NOTES ON THE BIOMETRY, ORIENTATION AND SPATIAL LOCALIZATION OF THE NESTS OF THE GLOBALLY NEAR-THREATENED STRAIGHT-BILLED REEDHAUNTER (<i>LIMNOCTITES RECTIROSTRIS</i>)

Mss, Gonçalves; PdS, Pons; Cb, Andretti; Fc, Bonow

doi:10.1101/128553

Cited by 3 publications

(2 citation statements)

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“…Its ecology remains largely unknown, yet all studies agree that it is closely linked to the spiny herb eryngo, Eryngium spp. (Apiaceae), which provides arthropods as food resources (Zorrilla de San Martín 1963, López-Lanús et al 1999) and nest sites (Daguerre 1933, Pereyra 1938, Ricci and Ricci 1984, Babarskas and Fraga 1998, Gonçalves et al 2017. In particular, it has been mentioned that the straight-billed reedhaunter interacts with three eryngo species: E. pandanifolium, E. horridum and E. eburneum (Olson et al 2005).…”

Section: Study Speciesmentioning

confidence: 99%

“…Therefore, we first modeled SDMs of E. pandanifolium (n = 107), E. horridum (n = 69) and E. eburneum (n = 57) using occurrence data sourced from Global Biodiversity Information Facility (2007), and used them as inputs into the straight-billed reedhaunter SDM. Straight-billed reedhaunter occurrence data (n = 166) were obtained from literature records (Gould 1839, Sanborn 1929, Daguerre 1933, Pereyra 1938, Esteban 1949, Escalante 1956, Zorrilla de San Martín 1963, Gerzenstein and Achával 1967, Canevari et al 1991, Krapovickas et al 1992, Chébez 1994, Ricci and Ricci 1984, Babarskas and Fraga 1998, López-Lanús et al 1999, Sagrera 1999, Accordi and Barcellos 2006, Accordi and Hartz 2006, Pacheco and Olmos 2006, Aldabe et al 2008, Brummelhaus et al 2012, Gonçalves et al 2017, Global Biodiversity Information Facility (2007) and eBird (2016) (Fig. 2).…”

Section: Distribution Modelingmentioning

confidence: 99%

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Biotic interactions in species distribution models enhance model performance and shed light on natural history of rare birds: a case study using the straight‐billed reedhaunter Limnoctites rectirostris

Palacio

Girini²

2018

Journal of Avian Biology

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Species distribution models (SDMs) have become a workhorse to explain, understand and predict distributions of birds. However, SDMs at broad scales are typically built using climatic variables, while ignoring the effects of biotic interactions. Although its role still remains controversial, the inclusion of biotic interactions into SDMs could confirm and/or provide new ecological insights of poorly‐known species. We modeled the distribution of the rare South American straight‐billed reedhaunter Limnoctites rectirostris (Furnariidae), a specialist of marshy areas linked to the spiny herb eryngo (Eryngium spp., Apiaceae), which provides the main food and nest resources. To do this, we first modeled the distribution of three eryngo species considered as the main biotic interactors (E. eburneum, E. horridum and E. pandanifolium) and included them into the straight‐billed reedhaunter SDM. Second, we analyzed niche overlap between the straight‐billed reedhaunter and eryngos in terms of environmental variables using dynamic range boxes, a novel approach to quantify size of n‐dimensional hypervolumes. The inclusion of biotic interactions improved model performance relative to a model with climatic variables only. Climatic suitability of E. eburneum and mean temperature of wettest quarter were the most important predictors. By contrast, E horridum and E. pandanifolium resulted in poor predictors, suggesting that the straight‐billed reedhaunter's relative dependence on each eryngo species is different. The three eryngo environmental spaces largely covered the environmental space of the straight‐billed reedhaunter, but the opposite was not true. Our findings suggest that biotic interactions play an important role in explaining and predicting the distribution of a rare bird at macro‐scales, and that the assessment of niche overlap between interactors may confirm or improve the autoecological understanding of rare and cryptic birds. We advocate the use of an integrative modeling approach including climate and biotic interactions into SDMs to enhance ecological knowledge on poorly‐known bird species.

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Section: Study Speciesmentioning

confidence: 99%