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Agroforestry has great potential for carbon (C) sequestration among different land uses of the Himalayan region, India. However, our knowledge of C sequestration in particular, agroforestry system around the world is poor. Therefore, we conducted a study to understand biomass accumulation and carbon allocation in different components of the agroforestry system. The highest stem biomass was recorded in Eucalyptus tereticornis (69.43 ± 0.90 Mg ha-1), branch biomass in Populus deltoids (5.04 ± 0.35 Mg ha-1), leaf biomass also in P. deltoids (2.21 ± 0.12 Mg ha-1), and root biomass in Albizia procera (14.01 ± 0.44 Mg ha-1). The highest (81.01%) C allocation was recorded in the stem of Toona ciliate, branch of P. deltoids (5.73%), leaves of E. tereticornis (2.93%) and root of Anthocephalus cadamba (16.83%). The highest CO2 mitigation (160.5 ± 2.55 Mg CO2 ha-1) and C sequestration (45.33 ± 0.60 Mg ha-1) were recorded in E. tereticornis. The highest wheat crop biomass (11.85 ± 0.23 Mg ha-1) and C stock (3.59 ± 0.05 Mg ha-1) were recorded in P. deltiodes. However, soil carbon stock was recorded in E. tereticornis (37.5 ± 3.52 Mg ha-1). Thus, trees on farmlands with crops are suitable for biomass production and C allocation in different components under changing climatic scenarios. [ABSTRACT FROM AUTHOR]

The IPCC in its Fourth Assessment Report (AR4) described the Himalayan Region as data-deficient in terms of climate monitoring. This is a serious impediment to global research initiatives and thus necessitates long-term ecological monitoring (LTEM) across the Himalaya. Being governed by low temperature conditions, the high-altitude regions in Himalaya are more responsive to changing environmental conditions and hence serve as better indicators. We identified few Protected Areas (PAs) and selected forest core area and ecotones along the temperate, sub-alpine, alpine and cold desert ecosystems in Himachal Pradesh to establish a network of permanent monitoring plots (PMPs). Land and vegetation cover map of three selected PAs has been prepared using Landsat TM satellite data. Among the 10 PMPs, the temperate and tree line forests in the GHNP were found to have the highest tree diversity with Taxus wallichiana showing good stand density and regeneration. The soil pH was found to be higher for cold desert and lower for tree line forests and alpine meadows. Soil total carbon and nitrogen contents ranged from 1.08% to 13.37% and 0.094% to 1.14% respectively. It was observed that the herbs diversity showed a positive trend with increasing soil carbon and nitrogen concentrations. Satellite remote sensing proves to be a useful tool in an LTEM study, including biodiversity assessment and climate change research in complex terrains such as the Himalaya. [ABSTRACT FROM AUTHOR]