scholarly journals Dryland ecohydrology and climate change: critical issues and technical advances

2012 ◽  
Vol 9 (4) ◽  
pp. 4777-4825 ◽  
Author(s):  
L. Wang ◽  
P. D'Odorico ◽  
J. P. Evans ◽  
D. Eldridge ◽  
M. F. McCabe ◽  
...  
Keyword(s):  
Climate Change ◽  
Land Surface ◽  
Net Primary Productivity ◽  
Tight Coupling ◽  
Technological Advances ◽  
Biophysical Processes ◽  
Critical Issues ◽  
Technical Advances ◽  
Managed Ecosystems ◽  
Agriculture And Food

Abstract. Drylands cover about 40% of the terrestrial land surface and account for approximately 40% of global net primary productivity. Water is fundamental to the biophysical processes that sustain ecosystem function and food production, particularly in drylands, where a tight coupling exists between water resource availability and ecosystem productivity, surface energy balance, and biogeochemical cycles. Currently, drylands support at least 2 billion people and comprise both natural and managed ecosystems. In this synthesis, we identify some current critical issues in the understanding of dryland systems and discuss how arid and semiarid environments are responding to the changes in climate and land use. Specifically, we focus on dryland agriculture and food security, dryland population growth, desertification, shrub encroachment and dryland development issues as factors of change requiring increased understanding and management. We also review recent technical advances in the quantitative assessment of human versus climate change related drivers of desertification, evapotranspiration partitioning using field deployable stable water isotope systems and the remote sensing of key ecohydrological processes. These technological advances provide new tools that assist in addressing major critical issues in dryland ecohydrology under climate change

scholarly journals Dryland ecohydrology and climate change: critical issues and technical advances

2012 ◽  
Vol 16 (8) ◽  
pp. 2585-2603 ◽  
Author(s):  
L. Wang ◽  
P. D'Odorico ◽  
J. P. Evans ◽  
D. J. Eldridge ◽  
M. F. McCabe ◽  
...  
Keyword(s):  
Climate Change ◽  
Land Surface ◽  
Net Primary Productivity ◽  
Water Security ◽  
Water Dynamics ◽  
Tight Coupling ◽  
Technological Advances ◽  
Critical Issues ◽  
Technical Advances ◽  
Vegetation Water

Abstract. Drylands cover about 40% of the terrestrial land surface and account for approximately 40% of global net primary productivity. Water is fundamental to the biophysical processes that sustain ecosystem function and food production, particularly in drylands where a tight coupling exists between ecosystem productivity, surface energy balance, biogeochemical cycles, and water resource availability. Currently, drylands support at least 2 billion people and comprise both natural and managed ecosystems. In this synthesis, we identify some current critical issues in the understanding of dryland systems and discuss how arid and semiarid environments are responding to the changes in climate and land use. The issues range from societal aspects such as rapid population growth, the resulting food and water security, and development issues, to natural aspects such as ecohydrological consequences of bush encroachment and the causes of desertification. To improve current understanding and inform upon the needed research efforts to address these critical issues, we identify some recent technical advances in terms of monitoring dryland water dynamics, water budget and vegetation water use, with a focus on the use of stable isotopes and remote sensing. These technological advances provide new tools that assist in addressing critical issues in dryland ecohydrology under climate change.

scholarly journals Spatiotemporal Pattern of Vegetation Ecology Quality and Its Response to Climate Change between 2000–2017 in China

2021 ◽  
Vol 13 (3) ◽  
pp. 1419
Author(s):  
Chao Li ◽  
Xuemei Li ◽  
Dongliang Luo ◽  
Yi He ◽  
Fangfang Chen ◽  
...  
Keyword(s):  
Climate Change ◽  
Land Surface ◽  
Net Primary Productivity ◽  
Temporal Distribution ◽  
Principal Component ◽  
Spatiotemporal Pattern ◽  
Vegetation Ecology ◽  
Area Index ◽  
Important Indicator ◽  
Climate Zone

Vegetation ecology quality (VEQ) is an important indicator for evaluating environmental quality and ecosystem balance. The VEQ in China has changed significantly with global warming and gradual intensification of human activities. It is crucial to research the spatiotemporal characteristics of VEQ and its response to climate change in China. However, most previous studies used a single indicator to reflect VEQ in China, which needs to combine the effects of multiple indicators to reveal its variation characteristics. Based on the six remote sensing indicators, fractional vegetation cover, leaf area index, net primary productivity, vegetation wetness, land surface temperature, and water use efficiency of vegetation, the vegetation ecology quality index (VEQI) was constructed by principal component analysis in this paper. The spatio-temporal distribution and trend characteristic of VEQ within disparate ecosystems in China from 2000 to 2017 were studied. How continuous climate change affected VEQ over time was also analyzed. The results showed that the differences in spatial distribution between the excellent and poor VEQ regions were significant, with the proportion of excellent regions being much larger than that of poor regions. The VEQ has been ameliorated continuously during the past 18 years. Simultaneously, the VEQ would be ameliorated persistently in the future. Differences in the distribution and variation trend of VEQ occurred in disparate ecosystems. The VEQ of broadleaved forest was the best, while that of shrubs and arctic grassland ecosystem was the worst. The VEQ characteristics were different in disparate climate zones, with the best VEQ in the tropical monsoon climate zone and the worst in the plateau mountain climate zone. Except for desert vegetation and paddy field-dominated vegetation, VEQ of other ecosystems were significantly negatively correlated with altitude. Generally, moderate precipitation and temperature were favorable to improve VEQ in China. VEQ during the peak growing season was negatively correlated with temperature and positively correlated with precipitation, and the influence of precipitation on VEQ was stronger than that of temperature. Our results can be used to enact relevant management measures and policies.

2018 Nobel Economics Prize: Integrating Climate Change Measures into Sustainable Economic Growth

2018 ◽  
Vol 34 (4) ◽  
Author(s):  
Nguyen Thi Thuc An ◽  
Dau Kieu Ngoc Anh
Keyword(s):  
Climate Change ◽  
Economic Growth ◽  
Endogenous Growth ◽  
Environmental Issues ◽  
Growth Theory ◽  
Endogenous Growth Theory ◽  
Technological Advances ◽  
Academy Of Sciences ◽  
Sustainable Economic Growth

The 2018 Nobel Economics Prize was awarded to two American economists - William D. Nordhaus and Paul M. Romer - who designed methods for better assessing environmental issues and technological advances on growth. This year’s Laureates, Nordhaus was the first person to create an intergrated model to assess interactions between society and nature and Romer laid the foundation for what is now called endogenous growth theory. According to the Swedish Royal Academy of Sciences, these two macroeconomists’ research have helped “significantly broaden the scope of economic analysis by constructing models that explain how the market economy interacts with nature and knowledge” which integrates climate change measures into long-term sustainable economic growth. Keywords Nobel in economics, William D. Nordhaus, Paul M. Romer, climate change, endogenous growth theory, economic growth References [1] Y Vân (2018), “Lý lịch 'khủng' của hai nhà khoa học vừa giành giải Nobel Kinh tế 2018”, Vietnambiz, đăng tải ngày 08/10/2018, https://vietnambiz.vn/ly-lich-khung-cua-hai-nha-khoa-hoc-vua-gianh-giai-nobel-kinh-te-2018-95776.html[2] Jonas O. Bergman, Rich Miller (2018), “Nordhaus, Romer Win Nobel for Thinking on Climate, Innovation”, đăng tải ngày 8/10/2018, https://www.bloomberg.com/news/articles/2018-10-08/nordhaus-romer-win-2018-nobel-prize-in-economic-sciences [3] Antonin Pottier (2018), “Giải Nobel” William Nordhaus có thật sự nghiêm túc?”, Nguyễn Đôn Phước dịch, đăng tải ngày 11/10/2018, http://www.phantichkinhte123.com/2018/10/giai-nobel-william-nordhaus-co-that-su.html[4] Thăng Điệp (2018), “Giải Nobel kinh tế 2018 về tay hai người Mỹ”, đăng tải ngày 8/10/2018, http://vneconomy.vn/giai-nobel-kinh-te-2018-ve-tay-hai-nguoi-my-20181008185809239.htm[5] Lars P. Syll (2018), “Cuối cùng - Paul Romer cũng có được giải thưởng Nobel”, Huỳnh Thiện Quốc Việt dịch, đăng tải ngày 14/10/2018, http://www.phantichkinhte123.com/2018/10/cuoi-cung-paul-romer-cung-co-uoc-giai.html[6] Phương Võ (2018), “Nobel Kinh tế 2018: Chạm tới bài toán khó của thời đại”, đăng tải ngày 9/10/2018, https://nld.com.vn/thoi-su-quoc-te/nobel-kinh-te-2018-cham-toi-bai-toan-kho-cua-thoi-dai-20181008221734228.htm[7] Đông Phong (2018), “Nobel Kinh tế cho giải pháp phát triển bền vững và phúc lợi người dân”, đăng tải ngày 8/10/2018, https://news.zing.vn/nobel-kinh-te-cho-giai-phap-phat-trien-ben-vung-va-phuc-loi-nguoi-dan-post882860.html[8] Thanh Trúc (2018), “Giải Nobel kinh tế 2018: Thay đổi tư duy về biến đổi khí hậu”, https://tusach.thuvienkhoahoc.com/wiki/Gi%E1%BA%A3i_Nobel_kinh_t%E1%BA%BF_2018:_Thay_%C4%91%E1%BB%95i_t%C6%B0_duy_v%E1%BB%81_bi%E1%BA%BFn_%C4%91%E1%BB%95i_kh%C3%AD_h%E1%BA%ADu[9] Cẩm Anh (2018), “Nobel kinh tế 2018: Lời giải cho tăng trưởng kinh tế bền vững”, đăng tải ngày 11/10/2018, http://enternews.vn/nobel-kinh-te-2018-loi-giai-cho-tang-truong-kinh-te-ben-vung-137600.html.

scholarly journals Shared socioeconomic pathways for climate change research in Finland: co-developing extended SSP narratives for agriculture

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Heikki S. Lehtonen ◽  
Jyrki Aakkula ◽  
Stefan Fronzek ◽  
Janne Helin ◽  
Mikael Hildén ◽  
...  
Keyword(s):  
Climate Change ◽  
National Level ◽  
Global Scale ◽  
Change Scenario ◽  
Policy Makers ◽  
Climate Change Research ◽  
Food And Agriculture ◽  
Agriculture And Food ◽  
Farm Subsidies

AbstractShared socioeconomic pathways (SSPs), developed at global scale, comprise narrative descriptions and quantifications of future world developments that are intended for climate change scenario analysis. However, their extension to national and regional scales can be challenging. Here, we present SSP narratives co-developed with stakeholders for the agriculture and food sector in Finland. These are derived from intensive discussions at a workshop attended by approximately 39 participants offering a range of sectoral perspectives. Using general background descriptions of the SSPs for Europe, facilitated discussions were held in parallel for each of four SSPs reflecting very different contexts for the development of the sector up to 2050 and beyond. Discussions focused on five themes from the perspectives of consumers, producers and policy-makers, included a joint final session and allowed for post-workshop feedback. Results reflect careful sector-based, national-level interpretations of the global SSPs from which we have constructed consensus narratives. Our results also show important critical remarks and minority viewpoints. Interesting features of the Finnish narratives compared to the global SSP narratives include greater emphasis on environmental quality; significant land abandonment in SSPs with reduced livestock production and increased plant-based diets; continued need for some farm subsidies across all SSPs and opportunities for diversifying domestic production under scenarios of restricted trade. Our results can contribute to the development of more detailed national long-term scenarios for food and agriculture that are both relevant for local stakeholders and researchers as well as being consistent with global scenarios being applied internationally.

scholarly journals Consumer willingness-to-pay for restaurant surcharges to reduce carbon emissions: default and information effects

2021 ◽  
pp. 1-29
Author(s):  
Dede Long ◽  
Grant H. West ◽  
Rodolfo M. Nayga
Keyword(s):  
Climate Change ◽  
Willingness To Pay ◽  
Contingent Valuation ◽  
Carbon Emissions ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Dichotomous Choice ◽  
Carbon Reduction ◽  
The Mean ◽  
Agriculture And Food

Abstract The agriculture and food sectors contribute significantly to greenhouse gas emissions. About 15 percent of food-related carbon emissions are channeled through restaurants. Using a contingent valuation (CV) method with double-bounded dichotomous choice (DBDC) questions, this article investigates U.S. consumers’ willingness to pay (WTP) for an optional restaurant surcharge in support of carbon emission reduction programs. The mean estimated WTP for a surcharge is 6.05 percent of an average restaurant check, while the median WTP is 3.64 percent. Our results show that individuals have a higher WTP when the surcharge is automatically added to restaurant checks. We also find that an information nudge—a short climate change script—significantly increases WTP. Additionally, our results demonstrate that there is heterogeneity in treatment effects across consumers’ age, environmental awareness, and economic views. Our findings suggest that a surcharge program could transfer a meaningful amount of the agricultural carbon reduction burden to consumers that farmers currently shoulder.

scholarly journals Climate pattern-scaling set for an ensemble of 22 GCMs – adding uncertainty to the IMOGEN version 2.0 impact system

2018 ◽  
Vol 11 (2) ◽  
pp. 541-560 ◽  
Author(s):  
Przemyslaw Zelazowski ◽  
Chris Huntingford ◽  
Lina M. Mercado ◽  
Nathalie Schaller
Keyword(s):  
Climate Change ◽  
Relative Humidity ◽  
Land Surface ◽  
Land Surface Model ◽  
Individual Performance ◽  
Balance Model ◽  
Surface Model ◽  
Near Surface ◽  
Global Circulation Models ◽  
Version 2.0

Abstract. Global circulation models (GCMs) are the best tool to understand climate change, as they attempt to represent all the important Earth system processes, including anthropogenic perturbation through fossil fuel burning. However, GCMs are computationally very expensive, which limits the number of simulations that can be made. Pattern scaling is an emulation technique that takes advantage of the fact that local and seasonal changes in surface climate are often approximately linear in the rate of warming over land and across the globe. This allows interpolation away from a limited number of available GCM simulations, to assess alternative future emissions scenarios. In this paper, we present a climate pattern-scaling set consisting of spatial climate change patterns along with parameters for an energy-balance model that calculates the amount of global warming. The set, available for download, is derived from 22 GCMs of the WCRP CMIP3 database, setting the basis for similar eventual pattern development for the CMIP5 and forthcoming CMIP6 ensemble. Critically, it extends the use of the IMOGEN (Integrated Model Of Global Effects of climatic aNomalies) framework to enable scanning across full uncertainty in GCMs for impact studies. Across models, the presented climate patterns represent consistent global mean trends, with a maximum of 4 (out of 22) GCMs exhibiting the opposite sign to the global trend per variable (relative humidity). The described new climate regimes are generally warmer, wetter (but with less snowfall), cloudier and windier, and have decreased relative humidity. Overall, when averaging individual performance across all variables, and without considering co-variance, the patterns explain one-third of regional change in decadal averages (mean percentage variance explained, PVE, 34.25±5.21), but the signal in some models exhibits much more linearity (e.g. MIROC3.2(hires): 41.53) than in others (GISS_ER: 22.67). The two most often considered variables, near-surface temperature and precipitation, have a PVE of 85.44±4.37 and 14.98±4.61, respectively. We also provide an example assessment of a terrestrial impact (changes in mean runoff) and compare projections by the IMOGEN system, which has one land surface model, against direct GCM outputs, which all have alternative representations of land functioning. The latter is noted as an additional source of uncertainty. Finally, current and potential future applications of the IMOGEN version 2.0 modelling system in the areas of ecosystem modelling and climate change impact assessment are presented and discussed.

scholarly journals Effects of climatic factors on the net primary productivity in the source region of Yangtze River, China

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Zhe Yuan ◽  
Yongqiang Wang ◽  
Jijun Xu ◽  
Zhiguang Wu
Keyword(s):  
Climate Change ◽  
Primary Productivity ◽  
Yangtze River ◽  
Net Primary Productivity ◽  
Climatic Factors ◽  
Source Region ◽  
Primary Reason ◽  
Vegetation Types ◽  
Temperature And Precipitation ◽  
Increasing Trend

AbstractThe ecosystem of the Source Region of Yangtze River (SRYR) is highly susceptible to climate change. In this study, the spatial–temporal variation of NPP from 2000 to 2014 was analyzed, using outputs of Carnegie–Ames–Stanford Approach model. Then the correlation characteristics of NPP and climatic factors were evaluated. The results indicate that: (1) The average NPP in the SRYR is 100.0 gC/m2 from 2000 to 2014, and it shows an increasing trend from northwest to southeast. The responses of NPP to altitude varied among the regions with the altitude below 3500 m, between 3500 to 4500 m and above 4500 m, which could be attributed to the altitude associated variations of climatic factors and vegetation types; (2) The total NPP of SRYR increased by 0.18 TgC per year in the context of the warmer and wetter climate during 2000–2014. The NPP was significantly and positively correlated with annual temperature and precipitation at interannual time scales. Temperature in February, March, May and September make greater contribution to NPP than that in other months. And precipitation in July played a more crucial role in influencing NPP than that in other months; (3) Climatic factors caused the NPP to increase in most of the SRYR. Impacts of human activities were concentrated mainly in downstream region and is the primary reason for declines in NPP.

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