Assessing the impact of future climate change on wheat production in Huang-Huai-Hai Plain in China based on GIS and crop model

AbstractChanges in land use and climate are the main drivers of change in soil organic matter contents. We investigated the impact of the largest policy-induced land conversion to arable land, the Virgin Lands Campaign (VLC), from 1954 to 1963, of the massive cropland abandonment after 1990 and of climate change on soil organic carbon (SOC) stocks in steppes of Russia and Kazakhstan. We simulated carbon budgets from the pre-VLC period (1900) until 2100 using a dynamic vegetation model to assess the impacts of observed land-use change as well as future climate and land-use change scenarios. The simulations suggest for the entire VLC region (266 million hectares) that the historic cropland expansion resulted in emissions of 1.6⋅ 1015 g (= 1.6 Pg) carbon between 1950 and 1965 compared to 0.6 Pg in a scenario without the expansion. From 1990 to 2100, climate change alone is projected to cause emissions of about 1.8 (± 1.1) Pg carbon. Hypothetical recultivation of the cropland that has been abandoned after the fall of the Soviet Union until 2050 may cause emissions of 3.5 (± 0.9) Pg carbon until 2100, whereas the abandonment of all cropland until 2050 would lead to sequestration of 1.8 (± 1.2) Pg carbon. For the climate scenarios based on SRES (Special Report on Emission Scenarios) emission pathways, SOC declined only moderately for constant land use but substantially with further cropland expansion. The variation of SOC in response to the climate scenarios was smaller than that in response to the land-use scenarios. This suggests that the effects of land-use change on SOC dynamics may become as relevant as those of future climate change in the Eurasian steppes.

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Predicted Future Benefits for an Endemic Rodent in the Irano-Turanian Region

Climate ◽

10.3390/cli9010016 ◽

2021 ◽

Vol 9 (1) ◽

pp. 16

Author(s):

Suzanna Meeussen ◽

Anouschka Hof

Keyword(s):

Climate Change ◽

Climate Models ◽

Species Distribution Modelling ◽

Geographic Range ◽

Future Climate ◽

Future Climate Change ◽

Distribution Ranges ◽

Bioclimatic Variables ◽

Suitable Area ◽

The Impact

Climate change is expected to have an impact on the geographical distribution ranges of species. Endemic species and those with a restricted geographic range may be especially vulnerable. The Persian jird (Meriones persicus) is an endemic rodent inhabiting the mountainous areas of the Irano-Turanian region, where future desertification may form a threat to the species. In this study, the species distribution modelling algorithm MaxEnt was used to assess the impact of future climate change on the geographic distribution range of the Persian jird. Predictions were made under two Representative Concentration Pathways and five different climate models for the years 2050 and 2070. It was found that both bioclimatic variables and land use variables were important in determining potential suitability of the region for the species to occur. In most cases, the future predictions showed an expansion of the geographic range of the Persian jird which indicates that the species is not under immediate threat. There are however uncertainties with regards to its current range. Predictions may therefore be an over or underestimation of the total suitable area. Further research is thus needed to confirm the current geographic range of the Persian jird to be able to improve assessments of the impact of future climate change.

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Selection of models to describe the temperature-dependent development of Neoleucinodes elegantalis (Lepidoptera: Crambidae) and its application to predict the species voltinism under future climate conditions

Bulletin of Entomological Research ◽

10.1017/s0007485321000195 ◽

2021 ◽

pp. 1-9

Author(s):

Hevellyn Talissa dos Santos ◽

Cesar Augusto Marchioro

Keyword(s):

Climate Change ◽

Linear Model ◽

Future Climate ◽

Future Climate Change ◽

Climate Change Scenarios ◽

Temperature Dependent ◽

Dependent Development ◽

Degree Day ◽

Non Linear ◽

The Impact

Abstract The small tomato borer, Neoleucinodes elegantalis (Guenée, 1854) is a multivoltine pest of tomato and other cultivated solanaceous plants. The knowledge on how N. elegantalis respond to temperature may help in the development of pest management strategies, and in the understanding of the effects of climate change on its voltinism. In this context, this study aimed to select models to describe the temperature-dependent development rate of N. elegantalis and apply the best models to evaluate the impacts of climate change on pest voltinism. Voltinism was estimated with the best fit non-linear model and the degree-day approach using future climate change scenarios representing intermediary and high greenhouse gas emission rates. Two out of the six models assessed showed a good fit to the observed data and accurately estimated the thermal thresholds of N. elegantalis. The degree-day and the non-linear model estimated more generations in the warmer regions and fewer generations in the colder areas, but differences of up to 41% between models were recorded mainly in the warmer regions. In general, both models predicted an increase in the voltinism of N. elegantalis in most of the study area, and this increase was more pronounced in the scenarios with high emission of greenhouse gases. The mathematical model (74.8%) and the location (9.8%) were the factors that mostly contributed to the observed variation in pest voltinism. Our findings highlight the impact of climate change on the voltinism of N. elegantalis and indicate that an increase in its population growth is expected in most regions of the study area.

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An evaluation of the effect of future climate on runoff in the Dongjiang River basin, South China

Proceedings of the International Association of Hydrological Sciences ◽

10.5194/piahs-368-257-2015 ◽

2015 ◽

Vol 368 ◽

pp. 257-262

Author(s):

K. Lin ◽

W. Zhai ◽

S. Huang ◽

Z. Liu

Keyword(s):

Climate Change ◽

River Basin ◽

South China ◽

Annual Runoff ◽

Future Climate ◽

Weather Data ◽

Future Climate Change ◽

Dongjiang River ◽

The Future ◽

The Impact

Abstract. The impact of future climate change on the runoff for the Dongjiang River basin, South China, has been investigated with the Soil and Water Assessment Tool (SWAT). First, the SWAT model was applied in the three sub-basins of the Dongjiang River basin, and calibrated for the period of 1970–1975, and validated for the period of 1976–1985. Then the hydrological response under climate change and land use scenario in the next 40 years (2011–2050) was studied. The future weather data was generated by using the weather generators of SWAT, based on the trend of the observed data series (1966–2005). The results showed that under the future climate change and LUCC scenario, the annual runoff of the three sub-basins all decreased. Its impacts on annual runoff were –6.87%, –6.54%, and –18.16% for the Shuntian, Lantang, and Yuecheng sub-basins respectively, compared with the baseline period 1966–2005. The results of this study could be a reference for regional water resources management since Dongjiang River provides crucial water supplies to Guangdong Province and the District of Hong Kong in China.

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Evaluating the impact of future climate change on irrigated maize production in Kansas

Climate Risk Management ◽

10.1016/j.crm.2017.08.001 ◽

2017 ◽

Vol 17 ◽

pp. 139-154 ◽

Cited By ~ 11

Author(s):

A. Araya ◽

I. Kisekka ◽

X. Lin ◽

P.V. Vara Prasad ◽

P.H. Gowda ◽

...

Keyword(s):

Climate Change ◽

Future Climate ◽

Future Climate Change ◽

Maize Production ◽

The Impact

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A multiproxy reconstruction of vegetation dynamics in the Eastern Alps (Switzerland): combining paleoecological and paleogenetic approaches.

10.5194/egusphere-egu21-14457 ◽

2021 ◽

Author(s):

Laura Dziomber ◽

Lisa Gurtner ◽

Maria Leunda ◽

Christoph Schwörer

Keyword(s):

Climate Change ◽

Ancient Dna ◽

Vegetation Dynamics ◽

Population Decline ◽

Future Climate ◽

Ice Age ◽

Future Climate Change ◽

The Holocene ◽

Plant Remains ◽

The Impact

Current and future climate change is a serious threat to biodiversity and ecosystem stability. With a rapid increase of global temperatures by 1.5&#176;C since the pre-industrial period and a projected warming of 1.5-4&#176;C by the end of this century, plant species are forced to either adapt to these changes, shift their distribution range to higher elevation, or face population decline and extinction. Today, there is an urgent need to better understand the responses of mountain vegetation to climate change in order to predict the consequences of the human-driven global change currently occurring during the Anthropocene and maintain species diversity and ecosystem services. However, most predictions are based on short-term experiments. There is, in general, an insufficient use of longer time scales in conservation biology to understand long-term processes. Palaeoecological data are a great source of information to infer past species responses to changing environmental factors, such as climate or anthropogenic disturbances.The last climate change of a similar magnitude and rate as projected for this century was the transition between the last Ice Age and the Holocene interglacial (ca. 11,700 years ago). By analyzing subfossil plant remains such as plant macrofossils, charcoal and pollen from natural archives, we can study past responses to climate change. However, until recently it was not possible to reconstruct changes at the population level. With the development of new methods to extract ancient DNA (aDNA) from plant remains and next generation DNA-sequencing techniques, we can now infer past population dynamics by analyzing the genetic variation through time. Ancient DNA might also be able to reveal if species could adapt to climatic changes by identifying intraspecific variation of specific genes related to climatic adaptations.We are currently investigating a palaeoecological archive from a high-altitude mountain lake, Lai da Vons (1991 m a.s.l), situated in Eastern Switzerland. We are presenting preliminary macrofossil, pollen and charcoal results to reconstruct local to regional vegetation and fire dynamics with high chronological precision and resolution. In a next step, we will use novel molecular methods, in order to track adaptive and neutral genetic diversity through the Holocene by analyzing aDNA from subfossil conifer needles. The overarching goal of this large-scale, multiproxy study is to better understand past vegetation dynamics and the impact of future climate change on plants at multiple scales; from the genetic to the community level.&#160;

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How to model the impact of climate change on vector-borne diseases?

10.1079/9781789249637.0004 ◽

2021 ◽

pp. 26-31

Author(s):

Cyril Caminade

Keyword(s):

Climate Change ◽

Risk Assessment ◽

Mathematical Models ◽

Future Climate ◽

Future Climate Change ◽

Climate Change Risk ◽

Vector Borne Diseases ◽

Impact Of Climate Change ◽

Vector Borne ◽

The Impact

Abstract This expert opinion provides an overview of mathematical models that have been used to assess the impact of climate change on ticks and tick-borne diseases, ways forward in terms of improving models for the recent context and broad guidelines for conducting future climate change risk assessment.

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The Impact of Possible Decadal-Scale Cold Waves on Viticulture over Europe in a Context of Global Warming

Agronomy ◽

10.3390/agronomy9070397 ◽

2019 ◽

Vol 9 (7) ◽

pp. 397 ◽

Cited By ~ 1

Author(s):

Giovanni Sgubin ◽

Didier Swingedouw ◽

Iñaki García de Cortázar-Atauri ◽

Nathalie Ollat ◽

Cornelis van Leeuwen

Keyword(s):

Climate Change ◽

21St Century ◽

Developmental Stages ◽

Future Climate ◽

Future Climate Change ◽

Cold Waves ◽

Decadal Scale ◽

Ensemble Mean ◽

The Impact

A comprehensive analysis of all the possible impacts of future climate change is crucial for strategic plans of adaptation for viticulture. Assessments of future climate are generally based on the ensemble mean of state-of-the-art climate model projections, which prefigures a gradual warming over Europe for the 21st century. However, a few models project single or multiple O(10) year temperature drops over the North Atlantic due to a collapsing subpolar gyre (SPG) oceanic convection. The occurrence of these decadal-scale “cold waves” may have strong repercussions over the continent, yet their actual impact is ruled out in a multi-model ensemble mean analysis. Here, we investigate these potential implications for viticulture over Europe by coupling dynamical downscaled EUR-CORDEX temperature projections for the representative concentration pathways (RCP)4.5 scenario from seven different climate models—including CSIRO-Mk3-6-0 exhibiting a SPG convection collapse—with three different phenological models simulating the main developmental stages of the grapevine. The 21st century temperature increase projected by all the models leads to an anticipation of all the developmental stages of the grapevine, shifting the optimal region for a given grapevine variety northward, and making climatic conditions suitable for high-quality wine production in some European regions that are currently not. However, in the CSIRO-Mk3-6-0 model, this long-term warming trend is suddenly interrupted by decadal-scale cold waves, abruptly pushing the suitability pattern back to conditions that are very similar to the present. These findings are crucial for winemakers in the evaluation of proper strategies to face climate change, and, overall, provide additional information for long-term plans of adaptation, which, so far, are mainly oriented towards the possibility of continuous warming conditions.

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Future Climate Change Will Have a Positive Effect on Populus davidiana in China

Forests ◽

10.3390/f10121120 ◽

2019 ◽

Vol 10 (12) ◽

pp. 1120 ◽

Cited By ~ 1

Author(s):

Jie Li ◽

Guan Liu ◽

Qi Lu ◽

Yanru Zhang ◽

Guoqing Li ◽

...

Keyword(s):

Climate Change ◽

Human Disturbance ◽

Vulnerability Index ◽

Future Climate ◽

Future Climate Change ◽

Climate Change Scenarios ◽

Degree Of Protection ◽

Populus Davidiana ◽

The Impact ◽

Degree Of Fragmentation

Since climate change significantly affects global biodiversity, a reasonable assessment of the vulnerability of species in response to climate change is crucial for conservation. Most existing methods estimate the impact of climate change on the vulnerability of species by projecting the change of a species’ distribution range. This single-component evaluation ignores the impact of other components on vulnerability. In this study, Populus davidiana (David’s aspen), a tree species widely used in afforestation projects, was selected as the research subject under four future climate change scenarios (representative concentration pathway (RCP)2.6, RCP4.5, RCP6.0, and RCP8.5). Exposure components of range change as well as the degree of fragmentation, degree of human disturbance, and degree of protection were considered simultaneously. Then, a multicomponent vulnerability index was established to assess the effect of future climate change on the vulnerability of P. davidiana in China. The results show that the distribution range of P. davidiana will expand to the northwest of China under future climate change scenarios, which will lead to an increased degree of protection and a decreased degree of human disturbance, and hardly any change in the degree of fragmentation. The multicomponent vulnerability index values of P. davidiana under the four emission scenarios are all positive by 2070, ranging from 14.05 to 38.18, which fully indicates that future climate change will be conducive to the survival of P. davidiana. This study provides a reference for the development of conservation strategies for the species as well as a methodological case study for multicomponent assessment of species vulnerability to future climate change.

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