957 resultados para integrated assessment


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The tiniest Union territory of India, Lakshadweep, is an archipelago, with an area of 32 Sq. km. consisting of 12 atolls, three reefs and five submerged banks, lies between 8° and 12°30'N latitudes and 71° and 74" E longitudes. It is one of the most important and critical territories of India from economic and defence point of view. Specialised environment having typical geological set up, Lakshadweep is ecologically sensitive to even slight climatic or anthropogenic interference. Pollution of coastal seas, over exploitation and contamination of the fresh water sources are thus become great concerns to the existence of the island. Typical geological set up and interference cause threat to the ecology of the fragile environment and resources of the island as well as its resources. Marine pollution and ground water contamination are concerns in this regard. Even though attentions were made to assess the physico—chemical and bacteriological status of the marine and groundwater systems separately, an integrated approach has not been evolved. The present study with its broad objectives is attempted for an integrated assessment of microbiological, physicochemical and biological characteristics of the surrounding seawater and microbiological and physico—chemical characteristics of the ground water in Kavaratti island. The entire study has been organised in 4 chapters

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Erfolgskontrollen für Agrarumweltprogramme bezogen sich bisher meistens auf einzelne Flächen oder auf programmbezogene, großräumige Evaluationen. Es wurde jedoch kaum untersucht, wie sich die Maßnahmen auf die Entwicklung einzelner Naturräume auswirken. Auch gab es keine Studien, welche die Wechselwirkungen zwischen den Beweggründen der Landnutzer auf der ei-nen- sowie Landnutzung und Vegetation auf der anderen Seite interpretierten. Die Dissertation Wirkungen von Extensivierungs- und Vertragsnaturschutzprogrammen auf die Entwick-lung einer »gerade noch aktuellen Agrarlandschaft« hat diese Lücke geschlossen. Sie erklärt, welche Bedeutung die hessischen Programme HELP und HEKUL für den hohen Anteil naturschutzfachlich wertvollen Grünlands im Rommeroder Hügel-land westlich des Meißner haben. Untersuchungsgegenstand waren die Grünlandvegetation und die landwirtschaftlichen Betriebe mit ihren Menschen und deren Beweggründen. Diese Inhalte er-forderten eine Vorgehensweise, die sowohl sozialwissenschaftliche als auch naturwissenschaftliche Methoden einbindet, um Bezüge zwischen Betrieben und Grünlandvegetation zu er-kennen. Umfangreiche pflanzensoziologische Untersuchungen und Interviews der Betriebsleiter waren Grundlage für eine Schlagdatenbank und weitergehende Auswertungen. Die Interpretation vegetationskundlicher Erhebungen im Kontext betrieblicher Entscheidungen und Beweggründe erforderte es, althergebrachte Ansätze in neuer Form zu verknüpfen. Die Bewertung der Programmwirkungen stützte sich auf die Schlagdatenbank und auf vier Szena-rien zur zukünftigen Gebietsentwicklung bei unterschiedlichen Programmfortschreibungen. Zur Darstellung von Erhebungen und Ergebnissen entstand eine Vielzahl thematischer Karten. Der überdurchschnittlich hohe Anteil naturschutzfachlich bedeutsamer Grünlandtypen auf den Programmflächen und die Interpretation der Szenarien belegten eine hohe Wirksamkeit von HELP und HEKUL im Gebiet. Nicht nur auf den Vertragsnaturschutzflächen des HELP, sondern auch auf dem HEKUL-Grünland sind naturschutzfachlich bedeutende Vegetationstypen überproportional vertreten. Die vier Szenarien ließen erkennen, dass eine Beschränkung des HELP auf Schutzgebiete, eine Abschaffung der HEKUL-Grünlandextensivierung oder gar eine ersatzlose Strei-chung beider Programme zu erheblichen Verschlechterungen der naturschutzfachlichen Situation führen würde. Gleichzeitig war festzustellen, dass es ohne die landwirtschaftlich schwierigen natur-räumlichen Verhältnisse sowie eine eher großteilige Agrarstruktur mit überdurchschnittlich flächen-starken und wirtschaftlich stabilen Vollerwerbsbetrieben keine so deutlichen Programmwirkungen gegeben hätte. Auch die Tatsache, dass viele Landwirte eine intensive Landwirtschaft aus innerer Überzeugung ablehnen und mit einer erheblich geringeren Stickstoffintensität wirtschaften als es HEKUL verlangt, wirkte verstärkend. Die große Bedeutung individueller Beweggründe einzelner Betriebsleiter wurde auch in den engen Beziehungen einzelner Grünland-Pflanzengesellschaften zu bestimmten Betriebstypen und sogar einzelnen Höfen sichtbar, deren Beschreibung und Interpretation wichtige Erkenntnisse zu den so-zioökonomischen Voraussetzungen verschiedener Vegetationstypen lieferte. Für die zukünftige Entwicklung der hessischen Agrarumweltförderung empfiehlt die Dissertation eine Einführung und bevorzugte Anwendung ergebnisorientierter Honorierungsverfahren, eine bessere Berücksichtigung des gering gedüngten Grünlands über eine differenzierte Förderung sehr extensiver Düngeregime, eine stärkere Modularisierung des Gesamtprogramms und eine Durchführung aller Maßnahmen im Vertragsverfahren. Die betriebszweigbezogene Grünlandextensivierung sollte zukünftig in Kulissen angeboten werden, in denen ein verstärktes Wechseln von Betrieben in die Mindestpflege nach DirektZahlVerpflV zu erwarten ist.

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Introducción: La hemorragia digestiva (HVDA) es la principal causa de descompensación en pacientes con cirrosis. Caracterizar el estado ácido-base de estos pacientes sería útil para reflejar la severidad del sangrado e identificar pacientes con alto riesgo de complicación. Objetivo: Describir el estado ácido-base de los pacientes que consultaron a urgencias con cirrosis descompensada por HVDA y posteriormente fueron manejados en la unidad de cuidado intensivo (UCI) o fallecieron. Métodos: Se realizó el análisis del estado ácido-base a 10 pacientes con estas características, utilizando tres métodos distintos. Resultados: El perfil ácido-base encontrado fue: acidosis metabólica por iones no medidos, acidosis láctica, alcalosis por hipoalbuminemia y anión gap elevado en la mayoría de pacientes. Conclusiones: La teoría de Henderson-Hasselbach no fue suficiente para identificar pacientes con alto riesgo, debería implementarse concomitantemente el análisis anión gap, base déficit y el método físico–químico, para entender los fenómenos acido base de estos pacientes.

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A favoured method of assimilating information from state-of-the-art climate models into integrated assessment models of climate impacts is to use the transient climate response (TCR) of the climate models as an input, sometimes accompanied by a pattern matching approach to provide spatial information. More recent approaches to the problem use TCR with another independent piece of climate model output: the land-sea surface warming ratio (φ). In this paper we show why the use of φ in addition to TCR has such utility. Multiple linear regressions of surface temperature change onto TCR and φ in 22 climate models from the CMIP3 multi-model database show that the inclusion of φ explains a much greater fraction of the inter-model variance than using TCR alone. The improvement is particularly pronounced in North America and Eurasia in the boreal summer season, and in the Amazon all year round. The use of φ as the second metric is beneficial for three reasons: firstly it is uncorrelated with TCR in state-of-the-art climate models and can therefore be considered as an independent metric; secondly, because of its projected time-invariance, the magnitude of φ is better constrained than TCR in the immediate future; thirdly, the use of two variables is much simpler than approaches such as pattern scaling from climate models. Finally we show how using the latest estimates of φ from climate models with a mean value of 1.6—as opposed to previously reported values of 1.4—can significantly increase the mean time-integrated discounted damage projections in a state-of-the-art integrated assessment model by about 15 %. When compared to damages calculated without the inclusion of the land-sea warming ratio, this figure rises to 65 %, equivalent to almost 200 trillion dollars over 200 years.

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We utilize energy budget diagnostics from the Coupled Model Intercomparison Project phase 5 (CMIP5) to evaluate the models' climate forcing since preindustrial times employing an established regression technique. The climate forcing evaluated this way, termed the adjusted forcing (AF), includes a rapid adjustment term associated with cloud changes and other tropospheric and land-surface changes. We estimate a 2010 total anthropogenic and natural AF from CMIP5 models of 1.9 ± 0.9 W m−2 (5–95% range). The projected AF of the Representative Concentration Pathway simulations are lower than their expected radiative forcing (RF) in 2095 but agree well with efficacy weighted forcings from integrated assessment models. The smaller AF, compared to RF, is likely due to cloud adjustment. Multimodel time series of temperature change and AF from 1850 to 2100 have large intermodel spreads throughout the period. The intermodel spread of temperature change is principally driven by forcing differences in the present day and climate feedback differences in 2095, although forcing differences are still important for model spread at 2095. We find no significant relationship between the equilibrium climate sensitivity (ECS) of a model and its 2003 AF, in contrast to that found in older models where higher ECS models generally had less forcing. Given the large present-day model spread, there is no indication of any tendency by modelling groups to adjust their aerosol forcing in order to produce observed trends. Instead, some CMIP5 models have a relatively large positive forcing and overestimate the observed temperature change.

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Massive economic and population growth, and urbanization are expected to lead to a tripling of anthropogenic emissions in southern West Africa (SWA) between 2000 and 2030. However, the impacts of this on human health, ecosystems, food security, and the regional climate are largely unknown. An integrated assessment is challenging due to (a) a superposition of regional effects with global climate change, (b) a strong dependence on the variable West African monsoon, (c) incomplete scientific understanding of interactions between emissions, clouds, radiation, precipitation, and regional circulations, and (d) a lack of observations. This article provides an overview of the DACCIWA (Dynamics-Aerosol-Chemistry-Cloud Interactions in West Africa) project. DACCIWA will conduct extensive fieldwork in SWA to collect high-quality observations, spanning the entire process chain from surface-based natural and anthropogenic emissions to impacts on health, ecosystems, and climate. Combining the resulting benchmark dataset with a wide range of modeling activities will allow (a) assessment of relevant physical, chemical, and biological processes, (b) improvement of the monitoring of climate and atmospheric composition from space, and (c) development of the next generation of weather and climate models capable of representing coupled cloud-aerosol interactions. The latter will ultimately contribute to reduce uncertainties in climate predictions. DACCIWA collaborates closely with operational centers, international programs, policy-makers, and users to actively guide sustainable future planning for West Africa. It is hoped that some of DACCIWA’s scientific findings and technical developments will be applicable to other monsoon regions.

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This paper presents a summary of the work done within the European Union's Seventh Framework Programme project ECLIPSE (Evaluating the Climate and Air Quality Impacts of Short-Lived Pollutants). ECLIPSE had a unique systematic concept for designing a realistic and effective mitigation scenario for short-lived climate pollutants (SLCPs; methane, aerosols and ozone, and their precursor species) and quantifying its climate and air quality impacts, and this paper presents the results in the context of this overarching strategy. The first step in ECLIPSE was to create a new emission inventory based on current legislation (CLE) for the recent past and until 2050. Substantial progress compared to previous work was made by including previously unaccounted types of sources such as flaring of gas associated with oil production, and wick lamps. These emission data were used for present-day reference simulations with four advanced Earth system models (ESMs) and six chemistry transport models (CTMs). The model simulations were compared with a variety of ground-based and satellite observational data sets from Asia, Europe and the Arctic. It was found that the models still underestimate the measured seasonality of aerosols in the Arctic but to a lesser extent than in previous studies. Problems likely related to the emissions were identified for northern Russia and India, in particular. To estimate the climate impacts of SLCPs, ECLIPSE followed two paths of research: the first path calculated radiative forcing (RF) values for a large matrix of SLCP species emissions, for different seasons and regions independently. Based on these RF calculations, the Global Temperature change Potential metric for a time horizon of 20 years (GTP20) was calculated for each SLCP emission type. This climate metric was then used in an integrated assessment model to identify all emission mitigation measures with a beneficial air quality and short-term (20-year) climate impact. These measures together defined a SLCP mitigation (MIT) scenario. Compared to CLE, the MIT scenario would reduce global methane (CH4) and black carbon (BC) emissions by about 50 and 80 %, respectively. For CH4, measures on shale gas production, waste management and coal mines were most important. For non-CH4 SLCPs, elimination of high-emitting vehicles and wick lamps, as well as reducing emissions from gas flaring, coal and biomass stoves, agricultural waste, solvents and diesel engines were most important. These measures lead to large reductions in calculated surface concentrations of ozone and particulate matter. We estimate that in the EU, the loss of statistical life expectancy due to air pollution was 7.5 months in 2010, which will be reduced to 5.2 months by 2030 in the CLE scenario. The MIT scenario would reduce this value by another 0.9 to 4.3 months. Substantially larger reductions due to the mitigation are found for China (1.8 months) and India (11–12 months). The climate metrics cannot fully quantify the climate response. Therefore, a second research path was taken. Transient climate ensemble simulations with the four ESMs were run for the CLE and MIT scenarios, to determine the climate impacts of the mitigation. In these simulations, the CLE scenario resulted in a surface temperature increase of 0.70 ± 0.14 K between the years 2006 and 2050. For the decade 2041–2050, the warming was reduced by 0.22 ± 0.07 K in the MIT scenario, and this result was in almost exact agreement with the response calculated based on the emission metrics (reduced warming of 0.22 ± 0.09 K). The metrics calculations suggest that non-CH4 SLCPs contribute ~ 22 % to this response and CH4 78 %. This could not be fully confirmed by the transient simulations, which attributed about 90 % of the temperature response to CH4 reductions. Attribution of the observed temperature response to non-CH4 SLCP emission reductions and BC specifically is hampered in the transient simulations by small forcing and co-emitted species of the emission basket chosen. Nevertheless, an important conclusion is that our mitigation basket as a whole would lead to clear benefits for both air quality and climate. The climate response from BC reductions in our study is smaller than reported previously, possibly because our study is one of the first to use fully coupled climate models, where unforced variability and sea ice responses cause relatively strong temperature fluctuations that may counteract (and, thus, mask) the impacts of small emission reductions. The temperature responses to the mitigation were generally stronger over the continents than over the oceans, and with a warming reduction of 0.44 K (0.39–0.49) K the largest over the Arctic. Our calculations suggest particularly beneficial climate responses in southern Europe, where surface warming was reduced by about 0.3 K and precipitation rates were increased by about 15 (6–21) mm yr−1 (more than 4 % of total precipitation) from spring to autumn. Thus, the mitigation could help to alleviate expected future drought and water shortages in the Mediterranean area. We also report other important results of the ECLIPSE project.

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GIS (Geographical Information Systems) based decision support tools will be useful in helping guide regions to sustainability. These tools need to be simple but effective at identifying, for regional managers, areas most in need of initiatives to progress sustainability. Multiple criteria analysis (MCA) has been used as a decision support tool for a wide number of applications, as it provides a systematic framework for evaluating various options. It has the potential to be used as a tool for sustainability assessment, because it can bring together the sustainability criteria from all pillars, social, economic and environmental, to give an integrated assessment of sustainability. Furthermore, the use of GIS and MCA together is an emerging addition to conducting sustainability assessments. This paper further develops a sustainability assessment framework developed for the Glenelg Hopkins Catchment Management Authority region of Victoria, Australia by providing a GIS-based decision support system for regional agencies. This tool uses multiple criteria analysis in a GIS framework to assess the sustainability of sub-catchments in the Glenelg Hopkins Catchment. The multiple criteria analysis based on economic, social and environmental indicators developed in previous stages of this project was used as the basis to build a model in ArcGIS1. The GIS-based multiple criteria analysis, called An Index of Regional Sustainability Spatial Decision Support System (AIRS SDSS),
produced maps showing sub-catchment sustainability, and environmental, social and economic condition. As a result, this tool is able to highlight those sub-catchments most in need of assistance with achieving sustainability. It will also be a valuable tool for evaluation and monitoring of strategies for sustainability. This paper shows the usefulness of GIS-based multiple criteria analysis to enhance the monitoring and evaluation of sustainability at the regional to sub-catchment scale.

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 An understanding of risks to biodiversity is needed for planning action to slow current rates of decline and secure ecosystem services for future human use. Although the IUCN Red List criteria provide an effective assessment protocol for species, a standard global assessment of risks to higher levels of biodiversity is currently limited. In 2008, IUCN initiated development of risk assessment criteria to support a global Red List of ecosystems. We present a new conceptual model for ecosystem risk assessment founded on a synthesis of relevant ecological theories. To support the model, we review key elements of ecosystem definition and introduce the concept of ecosystem collapse, an analogue of species extinction. The model identifies four distributional and functional symptoms of ecosystem risk as a basis for assessment criteria: a) rates of decline in ecosystem distribution; b) restricted distributions with continuing declines or threats; c) rates of environmental (abiotic) degradation; and d) rates of disruption to biotic processes. A fifth criterion, e) quantitative estimates of the risk of ecosystem collapse, enables integrated assessment of multiple processes and provides a conceptual anchor for the other criteria. We present the theoretical rationale for the construction and interpretation of each criterion. The assessment protocol and threat categories mirror those of the IUCN Red List of species. A trial of the protocol on terrestrial, subterranean, freshwater and marine ecosystems from around the world shows that its concepts are workable and its outcomes are robust, that required data are available, and that results are consistent with assessments carried out by local experts and authorities. The new protocol provides a consistent, practical and theoretically grounded framework for establishing a systematic Red List of the world’s ecosystems. This will complement the Red List of species and strengthen global capacity to report on and monitor the status of biodiversity.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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In this study, an attempt is made to assess the economic impact of climate change on nine countries in the Caribbean basin: Aruba, Barbados, Dominican Republic, Guyana, Jamaica, Montserrat, Netherlands Antilles, Saint Lucia and Trinidad and Tobago. A methodological approach proposed by Dell et al. (2008) is used in preference to the traditional Integrated Assessment Models. The evolution of climate variables and of the macroeconomy of each of the nine countries over the period 1970 to 2006 is analyzed and preliminary evidence of a relationship between the macroeconomy and climate change is examined. The preliminary investigation uses correlation, Granger causality and simple regression methods. The preliminary evidence suggests that there is some relationship but that the direction of causation between the macroeconomy and the climate variables is indeterminate. The main analysis involves the use of a panel data (random effects) model which fits the historical data (1971-2007) very well. Projections of economic growth from 2008 to 2099 are done on the basis of four climate scenarios: the International Panel on Climate Change A2, B2, a hybrid A2B2 (the mid-point of A2 and B2), and a ‘baseline’ or ‘Business as Usual’ scenario, which assumes that the growth rate in the period 2008-2099 is the same as the average growth rate over the period 1971-2007. The best average growth rate is under the B2 scenario, followed by the hybrid A2B2 and A2 scenarios, in that order. Although negative growth rates eventually dominate, they are largely positive for a long time. The projections all display long-run secular decline in growth rates notwithstanding short-run upward trends, including some very sharp ones, moving eventually from declining positive rates to negative ones. The costs associated with the various scenarios are all quite high, rising to as high as a present value (2007 base year) of US$14 billion in 2099 (constant 1990 prices) for the B2 scenario and US$21 billion for the BAU scenario. These costs were calculated on the basis of very conservative estimates of the cost of environmental degradation. Mitigation and adaptation costs are likely to be quite high though a small fraction of projected total investment costs.

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A tarefa de projetar um sistema de EAD (SEAD) não é fácil, devido ao número de componentes (estudantes, corpo docente, administração, infra-estrutura, etc.), a complexidade do processo, as diferentes visões e abordagens quanto à sua eficácia, os valores em disputa, os interesses em jogo e as decisões urgentes. O Estado do Pará possui experiências de sucesso nesta modalidade em todos os níveis de ensino. Porém, ainda existem dificuldades, obstáculos, problemas e incertezas a serem enfrentados. Neste sentido, o objetivo da pesquisa foi criar um modelo analítico para identificar e interpretar as incertezas presentes na utilização da EAD pelo sistema educacional do Pará e detectar as atitudes dos atores envolvidos e interessados no processo, contribuindo com critérios e estratégias que podem ser utilizadas para decidir, sob condições de incerteza, sobre a implementação de SEADs e sua operacionalização. Para isso a pesquisa tomou como base a metodologia da Avaliação Integrada (AI), na perspectiva pluralista, sendo realizada em vários momentos, os quais incluiram: ampla pesquisa bibliográfica; sondagem do encaminhamento da EAD no Pará; o uso do método de inquerito delphi para instigar o consenso sobre as incertezas mais relevantes; utilização da Teoria Cultural para subsidiar a identificação da orientação cultural dos respondentes com vistas a revelar as diferentes posturas dos participantes com relação à EAD; o emprego da técnica estatística análise de cluster para agrupar as incertezas e os individuos por similaridades; e uma análise integrada dos resultados advindos das diversas etapas. O nível de consenso foi baixo, resultando em oito incertezas consideradas relevantes para o processo. Destas, 50% são de dimensão metodológica, expressando que durante um processo de inovação a metodologia se destaca por representar mudanças de paradigmas já estabelecidos. O agrupamento de incertezas, por sua vez, revelou oito grandes conjuntos de controvérsias que pressionam de maneiras diferentes o processo de tomada de decisão e operacionalização de sistemas de EAD. Pelas características de cada conjunto, percebe-se que os problemas que perpassam a EAD no Pará fazem parte do contexto atual e contemplam preocupações referentes a pontos que norteiam o processo, a incertezas de caráter geral, ao compromisso político, aos componentes que indicam a qualidade e o reconhecimento da EAD, aos aspectos metodológicos e técnicos, à estabilidade da modalidade, ao acesso e uso das novas tecnologias de informação e comunicação e às condições de infra-estrutura. Durante a concepção de SEADs a orientação cultural influencia o enfoque a ser adotado pelos dirigentes, podendo estar mais direcionado para o controle (hierárquicos), para o respeito ao aluno (igualitários), para a satisfação do aluno (individualistas) e para a visão de desconfiança (fatalistas). A integração de todos os resultados possibilitou indicar critérios de decisão e estratégias para enfrentar as incertezas ou mesmo aprender a conviver com estas. Concluiu-se que o uso da metodologia de AI se mostrou eficaz para o tratamento do problema da EAD no Pará, propiciando uma gestão das incertezas, o que se acredita levar à redução da probabilidade de ocorrência de eventos indesejáveis e/ou inesperados.

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Human population growth and increased industrial activity in recent decades have contributed to a range of environmental problems, including the contamination of groundwater and surface water. In order to help in the management of these resources, water quality indices are used as tools to summarize multiple parameters and express them in the form of a single number. The ability to provide both an integrated assessment of changes in environmental variables, as well as performance tracking, has resulted in such indices being increasingly employed in surface water monitoring programs. The aim of this study was to develop an Index for Public Supply Water Quality (IPS) using a fuzzy inference methodology. Linguistic systems generally provide satisfactory tools for qualitative purposes, enabling the inclusion of descriptive variables with reduced loss of individual information. Validation of the technique was achieved by analysis of measurement data obtained for the Sorocaba River, provided by CETESB. The new procedure proved more rigorous, compared to classical IPS. It could be readily applied in the evaluation of other water bodies, or be adjusted to incorporate additional parameters also considered important for the assessment of water quality.

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Climate targets are designed to inform policies that would limit the magnitude and impacts of climate change caused by anthropogenic emissions of greenhouse gases and other substances. The target that is currently recognized by most world governments1 places a limit of two degrees Celsius on the global mean warming since preindustrial times. This would require large sustained reductions in carbon dioxide emissions during the twenty-first century and beyond2, 3, 4. Such a global temperature target, however, is not sufficient to control many other quantities, such as transient sea level rise5, ocean acidification6, 7 and net primary production on land8, 9. Here, using an Earth system model of intermediate complexity (EMIC) in an observation-informed Bayesian approach, we show that allowable carbon emissions are substantially reduced when multiple climate targets are set. We take into account uncertainties in physical and carbon cycle model parameters, radiative efficiencies10, climate sensitivity11 and carbon cycle feedbacks12, 13 along with a large set of observational constraints. Within this framework, we explore a broad range of economically feasible greenhouse gas scenarios from the integrated assessment community14, 15, 16, 17 to determine the likelihood of meeting a combination of specific global and regional targets under various assumptions. For any given likelihood of meeting a set of such targets, the allowable cumulative emissions are greatly reduced from those inferred from the temperature target alone. Therefore, temperature targets alone are unable to comprehensively limit the risks from anthropogenic emissions.