Related items
Showing items related by metadata.
-
ArticleForest landscapes restoration measures as a cost effective solution for climate change mitigation and adaptation in India
XV World Forestry Congress, 2-6 May 2022
2022Also available in:
No results found.Global deforestation and forest degradation have led to massive loss of biodiversity. Hence, it is important not only to protect but also restore the forest ecosystems. Forest biodiversity protection, biomass production and climate change mitigation and adaptation are important key motivation for forest restoration. Tree-based landscape restoration is a widely accepted cost-effective measure to combat climate change. India’s commitment of Nationally Determined Contribution to the Paris Agreement is to sequester additional 2.5 to 3 billion tons CO2 equivalent by 2030 through increased forest and tree cover and this ties in with the Bonn Challenge commitment to restore 21 mha of deforested and degraded lands by 2030 (now increased to 26 mha during UNCCD COP 14 meeting held in Sept. 2019) as well as the SDGs. This commitment can only be met if existing forests are protected and improved and tree cover is extended by 25 to 30 mha. The main objectives of the Forest Landscape Restoration (FLR) in India is to reverse the process of degradation of forests & improve its productive potential, improve the regeneration of native flora & enrich the biodiversity, and enhance biomass production, carbon stocks & incomes of the rural households. For a successful FLR works in India, focus needs to be on proactive involvement of communities and local people, better coordination among the various government agencies and departments for effective implementation of project activities, robust Institutional mechanism, and continuous fund flow and support to sustain the activities and keep the restored areas intact. Here, we present how India can achieve the NDC and Bonn Challenge through forest landscape restoration. Potential to increase forest and tree cover and the carbon sequestration that can be achieved has been discussed. This will support planning for landscape restoration through the past and on-going initiatives which identifies different types of interventions implemented. Keywords: Deforestation and forest degradation; Climate change; Biodiversity conservation; Research; Landscape management ID: 3469382 -
ArticleThe change in forest productivity and stand-dynamics under climate change in East Asian temperate forests: A case study from South Korean forests
XV World Forestry Congress, 2-6 May 2022
2022Also available in:
No results found.The velocity and impact of climate change on forest appear to be site, environment, and tree species-specific.The primary objective of this research is to assess the changes in productivity of major temperate tree species in South Korea using terrestrial inventory and satellite remote sensing data. The area covered by each tree species was further categorized into either lowland forest (LLF) or high mountain forest (HMF) and investigated. We used the repeated Korean national forest inventory (NFI) data to calculate a stand-level annual increment (SAI). We then compared the SAI, a ground-based productivity measure, to MODIS net primary productivity (NPP) as a measure of productivity based on satellite imagery. In addition, the growth index of each increment core, which eliminated the effect of tree age on radial growth, was derived as an indicator of the variation of productivity by tree species over the past four decades. Based on these steps, we understand the species- and elevation-dependent dynamics. The secondary objective is to predict the forest dynamics under climate change using the Perfect Plasticity Approximation with Simple Biogeochemistry (PPA- SiBGC) model. The PPA-SiBGC is an analytically tractable model of forest dynamics, defined in terms of parameters for individual trees, including allometry, growth, and mortality. We estimated these parameters for the major species by using NFI and increment core data. We predicted forest dynamics using the following time-series metrics: Net ecosystem exchange, aboveground biomass, belowground biomass, C, soil respiration, and relative abundance. We then focus on comparing the impact of climate change on LLF and HMF. The results of our study can be used to develop climate-smart forest management strategies to ensure that both LLF and HMF continue to be resilient and continue to provide a wide range of ecosystem services in the Eastern Asian region. Keywords: mountain forests, lowland forests, increment core, national forest inventory, MODIS NPP ID: 3486900 -
ArticleAgroforestry for climate change adaptation: A study from Siwalik, Makwanpur, Nepal
XV World Forestry Congress, 2-6 May 2022
2022Also available in:
No results found.The study aims to analyze factors affecting the adoption of agroforestry for climate change adaptation. The specific objectives were to analyze the effect caused by change in rainfall patterns and variation in temperature in agroforestry, identify the agroforestry-based adaptation practices. Rakhsiranga Rural Municipality of Makwanpur District was selected as the study area. There are 940 households in this municipality. Out of this, 100 HHs were selected randomly for interview. The survey was conducted in April and May, 2020. Altogether, two focus group discussions were also carried out to collect the data. Field observation of the practices, impacts and applied strategies explored more information regarding agroforestry practices. Secondary data were collected through different articles. People’s precipitation about the climate change was collected from during the field work. Increase in insect pests, diseases and invasive species, reduced productivity and increased fire events were notable changes faced by agroforestry practicing farmers which were seems to be cause by the climate change as per the survey and data. Farmers were practicing different agroforestry systems in their farm land, they mostly preferred agrihortisilviculture. The household size and age of the people was highly correlated with adaptation of agrihortisilviculture since the p-value was less than 0.05. Keywords: Adaptation, agroforestry, climate change, diversification ID: 3486367
Users also downloaded
Showing related downloaded files
No results found.