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Digital outdoor cameras are increasingly used in wildlife research because they allow species inventories, population estimates, and behavior or activity observations. Which camera model is suitable and practical depends on environmental conditions, focus species and specific scientific questions posed. Here we focused on testing cameras appropriate for elusive species that can be identified visually owing to individual coat patterns. Specifically the camera should be adequate for calculating the minimum population of Eurasian Lynx (Lynx lynx) during a systematic monitoring with camera traps. Therefore we tested six digital camera models with regard to trigger speed and the image quality necessary for visual identification of pacing lynx on trails. The decision if a camera model is adequate for the scientific goal was regulated due to priority levels under laboratory conditions. Only one camera model proved to be suitable for camera-trap monitoring. Our practical camera test can be used to evaluate newer models of digital cameras as they become available. This application opens an avenue for a non-invasive population monitoring of rare and elusive species in a low mountain range area.
Herbaceous ground vegetation is an important pool of biomass and nutrients, which is also used as the major forage source for wild ungulates. Up to now no standard methods exist to estimate herbaceous biomass on a landscape level for temperate forests, which are characterised by deciduous trees with closed canopies. Quantity and quality of the herbaceous forage accessible to herbivores can be estimated from estimated cover in vegetation plot data and information on biomass and element concentrations in plant species. Vegetation was sampled stratified by community types and forest developmental phases in Bavarian Forst National Park, Germany. We adopted the PhytoCalc model to estimate biomass and bioelement stocks from vegetation plot data and adjusted species assignments and absolute levels of biomass to the conditions in the national park. We categorised attractiveness of plant species as forage for red deer (Cervus elaphus) and roe deer (Capreolus capreolus). Multiple controls of total biomass and of plant groups (graminoids, ferns, herbs, Vaccinium, Rubus) were studied by stepwise regression against stand and environmental predictors. Herbaceous mass had a highly skewed distribution in the park, with 75% of plots having less than 231 g*m-2 of biomass or 24 g*m-2 of raw protein. Contributions of plant groups were site-dependent and variable, but decreased in the order Vaccinium-graminoids-Rubus-herbs-ferns. Biomass appeared to be controlled by deciduous tree cover, by total cover of canopy and coarse woody debris and by site quality, with nutrient-poor, high elevation sites having higher herb biomass. As a consequence, montane beech forests offered less forage mass than coniferous communities of high elevations and mires. Stand disturbances by bark beetles and the corresponding forest developmental phases had no systematic effects on total biomass.
Aim: Knowledge concerning species distribution is important for biodiversity conservation and environmental management. Fungi form a large and diverse group of species and play a key role in nutrient cycling and carbon storage. However, our understanding of fungal diversity and distribution remains limited, particularly at large spatial scales. Here, we predicted the diversity and distribution of ectomycorrhizal and saprotrophic macrofungi at relatively fine spatial resolution at a continental scale and examined the importance of variables that affect the distribution of these two functional groups. Location: Europe. Time period: 1990–2018. Major taxa studied: Macrofungi. Methods: From observations of 1,845 macrofungal species, we predicted the diversity and distribution of two functional groups of macrofungi at a resolution of 5 km across eight European countries based on 25 environmental variables using the MAXENT model. We determined the importance of variables that affect the distribution of these two functional groups of macrofungi using the built-in jackknife test in the model. Results: Analysis of the modelling results showed that eastern Denmark and southern Sweden are biodiversity hotspots for both functional groups of macrofungal species. Tree species and human disturbance (i.e., the human footprint index) were found to be the two most important predictor variables explaining the distribution of ectomycorrhizal and saprotrophic macrofungi. Main conclusions: Overall, our study demonstrates that tree species and human disturbance have played a more important role than climatic factors in determining the diversity and distribution of macrofungi at the continental scale. Our study suggests that fungal diversity and distribution might change considerably if the strongest predictors (i.e., tree species) were to be affected by climate change and/or human activity. Changes in fungal diversity might, in turn, influence other processes, because fungi are important in driving ecosystem processes, such as nutrient and carbon cycling.