Global Hotspots of Conflict Risk between Food Security and Biodiversity Conservation

This work contributes to the Belmont Forum/FACCE-JPI DEVIL project (grant number NE/M021327/1), and AM is supported by a BBSRC EastBio Studentship (http://www.eastscotbiodtp.ac.uk/). The Conservation Biology Institute are acknowledged for provision of data as well as BirdLife International, IUCN, NatureServe, and USGS for their contribution of the species range map data used in producing data available from the Biodiversity Mapping website (http://biodiversitymapping.org).Peer reviewedPublisher PD

Measuring and monitoring soil carbon sequestration

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Impact of climate aggregation over different scales on regional NPP modelling

In spatial modelling of Net Primary Productivity (NPP), predictability and uncertainty depends on the availability of input data, as well as on the scale of the available data sets. Therefore, the study presented here quantifies the impact of aggregation effect of input data of different scales for a regional modelling approach using 5 different resolutions. As part of this study, the presentation focuses on the impact of the climate aggregation on the simulation of NPP. The effect is investigated on the model results of 11 different crop and biogeochemical models simulating NPP for wheat and maize for the area of the German state of North Rhine-Westphalia. The focus of the study is on the impact of drought effects across the scales considered. The data are analysed on annual time steps we followed two approaches to investigate the impact of water limitation on primary production: First, two model runs, one considers water limitation and the other one ignores the impacts of water limitation on plant production second, an external definition of dry conditions by a drought index, only considering climate data, enables a separation of grid-cells and years with drought impacts, independent of the model internal functions. The results show hardly any difference between the overall average NPP across the scales, but some variability for the impact of extreme weather conditions on the simulated NPP

Intracarotid administration of human bone marrow mononuclear cells in rat photothrombotic ischemia

Background: Increasing evidence suggests that cell therapy improves functional recovery in experimental models of stroke and myocardial infarction. So far only small pilot trials tested the effects of cell therapy in stroke patients, whereas large clinical trials were conducted in patients with ischemic heart disease. To investigate the therapeutic benefit of cell therapy to improve the recovery after stroke, we determined the efficacy of bone marrow derived mononuclear cells, which were shown to improve the recovery in experimental and clinical acute myocardial infarction studies, in a rat stroke model. Methods: Adult male Wistar rats were randomly assigned to receive either five million human bone marrow mononuclear cells (hBMC) or placebo intraarterially 3 days after photothrombotic ischemia. For immunosuppression the animals received daily injections of cyclosporine throughout the experiment, commencing 24 hours before the cell transplantation. A battery of behavioural tests was performed before and up to 4 weeks after ischemia. Results: Body temperature and body weight revealed no difference between groups. Neurological deficits measured by the Rotarod test, the adhesive-removal test and the cylinder test were not improved by hBMC transplantation compared to placebo. Conclusions: This study demonstrates that hBMC do not improve functional recovery when transplanted intraaterially 3 days after the onset of focal cerebral ischemia. A possible reason for the failed neurological improvement after cell therapy might be the delayed treatment initiation compared to other experimental stroke studies that showed efficacy of bone marrow mononuclear cells

Soil organic carbon stocks potentially at risk of decline with organic farming expansion

Funding Information: We thank R. Girault and Y. Behara for help regarding carbon losses in manure management process; D. Angers, E. Ceschia and C. Poeplau for inputs on how to consider cover crops. This work was funded by ADEME, Bordeaux Sciences Agro (Univ. Bordeaux), INRAE’s committee on organic farming (MP Métabio) and Aberdeen University. M.K. and P.S. acknowledge support from the CIRCASA project, which received funding from the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement no 774378. Publisher Copyright: © 2023, The Author(s), under exclusive licence to Springer Nature Limited.Peer reviewedPostprin

Measurement of N2O emissions over the whole year is necessary for estimating reliable emission factors

We thank Dali Nayak, Thomas Cornulier and Arindam Datta for data collection and helpful discussions during the development of this analysis. This work was supported by the National Natural Science Foundation of China (41671464). P.S. and M.A. acknowledge support from the UK-China Virtual Joint Centre, N-Circle (grant number BB/N013484/1). Z.S. appreciates the financial support from the China Scholarship Council (201706010406) to support her study in the UKPeer reviewedPostprin

Modelling methane emissions and grain yields for a double-rice system in Southern China with DAYCENT and DNDC models

Acknowledgements This work contributed to the following projects: EU Horizon 2020 programme (SuperG) and The Scientific and Technological Innovation Special Fund Project of Carbon Peak and Carbon Neutrality in Jiangsu Province (No. BE2022311). The first author (Yang Guo) gratefully acknowledges financial support from China Scholarship Council (CSC).Peer reviewedPublisher PD

Impact of droughts on the carbon cycle in European vegetation : a probabilistic risk analysis using six vegetation models

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Environmental change impacts on the C- and N-cycle of European forests: a model comparison study [Discussion paper]

Forests are important components of the greenhouse gas balance of Europe. There is considerable uncertainty about how predicted changes to climate and nitrogen deposition will perturb the carbon and nitrogen cycles of European forests and thereby alter forest growth, carbon sequestration and N2O emission. The present study aimed to quantify the carbon and nitrogen balance, including the exchange of greenhouse gases, of European forests over the period 2010–2030, with a particular emphasis on the spatial variability of change. The analysis was carried out for two tree species: European beech and Scots pine. For this purpose, four different dynamic models were used: BASFOR, DailyDayCent, INTEGRATOR and Landscape-DNDC. These models span a range from semi-empirical to complex mechanistic. Comparison of these models allowed assessment of the extent to which model predictions depended on differences in model inputs and structure. We found a European average carbon sink of 0.160 ± 0.020 kgC m−2 yr−1 (pine) and 0.138 ± 0.062 kgC m−2 yr−1 (beech) and N2O source of 0.285 ± 0.125 kgN ha−1 yr−1 (pine) and 0.575 ± 0.105 kgN ha−1 yr−1 (beech). The European average greenhouse gas potential of the carbon source was 18 (pine) and 8 (beech) times that of the N2O source. Carbon sequestration was larger in the trees than in the soil. Carbon sequestration and forest growth were largest in central Europe and lowest in northern Sweden and Finland, N. Poland and S. Spain. No single driver was found to dominate change across Europe. Forests were found to be most sensitive to change in environmental drivers where the drivers were limiting growth, where changes were particularly large or where changes acted in concert. The models disagreed as to which environmental changes were most significant for the geographical variation in forest growth and as to which tree species showed the largest rate of carbon sequestration. Pine and beech forests were found to have differing sensitivities to environmental change, in particular the response to changes in nitrogen and precipitation, with beech forest more vulnerable to drought. There was considerable uncertainty about the geographical location of N2O emissions. Two of the models BASFOR and LandscapeDNDC had largest emissions in central Europe where nitrogen deposition and soil nitrogen were largest whereas the two other models identified different regions with large N2O emission. N2O emissions were found to be larger from beech than pine forests and were found to be particularly sensitive to forest growth

Global cropland nitrous oxide emissions in fallow period are comparable to growing-season emissions

This study was supported by the Youth Innovation Program of Chinese Academy of Agricultural Sciences (No. Y2023QC02), the National Natural Science Foundation of China (42225102, 42301059, 32172129, 42207378), the National Key Research and Development Program of China (2021YFD1700801, 2022YFD2300400), Technology Research System-Green manure (Grant No. CARS-22-G-16).Peer reviewedPostprin