Academic Journal

Understanding spatial effects in species distribution models.

التفاصيل البيبلوغرافية
العنوان: Understanding spatial effects in species distribution models.
المؤلفون: Iosu Paradinas, Janine Illian, Sophie Smout
المصدر: PLoS ONE, Vol 18, Iss 5, p e0285463 (2023)
بيانات النشر: Public Library of Science (PLoS), 2023.
سنة النشر: 2023
المجموعة: LCC:Medicine
LCC:Science
مصطلحات موضوعية: Medicine, Science
الوصف: Species Distribution Models often include spatial effects which may improve prediction at unsampled locations and reduce Type I errors when identifying environmental drivers. In some cases ecologists try to ecologically interpret the spatial patterns displayed by the spatial effect. However, spatial autocorrelation may be driven by many different unaccounted drivers, which complicates the ecological interpretation of fitted spatial effects. This study aims to provide a practical demonstration that spatial effects are able to smooth the effect of multiple unaccounted drivers. To do so we use a simulation study that fit model-based spatial models using both geostatistics and 2D smoothing splines. Results show that fitted spatial effects resemble the sum of the unaccounted covariate surface(s) in each model.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1932-6203
Relation: https://doaj.org/toc/1932-6203
DOI: 10.1371/journal.pone.0285463
URL الوصول: https://doaj.org/article/0c1edafde573494ea86d64567287882b
رقم الانضمام: edsdoj.0c1edafde573494ea86d64567287882b
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:19326203
DOI:10.1371/journal.pone.0285463