Agro-pastoral Transitional Zone Research Articles

Temporal and Spatial Variation of Agricultural and Pastoral Production in the Eastern Section of the Agro-Pastoral Transitional Zone in Northern China

Temporal and Spatial Variation of Agricultural and Pastoral Production in the Eastern Section of the Agro-Pastoral Transitional Zone in Northern China

The Agro-Pastoral Transitional Zone in Northern China: Continuously Intensifying Land Use Competition Leading to Imbalanced Spatial Matching of Ecological Elements

The Agro-Pastoral Transitional Zone in Northern China: Continuously Intensifying Land Use Competition Leading to Imbalanced Spatial Matching of Ecological Elements

Coupled Vis-NIR spectroscopy with chemometrics strategy for soil organic carbon prediction in the Agro-pastoral Transitional zone of northwest China

Rapidly and accurately grasp the change of soil organic carbon content in farmland, which is of great significance in guiding the timely and effective mastery of farmland soil fertility and improvement of soil physical properties. In this study, an ASD FieldSpec 4 spectrometer was used to collect spectral reflectance data on 128 agricultural soil samples taken from Jingbian County, Yulin City, Shaanxi Province, China. Firstly, descriptive statistics of the SOC in the study area were performed, and secondly, after 10 spectral transformations were performed, the correlation analysis and the Boruta algorithm were used to extract the characteristic wavebands of soil organic carbon, respectively, in order to reduce the redundancy of the data. Finally, by comparing the accuracies of different strategies, we constructed a spectral prediction model of soil organic carbon in farmland of the Northwest Agricultural and Animal Husbandry Intertwined Zone that integrates the optimal preprocessing, feature selection strategy and modelling method. The results indicate that: 1) The mean SOC content of the farmland in the study area was low and at the nutrient deficient level, with the standard errors and coefficients of variation for the modelling and validation sets were 1.596 g kg−1, 1.457 g kg−1, 54 % and 52 %, respectively; 2) The shape and trend of spectral special curves with different SOC contents show consistency, and the SOC content is negatively correlated with spectral reflectance; 3) CA selects more feature bands, but the feature bands are more homogeneous, while the Boruta algorithm can effectively remove irrelevant variables and improve the SOC feature selection effect; 4) The SOC prediction model based on Boruta-FD-RF can be better for soil organic carbon estimation, with R2 of 0.899 and 0.748 for the training set and validation set, respectively, RMSE of 1.432 g kg−1 and 1.967 g kg−1, and RPD of 2.557 and 1.647, respectively. The results show that the SOC model established by integrating optimal spectral pre-processing, feature selection strategy and chemometrics strategy has obvious improvement in prediction accuracy and stability, and this study provides an important reference for the fast and accurate estimation of SOC content in farmland of Agro-pastoral Transitional zone in northwest China.

Assessment of ecosystem stability in the agro-pastoral transitional zone for local sustainable management: A case study in Duolun County, northern China

Assessing the ecosystem stability and the influencing factors in the fragile ecosystem of the agro-pastoral transitional zone of Northern China (APTZNC) is essential for the sustainable provision of multiple ecosystem services and adaptive ecosystem management. In this study, we selected Duolun County in the APTZNC as the study area. The ecosystem stability was assessed in terms of resistance and resilience, and the factors influencing the spatial distribution of stability were explored. The results showed that the mean value of ecosystem resistance in the study area was 0.61 (at a medium–high level), while the mean values of resilience and stability were 0.38 and 0.36, respectively, (at a medium–low level) in the past 21 years. The spatial patterns of ecosystem resistance, resilience, and stability showed significant spatial heterogeneity. Temperature and elevation were both negatively correlated with ecosystem resistance. At the same time, human activities and socioeconomics are the key factors which influence the distribution of stability indicators. The population density and gross domestic product show a correlation with stability, and the stability also varies across different land uses. Forest ecosystems showed high stability compared to croplands and grasslands when exposed to the same climate change perturbations; cropland ecosystems with a high intensity of human disturbance showed a loss of stability, while grassland ecosystems showed a gradual improvement in stability. These findings can provide effective information for sustainable management of different regions or ecosystem types in the context of climate change and intensified human activities.

A perspective of spatial variability and ecological risks of antibiotics in the agricultural-pastoral ecotone soils in eastern Inner Mongolia

Antibiotics have garnered growing attention as pharmaceuticals ubiquitously present in human society. Within the soil environment, antibiotics exhibit a propensity for high environmental persistence, thereby posing a potential threat to the ecosystem. However, research on antibiotics in agricultural-pastoral ecotone soils is scarce. This study investigates the occurrence, distribution and risk of 11 common antibiotics in agricultural soils of the agro-pastoral transition zone in Horqin Left Middle Banner, eastern Inner Mongolia. The total concentration varies from not detectable to 609.62 μg/kg. Tetracyclines are the dominant antibiotic, with a higher detection frequency than Macrolides and Sulfonamides. The detection rates of the three types of antibiotics differ significantly. The study also finds that soil properties (organic matter content, pH, bulk density, clay, cation exchange capacity have no significant correlation with antibiotics in soil. Moreover, spatial regression analysis reveals that population density is the primary factor influencing the spatial distribution of antibiotics in soil. Ecological risk assessment shows that clarithromycin and erythromycin are the two most harmful factors in the ecological risk of agricultural soil.

Can grain production be synergistic with socioeconomic development?—Empirical evidence from the agro-pastoral ecotone in North China

PurposeGrain production is an important foundation for economic development and social stability. Studying the interaction characteristics and influence mechanism between grain production and socioeconomic development is beneficial for promoting economic development and improving people’s well-being. MethodsBased on the water and carbon footprint perspective, this study first uses the Super-SBM model to measure the green production efficiency of grain in the agro-pastoral transition zone in North China from 2000 to 2020. Second, the theoretical logic of the synergy between grain production and socioeconomic development is established and the PVAR model is applied to verify the interaction. Third, the synergistic level is measured using the coupling coordination model. Finally, its dynamic evolution, regional differences and influencing factors are analysed by using kernel density estimation, the Dagum coefficient decomposition and the GTWR model. ResultsThe results show that ① The green production efficiency of grain first decreases and then increases, and the value is generally stable at approximately 1. ② The coupling coordination level shows an upwards trend of fluctuation; it moves from the mildly dissonant to the barely coordination stage, and many regions belong to the rich grain and poor area. ③ The regional differences show an overall decreasing trend, and the main source is intraregional differences. Environmental regulation has the greatest negative influence on the spatial and temporal divergence of coupling coordination, followed by the positive influence of urbanization.

Land Use/Land Cover Changes in Baicheng District, China during the Period 1954–2020 and Their Driving Forces

Temporal and spatial variations in land use/land cover (LULC) and their driving factors are direct reflections of regional natural and anthropogenic impacts. To explore the pathways for green upgrading development in ecologically fragile areas, this study focused on Baicheng, located in the northern agropastoral transition zone, China. Based on the topographic map of 1954 and Landsat remote sensing images taken from 1976 to 2020, the spatial distribution of LULC data for the study area in 1954, 1976, 1988, 2000, 2010, and 2020 was obtained. The temporal and spatial characteristics of LULC changes and their driving factors under the combined influence of human activities and climate were analyzed using dynamic degree, flowchart, spatial analysis, and principal component analysis. The results indicate that (1) the dominant LULC type in Baicheng is cropland. By 2020, dry land accounted for over 41% of the total area, while the area of saline–alkaline land increased the most, and grassland decreased most drastically. (2) The dynamic degree of different LULC types ranked from highest to lowest as follows: paddy field > unused land and other types > woodland > saline–alkaline land. (3) LULC Changes in Baicheng were mainly influenced by human activities and economic development, especially regional gross domestic product and the sown area of crops. These research findings can provide a scientific basis for formulating sustainable development and protection strategies to ensure regional green upgrading development.

Changes in soil fertility and microbial communities following cultivation of native grassland in Horqin Sandy Land, China: a 60-year chronosequence

BackgroundGrassland conversion to cropland is a prevailing change of land use in traditionally nomadic areas, especially in the Mongolian Plateau. We investigated the effects of grassland conversion followed by continuous cultivation on soil properties and microbial community characteristics in Horqin Sandy Land, a typical agro-pastoral transition zone of Northern China. Soil samples were collected from the topsoil (upper 20 cm) across a 60-year cultivation chronosequence (5, 15, 25, 35 and 60 years) and unconverted native grassland. Soil physico-chemical properties were determined and high-throughput sequencing was used to assess microbial community diversity and composition.ResultsGrassland cultivation resulted in changes to soil properties in both the short and longer term. Initially, it significantly increased soil bulk density (BD), electrical conductivity (EC), soil total nitrogen (TN), available phosphorus (AP) and available potassium (AK) concentrations, while reducing soil water content (SWC) and soil organic carbon content (SOC). Over the next 35–55 years of continuous cultivation, the trend for most of these characteristics was of reversion towards values nearer to those of native grassland, except for SOC which remained highly depleted. Cultivation of grassland substantially altered soil microbial communities at phylum level but there was no significant difference in microbial α-diversity between native grassland and any cropland. However, soil bacterial and fungal community structures at phylum level in the croplands of all cultivation years were different from those in the native grasslands. Heatmaps further revealed that bacterial and fungal structures in cropland tended to become more similar to native grassland after 15 and 25 years of cultivation, respectively. Redundancy analysis indicated that SOC, EC and BD were primary determinants of microbial community composition and diversity.ConclusionsThese findings suggest that agricultural cultivation of grassland has considerable effects on soil fertility and microbial characteristics of Horqin Sandy Land. Intensive high-yield forage grass production is proposed as an alternative to avoid further native grassland reclamation, while meeting the grazing development needs in the ethnic minority settlements of eco-fragile regions.

Variation characteristics of climatic potential yield and resources utilization efficiency of maize under the background of climate change in agro-pastoral transitional zone of Gansu, China.

To evaluate the effects of changes in radiation, accumulative temperature, precipitation and climate resources on climate resource utilization efficiency in the agro-pastoral transitional zone of Gansu Province, we analyzed the variations of climate potential yield loss rate, light, heat, precipitation and comprehensive utilization efficiency of climate resources in the agro-pastoral transitional zone of Gansu Province by the step-by-step correction and indexation method, with the 1971-2020 weather data from 45 meteorological sites and the maize phenology data. The results showed that solar radiation showed fluctuating downward trend at a rate of -22.03 MJ·m-2·(10 a)-1, the accumulative ≥11 ℃ temperature showed significant upward trend at a rate of 60.89 ℃·(10 a)-1, the precipitation showed slow upward trend at a rate of 2.05 mm·(10 a)-1 during the study period. The climate potential yield loss rate due to temperature and precipitation limitations was relatively high in Gannan and the northern part of Longzhong, while it was relatively low in the most areas of Longdong. Except for the central part of the study area and part of Longdong, the climate potential yield loss rate due to temperature and precipitation limitations in other regions of the study area showed decreased trend at the rate of -2.0%·(10 a)-1 and -0.6%·(10 a)-1. The low-value areas of light and heat utilization efficiency distributed in the northern and southern parts of Longzhong and part of Gannan, the low-value area of precipitation utilization efficiency distributed in Gannan, and the low value of comprehensive utilization efficiency distributed in Lanzhou and Baiyin which were 0.41 and 0.47, respectively. Longdong was the most suitable for maize planting, where the climate resources utilization efficiency of maize was highest, followed by Gannan and Longzhong. The average tendency rate of light, heat, precipitation and climate resources comprehensive utilization efficiency in the study area showed increased trend, which were 0.1%·(10 a)-1, 0.07 kg·hm-2·℃-1·d-1·(10 a)-1, 1.17 kg·hm-2·mm-1·(10 a)-1 and 0.05 ·(10 a)-1, respectively, showing a good potential to increase maize yield.

Soil respiration may be reduced by wind via the suppressing of root respiration: Field observation in maize farmland in the agro-pastoral transitional zone, northeastern China

Soil respiration is a major source of atmospheric carbon dioxide (CO2). Intensive exploring on soil respiration in farmland may provide important information for controlling CO2 emissions. However, some important meteorological factors, especially for the wind, have been neglected previously. In this two-season field observation, we measured soil total respiration (Rt) in maize farmland in an agro-pastoral transitional zone in northeastern China, including autotrophic (root) respiration (Ra) and heterotrophic respiration (Rh), using the root-exclusion method. The mean Rt was 4.0 ± 0.8 and 6.1 ± 1.4 μmol·m−2·s−1 in the two growing seasons. The root contribution to the total soil respiration rate (Rc) was 55.5 and 44.1 %, respectively, and both followed an approximately unimodal curve as a function of day of year. Ra and Rh were both positively correlated with the soil temperature. Ra decreased with increasing wind speed, but Rh was not significantly affected; thus, Rc was negatively correlated with the wind speed. The decrease of Rc caused by increased wind speed differed among the growth stages. Significant suppression of Rc was detected at the jointing stage and at maturity. Responses of Rt and its components to meteorological factors differed significantly in magnitude between the day and night. However, Rc decreased with increasing wind speed both during the day and at night. In summary, the decrease of farmland soil respiration by the wind resulted from decreased root respiration and could be regulated by the modifying of artificial windbreaks or by the expanding of row space of the maize planting, thereby reducing carbon dioxide emission. Indeed, this study is only the observation and analysis of some traditional factors, more intensive observations, especially evidence from physiological traits, morphological anatomy and other perspectives are required to confirm this relationship in further studies.

Evaluation of Terrestrial Water Storage Changes and Major Driving Factors Analysis in Inner Mongolia, China.

Quantitative assessment of the terrestrial water storage (TWS) changes and the major driving factors have been hindered by the lack of direct observations in Inner Mongolia, China. In this study, the spatial and temporal changes of TWS and groundwater storage (GWS) in Inner Mongolia during 2003-2021 were evaluated using the satellite gravity data from the Gravity Recovery and Climate Experiment (GRACE) and the GRACE Follow On combined with data from land surface models. The results indicated that Inner Mongolia has experienced a widespread TWS loss of approximately 1.82 mm/yr from 2003-2021, with a more severe depletion rate of 4.15 mm/yr for GWS. Meteorological factors were the driving factors for water storage changes in northeastern and western regions. The abundant precipitation increased TWS in northeast regions at 2.36 mm/yr. Anthropogenic activities (agricultural irrigation and coal mining) were the driving factors for water resource decline in the middle and eastern regions (especially in the agropastoral transitional zone), where the decrease rates were 4.09 mm/yr and 3.69 mm/yr, respectively. In addition, the severities of hydrological drought events were identified based on water storage deficits, with average severity values of 17 mm, 18 mm, 24 mm, and 33 mm for the west, middle, east, and northeast regions, respectively. This study established a basic framework for water resource changes in Inner Mongolia and provided a scientific foundation for further water resources investigation.

Features of Radial Growth Rate of Trees in Agro-Pastoral Transition Zone, Northern China

The Vaganov–Shashkin process-based model was used to explore the variation characteristic of the radial growth rate of Pinus tabulaeformis in the agro-pastoral transition zone in northern China. The tree-ring width chronologies of the four sampling sites were significantly positively correlated with the simulated series (p < 0.01), and the simulated onset and end dates of tree radial growth indicated that April to October was the main growing season. Temperature affects the radial growth rate of tree stems at the start and end of the growing season, while soil moisture availability affects the radial growth rate in the main growing season. Despite the differences in amplitude, the integral growth rate showed a bimodal pattern, which to some extent responded to the hydrothermal configuration of the East Asian summer monsoon climate. Compared with the peak changes in the summer monsoon fringe area in Northwest China, the highest peak of the integral growth rate in this study area appeared around August in the late growing season, reflecting the adaptability of trees to the local climatic environment. The average values of the integral growth rate and rate due to soil moisture, inferred from extreme wide-ring and narrow-ring years, were significantly different (p < 0.01), while the average growth rates due to temperature were not significant (p > 0.05). The analysis results indicate that moisture availability is a key limiting factor for the radial growth of Pinus tabulaeformis. Our study provides valuable knowledge about the growth processes of the main tree species related to the hydroclimatic variables in northern China and offers a new perspective on mitigating the adverse effects of a warmer climate on the forest in the semi-arid region in the future.

Is elemental stoichiometry (C, N, P) of soil and soil microbial biomass influenced by management modes and soil depth in agro-pastoral transitional zone of northern China?

Is elemental stoichiometry (C, N, P) of soil and soil microbial biomass influenced by management modes and soil depth in agro-pastoral transitional zone of northern China?

Enhancing Ecosystem Services in the Agro-Pastoral Transitional Zone Based on Local Sustainable Management: Insights from Duolun County in Northern China

Ecosystem and associated ecosystem services (ESs) in the agro-pastoral transitional zone of northern China (APTZNC) are sensitive to climate change and human activities. Essential to designing targeted policy interventions toward achieving sustainability in the APTZNC is a comprehensive understanding of the spatiotemporal changes in ESs and their drivers. This study identified the spatiotemporal changes in six ESs in Duolun County from 2000 to 2017. The impacts of drivers—temperature, precipitation, wind speed, vegetation cover (FVC), land use/cover (LULC), soil type, altitude, and slope—on the changes in the ESs in the county and its ecological production zones were then explored. The results indicated that the six ESs improved during the study period. The drivers influencing changes in ESs over time exhibited similarities across regions. Although FVC contributed to improvements in the food supply, grass production, carbon sequestration, and soil wind erosion (SLwind), it also reduced water yield, which may exacerbate the water shortage in arid and semi-arid areas. In regions where the ecology was in the recovery phase, especially in slope farmland, the inhibition of soil water erosion (SLwater) by FVC was easily offset by the higher SLwater potential from increased precipitation. The decrease in wind speed improved the regional ESs, whereas the increase in temperature posed a threat to SLwind. The drivers affecting the spatial patterns of ESs varied among zones. Across the three zones, the greater influential drivers of ESs were FVC and LULC. The impacts of topographic drivers and soil type on the distribution of ESs should also be noted in the agro-zone and agro-pastoral zone, respectively. Our study advocated that ES management should be adjusted to local conditions, and differentiated planning policies should be implemented in line with the ecological characteristics in the APTZNC, which will contribute to regional ecological sustainable development.

Predicting and mapping soil magnetic susceptibility in an agro-pastoral transitional zone: Influencing factors and implications

Soil magnetic susceptibility (MS) is a basic soil physical property that is influenced by environmental factors and processes. Mapping MS is fundamental to exploring its spatial pattern, influencing factors and practical applications. However, the traditional spatial interpolation method is difficult to implement in detailed large-scale mapping. Digital soil mapping (DSM) based on environmental factors provides a more effective method. It has been widely adopted in the prediction of soil physiochemical characteristics, but not yet in MS mapping. This study aimed to explore the spatial pattern of soil MS in an agro-pastoral transitional zone (APTZ) of north China, reveal influencing factors of MS, and extract the significance of DSM of MS and its possible applications. Soil samples were collected from two layers (0–5 and 35–40 cm) in an APTZ. For each sample, χlf and χfd were measured. The quantile regression forest (QRF) model was used to predict MS and assess uncertainties. The results indicated substantial spatial variation of MS in APTZ. QRF predicted MS with satisfying accuracy (adjusted R2 = 0.37–0.64). Influencing factors of MS included parent material, topography, and vegetation. The predominant factors varied with MS attributes, depth, and environment. Soil redistribution further complicated the MS spatial pattern. Water erosion resulted in declining topsoil χfd at steep slopes. Topsoil χfd of grassland transect showed higher covariate of variation (8.23%) compared with forest (4.83%). Wind brought exogenous particles with low MS and led to a weaker correlation between topsoil χlf and χfd (p > 0.1) compared with subsoil (p < 0.05). DSM of MS based on environmental factors reveals the undetected influencing factors at a small scale and helps to identify dominant factors in different environments, which provides the possibility of adopting MS in practical works at a large scale.

Influence of Rural Social Capital and Production Mode on the Subjective Well-Being of Farmers and Herdsmen: Empirical Discovery on Farmers and Herdsmen in Inner Mongolia.

Rural areas are crucial to the realization of sustainable development goals (SDGs). Rural social capital is indispensable for these areas to fulfil the SDGs. As China pursues rural revitalization, it is essential to achieve the sustainable development of rural areas within the agropastoral transition zone (APTZ) in northern China. The same applies to the SDGs’ realization in other APTZs across the globe. From the micro perspective of individual farmers and herdsmen, this article collected 732 microscopic datapoints through repeated rural surveys, and adopted the multivariate ordered probit model to empirically analyze how the subjective well-being of farmers and herdsmen in northern China’s APTZ was affected by the individual (person) and collective (community) layers of rural social capital. Specifically, the production mode was introduced to study the relationship between social capital and subjective well-being, and social capital was measured by a self-designed theoretical analysis framework, which covered six dimensions and two layers (person and community). It was verified that the individual social capital and collective social capital were mutually replaceable in terms of the effect on the subjective well-being of farmers and herdsmen. Additionally, this article examined the influence of different production modes on the social capital and subjective well-being of farmers and herdsmen, and discussed how the same amount of social capital contributes differently to the subjective well-being of farmers and herdsmen under different production models. The results showed that: (1) Social capital significantly promoted the subjective well-being of farmers and herdsmen, and social network was the leading contributor among the dimensions of individual social capital, while social trust was the leading contributor among the dimensions of collective social capital. By the contribution to the subjective well-being of farmers and herdsmen, the six dimensions of social capital can be ranked as social network > social trust > social participation > social standard > social fame > common vision. (2) Individual social capital and collective social capital were mutually replaceable in terms of enhancing the subjective well-being of farmers and herdsmen; when the individual social capital was insufficient, the collective social capital would exert a much greater influence on the subjective well-being of farmers and herdsmen; when the individual social capital grows, the farmers and herdsmen would depend less on collective social capital. (3) The same amount of social capital contributes differently to the subjective well-being of farmers and herdsmen under different production models; by contribution strength, the production models can be ranked as pure herdsmen (PH) > pure farmers (PF) > non-farmers/herdsmen (NFH) > farmers + herdsmen (FH). Finally, several policy suggestions were provided to improve the subjective well-being of farmers and herdsmen in APTZ. The results show that collective social capital eliminates the negative effect of individual social capital shortage on the subjective well-being of farmers and herdsmen. Thus, it is suggested to consider not only the construction of macroscopic hardware environment, but also to roll out policies and measures to improve the subjective well-being from the micro perspective of farmers and herdsmen. These suggestions are concentrated on the implementation of China’s rural revitalization strategy, and the creation of relevant institutions and cultural environments, as well as the optimization of the internal hierarchy of farmers and herdsmen’s social capital. The research results may help to promote the subjective well-being of farmers and herdsmen in rural areas within the APTZs of China and the world, and provide a reference and a path to realize SDGs in China and similar places across the globe.

Spatial soil moisture estimation in agro-pastoral transitional zone based on synergistic use of SAR and optical-thermal satellite images

Synthetic Aperture Radar (SAR) Sentinel-1 (S1) surface soil moisture (SSM) retrieval is promising but challenging in canopy areas. Additional data from optical-thermal infrared (TIR) sensors (e.g., Moderate Resolution Imaging Spectroradiometer, MODIS) have potential to compensate for SSM monitoring from single S1 product, suggesting their synergistic use for SSM retrieval in vegetated terrains. A physical, straightforward and non-calibration synergy method of SAR S1 and optical-TIR MODIS was proposed in this study to enhance SSM estimation in an agro-pastoral transitional zone. Change detection for S1 backscatter (σ°) and simplified triangle method representing land surface temperature (LST) – normalized difference vegetation index (NDVI) space (Ts-VI) for MODIS, were combined under a synergistic framework regarding vegetation conditions. The synergy method performance was evaluated against in-situ soil moisture sites for different phenological stages. Correlation analysis results indicated that S1 σ° is highly sensitive to SSM in non-growing season, whereas MODIS LST is negatively linked to root-zone soil moisture during summer crop growth as the seasonal vegetation effect that can be explained via the observed trapezoidal Ts-VI shape. For the synergy, S1 is mainly involved in during non-growing period, while major contribution in growing period was from MODIS, which accounted for 90% improvements in correlation (R, 0.29 – 0.55) and 30% for Root-Mean-Square Error (RMSE, 0.093 – 0.065 m3m−3) during a four-month crop growth as compared to single S1 product. For entire period, the synergy method outperformed single S1 over all sites, where the average R and RMSE improved 30% (0.46 – 0.60) and 14% (0.070 – 0.060 m3m−3), respectively, with highest values (R = 0.73 and RMSE = 0.039 m3m−3) observed in a maize site. This synergy suggests a suitability of integrating optical-TIR data to improve SAR SSM estimation in agricultural lands, especially over the crop growth period when water is a major limiting factor.

Response of Biodiversity, Ecosystems, and Ecosystem Services to Climate Change in China: A Review

Climate change is having a significant impact on the global ecosystem and is likely to become increasingly important as this phenomenon intensifies. Numerous studies in climate change impacts on biodiversity, ecosystems, and ecosystem services in China have been published in recent decades. However, a comprehensive review of the topic is needed to provide an improved understanding of the history and driving mechanisms of environmental changes within the region. Here we review the evidence for changes in climate and the peer-reviewed literature that assesses climate change impacts on biodiversity, ecosystem, and ecosystem services at a China scale. Our main conclusions are as follows. (1) Most of the evidence shows that climate change (the increasing extreme events) is affecting the change of productivity, species interactions, and biological invasions, especially in the agro-pastoral transition zone and fragile ecological area in Northern China. (2) The individuals and populations respond to climate change through changes in behavior, functions, and geographic scope. (3) The impact of climate change on most types of services (provisioning, regulating, supporting, and cultural) in China is mainly negative and brings threats and challenges to human well-being and natural resource management, therefore, requiring costly societal adjustments. In general, although great progress has been made, the management strategies still need to be further improved. Integrating climate change into ecosystem services assessment and natural resource management is still a major challenge. Moving forward, it is necessary to evaluate and research the effectiveness of typical demonstration cases, which will contribute to better scientific management of natural resources in China and the world.

The 300 years cropland changes reflecting climate impacts and social resilience at the Yellow River–Huangshui River Valley, China

Changes of croplands often reflect the combined impacts of both natural environment changes and social agriculture activities. Such reflections manifested more significantly in agro-pastoral transition zones, e.g. in the North and West of China. In this study, cropland changes at the Yellow River–Huangshui River Valley, as a typical agro-pastoral transition zone in northwestern China, is analyzed in terms of the changes of the total amount and spatial pattern over the past 300 years (majorly in the Qing Dynasty). The reconstructed cropland data indicated a fluctuation of cropland areas in accordance with changes of regional climate conditions, natural hazards, agriculture activities and socio-economic development. A significant decrease of cropland in the middle of the 19th century was detected, which appeared a good consistency with the frequent natural disasters in the same period and the climate cooling trend across the whole 19th century. Though in the worsening conditions, three major copping strategies maintained and developed the local socio-agriculture system: (a) land reclamation policy encouraged immigrants and military farming; (b) construction of water conservancy facilities increased agricultural productivity; (c) increasing local Tibetans learned and transformed to implementing both agriculture and pastoral productions with flexibilities depending on climate conditions. The study demonstrates that the social-agriculture system held certain resilience, which can be maintained and enhanced with appropriate political, engineering, economic, and social-cultural measures.

Farmers and herders reclaim cropland to adapt to climate change in the eastern Tibetan Plateau: a case study in Zamtang County, China

The Tibetan Plateau (TP) has experienced rapid warming since the 1980s. Previous studies, mainly based on theoretical models and remote sensing interpretation at regional scales, have revealed cropland expansion in high-altitude areas on the TP and identified the agro-pastoral transition zone as the major cropland expansion area. However, few studies have investigated whether farmers and herders reclaim cropland and which factors affect their reclamation decisions. This study aimed to investigate the impact of climate change on the decisions of farmers and herders regarding cropland reclamation in the eastern TP, with Zamtang County considered in a case study. By adopting the participatory rural appraisal method, data were collected from interviews with 169 households in Zamtang County, and the determinant factors of cropland reclamation decisions were examined with the assistance of a probit model. The results showed that (1) cropland reclamation increased from agricultural villages and agro-pastoral villages to pastoral villages with increasing altitude under the effects of climate warming and population pressure. Thus, this case study confirmed the findings of previous studies based on theoretical models and remote sensing interpretation. (2) The perception of changes in precipitation and spring frost, borrowed money, and government subsidies imposed significant negative effects on the reclamation decisions of farmers and herders. The income obtained from gathering Cordyceps fungi, distance from residence to town, and number of plots attained significant positive correlations with reclamation decisions. This study provides a reference for local governments regarding the implementation of measures to promote the livelihood transition of farmers and herders, which could help relieve population pressure and reduce the ecological risks related to cropland reclamation.