1. AHMAD ZAMIR - Pakistan Forest Institute Peshawar, Pakistan.
2. ROMANA AMBREEN - Department of Geography and Regional Planning, University of Balochistan, Quetta.
3. GHULAM YASIN SHAIKH - Department of Plant Pathology, Lasbela University of Agriculture Water and Marine Sciences, Uthal, Baluchistan, Pakistan & National Nematological Research Center, University of Karachi.
4. LAEIQ AHMAD - Department of Geology, University of Swabi, KPK.
5. RIAZ HUSSAIN MARI - Department of Botany, Shaheed Naseem Ahmed Khral Government Superior Science College, Khairpur Sindh, Pakistan.
6. MIRZA HUSSAIN - Department of Botany, Government Girls Degree Science College, Gambat.
7. AZRA KALHORO - Department of Botany, Shah Abdul Latif University, Khairpur.
8. ARZ MUHAMMAD UMRANI - Pakistan Forest Institute Peshawar, Pakistan.
The present study was design to know the role of forest soil which play an important role in balancing and storing of the earth ‘s carbon, which ultimately reduces the global warming consequences. Nonetheless, this balance of carbon stock storage is disturbed rapidly over the last several decades because of deforestation and change in landscape pattern. Chir Pine (Pinus roxburghii) forest of Shinkiari-Mansehra is under constant threat because of deforestation and change in land-use patterns. Therefore, the current study was designed to evaluate the impact of deforestation and land-use pattern on soil-carbon stock through developing an inventory at the national level on the soil of Chir Pine (Pinus roxburghii) forest, Shinkiari-Mansehra. Forest ‘s soil is one of the sources of carbon sequestration. It has been estimated that approximately 1500 (±20 %) Gt of carbon is sequestered in 1m soil and detritus whereas about 800 Gt of carbon is pooled in forest soils globally. Forest sequestered a major portion of the carbon in the soil. Thus, forest ecosystem plays an important function to balance the climate of the country. A slight imbalance in a forest ecosystem can cause a disturbance in the carbon cycle thus climate change may occur. The present study will be important to explore the carbon in the soil of Chir of the Chir Pine (Pinus roxburghii) forest. Our data showed that stepwise regression model is best suitable for precise and accurate predicting of soil carbon stocks in relation to soil properties (BD, texture, pH, EC, and SOC stocks) Chir pine (Pinus roxburghii) forest of Shinkirai-Khyber Pakhtunkhwa. The overall correlation of the SLR model was good with R2 value (0.81) which explained 81 % of the SOC data with elevation and forest density and only 19 % data left unexplained. There was a weak correlation with SOC and BD, pH, and EC.
Forest soil, Linear Regression, shinkiari, SOC, carbon Sequestration, chir pine.