农户对气候变化的感知与生计适应——基于中部与东部村庄的调查对比

相对于城市居民,气候变化对农户的影响更为直接与强烈,而农户对气候变化的感知是其采取适应策略的重要前提。目前,相关领域的宏观研究成果比较丰富,以家庭为单位的典型调查分析相对缺乏,基于不同地域农户对比的微观实证研究则更未见于报道。选择中部内陆河南省与东部沿海福建省典型农区的一个村庄作为研究样地,采用参与式农村评估法(Participatory Rural Appraisal,PRA),基于中部和东部村庄144份与153份有效问卷数据,从家庭尺度探讨内陆与沿海农户对气候变化及其影响的感知与生计适应的结构性差异。结果显示:农户对气温与降水的变化感知直接且强烈,能较一致地回顾气候变暖的强度与时期,中部农户对降水变化的感知度较强;接近一半的农户将气候变暖归因于人类因素,至于人类活动内容(如工业排放、汽车增加、个人与家庭、农业污染、农村建设等)对气候变化变暖影响的认知,中部与东部农户则存在显著性差异;农户对气候变化影响的感知不如预期深刻;农户对气候变化的生计适应趋于多样化,包括外出打工、改变种植方式、修建基础设施与多样化经营等。     

高寒生态脆弱区农户对气候变化的感知与适应意向——以甘南高原为例

以地处青藏高原东缘的甘南高原为研究区,基于农户调查数据,分析了农户的气候变化感知对其适应意向的影响,为制定有效的气候变化适应政策提供依据.结果表明: 纯农户、兼业户、非农户对气候变化的严重性的感知依次降低,但适应功效感知依次增强,且与非农户、纯农户相比,兼业户的可能性感知、自我效能感知与适应成本感知均较高;纯农户、兼业户、非农户对气候变化的积极适应意向趋于增强;气候变化风险感知、适应功效感知促使农户产生积极适应意向,而适应成本感知促使其产生消极适应意向.同时,农户拥有的耕地面积、牲畜数量、收入水平以及性格乐观程度与积极适应意向发生概率呈显著正相关,而固定资产拥有量、无偿现金援助机会、亲戚网及帮助网规模与其呈显著负相关.最后,提出了促使农户产生积极适应意向的对策建议及未来研究中需关注的问题.     

高寒生态脆弱区农户对气候变化的感知——以甘南高原为例

气候变化作为人类当前面临的最严峻挑战,已对生态脆弱区农户生计产生严重的负面影响,明确农户对气候变化的感知对于制定有效的气候变化适应政策非常关键。以甘南高原为研究区,基于入户调查数据,构建了农户对气候变化的感知度指数,分析了甘南高原农户的气候变化感知特征,并采用经济计量模型分析了影响农户气候变化感知的关键因素。结果表明:(1)甘南高原农户对气温变化的感知能力强于对降水变化的感知,并对近期发生的、规模较大、影响较严重的极端天气记忆较深;(2)农户对气候变化的严重性及可能性感知较强烈,感知到的适应成本与适应功效也较高,但感知到的自我效能较弱,其气候变化严重性、可能性、适应功效、自我效能及适应成本感知度指数分别为3.76、3.34、3.43、2.85、3.53,且农区农户对气候变化的风险感知与适应感知均最强,半农半牧区次之,纯牧区最弱;(3)气候变化信息、农户的客观适应能力、农户对社会话语的信任度、适应激励均会影响农户的气候变化感知,其中,适应激励为最关键的影响因素,其与农户的气候变化适应功效感知、自我效能感知均呈正相关,而与风险感知、适应成本感知呈负相关。最后,针对如何提高农户气候变化感知的准确度,增强农户应对气候变化的能力,提出相关的政策建议。     

不同海拔高度农牧民对气候变化的感知与适应

气候变化已经对西藏地区产生了明显而深刻的影响。农牧民对气候变化的当地影响有较系统的认识。以西藏乃东区为研究对象。调查4个不同海拔梯度上农牧民对气候变化的感知与适应,然后利用气象数据对比农牧民对气候变化的感知,探究海拔高度与农牧民感知及其适应行为的关系,分析影响农牧民对气候变化感知与适应行为的因素。结果如下,研究区增温趋势明显,年降水量自2005年以来明显减少。不同梯度上的农牧民对当地气候变化的相对感知强度存在差异。农牧民对气温和雪覆盖变化的相对感知强度较高且基本随海拔升高而增强,而对雨季、农作物病虫害、新的病虫害变化的相对感知强度则随海拔升高而减弱。农牧民对年降水量的相对感知强度整体较低,但对近年年降水量持续减少记忆较深刻。在全球气候变化背景下,流域的上下两端会遭受较多的气候变化负面影响。农牧民对当地气候变化的感知与其采取的适应行为并不具有同步性。农牧民的受教育程度、经济状况、当地传统文化及其对气候变化的感知强度等因素均会影响农牧民对气候变化适应措施的选择。政府在制定及实施气候政策时应考虑流域内不同海拔高度区域气候变化特征及其影响的差异。     

内蒙古荒漠草原牧户对气候变化的感知和适应

荒漠草原是气候变化影响的脆弱和敏感地区.荒漠草原的牧户主要依赖天然草原维持生计,正面临着严峻的气候变化挑战.本文采用问卷调查的实证分析方法,在获取内蒙古苏尼特右旗荒漠草原牧户对气候变化和极端气候事件感知和适应的第一手资料基础上,分析了荒漠草原牧户对气候变化趋势和极端气候事件感知和适应的现状与行为特征.结果表明:在降水稀少、气象灾害频繁发生的荒漠草原,干旱是影响范围最广、影响程度最深、发生频率最高的极端气候事件;牧户不仅对干旱的敏感度远高于其他极端气候事件,而且对大风、沙尘暴和大雪等极端气候事件的深刻感知伴随着对干旱的感知而产生;相对于长期气候变化的感知,牧户对短期气候变化趋势的感知更深刻、准确,并主要依据近10年气候变化的感知结果来判断较长期气候变化的总体趋势;牧户认为,气候变化在很大程度上影响了牲畜健康和草场产量,但牧户应对气候变化的行为相对单一,且多为自发性被动适应,缺乏行之有效的主动适应.     

基于结构方程模型的高寒生态脆弱区农户的气候变化感知研究——以甘南高原为例

农户对气候变化的感知是其适应行动选择的基础,弄清楚影响农户气候变化感知的关键因素,辨明农户气候变化感知的形成机制,对制定有效的适应策略至关重要。以甘南高原为研究区,基于539份入户调查数据,构建了路径模型,分析了影响农牧户气候变化感知的关键因素及其作用路径,结果发现:(1)客观适应能力对农牧户的气候变化风险感知及适应感知有显著的正向影响;(2)气候变化信息对农牧户的气候变化风险感知及适应感知有显著的正向影响,它还通过客观适应能力间接影响农牧户的气候变化感知;(3)社会话语信任度对农牧户的气候变化风险感知及适应感知有显著的正向影响,适应激励对农牧户的气候变化适应感知有显著的正向影响,但对风险感知产生显著的负向影响,同时,社会话语信任度及适应激励均通过气候变化信息及客观适应能力而间接影响农牧户的气候变化感知。最后,基于影响甘南高原农牧户气候变化感知的关键因素,提出了提高农牧户的气候变化认知水平及气候变化适应行为有效性的对策建议。     

中国生物多样性适应气候变化策略研究

全球气候变化不仅给人类社会可持续发展带来严峻挑战,而且严重威胁到生物多样性及生态安全。我国是生物多样性最为丰富的国家之一,气候变化已经在对动物分布、行为和迁移,植物物候、植被和群落结构等方面造成了影响,并增加了珍稀濒危物种的灭绝风险,同时对生态系统的功能方面也造成了明显影响。未来气候变化将成为生物多样性丧失的主要驱动力之一。世界很多国家都在制定生物多样性适应气候变化的策略和采取适应行动,加强生物多样性的保护。本文在分析国外适应策略的基础上,结合中国生物多样性的现状,提出了适应气候变化的策略建议,包括制定生物多样性适应气候变化的国家战略,开展气候变化对生物多样性的影响监测和评估,针对敏感物种的就地保护和迁地保护,针对气候变化将导致退化生态系统开展恢复与重建,重点关注生物多样性适应气候变化优先区的保护,通过科学研究和国际合作,促进生物多样性适应气候变化技术的提高,期望为我国生物多样性保护和应对气候变化提供支持。     

高寒生态脆弱区农户的气候变化适应策略评价——以甘南高原为例

气候变化加剧了高寒生态脆弱区农户的生计脆弱性,为应对气候变化,农户已采取了各种响应措施,当前急需评估农户所采取适应策略的效果,以便选择更有效的适应策略。以甘南高原为研究区,基于入户调查数据分析了农户所采取适应策略的特征,采用模糊综合评价法分析现行适应策略的效果,并利用多准则决策模型确定了最优的气候变化适应策略。结果显示:(1)甘南高原农户多采取组合型策略应对气候变化,尤以调整+扩张型策略为主;(2)甘南高原农户所采取气候变化适应策略的效果较好,效益指数为3.43。其中,农区农户的适应策略效果最好、半农半牧区次之、纯牧区最差;(3)甘南高原不同区域农户筛选的最优策略存在差异。其中,纯牧区和半农半牧区农户筛选的最优策略为调整农牧业结构,而农区农户为完善农牧业基础设施。最后,提出了提高农户适应策略效果的对策建议及未来研究中需进一步关注的问题。     

高寒生态脆弱区农户对气候变化的适应需求——以甘南高原为例

气候变化对以自然资源为生计基础的农业人口的影响尤为显著。明确农户对气候变化的适应需求,对于制定有效的气候变化适应政策、增强农户的气候变化适应能力非常重要。基于500份农户调查问卷,分析了甘南高原不同区域和不同生计方式农户对气候变化的适应需求,并利用二元logistic回归模型分析了影响农户适应需求的关键因素。结果表明:(1)在适应气候变化过程中,甘南高原农户对基础设施的需求最强烈,对信息和生产技术的需求次之;(2)不同区域农户对气候变化的适应需求存在差异。其中,纯牧区农户和农区农户对基础设施的需求均最强烈,半农半牧区农户对信息的需求最强烈;(3)不同生计方式农户对气候变化的适应需求也存在差异。其中,纯农户对信贷保险的需求最强烈,一兼户和二兼户均对基础设施的需求最强烈;(4)自然资本和物质资本是影响农户对生产技术需求的关键因素,自然资本和人力资本是影响农户对信息需求的关键因素,人力资本和金融资本是影响农户对基础设施需求的关键因素,自然资本、人力资本、金融资本、物质资本和社会资本均是影响农户对信贷保险需求的关键因素。提出了提升农户适应气候变化能力的政策建议。     

适应全球气候变化的中国林业适应对策探讨

全球气候变化对生态系统的影响是当今世界上人们普遍关注的问题[1～3],目前我国林业界正在研究大气二氧化碳浓度增加及全球气候变化对我国林业的影响,并取得了一些研究成果。现有研究表明,全球气候正在变化而且有可能发生更剧烈的变化。因为气候变化是生态因子变化的先兆,进而会影响到林木生长季节的长短、雨量分布、树种分布和进化、边际生境、树木生长、病原体和害虫的活动及火灾发生频度和强度,所以气候变化将对我国林业产生很大的影响[4～6]。为此,研究我国适应全球气候变化的林业对策已是刻不容缓的事。本文在现有研究的基础上,根据我…     

周期性气候变化与人类适应

从古至今,气候变化特别是周期性气候变化,一直深刻影响着人类社会的变革和发展,从旧石器时代人类起源迁移、新石器时代文化文明演变、历史时期王朝兴衰更替,到工业化以来社会经济发展动荡等,无不留下周期性气候变化影响的烙印。本文依据近年来古气候、古人类、环境考古等研究的新证据、新进展,从周期性气候变化的角度审视人类社会各个发展阶段、关键节点的气候特征;通过典型案例,介绍和分析旧石器、新石器、历史时期不同时空尺度周期性气候变化和人类活动之间复杂的相互作用关系,讨论自然科学和人文社会科学对气候变化与人类活动关系认识的异同,阐述在学科交叉背景下研究气候与人类活动关系的新范式。     

Toward sustainable climate change adaptation

Industrial ecology (IE) has made great contributions to climate change mitigation research, in terms of its systems thinking and solid methodologies such as life cycle assessment, material flow analysis, and environmentally extended input–output analysis. However, its potential contribution to climate change adaptation is unclear. Adaptation has become increasingly urgent in a continuously changing climate, especially in developing countries, which are projected to bear the brunt of climate‐change‐related damages. On the basis of a brief review of climate change impacts and adaptation literature, we suggest that IE can play an important role in the following two aspects. First, with the emphasis on a systems perspective, IE can help us determine how climate change interacts with our socio‐economic system and how the interactions may aggravate (or moderate) its direct impacts or whether they may shift burden to other environmental impacts. Second, IE methodologies can help us quantify the direct and indirect environmental impacts of adaptation activities, identify mitigation opportunities, and achieve sustainable adaptation. Further, we find that substantial investment is needed to increase the resilience of infrastructure (e.g., transport, energy, and water supply) and agriculture in developing countries. Because these sectors are also the main drivers of environmental degradation, how to achieve sustainable climate‐resilient infrastructure and agriculture in developing countries deserves special attention in future IE studies. Overall, IE thinking and methodologies have great potential to contribute to climate change adaptation research and policy questions, and exploring this growing field will, in turn, inspire IE development.     

Rapid adaptation to climate change

In recent years, amid growing concerns that changing climate is affecting species distributions and ecosystems, predicting responses to rapid environmental change has become a major goal. In this issue, Franks and colleagues take a first step towards this objective (Franks et al. 2016). They examine genomewide signatures of selection in populations of Brassica rapa after a severe multiyear drought. Together with other authors, Franks had previously shown that flowering time was reduced after this particular drought and that the reduction was genetically encoded. Now, the authors have sequenced previously stored samples to compare allele frequencies before and after the drought and identify the loci with the most extreme shifts in frequencies. The loci they identify largely differ between populations, suggesting that different genetic variants may be responsible for reduction in flowering time in the two populations.     

Breathing life into climate change adaptation

The exploration of evolutionary biology and biological adaptation can inform society's adaptation to climate change, particularly the mechanisms that bring about adaptability, such as phenotypic plasticity, epigenetics, and horizontal gene transfer. Learning from unplanned autonomous biological adaptation may be considered undesirable and incompatible with human endeavor. However, it is argued that there is no need for agency, and planned adaptation is not necessarily preferable over autonomous adaptation. What matters is the efficacy of adaptive mechanisms and their capacity to increase societal resilience to current and future impacts. In addition, there is great scope for industrial ecology (IE) to contribute approaches to climate change adaptation that generate system models and baseline data to inform decision making. The problem of “uncertainty” was chosen as an example of a challenge that is shared by biological systems, IE, and climate change adaptation to show how biological adaptation might contribute solutions. Finally, the Coastal Climate Adaptation Decision Support tool was used to demonstrate how IE and biological adaptation approaches may be mainstreamed in climate change adaptation planning and practice. In conclusion, there is close conceptual alignment between evolutionary biology and IE. The integration of biological adaptation thinking can enrich IE, add new perspectives to climate change adaptation science, and support IE's engagement with climate change adaptation. There should be no major obstacles regarding the collaboration of industrial ecologists with the climate change adaptation community, but mainstreaming of biological adaptation solutions depends greatly on successful knowledge transfer and the engagement of open‐minded and informed adaptation stakeholders.     

Local adaptation and the evolution of species’ ranges under climate change

The potential impact of climate change on biodiversity is well documented. A well developed range of statistical methods currently exists that projects the possible future habitat of a species directly from the current climate and a species distribution. However, studies incorporating ecological and evolutionary processes remain limited. Here, we focus on the potential role that local adaptation to climate may play in driving the range dynamics of sessile organisms. Incorporating environmental adaptation into a stochastic simulation yields several new insights. Counter-intuitively, our simulation results suggest that species with broader ranges are not necessarily more robust to climate change. Instead, species with broader ranges can be more susceptible to extinction as locally adapted genotypes are often blocked from range shifting by the presence of cooler adapted genotypes that persist even when their optimum climate has left them behind. Interestingly, our results also suggest that it will not always be the cold-adapted phenotypes that drive polewards range expansion. Instead, range shifts may be driven by phenotypes conferring adaptation to conditions prevalent towards the centre of a species’ equilibrium distribution. This may have important consequences for the conservation method termed predictive provenancing. These initial results highlight the potential importance of local adaptation in determining how species will respond to climate change and we argue that this is an area requiring urgent theoretical and empirical attention.     

Pathogen adaptation to seasonal forcing and climate change

Many diverse infectious diseases exhibit seasonal dynamics. Seasonality in disease incidence has been attributed to seasonal changes in pathogen transmission rates, resulting from fluctuations in extrinsic climate factors. Multi-strain infectious diseases with strain-specific seasonal signatures, such as cholera, indicate that a range of seasonal patterns in transmission rates is possible in identical environments. We therefore consider pathogens capable of evolving their 'seasonal phenotype', a trait that determines the sensitivity of their transmission rates to environmental variability. We introduce a theoretical framework, based on adaptive dynamics, for predicting the evolution of disease dynamics in seasonal environments. Changes in the seasonality of environmental factors are one important avenue for the effects of climate change on disease. This model also provides a framework for examining these effects on pathogen evolution and associated disease dynamics. An application of this approach gives an explanation for the recent cholera strain replacement in Bangladesh, based on changes in monsoon rainfall patterns.     

Vulnerability of mires under climate change: implications for nature conservation and climate change adaptation

Wetlands in general and mires in particular belong to the most important terrestrial carbon stocks globally. Mires (i.e. bogs, transition bogs and fens) are assumed to be especially vulnerable to climate change because they depend on specific, namely cool and humid, climatic conditions. In this paper, we use distribution data of the nine mire types to be found in Austria and habitat distribution models for four IPCC scenarios to evaluate climate change induced risks for mire ecosystems within the 21st century. We found that climatic factors substantially contribute to explain the current distribution of all nine Austrian mire ecosystem types. Summer temperature proved to be the most important predictor for the majority of mire ecosystems. Precipitation—mostly spring and summer precipitation sums—was influential for some mire ecosystem types which depend partly or entirely on ground water supply (e.g. fens). We found severe climate change induced risks for all mire ecosystems, with rain-fed bog ecosystems being most threatened. Differences between scenarios are moderate for the mid-21st century, but become more pronounced towards the end of the 21st century, with near total loss of climate space projected for some ecosystem types (bogs, quagmires) under severe climate change. Our results imply that even under minimum expected, i.e. inevitable climate change, climatic risks for mires in Austria will be considerable. Nevertheless, the pronounced differences in projected habitat loss between moderate and severe climate change scenarios indicate that limiting future warming will likely contribute to enhance long-term survival of mire ecosystems, and to reduce future greenhouse gas emissions from decomposing peat. Effectively stopping and reversing the deterioration of mire ecosystems caused by conventional threats can be regarded as a contribution to climate change mitigation. Because hydrologically intact mires are more resilient to climatic changes, this would also maintain the nature conservation value of mires, and help to reduce the severe climatic risks to which most Austrian mire ecosystems may be exposed in the 2nd half of the 21st century according to IPCC scenarios.