Habitat structure predicts bird diversity distribution in Iberian forests better than climate

Tellería, José Luis; Santos, Tomás; Sánchez, Ana M.; Galarza, Aitor

doi:10.1080/00063659209477100

Cited by 24 publications

(12 citation statements)

References 22 publications

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“…Among the numerous ecological factors that determine the spatial variation of bird species richness, climate seems to be important at the macrogeographic scale (Tramer, 1974; MacArthur, 1975; Herrera, 1978; Rotenberry, 1978; Schall & Pianka, 1978; Short, 1979; Heggberget, 1987; Virkkala, 1987; Root, 1988; Tellería & Santos, 1993, 1994). In addition, habitat structure (usually measured through estimates of vegetation structure) is also related to variations in bird species richness (Pitelka, 1941; Recher, 1969; Rotenberry & Wiens, 1980; Crowe & Crowe, 1982; Emlen et al ., 1986; Gentilli, 1992; Tellería et al ., 1992). However, few studies have assessed the respective roles of climate and vegetation structure (but see Rotenberry & Wiens, 1980; Tellería et al ., 1992).…”

Section: Introductionmentioning

confidence: 99%

“…In addition, habitat structure (usually measured through estimates of vegetation structure) is also related to variations in bird species richness (Pitelka, 1941; Recher, 1969; Rotenberry & Wiens, 1980; Crowe & Crowe, 1982; Emlen et al ., 1986; Gentilli, 1992; Tellería et al ., 1992). However, few studies have assessed the respective roles of climate and vegetation structure (but see Rotenberry & Wiens, 1980; Tellería et al ., 1992).…”

Section: Introductionmentioning

confidence: 99%

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Determinants of bird species richness: role of climate and vegetation structure at a regional scale

Cueto

Casenave

1999

Journal of Biogeography

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We examined the respective roles of climate and vegetation structure on geographical variation in bird species richness. The Province of Buenos Aires (central-eastern Argentina) was divided into 146 squares of 50 km on a side. For each square we evaluated the number of bird species, the value of thirteen climatic variables, and the value of a vegetation strata index. The climatic matrix was analyzed by Principal Component Analysis (PCA), and the first factors resulting from PCA were considered as multifactorial climatic gradients. Simple and Partial Correlation Analysis among bird species richness, vegetation strata, and the first two factors derived from PCA (65% of total variation) indicated that bird richness distribution was determined by the availability of vegetation strata, associated with different vegetation types that, at the same time, were influenced by the climatic conditions summarized in the first climatic factor (a gradient of precipitation, relative humidity, annual termical amplitude, and frost occurrence). This relationships reflect the complexity of factors that can act directly as well as indirectly on the geographical patterns in species richness. Also, we evaluated the importance of study scale comparing our results with previous studies at macrogeographic and local scales, found out that the vegetation structure was the principal determinant of bird species richness at this three geographical scales.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Determinants of bird species richness: role of climate and vegetation structure at a regional scale

Cueto

Casenave

1999

Journal of Biogeography

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“…Vegetation structure was a good predictor of species richness of passerine birds at the regional scale in Argentina (Rabinovich & Rapoport 1975); although these authors failed to consider energy estimates such as PET or AET, vegetation stratification was better correlated with species richness than temperature. At smaller geographical scales, bird species richness appears to be determined by habitat heterogeneity (Tellería et al . 1992; Böhning‐Gaese 1997; Cueto & López de Casenave 1999).…”

Section: Discussionmentioning

confidence: 99%

Raptorial birds and environmental gradients in the southern Neotropics: A test of species‐richness hypotheses

Bellocq

Gomez-Insausti

2005

Austral Ecology

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We investigated the spatial patterns of raptor species richness in the southern Neotropics and tested three hypotheses that were most likely to explain spatial variations: ambient energy, productivity and habitat heterogeneity. We used non-linear regression analysis and eliminated alternative hypotheses by finding the best single environmental predictor of raptor species richness among potential evapotranspiration (PET), actual evapotranspiration (AET), mean annual temperature and precipitation and vegetation structure coefficient. As expected, the number of raptor species decreases monotonically as latitude increases. Raptor species richness was significantly correlated with each of the environmental factors considered in this study, reflecting covariation of climatic and habitat descriptors. Correlation coefficients showed positive associations between species richness and each single environmental variable. Mean annual temperature was the strongest environmental predictor of raptor species richness (explaining 82% of the variance), consistent with the ambient energy hypothesis. Another descriptor of ambient energy (PET) explained 75% of the spatial variation. Both the AET and the vegetation structure coefficient explained 77% of the spatial variation in richness. The spatial clusters of extreme residuals identified the subtropical rainforests and the arid heights and low plateaux of the study area as regions where local environmental conditions appear to interfere with the general trend identified by the model at the regional scale.

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“…Many bird species from northern Europe overwinter in the dehesas, are reliant upon the dehesas as a food source and Telleria et al [1992] provide evidence, which suggests that dehesas may support more diverse communities of passerines than neighbouring stands of high forest. Dehesa habitat supports 64% of the population of common cranes wintering in Spain (50 000-60 000 birds) which represents 70-85% of the western European population [Alonso et al, 1990].…”

Section: 2mentioning

confidence: 99%

Biodiversity Conservation in Managed Landscapes

Rensburg¹,

Thomas²

2010

A Handbook of Environmental Management

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Habitat structure predicts bird diversity distribution in Iberian forests better than climate

Cited by 24 publications

References 22 publications

Determinants of bird species richness: role of climate and vegetation structure at a regional scale

Determinants of bird species richness: role of climate and vegetation structure at a regional scale

Raptorial birds and environmental gradients in the southern Neotropics: A test of species‐richness hypotheses

Biodiversity Conservation in Managed Landscapes

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