Key factors influencing tree planting decisions of households a case study in pakistan

MINISTRY OF EDUCATION MINISTRY OF AGRICULTURE AND AND TRAINING RURAL DEVELOPMENT VIETNAM NATIONAL UNIVERSITY OF FORESTRY  PERVEZ KHAN “KEY FACTORS INFLUENCING TREE PLANTING DECISION OF HOUSEHOLDS: A CASE STUDY IN PAKISTAN” Major: Forest Science Code: 8620201 MASTER THESIS IN FOREST SCIENCE Supervisor: Dr Le Dinh Hai Signature:…………………… Hanoi, November 2018 ABSTRACT Farm forestry as a system of incorporation of commercial tree growing and managed by farmers into the farming system for the production of both wood and non-wood products, encouraging sustainable natural resource management and increasing agricultural productivity In Pakistan, the importance of farm forestry was recognized in the late 1970s to provide wood to market and alleviate poverty Several provinces started farm forestry projects in their province, but the most important initiative and momentum came to farm forestry when the United state Agency for International Development (USAID) launch Forestry planning and development project from1985 to 1994 Trees on farmland improve the microclimate protect us, our animals and houses from shining sun and cold winds Trees improve soil fertility; enhance soil microbial and enzymatic activity, decomposition and physical characteristics Trees protecting watersheds, maintenance of biodiversity, enhancement of environmental quality, soil erosion barriers, and the source of timber and non-timber materials include nutrient cycling, soil formation, oxygen production, carbon sequestration and climate regulation Plantations play a significant role in the ecology and economy of countries like Pakistan, where forests and trees already are scarce and make up only about 5% of the total land area I aimed to explored farmer‟s actual decisions about the planting of trees and the perceptions and attitudes towards tree planting decision The area was investigated through stratified random simple sampling technique by interviewing 120 households The research investigated and determined significant correlated factors (Education level, Attitude of tree planting and silviculture knowledge) The full model containing all predictors was statistically significant, X2 (3, N=120)=53.611, Sig