Could phenological records from Chinese poems of the Tang and Song dynasties (618–1279 CE) be reliable evidence of past climate changes?
- 1School of Biological and Environmental Engineering, Xi'an University, Xi'an, 710065, China
- 2Faculty of Geographical Science, Key Laboratory of Environment Change and Natural Disaster MOE, Beijing Normal University, Beijing, 100875, China
- 3Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Science (CAS), Beijing, 100101, China
Correspondence: Zexing Tao (email@example.com)
Phenological records in historical documents have been proven to be of unique value for reconstructing past climate changes. As a literary genre, poetry reached its peak in the Tang and Song dynasties (618–1279 CE) in China. Sources from this period could provide abundant phenological records in the absence of phenological observations. However, the reliability of phenological records from poems, as well as their processing methods, remains to be comprehensively summarized and discussed. In this paper, after introducing the certainties and uncertainties of phenological information in poems, the key processing steps and methods for deriving phenological records from poems and using them in past climate change studies are discussed: (1) two principles, namely the principle of conservatism and the principle of personal experience, should be followed to reduce uncertainties; (2) the phenological records in poems need to be filtered according to the types of poems, background information, rhetorical devices, spatial representations, and human influence; (3) animals and plants are identified at the species level according to their modern distributions and the sequences of different phenophases; (4) phenophases in poems are identified on the basis of modern observation criteria; (5) the dates and sites for the phenophases in poems are confirmed from background information and related studies. As a case study, 86 phenological records from poems of the Tang Dynasty in the Guanzhong region in China were extracted to reconstruct annual temperature anomalies in specific years in the period between 600 and 900 CE. Following this, the reconstruction from poems was compared with relevant reconstructions in published studies to demonstrate the validity and reliability of phenological records from poems in studies of past climate changes. This paper reveals that the phenological records from poems could be useful evidence of past climate changes after being scientifically processed. This could provide an important reference for future studies in this domain, in both principle and methodology, pursuant of extracting and applying phenological records from poems for larger areas and different periods in Chinese history.
Phenology is the study of recurring biological life cycle stages and the seasonality of non-biological events triggered by environmental changes (Schwartz, 2003; Richardson et al., 2013). Phenological data derived from historical documents have been widely used as proxies to reflect past climatic changes around the world, especially in Europe and Asia. The records of grape harvest dates (Chuine et al., 2004; Meier et al., 2007; Maurer et al., 2009; Daux et al., 2012; Možný et al., 2016; Labbé et al., 2019), grain harvest dates (Nordli, 2001; Kiss et al., 2011; Wetter and Pfister, 2011; Možný et al., 2012; Pribyl et al., 2012; Brázdil et al., 2018), and ice break-up dates (Tarand and Nordli, 2001; Nordli et al., 2007; Etien et al., 2008) have been adopted to reconstruct past climate changes in Europe. In Japan, cherry blossom records have been used to reconstruct spring temperatures dating back to the medieval period (800–1400 CE) (Aono and Kazui, 2008; Aono and Saito, 2010; Aono, 2015).
In China, occasional phenological observations began around 2000 years ago, and they have been recorded in various documents. These documents can be further divided into sources produced by institutions and sources generated by individuals. The former includes Chinese classical documents and local gazettes, as well as the archives of the Qing Dynasty (1644–1911 CE) and the Republic of China (1912–1949 CE) (Ge et al., 2008). Based on the documents produced by institutions, abundant phenological records have been extracted to reconstruct past climate changes in specific regions and periods in China (Chu, 1973; Ge et al., 2003; Zheng et al., 2005; Hao et al., 2009; Liu et al., 2016; Fei, 2019). However, the phenophases recorded in these documents are mainly non-organic, such as “ice phenology” (the time of freezing and opening of water-bodies), “snow phenology” (the dates of first and last snowfall), and “frost phenology” (the dates of first and last frosts). The limited amount of organic phenophases that do occur in these documents are principally “agricultural phenology” (e.g., the commencement dates of spring cultivation, winter wheat harvest in summer, and millet harvest in autumn). Therefore, it is difficult to compare the phenological data from documents produced by institutions with those from modern observations, which largely focus on the seasonal changes of natural plants. In contrast, the phenological information in personal documents (mostly private diaries) is much more varied and includes records about both non-organic and organic events, such as flowers blossoming, leaf expansion and discoloration, and fruit ripening (Ge et al., 2008; Liu et al., 2014; Zheng et al., 2014). Using phenological evidence from diaries, many studies have reconstructed past climate changes in different regions and periods in China (Fang et al., 2005; Xiao et al., 2008; Ge et al., 2014; Wang et al., 2015; Zheng et al., 2018). However, the diaries were most abundant within the past 800 years, especially in the Ming Dynasty (1368–1644 CE), the Qing Dynasty, and the Republic of China. The earliest diary found in China so far (The Diary of Genzi-Xinchou by Lv Zuqian) only dates back to 1180 CE (Ge et al., 2018). Thus, there is a lack of phenological records on natural plants and animals before the 1180s.
China enjoyed unprecedented economic prosperity, political stability, and a relatively open society in the Tang and Song dynasties (618–1279 CE). The Imperial Examination System, a civil service examination system in imperial China for selecting candidates for the state bureaucracy, had gradually improved, and poetry was incorporated into the examination subjects during this period (Zhang, 2015). In these contexts, as a literary genre, poetry reached its peak during the Tang and Song dynasties in ancient China. A very diverse array of people in the Tang and Song dynasties, from emperors to civilians, preferred to record their thoughts and daily lives in poems. Abundant phenological information that was provided in poems of the Tang and Song dynasties is a valuable source for phenological records in this period.
Although many studies have indicated that there was a Medieval Warm Period (MWP) in China consistent with many other parts of the world, disputes still exist regarding the start and end time, regional differences, and the extent of warming in different periods of the MWP in China (Zhang et al., 2003; Yang et al., 2007; Ge et al., 2013). The period of the Tang and Song dynasties coincided with the MWP in China. More reconstruction studies of the Tang and Song dynasties based on high-resolution proxies will contribute to a better understanding of these controversial issues. Extracting phenological records from poems of the Tang and Song dynasties is an effective way to improve the resolution of proxy data in this period. However, it is an extraordinary challenge to extract phenological records from poems due to the use of rhetorical devices, the limitations of poetic rules and forms, and the conventions of rhymes and sounds in the poems. In addition, the phenological evidence in poems does not always follow modern criteria, which could lead to considerable uncertainties if the real phenophases in poems were not properly identified.
Chu (1973) laid the foundation for climate reconstructions based on documents and has been highly praised worldwide for his efforts. Although a few subsequent studies (Man, 1998; Ge et al., 2010) adopted phenological evidence from poems to reconstruct climate changes, further systematic and specialized research on deriving phenological records from poems of the Tang and Song dynasties still needs to be carried out.
In this study, we first introduce the characteristics of phenological information in poems, including its accessibility and inherent uncertainties. We then put forward basic principles and key processing steps for extracting phenological records from poems of the Tang and Song dynasties. We also compare phenological records from poems with other proxies in the reconstruction of past climate changes in the Guanzhong region of central China as a case study. Our overall objectives are to demonstrate the validity and reliability of phenological records from poems as a proxy of past climate changes and to provide a reference, both theoretical and methodological, for the extraction and application of phenological records from poems.
As a special carrier of historical phenological information, poetry has both certainties and uncertainties vis-à-vis applications to past climate changes. For example, in the study by Chu (1973), which laid the foundation for climate reconstructions based on documents, 17 pieces of evidence were from poems and 11 of them were phenological information of the Tang and Song dynasties. Most of the phenological information from poems used by Chu (1973) was valid and the reconstructed results have been verified by other studies, which demonstrates the certainties of phenological records from poetry. However, other phenological evidence such as the orange trees in the Guanzhong region used by Chu (1973) may be less certain. For instance, some studies have pointed out that the orange trees in the Guanzhong region recorded in the poems of the Tang Dynasty (618–907 CE) were transplanted from other places and were taken care of by specialized personnel in the Imperial Palace (Man, 1990; Mu, 1996). Therefore, the certainties and uncertainties of phenological information in poems from the Tang and Song dynasties need to be analyzed before being used in studies of past climate changes.
2.1 The certainties of phenological information from poems
Poetry is one of the major genres of Chinese literature. It expresses peoples' social lives and spiritual worlds with concise and emotive words according to the requirements of certain syllables, tones, and rhythms. The poetry of the Tang and Song dynasties represents the highest level of poetry development and has become a treasure of Chinese traditional literature. People in the Tang and Song dynasties exhibited a preference for recording and sharing their lives and ideas via poems, which is akin to recording in diaries in the later dynasties. Phenology, which could be used to indicate seasons and guide agricultural activities, is one of the favorite topics of poets. As most of the poems were improvised, they commonly reflect the real-time experiences of the poets. In addition, the great mass of the poems passed down to contemporary times were written by well-educated scholars, who were able to describe the phenological phenomena they saw without misusing or abusing words. Thus, poetry is an excellent carrier of phenological information.
Regarding the different types of poems of the Tang and Song dynasties, phenological information is most abundant in natural poems and realistic poems. The natural poems describe the force and beauty of nature, such as mountains, rivers, animals, and plants; they contain almost all kinds of phenological records, spanning both organic and non-organic sources (Table 1). The realistic poems strive for typicality in images, authenticity in details, and objectivity in descriptions. For example, there is a line in a poem by Bai Juyi that is as follows: “there is a crescent moon on the third night and the cicada sings for the first time” (Supplement S1-1), which specifically records the phenology of the first call of cicadas. Generally speaking, the phenological information from poems, especially natural poems and realistic poems, is objective and authentic and can thus be leveraged as a data source for reconstructing past climatic changes.
2.2 The quantity, spatial distribution, and accessibility of phenological records from the poems
By their very nature, Chinese poems have many distinctions in terms of recording phenological information compared to documents produced by institutions and personal diaries (Table 2). Poems have evident advantages in the quantity and variety of phenological evidence. According to Quan-Tang-Shi (the poetry of the Tang Dynasty) (Peng et al., 1986) and Quan-Song-Shi (the poetry of the Song Dynasty) (Center for Ancient Classics and Archives of Peking University, 1999), nearly 50 000 poems from the Tang Dynasty and more than 270 000 poems from the Song Dynasty are preserved. Numerous phenological records in the poems include not only non-organic events but also a variety of organic phenomena, most of which concern the phenology of natural plants and animals.
The spatial distributions of the phenological records are highly consistent with the ruling regions of the dynasties and there is a positive relationship between the quantity of records preserved from particular areas and the level of development of those areas. Take the Song Dynasty (960–1279 CE) as an example: because northern China was dominated by the Jin Dynasty from 1127 to 1279 CE, the phenological records from Quan-Song-Shi of this period are mainly located in southern China, especially around the city of Hangzhou (the capital city of the Song Dynasty at that time).
In general, the accessibility of phenological records in poems tends to be lower than that of other documents. Unlike documents produced by institutions in which phenological evidence was recorded by dedicated individuals, the phenological evidence in poems was recorded more inadvertently. The information about phenophases in poems may be incomplete or ambiguous. For a specific phenophase, a poet usually only recorded it a few times in poems during his lifetime. Thus, the frequency and continuity of the phenophase in his poems were relatively low. Take the word “willow” as an example: it was mentioned in 9041 poems in the Quan-Tang-Shi and the Quan-Song-Shi, but clear species names, phenophases, dates, and sites can be obtained from only 80 (0.88 %) poems. The accessibility of phenological records in poems may vary depending on particular characteristics of the poets. For example, Li Bai and Du Fu are the most representative romantic poet and realistic poet in the Tang Dynasty, respectively. According to Quan-Tang-Shi, there were 896 poems written by Li Bai and 1158 poems written by Du Fu. Among them, 23 (2.56 %) poems by Li Bai and 76 (6.56 %) poems by Du Fu are related to phenology. Thus, the accessibility of phenological information from poems by Du Fu is more than twice that of Li Bai. Only by integrating the same phenophase recorded by different poets could improvements be made in terms of frequency and continuity.
2.3 The inherent uncertainties of phenological evidence in poems
In addition to the uncertainties arising from data interpretation, calibration, validation, and verification, the extraction of phenological evidence from poems could also be associated with inherent uncertainties during the identification of species, the identification of phenophases, and the ascertainment of dates and sites. Such uncertainties need to be identified as a precursor to using phenological records to reconstruct past climate changes.
2.3.1 Uncertainties in the identification of species
Because the Chinese language has not changed fundamentally during the long history of the country, the people in present-day China can read ancient poems without too much difficulty. Nevertheless, some changes in meanings and expressions of particular words and phrases still exist. Particular words or phrases may have several additional meanings in ancient Chinese in comparison to modern usage. For example, the phrase “jin hua” (mainly refers to golden flower in modern Chinese) has at least four meanings in the Quan-Tang-Shi, but only one of them is a substantial description of phenology (Table 3).
The different names of some specific species in ancient China have also been simplified and unified in contemporary language. For example, the si sheng du juan (Cuculus micropterus) had at least three different names during the Tang and Song dynasties (Table 4). It is also noteworthy that the names of plants and animals in poems were mostly recorded at the genera level due to the lack of modern taxonomic knowledge. Nevertheless, different species within the same genus may exhibit divergent responses to climate change according to modern phenological studies (Dai et al., 2013). Thus, large uncertainties exist during the identification of species in poems.
2.3.2 Uncertainties in the judgment of phenophases
Phenophases in poems are not recorded in strict accordance with modern systematic criteria but are described through multiple rhetorical devices such as metaphor, personification, hyperbole, quote, pun, and rhyme. As such, it is difficult to extract clear phenophases from poems. For example, there is a line in a poem by the poet Quan Deyu as follows: “peonies occupy the spring breeze with their fragrance alone” (Supplement S1-12), which describes the phase of peonies flowering. However, the phenophase in this line is equivocal due to the use of personification. To compare the phenological records from poems with corresponding modern observational phenophases, the exact phenological stages need to be identified from the first flowering date, the full-flowering date, and the end of flowering date. Therefore, uncertainties may be produced during the identification of specific phenophases.
2.3.3 Uncertainties in ascertainment of dates
Exact dates are crucial for quantitatively evaluating phenological and climatic changes from past to present. By converting the Chinese lunar calendar into the modern Gregorian calendar, the phenophases in the poems can be compared with modern observational phenophases. Some poems may contain precise temporal information. For example, the poet Bai Juyi recorded the following in his poem: “the azalea is falling and the cuckoo is singing in this year” (Supplement S1-13). The title of this poem is “Farewell spring (written on the 30th day of the third month of the 11th year of the Yuan He)” – Yuan He is one of the reign titles of the Tang Dynasty, and the corresponding Gregorian date of this poem is 30 April 816 CE. However, the time of writing was not explicitly recorded for most other poems. Any lack of information concerning year, month, or day may lead to failures in phenological and climatic reconstructions. For instance, in another poem by Bai Juyi he states “people are busy in the fifth lunar month because the wheat is yellow in the field” (Supplement S1-14). Here, only information concerning the month was directly presented in this poem, which could obviously lead to uncertainties when deducing the year and the day. To make matters worse, some poems were written according to the memories or imaginations of poets. The information from such poems thus needs to be excluded.
2.3.4 Uncertainties in ascertainment of sites
By matching the ancient name of a site with its modern name, the phenophases in poems can be compared with the corresponding observational phenophases at the same site. However, similar to dates, the sites of phenophases in poems are sometimes missing. Worse still, some names of sites mentioned in poems are imagined for the purpose of expressing emotions rather than to record real locations. For example, Lu You wrote a verse in his poem which reads “there are so many willow branches in Ba Qiao, but who would have thought of sending one to me” (Supplement S1-15). Ba Qiao is a location in Xi'an (a city in central China), which is more than 700 km away from the place where Lu You wrote this poem (Chengdu, China). By describing the willow branches in his hometown in this poem, the poet expressed his homesickness. When attempting to ascertain sites, these kinds of uncertainties should be carefully considered and dealt with appropriately.
To minimize the uncertainty during the extraction of clear species, phenophases, dates, and sites from poems and to render them comparable with modern observations, several fundamental principles and processing steps should be put forward.
3.1 The basic principles for data processing
3.1.1 The principle of conservatism
The principle of conservatism refers to deducing ambiguous information conservatively in order to keep the characteristics of phenological information without causing too much deviation. Take the aforementioned poem of Bai Juyi (Supplement S1-14) as an example: the poem was written in 807 CE in Xi'an according to background information, while the exact date is not recorded. From the poem, we know that the harvest date of wheat in that year appeared in the fifth lunar month (from 10 June to 8 July in the Gregorian calendar), and thus 10 June, which is the closest to the modern observations (from 26 May to 8 June with the average of 2 June), can be determined as the date of wheat harvest in 807 CE in Xi'an. It should be noted that if the recorded period in the poem overlaps with the time of the modern phenophase, the principle of conservatism is inapplicable, and the record in the poem is invalid.
3.1.2 The principle of personal experience
The principle of personal experience demands that the phenological information described in the poems was being experienced by the poet, thus excluding records based on imaginations or memories. For example, Yang Wanli recorded a line in his poem which stated that “begonias in my hometown are flowering on this date and I see them blooming in my dream” (Supplement S1-16). From this, we know that he was not in his hometown when he wrote this poem. Thus, the phenophase of Begonias in this poem cannot be used. It is more complex to diagnose the information in some poems. For example, Lu You wrote a poem in 1208 CE wherein the following is recorded: “the Begonias in Biji Fang (place name) are the best in the world. Each branch looks dyed with scarlet blood” (Supplement S1-17). By looking into the life experience of Lu You, this poem is found to record his memory of 1172 CE. Therefore, this poem cannot be used as phenological evidence either according to the principle of personal experience.
3.2 The key steps of data processing
On the basis of the foregoing principles, four steps are required for the processing of phenological records in poems (Fig. 1).
3.2.1 Step 1: filtering the records
Filtering the records according to the features of poets and poems.
Poems commonly reflect the thoughts and daily lives of the poets. Thus, the poems written by people in certain professions that have little contact with phenological events, such as the alchemists mentioned in Table 3, may contain little phenological information. In this way, the poems written by alchemists can be excluded to improve the accessibility of phenological evidence from the poems. Furthermore, the records can be filtered according to the styles of poems and the interests or life experiences of the poets. For example, it is more likely that phenological records can be extracted from pastoral poems than from history-intoned poems.
Filtering the records according to the background information.
According to the background information of a poem, we can judge whether the phenophases in the poem actually happened, thus ensuring the robustness of phenological evidence. For example, there is a line in a poem by Su Shi as follows: “a few branches of peach blossom outside the bamboo grove, and the ducks will notice the warming of the river firstly” (Supplement S1-18). This seems to describe the natural phenophases in spring. However, by looking into the background information, we know that this poem refers to a painting. Therefore, it describes the scenery within the painting instead of real nature. The record thus needs to be excluded.
Filtering the records according to the rhetorical devices.
Whether the use of rhetorical devices in poems affects the authenticity of phenophases needs to be distinguished. For instance, despite the rhetorical device of personification used in the aforementioned poem by Quan Deyu (Supplement S1-12), it does reflect the blossom of peonies. Thus, this poem can be used in the study of past climate changes. The line of Lu Zhaoling saying that “the water in Laizhou (place name) has become shallower several times and how ripe is the peach fruit” (Supplement S1-19) seems to enquire about the time of the peach phenophase, but it is actually referring to the myth that peaches mature once every 3000 years in wonderland. The rhetorical device of quotation in this line has affected the authenticity of phenophases. Thus, this record should be eliminated.
Filtering the records according to the spatial representations.
For a specific species, phenophases vary with latitude, longitude, and elevation. It is necessary to clarify the spatial representation of phenological records in poems and to select records that are not affected by the local microclimate. For example, Bai Juyi recorded in his poem that “all the flowers on the plain have withered in the fourth lunar month, but the peaches in the temple on the mountain just begin to bloom” (Supplement S1-20). This record cannot be directly compared with modern observational data because the difference in altitude is almost 1000 m between the mountain in the poem and the modern observation site on the plain. Other factors that contribute to spatial differences such as valleys, depressions, and heat island effects are also used to filter the records.
Filtering the records according to human influence.
Human activities, such as cultivation and transplantation, could also affect the phenophases of plants. To accurately reflect climate changes, it is necessary to filter the records that were affected by human activities. Take the orange trees in the imperial palace of the Tang Dynasty as an example. Some researchers pointed out that these oranges were transplanted from southern China and could not normally survive the winter on the Guanzhong Plain. Thus, they were intensively managed by humans. This kind of phenological information in poems cannot be used as an indicator of climate changes.
3.2.2 Step 2: identifying animals and plants at the species level
There are two principal ways of identifying the animals and plants in poems from the genera level to the species level. The first way involves identifying the species according to the modern distribution of different species under the genera. For instance, the poet Liu Xian recorded the following information in his poem: “the flowers of peaches are going to fall while the branches of willow are stretching” (Supplement S1-21). This poem was written in Xi'an, which is located in the middle reaches of the Yellow River. Historically, the main peach species were Amygdalus davidiana and Amygdalus persica. According to modern species distributions, the former species can be found along the middle and lower reaches of the Yellow River, while the latter occurs in the Huai River basin (Gong et al., 1983). Thus, the peach in the poem can be identified as A. davidiana. The second way is to identify the species according to the sequences and correlations of different phenophases. For example, Gao Shi wrote a poem in Chengdu wherein it is stated that “the green-up of willow leaves and the ume blossoms can't stop me from being sad” (Supplement S1-22). The ume plant in ancient Chinese language usually refers to Chimonanthus praecox or Armeniaca mume. From the content of the text, we can infer that the ume blossoms occurred at a similar time to the leaf expansion of willow. According to modern observation data in Chengdu, the average full leaf expansion date of willow (Salix babylonica) is 23 February, while the average full-flowering dates of Chimonanthus praecox and Armeniaca mume are 10 January and 10 February, respectively. The average date of full flowering for A. mume is closer in time with the average date of full leaf expansion for willow. Thus, the ume blossoms in the poem can be identified as A. mume.
3.2.3 Step 3: identifying the phenophases according to modern observation criteria
By applying the semantic differential technique, which is commonly used in the studies of past climate changes (Academy of Meteorological Science of China Central Meteorological Administration, 1981; Wang, 1991; Wei et al., 2015; Yin et al., 2016; Su et al., 2018; Fang et al., 2019), the descriptions in poems are classified and graded according to the criteria of the phenological observation methods in China (Wan and Liu, 1979; Gong et al., 1983; Fang et al., 2005). Taking the aforementioned poem of Quan Deyu (Supplement S1-12) as an example, a line describes a scene where many peonies were blooming and filling the spring breeze with strong perfume. By classifying and grading the key words “occupy” and “fragrance” in this poem with other common descriptions of flowering phases in poems such as “tender”, “sparse”, “flourish”, “dense”, “wither”, and “fallen”, the description of peony blooming in this poem was most likely to match with the full-flowering date under the modern criterion “more than half of the flowers have blossomed in the observed species”. Thus, the phenophase in the poem can be identified as the full-flowering date. The classification and grading results for some representative examples of phenological descriptions in poems are shown in Table 5.
3.2.4 Step 4: ascertaining the dates and locations
This step firstly sought temporal information, including clear year, month, and date of the phenophase, from the titles, prefaces, and lines of the poems. The missing time information could then be deduced by consulting the background information and related studies or estimated reasonably according to the principle of conservatism. Finally, the time information in the Chinese lunar calendar had to be converted into the modern Gregorian calendar. For example, the poet Cui Riyong recorded in his poem that “the ume blossoms in the palace smell fragrant and look delicate with the background of snow” (Supplement S1-29). The title of this poem indicates that this poem records a banquet in the imperial palace on People's Day (Chinese traditional festival on the seventh day of the first lunar month). From the poem, we do not know which year it was. However, this banquet was also recorded by Xin Tang Shu (New Books of Tang, a history book of the Tang Dynasty) in the year 730 CE. Hence, we know that this poem was written in 730 CE.
Similarly, the exact location of the sites could be confirmed. It should be checked whether the place names appearing in the poems are real sites for phenophases. For example, Ba Qiao is not the site of the phenophase for willow in the aforementioned poem by Lu You (Supplement S1-15). Thus, the record in this poem cannot be used as phenological evidence for past climate studies.
To test the reliability of phenological records in poems for past climate change studies and the validity of the processing methods outlined in this study, we extracted 86 phenological records (Appendix A) from poems of the Tang Dynasty to reconstruct the mean annual temperatures in the Guanzhong region of China during the period of 600–900 CE.
4.1 Study area
The Guanzhong region (33∘35′–35∘50′ N, 106∘18′–110∘37′ E), located in central China (Fig. 2), was where the capital city of the Tang dynasty was located. Many poets were active here and left many poems describing phenology during the Tang dynasty. The study area has a continental monsoon climate with mean annual temperatures ranging from 7.8 to 13.5 ∘C and mean annual precipitation from 500 mm in the northeast to 700 mm in the southwest (Qian, 1991).
4.2 Data and methods
Since the 86 records from poems pertain to diverse phenophases, they indicate temperature changes at different times of the year. To obtain a relatively uniform and comparable series of reconstructed temperatures, the mean annual temperature anomaly was selected as the reconstruction index. Transfer functions between annual temperature anomalies and corresponding phenophases were established by using modern observation data. The transfer functions were then applied to reconstruct the annual temperature anomalies (with the reference period of 1961–1990 CE) in the Guanzhong region during 600–900 CE. The modern phenological and meteorological data used and the detailed methods of the transfer functions are shown in Appendix B.
4.3 Results and comparisons with other reconstructions
Figure 3a shows the reconstructed annual temperature anomalies using the phenological records from poems. For validation purposes, the results were compared with relevant studies. The first series used for comparison is attributable to Liu et al. (2016), wherein winter half-year (from October to next April) temperature anomalies were reconstructed by 87 phenological records from historical documents (mostly produced by institutions) for the period 600–902 CE in the Guanzhong region. The reconstruction by Liu et al. (2016) is a reliable reference not only because of the study area and period considered coincide but also because the proxies used by that study and ours are phenological records from independent sources. To avoid the additional influences of reconstruction indicators and transfer functions, the records from Liu et al. (2016) were reconstructed to annual temperature anomalies (Fig. 3b).
Table 6 shows the historical data sources, types, and quantity of phenological evidence in Liu et al. (2016) and this study. Except for a single record in one poem (Appendix A, poem No. 13), there is no duplication in records between the two studies. In general, the two studies are based on similar quantities of evidence, while the data types used in the two studies are quite different. In terms of Liu et al. (2016), 71 of 87 (nearly 82 %) pieces of phenological data are from documents produced by institutions. Among the 87 pieces of evidence, 67 (more than 77 %) are non-organic phenophases or agricultural phenophases (Fig. 3b). By contrast, the vast majority (more than 96 %) of evidence from poems in this study are phenophases of wild plants (Fig. 3a). These differences suggest that the phenological records in poems are effective supplements to historical phenological evidence for the period of the Tang Dynasty. It is also worth noting that fewer years are reconstructed in this study (36) compared to in Liu et al. (2016) (76), which further supports the claim that the frequency and continuity of phenological records preserved in poems is more sporadic than that of documents produced by institutions (Table 2).
To assess the validity of the temperature reconstruction from poems, two more temperature reconstructions by different proxies were leveraged for comparison. The first was winter half-year temperature anomalies at a 30-year resolution reconstructed from documentary evidence in the middle and lower reaches of the Yellow and Yangtze Rivers of China (Ge et al., 2003) (Fig. 3c). The second was annual temperature anomalies reconstructed from tree rings in Asia (Ahmed et al., 2013) (Fig. 3d). All four reconstructions indicated that there were more relatively cold years in the later periods after around the 800s. Indeed, the coldest years according to all four reconstructions occurred in this period. Before the 800s, the reconstructions by Liu et al. (2016), Ge et al. (2003), and our study showed more relatively warm temperatures, with the warmest years occurring around the 660s. Furthermore, the amplitude of reconstructed temperature by Liu et al. (2016) was 3.30 ∘C, which was very similar to the amplitude of reconstructed temperature (3.28 ∘C) in our study. As a benchmark, according to modern data spanning 1951–2013 the amplitude was 3.97 ∘C. In sum, the similarities between different reconstructions confirm the effectiveness of phenological records from poems for gauging past climate changes.
There are still controversies about how the climate changed during the Tang and Song dynasties (Chu, 1973; Fei et al., 2001; Yang et al., 2002; Ge et al., 2003; Tan et al., 2003; Thompson et al., 2006; Zhang and Lu, 2007). One of the reasons lies in the lack of sufficient evidence supporting the climatic reconstructions. Although some studies have reconstructed the temperatures during this period using natural evidence such as tree rings, pollen, and sediment (Xu et al., 2004; Zhang et al., 2014; Zhu et al., 2019), their results either do not cover the entire period or they have relatively low temporal resolution. In addition, these natural proxies are mostly collected from uninhabited areas, and thus they are not particularly amenable to evaluating the interactions between climate change and human activities. In comparison, documentary evidence, which occurs more frequently and is closer to human life, has become an important data source for reconstructing climate changes in this period. As one of the most popular literary forms in the Tang and Song dynasties, poetry has huge potential to provide abundant and diverse phenological information, which will undoubtedly contribute to the study of historical climate change.
Despite this, very few studies have thus far been reported concerning the use of phenological records from poems to quantitatively reconstruct historical climate change due to the lack of effective methodologies for data extraction. Unlike climate reconstructions using other proxies that have standard processing methods and clear reference objects, the processing of phenological records from poems is much more complex. For example, dating tree-ring samples only requires counting the number of annual rings from the outside to the inside or comparing them with a standard chronology. However, the temporal information in poems cannot be obtained directly from a reference chronology. As already mentioned, the temporal information in poems may be hidden in the poet's biography, official history books, or some related studies. It is necessary to search through these materials one by one and make careful comparisons before ascertaining the exact temporal information, and indeed some information is found to be unrecorded after searching through large amounts of material. This problem also exists when seeking to extract information concerning species, phenophases, and sites from poems.
We attempt to introduce a standard procedure for extracting phenological records from poems, which could, on the one hand, minimize the uncertainties of the records, and on the other hand, efficiently filter irrelevant records. By following the principles and steps herein, researchers can understand where to find the information needed and how to manage the phenological data from poems. The extracted phenological records are comparable with modern observation data and can be used as a proxy for quantitatively reconstructing climate changes.
Although the validity of phenological records from poems has only been tested in a single area of China in the Tang Dynasty, the methodologies of extracting and processing phenological records from poems for climate reconstructions proposed in this study could be applied to wider regions and longer periods. On the one hand, many studies have demonstrated that climate is the primary driver of phenophases over the whole of China (Piao et al., 2006; Dai et al., 2014; Ge et al., 2015; Tao et al., 2017), which indicates that the phenological records obtained at any place could be used as evidence of climate changes. On the other hand, historians agree that the feudal society in Chinese history did not fundamentally change during different dynasties (Liu, 1981; Tian, 1982; Feng, 1994). Although historical China varied its administrated area coverage from dynasty to dynasty, its core socioeconomics closely aligned with the major agricultural areas throughout history. This geographic and temporal overlap allows for continuous comparison across the core areas of China (Fang et al., 2019). Correspondingly, the essence of literature, especially poetry, has not changed, though different types of poetry varied in their popularity between dynasties, e.g., differences in terms of poetic forms, the number of words, and the needs of rhymes and sounds. Therefore, the phenological records obtained from poems from different periods in core areas of historical China can also be extracted and processed for climatic reconstruction according to the method in this study.
We only used 86 phenological records extracted from poems to reconstruct the temperature anomalies for a small area in the Tang Dynasty. Although the uncertainties from transfer functions are shown in Appendix C, there are other uncertainties that are difficult to quantitatively assess. For example, differences in cultivated plant types and crop management may have an effect on the temperature reconstruction, though many studies show that phenological changes in cultivated plants are principally driven by climate changes, especially temperature variations (Estrella et al., 2007; Lobell et al., 2012; Liu et al., 2018). Overall, the reconstruction in this study testifies to the reliability of phenological records from poems in indicating past climate changes. Nevertheless, there are still many phenological records that remain to be extracted. By rough estimation, the temporal resolution of the phenological records from poems of the Tang and Song dynasties can reach 20 years or less. In addition, phenological records from poems of the Tang and Song dynasties are widely distributed, covering almost all the regions of modern China. Take the Song Dynasty (960–1279 CE) as an example. Although northern China was dominated by the Jin Dynasty from 1127 to 1279 CE, which means that most poems written by poets living in northern China are not contained in the Quan-Song-Shi, we can try to search from the Quan-Jin-Shi (the Poetry of the Jin Dynasty) (Xue and Guo, 1995) to add phenological records in northern China. The rich records around the capitals and developed cities are of great value in terms of comparisons with modern phenological observations. Future work will be focused on extracting more records from poems and developing integration methods for different phenophases at different sites to explore the overall phenological changes and climate changes over a larger region.
In this study, we put forward a processing method to extract phenological information from poems of the Tang and Song dynasties, which includes two principles (the principle of conservatism and the principle of personal experience) and four steps: (1) filtering the records based on the features of poets and poems, the background information, the rhetorical devices, the spatial representations, and human influence; (2) identifying the animals and plants to the species level; (3) judging the phenophases according to modern observation criteria; and (4) ascertaining times and sites. We then used this method to extract 86 phenological records from poems of the Guanzhong region in central China and reconstructed the annual mean temperature anomalies for specific years during 600–900 CE. The reconstructed temperature anomaly series was comparable with that reconstructed by records from documents in the same area and period, demonstrating that our method is effective and reliable. This paper therefore provides a reference in both theory and method for the extraction and application of phenological records from poems in studies of past climate changes.
Modern phenological observation data in Xi'an, which located in the center of Guanzhong region, were derived from the China Phenological Observation Network (CPON). Xi'an has kept observations every year since 1963, except for the period of 1997–2002. The annual mean temperature data of 1951–2013 in Xi'an was obtained from the Chinese Meteorological Administration. Owing to a lack of data, some modern phenophases were defined based on the meteorological data. For instance, the modern date of spring cultivation was defined as the first day when the daily mean temperature is consecutively higher than 5 ∘C for 5 d (Ge et al., 2010). The modern date of millet harvest in autumn is defined as the first day when the daily mean temperature is continuously lower than 10 ∘C for 5 d (Hao et al., 2009).
After changing the time series of temperature and phenophases to anomalies with respect to the reference period (1961–1990 CE), the transfer functions between the phenological and temperature anomalies were developed by linear regression, which can be expressed as
where y is the annual temperature anomalies and xi is the phenological anomalies for phenophase i. The constants a and b are estimated using the least-squares method and represent the regression slope and intercept, respectively.
Subsequently, the phenophase-specific transfer functions were applied to each historic phenological anomaly to obtain the annual temperature anomalies. If there was more than one record in a single year, temperature in that year was calculated as the arithmetic mean of all of the reconstructed temperatures in that year.
All the data used to perform the analysis in this study are described and properly referenced in the paper. The phenological records from poems used to reconstruct the annual temperatures are listed in Appendix A, and all of the original sources of the verses used in this paper are listed in the Supplement in Chinese. The modern phenological data are available from the National Earth System Science Data Center (2020, http://www.geodata.cn/data/datadetails.html?dataguid=5881257&docid=19673). The modern meteorological data are available from the China Meteorological Data Service Center (2021, http://data.cma.cn/en/?r=data/detail&dataCode=SURF_CLI_CHN_MUL_DAY_CES_V3.0).
The supplement related to this article is available online at: https://doi.org/10.5194/cp-17-929-2021-supplement.
YL and ZT contributed to the idea and design of the structure of paper. YL collected and analyzed the data. YL, XF, JD, HW, and ZT wrote the paper.
The authors declare that they have no conflict of interest.
This article is part of the special issue “International methods and comparisons in climate reconstruction and impacts from archives of societies”. It is not associated with a conference.
We would like to thank the anonymous reviewers and editors for their valuable comments.
This research has been supported by the National Natural Science Foundation of China (grant nos. 41807438, 41771056), the Strategic Project of Science and Technology of the Chinese Academy of Sciences (grant no. XDA19040101), the National Key Research and Development Program of China (grant no. 2018YFA0606102), Natural Science Basic Research Program of Shaanxi (program no. 2021JQ-793), and the Special Scientific Research Program of Education Department of Shaanxi Provincial Government (grant no. 20JK0877).
This paper was edited by Qing Pei and reviewed by three anonymous referees.
Academy of Meteorological Science of China Central Meteorological Administration: Yearly Charts of Dryness/Wetness in China for the Last 500-Year Period, Cartographic Publishing House, Beijing, China, 1981 (in Chinese).
Ahmed, M., Anchukaitis, K. J., Asrat, A., Borgaonkar, H. P., Braida, M., Buckley, B. M., Buntgen, U., Chase, B. M., Christie, D. A., Cook, E. R., Curran, M. A. J., Diaz, H. F., Esper, J., Fan, Z. X., Gaire, N. P., Ge, Q. S., Gergis, J., Gonzalez-Rouco, J. F., Goosse, H., Grab, S. W., Graham, N., Graham, R., Grosjean, M., Hanhijarvi, S. T., Kaufman, D. S., Kiefer, T., Kimura, K., Korhola, A. A., Krusic, P. J., Lara, A., Lezine, A. M., Ljungqvist, F. C., Lorrey, A. M., Luterbacher, J., Masson-Delmotte, V., McCarroll, D., McConnell, J. R., McKay, N. P., Morales, M. S., Moy, A. D., Mulvaney, R., Mundo, I. A., Nakatsuka, T., Nash, D. J., Neukom, R., Nicholson, S. E., Oerter, H., Palmer, J. G., Phipps, S. J., Prieto, M. R., Rivera, A., Sano, M., Severi, M., Shanahan, T. M., Shao, X. M., Shi, F., Sigl, M., Smerdon, J. E., Solomina, O. N., Steig, E. J., Stenni, B., Thamban, M., Trouet, V., Turney, C. S. M., Umer, M., van Ommen, T., Verschuren, D., Viau, A. E., Villalba, R., Vinther, B. M., von Gunten, L., Wagner, S., Wahl, E. R., Wanner, H., Werner, J. P., White, J. W. C., Yasue, K., and Zorita, E.: Continental-scale temperature variability during the past two millennia, Nat. Geosci., 6, 339–346, https://doi.org/10.1038/ngeo1797, 2013.
Aono, Y.: Cherry blossom phenological data since the seventeenth century for Edo (Tokyo), Japan, and their application to estimation of March temperatures, Int. J. Biometeorol., 59, 427–434, https://doi.org/10.1007/s00484-014-0854-0, 2015.
Aono, Y. and Kazui, K.: Phenological data series of cherry tree flowering in Kyoto, Japan, and its application to reconstruction of springtime temperatures since the 9th century, Int. J. Climatol., 28, 905–914, https://doi.org/10.1002/joc.1594, 2008.
Aono, Y. and Saito, S.: Clarifying springtime temperature reconstructions of the medieval period by gap-filling the cherry blossom phenological data series at Kyoto, Japan, Int. J. Biometeorol., 54, 211–219, https://doi.org/10.1007/s00484-009-0272-x, 2010.
Brázdil, R., Možný, M., Klír, T., Řezníčková, L., Trnka, M., Dobrovolný, P., and KotyzaIch, O.: Climate variability and changes in the agricultural cycle in the Czech Lands from the sixteenth century to the present, Theor. Appl. Climatol., 136, 553–573, https://doi.org/10.1007/s00704-018-2508-3, 2018.
Center for Ancient Classics and Archives of Peking University: Quan-Song-Shi, Peking University Press, Beijing, China, 1999 (in Chinese).
China Meteorological Data Service Center: Dataset of daily climate data from Chinese surface stations for global exchange (V3.0), available at: http://data.cma.cn/en/?r=data/detail&dataCode=SURF_CLI_CHN_MUL_DAY_CES_V3.0, last access: 19 April 2021.
Chu, K.: A preliminary study on the climatic fluctuations during the last 5,000 years in China, Sci. China, 16, 226–256, 1973.
Chuine, I., Yiou, P., Viovy, N., Seguin, B., Daux, V., and Ladurie, E. L. R.: Historical phenology: grape ripening as a past climate indicator, Nature, 432, 289–290, https://doi.org/10.1038/432289a, 2004.
Dai, J., Wang, H., and Ge, Q.: Multiple phenological responses to climate change among 42 plant species in Xi'an, China, Int. J. Biometeorol., 57, 749–758, https://doi.org/10.1007/s00484-012-0602-2, 2013.
Dai, J., Wang, H., and Ge, Q.: The spatial pattern of leaf phenology and its response to climate change in China, Int. J. Biometeorol., 58, 521–528, https://doi.org/10.1007/s00484-013-0679-2, 2014.
Daux, V., Garcia de Cortazar-Atauri, I., Yiou, P., Chuine, I., Garnier, E., Le Roy Ladurie, E., Mestre, O., and Tardaguila, J.: An open-access database of grape harvest dates for climate research: data description and quality assessment, Clim. Past, 8, 1403–1418, https://doi.org/10.5194/cp-8-1403-2012, 2012.
Estrella, N., Sparks, T. H., and Menzel, A.: Trends and temperature response in the phenology of crops in Germany, Glob. Change Biol., 13, 1737–1747, https://doi.org/10.1111/j.1365-2486.2007.01374.x, 2007.
Etien, N., Daux, V., Masson-Delmotte, V., Stievenard, M., Bernard, V., Durost, S., Guillemin, M. T., Mestre, O., and Pierre, M.: A bi-proxy reconstruction of Fontainebleau (France) growing season temperature from A.D. 1596 to 2000, Clim. Past, 4, 91–106, https://doi.org/10.5194/cp-4-91-2008, 2008.
Fang, X., Xiao, L., Ge, Q., and Zheng, J.: Changes of plants phenophases and temperature in spring during 1888 ∼ 1916 around Changsha and Hengyang in Hunan province, Quaternary Sciences, 25, 74–79, https://doi.org/10.3321/j.issn:1001-7410.2005.01.010, 2005 (in Chinese).
Fang, X., Su, Y., Wei, Z., and Yin, J.: Social impacts of climate change in historical China, in: Socio-Environmental Dynamics along the Historical Silk Road, edited by: Yang, L. E., Bork, H.-R., Fang, X., and Mischke, S., Springer, Cham, Switzerland, 231–245, 2019.
Fei, J.: Study on volcanic eruption and climate in China in historical period, Fudan University Press, Shanghai, China, 2019 (in Chinese).
Fei, J., Hou, Y., Liu, X., An, Z., and Wang, S.: Fluctuation characteristics of climatic change in temperature of Tang Dynasty based on historical document records in south Loess Plateau, Collections of Essays on Chinese Historical Geography, 16, 74–81, https://doi.org/10.3969/j.issn.1001-5205.2001.04.013, 2001 (in Chinese).
Feng, E.: The evolution of Chinese social structure, Henan People's Publishing House, Zhengzhou, China, 1994 (in Chinese).
Ge, Q., Zheng, J., Fang, X., Man, Z., Zhang, X., Zhang, P., and Wang, W.-C.: Winter half-year temperature reconstruction for the middle and lower reaches of the Yellow River and Yangtze River, China, during the past 2000 years, Holocene, 13, 933–940, https://doi.org/10.1191/0959683603hl680rr, 2003.
Ge, Q., Zheng, J., Tian, Y., Wu, W., Fang, X., and Wang, W.-C.: Coherence of climatic reconstruction from historical documents in China by different studies, Int. J. Climatol., 28, 1007–1024, https://doi.org/10.1002/joc.1552, 2008.
Ge, Q., Liu, H., Zheng, J., and Zhang, X.: Reconstructing temperature change in Central East China during 601–920 AD, Chinese Sci. Bull., 55, 3944–3949, https://doi.org/10.1007/s11434-010-4179-z, 2010.
Ge, Q., Hao, Z., Zheng, J., and Shao, X.: Temperature changes over the past 2000 yr in China and comparison with the Northern Hemisphere, Clim. Past, 9, 1153–1160, https://doi.org/10.5194/cp-9-1153-2013, 2013.
Ge, Q., Wang, H., Zheng, J., This, R., and Dai, J.: A 170 year spring phenology index of plants in eastern China, J. Geophys. Res.-Biogeo., 119, 301–311, https://doi.org/10.1002/2013JG002565, 2014.
Ge, Q., Wang, H., Rutishauser, T., and Dai, J.: Phenological response to climate change in China: a meta-analysis, Glob. Change Biol., 21, 265–274, https://doi.org/10.1111/gcb.12648, 2015.
Ge, Q., Hao, Z., Zheng, J., and Liu, Y.: China: 2000 years of climate reconstruction from historical documents, in: The Palgrave Handbook of Climate History, edited by: White, S., Pfister, C., and Mauelshagen, F., Springer, Basingstoke, UK, 189–201, 2018.
Gong, G., Zhang, P., and Wu, X.: Research Methods of Historical Climate Change, Science Press, Beijing, China, 1983 (in Chinese).
Hao, Z., Ge, Q., and Zheng, J.: Temperature variations during the Song and Yuan dynasties (960 ∼ 1368 A. D.) in the eastern part of northwest China, Quaternary Sciences, 29, 871–879 https://doi.org/10.3969/j.issn.1001-7410.2009.05.03, 2009 (in Chinese).
Kiss, A., Wilson, R., and Bariska, I.: An experimental 392-year documentary-based multi-proxy (vine and grain) reconstruction of May–July temperatures for Koszeg, West-Hungary, Int. J. Biometeorol., 55, 595–611, https://doi.org/10.1007/s00484-010-0367-4, 2011.
Labbé, T., Pfister, C., Brönnimann, S., Rousseau, D., Franke, J., and Bois, B.: The longest homogeneous series of grape harvest dates, Beaune 1354–2018, and its significance for the understanding of past and present climate, Clim. Past, 15, 1485–1501, https://doi.org/10.5194/cp-15-1485-2019, 2019.
Liu, C.: The reasons for the long-term continuation of Chinese feudal society, Hist. Res., 2, 15–28, 1981 (in Chinese).
Liu, Y., Wang, H., Dai, J., Li, T., Wang, H., and Tao, Z.: The application of phonological methods in reconstruction of past climate changes, Geogr. Res., 33, 2–15, https://doi.org/10.11821/dlyj201404001, 2014 (in Chinese).
Liu, Y., Dai, J., Wang, H., Ye, Y., and Liu, H.: Phenological records in Guanzhong Area in central China between 600 and 902 AD as proxy for winter half-year temperature reconstruction, Sci. China Earth Sci., 59, 1847–1853, https://doi.org/10.1007/s11430-016-5325-5, 2016.
Liu, Y., Chen, Q., Ge, Q., Dai, J., Qin, Y., Dai, L., Zou, X., and Chen, J.: Modelling the impacts of climate change and crop management on phenological trends of spring and winter wheat in China, Agr. Forest Meteorol., 248, 518–526, https://doi.org/10.1016/j.agrformet.2017.09.008, 2018.
Lobell, D., Sibley, A., and Ivan Ortiz-Monasterio, J.: Extreme heat effects on wheat senescence in India, Nat. Clim. Change, 2, 186–189, https://doi.org/10.1038/nclimate1356, 2012.
Man, Z.: A study on the stages of cold and warm in the Tang Dynasty and the characteristics of climate in Each period, Historical Geography, 8, 1–15, 1990 (in Chinese).
Man, Z.: Climate in Tang Dynasty of China: discussion for its evidence, Quaternary Sciences, 1, 20–30, 1998 (in Chinese).
Maurer, C., Koch, E., Hammerl, C., Hammerl, T., and Pokorny, E.: BACCHUS temperature reconstruction for the period 16th to 18th centuries from Viennese and Klosterneuburg grape harvest dates, J. Geophys. Res., 114, D22106, https://doi.org/10.1029/2009JD011730, 2009.
Meier, N., Pfister, C., Wanner, H., and Luterbacher, J.: Grape harvest dates as a proxy for Swiss April to August temperature reconstructions back to AD 1480, Geophys. Res. Lett., 34, L20705, https://doi.org/10.1029/2007GL031381, 2007.
Možný, M., Brázdil, R., Dobrovolný, P., and Trnka, M.: Cereal harvest dates in the Czech Republic between 1501 and 2008 as a proxy for March–June temperature reconstruction, Climatic Change, 110, 801–821. https://doi.org/10.1007/s10584-011-0075-z, 2012.
Možný, M., Brázdil, R., Dobrovolný, P., and Trnka, M.: April–August temperatures in the Czech Lands, 1499–2015, reconstructed from grape-harvest dates, Clim. Past, 12, 1421–1434, https://doi.org/10.5194/cp-12-1421-2016, 2016.
Mu, C.: Further research on the climatic fluctuations during the last 5000 years in China, China Meteorological Press, Beijing, China, 1996 (in Chinese).
National Earth System Science Data Center: Observation data of typical plant phenology at Xi'an site of China Phenology Observation Network, available at: http://www.geodata.cn/data/datadetails.html?dataguid=5881257&docid=19673, last access: 9 November 2020 (in Chinese).
Nordli, Ø., Lundstad, E., and Ogilvie, A. E. J.: A late-winter to early-spring temperature reconstruction for southeastern Norway from 1758 to 2006, Ann. Glaciol., 46, 404–408, https://doi.org/10.3189/172756407782871657, 2007.
Nordli, P. Ø.: Reconstruction of nineteenth century summer temperatures in Norway by proxy data from farmers' diaries, Climatic Change, 48, 201–218, https://doi.org/10.1007/978-94-017-3352-6_10, 2001.
Peng D., Shen S., Yang Z., Wang S., Wang Y., Yu M., Xu S., Che D., Pan C., and Zha S.: Quan-Tang-Shi, Shanghai Classics Publishing House, Shanghai, China, 1986 (in Chinese).
Piao S., Fang, J., Zhou, L., Ciais, P., and Zhu, B.: Variations in satellite-derived phenology in China's temperate vegetation, Glob. Change Biol., 12, 672–685, https://doi.org/10.1111/j.1365-2486.2006.01123.x, 2006.
Pribyl, K., Cornes, R. C., and Pfister, C.: Reconstructing medieval April–July mean temperatures in East Anglia, 1256–1431, Climatic Change, 113, 393–412, https://doi.org/10.1016/j.quaint.2012.08.1205, 2012.
Qian, L.: Climate of Loss Plateau, China Meteorological Press, Beijing, China, 1991 (in Chinese).
Richardson, A. D., Keenan, T. F., Migliavacca, M., Ryu, Y., Sonnentag, O., and Toomey, M.: Climate change, phenology, and phenological control of vegetation feedbacks to the climate system, Agr. Forest Meteorol., 169, 156–173, https://doi.org/10.1016/j.agrformet.2012.09.012, 2013.
Schwartz, M. D.: Phenology: an integrative environmental science, Springer, Dordrecht, the Netherlands, 2003.
Su, Y., He, J., Fang, X., and Teng, J.: Transmission pathways of China's historical climate change impacts based on a food security framework, Holocene, 28, 1564–1573, https://doi.org/10.1177/0959683618782600, 2018.
Tan, M., Liu, T. S., Hou, J. Z., Qin, X. G., Zhang, H. C., and Li, T. Y.: Cyclic rapid warming on centennial-scale revealed by a 2650-year stalagmite record of warm season temperature, Geophys. Res. Lett., 30, 1617, https://doi.org/10.1029/2003GL017352, 2003.
Tao, Z., Wang, H., Liu, Y., Xu, Y., and Dai, J.: Phenological response of different vegetation types to temperature and precipitation variations in northern China during 1982–2012, Int. J. Remote Sens., 38, 3236–3252, https://doi.org/10.1080/01431161.2017.1292070, 2017.
Tarand, A. and Nordli, P. Ø.: The Tallinn temperature series reconstructed back half a millennium by use of proxy data, Climatic Change, 48, 189–199, https://doi.org/10.1023/A:1005673628980, 2001.
Thompson, L. G., Yao, T., Davis, M. E., Mosley-Thompson, E., Mashiotta, T. A., Lin, P.-N., Mikhalenko, V. N., and Zagorodnov, V. S.: Holocene climate variability archived in the Puruogangri ice cap on the central Tibetan Plateau, Ann. Glaciol., 43, 61–69, https://doi.org/10.3189/172756406781812357, 2006.
Tian, J.: A summary of the discussion on the reasons for the long-term continuation of Chinese feudal society, Hist. Res., 1, 103–110, 1982 (in Chinese).
Wan, M. and Liu, X.: Phenological observation methods in China, Science Press, Beijing, China, 1979 (in Chinese).
Wang, H., Dai, J., Zheng, J., and Ge, Q.: Temperature sensitivity of plant phenology in temperate and subtropical regions of China from 1850 to 2009, Int. J. Climatol., 35, 913–922, https://doi.org/10.1002/joc.4026, 2015.
Wang, S.: Reconstruction of tempeature series of North China from 1380s to 1980s, Sci. China, 34, 751–759, 1991.
Wei, Z., Rosen, A. M., Fang, X., Su, Y., and Zhang, X.: Macro-economic cycles related to climate change in dynastic China, Quaternary Res., 83, 13–23, https://doi.org/10.1016/j.yqres.2014.11.001, 2015.
Wetter, O. and Pfister, C.: Spring-summer temperatures reconstructed for northern Switzerland and southwestern Germany from winter rye harvest dates, 1454–1970, Clim. Past, 7, 1307–1326, https://doi.org/10.5194/cp-7-1307-2011, 2011.
Xiao, L., Fang, X., and Zhang, X.: Location of rainbelt of Meiyu during second half of 19th century to early 20th century, Scientia Geographica Sinica, 28, 385–389, https://doi.org/10.3969/j.issn.1000-0690.2008.03.015, 2008 (in Chinese).
Xu, Q., Xiao, J., Nakamura, T., Yang, X., Yang, Z., Liang, W., and Inouchi, Y.: Climate changes of daihai basin during the past 1500 from a pollen record, Quaternary Sciences, 24, 341–347, https://doi.org/10.3321/j.issn:1001-7410.2004.03.014, 2004 (in Chinese).
Xue, R. and Guo, M.: Quan-Jin-Shi, Nankai University Press, Tianjin, China, 1995 (in Chinese).
Yang, B., Braeuning, A., Johnson, K. R., and Yafeng, S.: General characteristics of temperature variation in China during the last two millennia, Geophys. Res. Lett., 29, 38–31, https://doi.org/10.1029/2001GL014485, 2002.
Yang, B., Braeuning, A., Yao, T., and Davis, M. E.: Correlation between the oxygen isotope record from Dasuopu ice core and the Asian Southwest Monsoon during the last millennium, Quaternary Sci. Res., 26, 1810–1817, https://doi.org/10.1016/j.quascirev.2007.03.003, 2007.
Yin, J., Fang, X., and Su, Y.: Correlation between climate and grain harvest fluctuations and the dynastic transitions and prosperity in China over the past two millennia, Holocene, 26, 1914–1923, https://doi.org/10.1177/0959683616646186, 2016.
Zhang, D. E. and Lu, L. H.: Anti-correlation of summer/winter monsoons?, Nature, 450, E7–E8, https://doi.org/10.1038/nature06338, 2007.
Zhang, G.: History of Chinese Poetry, Hebei Education Press, Shijiazhuang, China, 2015 (in Chinese).
Zhang Q., Cheng, G., Yao, T., Kang, X., and Huang, J.: A 2,326-year tree-ring record of climate variability on the northeastern Qinghai-Tibetan Plateau, Geophys. Res. Lett., 30, 333–336, https://doi.org/10.1029/2003GL017425, 2003.
Zhang, Y., Shao, X. M., Yin, Z.-Y., and Wang, Y.: Millennial minimum temperature variations in the Qilian Mountains, China: evidence from tree rings, Clim. Past, 10, 1763–1778, https://doi.org/10.5194/cp-10-1763-2014, 2014.
Zheng, J., Man, Z., Fang, X., and Ge, Q.: Temperature variation in the eastern China during Wei, Jin and South-North Dynasties (220–580 A. D.), Quaternary Sciences, 25, 129–140, https://doi.org/10.3321/j.issn:1001-7410.2005.02.002, 2005 (in Chinese).
Zheng, J., Ge, Q., Hao, Z., Liu, H., Man, Z., Hou, Y., and Fang, X.: Paleoclimatology proxy recorded in historical documents and method for reconstruction on climate change, Quaternary Sciences, 34, 1186–1196, https://doi.org/10.3969/j.issn.1001-7410.2014.06.07, 2014 (in Chinese).
Zheng, J., Liu, Y., Hao, Z., Zhang, X., Ma, X., Liu, H., and Ge, Q.: Winter temperatures of southern China reconstructed from phenological cold/warm events recorded in historical documents over the past 500 years, Quatern. Int., 479, 42–47, https://doi.org/10.1016/j.quaint.2017.08.033, 2018.
Zhu, Y., Lei, G., Li, Z., Jiang, X., Jin, J., and Wang, L.-C.: Montane peat bog records of vegetation, climate, and human impacts in Fujian Province, China, over the last 1330 years, Quatern. Int., 528, 53–62, https://doi.org/10.1016/j.quaint.2019.04.016, 2019.