Evaluation of NDVI to assess avian abundance and richness along the upper San Pedro River

Mcfarland, Tiffany M.; Riper, Charles van; Johnson, G.E.

doi:10.1016/j.jaridenv.2011.09.010

Cited by 21 publications

(11 citation statements)

References 46 publications

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“…At some sites, our avian relative abundance estimates were relatively high compared to some studies (Rumble and Gobeille 2004;Mcfarland et al 2012); however, found similar avian densities along the San Pedro River. There are several reasons that account for the high avian relative abundances (> 40 individuals) detected at some sites.…”

Section: Hydrogeomorphology Vegetation and Birdssupporting

confidence: 44%

“…Yellow-breasted Chat was the most commonly detected bird (2,007 detections) and occurred at 67 sites. Spotted Towhee was the second most commonly detected bird (1,405 detections) and occurred at 66 sites; Mourning Dove was the third most frequently detected bird (1,053 detections) and occurred at 68 sites.Because the mode of relative abundance estimates produced fromRoyle's (2004) N-mixture models sometimes overestimated the maximum number of individuals detected at a site as compared to other southwestern avian studies(Rumble and Gobeille 2004;Mcfarland et al 2012), the more conservative first quartile of relative abundance estimates was used in analyses(Kéry and Schaub 2012). Different combinations of covariates were required for each species to achieve the model of best fit.Using New Mexico Partner in Flight Species Assessment scores, 5 species qualify as species of concern.…”

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confidence: 99%

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Effect of Hydrologic, Geomorphic, and Vegetative Conditions on Avian Communities in The Middle Rio Grande of New Mexico

et al. 2019

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Riparian ecosystems in the semiarid and arid southwestern United States support some of the highest avian species richness and density in temperate North America (Brand et al. 2008). However, these biodiverse ecosystems are threatened by a lack of legal protection coupled with human population growth and subsequent increasing demands for groundwater and surface water (Stromberg et al. 1996; Brand et al. 2011). Groundwater and stream withdrawals have contributed to the loss and alteration of wetland and riparian ecosystems throughout the Southwest (Levine and Stromberg 2001). Water control structures such as diversions, levees, and dams modify flood frequency and duration, surface flow rates, and sediment and nutrient transport (Scott et al. 2000; Levine and Stromberg 2001; Merritt et al. 2010). Additionally, channelization of rivers has led to channel incision, further altering the depth, timing, duration, and frequency of flooding (Scott et al. 2000; Merritt et al. 2010). Such changes in the hydrogeomorphology of rivers have led to the degradation of riparian habitats as the native biota has evolved to cope with the dynamic flows of rivers (Stromberg et al. 1996; Scott et al. 2000; Merritt et al. 2010). These hydrologic and geomorphic changes have impacted vegetation communities of southwestern riparian systems. For example, the recruitment of native plants, like Goodding's willow (Salix gooddingii), Rio Grande cottonwood (Populus deltoides ssp. wislizeni), and coyote willow (Salix exigua), has declined as the hydrologic

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Section: Hydrogeomorphology Vegetation and Birdssupporting

confidence: 44%

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confidence: 99%

Effect of Hydrologic, Geomorphic, and Vegetative Conditions on Avian Communities in The Middle Rio Grande of New Mexico

et al. 2019

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“…Models were built with environmental predictors that have been shown to play a role in shaping the distributions and/or abundances of birds at our spatial resolution, such as those expressing vegetation structure, primary productivity, topography and human impact (Seoane et al ., ; Mcfarland et al ., ). The vegetation structure categories were assigned to each transect based on an existing map of plant communities in the Canary Islands (Del Arco et al ., ).…”

Section: Methodsmentioning

confidence: 97%

Predicting regional densities from bird occurrence data: validation and effects of species traits in a Macaronesian Island

Carrascal

Aragón

Palomino

et al. 2015

Diversity and Distributions

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Aim Quantifying species abundances is costly, especially when many species are involved. To overcome this problem, several studies have predicted local abundances (at the sample unit level) from species occurrence distribution models (SODMs), with differences in predictive performance among studies. Surprisingly, the ability of SODM to predict regional abundances of an entire area of interest has never been tested, despite the fact that it is an essential parameter for species conservation and management. We tested whether local and regional abundances of 21 terrestrial bird species could be predicted from SODMs in an exhaustively surveyed island, and examined the variation explained by species-specific traits.Location La Palma Island, Canary Islands.Methods We firstly assessed two types of algorithms representing the two main families of SODMs. We built models using presence/absence (boosted classification trees) and presence/background (MaxEnt) data as a function of relevant environmental predictors and tested their ability to predict the observed local abundances. The predicted probabilities of occurrence (P i ) were translated into animal numbers (n 0 ) using the revisited equation n i 0 = Àln (1ÀP i ), and we obtained regional abundances (for the whole island).Results Predictive ability of presence/absence models was superior than that of MaxEnt. At the regional level, the observed average densities of all species were highly predictable from occurrence probabilities (R 2 = 93.5%), without overall overestimation or underestimation. Interspecific variation in the accuracy of predicted regional density was largely explained (R 2 = 73%), with habitat breath and variation in local abundance being the traits of greatest importance.Main conclusions Despite uncertainties associated with local predictions and the idiosyncrasies of each species, our procedures enabled us to predict regional abundances in an unbiased way. Our approach provides a cost-effective tool when a large number of species are involved. Furthermore, the influence of species-specific traits on the prediction accuracy provides insights into sampling designs for focal species.

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“…Providing spatially extensive, up-to-date information on biodiversity attributes has been problematic owing to the lack of direct measures from remotely sensed data of the occurrence of much of the biota. Finding a solution to this problem is important because on-ground surveys are costly, often require highly trained taxonomic experts and cover small areas only briefly (Mcfarland et al, 2012). Therefore, there is generally only sketchy information on the status of biodiversity (Muller & Brandl, 2009).…”

Section: Introductionmentioning

confidence: 99%

Climate‐change‐driven deterioration of the condition of floodplain forest and the future for the avifauna

Nally

Lada

Cunningham

et al. 2013

Global Ecology and Biogeography

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Aim We used models of remotely sensed estimates of forest‐stand condition (degree of die‐back) with models of avian responses to stand condition to determine how the avifauna responded to a 13‐year drought, and how the avifauna might respond to a predicted much warmer and drier climate in the next 60 years. Location Floodplain forests of the southern Murray–Darling Basin, Australia. Methods We selected 45 2‐ha locations that spanned the full range of stand condition and conducted bird surveys and rapid assessments of breeding, which involved repeated measurements over the breeding season. These values were modelled as functions of stand condition and several other on‐site predictors. We made hindcast estimates of the proportions of forest in different stand‐condition classes. We developed a trajectory of change in these proportions under the regionally downscaled estimates of climate change under the A1F1 IPCC emission scenario, which were linked with patterns of change in drier, hotter extant forests. The hindcast and projected values were coupled with the results of the statistical models for the avifauna to provide future projections for the avifauna. Results Three avifaunal variables (measures of abundance, effective species richness and total breeding score summed for all species) were strongly related to stand condition. Hindcast estimates based on the assumption of original good condition suggested that the response variables had declined by > 25% since 1750. Projected declines in the response variables from 2009 to 2070 were > 29%, while differences between 1750 and 2070 were > 58%. Conclusions Stand condition strongly influences birds, so that reliable estimates of avifaunal change can be made by using remotely sensed estimates of stand condition. Given probable changes in forest condition under climate change, we project that the prospects for these avifauna are dire under the A1F1 or more extreme emission scenarios.

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Evaluation of NDVI to assess avian abundance and richness along the upper San Pedro River

Cited by 21 publications

References 46 publications

Effect of Hydrologic, Geomorphic, and Vegetative Conditions on Avian Communities in The Middle Rio Grande of New Mexico

Effect of Hydrologic, Geomorphic, and Vegetative Conditions on Avian Communities in The Middle Rio Grande of New Mexico

Predicting regional densities from bird occurrence data: validation and effects of species traits in a Macaronesian Island

Climate‐change‐driven deterioration of the condition of floodplain forest and the future for the avifauna

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