Dynamics of carbon storage and status of standing vegetation in temperate coniferous forest ecosystem of north western Himalaya India

Abstract

Natural ecosystems, which operate as a sink, play an important role in determining the concentration of CO 2 in the atmosphere and have a large storage capacity, assisting in mitigation of problem that has a negative impact on the human population. Forests are one of the most important carbon sinks in the terrestrial ecosystem, with the best example being the Western Himalaya, where healthy and sustainable vegetation is prized. Standard methodology was adopted for assessing the different parameters of carbon related information to enumerate the status of carbon storage and its trend in sustaining the ecosystem of the area. The current research displays the annual increment and carbon dynamics in various vegetation components and levels. Trees, shrubs, and herbs help to fix atmospheric carbon in a variety of forms, including AGC, BGC, and TC. The concentration of carbon-fixing potential was measured on an annual and seasonal basis, with herbs having the highest mean annual increment, followed by shrubs and trees. Pinus wallichiana had the largest annual carbon stock change among trees, followed by Cedrus deodara , Picea smithiana , and Abies pindrow . P. wallichiana topped the increase percentage with 60.58%, followed by C. deodara 33.35%, P. smithiana 5.61%, and A. pindrow 0.45%. Litter was also investigated as a potential source of mitigation, with the best results observed during the autumn months. Natural coniferous forests provide a regulating ecological service in the region by maintaining carbon dioxide levels in the form of biomass, according to the study.

Invasive Weeds Dynamics, Plant-Microbes Interactions, and Carbon-Nitrogen Cycles in Sino-Pakistan’s Grasslands Perspectives

“…As per estimate, QTP grasslands area represent 30% of China's total GL. The QTP is considered as the highest plateau in the world, with an average elevation of 4000 m [15,16]. This region is commonly referred to as third pole, roof of the world, hot island, and formation center of numerous species (both flora and fauna).…”

“…There is a dire need to formulate policy guidelines with strict implementation plans for the pastoralists in order to ensure sustainable grazing intensity. However, effective monitoring mechanism is a prerequisite to attain reliable information regarding vegetation cover in mountainous GL and impact of CC on soil and vegetation cover [16,18].…”

“…Fundamentally, the concept of GL conservation entails such practices that are adopted for the protection and sustainable management of GL ecosystems in order to maintain biodiversity and ecological integrity for persistent provision of ecosystem services. In the modern era, GL conservation has become associated with the monitoring of anthropogenic interferences and grass-microbe interactions along with carbon and nitrogen (N) cycles [12][13][14][15][16]. The study of these interactions and nutrient cycles might unveil feasible solution for imparting sustainability to traditional and modern ecosystem services offered by GL.…”

The Estimation of Economic Valuation on Carbon Sequestration of Agroforestry Land System

“…Then, the carbon increment of monoculture is low because the age of the plants reaches 20 years, so the ability to absorb carbon is slowed down. Herbs are the fastest-growing vegetation, with the highest relative mean increment value [39]. Meanwhile, shrubs and trees have the lowest, possibly due to physiological processes and the nature of vegetation.…”

Spatial-Temporal Simulation of Carbon Storage Based on Land Use in Yangtze River Delta under SSP-RCP Scenarios

“…In contrast, model simulation methods are widely used because they can effectively estimate and predict carbon storage at different scales [19,20]. Currently, the InVEST model [21,22] is advantageous in simulating the pattern of carbon storage and reflecting the relationship between land use change and carbon storage due to its characteristics of less required driving data and sufficient running speed [23,24]. For instance, Gong et al [25] and Wang et al [26] used the InVEST model to explore the carbon storage patterns in tropical China from 2000 to 2020 and to simulate the spatial and temporal characteristics of carbon storage in the Taihang Mountains ecosystem, respectively.…”