Understanding private forest owners’ conceptualisation of forest management : Evidence from a survey in seven European countries

Acknowledgements This paper is written as a part of Cost Action FP1201, Forest Land Ownership Changes in Europe: Significance for Management and Policy (FACESMAP). Laura Bouriaud thanks the Romanian Agency UEFISCDI for helping finance this research through the project PN-II-RU-TE-2014-4-0017. Philippe Deuffic and Elodie Brahic thank Centre National de la Propriete Forestiere (CNPF). The authors are also grateful to the people involved in data collection in the seven European countries. The authors thank the three anonymous reviewers for their useful comments that helped to improve the article.Peer reviewedPostprin

General features of the retinal connectome determine the computation of motion anticipation

Motion anticipation allows the visual system to compensate for the slow speed of phototransduction so that a moving object can be accurately located. This correction is already present in the signal that ganglion cells send from the retina but the biophysical mechanisms underlying this computation are not known. Here we demonstrate that motion anticipation is computed autonomously within the dendritic tree of each ganglion cell and relies on feedforward inhibition. The passive and non-linear interaction of excitatory and inhibitory synapses enables the somatic voltage to encode the actual position of a moving object instead of its delayed representation. General rather than specific features of the retinal connectome govern this computation: an excess of inhibitory inputs over excitatory, with both being randomly distributed, allows tracking of all directions of motion, while the average distance between inputs determines the object velocities that can be compensated for

Perceptions of ownership among new forest owners : A qualitative study in European context

Private forest owners possess a major part of Europe's forests. Therefore, their behaviour plays a significant role in the development and management of European forest resources. At the same time, forest owners' values and objectives are becoming more versatile. There is a need for further understanding of elements affecting forest owners' management behaviour. One aspect of potential impact is how forest ownership is perceived by the forest owners themselves. Understanding how they experience the ownership, especially on the psychological level, can provide new insights into forest owners' management behaviour and aid in planning better services to meet their needs. This paper aims to describe the new NIPF owners' perceptions of forest ownership by qualitative analyses drawn from 23 in-depth interviews covering different contextual settings in Europe. The theory of psychological ownership is used as a theoretical background. The aim is to examine, how psychological ownership is expressed and the ownership feelings are manifested in different forest owning contexts. The results illustrate what kind of ownership values new forest owners set for their forests and discuss how these affect their forest management behavior. At the same time the paper illustrate the potential of the social science approach in forest ownership research.Peer reviewe

What influences European private forest owners’ affinity for subsidies?

We acknowledge the funding from the whole team from FACESMAP FPS COST Action FP1201. Also VJ was supported by the Czech National Agency for Agricultural Research (NAZV) under the contract QJ1530032.Peer reviewedPostprin

Two decades of forest-related legislation changes in European countries analysed from a property rights perspective

In the last two decades, attention on forests and ownership rights has increased in different domains of international policy, particularly in relation to achieving the global sustainable development goals. This paper looks at the changes in forest-specific legislation applicable to regular productive forests, across 28 European countries. We compare the legal framework applicable in the mid-1990s with that applicable in 2015, using the Property Rights Index in Forestry (PRIF) to measure changes across time and space. The paper shows that forest owners in most western European countries already had high decision-making power in the mid-1990s, following deregulation trends from the 1980s; and for the next two decades, distribution of rights remained largely stable. For these countries, the content and direction of changes indicate that the main pressure on forest-focused legislation comes from environmental discourses (e.g. biodiversity and climate change policies). In contrast, former socialist countries in the mid-1990s gave lower decision-making powers to forest owners than in any of the Western Europe countries; over the next 20 years these show remarkable changes in management, exclusion and withdrawal rights. As a result of these changes, there is no longer a clear line between western and former socialist countries with respect to the national governance systems used to address private forest ownership. Nevertheless, with the exception of Baltic countries which have moved towards the western forest governance system, most of the former socialist countries still maintain a state-centred approach in private forest management. Overall, most of the changes we identified in the last two decades across Europe were recorded in the categories of management rights and exclusion rights. These changes reflect the general trend in European forest policies to expand and reinforce the landowners' individual rights, while preserving minimal rights for other categories of forest users; and to promote the use of financial instruments when targeting policy goals related to the environmental discourse

Speed Controls the Amplitude and Timing of the Hippocampal Gamma Rhythm

Cortical and hippocampal gamma oscillations have been implicated in many behavioral tasks. The hippocampus is required for spatial navigation where animals run at varying speeds. Hence we tested the hypothesis that the gamma rhythm could encode the running speed of mice. We found that the amplitude of slow (20–45 Hz) and fast (45–120 Hz) gamma rhythms in the hippocampal local field potential (LFP) increased with running speed. The speed-dependence of gamma amplitude was restricted to a narrow range of theta phases where gamma amplitude was maximal, called the preferred theta phase of gamma. The preferred phase of slow gamma precessed to lower values with increasing running speed. While maximal fast and slow gamma occurred at coincident phases of theta at low speeds, they became progressively more theta-phase separated with increasing speed. These results demonstrate a novel influence of speed on the amplitude and timing of the hippocampal gamma rhythm which could contribute to learning of temporal sequences and navigation

Conjunctive input processing drives feature selectivity in hippocampal CA1 neurons

Feature-selective firing allows networks to produce representations of the external and internal environments. Despite its importance, the mechanisms generating neuronal feature selectivity are incompletely understood. In many cortical microcircuits the integration of two functionally distinct inputs occurs nonlinearly through generation of active dendritic signals that drive burst firing and robust plasticity. To examine the role of this processing in feature selectivity, we recorded CA1 pyramidal neuron membrane potential and local field potential in mice running on a linear treadmill. We found that dendritic plateau potentials were produced by an interaction between properly timed input from entorhinal cortex and hippocampal CA3. These conjunctive signals positively modulated the firing of previously established place fields and rapidly induced new place field formation to produce feature selectivity in CA1 that is a function of both entorhinal cortex and CA3 input. Such selectivity could allow mixed network level representations that support context-dependent spatial maps.Howard Hughes Medical InstituteRikagaku Kenkyūjo (Japan

Effective Stimuli for Constructing Reliable Neuron Models

The rich dynamical nature of neurons poses major conceptual and technical challenges for unraveling their nonlinear membrane properties. Traditionally, various current waveforms have been injected at the soma to probe neuron dynamics, but the rationale for selecting specific stimuli has never been rigorously justified. The present experimental and theoretical study proposes a novel framework, inspired by learning theory, for objectively selecting the stimuli that best unravel the neuron's dynamics. The efficacy of stimuli is assessed in terms of their ability to constrain the parameter space of biophysically detailed conductance-based models that faithfully replicate the neuron's dynamics as attested by their ability to generalize well to the neuron's response to novel experimental stimuli. We used this framework to evaluate a variety of stimuli in different types of cortical neurons, ages and animals. Despite their simplicity, a set of stimuli consisting of step and ramp current pulses outperforms synaptic-like noisy stimuli in revealing the dynamics of these neurons. The general framework that we propose paves a new way for defining, evaluating and standardizing effective electrical probing of neurons and will thus lay the foundation for a much deeper understanding of the electrical nature of these highly sophisticated and non-linear devices and of the neuronal networks that they compose