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Other documentManaging taxonomic and functional diversity is the key to sustain aboveground biomass and soil microbial diversity: A synthesis from long-term forest restoration of southern China
XV World Forestry Congress, 2-6 May 2022
2022Also available in:
No results found.Exploring the biodiversity-ecosystem functioning relationship is one of the central goals of ecological research. Restoration is essential for supporting key ecosystem functions such as aboveground biomass production and managing soil microbial diversity. However, the relative importance of functional versus taxonomic diversity in explaining aboveground biomass and soil microbial diversity during restoration is poorly understood. Here, we used a trait-based approach to test for the importance of multiple plant diversity attributes in regulating aboveground biomass and soil microbial diversity in four 30- years-old restored subtropical forests in southern China. High-throughput Illumina sequencing was applied for detecting fungal and bacterial diversity. We show that both taxonomic and functional diversities are significant and positive regulators of aboveground biomass; however, functional diversity (FD) was more important than taxonomic diversity (TD) in controlling aboveground biomass. FD had the strongest direct effect on aboveground biomass compared with TD, soil properties, and community weighted mean (CWM) traits. Our results further indicate that leaf and root morphological traits and traits related to the nutrient content in plant tissues showed acquisitive resource use strategy which influenced aboveground biomass. In contrast to aboveground biomass, taxonomic diversity explained more of the soil microbial diversity than the FD and soil properties. Prediction of fungal richness was better than that of bacterial richness. In addition, root traits explained more variation of soil microbes than the leaf traits. Our results suggest that both TD and FD play a role in shaping aboveground biomass and soil microbial diversity; but FD is more important in supporting aboveground biomass while TD for belowground microbial diversity. These results imply that enhancing TD and FD is important to restoring and managing degraded forest landscapes. Key words: Biodiversity-Ecosystem functions; soil microbial diversity, taxonomic diversity, functional diversity, forest restoration ID: 3486373 -
Journal 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 -
Journal articleLong and short run effects of climate change on forest rents in Zambia: A time series analysis
XV World Forestry Congress, 2-6 May 2022
2022Also available in:
No results found.Extant literature often focuses on the impact of deforestation on climate change; often with conclusions that deforestation must be discouraged. However, forests are a key contributor to socio-economic wellbeing of the people at household level as well as to economic growth of nations through the natural resources extracted from them. Forests are a great reservoir of biodiversity. In most developing countries, forests are also the most reliable drug stores, they supply medicinal remedies. Instead of preventing people from utilizing these resources, a good approach is to embrace sustainable forest resource utilization. Hence, understanding how climate change affects forest rents would be useful in formulating policy that builds a resilient ecosystem. This study uses climate change and forest rents data from 1970 to 2019 to model long and short run relationship between climate change and forest rents in Zambia. Rainfall, temperature and agricultural land were used as climate change variables. This data was obtained from the World Bank climate change portal and World Development Index. A long run positive relationship was found between agricultural land and forest rents. The speed of adjustment was 56.85%. Carbon dioxide (CO2) emissions were significant predictors in the short run. Rainfall was generally not a significant predictor of forest rents. The findings further indicate that increased rainfall granger causes increase in agricultural land clearance. Also a bi-directional causal relationship between CO2 and agricultural land was found. These findings offer interesting tips that could be considered when formulating energy, natural resource and climate change policies. Keywords: Forest rents, Climate change, Time series, Cointegration, Zambia ID 3624205
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