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| 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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| 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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| 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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| 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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| 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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| SAATCHI, S.; MASCARO, J.; XU, L.; KELLER, M.; YANG, Y.; DUFFY, P.; ESPÍRITO-SANTO, F.; BACCINI, A.; CHAMBERS, J.; SCHIMEL, D.. |
| In a recent paper (Mitchard et al. 2014, Global Ecology and Biogeography, 23, 935?946) a new map of forest biomass based on a geostatistical model of field data for the Amazon (and surrounding forests) was presented and contrasted with two earlier maps based on remotesensing data Saatchi et al. (2011; RS1) and Baccini et al. (2012; RS2). Mitchard et al. concluded that both the earlier remote-sensing based maps were incorrect because they did not conform to Mitchard et al. interpretation of the field-based results. In making their case, however, they misrepresented the fundamental nature of primary field and remote-sensing data and committed critical errors in their assumptions about the accuracy of research plots, the interpolation methodology and the... |
| Tipo: Artigo de periódico |
Palavras-chave: Tree height.; Spatial modelling; Allometry; Biomass; Lidar; Remote sensing; Tropical forests; Wood density.. |
| Ano: 2014 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1001136 |
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| 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 |
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