From 438b1f57cf01d3ac108c0c04b753d22cb82fb2e5 Mon Sep 17 00:00:00 2001 From: frousseu Date: Fri, 6 Oct 2023 12:24:46 -0400 Subject: [PATCH] added some refs --- pipelines/SDM/SDM_maxEnt_outputs.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pipelines/SDM/SDM_maxEnt_outputs.json b/pipelines/SDM/SDM_maxEnt_outputs.json index 2cb06715..41ba9334 100644 --- a/pipelines/SDM/SDM_maxEnt_outputs.json +++ b/pipelines/SDM/SDM_maxEnt_outputs.json @@ -1014,7 +1014,7 @@ }, "metadata": { "name": "Species distribution modeling with Maxent", - "description": "This pipeline generates predictions for a species distribution model using the Maxent algorithm. Several background methods are possible, including randomly distributed pseudo-absences throughout the region, background thickening and target-group background selection. Bias correction is achieved using the target-group background selection method. A variance map to represent the prediction uncertainty is generated through bootstraping.", + "description": "This pipeline generates predictions for a species distribution model using the Maxent algorithm. Several background methods are possible, including randomly distributed pseudo-absences throughout the region, background thickening (Vollering et al. 2019, [https://doi.org/10.1111/ecog.04503] and target-group background selection (Phillips et al. 2009, [https://doi.org/10.1890/07-2153.1]). Bias correction is achieved using the target-group background selection method. A variance map to represent the prediction uncertainty is generated through bootstraping.", "author": [ { "name": "Sarah Valentin",