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Based on the Web of Science Core Collection databases from 1990 to 2018, a scientometric analysis of 1,284 academic works related to forest carbon sequestration is carried out to characterize the intellectual landscape by identifying and revealing the basic characteristics, research power, intellectual base and research hotspots in this field. The results of this work show that: ① the number of publications in forest carbon sequestration research has increased rapidly and the research in this field is in its "growth stage"; Forest Ecology and Management is the most productive journal and Forestry is the most popular subject category; ② the most productive authors and institutions in this subject area are in the USA, China and Canada, with the Chinese Academy of Sciences being the key institution performing such research; ③ in the sample, 9 papers have played a key role in the evolution of the field and laid a solid foundation for future research; ④ Keyword clustering analysis showed that the main research topics in the domain of forest carbon sequestration could be summarized as: (a) temperate forest; (b) forest management; (c) uncertainty analysis; (d) forest floor; (e) REDD; (f) net primary productivity. Meanwhile, keyword bursts analysis showed that the new research hotspots or research frontiers mainly concentrated on changes in the carbon storage and carbon sequestration potential of secondary forests and tropical forests, plant litter carbon storage and contribution to total ecosystem carbon storage, and new national forest inventories (NFIs). Through in-depth analysis of forest carbon sequestration research, this paper provides a better understanding of development trends that have emerged in this field over the past 29 years, which can also offer reference for future research. [ABSTRACT FROM AUTHOR]

Abstract: One way to mitigate greenhouse gas emissions is to provide incentives to forest and farm mangers for adopting practices that store greater amounts of carbon in trees and soils. There is strong interest in the use of carbon finance in agriculture and forestry, particularly in developing countries where large proportions of total emissions are land-based, and where there is good technical potential to turn carbon sources into carbon sinks. The development of mechanisms to incentivize bio-carbon storage is limited, however, by the dearth of working examples. In Africa, for example, the few bio-carbon projects that have been put in place have been financed through the voluntary market or the World Bank BioCarbon Fund. One of the few compliance-based offset programs in the world that allows bio-carbon offsets operates wholly in the province of Alberta, Canada. In this paper we draw lessons from a comparative analysis of the Alberta experience with projects in Mozambique and Kenya. The analysis is based on a conceptual framework of actors, functions and incentives in the bio-carbon offset value chain. We identify key success factors in the three cases and conclude that scaling up of successful project experience will require reliable sources of carbon finance, clear institutional frameworks, and much greater participation by both public and private-sector actors in all phases of the bio-carbon value chain. [Copyright &y& Elsevier]

The scientific community, forest managers, environmental organizations, carbon-offset trading systems and policy-makers require tools to account for forest carbon stocks and carbon stock changes. In this paper we describe updates to the Carbon Budget Model of the Canadian Forest Sector (CBM-CFS3) implemented over the past years. This model of carbon-dynamics implements a Tier 3 approach of the Intergovernmental Panel on Climate Change (IPCC) Good Practice Guidance for reporting on carbon stocks and carbon stock changes resulting from Land Use, Land-use Change and Forestry (LULUCF). The CBM-CFS3 is a generic modelling framework that can be applied at the stand, landscape and national levels. The model provides a spatially referenced, hierarchical system for integrating datasets originating from different forest inventory and monitoring programs and includes a structure that allows for tracking of land areas by different land-use and land-use change classes. Ecosystem pools in CBM-CFS3 can be easily mapped to IPCC-defined pools and validated against field measurements. The model uses sophisticated algorithms for converting volume to biomass and explicitly simulates individual annual disturbance events (natural and anthropogenic). Several important scientific updates have been made to improve the representation of ecosystem structure and processes from previous versions of CBM-CFS. These include: (1) an expanded representation of dead organic matter and soil carbon, particularly standing dead trees, and a new algorithm for initializing these pools prior to simulation, (2) a change in the input data requirement for simulating growth from biomass to readily available merchantable volume curves, and new algorithms for converting volume to biomass, (3) improved prediction of belowground biomass, and (4) improved parameters for soil organic matter decay, fire, insect disturbances, and forest management. In addition, an operational-scale version of CBM-CFS3 is freely... [Copyright &y& Elsevier]