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A methodological framework to predict the individual and population‐level distributions from tracking data ArchiMer
Chambault, Philippine; Hattab, Tarek; Mouquet, Pascal; Bajjouk, Touria; Jean, Claire; Ballorain, Katia; Ciccione, Stéphane; Dalleau, Mayeul; Bourjea, Jerome.
Despite the large number of species distribution modelling (SDM) applications driven by tracking data, individual information is most of the time neglected and traditional SDM approaches commonly focus on predicting the potential distribution at the species or population‐level. By running classical SDMs (population approach) with mixed models including a random factor to account for the variability attributable to individual (individual approach), we propose an innovative five‐steps framework to predict the potential and individual‐level distributions of mobile species using GPS data collected from green turtles. Pseudo‐absences were randomly generated following an environmentally‐stratified procedure. A negative exponential dispersal kernel was...
Tipo: Text Palavras-chave: GPS tracking; Green turtles; Indian Ocean; Pseudo-absences; Shannon index; Spatial modelling.
Ano: 2021 URL: https://archimer.ifremer.fr/doc/00682/79412/81963.pdf
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A spatial bio-economic modelling approach on the trade-offs between global bioenergy demand, agricultural intensification, expansion, and trade AgEcon
Lotze-Campen, Hermann; Popp, Alexander; Beringer, Tim; Muller, Christoph; Lucht, Wolfgang.
Increased future demands for food, fibre and fuels from biomass can only be met if the available land and water resources on a global scale are used and managed as efficiently as possible. The main routes for making the global agricultural system more productive are through intensification and technological change on currently used agricultural land, land expansion into currently non-agricultural areas, and international trade in agricultural commodities and processed goods. In order to analyse the trade-offs and synergies between these options, we present a global bio-economic modelling approach with a special focus on spatially explicit land and water constraints as well as technological change in agricultural production. For a given bioenergy demand...
Tipo: Conference Paper or Presentation Palavras-chave: Land use change; Spatial modelling; Technological change; Environmental Economics and Policy; International Development; International Relations/Trade; Land Economics/Use; Research and Development/Tech Change/Emerging Technologies; C61; F15; Q24; Q25.
Ano: 2009 URL: http://purl.umn.edu/51458
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Connecting MPAs - eight challenges for science and management ArchiMer
Lagabrielle, Erwann; Crochelet, Estelle; Andrello, Marco; Schill, Steven R.; Arnaud-haond, Sophie; Alloncle, Neil; Ponge, Benjamin.
Connectivity is a crucial process underpinning the persistence, recovery, and productivity of marine ecosystems. The Convention on Biological Diversity, through the Aichi Target 11, has set the ambitious objective of implementing a ‘well connected system of protected areas’ by 2020. This paper identifies eight challenges toward the integration of connectivity into MPA network management and planning. A summary table lists the main recommendations in terms of method, tool, advice, or action to address each of these challenges. Authors belong to a science–management continuum including researchers, international NGO officers, and national MPA agency members. Three knowledge challenges are addressed: selecting and integrating connectivity measurement metrics;...
Tipo: Text Palavras-chave: Ocean; Coastal; Conservation evaluation; Marine protected areas; Spatial modelling; Fishing.
Ano: 2014 URL: http://archimer.ifremer.fr/doc/00226/33742/33891.pdf
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dsmextra: Extrapolation assessment tools for density surface models ArchiMer
Bouchet, Pj; Miller, Dl; Roberts, Jj; Mannocci, Laura; Harris, Cm; Thomas, L.
Forecasting the responses of biodiversity to global change has never been more important. However, many ecologists faced with limited sample sizes and shoestring budgets often resort to extrapolating predictive models beyond the range of their data to support management actions in data‐deficient contexts. This can lead to error‐prone inference that has the potential to misdirect conservation interventions and undermine decision‐making. Despite the perils associated with extrapolation, little guidance exists on the best way to identify it when it occurs, leaving users questioning how much credence they should place in model outputs. To address this, we present dsmextra, a new R package for measuring, summarising, and visualising extrapolation in...
Tipo: Text Palavras-chave: Cetaceans; Distance sampling; Ecological predictions; Extrapolation; Model transferability; R package; Spatial modelling; Wildlife surveys.
Ano: 2020 URL: https://archimer.ifremer.fr/doc/00643/75485/76332.pdf
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Geospatial Data and Fishery Management: Innovative Modelling Approaches ArchiMer
Depalle, Maxime.
This dissertation investigates how recent advances in the availability of geospatial data can be utilized to improve natural resources management. Taking Vessel Monitoring System (VMS) data and fisheries from the Gulf of Mexico and the North East Atlantic region as empirical settings, it develops novel approaches to better model commercial fishing behavior and to analyze policy interventions. In Chapter I, I focus on discrete choice models and spatial aggregation issues. Combining simulated geospatial data from Monte Carlo experiments with real VMS data from fishing vessels in the Gulf of Mexico, I show how models’ results depend on the choice of the spatial scale of analysis and on data spatial heterogeneity. I illustrate the implications for policy...
Tipo: Text Palavras-chave: Brexit; Discrete-choice model; Hidden-markov model; Spatial modelling; VMS data; Vessel Monitoring Syste; United Kingdom; European Union.
Ano: 2018 URL: https://archimer.ifremer.fr/doc/00692/80426/83561.pdf
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Modelado especial de los recursos forestales en el ejido de Atopixco, estado de Hidalgo Colegio de Postgraduados
Cruz Leyva, Isidro Ahmed.
En este trabajo se modeló el LAI5 (m/m), el LAIAL (m/m), y la COB utilizando variables cartográficas y espectrales. Se observó que la COB se relaciona con la Precipitación Media en Secas (PMANA) y su cuadrado (PMANA2), Precipitación Media Anual en Lluvias (PMAMO), Temperatura Máxima (TMAX) y su cuadrado (TMAX2), y la Banda 4 (B4) (P < 0.001, R2 = 0.66). El LAI5 se relaciona con la Precipitación Media en Secas (PMANA) y su cuadrado (PMANA2), Precipitación Media Anual en Lluvias (PMAMO), Temperatura Máxima (TMAX) y su cuadrado (TMAX2), y la Banda 4 (B4) (P < 0.001, R2 = 0.71). El LAIAL se relaciona con Precipitación Media en Lluvias (PMAMO) y su cuadrado (PMAMO2), Precipitación Media Anual en Secas (PMANA), Temperatura Máxima (TMAX) y su cuadrado...
Tipo: Tesis Palavras-chave: Modelado Espacial; Variables Cartográficas; Variables Espectrales; SIG; Variables Biofísicas; Inventario Forestal.; Maestría; Forestal; Spatial modelling; GIS variables; Spectral variables; GIS; Biophysical variables; Forest inventory..
Ano: 2008 URL: http://hdl.handle.net/10521/1220
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Modelling the effects of an abolition of the EU sugar quota on internal prices, production and imports AgEcon
Nolte, Stephan; Buysse, Jeroen; Van der Straeten, Bart; Claeys, Dakerlia; Lauwers, Ludwig H.; Van Huylenbroeck, Guido.
We apply a spatial price equilibrium model of the world sugar market to simulate an abolishment of the EU quota system in 2015/16. To overcome the normative nature of the approach, we calibrate the model by attaching a non-linear cost term to each trade flow. This is in some regards similar to positive mathematical programming. We suggest an economic interpretation and an econometric specification of the cost term. Production in the EU increases to almost 16 million tons. Twelve member states increase production, seven reduce it. Preferential imports are significantly reduced. Simulated effects are found to be more pronounced the higher the world market price.
Tipo: Conference Paper or Presentation Palavras-chave: CAP; Structural change; Sugar; TRQ; Spatial modelling; Trade preferences; PMP; Agricultural and Food Policy; Farm Management; Land Economics/Use.
Ano: 2010 URL: http://purl.umn.edu/61346
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SNAP Efficacy and Food Access – A Nationwide Spatial Analysis AgEcon
Bonanno, Alessandro; Ghosh, Gaurav S..
As the public expenditure for the Supplemental Nutrition Assistance Program (SNAP) - formerly the Food Stamp Program (FSP) - increases, improving the effectiveness of the policy becomes pivotal to limit further surges in public spending. Along with social stigma, transaction costs, associated in part to the accessibility and proximity to food outlets, are the main deterrent to program participation. This study presents an empirical assessment of the relationship between food access and FSP participation among eligible population. The analysis uses county-level data for the continental U.S., distinguished by different stores formats (grocery stores, convenience stores and a non-traditional, low-priced alternative, Wal-Mart Supercenters) accounting for the...
Tipo: Conference Paper or Presentation Palavras-chave: Food Stamps; Food Access; Spatial modelling; Agricultural and Food Policy; Consumer/Household Economics; Demand and Price Analysis; Food Consumption/Nutrition/Food Safety; Food Security and Poverty; Health Economics and Policy; Q18; L81; C21.
Ano: 2010 URL: http://purl.umn.edu/116437
Registros recuperados: 8
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