#Apsim crop model simulator

The results showed that the suggested adaptations could have a significant impact on the resilience of the atmospheric changes. The adaptation benefits observed in DSSAT were higher than in APSIM. The adoption rate for DSSAT was about 78%, and for APSIM, it was about 68%. The adaptation package showed positive results in poverty reduction and improvement in the livelihood conditions of the agricultural households.

In both CSMs, the poverty status was higher in RCP 8.5 than in RCP 4.5. The results revealed that CC's net economic impact using both RCPs and CSMs was negative. The socio-economic impacts were calculated using the Multidimensional Impact Assessment Tradeoff Analysis Model (TOA-MD).

#Apsim crop model simulator

The crop modeling was carried out by using the Agricultural Production Systems Simulator (APSIM) and the Decision Support System for Agrotechnology Transfer (DSSAT) crop simulation models (CSMs), which were tested on the cross-sectional data of 217 farm households collected from the seven strata in the study area. For this purpose, climate modeling was carried out by using two representative concentration pathways (RCPs), i.e., RCPs 4.5 and 8.5, and five global circulation models (GCMs). The study was conducted in the Punjab province's rice-wheat cropping system.

The objective of this analysis was to quantify the economic impacts of CC on the agricultural production system and to quantify the impacts of suggested adaptation strategies at the farm level. Pakistan is among the top ten most prone nations to CC in the world. There are numerous anticipated effects of climate change (CC) on agriculture in the developing and the developed world.