JOURNAL OF RESOURCES AND ECOLOGY

In accordance with the General Administration of Press and Publication of the People＇s Republic of China, the Institute of Geographic Sciences and Natural Resources Research （IGSNRR）, Chinese Academy of Sciences （CAS）, has the pleasure to announce that an international Journal of Resources and Ecology （in English） （ISSN 1674-764X） will be published from 2010.

Water resources utilization and eco-environmental safety in Northwest China

Northwest China includes Xinjiang Ugyur Autonomous Region, Qinghai Province, Gansu Province, Ningxia Hui Autonomous Region and Shaanxi Province, covering 308×10^4km^2. It is located in the warm-temperate zone and the climate is arid or semi-arid. Precipitation is very scarce but evaporation is extremely high. The climate is dry, the water resources are deficient, the ecoenvironment is fragile, and the distribution of water resources is uneven. In this region, precipitation is the only input, and evaporation is the only output in the inland rivers, and precipitation, surface water and groundwater change with each other for many times, which benefits the storage and utilization of water resources. The average precipitation in this region is 232 mm, the total precipitation amount is 7003×108m^3/a, the surface water resources are 1891×10^8m^3/a, the total natural groundwater resources are 1150×10^8m^3/a, the total available water resources are 438×10^8 m^3/a, and the total water resources are 1996×10^8m^3/a and per capita water resources are 2278 m^3/a. The water resources of the whole area are 5.94×10^4m^3/（a.km^2）, being only one-fifth of the mean value in China. Now, the available water resources are 876×10^8m^3/a, among which groundwater is proximate 130×10^8m^3/a.

Safety Evaluation of Water Environment Carrying Capacity of Five Cities in Ningxia Based on Ecological Footprint of Water Resources

[Objectives]To make safety evaluation of water environment carrying capacity of five cities in Ningxia based on ecological footprint of water resources.[Methods]With the help of the grey relational model,15 indicators were selected from the natural,economic,and social aspects,and the most influential factors in the three fields were selected.Based on the concept of ecological priority,the water resources carrying capacity of the five cities in Ningxia from 2010 to 2019 was calculated with the help of the water resources ecological footprint model.Then,the indicators of the water resources ecological footprint model were coupled with the existing indicators to establish a comprehensive evaluation indicator system.Finally,the changes of the water environment carrying capacity of the five cities in Ningxia were analyzed with the help of the principal component analysis(PCA).[Results]The ecological pressure of water resources and the ecological deficit of water resources in the five cities were relatively large.Specifically,Yinchuan City had the most obvious deficit of water resources but good carrying capacity;Zhongwei City had a large ecological deficit of water resources,poor carrying capacity,and the largest ecological pressure index of water resources;Guyuan City had low water resources ecological deficit,water resources ecological carrying capacity and water resources ecological pressure index.[Conclusions]Through the analysis of the coupling indicator system,it can be seen that the water environment carrying capacity of the five cities is in an upward trend,indicating that the water environment in each region tends to become better.

Research and Evaluationon Ecotourism Resources of Jilong Valleyin Everest National Nature Reserve

Jilong is a place behind The Himalayas,which is almost isolated from the world.There is typical vertical ecosystem thanks to its special geological environment. So it is honored as “the most abundant species gene warehouse in the Plateau Area”and “the most beautiful valley in the world”.To exploit this valleyis necessary along with the construction of Jilong Porton the border of Sino-Nepal. Based on the research on the spot,the ecological resources there are evaluated and an idea that regards hiking tourism asmain form and ecotourismas the theme is put forward in this paper,which explores a way to develop the valley on the basis of sustainability.

Economic principles and fundamental model of the sustainable utilization of ecological resources

By analyzing the basic rules and measurement principles of the sustainable utilization of ecological. resources and constructing its mathematical model this paper points out that the sustainable utilization of ecological resources is in nature to use the double-period model thousands of times for the dynamic distribution of ecological resources effectively. And it points out that in order to realize the sustainable utilization of ecological resources we must follow the basw principle-non-decreasing ecological capital and put forward corresponding standards, measures, policies and proposals.

The role of social resource of indigenous people in local ecological resource management in China: A preliminary case in Zhangye, Northwestern China

Social resources of indigenous people are valuable wealth, including the social norms, the relational network, belief, attitude as well as the social system which is accumulated from generation to generation. Those social resources are very important for local ecological resource management, which can help diffuseness and communion of skills and traditional conservation techniques for conserving and restoring the ecological sites. Social capital is one indicator of social resources, which is accepted widely. In order to investigate the role of social resources of indigenous people in local ecological resource management, the authors studied the relation between social capital of indigenous people and local ecological resource management, taking Zhangye City as an exam-ple. In this paper, social capital of indigenous people is quantified by constructing social capital index, composed of structural so-cial capital and cognitive social capital; local ecological resource management is quantified by constructing 'Grain for Green Pro-ject' performance index. Based on correlation analysis approach and logistic regression analysis approach, the authors analyzed the relation between social capital and 'Grain for Green Project' performance index, as well as the relations between 'Grain for Green Project' performance index and other factors such as per capita net income, medical treatment and so on. Results showed that the correlation between social capital and 'Grain for Green Project' performance index was positive, the coefficient was 0.761, with P<0.01. An increase of 1 unit in social capital is associated with an increase of 1.550 units in 'Grain for Green Project' per-formance. With factor, such as faction, per capita net income, medical treatment, increasing 1 unit, the 'Grain for Green Project' performance index will increase 3.912, 1.039 and 1.005 units, respectively.

The Research and Practice of Professional Knowledge Sharing and Service: A Case Study of the Geography, Resources, and Ecology Knowledge Service System

Knowledge Sharing and Service is one effective way to eliminate knowledge poverty and promote social development.Existing knowledge sharing and service is mainly provided in some organizations or specific social groups.Besides,a knowledge sharing and service system about geography,natural resources and ecology has not been reported.We proposed a public welfare professional knowledge-sharing and service platform for all members of society in geography,natural resources and ecology.The construction of a knowledge-sharing and service platform is based on five aspects of work：analysis of user requirements,setting standards and drafting policies,aggregating knowledge resources,the technical realization and the maintenance of service.Knowledge resources can be aggregated by using a＂two-step＂strategy.A knowledge-sharing and service system can be implemented by using＂four-tier＂structures that are comprised of resources,resource access,application and service,based on the Hadoop-distributed cluster architecture.It has been proven that adhering to the idea of co-building and co-sharing,and using the mechanism of＂payment is equal to benefit＂can effectively promote the gathering of knowledge resources,and arouse the enthusiasm of all members of society to participate in knowledge sharing and service,to achieve the objective of narrowing the knowledge gap between social groups.

The Preliminary Research and Analysis of Ecological Environment Construction in the Small River Basin——A Case Study in Taojia Small River, Yunnan

Through nearly seven months of investigation and research, detailed information and data on vegetation resources, land resources and other ecological resources in the Taojia small river basin were obtained, and the data were analyzed and processed. The results show that due to the destruction of forest vegetation, the steep slope reclamation and water channel leakage in the Taojia small river basin, well fields and forest land at multiple sites in the basin have been buried by mud and rock, and abundant forest vegetation distributed in the middle and upper reaches has reduced to the situation of a forest coverage rate of only 15.5%. As a result, a vicious circle of "ecological destruction, soil erosion, farmland reduction, poverty, steep slope cultivation, ecological destruction" has been formed. Based on the analysis of the basic ecological background of the basin, six ecological restoration proposals such as planting soil and water conservation forests and fruit trees and blockading protection were proposed, in order to provide support for restoring the ecological environment of the basin and achieving sustainable development of the ecological environment within the basin.

Application of ecological footprint in ecological industrial systems:a study case of maize-MSG production systems

To improve the comparability of the research results of ecological industry, the ecological footprint is appliedto analyze the resource utilization and environmental pollution in various subsystems, taking maize-MSG as a case.Results show that the production process from maize to MSG is a extended process of ecological footprint, and that theecological footprint of the maize production is the biggest; the extension of ecological footprint is followed by the increaseof footprint profit, which means that the extension of production chain is an important method to improve the resourcesprofit; the systems have a big proportion of the indirect energy ecological footprint; the air and water pollution in MSGsubsystem is the most serious. At last, it can be identified that ecological footprint is a good method to measure resourceutilization and environmental pollution in various subsystems of an integrated ecological industry.

National Ecological Deficit Accounting of China with Detailed Ecological Footprint

Ecological footprint is a new method to assess sustainable development quantitatively. It translates production into biologically productive areas offering material flows to measure the utilized degree of nature by humankind. At present, China runs ecological deficits because footprints required for consumption are larger than available ones. In the paper, the ecological footprint model is applied to calculate the deficits by resource, environment and import-export accounting. It is clear that the deficits have caused enormous pressure to resource and environment, which would become bigger with more factors of resource and environment being accounted. In the primary production and energy trade, import footprint turned from deficit to surplus after 1996, which benefited the conservation of national resource. But compared with the huge depletion caused by resource and environment, they had small effects on deficits.

Issues,Progress,and Recommendations in the Construction of Ecological Barrier on the Mongolian Plateau from the Perspective of Big Data

The Mongolian Plateau(MP),situated in the transitional zone between the Siberian taiga and the arid grasslands of Central Asia,plays a significant role as an Ecological Barrier(EB)with crucial implications for ecological and resource security in Northeast Asia.EB is a vast concept and a complex issue related to many aspects such as water,land,air,vegetation,animals,and people,et al.It is very difficult to understand the whole of EB without a comprehensive perspective,that traditional diverse studies cannot cover.Big data and artificial intelligence(AI)have enabled a shift in the research paradigm.Faced with these requirements,this study identified issues in the construction of EB on MP from a big data perspective.This includes the issues,progress,and future recommendations for EB construction-related studies using big data and AI.Current issues cover the status of theoretical studies,technical bottlenecks,and insufficient synergistic analyses related to EB construction.Research progress introduces advances in scientific research driven by big data in three key areas of MP:natural resources,the ecological environment,and sustainable development.For the future development of EB construction on MP,it is recommended to utilize big data and intelligent computing technologies,integrate extensive regional data resources,develop precise algorithms and automated tools,and construct a big data collaborative innovation platform.This study aims to call for more attention to big data and AI applications in EB studies,thereby supporting the achievement of sustainable development goals in the MP and enhancing the research paradigm transforming in the fields of resources and the environment.

Application of deep learning in ecological resource research:Theories, methods, and challenges

Ecological resources are an important material foundation for the survival,development,and self-realization of human beings.In-depth and comprehensive research and understanding of ecological resources are beneficial for the sustainable development of human society.Advances in observation technology have improved the ability to acquire long-term,cross-scale,massive,heterogeneous,and multi-source data.Ecological resource research is entering a new era driven by big data.Traditional statistical learning and machine learning algorithms have problems with saturation in dealing with big data.Deep learning is a method for automatically extracting complex high-dimensional nonlinear features,which is increasingly used for scientific and industrial data processing because of its ability to avoid saturation with big data.To promote the application of deep learning in the field of ecological resource research,here,we first introduce the relationship between deep learning theory and research on ecological resources,common tools,and datasets.Second,applications of deep learning in classification and recognition,detection and localization,semantic segmentation,instance segmentation,and graph neural network in typical spatial discrete data are presented through three cases:species classification,crop breeding,and vegetation mapping.Finally,challenges and opportunities for the application of deep learning in ecological resource research in the era of big data are summarized by considering the characteristics of ecological resource data and the development status of deep learning.It is anticipated that the cooperation and training of cross-disciplinary talents may promote the standardization and sharing of ecological resource data,improve the universality and interpretability of algorithms,and enrich applications with the development of hardware.

The Current Status, Problems and Prospects of Researches on the Carrying Capacities of Ecological Environment in China

Determining the carrying capacity of ecological resources is the key to finding contradictions between human activities and the environment,as well as the links between economic growth,environmental protection and social development.In recent years,the carrying capacity of the ecological environment has been extensively studied at home and abroad.Through extensive literature research and analysis,this paper discusses the current status and main problems of recent research on the carrying capacity of the ecological environment in China.For example,two of the main problems are that:1)the concepts and connotations are not clear enough,and 2)the research content is not systematic enough.This is followed by a summary of the evaluation index system and main calculation methods.Finally,according to the research status and development trends at home and abroad,the possible direction for the development of this research field in the future is proposed.