Determinants Of Bird Species Richness, Endemism, And Island Network Roles In Wallacea And The West Indies: Is Geography Sufficient Or Does Current And Historical Climate Matter?

Island biogeography has greatly contributed to our understanding of the processes determining species' distributions. Previous research has focused on the effects of island geography (i.e., island area, elevation, and isolation) and current climate as drivers of island species richness and endemism. Here, we evaluate the potential additional effects of historical climate on breeding land bird richness and endemism in Wallacea and the West Indies. Furthermore, on the basis of species distributions, we identify island biogeographical network roles and examine their association with geography, current and historical climate, and bird richness/endemism. We found that island geography, especially island area but also isolation and elevation, largely explained the variation in island species richness and endemism. Current and historical climate only added marginally to our understanding of the distribution of species on islands, and this was idiosyncratic to each archipelago. In the West Indies, endemic richness was slightly reduced on islands with historically unstable climates; weak support for the opposite was found in Wallacea. In both archipelagos, large islands with many endemics and situated far from other large islands had high importance for the linkage within modules, indicating that these islands potentially act as speciation pumps and source islands for surrounding smaller islands within the module and, thus, define the biogeographical modules. Large islands situated far from the mainland and/or with a high number of nonendemics acted as links between modules. Additionally, in Wallacea, but not in the West Indies, climatically unstable islands tended to interlink biogeographical modules. The weak and idiosyncratic effect of historical climate on island richness, endemism, and network roles indicates that historical climate had little effects on extinction-immigration dynamics. This is in contrast to the strong effect of historical climate observed on the mainland, possibly because surrounding oceans buffer against strong climate oscillations and because geography is a strong determinant of island richness, endemism and network roles. We evaluate the potential additional effects of historical climate on native breeding land bird species richness, endemism and island network roles in Wallacea and the West Indies. We find that island geography, especially island area but also isolation and elevation, largely explained the variation in island species richness and endemism, and that island network roles are tightly linked to geography and endemism. The weak and idiosyncratic effect of historical climate on island richness, endemism and network roles indicates that historical climate had little effects on extinction-immigration dynamics in Wallacea and the West Indies. This is in contrast to the strong effect of historical climate observed on the mainland, possibly because surrounding oceans buffer against strong climate oscillations and because geography is a strong determinant of island richness, endemism and network roles

The relationship between patient data and pooled clinical management decisions

A strong relationship between patient data and preoperative clinical decisions could potentially be used to support clinical decisions in preoperative management. The aim of this exploratory study was to determine the relationship between key patient data and pooled clinical opinions on management. Ina previous study, panels of anaesthetists compared the quality of computer-assisted patient health assessments with outpatient consultations and made decisions on the need for preoperative tests, no preoperative outpatient assessment, possible postoperative intensive care unit/high dependency unit requirements and aspiration prophylaxis. In the current study, the relationship between patient data and these decisions was examined using binomial logistic regression analysis. Backward stepwise regression was used to identify independent predictors of each decision (at P <0.15), which were then incorporated into a predictive model. The number of factors related to each decision varied: blood picture (four factors), biochemistry (six factors), coagulation studies (three factors), electrocardiography (eight factors), chest X-ray (seven factors), preoperative outpatient assessment (17 factors), intensive care unit requirement (eight factors) and aspiration prophylaxis (one factor). The factor types also varied, but included surgical complexity, age, gender, number of medications or comorbidities, body mass index, hypertension, central nervous system condition, heart disease, sleep apnoea, smoking, persistent pain and stroke. Models based on these relationships usually demonstrated good sensitivity and specificity, with receiver operating characteristics with the following areas under curve: blood picture (0.75), biochemistry (0.86), coagulation studies (0.71), electrocardiography (0.90), chest X-ray (0.85), outpatient assessment (0.85), postoperative intensive care unit requirement (0.88) and aspiration prophylaxis (0.85). These initial results suggest modelling of patient data may have utility supporting clinicians' preoperative decisions.G. L. Ludbrook, E. J. O'loughlin, C. Grant, T B. Corcora

Native and alien flower visitors differ in partner fidelity and network integration

<div><div>These data files support the following publication</div><div><br></div><div>Trøjelsgaard, K., Heleno, R., & Traveset, A. <b>Native and alien flower visitors differ in partner fidelity and network integration</b>. Ecology Letters, <i>accepted. </i>doi: 10.1111/ele.13287</div><div><i><br></i></div><div>For more details see the Read Me file or the original publication.</div></div><div><br></div><div><b><u>Abstract</u></b></div><div>Globalisation persistently fuels the establishment of non-native species outside their natural ranges. While alien plants have been intensively studied little is known about alien flower visitors, and especially, how they integrate into natural communities. Here we focus on mutualistic networks from five Galápagos islands to quantify whether alien and native flower visitors differ consistently in their pairwise interactions. We find that i) alien flower visitors have more interaction partners and larger species strengths (i.e. plants are more connected to alien insects), ii) native insects tend to have higher partner fidelity as they deviate more from random partner utilization, and iii) the difference between native and alien flower visitors in network integration intensifies with island degradation. Thus, native and alien flower visitors are not interchangeable, and alien establishment might have yet unforeseen consequences for the pairwise dynamics between plants and flower visitors on the Galápagos – especially on the heavily disturbed islands. <br></div