Bringing more exploration and interaction to scenario modeling and data visualisation through 3D GIS and Virtual Reality

A prototype 3D GIS and Virtual Reality model has been developed to present future scenarios of woodland expansion and climate data visualisation. Spatial Multi-criteria Analysis has been applied to decide where to plant new forests, recognizing a range of land-use objectives. 3D responsive pie and bar charts have been created and integrated with the virtual landscape model which is used to convey attractive and understandable information. Findings show it has potential implications for the planning of future woodland and interactive data visualisation to increase the effectiveness of their use and contribution to wider sustainable ecosystems

Soil pH and organic matter content add explanatory power to Northern Lapwing Vanellus vanellus distribution models and suggest soil amendment as a conservation measure on upland farmland

Habitat associations of farmland birds are well studied, yet few have considered relationships between species distribution and soil properties. Charadriiform waders (shorebirds) depend upon penetrable soils, rich in invertebrate prey. Many species, such as the Northern Lapwing Vanellus vanellus, have undergone severe declines across Europe, despite being targeted by agri-environment measures. This study assessed whether there were additive effects of soil variables (depth, pH and organic matter content) in explaining Lapwing distribution, after controlling for known habitat relationships, at 89 farmland sites across Scotland. The addition of these soil variables and their association with elevation improved model fit by 55\%, in comparison with models containing only previously established habitat relationships. Lapwing density was greatest at sites at higher elevation, but only those with less peaty and less acidic soil. Lapwing distribution is being constrained between intensively managed lowland farmland with favourable soil conditions and upland sites where lower management intensity favours Lapwings but edaphic conditions limit their distribution. Trials of soil amendments such as liming are needed on higher elevation grassland sites to test whether they could contribute to conservation management for breeding Lapwings and other species of conservation concern that depend upon soil-dwelling invertebrates in grassland soils, such as Eurasian Curlew Numenius arquata, Common Starling Sturnus vulgaris and Ring Ouzel Turdus torquatus. Results from such trials could support improvement and targeting of agri-environment schemes and other conservation measures in upland grassland systems

Patrones de actividad de dos morfos de coloración de la vulnerable güiña, Leopardus guigna (Molina, 1872), en bosques templados del sur de Chile

Entregamos el primer análisis de patrones de actividad exhibidos por morfos moteados y melánicos de la vulnerable güiña Leopardus guigna, en un paisaje de bosque del sur de Chile. Cámaras trampas mostraron que las güiñas estuvieron mayoritariamente activas en la noche (64% de fotos). Las güiñas melánicas fueron más nocturnas (82% de fotos) que las moteadas más comunes (57%). Las güiñas moteadas estuvieron más activas en noches nubosas y oscuras. Nuestro estudio provee nuevos resultados sobre la plasticidad conductual de la guiña en diferentes condiciones ambientales, y la ventaja relativa de cada morfo para persistir en un paisaje cada vez más dominado por el ser humano.Here we provide the first analysis of activity patterns exhibited by spotted and melanistic colour morphs of the vulnerable guiña Leopardus guigna, in a forest landscape of southern Chile. Camera traps showed guiñas were mainly active at night (64% of photos). Melanistic guiñas were more nocturnal (82% of photos) than the more common spotted cats (57%). Spotted guiñas were more active on cloudy and moonless nights. Our study provides novel findings about the behavioural plasticity of guiña in different ambient conditions, and the relative advantage to each colour morph to persist in an increasingly human-dominated landscape

The potential for modelling peatland habitat condition in Scotland using long-term MODIS data

Funding: All James Hutton Institute authors are supported by the Scottish Government’s Rural and Environment Research and Analysis Directorate under the current Strategic Research Programme (2016-2021). Sally Johnson, Patricia Bruneau and Louise Ross did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors for this project. The peat spatial extent model was created in part within a UK Government – Department for Business, Energy and Industrial Strategy-funded project (TRN860/07/2014, Scoping the use of the methodology set out in Chapters 2 and 3 of the ‘2013 Supplement to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories: Wetlands in the UK GHG Inventory: Land Use, Land Use Change and Forestry (LULUCF)), with further updates created within the Strategic Research Programme (2016-2021) funding.Peer reviewedPostprin

Knowledge sharing, problem solving and professional development in a Scottish Ecosystem Services Community of Practice

The ecosystem services framework has now been embodied in policy and practice, creating the need for governance structures that allow science, policy and practice to come together and facilitate shared learning. We describe five years of progress in developing an Ecosystem Services Community of Practice in Scotland, which brings together over 600 individuals from diverse constituencies to share experiences and learn from each other. We consider the ‘community’ and ‘practice’ aspects to demonstrate the benefits of establishing an Ecosystem Services Community (ESCom). We also demonstrate how the journey involved in the creation and continuing evolution of ESCom has proved valuable to researchers, policy-makers, practitioners and students and as such has contributed to social learning. We reflect on challenges, given the voluntary nature, absence of formal institutional support and emergence of initiatives focusing on overlapping topics. Based on our experience, we provide ten recommendations to help future ecosystem services communities of practice

A conditional simulation of acoustic survey data:Advantages and potential pitfalls

Standard geostatistical techniques provide effective methods for estimating the global abundance and precision of a variable of interest, for mapping its spatial distribution and for describing its spatial structure. In the case of acoustic survey data, however, obtaining a measure of precision of the global abundance estimate is confounded by the combination of variances from the interpolation of both the acoustic data and the concomitant fish length data. Even if the global estimation variance could be calculated, the distribution of the estimation error is not known and so confidence intervals cannot be determined. Furthermore, kriged distribution maps, in minimising the estimation variance, tend to smooth out local details of the attribute’s spatial variation: small values can be overestimated and larger ones underestimated, such that the kriged map is smoother than reality. This can lead to serious shortcomings when trying to detect patterns of extreme attribute values, such as the high densities encountered in some fish schools. Stochastic geostatistical simulations, conditional on sampled locations, provide a solution to many of these problems. They can deliver a measure of uncertainty for local (density) estimates, a confidence interval estimation for the global mean density, and finally, reproduce global statistics, such as the sample histogram and variogram. In so doing, they also provide maps of the attribute, which are spatially realistic because the variogram is reproduced; these are generated as a number of equiprobable realisations. In the present paper, we apply these techniques to acoustic data from an acoustic survey of North Sea herring. Sequential gaussian simulations are used to generate realisations for fish length and values of the nautical area scattering coefficient. These are then combined to produce realisations of herring density. The combined set of multiple realisations is then used to provide confidence intervals for the global abundance estimate: 95% of the herring abundance estimates are between 5677 and 6271 millions of individuals. Although the method presented in this paper contributes to the assessment of total uncertainty for acoustic surveys, the approach may have suffered from bias due to the use of off-the-shelf data transformation algorithms on fisheries acoustic data, which are often very positively skewed. We discuss this limitation and propose corrections for future work