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โครงการหนังสืออิเล็กทรอนิกส์ด้านการเกษตร เฉลิมพระเกียรติพระบาทสมเด็จพระเจ้าอยู่หัว

the soil of integrated farming are higher than the SOCD accumulated in the soil of maize/maize seed.
For evaluating the yield of maize / maize seed under climate change, with models EPIC found that

climate change under A2 scenarios both periods were affected in a positive yield maize. On the
other hand climate change under B2 scenarios, both periods, negatively affected maize/maize seed

yield. The impact of climate change on integrated farming yields with the EPIC model revealed that
climate change under both scenarios A2 have a positive impact on maize/maize seed yield. On the

other hand Climate change under B2 scenarios for both periods have negatively affect the yield of
maize/maize seed. While under climate change A2 and B2 scenarios and both periods positively

affect the yield of potatoes and soybeans. The loss of nutrients in the soil showed that the amount
of nitrogen and phosphorus loss in the integrated farming was less than that of the maize/maize

seed planted in the present situation and under the climate change A2 and B2 scenarios and in two
periods.

The amount of greenhouse gas emissions from the burning of agricultural residual, it was
found that the amount of greenhouse gas emissions from maize seed (67%) was higher than that of

maize (17.89%) and integrated farming (14.82%), respectively. Considering the amount of greenhouse
gas emissions from the burning of agricultural residual in the district from high to low as follows,

Pang Hin Phon > Ban Thup> Mae Na Jon> Mae Suk> Tha Pha> Gong Khag> Mae Dad> Chamlong>
Chang Khoung and no post-harvest greenhouse gases was released at Ban Chan. And the number of
household members has a negative influence on the amount of greenhouse gas emissions and is

the only factor that has a statistically significant relationship. The study on the effect on water
balance, runoff and sedimentation under different land use change scenarios emphasized the

increase/decrease of maize planting area by 4 hypothesis namely changed the planting area of maize
to the same percentage 0%, 50 %, 80 % and planting perennial 53.94%, forest 28.56% and other

plants 17.7%, respectively under climate change A2 and B2 scenarios by SWAT model. The results
show that the composition of the water balance is derived from the sum of the mean values for

each of the components: surface runoff + water from the lateral flow + inflow water into the
groundwater - loss of seepage. It was found the reduction in maize planting (maize fell by 0%) and
perennial plantings (53.94%), forest (28.56%) and other plants (17.7%) showed that the average flow

in all climate change scenarios was low. The situation where the forest area increases or the

perennial increase have resulted in higher daytime respiration than the situation of planting maize
is the same or increase the area of maize to 80% because the large trees help slow down the flow
of water, causing the flow down the side and the water flowing into the groundwater under A2 and

B2 climate change scenarios. As a result, the lowest amount of sediment is obtained. It shows that
when the forest area is reduced and the area of maize growing. The amount of sediment is also

increased.
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