Spatiotemporal Distribution of Black Bear-Human Conflicts in Colorado,USA

Abstract: Management and conservation of large carnivores increasingly includes conflicts with humans. Consequently, a greater understanding of spatiotemporal trends of conflicts is needed to efficiently allocate resources and apply targeted management. Therefore, we examined spatial and temporal distribution of American black bear (Ursus americanus; hereafter, bear)-human conflicts in Colorado, USA, related to 3 conflict types (agriculture operations, human development, and road kills). We used the Getis-Ord G_i* spatial clustering statistic to describe location and assess magnitude of bear-human conflicts in Colorado during 1986–2003 and investigated temporal trends of bear-human conflicts by type. Bear-human conflicts showed distinct spatial clustering by type, and areas of high clustering overlapped conflict types. Clustering for agriculture operations conflicts had the largest overall G_i* value and overlapped counties with high sheep production. Both human development and road-kill conflict clusters were high in areas of high-quality oak (Quercus spp.)—shrub habitat in the central and southern portions of Colorado's Front Range region and near the city of Durango in southwestern Colorado. Bear-human conflicts varied by year and type but overall increased during the 18 years. Summed across years, most conflicts were related to agriculture (32%), followed by road kills (27%) and human development (24%). The greatest proportion of agriculture operations-related conflicts (76%), human development-related conflicts (36%), and road kills (47%) occurred in 1988, 1999, and 2003, respectively. Considering that bear-human conflicts in Colorado increased over time and will likely continue to increase, we suggest wildlife managers improve data collection by obtaining detailed location data, categorizing conflict types uniformly, and applying conflict regulations consistently to strengthen inference of similar analyses. We also suggest that managers target efforts to mitigate damage by focusing on areas with high clustering of conflicts.     

Analysis of genetic changes in radiated and non-radiated bulk oat (Avena sativa L.) populations

Summary In both radiated and non-radiated oat populations inbreeding coefficients increased more slowly than was expected on the assumption of full selfing and equal selective values for homozygotes and heterozygotes. Assuming 1% outcrossing for oats and a selective value of 1.0 for the mean, the heterozygotes for two loci governing crown rust reaction have an advantage of 50% over the homozygotes. This study supports previous observations that the heterozygote often has a decided advantage in predominantly self-pollinated crops.     

Modulation byn-alkanols of rat cardiac adenylate cyclase activity

Summary n-Alkanols (from methanol to decanol) have a biphasic effect on rat cardiac adenylate cyclase either basal or stimulated by GTP, GppNHp, NaF or hormones (isoproterenol, glucagon, secretin) in the presence of GTP. At high concentration, all the enzyme activities are inhibited. At low concentration, adenylate cyclase activity is either unchanged or potentiated depending on both the stimulus and the alkanols involved. Potentiation is due to an increase of maximum velocity with no change in the activation constant of the enzyme. Basal activity is unchanged as well as the isoproterenol-and glucagon-stimulated enzyme. The secretin-stimulated enzyme is potentiated. It is the guanyl nucleotide regulatory protein-mediated stimulation of adenylate cyclase which is mainly affected. An attempt was made to relate these effects on adenylate cyclase with physical parameters of the alkanols (partition coefficient). From the data obtained as a function of the alkanol chain-length and of temperature on the adenylate cyclase stimulated by GTP, GppNHp, NaF and permanently activated, it is concluded that the increase in efficacy observed in the presence of alkanol is due to an interaction with the protein moeity particularly with the guanyl nucleotide regulatory protein.     

In-depth characterization of the GOTCAB saponins in seven cultivated Gypsophila L. species (Caryophyllaceae) by liquid chromatography coupled with quadrupole-Orbitrap mass spectrometer

Roots of Gypsophila L. (Caryophyllaceae) have been shown to accumulate bidesmosides of triterpenoid carboxylic acids, also called GOTCAB saponins (Glucuronide Oleanane-type Triterpenoid Carboxylic Acid 3, 28-Bidesmosides). The study aimed at in-depth characterization of GOTCABs from root extracts of cultivated Gypsophila scorzonerifolia Ser., G. acutifolia Stev. ex Spreng., G. altissima L., G. pacifica Kom., G. paniculata L., G. oldhamiana Miq. and G. zhegualensis Krasnova using ultra high-performance liquid chromatography coupled with hybrid quadrupol-Orbitrap high resolution mass spectrometry (UHPLC-HRMS). Based on the accurate mass measurements, elemental composition, isotopic peak profiles, fragmentation pattern in tandem mass spectrometry (MS/MS) and literature data, a total of 53 GOTCABs were tentatively identified. In addition, 29 core structures, forming between 2 and 12 isobaric isomers were described. They possess gypsogenin, quillaic and gypsogenic acid as sapogenin, substituted at C-3 with O-β-d-galactopyranosyl-(1 → 2)-[pentosyl-(1 → 3)]-β-d-glucuronopyranoside (β-chain). According to the C-28 ester-bonded oligosaccharide (α-chain) saponins were classified into four groups: GOTCABs with C-28 tetra- and pentasaccharide (type I), GOTCABs with C-28 oligosaccharide substituted with methoxycinnamoyl group (type II), GOTCABs with mono- and diacetylated C-28 oligosaccharide (type III) and GOTCABs with C-28 oligosaccharide substituted with both acetyl and methoxycinamoyl groups (type IV). The possible fragmentation pathways of saponins were proposed. Eleven core structures forming between 2 and 7 isobars are undescribed in the literature. To examine the differences between the assayed Gypsophila species at the same environmental conditions, the variation of saponins was estimated by hierarchical clustering on isobaric fingerprints of GOTCABs. The clustering of the studied species revealed three well-defined clusters. The first cluster comprises G. scorzonerifolia (G1) and G. altissima (G3), characterized by GOTCABs from type III. G. acutifolia (G2) and G. pacifica (G4) formed the second cluster accumulating saponins from types II and III. The third cluster grouped G. paniculata (G5), G. oldhamiana (G6) and G. zhegualensis (G7) sharing GOTCABs from types IV in addition to II and III. This is the first report on the saponins from G. scorzonerifolia and G. zhegualensis. An in-depth depiction of the GOTCAB saponin composition of seven cultivated Gypsophila species was achieved. Therefore, saponins are worth investigating for better understanding of the potential use of Gypsophila roots for pharmaceutical purposes.     

Cooperativity of ligand binding as a function of monomer-dimer equilibrium parameters and acceptor concentration

A general monomer-dimer equilibrium system involving ligand interactions ispresented. Cooperativity features of specific limited models are analyzed by selecting the appropriate family of equilibrium constants from this general scheme. Each system is then characterized in terms of Hill coefficient dependency on alterations in values of equilibrium constants and total acceptor concentration. This method permits comparison of predicted cooperativity trends between systems. Contrasting reports concerning cooperativity dependencies for certain defined equilibrium systems are compared and the discrepancies resolved. Characteristics of cooperativity binding patterns are shown to include symmetry about dimerization association constant values, both positive and negative cooperativity for a single set of parameters, and significant changes in cooperativity features with relatively small changes in equilibrium parameters.     

Relative efficiency of unequal versus equal cluster sizes in cluster randomized trials using generalized estimating equation models

There is growing interest in conducting cluster randomized trials (CRTs). For simplicity in sample size calculation, the cluster sizes are assumed to be identical across all clusters. However, equal cluster sizes are not guaranteed in practice. Therefore, the relative efficiency (RE) of unequal versus equal cluster sizes has been investigated when testing the treatment effect. One of the most important approaches to analyze a set of correlated data is the generalized estimating equation (GEE) proposed by Liang and Zeger, in which the “working correlation structure” is introduced and the association pattern depends on a vector of association parameters denoted by ρ. In this paper, we utilize GEE models to test the treatment effect in a two‐group comparison for continuous, binary, or count data in CRTs. The variances of the estimator of the treatment effect are derived for the different types of outcome. RE is defined as the ratio of variance of the estimator of the treatment effect for equal to unequal cluster sizes. We discuss a commonly used structure in CRTs—exchangeable, and derive the simpler formula of RE with continuous, binary, and count outcomes. Finally, REs are investigated for several scenarios of cluster size distributions through simulation studies. We propose an adjusted sample size due to efficiency loss. Additionally, we also propose an optimal sample size estimation based on the GEE models under a fixed budget for known and unknown association parameter (ρ) in the working correlation structure within the cluster.     

distruct: a program for the graphical display of population structure

In analysis of multilocus genotypes from structured populations, individual coefficients of membership in subpopulations are often estimated using programs such as structure . distruct provides a general method for visualizing these estimated membership coefficients. Subpopulations are represented as colours, and individuals are depicted as bars partitioned into coloured segments that correspond to membership coefficients in the subgroups. distruct , available at http://www.cmb.usc.edu/~noahr/distruct.html , can also be used to display subpopulation assignment probabilities when individuals are assumed to have ancestry in only one group.