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Assessment of forest cover and carbon stock changes in sub-tropical pine forest of Azad Jammu & Kashmir (AJK), Pakistan using multi-temporal Landsat satellite data and field inventory.
Khan, Iftikhar Ahmad; Khan, Mobushir Riaz; Baig, Muhammad Hasan Ali; Hussain, Zaker; Hameed, Nasir; Khan, Junaid Aziz.
Afiliação
  • Khan IA; Department of Forest, Azad Jammu & Kashmir, Pakistan.
  • Khan MR; Institute of Geo-information & Earth Observation (IGEO), PMAS-Arid Agriculture University Rawalpindi, Pakistan.
  • Baig MHA; Institute of Geo-information & Earth Observation (IGEO), PMAS-Arid Agriculture University Rawalpindi, Pakistan.
  • Hussain Z; Institute of Geo-information & Earth Observation (IGEO), PMAS-Arid Agriculture University Rawalpindi, Pakistan.
  • Hameed N; Department of Forest, Azad Jammu & Kashmir, Pakistan.
  • Khan JA; Land Use Planning Section, Planning & Development Department, Azad Jammu & Kashmir, Pakistan.
PLoS One ; 15(1): e0226341, 2020.
Article em En | MEDLINE | ID: mdl-31971948
This study aimed at estimating temporal (1989-2018) change in forest cover, carbon stock and trend in corresponding CO2 emissions/sequestration of a sub-tropical pine forest (STPF) in AJK, Pakistan. Our field inventory estimation shows an average above ground biomass (AAGB) accumulation of 0.145 Kt/ha with average carbon stock (ACS) value of 0.072 Kt/ha. Landsat TM, ETM+ and OLI images of 1989, 1993, 1999, 2005, 2010, 2015 and 2018 were used to extract vegetation fractions through Linear Spectral Mixture Analysis (LSMA) and forest area was calculated for respective years. Based on the forest area and estimated ACS value, the biomass carbon stock with corresponding CO2 emissions/sequestration was worked out for each time and change in forest carbon stock was determined for different time periods from 1989 to 2018. Our analysis shows net increase of 561 ha in forest cover and 40.39 Kt of ACS along with increase in corresponding CO2 sequestrations of 147.83 Kt over the study period. The results based on combination of remote sensing and field inventory provide valuable information and scientific basis to plan and ensure sustainable forest management (SFM) through reforestation, protection and conservation to enhance and maintain adequate forest cover and reduce CO2 emissions.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Carbono / Florestas / Monitoramento Ambiental / Ecossistema / Conservação dos Recursos Naturais / Pinus / Tecnologia de Sensoriamento Remoto País/Região como assunto: Asia Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Paquistão País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Carbono / Florestas / Monitoramento Ambiental / Ecossistema / Conservação dos Recursos Naturais / Pinus / Tecnologia de Sensoriamento Remoto País/Região como assunto: Asia Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Paquistão País de publicação: Estados Unidos