Agricultural Adaptation to Climate Change in China

Tian, Zhan; Xu, Hanqing; Zhong, Honglin; Sun, Lei; Liu, Junguo

doi:10.1007/978-981-13-9235-1_8

Cited by 4 publications

(3 citation statements)

References 76 publications

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“…However, the share of GHG emissions from agriculture is small, and agricultural mitigation measures in Northwest China are far from sufficient to change the trend of climate. Therefore, adaptation should be the primary strategy in Northwest China' agricultural sector to take full advantage of the positive impacts of climate change and minimize the negative impacts (62)(63)(64).…”

Section: Discussionmentioning

confidence: 99%

Sustainable Agriculture Development in Northwest China Under the Impacts of Global Climate Change

Liu

Li²,

Wang

et al. 2021

Front. Nutr.

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Northwest China has one of the most vulnerable agricultural systems in the context of global climate change. We argue that sustainable agriculture development in this region requires a systematic approach toward climate change adaptation, and propose a schematic framework for strategic thinking. We first briefly review the impacts of climate change on various agricultural environmental factors, including light, temperature, water, and atmosphere, and explores the effects of climate change on agricultural practices, such as disaster response, pests and weeds control, fertilizer application, and species selection. The study shows that climate change has increased extreme climate disasters such as drought and heat waves, and has expanded the scope and severity of pests and weeds, which in turn requires a series of changes in farming practices. These effects have profound impacts on farmland management, as well as the sustainability of the agricultural system. Based on the findings, the authors argue that the key adaptation strategies should include: (1) optimizing the geographic distribution of agriculture, (2) cultivating new crop varieties that can better adapt to the changing environment, (3) adjusting cropping timing and structure, (4) developing water-saving irrigation systems, (5) improving capacities of disaster prevention and mitigation at both household and government levels, and (6) strengthening the sciences, technology, and human resources to mitigate the adverse effects of climate change.

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Section: Discussionmentioning

confidence: 99%

Sustainable Agriculture Development in Northwest China Under the Impacts of Global Climate Change

Liu

Li²,

Wang

et al. 2021

Front. Nutr.

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“…In the human-land relationship system, human have subjective initiative [27], and are the premise of economic and social development. All development is man-based, while land can carry all things and has a certain capacity to accommodate.…”

Section: Evaluation Standard Evaluation Index Weightmentioning

confidence: 99%

Analysis of Spatial and Temporal Variation and Influencing Factors of Rural Land Dependence from the Perspective of Human-Land Relationship

Lin

Zhao

et al. 2023

Sustainability

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Face the issues of rural youth outflow, increase of aging population, and rural decline, this research explored the spatiotemporal evolution characteristics and influencing factors of the rural human-land relationship using the quantification index of rural land dependence. The research defines the concept of rural land dependence and constructs an evaluation index system for rural land dependence. By using the entropy weight method, the research quantitatively measures the high and low levels of rural land dependence in 30 provincial administrative units in China from 2006 to 2020. Besides, the GIS spatial analysis and geodetector are used to explore and analyze the spatial-temporal pattern and influencing factors of China’s land dependence. The results show that: (1) Temporal evolution: Since 2006, the level of rural land dependence in China has shown a decreasing trend, with economic dependence > population dependence > spatial dependence in terms of partial dependence differences. (2) Spatial pattern: During the study period, there are regional differences in the spatial distribution of rural land dependence in China, with a “high in the southwest and low in the eastern coastal areas” characteristic. The distribution of high-dependence areas has changed from being concentrated to being dispersed, while the distribution of low-dependence areas has changed from being dispersed to being concentrated. (3) Influencing factors analysis: From 2006 to 2018, the number of large agricultural employees is the main influencing factor of land dependence. With the decrease of population dependence and the increase of spatial dependence indexes, as well as the influence of the social environment, the area of rural areas and the total area of the region became the main influencing factor of land dependence from 2018 to 2020. The results can provide scientific basis for deepening the research on rural land use efficiency, and also provide decision support for promoting rural sustainable development and achieving common prosperity.

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“…The international research community is largely focused on the impact of climate change on the agricultural sector of economy, as it is closely linked to the food security of the population [11][12][13][14][15][16][17][18][19][20]. Forecasts of future climate are required for effective decision making by those involved in agriculture, but such forecasts are accompanied by uncertainties that are likely to continue into the future [11,21].…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Sensitivity of Growing Degree Days as an Agro-Climatic Indicator of the Climate Change Impact: A Case Study of the Russian Far East

Grigorieva

2020

Atmosphere

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Climate is a key factor in agriculture, but we are unable to adequately predict future climates. Although some studies have addressed the short and long-run impacts of climate change on agriculture, few of them specifically focused on the analysis of its thermal component. Climatic regions with an extreme thermal range are a special case, as seasonal contrasts complicate the picture. Based on the above, the purpose of the paper is twofold. First, we review methods and indices used for the estimation of changes in the thermal component of the climate and demonstrate the usefulness of a sensitivity assessment methodology that gives some indication of the likely spatial extent of areas of high or low sensitivity to climate change and the size of the potential impact of that change, which is specifically beneficial in regions with high temperature extremes. Secondly, we constructed a composite indicator, called the Growing Degree Day Sensitivity Index (GDDSI) and defined as the percentage change in Growing Degree Day (GDD) for warming scenarios +1, +2 and +3 °C. GDDs were calculated for threshold base air temperatures of 0, 5, 10 and 15 °C, and a high-temperature limit of 30 °C. A GDD sensitivity analysis was applied to the thermally extreme climate of the Russian Far East. We analyzed the data of 50 weather stations across the study region over the period 1966–2017. The results show a strong GDDSI north-to-south gradient. In most cases, the sensitivity does not increase significantly as the warming rate increases. The higher the base threshold, the higher the sensitivity: GDDs with a threshold at 15 °C had the highest sensitivity in the far north of the study area where conditions are currently marginal for crop growth. The sensitivity analysis circumnavigates the difficulty of uncertainty in knowing what future climate to expect and informs planning decisions. The mapped results are useful for identifying areas of high sensitivity to climate change as well as the magnitude of the potential impact of that change.

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Agricultural Adaptation to Climate Change in China

Cited by 4 publications

References 76 publications

Sustainable Agriculture Development in Northwest China Under the Impacts of Global Climate Change

Sustainable Agriculture Development in Northwest China Under the Impacts of Global Climate Change

Analysis of Spatial and Temporal Variation and Influencing Factors of Rural Land Dependence from the Perspective of Human-Land Relationship

Evaluating the Sensitivity of Growing Degree Days as an Agro-Climatic Indicator of the Climate Change Impact: A Case Study of the Russian Far East

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