicator species, species richness, urban planning

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Section: Discussionsupporting

confidence: 92%

Bird communities across varying landcover types in a Neotropical city

et al. 2019

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“…In all the analyses, a spatial term was incorporated to control for spatial autocorrelation. The spatial term was defined from: x + y + x 2 + xy + y 2 + x 3 + x 2 y + xy 2 + y 3 (Legendre & Legendre, ), using the central UTM coordinates of each lake (López‐Iborra, Limiñana, Pavón, & Martínez‐Pérez, ; López‐Pomares, López‐Iborra, & Martín‐Cantarino, ). The significance of the independent contribution of the environmental variables was evaluated by randomization tests based on 999 randomizations (Mac Nally, ).…”

Section: Methodsmentioning

confidence: 99%

Seasonal differences in drivers of species richness of waders in inland wetlands of La Mancha Húmeda Biosphere Reserve

Gonçalves

Gil‐Delgado

Gosálvez

et al. 2018

Aquatic Conservation

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Temporary inland wetlands are among the most threatened ecosystems worldwide, and recognition of the factors that determine species richness in different seasons is key for developing conservation plans for these systems. La Mancha Húmeda Biosphere Reserve in central Spain has many inland wetlands of this type, but the driving ecological processes of species richness are poorly understood. This study examines the association of landscape and local variables with species richness patterns of inland wetlands of La Mancha Húmeda Biosphere Reserve during winter and the breeding season. The number of lakes in several increasing radii was a proxy of connectivity, and maximum flooded surface and shoreline length were surrogates of the species–area relationship. Other landscape and local habitat variables, such as hydroperiod (length of inundation period), distance from human settlements, shoreline development index, vegetation surface cover, average lake depth, number of islands and surface area of islands were also analysed. Hierarchical partitioning analysis was used to evaluate the contribution of the environmental variables to explain the species richness of waders. Species richness (26 species, four threatened in Europe) had different associations with the variables during the wintering and breeding seasons. The richness of breeding and wintering species was positively associated with hydroperiod and maximum flooded surface area respectively. No variable measured was negatively associated with species richness in any season. Hydroperiod and flooded surface area are altered directly by human activities. Water extraction for irrigation reduces hydroperiod in some wetlands, whereas wastewater input extends hydroperiod in others, promoting wader concentrations in lakes flooded in summer and potentially favouring botulism outbreaks. In addition, the lack of protection and management on most of the lakes in La Mancha Húmeda Biosphere Reserve also favours encroachment of agriculture, destroying and degrading habitat for wintering and breeding waders.

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“…La significació estadística i la contribució independent de les variables predictives es va avaluar mitjançant un test de la Z a partir de 999 aleatoritzacions (MacNally, 2002). L'efecte de l'autocorrelació espacial de les quadrícules de mostreig va ser controlat mitjançant la inclusió en totes les anàlisis d'un terme espacial de la forma ''x + y + x 2 + y 2 + xy + x 3 + y 3 + x 2 y + y 2 x'' calculat a partir de les coordenades UTM de cada quadrícula (López-Pomares et al, 2015). El signe de cada variable es va calcular a partir de models de regressió logística.…”

Section: Anàlisi Estadísticaunclassified

“…El seu poder explicatiu és segregat en l'efecte independent ''I'' i els efectes causats conjuntament amb les altres variables ''J'' (MacNally, 2000). Cal destacar que la PJ no pretén proporcionar un model predictiu, sinó que permet identificar les variables que contribueixen més a una disminució de la desviació per si mateixa, independentment de les altres (López-Iborra et al, 2011;López-Pomares et al, 2015).…”

Section: Anàlisi Estadísticaunclassified