陕北黄土丘陵沟壑区农户气候变化的适应行为及影响因素分析

从农户个体微观视角,研究农业的活动主体--农户的气候变化适应行为。选择陕北黄土丘陵沟壑区,采用问卷调查和半结构式访谈相结合的方法研究农户气候变化感知与适应行为,运用二元逻辑回归模型分析影响该地区农户适应行为的因素。结果表明：农户对气候变化趋势感知比较一致,认为近5 年夏季和冬季气温升高,降水减少,但与实际观测存在一定偏差。农户应对气候变化采取适应行为的比重并不高,只有57.8% 的农户表示采取了相应的措施来应对气候变化。农户适应行为受气候变化感知的影响,此外,家庭社会经济属性对农户采取适应行为的概率影响显著,而性别、年龄、文化程度等人口属性因素与农户采取适应行为的概率关系不大。     

樱桃种植户对气候变化及气象灾害的适应行为效能感知研究

在全球气候变化及气象灾害频发的背景下,农户的适应行为受到了众多学者的关注,而适应行为的效能感知关系到农户能否准确有效地应对气候变化和气象灾害带来的影响,从而提高适应能力,降低生计风险。基于陕西省白鹿原地区9个村落的相关统计数据,运用计划行为理论和路径分析法辨识樱桃种植户适应行为效能感知的影响因素,继而利用有序logistic回归模型探究樱桃种植户属性、气候变化感知及樱桃不同生长阶段的气象灾害感知对较弱适应行为效能感知的影响机制。结果表明：樱桃种植户的行为态度、主观规范和知觉行为控制对适应行为效能的感知程度都具有显著的正向影响;较弱的适应行为效能感知主要受到樱桃种植户年龄、家庭农业收入、近30年本地气候变暖感知以及本地霜冻感知的显著正向影响。最后,基于以上结论提出了具有针对性的政策建议。     

外出务工对山区农民适应旱灾能力的影响——云南保山的案例

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。     

北疆地区公众对气候变化认知与适应的性别差异分析

针对位于“一带一路”重点区域的北疆地区民众对气候变化的认知与适应行为开展调查研究,分析当地居民对气候变化的感知和适应情况。结果表明:公众对气候变化的感知较为清晰,女性对气候变化及气象灾害的关注和相对感知强度更高。在适应气候变化引起的干旱缺水方面,“修水库”等基础设施建设的认可度最高,除此之外,男性更倾向于“推广喷灌、滴灌等节水技术”等技术性的方法,而女性却更倾向于“减少生活用水”。经历极端灾害性天气后,男性倾向于“调整生活方式”来应对气候变化,而女性却更倾向于“学习气象灾害和气候变化相关的专业知识和技能”。在防御气象灾害方面,当地政府应当重视建立灾害防御救济基金、加大社会保障力度,提高防灾减灾能力。     

青藏高原东北缘山地农户对气候变化的感知及适应策略——以湟水中游为例

以青藏高原东北缘山地地区不同海拔高度地理单元村落的农户为调查对象,进行气候变化、气象灾害的感知及适应策略等调查,采用感知强度公式及专家打分法分析农户气候变化感知以及所采用的适应策略,结果显示：1961—2013年湟水中游气候变化整体趋于暖干化,有84%的农户认为气候变暖,并对其生活造成了严重的影响;在不同海拔高度上的地理单元,农户对气象灾害的感知有明显差异,川水地区农户对沙尘的感知最强,浅山地区农户对虫害的感知最强,而脑山地区农户对连阴雨的感知最强;不同海拔高度的农户对适应策略的选择不同,川水地区农户主要采取“生产性+生活性+保障性”组合适应策略;浅山地区农户主要采取“生产性+生活性”组合适应策略;而脑山地区的农户则主要采取单一的“生产性”适应策略来应对气候变化所带来的影响。     

气候变化感知和适应行为研究的可视化计量分析

基于Web of Science（WOS）核心数据库中2007—2019年发表的2075篇以“气候变化”“感知”和“适应”为研究主题的文献,利用CiteSpace软件的网络可视化分析功能,并结合WOS的相关统计工具,对气候变化感知和适应行为领域的文献特征与演进历程进行研究,以期明确该领域的历史研究特征、知识基础和热点演变,并指出未来的研究趋势,为发展创新提供参考。结果表明：除气候变化、适应和感知外,脆弱性、影响、风险、管理、变化性、适应能力、恢复力、农业、风险感知、政策、干旱和农民也是气候变化感知和适应行为领域的热点词汇;在研究中不断涌现新的词汇,且越来越重视沿海地区和小农问题;公众的个体经验不断受到重视,同时气候变化敏感区将是本领域未来的热点研究地区;中国仍处于气候变化感知和适应行为领域研究的起步阶段。     

气候变化对农业生产的影响及其适应

基于国内有关研究,综述了气候变化对我国农业气候资源和农作物种植结构影响的观测事实,分析了气候变化中农业气象灾害时间变化趋势,评述了未来气候变化对农作物生产的可能影响和适应策略.得出:(1)中国大陆(西南地区除外)光温生产潜力呈明显增长趋势,其中北方增幅大干南方,气候变化对不同地区的不同作物的生产潜力影响不同.(2)气温...     

气候变化对中国农业生产的影响研究进展

气候变化已成为当今科学界、各国政府和社会公众普遍关注的环境问题之一,气候变化可能对生态系统和社会经济产生灾难性影响,农业是受气候变化影响最直接的脆弱行业。因此,气候变化对农业生产的影响研究一直是气候变化研究领域中的热点问题之一。该文系统介绍了有关全球气候变化对中国农业生产影响研究的现状与进展,包括气候变化对农业影响的研究方法、大气中温室气体浓度增加对农作物的影响试验、气候变化对农业气候资源的影响、气候变化对农作物生长发育和产量的影响、气候变化对农业种植制度和品种布局的影响、气候变化对农作物气候生产潜力和气候资源利用率的影响等,指出当前在研究气候变化对农业影响评估中存在的问题,提出了今后应加强对气候变化情景和预测模式不确定性的研究、气候变化对农业影响的方法研究。此外,气候变化背景下极端天气气候事件对农业生产的影响以及气候变化对农业病虫害的影响研究等仍较薄弱,有待进一步加强和深入。     

大学生气候变化意识的一次调查——以南京农业大学为例

 大学气候变化教育是国家应对气候变化能力建设的重要组成部分。通过一个自主设计的问卷,随机抽样调查了南京农业大学部分在校本科生,评价和分析了其对气候变化问题的认识水平、应对行动态度与行动的意愿性等。结果表明,被调查者在气候变化与农业的关系上有较高的认知,但在气候变化意识的不同方面和年级间及专业间都存在一定差异。农学类学生对于温室气体的产生途径及其与气候变化的关系了解不够,不过,高年级学生和农科类学生关于气候变化与农业关系方面的认知分别显著高于低年级和文科类学生。然而,学生个体间在应对气候变化的参与态度上有很大差异,而气候变化的总体意识和参与态度与年级关系相对较弱。看来,高等农业院校本科教育中急需加强气候变化教育。建议开设气候变化及其应对的公共选修课或专门气候变化管理课程,以适应应对气候变化的人才培养需求。     

气候变化及人类活动对西北干旱区水资源影响研究综述

本文回顾了西北干旱区气候变化事实及其对水资源影响的最新研究进展,从气候变化和人类活动两个角度综述了水资源变化的原因,以及未来西北干旱区水资源变化与适应对策。研究表明：1961年以来西北干旱区呈现明显暖湿化趋势,其中冬季增温最快,夏季降水增加速率最大。伊利河谷、塔城等地区增温趋势最大,北疆降水量增加最多。受气候变暖导致冰雪快速消融和山区降水增加的影响,西北干旱区西部河流黑河、疏勒河、塔里木河出山口径流量显著增加。由于东部河流石羊河径流的补给主要靠降水,降水的减少导致径流呈现下降趋势。不合理人类活动造成石羊河、黑河和开都河中下游径流减少。本文提出了西北干旱区亟待深入研究的任务：极端天气气候事件的变化规律及其对水资源影响;未来气候变化和水资源的预估;气候变化归因研究;气候变化-社会经济活动一体化适应策略选择;水资源科学合理定量分配等。     

Analysis of farm performance in Europe under different climatic and management conditions to improve understanding of adaptive capacity

The aim of this paper is to improve understanding of the adaptive capacity of European agriculture to climate change. Extensive data on farm characteristics of individual farms from the Farm Accountancy Data Network (FADN) have been combined with climatic and socio-economic data to analyze the influence of climate and management on crop yields and income and to identify factors that determine adaptive capacity. A multilevel analysis was performed to account for regional differences in the studied relationships. Our results suggest that socio-economic conditions and farm characteristics should be considered when analyzing effects of climate conditions on farm yields and income. Next to climate, input intensity, economic size and the type of land use were identified as important factors influencing spatial variability in crop yields and income. Generally, crop yields and income are increasing with farm size and farm intensity. However, effects differed among crops and high crop yields were not always related to high incomes, suggesting that impacts of climate and management differ by impact variable. As farm characteristics influence climate impacts on crop yields and income, they are good indicators of adaptive capacity at farm level and should be considered in impact assessment models. Different farm types with different management strategies will adapt differently.     

Drought in Northeast Brazil—past,present, and future

This study provides an overview of the drought situation in Northeast Brazil for the past, present, and future. Droughts affect more people than any other natural hazard owing to their large scale and long-lasting nature. They are recurrent in the region and while some measures have been taken by the governments to mitigate their impacts, there is still a perception that residents, mainly in rural areas, are not yet adapted to these hazards. The drought affecting the Northeast from 2012 to 2015, however, has had an intensity and impact not seen in several decades and has already destroyed large swaths of cropland, affecting hundreds of cities and towns across the region, and leaving ranchers struggling to feed and water cattle. Future climate projections for the area show large temperature increases and rainfall reductions, which, together with a tendency for longer periods with consecutive dry days, suggest the occurrence of more frequent/intense dry spells and droughts and a tendency toward aridification in the region. All these conditions lead to an increase in evaporation from reservoirs and lakes, affecting irrigation and agriculture as well as key water uses including hydropower and industry, and thus, the welfare of the residents. Integrating drought monitoring and seasonal forecasting provides efficient means of assessing impacts of climate variability and change, identifying vulnerabilities, and allowing for better adaptation measures not only for medium- and long-term climate change but also for extremes of the interannual climate variability, particularly droughts.

     

Indian agriculture and climate sensitivity

This study estimates the relationship between farm level net-revenue and climate variables in India using cross-sectional evidence. Using the observed reactions of farmers, the study seeks to understand how they have adapted to different climatic conditions across India. District level data is used for the analysis. The study also explores the influence of annual weather and crop prices on the climate response function. The estimated climate response function is used to assess the possible impacts of a ‘best-guess’ climate change scenario on Indian agriculture.     

U.S. Agriculture and Climate Change: New Results

We examined the impacts on U.S. agriculture of transient climate change assimulated by 2 global general circulation models focusing on the decades ofthe 2030s and 2090s. We examined historical shifts in the location of cropsand trends in the variability of U.S. average crop yields, finding thatnon-climatic forces have likely dominated the north and westward movement ofcrops and the trends in yield variability. For the simulated future climateswe considered impacts on crops, grazing and pasture, livestock, pesticide use,irrigation water supply and demand, and the sensitivity to international tradeassumptions, finding that the aggregate of these effects were positive for theU.S. consumer but negative, due to declining crop prices, for producers. Weexamined the effects of potential changes in El Niño/SouthernOscillation (ENSO) and impacts on yield variability of changes in mean climateconditions. Increased losses occurred with ENSO intensity and frequencyincreases that could not be completely offset even if the events could beperfectly forecasted. Effects on yield variability of changes in meantemperatures were mixed. We also considered case study interactions ofclimate, agriculture, and the environment focusing on climate effects onnutrient loading to the Chesapeake Bay and groundwater depletion of theEdward's Aquifer that provides water for municipalities and agriculture to theSan Antonio, Texas area. While only case studies, these results suggestenvironmental targets such as pumping limits and changes in farm practices tolimit nutrient run-off would need to be tightened if current environmentalgoals were to be achieved under the climate scenarios we examined     

Spatial variation of crop yield response to climate change in East Africa

There is general consensus that the impacts of climate change on agriculture will add significantly to the development challenges of ensuring food security and reducing poverty, particularly in Africa. While these changes will influence agriculture at a broad scale, regional or country-level assessments can miss critical detail. We use high-resolution methods to generate characteristic daily weather data for a combination of different future emission scenarios and climate models to drive detailed simulation models of the maize and bean crops. For the East African region, there is considerable spatial and temporal variation in this crop response. We evaluate the response of maize and beans to a changing climate, as a prelude to detailed targeting of options that can help smallholder households adapt. The results argue strongly against the idea of large, spatially contiguous development domains for identifying and implementing adaptation options, particularly in regions with large variations in topography and current average temperatures. Rather, they underline the importance of localised, community-based efforts to increase local adaptive capacity, take advantage of changes that may lead to increased crop and livestock productivity where this is possible, and to buffer the situations where increased stresses are likely.     

东北地区农业应对气候变化的策略与措施分析

气候变化的影响与适应已经成为农业生产面临的现实而紧迫的问题。1956-2005年东北地区增温1.5℃,幅度明显高于全国平均水平,给作物生产带来复杂的影响。东北是重要的国家商品粮生产基地,对国家粮食安全起着重要作用。探讨区域层面上适应气候变化的能力建设更具有针对性和现实性。文章分析了近50 a来东北地区气候变化的主要表现及其对农业生产的影响;针对气候变化过程中人类活动对土地利用和温室气体的影响,提出了东北地区适应和减缓气候变化的策略和措施,强调在农业生态、水资源利用、环境保护等多方面综合开展工作,积极采取行动,最终达到维护气候环境、充分利用气候资源的目的,为东北粮食生产安全、农业可持续发展做出贡献。     

Regional modeling of climate change impacts on smallholder agriculture and ecosystems in Central America

Climate change will have serious repercussions for agriculture, ecosystems, and farmer livelihoods in Central America. Smallholder farmers are particularly vulnerable due to their reliance on agriculture and ecosystem services for their livelihoods. There is an urgent need to develop national and local adaptation responses to reduce these impacts, yet evidence from historical climate change is fragmentary. Modeling efforts help bridge this gap. Here, we review the past decade of research on agricultural and ecological climate change impact models for Central America. The results of this review provide insights into the expected impacts of climate change and suggest policy actions that can help minimize these impacts. Modeling indicates future climate-driven changes, often declines, in suitability for Central American crops. Declines in suitability for coffee, a central crop in the regional economy, are noteworthy. Ecosystem models suggest that climate-driven changes are likely at low- and high-elevation montane forest transitions. Modeling of vulnerability suggests that smallholders in many parts of the region have one or more vulnerability factors that put them at risk. Initial adaptation policies can be guided by these existing modeling results. At the same time, improved modeling is being developed that will allow policy action specifically targeted to vulnerable groups, crops, and locations. We suggest that more robust modeling of ecological responses to climate change, improved representation of the region in climate models, and simulation of climate influences on crop yields and diseases (especially coffee leaf rust) are key priorities for future research.     

Climate Change, Agriculture, and Water Quality in the Chesapeake Bay Region

Research on climate change and agriculture has largely focused on production, food prices, and producer incomes. However, societal interest in agriculture is much broader than these issues. The objective of this paper is to analyze the potential impacts of climate change on an important negative externality from agriculture, water quality. We construct a simulation model of maize production in twelve watersheds within the U.S. Chesapeake Bay Region that has economic and watershed components linking climate to productivity, production decisions by maize farmers, and nitrogen loadings delivered to the Chesapeake Bay. Maize is an important crop to study because of its importance to the region's agriculture and because it is a major source of nutrient pollution. The model is run under alternative scenarios regarding the future climate, future baseline (without any climate change), whether farmers respond to climate change, whether there are carbon dioxide (CO₂) enrichment effects on maize production, and whether agricultural prices facing the region change due to climate change impacts on global agricultural commodity markets. The simulation results differ from one scenario to another on the magnitude and direction of change in nitrogen deliveries to the Chesapeake Bay. The results are highly sensitive to the choice of future baseline scenario and to whether there are CO₂ enrichment effects. The results are also highly sensitive to assumptions about the impact of climate change on commodity prices facing farmers in the Chesapeake Bay region. The results indicate that economic responses by farmers to climate change definitely matter. Assuming that farmers do not respond to changes in temperature, precipitation, and atmosphericCO₂ levels could lead to mistaken conclusions about the magnitude and direction of environmental impacts.     

US agricultural sector analysis on pesticide externalities – the impact of climate change and a Pigovian tax

Residuals from agricultural pesticides threaten the environment and human health. Climate change alters these externalities because it affects pest pressure and pesticide application rates. This study examines damages from pesticide externalities in US agriculture under different climate projections and the effects of alternative regulations. We find divergent impacts of externality regulation and climate change on agricultural production in the US. A Pigovian tax on pesticide externalities generally increases crop production cost, but farm revenue improves because of increased commodity prices. Climate change generally decreases US farm revenue because production increases and prices fall. Results also show a heterogeneous effect of climate change on pest management intensities across major crops.     

Assessing the vulnerability of food crop systems in Africa to climate change

Africa is thought to be the region most vulnerable to the impacts of climate variability and change. Agriculture plays a dominant role in supporting rural livelihoods and economic growth over most of Africa. Three aspects of the vulnerability of food crop systems to climate change in Africa are discussed: the assessment of the sensitivity of crops to variability in climate, the adaptive capacity of farmers, and the role of institutions in adapting to climate change. The magnitude of projected impacts of climate change on food crops in Africa varies widely among different studies. These differences arise from the variety of climate and crop models used, and the different techniques used to match the scale of climate model output to that needed by crop models. Most studies show a negative impact of climate change on crop productivity in Africa. Farmers have proved highly adaptable in the past to short- and long-term variations in climate and in their environment. Key to the ability of farmers to adapt to climate variability and change will be access to relevant knowledge and information. It is important that governments put in place institutional and macro-economic conditions that support and facilitate adaptation and resilience to climate change at local, national and transnational level.