Search

Expanding populations of geese feeding on farmland during winter and spring conflict with agricultural interests along their migratory flyway in north-western Europe. In Mid-Norway, farmers scare spring-staging pink-footed geese Anser brachyrhynchus off their land to protect crops, and this has had clear effects on goose distribution. To protect the geese, Norwegian authorities have implemented economic compensation to farmers to discourage scaring, but this has not been prioritised to accommodate the biological requirements and dispersal patterns of the geese, though such an approach is clearly needed. To address this need, we assessed the negative effects of scaring geese during 2004–2007, and built a species distribution model to identify sites suitable for goose foraging. We subsequently combined known foraging sites with sites identified by our model and prioritised these sites according to their connectivity, perimeter area ratio, years of historic use and proximity to roost. By combining historic data on foraging sites, a species distribution model, and a simple, accountable site selection process we demonstrate how the current compensation scheme can be made 10 times more efficient through strategic prioritisation. Our approach has direct implications for alleviating similar goose-agriculture conflicts throughout Europe. [Copyright &y& Elsevier]

Tropical coastal areas are increasingly exposed to temperature extremes from marine heatwaves and contaminants from anthropogenic activities. The interactive effects of these environmental changes on marine life are understudied. We investigated the direct and cross-generational effects of copper (Cu) on F0 and F1 generations of the common tropical copepod Pseudodiaptomus annandalei under extreme temperatures (30 and 34 °C). In F0, Cu exposure reduced survival and nauplii production; these patterns were more pronounced at 34 °C and in females. F0 Copepods produced more faecal pellets at 34 °C than 30 °C, indicating a higher energetic demand. In F1, the number of F1 adults was lower in Cu F0 and at 34 °C. Cu-exposed F0 produced larger adult F1, while exposure to 34 °C resulted in smaller adult F1. Our results show that tropical copepods are highly vulnerable to the interactive effects of contaminants and extreme temperatures. Unlabelled Image • Tropical copepods are assumed to be highly vulnerable to pollutants and warming. • Tropical copepod Pseudodiaptomus annandalei was exposed to Cu and temperature. • Cu reduced survival and nauplii production, especially at higher temperature. • In F1, the number of F1 adults was lower in Cu-F0 and at 34 °C. • Potential cascading effects on the entire tropical coastal food web [ABSTRACT FROM AUTHOR]

Little is known about species distribution patterns in deep-sea environments, primarily because sampling surveys in the high seas are expensive and time consuming. The increasing need to manage and protect vulnerable marine ecosystems, such as cold-water corals, has motivated the use of predictive modelling tools, which produce continuous maps of potential species or habitat distribution from limited point observations and full coverage environmental data. Rapid advances in acoustic remote sensing, oceanographic modelling and sampling technology now provide high quality datasets, facilitating model development with high spatial detail. This paper provides a short overview of existing methodologies for predicting deep-sea benthic species distribution, and illustrates emerging issues related to spatial and thematic data resolution, and the use of transect-derived species distribution data. In order to enhance the ecological relevance and reliability of deep-sea species distribution models, novel techniques are presented based on a case study predicting the distribution of the cold-water coral Lophelia pertusa in three carbonate mound provinces in Irish waters. Specifically, the study evaluates (1) the capacity of newly developed high-resolution (250 m grid cell size) hydrodynamic variables to explain local scale cold-water coral distribution patterns, (2) the potential value of species occurrence proportion data to maintain semi-quantitative information of coral prevalence (i.e. coverage) and sampling effort per grid cell within the response variable, and (3) mixed effect modelling to deal with spatially grouped transect data. The study shows that predictive models using vertical and horizontal flow parameters perform significantly better than models based on terrain parameters only. Semi-quantitative proportion data may decrease model uncertainty and increase model reliability, and provide a fruitful avenue of research for analysing large quantities of video data in a detailed yet time-efficient manner. The study concludes with an outlook of how species distribution models could improve our understanding of vulnerable marine ecosystem functioning and processes in the deep sea. [ABSTRACT FROM AUTHOR]

Seismic surveys are frequently a matter of concern regarding their potentially negative impacts on marine mammals. In the Southern Ocean, which provides a critical habitat for several endangered cetacean species, seismic research activities are undertaken at a circumpolar scale. In order to minimize impacts of these surveys, pre-cruise planning requires detailed, spatio-temporally resolved knowledge on the likelihood of encountering these species in the survey area. In this publication we present predictive habitat modelling as a potential tool to support decisions for survey planning. We associated opportunistic sightings (2005-2011) of humpback (Megaptera novaeangliae, N=93) and Antarctic minke whales (Balaenoptera bonaerensis, N=139) with a range of static and dynamic environmental variables. A maximum entropy algorithm (Maxent) was used to develop habitat models and to calculate daily basinwide/circumpolar prediction maps to evaluate how species-specific habitat conditions evolved throughout the spring and summer months. For both species, prediction maps revealed considerable changes in habitat suitability throughout the season. Suitable humpback whale habitat occurred predominantly in ice-free areas, expanding southwards with the retreating sea ice edge, whereas suitable Antarctic minke whale habitat was consistently predicted within sea ice covered areas. Daily, large-scale prediction maps provide a valuable tool to design layout and timing of seismic surveys as they allow the identification and consideration of potential spatio-temporal hotspots to minimize potential impacts of seismic surveys on Antarctic cetacean species. [ABSTRACT FROM AUTHOR]

Highlights: [•] The present situation of declining seagrasses may be exacerbated by global change drivers. [•] We projected seagrass distribution coupling habitat suitability and hydrographical models. [•] Increasing seawater temperatures will trigger a poleward shift of Z. noltii habitat suitability. [•] The loss of southernmost populations due to climate change may imply future conservation problems. [•] SLR will increase Z. noltii suitable area in meso-macrotidal estuaries up to artificial limits. [Copyright &y& Elsevier]