Oscar Rodriguez de Rivera

Oscar Rodriguez de Rivera
University of Kent | KENT · School of Mathematics, Statistics and Actuarial Science

PhD in Statistics

About

13
Publications
2,440
Reads
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49
Citations
Citations since 2016
12 Research Items
49 Citations
2016201720182019202020212022051015
2016201720182019202020212022051015
2016201720182019202020212022051015
2016201720182019202020212022051015
Introduction
I have special interest in ecological distribution and interactions between species and their environment. I have experience analyzing ecological data, mainly forest trees and entomological species, but also I have worked with several kind of fauna in field and laboratory. The aim of my career is to work in academia, analyzing and trying to understand ecological issues and challenges.
Additional affiliations
June 2019 - present
University of Kent
Position
  • Research Associate
February 2016 - April 2016
Imperial College London
Position
  • Tutor
Description
  • Support MSc students during practical for the Advanced Regression module in the MsC in Epidemiology at Imperial College of London
May 2015 - December 2016
Imperial College London
Position
  • Researcher
Description
  • I am developing several projects focused in my doctoral thesis: Using SPDE for species distribution in ecology; Spatial and Spatio-Temporal modelling of forest trees: Spatio-Temporal distribution of vegetation using environmental and pollution data
Education
October 2013 - January 2019
University of Valencia
Field of study
  • Statistics
October 2010 - July 2013
University of Valencia
Field of study
  • Biostatistics
October 2008 - April 2010
University of Oviedo
Field of study
  • Forestry

Publications

Publications (13)
Article
The potential for statistical complexity in species distribution models (SDMs) has greatly increased with advances in computational power. Structurally complex models provide the flexibility to analyse intricate ecological systems and realistically messy data, but can be difficult to interpret, reducing their practical impact. Founding model comple...
Article
Full-text available
Roads pose an imminent threat to wildlife directly through mortality and changes in individual behavior, and also indirectly through modification of the amount and configuration of wildlife habitat. However, few studies have addressed how these mechanisms interact to determine species response to roads. We used structural equation modeling to asses...
Article
Full-text available
The study of the short-term post-burn tree growth in a mixed stand of Pinus nigra and Pinus pinaster and in a pure stand of P. nigra in the Cuenca Mountains (Spain) will enable us to determine the disturbance of prescribed burning conducted in two seasons. Dendrochronological methods and mixed modelling were used to investigate whether tree growth...
Article
Full-text available
Removal models were proposed over 80 years ago as a tool to estimate unknown population size. More recently, they are used as an effective tool for management actions for the control of non desirable species, or for the evaluation of translocation management actions. Although the models have evolved over time, in essence, the protocol for data coll...
Article
Fire management can play a key role in ensuring stand maintenance in future scenarios of global change, particularly in Pinus nigra stands, which are known to be adapted to low-intensity surface fires through characteristics such as thick bark. In this study, laboratory tests were carried out to quantify cambium damage and fire resistance in P. nig...
Research Proposal
Full-text available
Dear Colleagues, Classical models based on system dynamics approach provide a useful way to represent and comprehend changing behaviours in time, but they do not adequately represent spatial processes. An ecosystem is a system that progresses with both time and space; thus the development of spatio-temporal ecological models is necessary. Spatio-te...
Preprint
Full-text available
Forest fires are the outcome of a complex interaction between environmental factors, topography and socioeconomic factors (Bedia et al, 2014). Therefore, understand causality and early prediction are crucial elements for controlling such phenomenon and saving lives.The aim of this study is to build spatio-temporal model to understand causality of f...
Preprint
Full-text available
Removal models were proposed over 80 years ago as a tool to estimate unknown population size. Although the models have evolved over time, in essence, the protocol for data collection has remained similar: at each sampling occasion attempts are made to capture and remove individuals from the study area. Within this paper we review the literature of...
Article
Full-text available
Research Highlights: Litterfall biomass after prescribed burning (PB) is significantly influenced by meteorological variables, stand characteristics, and the fire prescription. Some of the fire-adaptive traits of the species under study (Pinus nigra and Pinus pinaster) mitigate the effects of PB on litterfall biomass. The Bayesian approach, tested...
Article
Full-text available
Usually in Ecology, the availability and quality of the data is not as good as we would like. For some species, the typical environmental study focuses on presence/absence data, and particularly with small animals as amphibians and reptiles, the number of presences can be rather small. The aim of this study is to develop a spatial model for studyin...
Article
Full-text available
Climatic change is expected to affect forest development in the short term, as well as the spatial distribution of species in the long term. Species distribution models are potentially useful tools for guiding species choices in reforestation and forest management prescriptions to address climate change. The aim of this study is to build spatial an...
Article
Full-text available
A comparison of several statistical techniques common in species distribution modeling was developed during this study to evaluate and obtain the statistical model most accurate to predict the distribution of different forest tree species (in our case presence/absence data) according environmental variables. During the process we have developed max...
Conference Paper
Full-text available
Usually in Ecology the availability of the data is not as good as we want. Most of the environmental studies are based on presence/absence data depending of the species. Working with animal species and particularly with small species (as our case amphibians and reptiles) the possibility to have more absences than presences is more than common. The...

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