Multi-scale Mexican spotted owl (Strix occidentalis lucida) nest/roost habitat selection in Arizona and a comparison with single-scale modeling results

2016 ◽  
Vol 31 (6) ◽  
pp. 1209-1225 ◽  
Author(s):  
Brad C. Timm ◽  
Kevin McGarigal ◽  
Samuel A. Cushman ◽  
Joseph L. Ganey
2002 ◽  
Vol 2 (4) ◽  
pp. 446-448 ◽  
Author(s):  
Anna B. Thode ◽  
Mary Maltbie ◽  
Leslie A. Hansen ◽  
Lance D. Green ◽  
Jonathan L. Longmire

The Condor ◽  
2017 ◽  
Vol 119 (4) ◽  
pp. 641-658 ◽  
Author(s):  
Ho Yi Wan ◽  
Kevin McGarigal ◽  
Joseph L. Ganey ◽  
Valentin Lauret ◽  
Brad C. Timm ◽  
...  

2013 ◽  
Vol 873 ◽  
pp. 642-651
Author(s):  
Tao Hong Zhang ◽  
Shou Gang Xu ◽  
De Zheng Zhang ◽  
Aziguli Wulamu

Although the degradation modeling of tissue engineering scaffold is in its initial step, it can direct the design, optimization of scaffold and help the application in medical case of illness. This paper analyzes the modeling methods and gives the speciality of every model which is put forward by researchers in China and abroad about the degradation of tissue engineering scaffold. These models are divided into micro scale, macro scale and two scale models based on the modeling scales. The recent research is belonging to single scale modeling. Some researchers abroad probed to two scale modeling. The future model is prospected in multi scale coupling macro, micro, and meta-macro model.


PeerJ ◽  
2017 ◽  
Vol 5 ◽  
pp. e3164 ◽  
Author(s):  
Jan Jedlikowski ◽  
Mattia Brambilla

BackgroundHabitat selection and its adaptive outcomes are crucial features for animal life-history strategies. Nevertheless, congruence between habitat preferences and breeding success has been rarely demonstrated, which may result from the single-scale evaluation of animal choices. As habitat selection is a complex multi-scale process in many groups of animal species, investigating adaptiveness of habitat selection in a multi-scale framework is crucial. In this study, we explore whether habitat preferences acting at different spatial scales enhance the fitness of bird species, and check the appropriateness of single vs. multi-scale models. We expected that variables found to be more important for habitat selection at individual scale(s), would coherently play a major role in affecting nest survival at the same scale(s).MethodsWe considered habitat preferences of two Rallidae species, little crake (Zapornia parva) and water rail (Rallus aquaticus), at three spatial scales (landscape, territory, and nest-site) and related them to nest survival. Single-scale versus multi-scale models (GLS and glmmPQL) were compared to check which model better described adaptiveness of habitat preferences. Consistency between the effect of variables on habitat selection and on nest survival was checked to investigate their adaptive value.ResultsIn both species, multi-scale models for nest survival were more supported than single-scale ones. In little crake, the multi-scale model indicated vegetation density and water depth at the territory scale, as well as vegetation height at nest-site scale, as the most important variables. The first two variables were among the most important for nest survival and habitat selection, and the coherent effects suggested the adaptive value of habitat preferences. In water rail, the multi-scale model of nest survival showed vegetation density at territory scale and extent of emergent vegetation within landscape scale as the most important ones, although we found a consistent effect with the habitat selection model (and hence evidence for adaptiveness) only for the former.DiscussionOur work suggests caution when interpreting adaptiveness of habitat preferences at a single spatial scale because such an approach may under- or over-estimate the importance of habitat factors. As an example, we found evidence only for a weak effect of water depth at territory scale on little crake nest survival; however, according to the multi-scale analysis, such effect turned out to be important and appeared highly adaptive. Therefore, multi-scale approaches to the study of adaptive explanations for habitat selection mechanisms should be promoted.


Author(s):  
Martinn Emilio Pereda Solis ◽  
Manuel Armando Salazar Borunda ◽  
Pablito Marcelo López Serrano ◽  
Luis Antonio Tarango Arámbula ◽  
Jorge Armando Chávez Simental ◽  
...  

Objective: To characterize the realized niche of the Mexican spotted owl (Strix occidentalis lucida) and compare the environmental values it uses within the Mexican physiographic provinces.Design/methodology/approach: The environmental temperature variables (n =7), precipitation (n = 7) and elevation (n = 1) were extracted from 79 unique occurrences sites of S. o. lucida. These values were grouped by physiographic provinces: Sierra Madre Occidental (n = 59), Sierra Madre Oriental (n = 13) and Transversal Neovolcanic Belt (n = 6). The climate and elevation of these sites were described and compared via non-parametric Kruskal-Wallis and Bonferroni-Dunn tests (P ? 0.05).Results: The presences of the spotted owls were both, dispersed and focallydistributed, over the geographic space in Mexico. The temperature and elevation variables have similar characteristics in the assessed physiographic provinces. To be noted, the precipitation variables showed significant differences among sites.Limitations on study/implications: This study describes the environmental characteristics of the realized niche of the Mexican spotted owl; however, it isnecessary to investigate other habitat variables at a smaller scale. Findings/conclusions: The temperature and elevation environmentalcharacteristics of the ecological niche of the Mexican spotted owl was similar between physiographic provinces.


Author(s):  
R. Gutierrez ◽  
Douglas Call ◽  
Sarah Rinkevich

The main objective of this study is to estimate the distribution, habitat use, and reproductive status of Mexican spotted owls (Strix occidentalis lucida) in Zion National Park. This information will allow managers to coordinate park activities that potentially conflict with nest sites, roost sites, or brood rearing habitats. Other objectives of this study are to estimate spotted owl food habits and fledgling success, and to compare these findings with other North American spotted owl populations.


2021 ◽  
Vol 36 (2) ◽  
pp. 455-474
Author(s):  
Eric Ash ◽  
David W. Macdonald ◽  
Samuel A. Cushman ◽  
Adisorn Noochdumrong ◽  
Tim Redford ◽  
...  

Abstract Context Species habitat suitability models rarely incorporate multiple spatial scales or functional shapes of a species’ response to covariates. Optimizing models for these factors may produce more robust, reliable, and informative habitat suitability models, which can be beneficial for the conservation of rare and endangered species, such as tigers (Panthera tigris). Objectives We provide the first formal assessment of the relative impacts of scale-optimization and shape-optimization on model performance and habitat suitability predictions. We explored how optimization influences conclusions regarding habitat selection and mapped probability of occurrence. Methods We collated environmental variables expected to affect tiger occurrence, calculating focal statistics and landscape metrics at spatial scales ranging from 250 m to 16 km. We then constructed a set of presence–absence generalized linear models including: (1) single-scale optimized models (SSO); (2) a multi-scale optimized model (MSO); (3) single-scale shape-optimized models (SSSO) and (4) a multi-scale- and shape-optimized model (MSSO). We compared performance and resulting prediction maps for top performing models. Results The SSO (16 km), SSSO (16 km), MSO, and MSSO models performed equally well (AUC > 0.9). However, these differed substantially in prediction and mapped habitat suitability, leading to different ecological understanding and potentially divergent conservation recommendations. Habitat selection was highly scale-dependent and the strongest relationships with environmental variables were at the broadest scales analysed. Modelling approach had a substantial influence in variable importance among top models. Conclusions Our results suggest that optimization of the scale of resource selection is crucial in modelling tiger habitat selection. However, in this analysis, shape-optimization did not improve model performance.


The Auk ◽  
2006 ◽  
Vol 123 (4) ◽  
pp. 1090-1102 ◽  
Author(s):  
George F. Barrowclough ◽  
Jeff G. Groth ◽  
Lisa A. Mertz ◽  
R. J. Gutiérrez

Abstract We used mitochondrial DNA control-region sequences to investigate the genetic structure of Mexican Spotted Owl (Strix occidentalis lucida) populations in the southwestern United States. This subspecies is federally listed as threatened, and its preferred habitat is naturally fragmented. We found that intrapopulation genetic diversity was high in all but the southeastern Arizona “sky island” populations, where it was variable. Genetic variance partitioning indicated that ≈17% of the variation was distributed among populations and 7.5% was distributed among physiographic regions. Patterns of genetic correlation with geographic distance indicated that gene flow was substantial among populations within the relatively continuous habitat zone of the Mogollon Rim-Upper Gila Mountains in central Arizona and west-central New Mexico. However, there was significant isolation-by-distance elsewhere, and estimates of genetic divergence increased exponentially with geographic distance among fragmented populations on the scale of a few hundreds of kilometers; this implies that gene flow is restricted among those habitat fragments. Genetic heterogeneity among southeastern Arizona populations suggest that they have regularly received immigrants from the central Arizona populations. The Colorado population either was larger than thought or, more likely, has continuously received immigrants from elsewhere and is not a self-sustaining population. Estructura Genética de las Poblaciones de Strix occidentalis lucida en un Paisaje Fragmentado


The Auk ◽  
2002 ◽  
Vol 119 (2) ◽  
pp. 321-334 ◽  
Author(s):  
Mark E. Seamans ◽  
R. J. Gutiérrez ◽  
Christopher A. May

Abstract Understanding the mechanisms causing temporal variability in demographic parameters is essential to understanding fluctuations in populations. As part of a long-term demographic study, we evaluated influence of climate on Mexican Spotted Owl (Strix occidentalis lucida) annual survival and reproduction in two study areas, one in Arizona and one in New Mexico. Spotted Owl survival in New Mexico and reproductive output in both study areas were positively related to total amounts of precipitation from the previous year, previous winter, or monsoon season. For both study areas, temporal process variation in reproductive output (CV[R] = 51.2 and 75.2% for Arizona and New Mexico, respectively) was greater than that for survival (CV[ϕ] = 12.9 and 7.1% for Arizona and New Mexico, respectively). Precipitation from the previous year explained 73% of σ̂2temporal reproductive output for Arizona owls and precipitation from the previous monsoon explained 42% of σ̂2temporal in reproductive output for New Mexico owls. Precipitation from the previous monsoon season explained 53% of σ̂2temporal in Arizona owl survival and precipitation from the previous winter explained 56% of σ̂2temporal in New Mexico owl survival. The two populations of Spotted Owls we studied appeared to have the same life-history strategy hypothesized for a population of Northern Spotted Owls (S. o. caurina), although the Mexican subspecies apparently responded quite differently to climatic variation.


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