Characteristics,Current Status and Strategy on Exploitation of Agricultural Natural Resources in China

This paper formulated the present characteristics, current status and the problems of agricultural natural China. Measures of preservation and strategy about exploitation of agricultural natural resources were put forward, provide a scientific basis for the government to make policies .

THE GRASSLAND RESOURCES OF CHINA AND ITS MANAGEMENT STRATEGY

The total area of grassland in the world is about 50 million km^2, accounting for 33.5% of the total land area (Lieth, 1975). The permanent grassland used by mankind is 33.04 million km^2, accounting for 25.3% of the total land area (FAO,1990). Grassland can provide feed for herbivore and produce high-quality food,clothing,medicines and industrial materials for man.On the other hand,it also plays an important role in the fertility of the soil,the conservation of water, the improvement of the environment and maintaining the ecological balance of the Earth’s surface.

ZTE 's WCDMA Radio Resource Management Strategy

WCDMA Radio Resource Management (RRM) controls the allocation and usage of all radio resources. The purpose of RRM is to have optimal coverage and capacity while ensuring the QoS. RRM directly affects the system performance. As the soul of system control, it includes power control, handoff control, load control, admission control, code allocation, etc. This paper introduces the RRM strategy of ZTE's WCDMA equipment.

Traffic resource allocation for complex networks

In this paper, an optimal resource allocation strategy is proposed to enhance traffic dynamics in complex networks. The network resources are the total node packet-delivering capacity and the total link bandwidth. An analytical method is developed to estimate the overall network capacity by using the concept of efficient betweenness （ratio of algorithmic betweenness and local processing capacity）. Three network structures （scale-free, small-world, and random networks） and two typical routing protocols （shortest path protocol and efficient routing protocol） are adopted to demonstrate the performance of the proposed strategy. Our results show that the network capacity is reversely proportional to the average path length for a particular routing protocol and the shortest path protocol can achieve the largest network capacity when the proposed resource allocation strategy is adopted.

A Dynamic Resource Allocation Strategy with Reinforcement Learning for Multimodal Multi-objective Optimization

Many isolation approaches, such as zoning search, have been proposed to preserve the diversity in the decision space of multimodal multi-objective optimization(MMO). However, these approaches allocate the same computing resources for subspaces with different difficulties and evolution states. In order to solve this issue, this paper proposes a dynamic resource allocation strategy(DRAS)with reinforcement learning for multimodal multi-objective optimization problems(MMOPs). In DRAS, relative contribution and improvement are utilized to define the aptitude of subspaces, which can capture the potentials of subspaces accurately. Moreover, the reinforcement learning method is used to dynamically allocate computing resources for each subspace. In addition, the proposed DRAS is applied to zoning searches. Experimental results demonstrate that DRAS can effectively assist zoning search in finding more and better distributed equivalent Pareto optimal solutions in the decision space.

Tree allometry responses to competition and complementarity in mixed-species plantations of Betula alnoides

Tree allometry plays a crucial role in tree survival,stability,and timber quantity and quality of mixed-species plantations.However,the responses of tree allometry to resource utilisation within the framework of interspecific competition and complementarity remain poorly understood.Taking into consideration strong-and weakspace competition(SC and WC),as well as N_(2)-fixing and non-N_(2)-fixing tree species(FN and nFN),a mixedspecies planting trial was conducted for Betula alnoides,a pioneer tree species,which was separately mixed with Acacia melanoxylon(SC+FN),Erythrophleum fordii(WC+FN),Eucalyptus cloeziana(SC+nFN)and Pinus kesiya var.langbianensis(WC+nFN)in southern China.Six years after planting,tree growth,total nitrogen(N)and carbon(C)contents,and the natural abundances of^(15)N and^(13)C in the leaves were measured for each species,and the mycorrhizal colonisation rates of B.alnoides were investigated under each treatment.Allometric variations and their relationships with space competition and nutrient-related factors were analyzed.The results showed a consistent effect of space competition on the height-diameter relationship of B.alnoides in mixtures with FN or nFN.The tree height growth of B.alnoides was significantly promoted under high space competition,and growth in diameter at breast height(DBH),tree height and crown size were all expedited in mixtures with FN.The symbiotic relationship between ectomycorrhizal fungi and B.alnoides was significantly influenced by both space competition and N_(2) fixation by the accompanying tree species,whereas such significant effects were absent for arbuscular mycorrhizal fungi.Furthermore,high space competition significantly decreased the water use efficiency(WUE)of B.alnoides,and its N use efficiency(NUE)was much lower in the FN mixtures.Structural equation modeling further demonstrated that the stem allometry of B.alnoides was affected by its NUE and WUE via changes in its height growth,and crown allometry was influenced by the mycorrhizal symbiotic relationship.Our findings provide new insights into the mechanisms driving tree allometric responses to above-and belowground resource competition and complementarity in mixed-species plantations,which are instructive for the establishment of mixed-species plantations.

Introducing a multi-criteria indicator to better evaluate impacts of rare earth materials production and consumption in life cycle assessment

Life cycle assessment （LCA） is based on the basic principles of sustainable development. LCA method demonstrated its efficiency in providing a systematic environmental assessment approach of a product or a process. The effectiveness and efficiency of these methods lies in the fact that they take into account all life cycle stages of a product, from the extraction of raw materials to end of life treatment （recycling, ...） through an assessment covering different impact categories such as climate change, human health, ecosystems and resources. Existing LCA indicators reflect different issues surrounding resource depletion, creating inconsistency and moreover confusion among LCA practitioners. The evaluation of different life cycle impacts assessment （LCIA） methods done by EC JRC showed that available models did not address the same parameters： short- vs long-term, stock vs backup technology, etc. It also showed that if the correlation between the methods was sufficient for some resources, others such as rare earth elements showed a high level of inconsistency between methods. It was therefore necessary to develop a relevant indicator and harmonized assessment of impacts on resources in LCA. Furthermore, a resource strategy indicator based on the three pillars of sustainable development （eco- nomic, environmental and social） would better address wider challenges and making it a more powerful decision making tool. This study aimed to introduce an indicator for evaluating the strategy implications of metal resources for products and to compare different ways of production resulting from extraction of raw materials or recycling, with a special focus on rare earth materials. The indicator would assess the impacts based on a reserve-resource vision [BGS NERC] and the evolution over time and founded over three pa- rameters： technical feasibility, economic viability and political stability （including social and environmental aspects） in representing countries.

Contrasting responses of legume versus non-legume shrubs to soil water and nutrient shortages in the Mu Us Sandland

Legumes and non-legumes usually differ in using soil water and nutrients.Both water and nutrients are scarce in the semi-arid Mu Us Sandland where legume and/or non-legume shrubs coexist/dominate.Here,we addressed the responses of legume versus nonlegume shrubs to different soil water and nutrient conditions.Methods We conducted an experiment in which a legume(Hedysarum laeve)and a non-legume(Artemisia ordosica)were used,both of which are dominant species in the Mu Us Sandland.Seedlings of these two species were subjected to three water levels(45.0,67.5 and 90.0 ml every 3 days)and three nutrient treatments(0,0.1%and 0.2%nutrient solution every week)during the experiment.Important Findings Interactions between water and nutrients on total biomass,root weight ratio and rain use efficiency(RUE)were detected in A.ordosica but not in H.laeve,suggesting that water effects on A.ordosica but not on H.laeve are dependent on soil nutrients.Nutrient addition alleviated drought stress and increased RUE in A.ordosica.The interspecific differences in response to soil water and nutrients may be linked to the ability of plants to fix nitrogen.In addition,under lowsoil water or nutrient conditions,H.laeve produced more biomass than A.ordosica,and the opposite was the case under high-soil resources.The relationship between relative growth rate(RGR)and RUE[or nutrient use efficiency(NUE)]varied with two species.RGR of A.ordosica was positively correlated with both RUE and NUE while RGR of H.laeve was negatively correlated with NUE.The different responses may be linked to the trade-off between high-growth rate and low-resource use efficiency.