Geospatial mapping and biophysical analysis of factors that affect oil palm (Elaeis guineensis) yields in Peninsular Malaysia

Abstract

The objective of this study is to model oil palm yield distributions and investigate the factors that influence oil palm yields in Peninsular Malaysia using remote sensing and geographical information system (GIS) techniques. Herein, we investigate six factors that influence oil palm yield in Peninsular Malaysia, including mean annual minimum and maximum temperatures, mean annual rainfall, average number of rainy days per year, average annual relative humidity, and elevation. In order to model oil palm yield in Peninsular Malaysia, a large yield dataset covering Peninsular Malaysia for 37 years (1983 to 2020), as well as related explanatory variables, were collected. Areal interpolation was used to model the average yield distribution across the study area. The findings of this study show that oil palm yields vary across Peninsular Malaysia. Due to favourable climate and elevation, southern and southwestern Peninsular Malaysia, including Johor, Pahang, Melaka, and Selangor, recorded the highest amount of yield.

RETRACTED: Geospatial assessment of potential land suitability for oil palm (Elaeis guineensis Jacq) cultivation in the western parts of Ethiopia

“…This variation classify the study area into different suitability classes for oil palm cultivation. Previous study by Abubakar et al, (2023b) classified rainfall into four classes: (1329-1420 mm), (1420-1490 mm), (1490-1560 mm) and (>1560 mm) and categorizes as highly suitable, moderately suitable, marginally suitable and not suitable, respectively for oil palm tree cultivation.…”

“…In addition, the southern part of the Jejeba watershed is highly suitable, the northern region is not suitable, whereas the central regions are moderately suitable and marginally suitable for oil palm tree production. Variability of climatic factors like rainfall and temperature has affected oil palm yield distribution in Peninsular Malaysia (Abubakar et al, 2023b).…”