Integrated long-term, in-situ observations are needed to document ongoing environmental change, to "ground-truth" remote sensing and model outputs and to predict future Earth system behaviour. The scientific and societal value of in-situ observations increases with site representativeness, temporal duration, number of parameters measured and comparability within and across sites. Research Infrastructures (RIs) can support harmonised, cross-site data collection, curation and publication. Integrating RI networks through site co-location and standardised observation methods can help answers three questions about the terrestrial carbon sink: (i) What are present and future carbon sequestration rates in northern European forests? (ii) How are these rates controlled? (iii) Why do the observed patterns exist? Here, we present a conceptual model for RI co-location and highlight potential insights into the terrestrial carbon sink achievable when long-term in-situ Earth observation sites participate in multiple RI networks (e.g., ICOS and eLTER). Finally, we offer recommendations to promote RI co-location.
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http://dx.doi.org/10.1007/s13280-023-01930-4 | DOI Listing |
J Hazard Mater
December 2024
College of Environmental Science and Engineering, Shaanxi University of Science & Technology, Xi'an 710021, China. Electronic address:
Biodegradable plastics, regarded as an ideal substitute for traditional plastics, are increasingly utilized across various industries. However, due to their unique degradation properties, they can generate microplastics (MPs) at a faster rate, potentially posing a threat to plant development. This study employed transcriptomics and metabolomics to investigate the effects of polylactic acid microplastics (PLA-MPs) on the physiological and biochemical characteristics of Brassica chinensis L.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
December 2024
Pharmacognosy Department, Faculty of Pharmacy, Misr International University, Cairo, Egypt.
Contamination of water by heavy toxic metal ions such as (e.g., Cr, Mn, Ni, Cu, Zn, As Pb, Cd, and Ag) can lead to serious environmental and human health problems because of their acute and chronic toxicity to the biological system.
View Article and Find Full Text PDFYing Yong Sheng Tai Xue Bao
October 2024
School of Fishery, Zhejiang Ocean University, Zhoushan 316000, Zhejiang, China.
Mangrove forests are crucial coastal "blue carbon" ecosystems, known for their significant carbon sequestration capabilities to "carbon neutrality" and mitigating global climate change. We used Pb radioisotope dating to analyze sedimentation rates in the sediments of the Oujiang River Estuary mangrove forest, to calculate organic carbon burial rate, and to assess the characteristics and sources of organic carbon burial. The results showed that the average total organic carbon content in the sediments was 1.
View Article and Find Full Text PDFGlob Chang Biol
December 2024
Stockbridge School of Agriculture, University of Massachusetts Amherst, Amherst, Massachusetts, USA.
Anthropogenic nitrogen (N) deposition is unequally distributed across space and time, with inputs to terrestrial ecosystems impacted by industry regulations and variations in human activity. Soil carbon (C) content normally controls the fraction of mineralized N that is nitrified (ƒ), affecting N bioavailability for plants and microbes. However, it is unknown whether N deposition has modified the relationships among soil C, net N mineralization, and net nitrification.
View Article and Find Full Text PDFHuan Jing Ke Xue
January 2025
School of Geographical Sciences and Tourism, Xinjiang Normal University, Urumqi 830054, China.
Land use change is the main cause of carbon stock changes in terrestrial ecosystems. Studying the impact mechanisms of carbon stock changes in different land use types in the arid zone and simulating future changes in land use and carbon stock under different scenarios will help to formulate a scientific land use policy for the arid zone to promote high-quality and sustainable development in the region. Based on the Xinjiang land use data from 2000 to 2020, the coupled PLUS-InVEST model analyzed the spatial and temporal characteristics of land use and carbon stock in Xinjiang from 2000 to 2020 and predicted the changes in land use and carbon stock in Xinjiang in 2030 under the scenarios of natural development (Z1), economic development (Z2), sustainable development (Z3), arable land preservation development (Z4), and ecological protection development (Z5).
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