[Effect of environmental factors on mineral soil respiration: A review]. / çŽ¯å¢ƒå› å­å¯¹çŸ¿è´¨åœŸå£¤å‘¼å¸å½±å“çš„ç ”ç©¶è¿›å±•.

Mineral soil respiration, a major component of CO2 emissions from soil to atmosphere, plays a critical role in driving terrestrial ecosystem carbon cycling and is highly sensitive to environmental changes, including soil temperature, soil moisture, and substrate availability. The changes of environmental factors can affect mineral soil respiration and its temperature sensitivity thereby alters global carbon balance. We reviewed studies on the effects of environmental factors on mineral soil respiration and its temperature sensitivity. The effect of environmental factors on mineral soil respiration and its temperature sensitivity significantly differed among ecosystems. Environmental factors directly and indirectly affect mineral soil respiration and its temperature sensitivity by altering soil microbial biomass and community structure, extracellular enzyme activity, and soil porosity. Based on the results of this review, we suggested: 1) combining multiple observation techniques and methods to study the effects of environmental factors on mineral soil respiration; 2) exploring the interactive effects of multiple environmental factors on mineral soil respiration; 3) carrying out experiments on mineral soil respiration at different temporal and spatial scales; 4) improving the prediction model of mineral soil respiration and its temperature sensitivity; 5) streng-thening the role of substrate supply of recent photosynthates in the regulation of mineral soil respiration and its temperature sensitivity.

Effects of warming on fine root lifespan of forests: A review.

As an important parameter of forests growth, fine root lifespan plays an important role in plant water and nutrient absorption, and affects underground distribution of photosynthetic products and forest ecosystem carbon cycling. The impact of climate warming on fine root lifespan has become a hot issue under the context of global change. The responses of fine root lifespan to global warming will affect ecosystem carbon balance. We reviewed the research progress of the response characteristics and mechanism of fine root lifespan of trees to warming. Most stu-dies proposed that warming would affect fine root lifespan by changing rhizosphere soil environment, fine root morphology, and tree phenology. However, the growth and death of fine roots were affected by lots of factors, leading to differences in the research results on fine root lifespan due to natural environment of the study area, the way of warming, and the research objects. Therefore, it is of importance to comprehensively analyze the responses of fine root lifespan in forests under the background of climate warming to study the underground ecological process. In the future, the following research should be strengthened: 1) Combining multiple methods to warming underground and aboveground simutaneously, and explore more accurate and effective non-destructive observation methods. 2) Combining multiple observations to study the effects of warming on fine root lifespan. 3) Carrying out research on the effect of warming on fine root lifespan of different tree species, and deeply understand the response mechanism of fine root lifespan of different trees to warming. 4) A comprehensive analysis of the effects of warming on fine root lifespan from various perspectives, and an investigation into the mechanism of the combined effects of various factors on fine root lifespan. 5) The interaction between warming and other environmental factors fine root lifespan. 6) The effect of root architecture on the fine root lifespan after warming. 7) The effects of rhizosphere microorganisms (bacteria and fungi) on fine root lifespan after warming.

An efficient and global interactive optimization methodology for path planning with multiple routing constraints.

Path planning problem is attracting wide attention in autonomous system and process industry system. The existed research mainly focuses on finding the shortest path from the source vertex to the termination vertex under loose constraints of vertex and edge. However, in realistic, the constraints such as specified vertexes, specified paths, forbidden paths and forbidden vertexes have to be considered, which makes the existing algorithms inefficient even infeasible. Aiming at solving the problems of complex path planning with multiple routing constraints, this paper organizes transforms the constraints into appropriate mathematical analytic expressions. Then, in order to overcome the defects of existing coding and optimization algorithms, an adaptive strategy for the vertex priority is proposed in coding, and an efficient and global optimization methodology based on swarm intelligence algorithms is put forward, which can make full use of the high efficiency of the local optimization algorithm and the high search ability of the global optimization algorithm. Moreover, the optimal convergence condition of the methodology is proved theoretically. Finally, two experiments are inducted, and the results demonstrated its efficiency and superiority.