The influence of vegetation and landscape on the forest bird community of northeast Iowa

Norris, William R.

doi:10.31274/rtd-180813-6750

Cited by 3 publications

(1 citation statement)

References 18 publications

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“…The effect of woodland size, although a strong factor in this analysis, was counter intuitive because the traits associated with smaller woods (preference for moist sites and closed canopy (low light), intolerance of disturbance, spring ephemeral growth form and ant dispersal) are characteristic of high quality rather than degraded woodlands in this region , Norris 1999. Helliwell (1976), in a study of woodlot isolation in Great Britain, found that isolated woods contained more valuable species compared to larger woodlands because the larger areas had been more intensively managed, particularly for timber production.…”

Section: Distribution Of Traits In Relation To Environmental Factorsmentioning

confidence: 99%

Floristic analysis of central Iowa woodlands, and comparison of reproduction and regeneration in common and restricted herbaceous species

Mabry

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Section: Distribution Of Traits In Relation To Environmental Factorsmentioning

confidence: 99%

Floristic analysis of central Iowa woodlands, and comparison of reproduction and regeneration in common and restricted herbaceous species

Mabry

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Evaluating the ability of regional models to predict local avian abundance

2012

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Spatial modeling over broad scales can potentially direct conservation efforts to areas with high species‐specific abundances. We examined the performance of regional models for predicting bird abundance at spatial scales typically addressed in conservation planning. Specifically, we used point count data on wood thrush (Hylocichla mustelina) and blue‐winged warbler (Vermivora cyanoptera) from 2 time periods (1995–1998 and 2006–2007) to evaluate the ability of regional models derived via Bayesian hierarchical techniques to predict bird abundance. We developed models for each species within Bird Conservation Region (BCR) 23 in the upper midwestern United States at 800‐ha, 8,000‐ha, and approximately 80,000‐ha scales. We obtained count data from the Breeding Bird Survey and land cover data from the National Land Cover Dataset (1992). We evaluated predictions from the best models, as defined by an information‐theoretic criterion, using point count data collected within an ecological subregion of BCR 23 at 131 count stations in the 1990s and again in 2006–2007. Competing (Deviance Information Criteria <5) blue‐winged warbler models accounted for 67% of the variability and suggested positive associations with forest edge and proportion of forest at the 8,000‐ha scale, and negative associations with forest patch area (800 ha) and wetness (800 ha and 80,000 ha). The regional model performed best for blue‐winged warbler predicted abundances from point counts conducted in Iowa during 1995–1996 (rs = 0.57; P = 0.14), the survey period that most closely aligned with the time period of data used for regional model construction. Wood thrush models exhibited positive correlations with point count data for all survey areas and years combined (rs = 0.58, P ≤ 0.001). In comparison, blue‐winged warbler models performed worse as time increased between the point count surveys and vintage of the model building data (rs = 0.03, P = 0.92 for Iowa and rs = 0.13, P = 0.51 for all areas, 2006–2007), likely related to the ephemeral nature of their preferred early successional habitat. Species abundance and sensitivity to changing habitat conditions seems to be an important factor in determining the predictive ability of regional models. Hierarchical models can be a useful tool for concentrating efforts at the scale of management units and should be one of many tools used by land managers, but we caution that the utility of such models may decrease over time for species preferring relatively ephemeral habitats if model inputs are not updated accordingly. © 2012 The Wildlife Society.

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Using changes in land use and land cover to predict avian species occurrences at

LeBrun

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Open-canopy oak forests not cleared for agriculture rapidly shift to closed-canopy forests. These changes have produced feedback loops that increasingly favor shade-tolerant tree species over fire-adapted species. Studies observing changes from oak-to mapledominated forests have found decreased avian species richness and abundance. The primary goal of this study was to examine changes in forest bird communities over a relatively short period of time, and assess these changes in light of habitat alterations during this same period. We specifically used recent survey data to predict forest bird occurrences. Point counts were conducted during the breeding season in 2006-07 at 49 survey stations that had been surveyed in 1995-96. Local-habitat variables were measured within 50-m and land cover and land use variables were digitized (200-m, 1-km, and 6-km) for each period. Single-species logistic and autologistic models were created using the 1995-96 dataset. Using the 2006-07 dataset, models were evaluated using receiver operating characteristic (ROC) curves. Predictive models performed best for species associated with open habitats and dense understories, suggesting that we have a relatively good understanding of their habitat requirements. The inclusion of variables measured at relatively fine scales suggests that relying on remotely sensed imagery alone will not be sufficient to make predictions on species occurrences at the scales we studied.

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The influence of vegetation and landscape on the forest bird community of northeast Iowa

Cited by 3 publications

References 18 publications

Floristic analysis of central Iowa woodlands, and comparison of reproduction and regeneration in common and restricted herbaceous species

Floristic analysis of central Iowa woodlands, and comparison of reproduction and regeneration in common and restricted herbaceous species

Evaluating the ability of regional models to predict local avian abundance

Using changes in land use and land cover to predict avian species occurrences at

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