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apps Other research productkeyboard_double_arrow_right Other ORP type 2011 Belgium EnglishAuthors: Minet, Julien;Minet, Julien;handle: 2078.1/76830 , 2268/184141
Soil moisture is an important state variable acting in many environmental, hydrologic and climatic processes. There is thus a pressing scientific demand for revealing the soil moisture dynamics in the biosphere at various temporal and spatial scales. Despite the huge development of remote sensing of soil moisture techniques, there is still a lack of soil moisture measurement techniques available at high spatial resolution (~ m). This thesis aimed to validate and apply advanced proximal ground penetrating radar (GPR) for soil moisture sensing at the field scale. For field acquisition, the GPR system was mounted on a mobile platform that allowed for a fast acquisition rate at high resolution. The impact of shallow soil layering on the GPR backscattered signal was investigated in numerical and laboratory experiments and the best GPR data inversions strategies for dealing with shallow soil layering were determined. Then, coherent two-layered and continuous soil moisture profiles could be characterized in field conditions, owing to the large frequency bandwidth in which the GPR operates. The uncertainties in soil moisture sensing and mapping were comprehensively evaluated in field conditions, and the proposed GPR method appeared to be highly precise and accurate. In that respect, the GPR method showed a high repeatability for soil moisture sensing. This advanced GPR method permitted to characterize the spatiotemporal patterns of soil moisture in an agricultural field and to investigate their temporal stability. Locations showing temporal stability of field-average soil moisture could be revealed. Lastly, the effect of the spatial variability of antecedent soil moisture on the runoff response using a distributed hydrologic model was studied in various field and moisture conditions. Benefiting from an unprecedented spatial resolution, the proposed GPR method bridges the scale gap between large-scale remote sensing instruments and small-scale invasive sensors for an accurate soil moisture determination. (AGRO 3) -- UCL, 2011
Dépôt Institutionel ... arrow_drop_down Open Repository and Bibliography - University of LiègeOther ORP type . 2011Data sources: Open Repository and Bibliography - University of Liègeadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Dépôt Institutionel ... arrow_drop_down Open Repository and Bibliography - University of LiègeOther ORP type . 2011Data sources: Open Repository and Bibliography - University of Liègeadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Other ORP type 2015 Belgium English Funded by:NSERC, EC | NORS, EC | MUSICANSERC ,EC| NORS ,EC| MUSICABarthlott, S; Schneider, M; Hase, F; Wiegele, A; Christner, E; Gonzalez, Y; Blumenstock, T; Dohe, S; Garcia, O E; Sepulveda, E; Strong, K; Mendonca, J; Weaver, D; Palm, Mathias; Deutscher, N M; Warneke, T; Notholt, Justus; Lejeune, Bernard; Mahieu, Emmanuel; Jones, N; Griffith, D W T; Velazco, V A; Smale, D; Robinson, J; Kivi, R; Heikkinen, P; Raffalski, U;handle: 2268/173087
Within the NDACC (Network for the Detection of Atmospheric Composition Change), more than 20 FTIR (Fourier-transform infrared) spectrometers, spread worldwide, provide long-term data records of many atmospheric trace gases. We present a method that uses measured and modelled XCO2 for assessing the consistency of these NDACC data records. Our XCO2 retrieval setup is kept simple so that it can easily be adopted for any NDACC/FTIR-like measurement made since the late 1950s. By a comparison to coincident TCCON (Total Carbon Column Observing Network) measurements, we empirically demonstrate the useful quality of this suggested NDACC XCO2 product (empirically obtained scatter between TCCON and NDACC is about 4‰ for daily mean as well as monthly mean comparisons, and the bias is 25‰). Our XCO2 model is a simple regression model fitted to CarbonTracker results and the Mauna Loa CO2 in situ records. A comparison to TCCON data suggests an uncertainty of the model for monthly mean data of below 3‰. We apply the method to the NDACC/FTIR spectra that are used within the project MUSICA (multi-platform remote sensing of isotopologues for investigating the cycle of atmospheric water) and demonstrate that there is a good consistency for these globally representative set of spectra measured since 1996: the scatter between the modelled and measured XCO2 on a yearly time scale is only 3‰.
Atmospheric Measurem... arrow_drop_down Open Repository and Bibliography - University of LiègeOther ORP type . 2015Data sources: Open Repository and Bibliography - University of Liègeadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Atmospheric Measurem... arrow_drop_down Open Repository and Bibliography - University of LiègeOther ORP type . 2015Data sources: Open Repository and Bibliography - University of Liègeadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Other ORP type 2012 Belgium EnglishCointault, F.; Journaux, L.; Rabatel, G.; Germain, C.; Ooms, D.; Destain, M.F.; Gorretta, N.; Grenier, G.; Lavialle, O.; Marin, A.;handle: 2268/121076
The concept of precision agriculture consists to spatially manage crop management practices according to in-field variability. This concept is principally dedicated to variable-rate application of inputs such as nitrogen, seeds and phytosanitary products, allowing for a better yield management and reduction on the use of pesticides, herbicides … In this general context, the development of ICT techniques has allowed relevant progresses for Leaf Area Index (LAI) (Richardson et al., 2009), crop density (Saeys et al., 2009), stress (Zygielbaum et al., 2009) … Most of the tools used for Precision Farming utilizes optical and/or imaging sensors and dedicated treatments, in real time or not, and eventually combined to 3D plant growth modeling or disease development (Fournier et al., 2003 ; Robert et al., 2008). To evaluate yields or to better define the appropriated periods for the spraying or fertilizer input, to detect crop, weeds, diseases …, the remote sensing imaging devices are often used to complete or replace embedded sensors onboard the agricultural machinery (Aparicio et al., 2000). Even if these tools provide sufficient accurate information, they get some drawbacks compared to “proxy-detection” optical sensors: resolution, easy-to-use tools, accessibility, cost, temporality, precision of the measurement … The use of specific image acquisition systems coupled to reliable image processing should allow for a reduction of working time, a lower work hardness and a reduction of the bias of the measurement according to the operator, or a better spatial sampling due to the rapidity of the image acquisition (instead of the use of remote sensing). The early evaluation of yield could allow farmers, for example, to adjust cultivation practices (e.g., last nitrogen (N) input), to organize harvest and storage logistics. The optimization of late N application could lead to significant improvements for the environment, one of the most important concerns that precision agriculture aims to address. We propose in this chapter to explore the proxy-detection domain by focusing first on the development of robust image acquisition systems, and secondly on the use of image processing for different applications tied on one hand to wheat crop characterization, such as the detection and counting of wheat ears per m² (in a context of yield prediction) and the weed detection, and on the other hand to the evolution of seed development/germination performance of chicory achenes. Results of the different processing are presented in the last part just before a conclusion.
CemOA arrow_drop_down Open Repository and Bibliography - University of LiègeOther ORP type . 2012Data sources: Open Repository and Bibliography - University of Liègeadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert CemOA arrow_drop_down Open Repository and Bibliography - University of LiègeOther ORP type . 2012Data sources: Open Repository and Bibliography - University of Liègeadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Other ORP type 2021 Belgium, Lithuania EnglishPublisher:Elsevier B.V. Gschwantner, T.; Alberdi, I.; Bauwens, Sébastien; Bender, S.; Borota, D.; Bosela, M.; Bouriaud, O.; Breidenbach, J.; Donis, J.; Fischer, C.; Gasparini, P.; Heffernan, L.; Hervé, J.-C.; Kolozs, L.; Korhonen, K. T.; Koutsias, N.; Kovacsevics, P.; Kucera, M.; Kulbokas, G.; Kuliesis, A.; Lanz, A.; Lejeune, Philippe; Lind, T.; Marin, G.; Morneau, F.; Nord-Larsen, T.; Nunes, L.; Panti, D.; Redmond, J.; Rego, F. C.; Riedel, T.; Seben, V.; Sims, A.; Skudnik, M.; Tomter, S. M.;handle: 2268/266153 , 20.500.12259/156293
Wood resources have been essential for human welfare throughout history. Also nowadays, the volume of growing stock (GS) is considered one of the most important forest attributes monitored by National Forest Inventories (NFIs) to inform policy decisions and forest management planning. The origins of forest inventories closely relate to times of early wood shortage in Europe causing the need to explore and plan the utilisation of GS in the catchment areas of mines, saltworks and settlements. Over time, forest surveys became more detailed and their scope turned to larger areas, although they were still conceived as stand-wise inventories. In the 1920s, the first sample-based NFIs were introduced in the northern European countries. Since the earliest beginnings, GS monitoring approaches have considerably evolved. Current NFI methods differ due to country-specific conditions, inventory traditions, and information needs. Consequently, GS estimates were lacking international comparability and were therefore subject to recent harmonisation efforts to meet the increasing demand for consistent forest resource information at European level. As primary large-area monitoring programmes in most European countries, NFIs assess a multitude of variables, describing various aspects of sustainable forest management, including for example wood supply, carbon sequestration, and biodiversity. Many of these contemporary subject matters involve considerations about GS and its changes, at different geographic levels and time frames from past to future developments according to scenario simulations. Due to its historical, continued and currently increasing importance, we provide an up-to-date review focussing on large-area GS monitoring where we i) describe the origins and historical development of European NFIs, ii) address the terminology and present GS definitions of NFIs, iii) summarise the current methods of 23 European NFIs including sampling methods, tree measurements, volume models, estimators, uncertainty components, and the use of air- and space-borne data sources, iv) present the recent progress in NFI harmonisation in Europe, and v) provide an outlook under changing climate and forest-based bioeconomy objectives.
Norwegian Open Resea... arrow_drop_down Norwegian Open Research ArchivesOther ORP type . 2021Data sources: Norwegian Open Research ArchivesVytautas Magnus University Institutional RepositoryOther ORP type . 2022Data sources: Vytautas Magnus University Institutional RepositoryOpen Repository and Bibliography - University of LiègeOther ORP type . 2022Data sources: Open Repository and Bibliography - University of Liègeadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Norwegian Open Resea... arrow_drop_down Norwegian Open Research ArchivesOther ORP type . 2021Data sources: Norwegian Open Research ArchivesVytautas Magnus University Institutional RepositoryOther ORP type . 2022Data sources: Vytautas Magnus University Institutional RepositoryOpen Repository and Bibliography - University of LiègeOther ORP type . 2022Data sources: Open Repository and Bibliography - University of Liègeadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Lecture , Other ORP type 2014 Belgium, France EnglishAuthors: Klaedtke, Stéphanie;Klaedtke, Stéphanie;handle: 2268/168465
This lecture considers the complexity of challenges of the agricultural transition from the perspective of farmers, who act at the intersection between the ecology, economy and policy. The lecture will start by providing an overview on the resource requirements for our global production chains of life stock and meat, grain and legume farming and say some words on the human diet, and food and feed conversion efficiency of energy-intake through food. This lecture also places a fresh emphasis on the development of local knowledge and locally specific arming and nutrition practices that are adapted to local environments, as a necessary complement to agricultural science striving to make universal claims. This leads on to basic insights on needs for knowledge production in agriculture, and merits and limitations of action research and engaged research, raising questions on how farmers, scientists and citizens might better collaborate to inform choices in food production and consumption. For the future there are some indications on a new trend on new more decentralised governance of the food system including citizen’s involvement in French organic certification and Community based Auditing and citizens science in communities in Australia to work with farmers on reducing environmental impacts and address ensuing trade-offs for farmers as a community.
ProdInra arrow_drop_down Open Repository and Bibliography - University of LiègeOther ORP type . 2014Data sources: Open Repository and Bibliography - University of Liègeadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert ProdInra arrow_drop_down Open Repository and Bibliography - University of LiègeOther ORP type . 2014Data sources: Open Repository and Bibliography - University of Liègeadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Other ORP type 2020 Belgium, Germany EnglishAuthors: Brecko, Jonathan; Mathys, Aurore;Brecko, Jonathan; Mathys, Aurore;handle: 2268/247839
Digitising a collection is key to make it last even after the physical objects are no longer available. Almost all of the techniques currently available to digitise a natural history collection in 2D+ and 3D are listed herein. The techniques are explained in a way that even one without any knowledge on the subject may understand their principle. The strong and weak points of the techniques are discussed, and an overview of suitable collections and specimens are given for each one of them. Also, plenty of examples already digitised with each technique are provided together with the links to visualise them in 3D. After explaining all the different digitisation options, the subsequent chapters provide information on how to improve the 2D+ and 3D digital twins of the specimens and techniques are compared to each other by means of test specimens. These give a fast overview of the capabilities of the digitisation techniques. Possible solutions to avoid digitisation errors are equally provided. Lastly, the dissemination of the results and the data management of the 3D models are briefly discussed in the final chapters. Also, a large chapter is provided with several workflows that can be followed to get the best possible results.
Hochschulschriftense... arrow_drop_down Open Repository and Bibliography - University of LiègeOther ORP type . 2020Data sources: Open Repository and Bibliography - University of Liègeadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Hochschulschriftense... arrow_drop_down Open Repository and Bibliography - University of LiègeOther ORP type . 2020Data sources: Open Repository and Bibliography - University of Liègeadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Other ORP type 2012 Belgium EnglishSebek, P.; Barnouin, T.; Brin, A.; Brustel, H.; Dufrêne, Marc; Gosselin, F.; Meriguet, B.; Micas, L.; Noblecourt, T.; Rose, O.; Velle, L.; Bouget, C.;handle: 2268/145406
In European forests, large scale biodiversity monitoring networks need to be implemented - networks which include components such as taxonomical groups that are at risk and that depend directly on forest stand structure. In this context, monitoring the species-rich group of saproxylic beetles is challenging. In the absence of sufficient resources to comprehensively survey a particular group, surrogates of species richness can be meaningful tools in biodiversity evaluations. In search of restricted subsets of species to use as surrogates of saproxylic beetle richness, we led a case study in Western Europe. Beetle data were compiled from 67 biodiversity surveys and ecological studies carried out from 1999 to 2010 with standardised trapping methods in France and Belgium. This large-scale dataset contains 642 forest plots, 1521 traps and 856 species. Twenty-two simplified species subsets were identified as potential surrogates, as well as the number of genera, a higher taxonomic level, taking into account, for each surrogate, the effort required for species identification, the practical monitoring experience necessary, the species conservation potential or the frequency of species occurrence. The performance of each surrogate was analyzed based on the following parameters: overall surrogacy (correlation between subset richness and total species richness), surrogacy vs. identification cost balance, surrogacy variation over a wide range of ecological conditions (forest type, altitude, latitude and bio-geographical area) and consistency with spatial scale. Ecological representativeness and ability to monitor rare species were supplementary criteria used to assess surrogate performance. The subsets consisting of the identifiable (or only easy-to-identify species) could easily be applied in practice and appear to be the best performing subsets, from a global point of view. The number of genera showed good prediction at the trap level and its surrogacy did not vary across wide environmental gradients. However, the subset of easy-to-identify species and the genus number were highly sensitive to spatial scale, which limits their use in large-scale studies. The number of rare species or the species richness of single beetle families (even the best single-family subset, the Cerambycidae) was very weak surrogates for total species richness. Conversely, the German list of monitoring species had high surrogacy, low identification costs and was not strongly influenced by the main geographical parameters, even with our French and Belgian data. In European-wide monitoring networks, such internationally validated subsets could be very useful with regard to the timing and cost-efficiency of field inventories. © 2012 Elsevier Ltd.
CemOA arrow_drop_down Open Repository and Bibliography - University of LiègeOther ORP type . 2012Data sources: Open Repository and Bibliography - University of Liègeadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert CemOA arrow_drop_down Open Repository and Bibliography - University of LiègeOther ORP type . 2012Data sources: Open Repository and Bibliography - University of Liègeadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Other ORP type 2019 Belgium EnglishAuthors: Michez, Adrien; Lejeune, Philippe; Bauwens, Sébastien; Herinaina, Andriamandroso Andriamasinoro Lalaina; +4 AuthorsMichez, Adrien; Lejeune, Philippe; Bauwens, Sébastien; Herinaina, Andriamandroso Andriamasinoro Lalaina; Blaise, Yannick; Castro Muñoz, Eloy; Lebeau, Frédéric; Bindelle, Jérôme;handle: 2268/234393
The tools available to farmers to manage grazed pastures and adjust forage demand to grass growth are generally rather static. Unmanned aerial systems (UASs) are interesting versatile tools that can provide relevant 3D information, such as sward height (3D structure), or even describe the physical condition of pastures through the use of spectral information. This study aimed to evaluate the potential of UAS to characterize a pasture’s sward height and above-ground biomass at a very fine spatial scale. The pasture height provided by UAS products showed good agreement (R2 = 0.62) with a reference terrestrial light detection and ranging (LiDAR) dataset. We tested the ability of UAS imagery to model pasture biomass based on three different combinations: UAS sward height, UAS sward multispectral reflectance/vegetation indices, and a combination of both UAS data types. The mixed approach combining the UAS sward height and spectral data performed the best (adj. R2 = 0.49). This approach reached a quality comparable to that of more conventional non-destructive on-field pasture biomass monitoring tools. As all of the UAS variables used in the model fitting process were extracted from spatial information (raster data), a high spatial resolution map of pasture biomass was derived based on the best fitted model. A sward height differences map was also derived from UAS-based sward height maps before and after grazing. Our results demonstrate the potential of UAS imagery as a tool for precision grazing study applications. The UAS approach to height and biomass monitoring was revealed to be a potential alternative to the widely used but time-consuming field approaches. While reaching a similar level of accuracy to the conventional field sampling approach, the UAS approach provides wall-to-wall pasture characterization through very high spatial resolution maps, opening up a new area of research for precision grazing.
CemOA arrow_drop_down Open Repository and Bibliography - University of LiègeOther ORP type . 2019Data sources: Open Repository and Bibliography - University of Liègeadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert CemOA arrow_drop_down Open Repository and Bibliography - University of LiègeOther ORP type . 2019Data sources: Open Repository and Bibliography - University of Liègeadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Other ORP type 2020 Belgium EnglishPublisher:Elsevier B.V. Nichiforel, L.; Deuffic, P.; Thorsen, B. J.; Weiss, G.; Hujala, T.; Keary, K.; Lawrence, A.; Avdibegović, M.; Dobšinská, Z.; Feliciano, D.; Górriz-Mifsud, E.; Hoogstra-Klein, M.; Hrib, M.; Jarský, V.; Jodłowski, K.; Lukmine, D.; Pezdevšek Malovrh, University Ljubljana; Nedeljković, J.; Nonić, D.; Krajter Ostoić, S.; Pukall, K.; Rondeux, Jacques; Samara, T.; Sarvašová, Z.; Scriban, R. E.; Šilingienė, R.; Sinko, M.; Stojanovska, M.; Stojanovski, V.; Stoyanov, T.; Teder, M.; Vennesland, B.; Wilhelmsson, E.; Wilkes-Allemann, J.; Živojinović, I.; Bouriaud, L.;handle: 2268/250897
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. © 2020 The Authors
Norwegian Open Resea... arrow_drop_down Norwegian Open Research ArchivesOther ORP type . 2020Data sources: Norwegian Open Research ArchivesOpen Repository and Bibliography - University of LiègeOther ORP type . 2020Data sources: Open Repository and Bibliography - University of Liègeadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Norwegian Open Resea... arrow_drop_down Norwegian Open Research ArchivesOther ORP type . 2020Data sources: Norwegian Open Research ArchivesOpen Repository and Bibliography - University of LiègeOther ORP type . 2020Data sources: Open Repository and Bibliography - University of Liègeadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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apps Other research productkeyboard_double_arrow_right Other ORP type 2011 Belgium EnglishAuthors: Minet, Julien;Minet, Julien;handle: 2078.1/76830 , 2268/184141
Soil moisture is an important state variable acting in many environmental, hydrologic and climatic processes. There is thus a pressing scientific demand for revealing the soil moisture dynamics in the biosphere at various temporal and spatial scales. Despite the huge development of remote sensing of soil moisture techniques, there is still a lack of soil moisture measurement techniques available at high spatial resolution (~ m). This thesis aimed to validate and apply advanced proximal ground penetrating radar (GPR) for soil moisture sensing at the field scale. For field acquisition, the GPR system was mounted on a mobile platform that allowed for a fast acquisition rate at high resolution. The impact of shallow soil layering on the GPR backscattered signal was investigated in numerical and laboratory experiments and the best GPR data inversions strategies for dealing with shallow soil layering were determined. Then, coherent two-layered and continuous soil moisture profiles could be characterized in field conditions, owing to the large frequency bandwidth in which the GPR operates. The uncertainties in soil moisture sensing and mapping were comprehensively evaluated in field conditions, and the proposed GPR method appeared to be highly precise and accurate. In that respect, the GPR method showed a high repeatability for soil moisture sensing. This advanced GPR method permitted to characterize the spatiotemporal patterns of soil moisture in an agricultural field and to investigate their temporal stability. Locations showing temporal stability of field-average soil moisture could be revealed. Lastly, the effect of the spatial variability of antecedent soil moisture on the runoff response using a distributed hydrologic model was studied in various field and moisture conditions. Benefiting from an unprecedented spatial resolution, the proposed GPR method bridges the scale gap between large-scale remote sensing instruments and small-scale invasive sensors for an accurate soil moisture determination. (AGRO 3) -- UCL, 2011
Dépôt Institutionel ... arrow_drop_down Open Repository and Bibliography - University of LiègeOther ORP type . 2011Data sources: Open Repository and Bibliography - University of Liègeadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Dépôt Institutionel ... arrow_drop_down Open Repository and Bibliography - University of LiègeOther ORP type . 2011Data sources: Open Repository and Bibliography - University of Liègeadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Other ORP type 2015 Belgium English Funded by:NSERC, EC | NORS, EC | MUSICANSERC ,EC| NORS ,EC| MUSICABarthlott, S; Schneider, M; Hase, F; Wiegele, A; Christner, E; Gonzalez, Y; Blumenstock, T; Dohe, S; Garcia, O E; Sepulveda, E; Strong, K; Mendonca, J; Weaver, D; Palm, Mathias; Deutscher, N M; Warneke, T; Notholt, Justus; Lejeune, Bernard; Mahieu, Emmanuel; Jones, N; Griffith, D W T; Velazco, V A; Smale, D; Robinson, J; Kivi, R; Heikkinen, P; Raffalski, U;handle: 2268/173087
Within the NDACC (Network for the Detection of Atmospheric Composition Change), more than 20 FTIR (Fourier-transform infrared) spectrometers, spread worldwide, provide long-term data records of many atmospheric trace gases. We present a method that uses measured and modelled XCO2 for assessing the consistency of these NDACC data records. Our XCO2 retrieval setup is kept simple so that it can easily be adopted for any NDACC/FTIR-like measurement made since the late 1950s. By a comparison to coincident TCCON (Total Carbon Column Observing Network) measurements, we empirically demonstrate the useful quality of this suggested NDACC XCO2 product (empirically obtained scatter between TCCON and NDACC is about 4‰ for daily mean as well as monthly mean comparisons, and the bias is 25‰). Our XCO2 model is a simple regression model fitted to CarbonTracker results and the Mauna Loa CO2 in situ records. A comparison to TCCON data suggests an uncertainty of the model for monthly mean data of below 3‰. We apply the method to the NDACC/FTIR spectra that are used within the project MUSICA (multi-platform remote sensing of isotopologues for investigating the cycle of atmospheric water) and demonstrate that there is a good consistency for these globally representative set of spectra measured since 1996: the scatter between the modelled and measured XCO2 on a yearly time scale is only 3‰.
Atmospheric Measurem... arrow_drop_down Open Repository and Bibliography - University of LiègeOther ORP type . 2015Data sources: Open Repository and Bibliography - University of Liègeadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Atmospheric Measurem... arrow_drop_down Open Repository and Bibliography - University of LiègeOther ORP type . 2015Data sources: Open Repository and Bibliography - University of Liègeadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Other ORP type 2012 Belgium EnglishCointault, F.; Journaux, L.; Rabatel, G.; Germain, C.; Ooms, D.; Destain, M.F.; Gorretta, N.; Grenier, G.; Lavialle, O.; Marin, A.;handle: 2268/121076
The concept of precision agriculture consists to spatially manage crop management practices according to in-field variability. This concept is principally dedicated to variable-rate application of inputs such as nitrogen, seeds and phytosanitary products, allowing for a better yield management and reduction on the use of pesticides, herbicides … In this general context, the development of ICT techniques has allowed relevant progresses for Leaf Area Index (LAI) (Richardson et al., 2009), crop density (Saeys et al., 2009), stress (Zygielbaum et al., 2009) … Most of the tools used for Precision Farming utilizes optical and/or imaging sensors and dedicated treatments, in real time or not, and eventually combined to 3D plant growth modeling or disease development (Fournier et al., 2003 ; Robert et al., 2008). To evaluate yields or to better define the appropriated periods for the spraying or fertilizer input, to detect crop, weeds, diseases …, the remote sensing imaging devices are often used to complete or replace embedded sensors onboard the agricultural machinery (Aparicio et al., 2000). Even if these tools provide sufficient accurate information, they get some drawbacks compared to “proxy-detection” optical sensors: resolution, easy-to-use tools, accessibility, cost, temporality, precision of the measurement … The use of specific image acquisition systems coupled to reliable image processing should allow for a reduction of working time, a lower work hardness and a reduction of the bias of the measurement according to the operator, or a better spatial sampling due to the rapidity of the image acquisition (instead of the use of remote sensing). The early evaluation of yield could allow farmers, for example, to adjust cultivation practices (e.g., last nitrogen (N) input), to organize harvest and storage logistics. The optimization of late N application could lead to significant improvements for the environment, one of the most important concerns that precision agriculture aims to address. We propose in this chapter to explore the proxy-detection domain by focusing first on the development of robust image acquisition systems, and secondly on the use of image processing for different applications tied on one hand to wheat crop characterization, such as the detection and counting of wheat ears per m² (in a context of yield prediction) and the weed detection, and on the other hand to the evolution of seed development/germination performance of chicory achenes. Results of the different processing are presented in the last part just before a conclusion.
CemOA arrow_drop_down Open Repository and Bibliography - University of LiègeOther ORP type . 2012Data sources: Open Repository and Bibliography - University of Liègeadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert CemOA arrow_drop_down Open Repository and Bibliography - University of LiègeOther ORP type . 2012Data sources: Open Repository and Bibliography - University of Liègeadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Other ORP type 2021 Belgium, Lithuania EnglishPublisher:Elsevier B.V. Gschwantner, T.; Alberdi, I.; Bauwens, Sébastien; Bender, S.; Borota, D.; Bosela, M.; Bouriaud, O.; Breidenbach, J.; Donis, J.; Fischer, C.; Gasparini, P.; Heffernan, L.; Hervé, J.-C.; Kolozs, L.; Korhonen, K. T.; Koutsias, N.; Kovacsevics, P.; Kucera, M.; Kulbokas, G.; Kuliesis, A.; Lanz, A.; Lejeune, Philippe; Lind, T.; Marin, G.; Morneau, F.; Nord-Larsen, T.; Nunes, L.; Panti, D.; Redmond, J.; Rego, F. C.; Riedel, T.; Seben, V.; Sims, A.; Skudnik, M.; Tomter, S. M.;handle: 2268/266153 , 20.500.12259/156293
Wood resources have been essential for human welfare throughout history. Also nowadays, the volume of growing stock (GS) is considered one of the most important forest attributes monitored by National Forest Inventories (NFIs) to inform policy decisions and forest management planning. The origins of forest inventories closely relate to times of early wood shortage in Europe causing the need to explore and plan the utilisation of GS in the catchment areas of mines, saltworks and settlements. Over time, forest surveys became more detailed and their scope turned to larger areas, although they were still conceived as stand-wise inventories. In the 1920s, the first sample-based NFIs were introduced in the northern European countries. Since the earliest beginnings, GS monitoring approaches have considerably evolved. Current NFI methods differ due to country-specific conditions, inventory traditions, and information needs. Consequently, GS estimates were lacking international comparability and were therefore subject to recent harmonisation efforts to meet the increasing demand for consistent forest resource information at European level. As primary large-area monitoring programmes in most European countries, NFIs assess a multitude of variables, describing various aspects of sustainable forest management, including for example wood supply, carbon sequestration, and biodiversity. Many of these contemporary subject matters involve considerations about GS and its changes, at different geographic levels and time frames from past to future developments according to scenario simulations. Due to its historical, continued and currently increasing importance, we provide an up-to-date review focussing on large-area GS monitoring where we i) describe the origins and historical development of European NFIs, ii) address the terminology and present GS definitions of NFIs, iii) summarise the current methods of 23 European NFIs including sampling methods, tree measurements, volume models, estimators, uncertainty components, and the use of air- and space-borne data sources, iv) present the recent progress in NFI harmonisation in Europe, and v) provide an outlook under changing climate and forest-based bioeconomy objectives.
Norwegian Open Resea... arrow_drop_down Norwegian Open Research ArchivesOther ORP type . 2021Data sources: Norwegian Open Research ArchivesVytautas Magnus University Institutional RepositoryOther ORP type . 2022Data sources: Vytautas Magnus University Institutional RepositoryOpen Repository and Bibliography - University of LiègeOther ORP type . 2022Data sources: Open Repository and Bibliography - University of Liègeadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Norwegian Open Resea... arrow_drop_down Norwegian Open Research ArchivesOther ORP type . 2021Data sources: Norwegian Open Research ArchivesVytautas Magnus University Institutional RepositoryOther ORP type . 2022Data sources: Vytautas Magnus University Institutional RepositoryOpen Repository and Bibliography - University of LiègeOther ORP type . 2022Data sources: Open Repository and Bibliography - University of Liègeadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Lecture , Other ORP type 2014 Belgium, France EnglishAuthors: Klaedtke, Stéphanie;Klaedtke, Stéphanie;handle: 2268/168465
This lecture considers the complexity of challenges of the agricultural transition from the perspective of farmers, who act at the intersection between the ecology, economy and policy. The lecture will start by providing an overview on the resource requirements for our global production chains of life stock and meat, grain and legume farming and say some words on the human diet, and food and feed conversion efficiency of energy-intake through food. This lecture also places a fresh emphasis on the development of local knowledge and locally specific arming and nutrition practices that are adapted to local environments, as a necessary complement to agricultural science striving to make universal claims. This leads on to basic insights on needs for knowledge production in agriculture, and merits and limitations of action research and engaged research, raising questions on how farmers, scientists and citizens might better collaborate to inform choices in food production and consumption. For the future there are some indications on a new trend on new more decentralised governance of the food system including citizen’s involvement in French organic certification and Community based Auditing and citizens science in communities in Australia to work with farmers on reducing environmental impacts and address ensuing trade-offs for farmers as a community.
ProdInra arrow_drop_down Open Repository and Bibliography - University of LiègeOther ORP type . 2014Data sources: Open Repository and Bibliography - University of Liègeadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert ProdInra arrow_drop_down Open Repository and Bibliography - University of LiègeOther ORP type . 2014Data sources: Open Repository and Bibliography - University of Liègeadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Other ORP type 2020 Belgium, Germany EnglishAuthors: Brecko, Jonathan; Mathys, Aurore;Brecko, Jonathan; Mathys, Aurore;handle: 2268/247839
Digitising a collection is key to make it last even after the physical objects are no longer available. Almost all of the techniques currently available to digitise a natural history collection in 2D+ and 3D are listed herein. The techniques are explained in a way that even one without any knowledge on the subject may understand their principle. The strong and weak points of the techniques are discussed, and an overview of suitable collections and specimens are given for each one of them. Also, plenty of examples already digitised with each technique are provided together with the links to visualise them in 3D. After explaining all the different digitisation options, the subsequent chapters provide information on how to improve the 2D+ and 3D digital twins of the specimens and techniques are compared to each other by means of test specimens. These give a fast overview of the capabilities of the digitisation techniques. Possible solutions to avoid digitisation errors are equally provided. Lastly, the dissemination of the results and the data management of the 3D models are briefly discussed in the final chapters. Also, a large chapter is provided with several workflows that can be followed to get the best possible results.
Hochschulschriftense... arrow_drop_down Open Repository and Bibliography - University of LiègeOther ORP type . 2020Data sources: Open Repository and Bibliography - University of Liègeadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Hochschulschriftense... arrow_drop_down Open Repository and Bibliography - University of LiègeOther ORP type . 2020Data sources: Open Repository and Bibliography - University of Liègeadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Other ORP type 2012 Belgium EnglishSebek, P.; Barnouin, T.; Brin, A.; Brustel, H.; Dufrêne, Marc; Gosselin, F.; Meriguet, B.; Micas, L.; Noblecourt, T.; Rose, O.; Velle, L.; Bouget, C.;handle: 2268/145406
In European forests, large scale biodiversity monitoring networks need to be implemented - networks which include components such as taxonomical groups that are at risk and that depend directly on forest stand structure. In this context, monitoring the species-rich group of saproxylic beetles is challenging. In the absence of sufficient resources to comprehensively survey a particular group, surrogates of species richness can be meaningful tools in biodiversity evaluations. In search of restricted subsets of species to use as surrogates of saproxylic beetle richness, we led a case study in Western Europe. Beetle data were compiled from 67 biodiversity surveys and ecological studies carried out from 1999 to 2010 with standardised trapping methods in France and Belgium. This large-scale dataset contains 642 forest plots, 1521 traps and 856 species. Twenty-two simplified species subsets were identified as potential surrogates, as well as the number of genera, a higher taxonomic level, taking into account, for each surrogate, the effort required for species identification, the practical monitoring experience necessary, the species conservation potential or the frequency of species occurrence. The performance of each surrogate was analyzed based on the following parameters: overall surrogacy (correlation between subset richness and total species richness), surrogacy vs. identification cost balance, surrogacy variation over a wide range of ecological conditions (forest type, altitude, latitude and bio-geographical area) and consistency with spatial scale. Ecological representativeness and ability to monitor rare species were supplementary criteria used to assess surrogate performance. The subsets consisting of the identifiable (or only easy-to-identify species) could easily be applied in practice and appear to be the best performing subsets, from a global point of view. The number of genera showed good prediction at the trap level and its surrogacy did not vary across wide environmental gradients. However, the subset of easy-to-identify species and the genus number were highly sensitive to spatial scale, which limits their use in large-scale studies. The number of rare species or the species richness of single beetle families (even the best single-family subset, the Cerambycidae) was very weak surrogates for total species richness. Conversely, the German list of monitoring species had high surrogacy, low identification costs and was not strongly influenced by the main geographical parameters, even with our French and Belgian data. In European-wide monitoring networks, such internationally validated subsets could be very useful with regard to the timing and cost-efficiency of field inventories. © 2012 Elsevier Ltd.
CemOA arrow_drop_down Open Repository and Bibliography - University of LiègeOther ORP type . 2012Data sources: Open Repository and Bibliography - University of Liègeadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert CemOA arrow_drop_down Open Repository and Bibliography - University of LiègeOther ORP type . 2012Data sources: Open Repository and Bibliography - University of Liègeadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Other ORP type 2019 Belgium EnglishAuthors: Michez, Adrien; Lejeune, Philippe; Bauwens, Sébastien; Herinaina, Andriamandroso Andriamasinoro Lalaina; +4 AuthorsMichez, Adrien; Lejeune, Philippe; Bauwens, Sébastien; Herinaina, Andriamandroso Andriamasinoro Lalaina; Blaise, Yannick; Castro Muñoz, Eloy; Lebeau, Frédéric; Bindelle, Jérôme;handle: 2268/234393
The tools available to farmers to manage grazed pastures and adjust forage demand to grass growth are generally rather static. Unmanned aerial systems (UASs) are interesting versatile tools that can provide relevant 3D information, such as sward height (3D structure), or even describe the physical condition of pastures through the use of spectral information. This study aimed to evaluate the potential of UAS to characterize a pasture’s sward height and above-ground biomass at a very fine spatial scale. The pasture height provided by UAS products showed good agreement (R2 = 0.62) with a reference terrestrial light detection and ranging (LiDAR) dataset. We tested the ability of UAS imagery to model pasture biomass based on three different combinations: UAS sward height, UAS sward multispectral reflectance/vegetation indices, and a combination of both UAS data types. The mixed approach combining the UAS sward height and spectral data performed the best (adj. R2 = 0.49). This approach reached a quality comparable to that of more conventional non-destructive on-field pasture biomass monitoring tools. As all of the UAS variables used in the model fitting process were extracted from spatial information (raster data), a high spatial resolution map of pasture biomass was derived based on the best fitted model. A sward height differences map was also derived from UAS-based sward height maps before and after grazing. Our results demonstrate the potential of UAS imagery as a tool for precision grazing study applications. The UAS approach to height and biomass monitoring was revealed to be a potential alternative to the widely used but time-consuming field approaches. While reaching a similar level of accuracy to the conventional field sampling approach, the UAS approach provides wall-to-wall pasture characterization through very high spatial resolution maps, opening up a new area of research for precision grazing.
CemOA arrow_drop_down Open Repository and Bibliography - University of LiègeOther ORP type . 2019Data sources: Open Repository and Bibliography - University of Liègeadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=2268/234393&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert CemOA arrow_drop_down Open Repository and Bibliography - University of LiègeOther ORP type . 2019Data sources: Open Repository and Bibliography - University of Liègeadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=2268/234393&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euapps Other research productkeyboard_double_arrow_right Other ORP type 2020 Belgium EnglishPublisher:Elsevier B.V. Nichiforel, L.; Deuffic, P.; Thorsen, B. J.; Weiss, G.; Hujala, T.; Keary, K.; Lawrence, A.; Avdibegović, M.; Dobšinská, Z.; Feliciano, D.; Górriz-Mifsud, E.; Hoogstra-Klein, M.; Hrib, M.; Jarský, V.; Jodłowski, K.; Lukmine, D.; Pezdevšek Malovrh, University Ljubljana; Nedeljković, J.; Nonić, D.; Krajter Ostoić, S.; Pukall, K.; Rondeux, Jacques; Samara, T.; Sarvašová, Z.; Scriban, R. E.; Šilingienė, R.; Sinko, M.; Stojanovska, M.; Stojanovski, V.; Stoyanov, T.; Teder, M.; Vennesland, B.; Wilhelmsson, E.; Wilkes-Allemann, J.; Živojinović, I.; Bouriaud, L.;handle: 2268/250897
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. © 2020 The Authors
Norwegian Open Resea... arrow_drop_down Norwegian Open Research ArchivesOther ORP type . 2020Data sources: Norwegian Open Research ArchivesOpen Repository and Bibliography - University of LiègeOther ORP type . 2020Data sources: Open Repository and Bibliography - University of Liègeadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=2268/250897&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Norwegian Open Resea... arrow_drop_down Norwegian Open Research ArchivesOther ORP type . 2020Data sources: Norwegian Open Research ArchivesOpen Repository and Bibliography - University of LiègeOther ORP type . 2020Data sources: Open Repository and Bibliography - University of Liègeadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=2268/250897&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu