diff --git a/15-eco.Rmd b/15-eco.Rmd
index 64fd954c3..95a4da453 100644
--- a/15-eco.Rmd
+++ b/15-eco.Rmd
@@ -120,7 +120,7 @@ knitr::include_graphics("images/15_sa_mongon_sampling.png")
 The next step is to compute variables which are not only needed for the modeling and predictive mapping (see Section \@ref(predictive-mapping)) but also for aligning the non-metric multidimensional scaling (NMDS)\index{NMDS} axes with the main gradient in the study area, altitude and humidity, respectively (see Section \@ref(nmds)).
 
 Specifically, we compute catchment slope and catchment area\index{catchment area} from a digital elevation model\index{digital elevation model} using R-GIS bridges (see Chapter \@ref(gis)).
-Curvatures might also represent valuable predictors, and in the exercise section you can find out how they would impact the modeling result.
+Curvatures might also represent valuable predictors, and in the Exercise section you can find out how they would impact the modeling result.
 
 To compute catchment area\index{catchment area} and catchment slope, we can make use of the `sagang:sagawetnessindex` function.^[Admittedly, it is a bit unsatisfying that the only way of knowing that `sagawetnessindex` computes the desired terrain attributes is to be familiar with SAGA\index{SAGA}.]
 `qgis_show_help()` returns all function\index{function} parameters and default values of a specific geoalgorithm\index{geoalgorithm}.