Abstract: Considering loss of biodiversity a global threat, cost-effective tools for monitoring spatial distribution of species are relevant for conservation planning. The aims of this study were (a) to compare the global pattern of species richness in Cuculidae with species richness of birds, amphibians and mammals; (b) whether it is spatially congruent with hotspot areas of biodiversity at a global scale; and (c) whether the distribution of night light intensity reflecting human population density is associated with cuckoo species richness. We mapped the global distribution of all cuckoo species, classified as parasitic or non-parasitic species. Species richness was calculated at a fixed spatial scale for: Cuculidae, amphibians, birds and mammals. We applied Generalized Linear Mixed Models in order to explore the associations between species richness of each group of animals, night light intensity and hotspots of biodiversity areas at a global scale.
Worldwide patterns of species richness of parasitic and non-parasitic cuckoos reflected species richness of birds, amphibians and mammals. In addition, and importantly, species richness of cuckoos was spatially congruent with hotspot areas of biodiversity across the world. Finally, night light intensity was slightly positively associated with species richness of parasitic cuckoos. Our findings confirmed that cuckoos constitute an important surrogate of high species richness of different animal taxa at a global scale: It is easy to learn how to identify cuckoos, whereas other species of birds, mammals or amphibians can only be identified by specialists. Our findings also suggest that other parasitic cuckoo species can be used as a biodiversity surrogate in a similar way as the common cuckoo in Eurasia.

Abstract: AIMS: Electric lighting is beneficial to modern society; however, it is becoming apparent that light at night (LAN) is not without biological consequences. Several studies have reported negative effects of LAN on health and behavior in humans and nonhuman animals. Exposure of non-diabetic mice to dim LAN impairs glucose tolerance, whereas a return to dark nights (LD) reverses this impairment. We predicted that exposure to LAN would exacerbate the metabolic abnormalities in TALLYHO/JngJ (TH) mice, a polygenic model of type 2 diabetes mellitus (T2DM). MATERIALS AND METHODS: We exposed 7-week old male TH mice to either LD or LAN for 8-10weeks in two separate experiments. After 8weeks of light treatment, we conducted intraperitoneal glucose tolerance testing (ipGTT) followed by intraperitoneal insulin tolerance testing (ipITT). In Experiment 1, all mice were returned to LD for 4weeks, and ipITT was repeated. KEY FINDINGS: The major results of this study are i) LAN exposure for 8weeks exacerbates glucose intolerance and insulin resistance ii) the effects of LAN on insulin resistance are reversed upon return to LD, iii) LAN exposure results in a greater increase in body weight compared to LD exposure, iv) LAN increases the incidence of mice developing overt T2DM, and v) LAN exposure decreases survival of mice with T2DM. SIGNIFICANCE: In conclusion, LAN exacerbated metabolic abnormalities in a polygenic mouse model of T2DM, and these effects were reversed upon return to dark nights. The applicability of these findings to humans with T2DM needs to be determined.

Abstract: Marine birds are vulnerable to collision with and displacement by offshore wind energy infrastructure (OWEI). Here we present the first assessment of marine bird vulnerability to potential OWEI in the California Current System portion of the U.S. Pacific Outer Continental Shelf (POCS). Using population size, demography, life history, flight heights, and avoidance behavior for 62 seabird and 19 marine water bird species that occur in the POCS, we present and apply equations to calculate Population Vulnerability, Collision Vulnerability, and Displacement Vulnerability to OWEI for each species. Species with greatest Population vulnerability included those listed as species of concern (e.g., Least Tern [Sternula antillarum], Marbled Murrelet [Brachyramphus marmoratus], Pink-footed Shearwater [Puffinus creatopus]) and resident year-round species with small population sizes (e.g., Ashy Storm-Petrel [Oceanodroma homochroa], Brandt's Cormorant [Phalacrocorax penicillatus], and Brown Pelican [Pelecanus occidentalis]). Species groups with the greatest Collision Vulnerability included jaegers/skuas, pelicans, terns and gulls that spend significant amounts of time flying at rotor sweep zone height and don't show macro-avoidance behavior (avoidance of entire OWEI area). Species groups with the greatest Displacement Vulnerability show high macro-avoidance behavior and low habitat flexibility and included loons, grebes, sea ducks, and alcids. Using at-sea survey data from the southern POCS, we combined species-specific vulnerabilities described above with at-sea species densities to assess vulnerabilities spatially. Spatial vulnerability densities were greatest in areas with high species densities (e.g., near-shore areas) and locations where species with high vulnerability were found in abundance. Our vulnerability assessment helps understand and minimize potential impacts of OWEI infrastructure on marine birds in the POCS and could inform management decisions.