Mechanistic forecasts of species responses to climate change: the promise of biophysical ecology
A core challenge in global change biology is to predict how species will respond to future
environmental change and to manage these responses. To make such predictions and …
environmental change and to manage these responses. To make such predictions and …
[HTML][HTML] An overview of methods to evaluate uncertainty of deterministic models in decision support
There is an increasing need for environmental management advice that is wide-scoped,
covering various interlinked policies, and realistic about the uncertainties related to the …
covering various interlinked policies, and realistic about the uncertainties related to the …
Lifetime reproductive success of northern elephant seals (Mirounga angustirostris)
Lifetime reproductive success of individuals in a natural population provides an estimate of
Darwinian fitness. We calculated lifetime reproductive success in a colony of female …
Darwinian fitness. We calculated lifetime reproductive success in a colony of female …
[КНИГА][B] Introductory fisheries analyses with R
DH Ogle - 2018 - taylorfrancis.com
A How-To Guide for Conducting Common Fisheries-Related Analyses in R Introductory
Fisheries Analyses with R provides detailed instructions on performing basic fisheries stock …
Fisheries Analyses with R provides detailed instructions on performing basic fisheries stock …
Rate of tree carbon accumulation increases continuously with tree size
Forests are major components of the global carbon cycle, providing substantial feedback to
atmospheric greenhouse gas concentrations. Our ability to understand and predict changes …
atmospheric greenhouse gas concentrations. Our ability to understand and predict changes …
Process‐guided deep learning predictions of lake water temperature
The rapid growth of data in water resources has created new opportunities to accelerate
knowledge discovery with the use of advanced deep learning tools. Hybrid models that …
knowledge discovery with the use of advanced deep learning tools. Hybrid models that …
[КНИГА][B] Bayesian models: a statistical primer for ecologists
Bayesian modeling has become an indispensable tool for ecological research because it is
uniquely suited to deal with complexity in a statistically coherent way. This textbook provides …
uniquely suited to deal with complexity in a statistically coherent way. This textbook provides …
[КНИГА][B] Agent-based and individual-based modeling: a practical introduction
SF Railsback, V Grimm - 2019 - books.google.com
The essential textbook on agent-based modeling—now fully updated and expanded Agent-
Based and Individual-Based Modeling has become the standard textbook on the subject for …
Based and Individual-Based Modeling has become the standard textbook on the subject for …
A brief guide to model selection, multimodel inference and model averaging in behavioural ecology using Akaike's information criterion
Akaike's information criterion (AIC) is increasingly being used in analyses in the field of
ecology. This measure allows one to compare and rank multiple competing models and to …
ecology. This measure allows one to compare and rank multiple competing models and to …
Protected areas and local communities: an inevitable partnership toward successful conservation strategies?
GSM Andrade, JR Rhodes - Ecology and society, 2012 - JSTOR
Many protected areas (PAs) have followed the conventional and exclusionary approach
applied at Yellowstone in 1872. As such, many parks have failed to fully integrate other …
applied at Yellowstone in 1872. As such, many parks have failed to fully integrate other …