Institution
Potsdam Institute for Climate Impact Research
Facility•Potsdam, Germany•
About: Potsdam Institute for Climate Impact Research is a facility organization based out in Potsdam, Germany. It is known for research contribution in the topics: Climate change & Global warming. The organization has 1519 authors who have published 5098 publications receiving 367023 citations.
Papers published on a yearly basis
Papers
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University of Aberdeen1, World Economic Forum2, University of Sheffield3, Humboldt University of Berlin4, Pacific Northwest National Laboratory5, The Nature Conservancy6, Ithaka Harbors7, International Institute for Applied Systems Analysis8, University of Leeds9, Potsdam Institute for Climate Impact Research10, University of Newcastle11
TL;DR: In this article, the authors assess the opportunities and risks associated with these options through the lens of their potential impacts on ecosystem services (Nature's Contributions to People; NCPs) and the United Nations Sustainable Development Goals (SDGs).
Abstract: Land-management options for greenhouse gas removal (GGR) include afforestation or reforestation (AR), wetland restoration, soil carbon sequestration (SCS), biochar, terrestrial enhanced weathering (TEW), and bioenergy with carbon capture and storage (BECCS). We assess the opportunities and risks associated with these options through the lens of their potential impacts on ecosystem services (Nature's Contributions to People; NCPs) and the United Nations Sustainable Development Goals (SDGs). We find that all land-based GGR options contribute positively to at least some NCPs and SDGs. Wetland restoration and SCS almost exclusively deliver positive impacts. A few GGR options, such as afforestation, BECCS, and biochar potentially impact negatively some NCPs and SDGs, particularly when implemented at scale, largely through competition for land. For those that present risks or are least understood, more research is required, and demonstration projects need to proceed with caution. For options that present low risks and provide cobenefits, implementation can proceed more rapidly following no-regrets principles.
161 citations
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University of Tasmania1, Hobart Corporation2, Dalhousie University3, Potsdam Institute for Climate Impact Research4, Université du Québec à Montréal5, University of British Columbia6, University of Chicago7, Simon Fraser University8, National Oceanic and Atmospheric Administration9, Autonomous University of Barcelona10, United Nations Environment Programme11, Centre for Environment, Fisheries and Aquaculture Science12, University of East Anglia13
TL;DR: It is demonstrated that some countries are likely to face double jeopardies in both fisheries and agriculture sectors under climate change, and will need to directly address the trade-offs among Sustainable Development Goals, such as halting biodiversity loss and reducing poverty.
Abstract: Fisheries and aquaculture make a crucial contribution to global food security, nutrition and livelihoods. However, the UN Sustainable Development Goals separate marine and terrestrial food production sectors and ecosystems. To sustainably meet increasing global demands for fish, the interlinkages among goals within and across fisheries, aquaculture and agriculture sectors must be recognized and addressed along with their changing nature. Here, we assess and highlight development challenges for fisheries-dependent countries based on analyses of interactions and trade-offs between goals focusing on food, biodiversity and climate change. We demonstrate that some countries are likely to face double jeopardies in both fisheries and agriculture sectors under climate change. The strategies to mitigate these risks will be context-dependent, and will need to directly address the trade-offs among Sustainable Development Goals, such as halting biodiversity loss and reducing poverty. Countries with low adaptive capacity but increasing demand for food require greater support and capacity building to transition towards reconciling trade-offs. Necessary actions are context-dependent and include effective governance, improved management and conservation, maximizing societal and environmental benefits from trade, increased equitability of distribution and innovation in food production, including continued development of low input and low impact aquaculture.
160 citations
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TL;DR: In this article, the authors calculate local forest transpiration and the subsequent trajectories of transpired water through the atmosphere in high spatial and temporal detail, and estimate that one-third of Amazon rainfall originates within its own basin, of which two-thirds has been transpired.
Abstract: Tree transpiration in the Amazon may enhance rainfall for downwind forests. Until now it has been unclear how this cascading effect plays out across the basin. Here, we calculate local forest transpiration and the subsequent trajectories of transpired water through the atmosphere in high spatial and temporal detail. We estimate that one-third of Amazon rainfall originates within its own basin, of which two-thirds has been transpired. Forests in the southern half of the basin contribute most to the stability of other forests in this way, whereas forests in the south-western Amazon are particularly dependent on transpired-water subsidies. These forest-rainfall cascades buffer the effects of drought and reveal a mechanism by which deforestation can compromise the resilience of the Amazon forest system in the face of future climatic extremes.
160 citations
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TL;DR: In this article, the attitudes of residents, landowners, and managers on both sides of the debate were investigated and the evidence was strong that there are powerful emotional and cultural drivers that divide nature conservationists and local landusers and residents into two camps, maintained by stereotyping and group bonding.
160 citations
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Max Planck Society1, Aix-Marseille University2, Université Paris-Saclay3, Nanjing University4, University of Maryland, College Park5, ETH Zurich6, Complutense University of Madrid7, Université catholique de Louvain8, University of Bern9, University of Lausanne10, University of Paris11, Utrecht University12, Netherlands Environmental Assessment Agency13, Goddard Institute for Space Studies14, University of Giessen15, Chinese Academy of Sciences16, University of Leeds17, Potsdam Institute for Climate Impact Research18, Stockholm University19, Lund University20, National Center for Atmospheric Research21, University of Tasmania22, University of Edinburgh23, Paul Scherrer Institute24, Oeschger Centre for Climate Change Research25, Lamont–Doherty Earth Observatory26, Leibniz Institute of Marine Sciences27, University of Oulu28, Ca' Foscari University of Venice29
TL;DR: In this article, the authors describe the motivation and experimental set-ups for the PMIP4-CMIP6 past-1000 simulations, and discuss the forcing agents orbital, solar, volcanic, and land use/land cover changes, and variations in greenhouse gas concentrations.
Abstract: The pre-industrial millennium is among the periods selected by the Paleoclimate Model Intercomparison Project (PMIP) for experiments contributing to the sixth phase of the Coupled Model Intercomparison Project (CMIP6) and the fourth phase of the PMIP (PMIP4). The past1000 transient simulations serve to investigate the response to (mainly) natural forcing under background conditions not too different from today, and to discriminate between forced and internally generated variability on interannual to centennial timescales. This paper describes the motivation and the experimental set-ups for the PMIP4-CMIP6 past1000 simulations, and discusses the forcing agents orbital, solar, volcanic, and land use/land cover changes, and variations in greenhouse gas concentrations. The past1000 simulations covering the pre-industrial millennium from 850 Common Era (CE) to 1849 CE have to be complemented by historical simulations (1850 to 2014 CE) following the CMIP6 protocol. The external forcings for the past1000 experiments have been adapted to provide a seamless transition across these time periods. Protocols for the past1000 simulations have been divided into three tiers. A default forcing data set has been defined for the Tier 1 (the CMIP6 past1000) experiment. However, the PMIP community has maintained the flexibility to conduct coordinated sensitivity experiments to explore uncertainty in forcing reconstructions as well as parameter uncertainty in dedicated Tier 2 simulations. Additional experiments (Tier 3) are defined to foster collaborative model experiments focusing on the early instrumental period and to extend the temporal range and the scope of the simulations. This paper outlines current and future research foci and common analyses for collaborative work between the PMIP and the observational communities (reconstructions, instrumental data).
160 citations
Authors
Showing all 1589 results
Name | H-index | Papers | Citations |
---|---|---|---|
Carl Folke | 133 | 360 | 125990 |
Adam Drewnowski | 106 | 486 | 41107 |
Jürgen Kurths | 105 | 1038 | 62179 |
Markus Reichstein | 103 | 386 | 53385 |
Stephen Polasky | 99 | 354 | 59148 |
Sandy P. Harrison | 96 | 329 | 34004 |
Owen B. Toon | 94 | 424 | 32237 |
Stephen Sitch | 94 | 262 | 52236 |
Yong Xu | 88 | 1391 | 39268 |
Dieter Neher | 85 | 424 | 26225 |
Johan Rockström | 85 | 236 | 57842 |
Jonathan A. Foley | 85 | 144 | 70710 |
Robert J. Scholes | 84 | 253 | 37019 |
Christoph Müller | 82 | 457 | 27274 |
Robert J. Nicholls | 79 | 515 | 35729 |