57 research outputs found
Figure 2 in Reptile distribution may identify terrestrial islands for conservation: the Levant's 'Arava Valley as a model
Figure 2. Young male Gazella gazella acaciae Mendelssohn et al. (1997) from the 'Arava Valley, photographed for identification in January 1964 in the then Elat Zoo, Israel, 33 years before the taxon was recognized and described (photo: YL & N Werner).Published as part of Seifan, Merav, Zohar, Yaara & Werner, Yehudah L., 2016, Reptile distribution may identify terrestrial islands for conservation: the Levant's 'Arava Valley as a model, pp. 2783-2801 in Journal of Natural History 50 on page 2788, DOI: 10.1080/00222933.2016.1205154, http://zenodo.org/record/399293
Figure 1 in Reptile distribution may identify terrestrial islands for conservation: the Levant's 'Arava Valley as a model
Figure 1. Schematic map of Cisjordan, Transjordan and the 'Arava valley shared by them. The number of squamate taxa in an area is encircled in that area. The number of species shared by two areas is in the arc bridging them. In the middle of the southern complex is a bridge joining all three areas. (Technique inspired by figures 92 and 95 in Anderson 1968).Published as part of Seifan, Merav, Zohar, Yaara & Werner, Yehudah L., 2016, Reptile distribution may identify terrestrial islands for conservation: the Levant's 'Arava Valley as a model, pp. 2783-2801 in Journal of Natural History 50 on page 2785, DOI: 10.1080/00222933.2016.1205154, http://zenodo.org/record/399293
Seifan et al - Field survey information
Species recorded in the field survey under different environmental conditions. DRY/WET – plots with low/high flooding probabilities respectively; M+/ M– – plots with/without mole activity respectively. For each species listed, its abundance (number of individuals found in the survey plots) per environmental condition is given
Data from: Effects of plant and pollinator traits on the maintenance of a food deceptive species within a plant community
Model-mimic plant systems are well known. However, the conditions promoting the existence of such systems are still an enigma. We suggest that by focusing on floral similarity between model and mimic, reward levels offered by models, and pollinators' ability to adjust foraging accordingly, the conditions can be better understood. Using spatially-explicit modelling, we examined trait combinations that lead to the survival of deceptive species under a large range of mimic strategies, from Batesian mimicry to general food deception. Unlike previous models studying such systems, we examined model-mimic interactions in the presence of a third, dissimilar species, thus generating a more realistic scenario where pollinators may avoid the model-mimic system altogether. Results showed that overall survival and abundance of species in food deceptive systems depend on the relative reward provided by the participating species and the potential alternatives available. Specifically, the success of a mimic in a Batesian mimicry system depends on high levels of reward provided by its model species relative to potential alternatives in the flower community. On the other hand, the success of a mimic in a general food deception system was higher when the reward offered was lower. Our study suggests that the ability of pollinators to utilize their experience as part of decision-making is highly relevant in promoting mimic survival, thus shedding light on the conditions under which food deception is expected
Coefficients for best survival model
Coeeficients and SE for the selected survival model for each of the plant species. The models were selected by forward selection process out of the set of Cox proportional hazard regressions constructed of all combinations of the model explanatory factors
Coefficients for best pollinator visit models
Model coefficients and SE for the selected best model for each of the plant species. The models were selected by forward selection process out of the GLMM of all combinations of the model explanatory factors
Too much of a good thing: Shrub benefactors are less important in higher diversity arid ecosystems
The biodiversity–ecosystem function literature provides a useful framework to examine many processes associated with species diversity in ecology. One such context is the maintenance of biodiversity by facilitation in arid ecosystems. Here, we examined the complex interactions between local plant species richness and the intensity of shrub facilitation for maintaining biodiversity in arid plant communities. A synthesis including a meta-analysis was used to compile nearly 600 papers on positive interactions mediated by shrubs in dryland plant communities (search terms: shrub, positive, facilitat*) to examine whether interactions in these studies changed with reported local species richness. A total of 19 studies and 141 independent instances directly examined and reported facilitation of diversity measures in naturally assembled plant communities and provided estimates of local species richness. Synthesis. The net effect of increasing local plant species richness was negative and shifted the relative frequency of interactions with shrubs from positive to negative with increasing local species richness. This relationship suggests that increases in richness do not always enhance functions that maintain diversity in plants communities likely due to concurrent increases in the indirect negative interactions between species under shrubs or in changes in the local species pool.Fil: Lortie, Christopher J.. University of California; Estados Unidos. York University; CanadáFil: Zuliani, Mario. York University; CanadáFil: Ghazian, Nargol. York University; CanadáFil: Haas, Stephanie. York University; CanadáFil: Braun, Jenna. York University; CanadáFil: Owen, Malory. York University; CanadáFil: Miguel, María Florencia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Provincia de Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Universidad Nacional de Cuyo. Instituto Argentino de Investigaciones de las Zonas Áridas; ArgentinaFil: Seifan, Merav. Ben Gurion University of the Negev; IsraelFil: Filazzola, Alessandro. York University; CanadáFil: Lucero, Jacob. York University; Canad
A spatially explicit agent-based simulation platform for investigating effects of shared pollination service on ecological communities
Coefficients for best pollinator choice model
Model coefficients and SE for best pollinator choice model. The models were selected by forward selection process out of the GLM of all combinations of the model explanatory factors
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