X Li, K Wu, S Hao, Z Yue, Z Ran, J Ma - Field Crops Research, 2023 - Elsevier
Context Assessing farmland suitability is a crucial step towards the rational utilization of land
resources and ensuring sustainable agricultural development. Despite China's position as a …

Akaike information criterion should not be a “test” of geographical prediction accuracy in ecological niche modelling

JA Velasco, C González-Salazar - Ecological Informatics, 2019 - Elsevier
Abstract Model complexity in ecological niche modelling has been recently considered as
an important issue that might affect model performance. New methodological developments …

Digital footprints: Incorporating crowdsourced geographic information for protected area management

C Walden-Schreiner, YF Leung, L Tateosian - Applied Geography, 2018 - Elsevier
Biodiversity loss driven by anthropogenic pressures highlights the importance of
conservation efforts in protected areas globally. Protected areas are also locations providing …

Methodological analysis of bioclimatic variable selection in species distribution modeling with application to agricultural pests (Metcalfa pruinosa and Spodoptera …

S Yoon, WH Lee - Computers and Electronics in Agriculture, 2021 - Elsevier
MaxEnt is a machine-learning-based species distribution modeling tool that is widely used
to evaluate the occurrence possibility of a species. The characteristics of the algorithm …

Bunching up the background betters bias in species distribution models

J Vollering, R Halvorsen, I Auestad, K Rydgren - Ecography, 2019 - Wiley Online Library
Sets of presence records used to model species' distributions typically consist of
observations collected opportunistically rather than systematically. As a result, sampling …