Small mammal abundance in Mediterranean post-fire habitats: a role for predators?

Torre, Ignasi; Dı́az, Mario

doi:10.1016/j.actao.2003.10.007

Cited by 116 publications

(97 citation statements)

References 26 publications

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“…As expected the orchard terrace was significantly more productive than the latter (p<0.001; df=1). The trap success rate (TSR) in the orchard terrace was 7.8%, which compared to other studies is a good mid-way between high capture success rates of 15.15% (Torre and Diaz, 2004), and low success rates 4.4% (Carthew and Keynes, 2004). Given the limited time frame this is good result.…”

Section: Hypothesismentioning

confidence: 58%

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Comparing Habitat Type and Abundance within the Urra Small Mammal Population

Szebor¹,

Strubel²

2013

ijmec

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This study set out to explore two objectives. Firstly the abundance of small mammals in two varying habitats (a well vegetated orchard terrace and a sparsely vegetated dry riverbed) in Southern Spain; and secondly to compare the efficiency of the two traps used (Longworth and Sherman). Traps were equally spaced apart in the 40 m 2 trapping areas using a grid pattern. The two trap types were arranged alternately and checked four times a day (twice during darkness hours and twice during daylight hours). Our two main hypotheses associated with our objectives were proven to be correct as significantly more small mammals were captured in the orchard terrace than in the dry river bed (P<0.001; df =1) and Longworth traps were by far the most superior over the Sherman traps (with a success rate 48 more times greater than the later). Our findings show that the dominant species Mus spretus prefers areas of more continuous habitat rather than the sparsely vegetated dry riverbed and that the longworth traps were best suited to capturing the size of mammals that this study found. This study will help to act as a recommendation to further long term research of population sizes in similar habitats.

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Section: Hypothesismentioning

confidence: 58%

“…Each grid measured 40×40 m. 40 traps were evenly spaced within the grid. This is the standard approach for density sampling studies (Golley et al, 1975;Geier and Best, 1980;Barnett and Dutton, 1995;Parmenter et al, 2003;Torre and Diaz, 2004). Both Longworth and Sherman traps were alternated throughout the grid.…”

Section: Methodologiesmentioning

confidence: 99%

Comparing Habitat Type and Abundance within the Urra Small Mammal Population

Szebor¹,

Strubel²

2013

ijmec

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“…C. E. Bock and J. H. Bock [7] also attributed change in the small mammal community to habitat changes in desert grassland in southeastern Arizona. In addition, researchers have suggested that fire-related fragmentation could increase predation pressure on small mammals [44].…”

Section: Discussionmentioning

confidence: 99%

Short-Term Fire Effects on Small Mammal Populations and Vegetation of the Northern Chihuahuan Desert

Monasmith¹,

Demarais

Root³

et al. 2010

International Journal of Ecology

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Fire is an important ecological factor in semidesert grass-shrub community dynamics, but there is a lack of designed field experiments documenting effects on vegetation and small mammals. We document effects of June prescribed fire on vegetation and small mammals on 20, 25-ha study areas in the Northern Chihuahuan Desert of Southern New Mexico, USA one month and one year posttreatment. Canopy cover of shrubs and grasses recovered to 68 and 27% of the preburn canopy cover, respectively, after one year. Prescribed burns during June enhanced short-term forb production by reducing competition from grasses and shrubs. Thirty thousand trap-nights yielded 1744 captures of 766 individuals of 15 small mammal species. Burns did not affect small mammal species richness and species diversity. Relative abundance of Merriam's kangaroo rats (Dipodomys merriami) was 91% greater on burned sites than on control sites one year postburn. Silky pocket mouse (Perognathus flavus) relative abundance was 221% greater on burned sites one year postburn. Chihuahuan Desert pocket mice (Chaetodipus eremicus) responded negatively to the fire, with relative abundance 170% greater on control sites (P = .080). Burning produced short-term benefits for two heteromyids, Merriam's kangaroo rats and silky pocket mice.

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“…Wildfires constitute a direct risk for human life and health [28] while being associated with intense carbon emissions and alteration of surrounding ecosystems [29,30], from habitat connectivity [31,32] to biodiversity [33]. The induced land cover degradation [34] has also a potential role in exacerbating soil erosion [18,19] and shallow landslides [17] while altering the precipitation-runoff relationship [35] along with flood regimes [36,37].…”

Section: Transdisciplinary Wildfire Behaviour: Continental Scale Inrmmmentioning

confidence: 99%

An Architecture for Adaptive Robust Modelling of Wildfire Behaviour under Deep Uncertainty

Rigo

Rodriguez-Aseretto

Bosco

et al. 2013

IFIP Advances in Information and Communication Technology

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Abstract. Wildfires in Europe -especially in the Mediterranean region -are one of the major treats at landscape scale. While their immediate impact ranges from endangering human life to the destruction of economic assets, other damages exceed the spatio-temporal scale of a fire event. Wildfires involving forest resources are associated with intense carbon emissions and alteration of surrounding ecosystems. The induced land cover degradation has also a potential role in exacerbating soil erosion and shallow landslides. A component of the complexity in assessing fire impacts resides in the difference between uncontrolled wildfires and those for which a control strategy is applied. Robust modelling of wildfire behaviour requires dynamic simulations under an array of multiple fuel models, meteorological disturbances and control strategies for mitigating fire damages. Uncertainty is associated to meteorological forecast and fuel model estimation. Software uncertainty also derives from the datatransformation models needed for predicting the wildfire behaviour and its consequences. The complex and dynamic interactions of these factors define a context of deep uncertainty. Here an architecture for adaptive and robust modelling of wildfire behaviour is proposed, following the semantic array programming paradigm. The mathematical conceptualisation focuses on the dynamic exploitation of updated meteorological information and the design flexibility in adapting to the heterogeneous European conditions. Also, the modelling architecture proposes a multicriteria approach for assessing the potential impact with qualitative rapid assessment methods and more accurate a-posteriori assessment.

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Small mammal abundance in Mediterranean post-fire habitats: a role for predators?

Cited by 116 publications

References 26 publications

Comparing Habitat Type and Abundance within the Urra Small Mammal Population

Comparing Habitat Type and Abundance within the Urra Small Mammal Population

Short-Term Fire Effects on Small Mammal Populations and Vegetation of the Northern Chihuahuan Desert

An Architecture for Adaptive Robust Modelling of Wildfire Behaviour under Deep Uncertainty

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