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Journal articles on the topic 'Climate impact'

Author: Grafiati

Published: 4 June 2021

Last updated: 22 June 2024

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1

Gerstengarbe, Friedrich-Wilhelm, Fred Hattermann, and Peggy Gräfe. "German climate change impact study." Meteorologische Zeitschrift 24, no. 2 (April 13, 2015): 121–22. http://dx.doi.org/10.1127/metz/2015/0666.

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Dr. P. Subramanyachary, Dr P. Subramanyachary, and Dr S. SiddiRaju Dr. S. SiddiRaju. "Climate Chage – Impact of Different Cyclones." Paripex - Indian Journal Of Research 2, no. 1 (January 15, 2012): 59–61. http://dx.doi.org/10.15373/22501991/jan2013/22.

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3

Mitchell, Jamie A., Philip E. Bett, Helen M. Hanlon, and Andrew Saulter. "Investigating the impact of climate change on the UK wave power climate." Meteorologische Zeitschrift 26, no. 3 (June 14, 2017): 291–306. http://dx.doi.org/10.1127/metz/2016/0757.

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4

Kumar, Kiran. "Impact of Climate Change on Human Health." Indian Journal of Applied Research 4, no. 1 (October 1, 2011): 309–11. http://dx.doi.org/10.15373/2249555x/jan2014/90.

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5

Marais, Karen, Stephen P. Lukachko, Mina Jun, Anuja Mahashabde, and Ian A. Waitz. "Assessing the impact of aviation on climate." Meteorologische Zeitschrift 17, no. 2 (April 28, 2008): 157–72. http://dx.doi.org/10.1127/0941-2948/2008/0274.

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6

Almahdi Ibrahim Basha, Nouraldin. "Impact of Climate Change on Agriculture Productivity." International Journal of Science and Research (IJSR) 12, no. 3 (March 5, 2023): 601–4. http://dx.doi.org/10.21275/sr23216131824.

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7

Hodson, Hal. "Keystone's climate impact." New Scientist 223, no. 2982 (August 2014): 10. http://dx.doi.org/10.1016/s0262-4079(14)61560-8.

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8

Wang, Ronald, and Carly Wang. "Climate Change Impact on Health—Modelling Climate Change Impacts use R." OAJRC Environmental Science 3, no. 1 (January 14, 2023): 30–35. http://dx.doi.org/10.26855/oajrces.2022.12.004.

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9

AM, Penjiyev. "Impact of Renewable Energy Sources on Climate Change." Journal of Energy and Environmental Science 1, no. 1 (November 14, 2023): 1–5. http://dx.doi.org/10.23880/jeesc-16000102.

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Based on the analytical analysis of the eco-energy resource potentials of renewable energy sources and climate change, the potential for mitigation and costs, the strategy of Turkmenistan on climate change, energy demand and the greenhouse effect, options for reducing emissions, a heterogeneous class of renewable technologies (solar, wind, bioenergy, geothermal and hydropower). Research to date suggests that climate change is not expected to significantly affect the global technical potential for wind energy development, but changes in the regional distribution of wind energy resources can be expected. Climate change is not expected to have a significant impact on the amount or geographic distribution of geothermal or ocean and marine energy resources.

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Ingole, Sangita P., and Aruna U. Kakde. "Global Warming and Climate Change: Impact on Biodiversity." International Journal of Scientific Research 2, no. 5 (June 1, 2012): 288–90. http://dx.doi.org/10.15373/22778179/may2013/96.

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11

Gallo, Jorge A. "How Climate Change Might Impact on Xenarhtra Species?" International Journal of Zoology and Animal Biology 6, no. 3 (2023): 1–2. http://dx.doi.org/10.23880/izab-16000481.

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12

Rathee, Sahil, and Prof Rahul Pawar. "The Impact of Climate Changes on Cloud Computing." International Journal of Research Publication and Reviews 5, no. 3 (March 2, 2024): 562–68. http://dx.doi.org/10.55248/gengpi.5.0324.0622.

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13

Huber, V., H. J. Schellnhuber, N. W. Arnell, K. Frieler, A. D. Friend, D. Gerten, I. Haddeland, et al. "Climate impact research: beyond patchwork." Earth System Dynamics 5, no. 2 (November 13, 2014): 399–408. http://dx.doi.org/10.5194/esd-5-399-2014.

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Abstract. Despite significant progress in climate impact research, the narratives that science can presently piece together of a 2, 3, 4, or 5 °C warmer world remain fragmentary. Here we briefly review past undertakings to characterise comprehensively and quantify climate impacts based on multi-model approaches. We then report on the Inter-Sectoral Impact Model Intercomparison Project (ISI-MIP), a community-driven effort to compare impact models across sectors and scales systematically, and to quantify the uncertainties along the chain from greenhouse gas emissions and climate input data to the modelling of climate impacts themselves. We show how ISI-MIP and similar efforts can substantially advance the science relevant to impacts, adaptation and vulnerability, and we outline the steps that need to be taken in order to make the most of the available modelling tools. We discuss pertinent limitations of these methods and how they could be tackled. We argue that it is time to consolidate the current patchwork of impact knowledge through integrated cross-sectoral assessments, and that the climate impact community is now in a favourable position to do so.

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14

Bruce, James P. "Impact of climate change." Nature 377, no. 6549 (October 1995): 472. http://dx.doi.org/10.1038/377472a0.

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15

Sundaraman, N. "Impact of climate change." Nature 377, no. 6549 (October 1995): 472. http://dx.doi.org/10.1038/377472b0.

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16

Coelho, D. R., and R. T. S. Pires. "Impact of Organizational Climate." Scientific Electronic Archives 14, no. 1 (December 9, 2020): 67. http://dx.doi.org/10.36560/14120211260.

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17

Katherine Bourzac. "Modeling microplastics’ climate impact." C&EN Global Enterprise 99, no. 39 (October 25, 2021): 8. http://dx.doi.org/10.1021/cen-09939-scicon9.

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18

Arnell, N. W., S. Brown, S. N. Gosling, J. Hinkel, C. Huntingford, B. Lloyd-Hughes, J. A. Lowe, T. Osborn, R. J. Nicholls, and P. Zelazowski. "Global-scale climate impact functions: the relationship between climate forcing and impact." Climatic Change 134, no. 3 (January 21, 2014): 475–87. http://dx.doi.org/10.1007/s10584-013-1034-7.

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19

Schefczyk, Lukas, and Günther Heinemann. "Climate change impact on thunderstorms: Analysis of thunderstorm indices using high-resolution regional climate simulations." Meteorologische Zeitschrift 26, no. 4 (October 26, 2017): 409–19. http://dx.doi.org/10.1127/metz/2017/0749.

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20

Rutgersson, Anna, Øyvind Sætra, Alvaro Semedo, Björn Carlsson, and Rajesh Kumar. "Impact of surface waves in a Regional Climate Model." Meteorologische Zeitschrift 19, no. 3 (June 1, 2010): 247–57. http://dx.doi.org/10.1127/0941-2948/2010/0456.

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21

Madziga, I. I. "Impact of climate change on livestock productivity: A review." Nigerian Journal of Animal Production 48, no. 4 (March 8, 2021): 149–64. http://dx.doi.org/10.51791/njap.v48i4.3006.

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Climate change is a long-term shift in the statistics of the weather such as temperature, radiation, and wind and rainfall characteristics of a particular region. Sustainability in livestock production system is largely affected by climate change. A disproportion between metabolic high temperature production inside the animal body and its dissipation to the surroundings results to heat stress under high air temperature and humid climates. The foremost reaction of animals under thermal weather is an increase in respiration rate, rectal temperature and heart rate. The anticipated rise in temperature due to climate change is likely to aggravate the heat stress in livestock, adversely affecting their productive and reproductive performance and even death in extreme cases. The predicted negative impact of climate change on agriculture would also adversely affect livestock production by aggravating the feed and fodder shortages. The paper mainly reviews the impacts of climate change on livestock productive performance. Le changement climatique est un changement à long terme dans les statistiques météorologiques telles que la température, le rayonnement et les caractéristiques du vent et des précipitations d'une région particulière. La durabilité du système de production de bétail est largement affectée par le changement climatique. Une disproportion entre la production métabolique à haute température à l'intérieur du corps de l'animal et sa dissipation dans l'environnement entraîne un stress thermique sous des températures élevées de l'air et des climats humides. La réaction la plus importante des animaux sous temps thermique est une augmentation de la fréquence respiratoire, de la température rectale et de la fréquence cardiaque. L'augmentation prévue de la température due au changement climatique est susceptible d'aggraver le stress thermique du bétail, affectant négativement ses performances productives et reproductives et même la mort dans les cas extrêmes. L'impact négatif prévu du changement climatique sur l'agriculture aurait également un effet négatif sur la production animale en aggravant les pénuries d'aliments et de fourrage. Le document passe principalement en revue les impacts du changement climatique sur les performances de production de bétail.

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22

DE, U. S. "Climate change impact : Regional scenario." MAUSAM 52, no. 1 (December 29, 2021): 201–12. http://dx.doi.org/10.54302/mausam.v52i1.1688.

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Climate change and global warming are going to be the major issues for the 21st century. Their impacts on agriculture, water availability and other natural resources are of serious concern. The paper briefly summarizes the existing information on global warming, past climatic anomalies and occurrence of extreme events vis-a-vis their impact on south Asia in general and Indian in particular. Use of GCM models in conjunction with crop simulation models for impact assessment in agriculture are briefly touched upon. The impact on hydrosphere in terms of water availability and on the forests in India are also discussed. A major shift in our policy makers paradigm is needed to make development sustainable in the face of climate change, global warming and sea level rise.

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23

Masson, Valéry, Aude Lemonsu, Julia Hidalgo, and James Voogt. "Urban Climates and Climate Change." Annual Review of Environment and Resources 45, no. 1 (October 17, 2020): 411–44. http://dx.doi.org/10.1146/annurev-environ-012320-083623.

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Cities are particularly vulnerable to extreme weather episodes, which are expected to increase with climate change. Cities also influence their own local climate, for example, through the relative warming known as the urban heat island (UHI) effect. This review discusses urban climate features (even in complex terrain) and processes. We then present state-of-the-art methodologies on the generalization of a common urban neighborhood classification for UHI studies, as well as recent developments in observation systems and crowdsourcing approaches. We discuss new modeling paradigms pertinent to climate impact studies, with a focus on building energetics and urban vegetation. In combination with regional climate modeling, new methods benefit the variety of climate scenarios and models to provide pertinent information at urban scale. Finally, this article presents how recent research in urban climatology contributes to the global agenda on cities and climate change.

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24

Qiao, Yaning, Andrew R. Dawson, Tony Parry, Gerardo Flintsch, and Wenshun Wang. "Flexible Pavements and Climate Change: A Comprehensive Review and Implications." Sustainability 12, no. 3 (February 2, 2020): 1057. http://dx.doi.org/10.3390/su12031057.

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Flexible pavements and climate are interactive. Pavements are climate sensitive infrastructure, where climate can impact their deterioration rate, subsequent maintenance, and life-cycle costs. Meanwhile, climate mitigation measures are urgently needed to reduce the environmental impacts of pavements and related transportation on the macroclimate and microclimate. Current pavement design and life cycle management practices may need to be modified to adapt to changing climates and to reduce environmental impacts. This paper reports an extensive literature search on qualitative and quantitative pavement research related to climate change in recent years. The topics cover climate stressors, sensitivity of pavement performance to climatic factors, impacts of climate change on pavement systems, and, most importantly, discussions of climate change adaptation, mitigation, and their interactions. This paper is useful for those who aim to understand or research the climate resilience of flexible pavements.

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25

ESTRADA, FRANCISCO, and RICHARD S. J. TOL. "TOWARD IMPACT FUNCTIONS FOR STOCHASTIC CLIMATE CHANGE." Climate Change Economics 06, no. 04 (November 2015): 1550015. http://dx.doi.org/10.1142/s2010007815500153.

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Most functions of economic impact assume that climate change is smooth. We here propose impact functions that have stochastic climate change as an input. These functions are identical in shape and have similar parameters as do deterministic impact functions. The mean stochastic impacts are thus similar to deterministic impacts. Welfare effects are larger, and the stochasticity premium is larger than the risk premium. Results suggest that stochasticity is more important for past impacts than for future impacts. This outcome is partly caused by an underestimation of natural variability in the 21st century climate projections.

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26

Changnon, Stanley A., Peter J. Lamb, and Kenneth G. Hubbard. "Regional Climate Centers: New Institutions for Climate Services and Climate-Impact Research." Bulletin of the American Meteorological Society 71, no. 4 (April 1990): 527–37. http://dx.doi.org/10.1175/1520-0477(1990)071<0527:rccnif>2.0.co;2.

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27

Macinante, J. "Climate Impact Measurement In Climate Finance and Carbon Markets." Carbon & Climate Law Review 14, no. 3 (2020): 199–209. http://dx.doi.org/10.21552/cclr/2020/3/8.

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28

Araujo, Miguel B., Richard G. Pearson, Wilfried Thuiller, and Markus Erhard. "Validation of species-climate impact models under climate change." Global Change Biology 11, no. 9 (September 2005): 1504–13. http://dx.doi.org/10.1111/j.1365-2486.2005.01000.x.

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29

Cloke, Hannah L., Fredrik Wetterhall, Yi He, Jim E. Freer, and Florian Pappenberger. "Modelling climate impact on floods with ensemble climate projections." Quarterly Journal of the Royal Meteorological Society 139, no. 671 (August 13, 2012): 282–97. http://dx.doi.org/10.1002/qj.1998.

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30

Bakaki, Zorzeta. "The impact of climate summits." Nature Climate Change 12, no. 7 (July 2022): 611–12. http://dx.doi.org/10.1038/s41558-022-01416-3.

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31

OH, Khalidullin. "Impact of Garbage on Climate." Acta Scientific Microbiology 4, no. 6 (May 7, 2021): 26–27. http://dx.doi.org/10.31080/asmi.2021.04.0851.

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32

Foley, Aideen Maria. "Climate impact assessment and “islandness”." International Journal of Climate Change Strategies and Management 10, no. 2 (March 19, 2018): 289–302. http://dx.doi.org/10.1108/ijccsm-06-2017-0142.

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Purpose Climate data, including historical climate observations and climate model outputs, are often used in climate impact assessments, to explore potential climate futures. However, characteristics often associated with “islandness”, such as smallness, land boundedness and isolation, may mean that climate impact assessment methods applied at broader scales cannot simply be downscaled to island settings. This paper aims to discuss information needs and the limitations of climate models and datasets in the context of small islands and explores how such challenges might be addressed. Design/methodology/approach Reviewing existing literature, this paper explores challenges of islandness in top-down, model-led climate impact assessment and bottom-up, vulnerability-led approaches. It examines how alternative forms of knowledge production can play a role in validating models and in guiding adaptation actions at the local level and highlights decision-making techniques that can support adaptation even when data is uncertain. Findings Small island topography is often too detailed for global or even regional climate models to resolve, but equally, local meteorological station data may be absent or uncertain, particularly in island peripheries. However, rather than viewing the issue as decision-making with big data at the regional/global scale versus with little or no data at the small island scale, a more productive discourse can emerge by conceptualising strategies of decision-making with unconventional types of data. Originality/value This paper provides a critical overview and synthesis of issues relating to climate models, data sets and impact assessment methods as they pertain to islands, which can benefit decision makers and other end-users of climate data in island communities.

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33

Karl, Thomas R., and Kevin E. Trenberth. "The Human Impact on Climate." Scientific American 281, no. 6 (December 1999): 100–105. http://dx.doi.org/10.1038/scientificamerican1299-100.

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34

Vasiliev, O. F., and M. V. Bolgov. "Hydrological impact of climate changes." Water Resources 35, no. 6 (November 2008): 733–35. http://dx.doi.org/10.1134/s0097807808060134.

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35

Hollý, Ján, and Adela Palková. "Climate change impact – residential unit." MATEC Web of Conferences 279 (2019): 03007. http://dx.doi.org/10.1051/matecconf/201927903007.

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The issue of climate change is undeniably demonstrating its presence. Consequently, there is a rising need to be prepared for upcoming threats by any means possible. One of the precautions includes obtaining the information characterizing the expected impact of global warming. This will allow authorities and other stakeholders to act accordingly in time. The article presents the assessment of the extent of impact of energy-related construction solutions in dwelling type unit situated in Central Europe region under the 21st century climate conditions. The findings represent eventual demands of energy for cooling and heating and its prospective savings. This is conducted by consecutively and automatically changing the parameters in individual simulation runs. As a basis for simulations, regionally scaled weather data of three different climate areas are used. These data are based on the emission scenarios by IPCC and are reaching to the year 2100. The selection of assessed parameters and climate data application are briefly explained in the article. The results of simulations are evaluated and recommended solutions are stated in regard to the specific energy-related construction changes. The aim is to successfully mitigate and adapt to the climate change phenomenon.

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36

Schatten, Kenneth H. "Climate impact of solar variability." Eos, Transactions American Geophysical Union 71, no. 39 (1990): 1103. http://dx.doi.org/10.1029/90eo00310.

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37

Lomborg, Bjorn. "Impact of Current Climate Proposals." Global Policy 7, no. 1 (November 9, 2015): 109–18. http://dx.doi.org/10.1111/1758-5899.12295.

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38

Brasseur, Guy P., and Mohan Gupta. "Impact of Aviation on Climate." Bulletin of the American Meteorological Society 91, no. 4 (April 2010): 461–64. http://dx.doi.org/10.1175/2009bams2850.1.

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39

Lodge, James P. "Climate impact assessment, scope 27." Atmospheric Environment (1967) 20, no. 5 (January 1986): 1071. http://dx.doi.org/10.1016/0004-6981(86)90300-8.

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40

Meo, Mark. "Policy-oriented climate impact assessment." Global Environmental Change 1, no. 2 (March 1991): 124–38. http://dx.doi.org/10.1016/0959-3780(91)90019-p.

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41

Bamzai-Dodson, Aparna, and Renee A. McPherson. "When Do Climate Services Achieve Societal Impact? Evaluations of Actionable Climate Adaptation Science." Sustainability 14, no. 21 (October 28, 2022): 14026. http://dx.doi.org/10.3390/su142114026.

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To cope with complex environmental impacts in a changing climate, researchers are increasingly being asked to produce science that can directly support policy and decision making. To achieve such societal impact, scientists are using climate services to engage directly with stakeholders to better understand their needs and inform knowledge production. However, the wide variety of climate-services outcomes—ranging from establishing collegial relationships with stakeholders to obtaining specific information for inclusion into a pre-existing decision process—do not directly connect to traditional methods of measuring scientific impact (e.g., publication citations, journal impact factor). In this paper, we describe how concepts from the discipline of evaluation can be used to examine the societal impacts of climate services. We also present a case study from climate impacts and adaptation research to test a scalable evaluation approach. Those who conduct research for the purposes of climate services and those who fund applied climate research would benefit from evaluation from the beginning of project development. Doing so will help ensure that the approach, data collection, and data analysis are appropriately conceived and executed.

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42

MARUYA, Yasuyuki, Morihiro HARADA, Rui ITO, Hiroaki KAWASE, Koji DAIRAKU, and Hidetaka SASAKI. "UNCERTAINTY OF REGIONAL CLIMATE MODEL AND IMPACT ASSESSMENT MODEL TOWARD CLIMATE CHANGE IMPACT ASSESSMENT." Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering) 74, no. 5 (2018): I_109—I_114. http://dx.doi.org/10.2208/jscejhe.74.5_i_109.

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43

Daiyan, Md Mahir. "The Impact of Climate Change on Indigenous Knowledge and Cultural Practices." Praxis International Journal of Social Science and Literature 6, no. 6 (June 25, 2023): 75–80. http://dx.doi.org/10.51879/pijssl/060611.

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The effects of climate change on human societies are widespread, especially for indigenous populations who depend on ecosystems and natural resources for their survival and cultural traditions. In this paper, the effect of climate change on indigenous knowledge and cultural practices is examined, with particular attention paid to how shifting climatic conditions and other environmental factors are influencing accumulated ecological wisdom and indigenous cultural practices. The study highlights the varied ways that climate change is affecting indigenous peoples by utilizing ethnographic data from numerous indigenous communities around the world. The study highlights the ways that indigenous tribes are adapting to climate change, including by changing their traditional beliefs and behaviors. Additionally, it looks at the difficulties indigenous peoples experience as a result of climate change, such as biodiversity loss, the deterioration of cultural legacy, and the danger to their social and economic well-being. The study also investigates how themes of social justice and human rights, such as the right to self-determination and the preservation of cultural legacy, intersect with the impact of climate change on indigenous knowledge and practices. According to the study, there are both advantages and disadvantages to how climate change will affect indigenous knowledge and traditional traditions. One the one hand, indigenous peoples are becoming more innovative and creative as a result of climate change, adjusting to the changing environment and creating fresh approaches to resource management and conservation. The resilience of indigenous people is also being weakened by climate change, endangering their cultural legacy and social well-being. Overall, this work highlights the urgent need for greater research into how climate change is affecting indigenous knowledge and cultural practices, as well as for practices and policies that promote indigenous communities' ability for adaptation and protect their cultural heritage and human rights.

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Chen, Hong Xiang, and Ya Ping Li. "Climatic Trends and Impact on Agriculture in Ningxia." Advanced Materials Research 518-523 (May 2012): 5921–30. http://dx.doi.org/10.4028/www.scientific.net/amr.518-523.5921.

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This paper characterizes the climate characteristics and observed climate variability in Ningxia, China, using observed daily data from 15 meteorological stations. Climate indices until 2050 and 2100 are projected using the Regional climate impact models PRECIS (Providing Regional Climates for Impacts Studies), emphasizing those which are relevant to agriculture. The results show that the average temperature in Ningxia has increased from 1961-2010 while the mean precipitation has decreased. The frost-free period and accumulated temperature ≥0°C have also increased. Frost-free periods have increased and extended the growing season. PRECIS shows that the annual average temperature, minimum and maximum temperature is projected to increase. Annual precipitation will not change significantly, but the observed dry spells will continue. Increasing temperatures are beneficial for most crop yields but also increase the risk of plant diseases as planting and harvesting times have changed and will change. The regional disparity of water availability, demand and actual use will further be aggravated in future.

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45

Healey, G. K., K. M. Magner, R. Ritter, R. Kamookak, A. Aningmiuq, B. Issaluk, K. Mackenzie, L. Allardyce, A. Stockdale, and P. Moffit. "Community Perspectives on the Impact of Climate Change on Health in Nunavut, Canada." ARCTIC 64, no. 1 (March 9, 2011): 89. http://dx.doi.org/10.14430/arctic4082.

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<span style="font-family: 'Times New Roman';">The purpose of this study was to explore community perspectives on the most important ways that climate change is affecting the health of northern peoples. The study was conducted in Iqaluit, Nunavut, using a participatory action approach and the photovoice research method. Participants identified themes and patterns in the data and developed a visual model of the relationships between the themes identified. Five themes emerged from the data: the direct impacts of climate change on the health of individuals and communities, the transition from past climates to future climates, necessary adaptation to the changing climate in the North, the call to action (individual, regional, and national), and reflection on the past and changing knowledge systems. A climate change and health model was developed to illustrate the relationships between the themes. Participants in this study conceptualized health and climate change broadly. Participants believed that by engaging in a process of ongoing reflection, and by continually incorporating new knowledge and experiences into traditional knowledge systems, communities may be better able to adapt and cope with the challenges to health posed by climate change. </span>

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Pooja, Pooja. "Impact of COVID-19 and Climate Change on Indian Agriculture." Emerging Trends in Climate Change 1, no. 1 (April 30, 2022): 29–36. http://dx.doi.org/10.18782/2583-4770.104.

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Climate change and pandemics both disrupt global food supply chains on their own. Natural and human disasters, such as droughts, cyclones and pandemics, have become more common in the twenty-first century. Their combined effects can result in severe economic stress and malnutrition, especially in developing nations. Understanding how climate change and pandemics interact and developing strategies to address them both together and separately is critical to ensuring a stable global food supply. This paper examines the consequences of these disasters in terms of food and agriculture and then discusses how they are compounded. We discuss the implication of policy and suggest research topics for the future.

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Prakarsh, Pratyush. "The Impact of Climate Change in India: Challenges and Strategies." International Journal of Research Publication and Reviews 5, no. 4 (April 11, 2024): 6512–17. http://dx.doi.org/10.55248/gengpi.5.0424.1087.

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48

Mengel, Matthias, Simon Treu, Stefan Lange, and Katja Frieler. "ATTRICI v1.1 – counterfactual climate for impact attribution." Geoscientific Model Development 14, no. 8 (August 20, 2021): 5269–84. http://dx.doi.org/10.5194/gmd-14-5269-2021.

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Abstract. Attribution in its general definition aims to quantify drivers of change in a system. According to IPCC Working Group II (WGII) a change in a natural, human or managed system is attributed to climate change by quantifying the difference between the observed state of the system and a counterfactual baseline that characterizes the system's behavior in the absence of climate change, where “climate change refers to any long-term trend in climate, irrespective of its cause” (IPCC, 2014). Impact attribution following this definition remains a challenge because the counterfactual baseline, which characterizes the system behavior in the hypothetical absence of climate change, cannot be observed. Process-based and empirical impact models can fill this gap as they allow us to simulate the counterfactual climate impact baseline. In those simulations, the models are forced by observed direct (human) drivers such as land use changes, changes in water or agricultural management but a counterfactual climate without long-term changes. We here present ATTRICI (ATTRIbuting Climate Impacts), an approach to construct the required counterfactual stationary climate data from observational (factual) climate data. Our method identifies the long-term shifts in the considered daily climate variables that are correlated to global mean temperature change assuming a smooth annual cycle of the associated scaling coefficients for each day of the year. The produced counterfactual climate datasets are used as forcing data within the impact attribution setup of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP3a). Our method preserves the internal variability of the observed data in the sense that factual and counterfactual data for a given day have the same rank in their respective statistical distributions. The associated impact model simulations allow for quantifying the contribution of climate change to observed long-term changes in impact indicators and for quantifying the contribution of the observed trend in climate to the magnitude of individual impact events. Attribution of climate impacts to anthropogenic forcing would need an additional step separating anthropogenic climate forcing from other sources of climate trends, which is not covered by our method.

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Hu, Guozheng, Jocelyn Davies, Qingzhu Gao, and Cunzhu Liang. "Response of ecosystem functions to climate change and implications for sustainable development on the Inner Mongolian Plateau." Rangeland Journal 40, no. 2 (2018): 191. http://dx.doi.org/10.1071/rj18041.

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The responses of ecosystem functions in Inner Mongolian grasslands to climate change have implications for ecosystem services and sustainable development. Research published in two previous Special Issues of The Rangeland Journal shows that recent climate change added to overgrazing and other factors caused increased degradation of Inner Mongolian rangelands whereas on the Qinghai-Tibetan Plateau, climate change tended to ameliorate the impacts of overgrazing. Recent climate change on the Mongolian Plateau involved warming with increasingly variable annual precipitation and decreased summer rainfall. Future climate projections are different, involving modest increases in precipitation and further climate warming. Research published in the current Special Issue shows that precipitation is the climate factor that has the most substantial impact on ecosystem functions in this region and is positively correlated with plant species diversity, ecosystem carbon exchange and Normalised Difference Vegetation Index. Increased flows of provisioning and regulating ecosystem services are expected with future climate change indicating that its impacts will be positive in this region. However, spatial heterogeneity in the environments and climates of Inner Mongolia highlights the risk of over-generalising from local-scale studies and indicates the value of increased attention to meta-analysis and regional scale models. The enhanced flows of ecosystem services from climate change may support sustainable development by promoting recovery of degraded grasslands with flow-on benefits for livelihoods and the regional economy. However, realising these potential benefits will depend on sound landscape management and addressing the risk of herders increasing livestock numbers to take advantage of the extra forage available. Investment in education is important to improve local capacity to adapt rangeland management to climate change, as are policies and strategies that integrate social, economic and ecological considerations and are tailored to specific regions. Gaps in understanding that could be addressed through further research on ecosystem functions include; belowground carbon exchange processes; the impact of increased variability in precipitation; and the impact of different management practices under changed climates.

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Fanggidae, Yudi Riadi, Saktyanu Kristyantoadi Dermoredjo, and Woro Estiningtyas. "Farmer’s perception on climate-related disasters and their impacts to support food farming." E3S Web of Conferences 306 (2021): 02028. http://dx.doi.org/10.1051/e3sconf/202130602028.

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Changes and extreme climate events have an impact on and cause vulnerability to the food crop sub-sector. Extreme climatic events that have a significant impact on food farming are floods, drought, and pest/disease. The purpose of this study was to determine farmers’ perceptions of climate-related disasters and their impacts to support food farming. The survey and interviews were conducted in Leles Sub-District, Garut Regency in 2019, with the number of respondents was 28 people, were selected randomly. The results of the analysis showed that the climate-related disasters that occurred were pest/disease (43%), drought (18%) and floods (11%). The impact of extreme climates at the study site was a reduction in yields ranging from 5% to crop failure (puso). According to farmers, climate-related disasters occur as a result of weather factors, broken channels/embankments, excessive upstream water, closed drains, poor drainage and uneven water allocation to each land. The handling of this climate-related disaster by farmers was still limited. Farmers' perceptions, understanding and abilities in managing and anticipating climate disasters are needed in order to reduce the risk of food farming.

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