2023
DOI: 10.1002/eap.2808
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EVIandNDVIas proxies for multifaceted avian diversity in urban areas

Abstract: Most ecological studies use remote sensing to analyze broad-scale biodiversity patterns, focusing mainly on taxonomic diversity in natural landscapes. One of the most important effects of high levels of urbanization is species loss (i.e., biotic homogenization). Therefore, cost-effective and more efficient methods to monitor biological communities' distribution are essential. This study explores whether the Enhanced Vegetation Index (EVI) and the Normalized Difference

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Cited by 12 publications
(6 citation statements)
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“…Besides, highly urbanised areas with entirely impervious surface cover are expected to have a net primary production near zero (Shochat et al, 2006). In this context, we found little support for a latitudinal diversity gradient based on NDVI alone as previously reported for breeding assemblages in natural ecosystems (Hawkins, Field, et al, 2003;Hawkins, Porter, & Diniz-Filho, 2003) or urban ecosystems at continentalscale (Benedetti et al, 2023). Nonetheless, NDVI has been associated with an increase of non-breeding avian taxonomic diversity in tropical urban areas (Leveau et al, 2018), coinciding with our analyses testing the "productivity" hypothesis (Tables S9-S11).…”
Section: Piecewise Structural Equation Modellingcontrasting
confidence: 84%
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“…Besides, highly urbanised areas with entirely impervious surface cover are expected to have a net primary production near zero (Shochat et al, 2006). In this context, we found little support for a latitudinal diversity gradient based on NDVI alone as previously reported for breeding assemblages in natural ecosystems (Hawkins, Field, et al, 2003;Hawkins, Porter, & Diniz-Filho, 2003) or urban ecosystems at continentalscale (Benedetti et al, 2023). Nonetheless, NDVI has been associated with an increase of non-breeding avian taxonomic diversity in tropical urban areas (Leveau et al, 2018), coinciding with our analyses testing the "productivity" hypothesis (Tables S9-S11).…”
Section: Piecewise Structural Equation Modellingcontrasting
confidence: 84%
“…To ensure that our inferences are directly comparable to the results of previous macroecological studies conducted in cities (Pautasso et al., 2011), we use NDVI instead of the Net Primary Productivity Index (NPPI). NDVI is well‐established as the most widely used index to detect changes in vegetation characteristics at different spatial scales (Benedetti et al., 2023; Leveau et al., 2020; Nieto et al., 2015).…”
Section: Methodsmentioning
confidence: 99%
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“…The estimation of vegetation cover is accomplished using the EVI, which utilizes remote sensing data from the visible and near-infrared bands 24 . EVI serves as an effective index for assessing vegetation cover and is characterized by specific computational processes, as depicted in Fig.…”
Section: Research Theory and Improved Random Forest Modelmentioning
confidence: 99%
“…While the concept of incorporating UGS into city planning has long been understood, the importance of species diversity has only been recently brought to the fore ( Hunter et al., 2019 ). This is particularly important, as the diversity of animals in urban areas may be linked to the diversity of the plant life ( Hughes et al., 2022 ; Nava-Diaz et al., 2022 ; Benedetti et al, 2023 ). Therefore, understanding influences on urban plant diversity (UPD) is crucial as a driver of overall urban biodiversity.…”
Section: Introductionmentioning
confidence: 99%