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1.
Management alternatives to offset climate change effects on Mediterranean fire regimes in NE Spain 总被引：1，自引：0，他引：1
Fire regime is affected by climate and human settlements. In the Mediterranean, the predicted climate change is likely to exacerbate fire prone weather conditions, but the mid- to long-term impact of climate change on fire regime is not easily predictable. A negative feedback via fuel reduction, for instance, might cause a non-linear response of burned area to fire weather. Also, the number of fires escaping initial control could grow dramatically if the fire meteorology is just slightly more severe than what fire brigades are prepared for. Humans can directly influence fire regimes through ignition frequency, fire suppression and land use management. Here we use the fire regime model FIRE LADY to assess the impacts of climate change and local management options on number of fires, burned area, fraction of area burned in large fires and forest area during the twenty-first century in three regions of NE Spain. Our results show that currently fuel-humidity limited regions could suffer a drastic shift of fire regime with an up to 8 fold increase of annual burned area, due to a combination of fuel accumulation and severe fire weather, which would result in a period of unusually large fires. The impact of climate change on fire regime is predicted to be less pronounced in drier areas, with a gradual increase of burned area. Local fire prevention strategies could reduce but not totally offset climate induced changes in fire regimes. According to our model, a combination of restoring the traditional rural mosaic and classical fire prevention would be the most effective strategy, as a lower ignition frequency reduces the number of fires and the creation of agricultural fields in marginal areas reduces their extent. 相似文献
2.
Examining barriers and opportunities for sustainable adaptation to climate change in Interior Alaska
Shannon M. McNeeley 《Climatic change》2012,111(3-4):835-857
Human adaptation to climate change is comprised of “adjustments” in response to (or anticipation of) climatic impacts. Adaptation does not necessarily imply favorable or equitable change, nor does it automatically imply sustainable use of ecosystems. “Sustainable adaptation” in this case implies strategic, collective action to respond to or anticipate harmful climate change to reduce disruption to key resource flows and adverse effects on general well-being. This research examined social-ecological system responses to recent warming trends in the remote northwest region of Interior Alaska using a unique vulnerability and adaptive capacity assessment (VA) approach that integrated indigenous observations and understanding of climate (IC) with western social and natural sciences. The study found that Alaska Native communities that were historically highly mobile and flexible across the landscape for subsistence hunting are increasingly restricted by the institutional rigidity of the regulatory system for wildlife and subsistence management. This has resulted in negative impacts to game harvest access and success threatening food security and community well-being. This suggests that policies limiting the ability of natural resource-dependent societies to be flexible, diversify, or innovate can threaten livelihoods and exacerbate vulnerability. Nevertheless, opportunities for sustainable adaptation exist where wildlife management is adaptive and includes an understanding of and response to climate variability and slow-onset climate change with the human dimensions of subsistence hunting for more effective “in-season” management. 相似文献
3.
We explore the potential to improve understanding of the climate system by directly targeting climate model analyses at specific indicators of climate change impact. Using the temperature suitability of premium winegrape cultivation as a climate impacts indicator, we quantify the inter- and intra-ensemble spread in three climate model ensembles: a physically uniform multi-member ensemble consisting of the RegCM3 high-resolution climate model nested within the NCAR CCSM3 global climate model; the multi-model NARCCAP ensemble consisting of single realizations of multiple high-resolution climate models nested within multiple global climate models; and the multi-model CMIP3 ensemble consisting of realizations of multiple global climate models. We find that the temperature suitability for premium winegrape cultivation is substantially reduced throughout the high-value growing areas of California and the Columbia Valley region (eastern Oregon and Washington) in all three ensembles in response to changes in temperature projected for the mid-twenty first century period. The reductions in temperature suitability are driven primarily by projected increases in mean growing season temperature and occurrence of growing season severe hot days. The intra-ensemble spread in the simulated climate change impact is smaller in the single-model ensemble than in the multi-model ensembles, suggesting that the uncertainty arising from internal climate system variability is smaller than the uncertainty arising from climate model formulation. In addition, the intra-ensemble spread is similar in the NARCCAP nested climate model ensemble and the CMIP3 global climate model ensemble, suggesting that the uncertainty arising from the model formulation of fine-scale climate processes is not smaller than the uncertainty arising from the formulation of large-scale climate processes. Correction of climate model biases substantially reduces both the inter- and intra-ensemble spread in projected climate change impact, particularly for the multi-model ensembles, suggesting that—at least for some systems—the projected impacts of climate change could be more robust than the projected climate change. Extension of this impacts-based analysis to a larger suite of impacts indicators will deepen our understanding of future climate change uncertainty by focusing on the climate phenomena that most directly influence natural and human systems. 相似文献
4.
The response of a grassland ecosystem to climate change is discussed within the context of a theoretical model.An optimization approach,a conditional nonlinear optimal perturbation related to parameter(CNOP-P) approach,was employed in this study.The CNOP-P,a perturbation of moisture index in the theoretical model,represents a nonlinear climate perturbation.Two kinds of linear climate perturbations were also used to study the response of the grassland ecosystem to different types of climate changes.The results show that the extent of grassland ecosystem variation caused by the CNOP-P-type climate change is greater than that caused by the two linear types of climate change.In addition,the grassland ecosystem affected by the CNOP-P-type climate change evolved into a desert ecosystem,and the two linear types of climate changes failed within a specific amplitude range when the moisture index recovered to its reference state.Therefore,the grassland ecosystem response to climate change was nonlinear.This study yielded similar results for a desert ecosystem seeded with both living and wilted biomass litter.The quantitative analysis performed in this study also accounted for the role of soil moisture in the root zone and the shading effect of wilted biomass on the grassland ecosystem through nonlinear interactions between soil and vegetation.The results of this study imply that the CNOP-P approach is a potentially effective tool for assessing the impact of nonlinear climate change on grassland ecosystems. 相似文献
5.
Human activities have altered the distribution and quality of terrestrial ecosystems. Future demands for goods and services from terrestrial ecosystems will occur in a world experiencing human-induced climate change. In this study, we characterize the range in response of unmanaged ecosystems in the conterminous U.S. to 12 climate change scenarios. We obtained this response by simulating the climatically induced shifts in net primary productivity and geographical distribution of major biomes in the conterminous U.S. with the BIOME 3 model. BIOME 3 captured well the potential distribution of major biomes across the U.S. under baseline (current) climate. BIOME 3 also reproduced the general trends of observed net primary production (NPP) acceptably. The NPP projections were reasonable for forests, but not for grasslands where the simulated values were always greater than those observed. Changes in NPP would be most severe under the BMRC climate change scenario in which severe changes in regional temperatures are projected. Under the UIUC and UIUC + Sulfate scenarios, NPP generally increases, especially in the West where increases in precipitation are projected to be greatest. A CO2-fertilization effect either amplified increases or alleviated losses in modeled NPP. Changes in NPP were also associated with changes in the geographic distribution of major biomes. Temperate/boreal mixed forests would cover less land in the U.S. under most of the climate change scenarios examined. Conversely, the temperate conifer and temperate deciduous forests would increase in areal extent under the UIUC and UIUC + Sulfate scenarios. The Arid Shrubland/Steppe would spread significantly across the southwest U.S. under the BMRC scenario. A map overlay of the simulated regions that would lose or gain capacity to produce corn and wheat on top of the projected distribution of natural ecosystems under the BMRC and UIUC scenarios (Global mean temperature increase of +2.5 °C, no CO2 effect) helped identify areas where natural and managed ecosystems could contract or expand. The methods and models employed here are useful in identifying; (a) the range in response of unmanaged ecosystem in the U.S. to climate change and (b) the areas of the country where, for a particular scenario of climate change, land cover changes would be most likely. 相似文献
6.
Paul D. WILLIAMS 《大气科学进展》2017,34(5):576-586
Anthropogenic climate change is expected to strengthen the vertical wind shears at aircraft cruising altitudes within the atmospheric jet streams. Such a strengthening would increase the prevalence of the shear instabilities that generate clear-air turbulence. Climate modelling studies have indicated that the amount of moderate-or-greater clear-air turbulence on transatlantic flight routes in winter will increase significantly in future as the climate changes. However,the individual responses of light,moderate,and severe clear-air turbulence have not previously been studied,despite their importance for aircraft operations. Here,we use climate model simulations to analyse the transatlantic wintertime clear-air turbulence response to climate change in five aviation-relevant turbulence strength categories. We find that the probability distributions for an ensemble of 21 clear-air turbulence diagnostics generally gain probability in their right-hand tails when the atmospheric carbon dioxide concentration is doubled. By converting the diagnostics into eddy dissipation rates,we find that the ensembleaverage airspace volume containing light clear-air turbulence increases by 59%(with an intra-ensemble range of 43%–68%),light-to-moderate by 75%(39%–96%),moderate by 94%(37%–118%),moderate-to-severe by 127%(30%–170%),and severe by 149%(36%–188%). These results suggest that the prevalence of transatlantic wintertime clear-air turbulence will increase significantly in all aviation-relevant strength categories as the climate changes. 相似文献
7.
作为全球性危机,新冠疫情和气候危机在影响范围、效果、原因等方面的相似之处可能使两种危机的效果叠加,而二者的不同之处又可能导致应对政策的相互干扰,带来更加严峻的复合风险。文中全面分析了全球面临的新冠疫情和气候危机的复合风险,识别了新冠疫情对全球气候变化适应进程的影响,以及适应在各国疫后绿色复苏计划中的地位。研究表明,目前全球的绿色复苏中较少考虑适应,而绿色复苏为同时恢复经济和增强气候恢复力提供了机会,如果能在绿色复苏中考虑变革性适应,将显著提升社会经济系统对气候变化等冲击的抵御能力与恢复力,实现疫情后更持续和更有韧性的经济发展。 相似文献
8.
Takuya Iwamura Antoine Guisan Kerrie A. Wilson Hugh P. Possingham 《Global Environmental Change》2013,23(5):1277-1284
International conservation organisations have identified priority areas for biodiversity conservation. These global-scale prioritisations affect the distribution of funds for conservation interventions. As each organisation has a different focus, each prioritisation scheme is determined by different decision criteria and the resultant priority areas vary considerably. However, little is known about how the priority areas will respond to the impacts of climate change. In this paper, we examined the robustness of eight global-scale prioritisations to climate change under various climate predictions from seven global circulation models. We developed a novel metric of the climate stability for 803 ecoregions based on a recently introduced method to estimate the overlap of climate envelopes. The relationships between the decision criteria and the robustness of the global prioritisation schemes were statistically examined. We found that decision criteria related to level of endemism and landscape fragmentation were strongly correlated with areas predicted to be robust to a changing climate. Hence, policies that prioritise intact areas due to the likely cost efficiency, and assumptions related to the potential to mitigate the impacts of climate change, require further examination. Our findings will help determine where additional management is required to enable biodiversity to adapt to the impacts of climate change. 相似文献
9.
Keith D. Williams Catherine A. Senior Anthony Slingo John F. B. Mitchell 《Climate Dynamics》2005,24(7-8):701-719
Most of the discrepancies in the climate sensitivity of general circulation models (GCMs) are believed to be due to differences in cloud radiative feedback. Analysis of cloud response to climate change in different ‘regimes’ may offer a more detailed understanding of how the cloud response differs between GCMs. In which case, evaluation of simulated cloud regimes against observations in terms of both their cloud properties and frequency of occurrence will assist in assessing confidence in the cloud response to climate change in a particular GCM. In this study, we use a clustering technique on International Satellite Cloud Climatology Project (ISCCP) data and on ISCCP-like diagnostics from two versions of the Hadley Centre GCM to identify cloud regimes over four different geographical regions. The two versions of the model are evaluated against observational data and their cloud response to climate change compared within the cloud regime framework. It is found that cloud clusters produced by the more recent GCM, HadSM4, compare more favourably with observations than HadSM3. In response to climate change, although the net cloud response over particular regions is often different in the two models, in several instances the same basic processes may be seen to be operating. Overall, both changes in the frequency of occurrence of cloud regimes and changes in the properties (optical depth and cloud top height) of the cloud regimes contribute to the cloud response to climate change. 相似文献
10.
The wine industry is increasingly recognized as especially vulnerable to climate change due to the climate sensitivity of both winegrape yields and quality, making it an important model system for the agricultural impacts of global changes. However, agricultural production is strongly influenced by the management decisions of growers, including their practices to modify the microclimate experienced by the growing crop; these adaptations have not been studied at the vineyard level, where managers on the ground are on the front lines of responding to global change.We conducted 20 in-depth interviews with winegrowers to examine farm-scale adaptive responses to environmental stresses, to understand the views and motivations of agricultural managers, and to explore adaptive capacity in practice. We found that growers tend to respond to stresses individually rather than collectively, except when facing severe, unfamiliar pests and diseases. Responses may be reactive or anticipatory; most anticipatory strategies have been short-term, in response to imminent threats. Growers tend to rely on their own experience to guide their management decisions, which may offer poor guidance under novel climate regimes. From using a Vulnerability Scoping Diagram, we find that changing exposure (vineyard location) and sensitivity (planting choices such as vine variety) have the biggest impact on reducing vulnerability, but that adaptations in growing or processing the crop in the vineyard and winery are easier to implement, much more commonly undertaken, and may also offer substantial adaptive capacity. Understanding the context of adaptations, as well as the decision-making processes motivating them, is important for understanding responses to global change.These findings highlight some innovations in adapting to global change, as well as some of the barriers, and point to the need for strategic investments to enhance agricultural resilience to climate change. In particular, strategies to enhance both effective and easy to implement farming adaptations, as well as broader-scale anticipatory, collective responses, could reduce vulnerability in the context of climate change. 相似文献
11.
基于2012—2015年在华北、珠三角和湖南湖北地区对企业管理人员进行的气候变化意识的问卷调查,构建了气候变化意识和企业应对气候变化措施两个一级指数。通过对调查结果交叉列联表分析,得出以下结论：企业管理人员的气候变化意识指数处于一般水平,并且受年龄、产业类型、企业类型的影响显著;企业应对气候变化措施指数也处于一般水平且不同企业水平差距较大,企业管理人员气候变化意识水平、未来预期和自主知识产权拥有量对其影响显著。 相似文献
12.
基于在云南省西部保山地区开展的入户问卷调查和关键信息人访谈,探讨在发生旱灾,大量农民外出务工以弥补旱灾给家庭和农业生产带来的损失这一特定背景下,对比外出务工农户和非外出务工农户在收入来源、应对旱灾措施和家庭收入分配上的差异,分析外出务工对农民适应气候变化能力带来的影响。结果表明：外出务工收入给留守家庭的气候变化适应能力带来了积极的影响;另外一方面,大量青壮年劳动力的外出让经济结构仍然以农业为主的村庄出现劳动力缺乏、农业发展后续动力不足等潜在问题。建议在未来针对外出务工人口开展的职业培训中增加诸如家庭财务管理、气候变化等相关内容来加强农村地区和农民的气候变化适应能力,建议政府推广气候智能农业,采取本地化/本土化的适应措施。 相似文献
13.
Stéphane Hallegatte 《Global Environmental Change》2009,19(2):240-247
Many decisions concerning long-lived investments already need to take into account climate change. But doing so is not easy for at least two reasons. First, due to the rate of climate change, new infrastructure will have to be able to cope with a large range of changing climate conditions, which will make design more difficult and construction more expensive. Second, uncertainty in future climate makes it impossible to directly use the output of a single climate model as an input for infrastructure design, and there are good reasons to think that the needed climate information will not be available soon. Instead of optimizing based on the climate conditions projected by models, therefore, future infrastructure should be made more robust to possible changes in climate conditions. This aim implies that users of climate information must also change their practices and decision-making frameworks, for instance by adapting the uncertainty-management methods they currently apply to exchange rates or R&D outcomes. Five methods are examined: (i) selecting “no-regret” strategies that yield benefits even in absence of climate change; (ii) favouring reversible and flexible options; (iii) buying “safety margins” in new investments; (iv) promoting soft adaptation strategies, including long-term prospective; and (v) reducing decision time horizons. Moreover, it is essential to consider both negative and positive side-effects and externalities of adaptation measures. Adaptation–mitigation interactions also call for integrated design and assessment of adaptation and mitigation policies, which are often developed by distinct communities. 相似文献
14.
K. D. Williams M. A. Ringer C. A. Senior M. J. Webb B. J. McAvaney N. Andronova S. Bony J. -L. Dufresne S. Emori R. Gudgel T. Knutson B. Li K. Lo I. Musat J. Wegner A. Slingo J. F. B. Mitchell 《Climate Dynamics》2006,26(2-3):145-165
Most of the uncertainty in the climate sensitivity of contemporary general circulation models (GCMs) is believed to be connected with differences in the simulated radiative feedback from clouds. Traditional methods of evaluating clouds in GCMs compare time–mean geographical cloud fields or aspects of present-day cloud variability, with observational data. In both cases a hypothetical assumption is made that the quantity evaluated is relevant for the mean climate change response. Nine GCMs (atmosphere models coupled to mixed-layer ocean models) from the CFMIP and CMIP model comparison projects are used in this study to demonstrate a common relationship between the mean cloud response to climate change and present-day variability. Although atmosphere–mixed-layer ocean models are used here, the results are found to be equally applicable to transient coupled model simulations. When changes in cloud radiative forcing (CRF) are composited by changes in vertical velocity and saturated lower tropospheric stability, a component of the local mean climate change response can be related to present-day variability in all of the GCMs. This suggests that the relationship is not model specific and might be relevant in the real world. In this case, evaluation within the proposed compositing framework is a direct evaluation of a component of the cloud response to climate change. None of the models studied are found to be clearly superior or deficient when evaluated, but a couple appear to perform well on several relevant metrics. Whilst some broad similarities can be identified between the 60°N–60°S mean change in CRF to increased CO2 and that predicted from present-day variability, the two cannot be quantitatively constrained based on changes in vertical velocity and stability alone. Hence other processes also contribute to the global mean cloud response to climate change. 相似文献
15.
Few assessments of species vulnerability to climate change used to inform conservation management consider the intrinsic traits that shape species’ capacity to respond to climate change. This omission is problematic as it may result in management actions that are not optimised for the long-term persistence of species as climates shift. We present a tool for explicitly linking data on plant species’ life history traits and range characteristics to appropriate management actions that maximise their capacity to respond to climate change. We deliberately target data on easily measured and widely available traits (e.g. dispersal syndrome, height, longevity) and range characteristics (e.g. range size, climatic/soil niche breadth), to allow for rapid comparison across many species. We test this framework on 1237 plants, categorising species on the basis of their potential climate change risk as related to four factors affecting their response capacity: reproduction, movement capability, abiotic niche specialisation and spatial coverage. Based on these four factors, species were allocated risk scores, and these were used to test the hypothesis that the current protection status under national legislation and related management actions capture species response capacity to climate change. Our results indicate that 20% of the plant species analysed (242 species) are likely to have a low capacity to respond to climate change based on the traits assessed, and are therefore at high risk. Of the 242 high risk species, only 10% (24 species) are currently listed for protection under conservation legislation. Importantly, many management plans for these listed species fail to address the capacity of species to respond to climate change with appropriate actions: 70% of approved management plans do not include crucial actions which may improve species’ ability to adapt to climate change. We illustrate how the use of easily attainable traits associated with ecological and evolutionary responses to changing environmental conditions can inform conservation actions for plant species globally. 相似文献
16.
2019年8月7日IPCC《气候变化与土地特别报告》决策者摘要获得通过,报告涉及对基于土地应对气候变化不同措施的评估,取得一些新的认知,包括定量评估基于土地的40种综合措施对提高气候变化减缓和适应能力、防治荒漠化和土地退化、增强粮食安全、保护生物多样性和水资源及促进可持续发展的效益,提出在防治荒漠化和土地退化及保障粮食安全过程中提高气候变化适应和减缓能力的措施,评估了实施不同措施的风险、限制、障碍和保障政策等。在措施的分类、气候变化适应的主体对象,以及风险和政策分析等方面还存在一些不足。评估报告结论将对我国建立基于土地的应对气候变化的对策,促进把应对气候变化与防治荒漠化和土地退化、保护生态环境与增强粮食安全工作结合,制定相关政策等方面都具有重要的启示意义。 相似文献
17.
Modeling Dynamic Vegetation Response to Rapid Climate Change Using Bioclimatic Classification 总被引：2，自引：0，他引：2
Modeling potential global redistribution of terrestrial vegetation frequently is based on bioclimatic classifications which relate static regional vegetation zones (biomes) to a set of static climate parameters. The equilibrium character of the relationships limits our confidence in their application to scenarios of rapidly changing climate. Such assessments could be improved if vegetation migration and succession would be incorporated as response variables in model simulations. We developed the model MOVE (Migration Of VEgetation), to simulate the geographical implications of different rates of plant extirpation and in-migration. We used the model to study the potential impact on terrestrial carbon stocks of climate shifts hypothesized from a doubling of atmospheric greenhouse gas concentration. The model indicates that the terrestrial vegetation and soil could release carbon; the amount of this carbon pulse depends on the rate of migration relative to the rate of climate change. New temperate and boreal biomes, not found on the landscape today, increase rapidly in area during the first 100 years of simulated response to climate change. Their presence for several centuries and their gradual disappearance after the climate ceases to change adds uncertainty in calculating future terrestrial carbon fluxes. 相似文献
18.
The modification of greenhouse gas warming by the direct effect of sulphate aerosols 总被引：1，自引：0，他引：1
The Canadian Centre for Climate Modelling and Analysis (CCCma) second generation climate model (GCMII) consists of an atmospheric
GCM coupled to mixed layer ocean. It is used to investigate the climate response to a doubling of the CO2 concentration together with the direct effect of scattering by sulphate aerosols. As expected, the aerosols offset some of
the greenhouse gas (GHG) warming; the global annual mean screen temperature change due to doubled CO2 is 3.4 °C in this model and this is reduced to 2.7 °C when an estimate of the direct effect of anthropogenic sulphate aerosols
is included. The pattern of climate response to the comparatively localized aerosol forcing is not itself localized, and it
bears a striking resemblance to the response pattern that arises from the globally distributed change in GHG forcing. This
“non-local” response to “localized” forcing indicates that the pattern of climate response is determined, to first order,
by the overall magnitude of the change in forcing rather than its detailed nature or structure. Feedback processes operating
in the system apparently determine this pattern by locally amplifying and suppressing the response to the magnitude of the
change in forcing. The influence of the location of the change in forcing is relatively small. These “non-local” and “local”
effects of aerosol forcing are characterized and displayed and some of their consequences discussed. Effects on the moisture
budget and on the energetics of the global climate are also examined.
Received: 10 June 1997 / Accepted: 8 January 1998 相似文献
19.
IPCC于2019年8月7日通过了《气候变化与土地特别报告》决策者摘要,报告第3章评估了气候变化与荒漠化的关系,取得了一些新认识,包括全球旱地(dryland)和荒漠化的范围、荒漠化过程与影响因素、荒漠化的检测与归因、荒漠化对自然和社会经济系统的影响、荒漠化对气候变化的反馈、未来气候变化对荒漠化的影响与风险,应对荒漠化与适应和减缓气候变化的联系。在估计荒漠化变化、荒漠化变化检测与归因、荒漠化对自然和社会经济系统的影响、荒漠化对气候变化的反馈、应对荒漠化与适应和减缓气候变化联系方面还存在不足。这些评估结果对我国认识旱地和荒漠化范围的变化、影响荒漠化因素、荒漠化过程、荒漠化变化检测与归因,荒漠化对自然和社会经济系统的影响、荒漠化对气候变化的反馈、未来气候变化对荒漠化的影响与风险,以及防治荒漠化与适应和减缓气候变化方面等都有重要的启示。 相似文献
20.
张永香 《沙漠与绿洲气象(新疆气象)》2018,12(1):1-6
全球气候变暖毋庸质疑。政府间气候变化专门委员会(IPCC)第五次评估报告(AR5)再次证实,全球气候持续变暖,由此引发风险越来越明确,而人类活动对全球气候变化影响的证据也越来越确凿。如何应对气候变化带来的不利影响是全人类共同的任务。中国作为人类命运共同体的一员,一直非常重视气候变化。2007年,国务院成立国家应对气候变化及节能减排工作领导小组,作为国家应对气候变化和节能减排工作的议事协调机构。自此,国家应对气候变化领导小组统一领导、国家发展和改革委员会归口管理、有关部门和地方分工负责、智库机构有力支撑、全社会广泛参与的应对气候变化管理体制和工作机制已经初步形成,并逐步将应对气候变化工作放入中国中长期发展战略中。随着对全球气候变化认知的深入,气候变化对中国中长期发展及战略部署的影响也越来越大,应对气候变化工作也将成为中国中长期发展必须考虑的一部分。应对气候变化是生态文明建设的重要一环,力推绿色低碳安全发展应是未来发展的必然之路。同时,对外需积极参与全球气候治理,对内更需加强科普宣传,提高全民意识。 相似文献