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Peatlands are a key component of terrestrial ecosystems, and their development has an important impact on global carbon cycle and climate change. However, the long-term evolution of global peatlands remains uncertain, particularly their spatial distribution. We compiled 4700 basal peatland data during Holocene, and 669 pollen data of Sphagnum with basal and end ages, to allow a more robust reconstruction of the spatial distribution of peatlands. Using buffer analysis (BA) and inverse distance weighted (IDW) interpolation of peat data, we reconstructed spatiotemporal changes in global peatland area at a spatial resolution of 0.5° × 0.5° for every 1,000 years period during Holocene. The results show that peatland area have expanded substantially in North America, Europe, and Western Siberia during early-Holocene, and increased rapidly from 2.18(0.32) Mkm to 4.03(3.08) Mkm during 12-6 ka BP, then slowly to 4.15(4.23) Mkm after 6 ka BP according to BA (IDW) methods. The database will be useful for analyzing the global/regional terrestrial carbon cycle and climate change during Holocene, especially for modeling peatland methane emissions.
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http://dx.doi.org/10.1038/s41597-024-04339-0 | DOI Listing |
Ying Yong Sheng Tai Xue Bao
August 2025
Institute for Peat and Mire Research, School of Geographical Sciences, Northeast Normal University, Changchun 130024, China.
Peatlands are one of the most important terrestrial carbon storage reservoirs. The response of soil labile organic carbon fractions to environmental changes is a pivotal indicator for assessing the stability of soil organic carbon pools. Soil enzymes act as primary participants in the biogeochemical processes of peatlands, significantly influence the material cycling and energy flow.
View Article and Find Full Text PDFYing Yong Sheng Tai Xue Bao
August 2025
Key Laboratory of National Forestry and Grassland Administration on Forest Ecosystem Protection and Restoration of Poyang Lake Watershed, College of Forestry, Jiangxi Agricultural University, Nanchang 330045, China.
To analyze the impacts of increased nutrient availability on plant community structure, we conducted a long-term field N and P addition experiment in a typical peatland in the north of Greater Khingan Mountain and investigated species dominance, community diversity, and aboveground biomass after four, six, and eight years of N (6 g N·m·a) and P (2 g P·m·a) addition. The results showed that P addition did not affect the dominances of deciduous shrub, evergreen shrub, sedge, grass, forb, moss, and lichen. However, N addition significantly increased the importance values and dominances of deciduous shrub and grass but reduced the importance values and dominances of moss and lichen.
View Article and Find Full Text PDFJ Environ Manage
August 2025
Michigan Technological University, 1600 Townsend Dr, Houghton MI, 49931, USA. Electronic address:
Peatland conservation and restoration are globally important goals because of peatlands' potential to sequester and store carbon for millennia, regulate hydrology, and emit greenhouse gases (GHGs) when degraded. To provide information that can be used to identify possible targets for restoration, we have developed a peatland condition map for the conterminous US and Hawaii using existing GIS-based information. We intersected gSSURGO histosols and histic epipedons (HE) with layers for land use, crops, ditches, roads, and railroads (within 150 m buffers for the last three), land protection classes, and USDA Natural Resources Conservation Service (NRCS) wetland easements.
View Article and Find Full Text PDFMar Biotechnol (NY)
August 2025
Malaysia Japan International Institute of Technology, Universiti Teknologi Malaysia, Jalan Sultan Yahya Petra, 54100, Kuala Lumpur, Malaysia.
The microalgae Euglena holds promise for biofuel production due to its high lipid content. However, the lipid productivity of current species/strains for biofuel production remains suboptimal due to limitations in strain selection. Therefore, this study aims to isolate and identify novel Euglena species or strains with high biomass and lipid productivity to enhance biofuel production from a desirable environment.
View Article and Find Full Text PDFNew Phytol
August 2025
Center for Biodiversity & Evolution, New York Botanical Garden, Bronx, NY, 10458, USA.
Artificial intelligence (AI) for image-based herbarium specimen identification has thus far focused on plants that can be identified by eye. Here, we develop the first AI focused on identifying herbarium specimens of a bryophyte group, peat mosses in Sphagnum subgenus Sphagnum. These plants have substantial morphological plasticity, and confident identifications require time-consuming dissections and microscopy.
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