Predicting Landscape-Scale Habitat Distribution for Ruffed GrouseBonasa umbellusUsing Presence-Only Data

Presence-absence versus presence-only modelling methods for predicting bird habitat suitability

Habitat suitability models can be generated using methods requiring information on species presence or species presence and absence. Knowledge of the predictive performance of such methods becomes a critical issue to establish their optimal scope of application for mapping current species distributions under different constraints. Here, we use breeding bird atlas data in Catalonia as a working ...

Predicting Pelagic Habitat with Presence-only Data using Maximum Entropy for Olive Ridley Sea Turtles in the Eastern Tropical Pacific

............................................................................................................................................................................ 8 Introduction ...................................................................................................................................................................... 9 Olive ridley sea turtles in the eastern ...

Using habitat distribution models to evaluate large-scale landscape priorities for spatially dynamic species

1. Large-scale conservation planning requires the identification of priority areas in which species have a high likelihood of long-term persistence. This typically requires high spatial resolution data on species and their habitat. Such data are rarely available at a large geographical scale, so distribution modelling is often required to identify the locations of priority areas. However, distr...

A GIS-Based Landscape Scale Model for Native Bee Habitat

On the selection of thresholds for predicting species occurrence with presence‐only data

Presence-only data present challenges for selecting thresholds to transform species distribution modeling results into binary outputs. In this article, we compare two recently published threshold selection methods (maxSSS and maxF pb) and examine the effectiveness of the threshold-based prevalence estimation approach. Six virtual species with varying prevalence were simulated within a real land...