In this study, we compared measured and simulated Net Ecosystem Exchange (NEE) values from three wide spread ecosystems in the southeast of Ireland (forest, arable and grassland), and investigated the suitability of the DNDC (the DeNitrification-DeComposition) model to estimate present and future NEE. Although, the field-DNDC version overestimated NEE at temperatures >5 °C, forest-DNDC under-estimated NEE at temperatures >5 °C. The results suggest that the field/forest DNDC models can successfully estimate changes in seasonal and annual NEE from these ecosystems. Differences in NEE were found to be primarily land cover specific. The annual NEE was similar for the grassland and arable sites, but due to the contribution of exported carbon, the soil carbon increased at the grassland site and decreased at the arable site. The NEE of the forest site was an order of magnitude larger than that of the grassland or arable ecosystems, with large amounts of carbon stored in woody biomass and the soil. The average annual NEE, GPP and Reco values over the measurement period were -904, 2379 and 1475 g C m(-2) (forest plantations), -189, 906 and 715 g C m(-2) (arable systems) and -212, 1653 and 1444 g C m(-2) (grasslands), respectively. The average RMSE values were 3.8 g C m(-2) (forest plantations), 0.12 g C m(-2) (arable systems) and 0.21 g C m(-2) (grasslands). When these models were run with climate change scenarios to 2060, predictions show that all three ecosystems will continue to operate as carbon sinks. Further, climate change may decrease the carbon sink strength in the forest plantations by up to 50%. This study supports the use of the DNDC model as a valid tool to predict the consequences of climate change on NEE from different ecosystems.
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http://dx.doi.org/10.1016/j.scitotenv.2012.12.030 | DOI Listing |
Plants (Basel)
January 2025
College of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
As sustainable forest management gains increasing attention, comprehending the impact of stand density on soil properties and microbial communities is crucial for optimizing forest ecosystem functions. This study employed high-throughput sequencing in conjunction with soil physicochemical analysis to assess the effects of stand density on soil physicochemical properties and microbial community characteristics in Chinese fir plantations, aiming to elucidate the influence of density regulation on ecosystem services. Our results suggested that changes in soil physicochemical properties and microenvironmental conditions were key drivers of soil microbial diversity.
View Article and Find Full Text PDFJ Environ Manage
January 2025
Department of Forestry, College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan, 430070, Hubei, China. Electronic address:
The readiness of leaf-litter to burn in the presence of fire differs greatly between species. Thus, forests composed of different species vary in their susceptibility to fire. Fire susceptibility of forests may also differ from the arithmetic means of flammability of their component species, i.
View Article and Find Full Text PDFAppl Environ Microbiol
January 2025
Tohoku Research Center, Forestry and Forest Products Research Institute, Forest Research and Management Organization, Morioka, Japan.
Unlabelled: , a white-colored truffle that is endemic to Japan, is promising for culinary purposes due to its unique aroma. We were able to cultivate in plantations of inoculated seedlings for the first time. Ascocarps were found after 43 months at one site and after 61 months at another.
View Article and Find Full Text PDFPlant Dis
January 2025
Microbiology, Campus Universitário s/n, Viçosa, Minas Gerais, Brazil, 36570-000;
The Ralstonia solanacearum Species Complex (RSSC) is the most significant plant pathogen group with a wide host range. It is genetically related but displays distinct biological features, such as restrictive geography occurrence. The RSSC comprises three species: Ralstonia pseudosolanacearum (phylotype I and III), Ralstonia solanacearum (phylotype IIA and IIB), and Ralstonia syzygii (phylotype IV) (Fegan and Prior 2005).
View Article and Find Full Text PDFScience
January 2025
Department of Biology & Leverhulme Centre for Nature Recovery, University of Oxford, Oxford, UK.
The impacts of degradation and deforestation on tropical forests are poorly understood, particularly at landscape scales. We present an extensive ecosystem analysis of the impacts of logging and conversion of tropical forest to oil palm from a large-scale study in Borneo, synthesizing responses from 82 variables categorized into four ecological levels spanning a broad suite of ecosystem properties: (i) structure and environment, (ii) species traits, (iii) biodiversity, and (iv) ecosystem functions. Responses were highly heterogeneous and often complex and nonlinear.
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