Jorge Sicacha-Parada

Recommendations for quantitative uncertainty consideration in ecology and evolution

Emily G. Simmonds, Kwaku Peprah Adjei, Benjamin Cretois, Lisa Dickel et autres

Ecological and evolutionary studies are currently failing to achieve complete and consistent reporting of model-related uncertainty. We identify three key barriers - a focus on parameter-related uncertainty, obscure uncertainty metrics, and limited recognition of uncertainty propagation - which have led to gaps …

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The Point Process Framework for Integrated Modelling of Biodiversity Data

Kwaku Peprah Adjei, Philip S. Mostert, Jorge Sicacha-Parada, Emma Sofie Skarstein et autres

The quantity and types of biodiversity data being collected have increased in recent years. If we are to model and monitor biodiversity effectively, we need to respect how different data sets were collected, and effectively integrate these data types together. The framework …

A structural model for the process of collecting biodiversity data

Kwaku Peprah Adjei, Jorge Sicacha-Parada, Ingelin Steinsland, Robert Brian O’Hara

INTRODUCTION Biodiversity data from surveys and other monitoring programs such as Citizen Science (called ‘CS’ hereafter) play a vital role in estimating species distributions and making conservation decisions . With an influx of data available to researchers through the various biodiversity databases …

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New spatial models for integrating standardized detection-nondetection and opportunistic presence-only data: application to estimating risk factors associated to powerline-induced death of birds

Jorge Sicacha-Parada, Diego Pavón‐Jordán, Ingelin Steinsland, Roel F. May et autres

The constant increase in energy consumption has created the necessity of extending the energy transmission and distribution network. Placement of powerlines represent a risk for bird population. Hence, better understanding of deaths induced by powerlines, and the factors behind them are of …

Insights into the quantification and reporting of model-related uncertainty across different disciplines

Emily G. Simmonds, Kwaku Peprah Adjei, Christoffer Wold Andersen, Janne Cathrin Hetle Aspheim et autres

Quantifying uncertainty associated with our models is the only way we can express how much we know about any phenomenon. Incomplete consideration of model-based uncertainties can lead to overstated conclusions with real-world impacts in diverse spheres, including conservation, epidemiology, climate science, and …

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Data from systematic audit for paper: Insights into the quantification and reporting of model-related uncertainty across different disciplines

Emily G. Simmonds, Kwaku Adjei Peprah, Christoffer Wold Andersen, Janne Cathrin Helte Aspheim et autres

This upload contains 7 data files (each contains cleaned and compiled data for a given scientific field) and 2 R scripts. These files support the paper: Insights into the quantification and reporting of model-related uncertainty across different disciplines. Description of the data …

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Data from systematic audit for paper: Insights into the quantification and reporting of model-related uncertainty across different disciplines

Emily G. Simmonds, Kwaku Adjei Peprah, Christoffer Wold Andersen, Janne Cathrin Helte Aspheim et autres

This upload contains 7 data files (each contains cleaned and compiled data for a given scientific field) and 2 R scripts. These files support the paper: Insights into the quantification and reporting of model-related uncertainty across different disciplines. Description of the data …

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How is model-related uncertainty quantified and reported in different disciplines?

Emily G. Simmonds, Kwaku Peprah Adjei, Christoffer Wold Andersen, Janne Cathrin Hetle Aspheim et autres

How do we know how much we know? Quantifying uncertainty associated with our modelling work is the only way we can answer how much we know about any phenomenon. With quantitative science now highly influential in the public sphere and the results …

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A Spatial Modeling Framework for Monitoring Surveys with Different Sampling Protocols with a Case Study for Bird Abundance in Mid-Scandinavia

Jorge Sicacha-Parada, Diego Pavón‐Jordán, Ingelin Steinsland, Roel F. May et autres

Abstract Quantifying the total number of individuals (abundance) of species is the basis for spatial ecology and biodiversity conservation. Abundance data are mostly collected through professional surveys as part of monitoring programs, often at a national level. These surveys rarely follow exactly …

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Native range estimates for red-listed vascular plants

Jan Borgelt, Jorge Sicacha-Parada, Olav Skarpaas, Francesca Verones

Besides being central for understanding both global biodiversity patterns and associated anthropogenic impacts, species range maps are currently only available for a small subset of global biodiversity. Here, we provide a set of assembled spatial data for terrestrial vascular plants listed at …

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Coexistence of large mammals and humans is possible in Europe's anthropogenic landscapes

Benjamin Cretois, John D. C. Linnell, Bram Van Moorter, Petra Kaczensky et autres

A critical question in the conservation of large mammals in the Anthropocene is to know the extent to which they can tolerate human disturbance. Surprisingly, little quantitative data is available about large-scale effects of human activity and land use on their broad …

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A spatial modeling framework for monitoring surveys with different sampling protocols with a case study for bird populations in mid-Scandinavia

Jorge Sicacha-Parada, Diego Pavón‐Jordán, Ingelin Steinsland, Roel F. May et autres

Quantifying species abundance is the basis for spatial ecology and biodiversity conservation. Abundance data are mostly collected through professional surveys as part of monitoring programs, often at a national level. These surveys rarely follow the same sampling protocol in different countries, which …

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