Ecological Environment Change Research Articles

Quantile Analysis of Long-Term Trends of Near-Surface Chlorophyll-a in the Pearl River Plume

The concentration of chlorophyll-a (CHL) is an important proxy for the amount of phytoplankton biomass in the ocean. Characterizing the variability of CHL in the Pearl River Plume (PRP) is therefore of great importance for the understanding of the changes in oceanic productivity in the coastal region. By applying quantile regression analysis on 21-year (1998–2018) near-surface CHL data from satellite observations, this study investigated the long-term trend of CHL in the PRP. The results show decreasing trends (at an order of 10−2 mg m−3 year−1) for all percentiles of the CHL in the PRP, suggesting a decrease in productivity in the past two decades. The trends differ fundamentally from those in the open regions of the northern South China Sea with mixed signs and small magnitudes (10−4 mg m−3 year−1). The magnitudes of the trends in high quantiles (>80th) are larger than those in low quantiles (<50th) in the PRP, indicative of a decrease in the variance of the CHL. The area with apparent decreasing trends is restricted to the PRP in summer and extends to the entire coastal region in winter. This decrease in CHL is possibly attributed to the decrease in nutrient input from the river runoff and the weakening of wind-forced mixing rather than the changes in sea surface temperature. This study extends our knowledge on the variability of CHL in the PRP and provides references to the investigation of the changes of the coastal ecological environment.

Remote sensing monitoring and evaluation of spatial and temporal changes of ecological environment in Hangjin Banner, Inner Mongolia, China

With the ecological environment problems being increasingly prominent and globalized, more and more attention is paid to environmental protection. Remote sensing technology is important in monitoring and evaluating ecological environment. In this study, based on the Landsat image data of 1992, 2000, 2008 and 2017, the remote sensing ecological index (RSEI) was constructed to monitor and evaluate the quality of ecological environment in Hangjin Banner, Inner Mongolia, aiming to provide a theoretical basis for local ecological environment protection. The results showed that from 1992 to 2017, the quality of ecological environment in Hangjin Banner was generally poor, with RESI grades of poor and inferior. The mean value of RESI increased from 0.31 (1992) to 0.37 (2008) and then decreased to 0.30 (2017). During the period, the change range was mainly from one grade to the next. In terms of spatial distribution, the regions with poor ecological environment quality were mainly in the desert plains of the central and western regions, that with good ecological quality mainly along the Yellow River and in the southeast, and that with large fluctuation of ecological quality grade mainly in the desert edge along the Yellow River and in the hilly and gully regions in the east. During the research period, the center of gravity of each ecological grade in Hangjin Banner substantially shifted, with spatiotemporal fluctuations. Our results suggest that ecological environment of Hangjin Banner was fragile and unstable. Ecological construction can promote the quality of ecological environment, but resources and land use should also be reasonably allocated.

Recent Progress in the Molecular Investigations of Yellow Horn (Xanthoceras sorbifolia Bunge)

Yellow horn (Xanthoceras sorbifolia bunge) is a small endemic oilseed energy plant native to the northern part of China, which can survive in desert, semi-arid and arid environment, and therefore has important economic, environmental and ecological value for biodiesel production, agricultural production and ecological restoration. With the increased concerns on the energy shortage and ecological environment change, yellow horn has won worldwide attention in recent years. However, the systematic molecular analysis of yellow horn using the advanced molecular biological techniques still remain limited. Considering this, we summarized the recent advances in the investigations of yellow horn at molecular level and discussed the future research directions and prospects. This review would provide guidance and open new horizons towards the futuristic development and prospects for further exploitation and utilization of yellow horn.

Long time series of remote sensing to monitor the transformation research of Kubuqi Desert in China

Desertification is one of the major challenges facing humanity. However, there is no effective way to effectively control desertification. China is experiencing serious desertification, and to alleviate this trend, China has implemented a series of major ecological projects since 1978 and has achieved good results. Remote sensing can record changes in surface processes over a long period of time and can play an active role in desertification monitoring and governance. However, there is no systematic remote sensing monitoring method for desertification. In response to this problem, this paper takes a demonstration and reconstruction project of the United Nations desertification in the Kubuqi Desert in China as an example. By using the 30-year time series Landsat data, we propose a new remote sensing monitoring method for the impact of ecological restoration engineering of desert to monitor the spatial and temporal evolution pattern of the Kubuqi Desert in the past 30 years and the impact of the human ecological reconstruction project on the location of land use types in the Kubuqi Desert. In addition, the method analyzes the impact of the Kubuqi Desert Reconstruction Project on the local ecological environment changes from time and space perspectives. The results show the following: (1) During 1991–2017, the Kubuqi Desert Reconstruction Project improved the cultivated land, afforestation, and the Yellow River Drainage to control the sand and in conjunction with other renovation projects improved the ecological environment. The area of the sandy land decreased from 45.76% to 28.66%, while the areas of the waters wetland and artificial forest (shrub), urban construction land, and agricultural land increased; (2) There are obvious time and space differences in the transformation, and the vegetation cover increases as a whole. The obvious change areas are mainly distributed in the riverbank irrigation area of the Yellow River section of the Kubuqi Desert and the torrents such as the Maobula Kong, Buer Taigou and Heilaigou and other mountain gully areas. The relevant experience of the Kubuqi Desert Reconstruction Project in China has important reference significance for world desertification transformation.

Disrupting flight increases sleep and identifies a novel sleep-promoting pathway in Drosophila.

Sleep is plastic and is influenced by ecological factors and environmental changes. The mechanisms underlying sleep plasticity are not well understood. We show that manipulations that impair flight in Drosophila increase sleep as a form of sleep plasticity. We disrupted flight by blocking the wing-expansion program, genetically disrupting flight, and by mechanical wing perturbations. We defined a new sleep regulatory circuit starting with specific wing sensory neurons, their target projection neurons in the ventral nerve cord, and the neurons they connect to in the central brain. In addition, we identified a critical neuropeptide (burs) and its receptor (rickets) that link wing expansion and sleep. Disrupting flight activates these sleep-promoting projection neurons, as indicated by increased cytosolic calcium levels, and stably increases the number of synapses in their axonal projections. These data reveal an unexpected role for flight in regulating sleep and provide new insight into how sensory processing controls sleep need.

Investigation and validation of algorithms for estimating land surface temperature from Sentinel-3 SLSTR data

Land surface temperature (LST) is an important indicator of global ecological environment and climate change. The Sea and Land Surface Temperature Radiometer (SLSTR) onboard the recently launched Sentinel-3 satellites provides high-quality observations for estimating global LST. The algorithm of the official SLSTR LST product is a split-window algorithm (SWA) that implicitly assumes and utilizes knowledge of land surface emissivity (LSE). The main objective of this study is to investigate alternative SLSTR LST retrieval algorithms with an explicit use of LSE. Seventeen widely accepted SWAs, which explicitly utilize LSE, were selected as candidate algorithms. First, the SWAs were trained using a comprehensive global simulation dataset. Then, using simulation data as well as in-situ LST, the SWAs were evaluated according to their sensitivity and accuracy: eleven algorithms showed good training accuracy and nine of them exhibited low sensitivity to uncertainties in LSE and column water vapor content. Evaluation based on two global simulation datasets and a regional simulation dataset showed that these nine SWAs had similar accuracy with negligible systematic errors and RMSEs lower than 1.0 K. Validation based on in-situ LST obtained for six sites further confirmed the similar accuracies of the SWAs, with the lowest RMSE ranges of 1.57–1.62 K and 0.49−0.61 K for Gobabeb and Lake Constance, respectively. While the best two SWAs usually yielded good accuracy, the official SLSTR LST generally had lower accuracy. The SWAs identified and described in this study may serve as alternative algorithms for retrieving LST products from SLSTR data.

Evaluation of Geological and Ecological Bearing Capacity and Spatial Pattern along Du-Wen Road Based on the Analytic Hierarchy Process (AHP) and the Technique for Order of Preference by Similarity to an Ideal Solution (TOPSIS) Method

As China is a mountainous country, a large quantity of the population has to live in mountainous areas due to limited living space. Most of them cluster along roads in areas with relatively poor traffic conditions. In view of the spatial-temporal change of complex geological and ecological environment along the roads in the mountains, this paper takes the Dujiangyan- Wenchuan (Du-Wen) Road as the research object, and puts forward a method to evaluate the bearing capacity of regional geological and ecological environment based on the evaluation of quality and spatial coupling of bearing capacity. For the needs of the current research, a total number of 20 indicators from three aspects of geological, ecological, and social attributes were selected to carry out the assessment. Based on the GIS platform and evaluation index system, the weight of each evaluation index factor is determined by Analytic Hierarchy Process (AHP). The comprehensive quality of bearing capacity is calculated by the Technique for Order of Preference by Similarity to an Ideal Solution (TOPSIS) algorithm through weighted superposition, which comes to result in the evaluation of geological, ecological, and social environment. Afterward, the bearing capacity of the study area is classified, combining the results of hot spot analysis. The study shows that the spatial distribution of geological, ecological, and socio-economic bearing capacity in this area is highly aggregated, with 31.12% of the area to be classified as suitable construction area, 31.98% as backup reserve area, and 36.79% as unsuitable construction area. The studied triangle area, composed of Yingxiu Town, Xuankou Town, and Dujiangyan City, presents a large area of a high-valued aggregation area, with comprehensive high quality bearing capacity and spatial aggregation, which is better for planning and construction.

Study on hierarchical transformation mechanisms of regional ecological vulnerability and its applicability

Abstract This study analyzed hierarchical change patterns of regional ecological vulnerability by coupling GIS data and fuzzy analytic hierarchy process. It identified the spatiotemporal features of eco-environment and major environmental problems in Weihe Plain, a typical urban agglomeration in China. Previous studies on regional ecological vulnerability have been focusing on evaluating ecological vulnerability status and developing assessment methods, while ignoring the mechanisms of vulnerability transformation from one to another level. This study further proposed a subjective evaluation model for ecological vulnerability classification and transformation analysis in a multi-index hierarchical evaluation system. The results indicated that ecological vulnerability index was higher in the urban areas than the surrounding counties from 2000 to 2012, which had a great relationship with the impacts of urbanization on ecological vulnerability. The light ecological vulnerability level was found to be relatively variable over the years and have the greatest impact on the change of regional ecological environment. Analysis with the transformation matrix model found that the degree of regional ecological environment stability was regulated by two mechanisms: 1) The proportion of the constant ecological vulnerability level is essential for maintaining the stability of ecological environment; and 2) the difference between the area percentages of decreased and increased vulnerability determines the trend of ecological vulnerability changes. As verified by applications to two nearby regions, this ecological vulnerability transformation model can be used to monitor the dynamics of ecological vulnerability and identify the leading ecological vulnerability level in other large geographical areas.

Effects of Seasonality, Tree Species and Urban Green Space on Deciduous Leaf Litter Decomposition in Lithuania

Understanding ecological processes and environmental change in different urban green spaces is an important challenge to secure human well-being. The variety of urban green spaces provides a platform to generate knowledge on how urban environments affect tree leaf decomposition and quality. We measured the leaf litter decomposition of four dominant native deciduous tree species from five different urban green spaces over three time periods in Kaunas, Lithuania. Using the modified litter bag technique, we calculated the decomposition of 60 leaf litter samples for 4, 8, and 12 months respectively. For each leaf litter sample, we determined total N, total P, and organic C. Results indicated that the decomposition of leaf litter amongst tree species, urban green spaces and seasonality (time) were significantly different. The leaf litter of Betula pendula and Acer platanoides from street green spaces decomposed fastest during the spring-summer period. Quercus robur showed small but significant leaf litter loss differences between the green spaces, with the leaf litter from peri-urban forest decomposing the fastest. A decreased C:N ratio for Q. robur leaf litter showed accelerated leaf litter decay. In conclusion, our results show that the ecological processes of leaf litter decomposition, differs between tree species, type of urban green spaces and seasonality and thus must be considered in urban town planning to help maintain urban environments.

SPATIAL DIFFERENTIATION CHARACTERISTICS OF ALPINE GRASSLAND PATCHES IN THE SOURCE REGION OF THE YELLOW RIVER AND ITS ECOLOGICAL SIGNIFICANCE

Abstract. The source region of the Yellow River is an important source of water conservation in the Qinghai-Tibet Plateau. It is also an animal husbandry base that has a major impact on China. Its ecological environment changes will have a major impact on the safe and sustainable development of water use in Asia. The alpine grassland is an important part of the ecosystem of the Yellow River source area, and the spatial differentiation characteristics of the plaque have important indication significance for the ecological environment succession. In this paper, the alpine grassland in the source region of the Yellow River is taken as the research object. Based on the aerial image of the unmanned aerial vehicle, the EGI threshold method is used to extract the vegetation patches and the bare plaques to obtain high-precision field monitoring data, and the landscape ecology principle is used to analyze the four types of alpine grassland. The morphological characteristics of plaques in different grassland types are studied, and the spatial indications of spatial sequences are used to study the ecological significance of plaque succession. The results show that the number of plaques in swamp meadows, alpine meadows, degraded meadows and alpine grassland increase significantly, the degree of fragmentation increase, and the area of vegetation patches decrease significantly. The area of bare plaque increase significantly as the main trend; the distribution and dominance of landscape plaques are analyzed; the swamp meadow have the highest spread, the best aggregation, and the largest proportion of vegetation plaque, the highest degree of dominance, alpine grassland Conversely; in terms of the complexity of landscape patch shape; the area-weighted shape index and the area-weighted fractal dimension increase with the order of swamp meadows, alpine meadows, degraded meadows and alpine grasslands, tending to be complex plaque space. The ecological risk intensity index of alpine grassland in the source region of the Yellow River varies greatly, and the ecological risk of alpine grassland is high. The results of this study provide data support for elucidating the mechanism of spatial differentiation of alpine grass plaques, provide scientific assistance for grassland monitoring and management in the source area, and it provides an important basis for further discussion on ecological system protection, animal husbandry economy and sustainable development of alpine grassland in China. At the same time, it provides important theoretical support and ecological indication significance for the understanding of the alpine grassland ecosystem succession in the source area of the Yellow River.

MONITORING AND ASSESSMENT OF ECOLOGICAL CHANGE IN COASTAL CITIES BASED ON RSEI

Abstract. With the speeding up of urbanization process, ecological problems, such as unsustainable land use and environmental pollution,have emerged one after another in cites. Nowadays, green development and ecological priority are the important concepts and trends of the current new urban planning in China. In this study, Pingtan County, a coastal city in Fujian Province, China, was taken as the research area. Based on two Landsat 8 remote sensing images (2016, 2017), and two Sentinel-2A remote sensing images (2016, 2017), we first adopt the modified normalized water body index (MNDWI) to mask the water body. Four indicators, including greenness, humidity, dryness and heat were extracted to synthesize the remote sensing ecological index (RSEI), which were obtained by principal component analysis method. Based on the RSEI values acquired from Landsat 8 and Sentinel-2A images, the ecological environment change trend in Pingtan County was evaluated .The experimental results show that: 1) The RSEI indicators based on Landsat 8 and sentinel data all show a downward trend, but due to due to the influence of image spatial resolution and PCA weighting coefficient, the RSEI index has different degrees of decline. 2) The main reason for the decline in RSEI is the increase in NDSI indicators. Compared with July 2016, the bare ground increased in April 2017. Although the NDVI has increased, the overall trend is still declining. Therefore, it is necessary to ecologically return farmland and improve vegetation coverage in the future development process. 3) In recent years, the ecological quality of new construction land near drinking water sources has declined, so it is necessary to strengthen monitoring of changes in the region.

A load-carrier perspective examination on the change of ecological environment carrying capacity during urbanization process in China

Urbanization has prompted a dramatic social and economic development during the past decades in China. As a long-term national strategy, urbanization can only be implemented effectively with sufficient and sustainable ecological environment resources. By appreciating that the ecological environment carrying capacity (EECC) is a yardstick for guiding the practice of sustainable urban development, it is therefore pressing to examine the change of EECC adequately, so that the sustainable urbanization can be addressed appropriately. This paper develops a new method from load-carrier perspective to explore the change of EECC performance in the rapid urbanizing China. The EECC performance on water, land, atmosphere and overall perspectives were measured for 30 provinces in China based on the established method. The results show that most provinces in China are experiencing an improving EECC performance during the urbanization process, particularly with an obvious progress in land dimension. In referring to the spatial difference of overall EECC performance, the gap between 30 provinces has been narrowing during surveyed years. However, few provinces including Chongqing, Shandong and Jiangxi have undergone a degradation in overall EECC performance. The EECC performance in atmosphere dimension is still considered as a challenge faced by most provinces, evidenced by high level of PM2.5 concentration. These research findings provide valuable references not only for Chinese governments to formulate effective policy instruments and strategy measures for improving ecological environmental carrying status, but also for researchers to further study in the ecological environment carrying capacity in the context of other countries.

Ecological quality assessment and the impact of urbanization based on RSEI model for Nanjing, Jiangsu Province, China

Using Landsat 5/TM and Landsat 8/OLI images in 2000 and 2017, based on remote sensing ecological index (RSEI) model, combined with meteorological observation data and socio-economic data in Nanjing from 2000 to 2017, we analyzed and evaluated the ecological environment changes and the characteristic ecological areas in Nanjing. The results showed that the average RSEI of Nanjing decreased from 0.626 to 0.618 during 2000-2017. The RSEI values could be divided into five grades: bad, poor, fair, good and excellent. The proportion of area above good grade decreased from 61.0% to 57.1%, while that below poor grade increased slightly. Compared with 2000, the proportion of areas with improved ecological environment quality was 34.5%, 34.7% area had deteriorated, and 30.8% area remained unchanged in 2017. Among them, the ecological quality of main urban area had significantly improved, and the area with improved ecological quality exceeded that of deterioration. The ecological quality of new urban area and suburbs had deteriorated. The area with poor ecological environment exceeded the area of improvement. Among the three ecological protection areas, the ecological quality of Zijin Mountain was significantly better than that of Laoshan Mountain and Jiangxinzhou. The urbanization rate was negatively correlated with RSEI, with a correlation coefficient of -0.91. The urbanization process would have negative impacts on the ecological environment in general. However, strict protection and management measures could maintain the good ecological environment even improve it.

Sustainable Development of Industry-Environmental System Based on Resilience Perspective.

The contradiction between industrial development and ecological environment pressure has been becoming progressively severe. Under this circumstance, more attention has been paid to the balance between industrial economic development and environmental deterioration and resource consumption. Thus, this study takes the development of industry and ecological environment change as an interactive system consideration, and comprehensively evaluates the changes of the industrial–environment system on resilience perspective with innovation. Accordingly, this paper establishes a comprehensive evaluation model. The Environmental Performance Index (EPI) and Industrial Structure Entropy (ISE) were applied to analyze the current environment pressure and industrial conditions. Then, the catastrophe theory was used to evaluate the reasonably established index system for the impact of various factors in the industrial–environment system on the resilience change. Next, the adaptive cycle model was used to analyze the evaluation results and reveals the dynamic change law of the system in the resilience range. Finally, Chengdu was selected as the research area to verify the validity of the whole study. It was found that the resilient change process of Chengdu industry–environmental system accord with the four-stage theory of adaptive cycle model. The resilient level of the city was also improved during the cycle. The result of the study can be useful to future plans and decisions. What is more, understanding the characteristics of each stage will be helpful to determine the reasonable implementation time of each key factor and improve its feedback ability.

Changes in Agricultural Development and Ecological Environment in Manchuria in the 20th Century -with an emphasis on the question of Expansion of corn field

Changes in Agricultural Development and Ecological Environment in Manchuria in the 20th Century -with an emphasis on the question of Expansion of corn field

AN IMPROVED PIXEL COUNTING METHOD FOR ARBITRARY ZONAL STATISTICS ON GLOBELAND30

Abstract. Global Land cover is essential for ecological study, climate and environmental changes, resources management, human activities as well as sustainable development. With the finer resolution products arising, e.g. GlobeLand30, quantitative analysis of the earth dynamics based on raster data sets is becoming possible. For arbitrary zonal statistics, pixel counting method is an operational practice widely used for area estimation by counting the number of classified pixels and multiplying by the area represented by each pixel, though uncertainty. For large statistical regions, the error of the projection can not be neglect. Thus an rectified PC method is developed for arbitrary zonal statistics of all raster data sets. The test result shows that the method performance is stable and easy to zonal statistics.

Environment-Pathogen Interaction in Plant Diseases

nvironment is an important aspect of plant ecology and global environmental change is of major concern that is caused by natural and human activities which alter greenhouse gas concentrations in the atmosphere. The increase in concentration of greenhouse gases is foreseen to continue to raise average global temperature. Elevated concentration of carbon dioxide with increased temperature influences the plant-disease interactions. The environment has an influence over the development as well as temporal and spatial dissemination of plant diseases. The result of change in environment can either be favorable, non favorable or impartial, as these changes can either lessen, expand or have no influence on diseases as each disease may be attributed differently to these variations in accordance to an area or time of year. Variation in environmental conditions is said to be influencing plants in natural ecosystems all around the world and change in climate directly impacts crops, along with their synergy in accordance with the microbial population. The important elements governing magnification and spread of plant diseases are temperature, moisture, light and carbon dioxide concentration. Environment change causes a significant impact on germination, reproduction, sporulation, spore dispersal, along with perforation by pathogens as a vulnerable host will not be invaded by a pernicious pathogen if the environmental conditions are not facilitative for disease. The environment influences all life stages of host as well as that of a pathogen and as a result induces an opposition to various pathosystems. Resistance mechanisms of plants, including effector-triggered immunity (ETI), pattern-triggered immunity (PTI) and defence network of hormones, are particularly influenced by environmental elements. Pathogenic virulence mechanisms like fabrication of virulence proteins and toxins, and also spore germination and survival are governed by factors such as atmospheric carbon dioxide, temperature and humidity. A large number of in-vitro experiments to understand interactions between plants and pathogens rely on predetermined pathosystems by making use of ascertained environmental conditions which take into consideration relatively small part of vital plant–pathogen–environment interactions occurring in natural ecosystem. Thus, there is a need to research effectiveness of disease management strategies that is, to assess current management strategies to understand multifaceted nature of environment-pathogen interactions for production of crops that are irrepressible to environment change.

Economic Globalization Impacts on the Ecological Environment of Inland Developing Countries: A Case Study of Laos from the Perspective of the Land Use/Cover Change

Economic globalization promotes the economic development of underdeveloped regions but also influences the ecological environments of these regions, such as natural forest degradation. For inland developing regions with underdeveloped traffic routes, are the effects on the ecological environment also as obvious? To reveal the response characteristics of the ecological environment of the inland developing countries to globalization, we took Laos as an example, and used the land use/cover change data and also its exports and imports data to analyze the ecological environment change since the millennium. Land use transfer matrix analysis showed that Laos had encountered a large conversion of 14.43% natural forest to plantation forest since 2000 to 2017, and also a degradation of 5.94% natural forest to shrubland and grassland. Landscape pattern analysis showed that these changes were the main reasons of the fragmentation of ecological patches, which would lead to a reduction in biodiversity. More, topographic analysis further showed that natural forest degradation mainly took place in high-altitude and large slope areas, which could increase the potential of natural hazards such as floods. Coupling analysis with its exports and imports data indicated that economic globalization still had a significant impact on the country’s ecological environment although Laos is an inland developing country. Laos should strengthen the regulation of renewable resources such as forests and water resources, to avoid losing the renewable resources market while still enjoying the dividends of economic globalization. At the same time, it is necessary to accurately evaluate the indirect impacts of development on neighboring countries to ensure sustainable development.

Study on sumatran rhinoceros based on ecological game model

In this paper, the survival status of the sumatran rhinoceros was studied, the ecological game of the sumatran rhinoceros was put forward according to the critically endangered status, the differential dynamical system model of the sumatran rhinoceros and food was established, and the relationship between the parameters in the model and the land and environmental conditions was discussed. According to the value range of the four indicators, the ecological environment was divided into three conditions of food abundance, food shortage and critical state, so as to obtain the impact and requirements of the sumatran rhinoceros on the ecological environment. The results show that the sumatran rhinoceros lives in cycles under different land area conditions. Analysis from the perspective of the evolution of the ecological environment, the sumatran rhinoceros and food together form an ecological system, the abundant of food can cause sumatran rhinoceros populations, the number of the sumatran rhinoceros too much then can reduce the quantity of food, after reducing the number of the sumatran rhinoceros and will cause the increase in the number of food, this phenomenon is called ecological cycle, namely three environmental situation circulation phenomenon over time. Finally, according to the differential equation, migration is one of the ways that the sumatran rhino can continue to survive when the ecological environment changes.

A 120-year sedimentary record and its environmental implications, in a dated marine sediment core from Daya Bay in the northeastern South China Sea

In a Daya Bay 120-year dated sediment core(1892–2010), analyses were conducted of grain-size, water content, TOC, TIC, TC, loss on ignition, TN, BSi and TP, to reconstruct the anthropogenic activity history. The entire core was divided into four periods. Multi-parametric measurements, their ratios and interrelations are seen to clearly reflect the development of agriculture, aquaculture, industry and social economy surrounding Daya Bay. The trends of TOC, TOM and BSi after 1990 may be due to mass input of nutritious matter from aquaculture and industry, whereas the trends of BSi, TOC and TOM between 1960 and 1990 were owing to aquaculture and agriculture. Two peaks of BSi, TOC and TOM in 1994 and 2002 imply that the mass input of cooling water from nuclear power plants may be a significant contributor to ecological environment changes. Finally, some proposals were put forward for the healthy and sustainable development of Daya Bay.