多样性丧失 meaning in Chinese
diversity loss
Examples
- The increasing pace of diversity loss thus imperils the " ecosystems services " that many human populations depend on for survival , the study says
研究表明,生物多样性丧失的步骤的持续加快危及许多人类赖以生存的生态系统 - A major cause of loss of natural habitats and biodiversity worldwide , it can lead to soil erosion , flooding downstream , and increasing drought in neighboring areas
是自然栖息环境流失和生物多样性丧失的主要原因，它能够导致土壤流失，洪水泛滥以及周边地区的干旱。 - Responsibility ? how do our actions change our environment ? how do we minimize the detrimental effects of our actions ? overfishing , habitat destruction , loss of biodiversity , climate change
责任感? ?我们的行为会怎样改变环境？怎样才能将我们对环境的破坏降至最低？过度捕捞，生境破坏，生物多样性丧失，气候变化。 - The disaster of drought and waterlog is severely and frequently , the water and soil loss and rock desertification is increasing , the subsidence is happened at some ground , the bio - diversity decrease , the vegetation and soil evolve conversely , the productivity declines , the people lives in difficulty , and the most phenomenon and types of ecological problem are concentrated in karst area . to strengthen studies on karst ecological characteristics and degradation types can provide gist for ecological rehabilitation and reconstruction in karst area , but also can provide means for reference for other ecology area
严重而频繁旱涝灾害、水土流失、石漠化现象加剧、地面塌陷、生物多样性丧失、植被与土壤出现逆向演替、生产力水平降低、人居生活困难等，集中了全球生态问题的主要表现和主要类型；因此，加强对岩溶区生态特征和退化类型的研究，不但能为岩溶区生态的恢复和重建提供依据，也为其它生态区的研究提供方法借鉴。 - Particle filter algorithm is main content of this paper , which can be implemented by a bayesian recursion process though a monte carlo simulation method . through analysis of the basic theoretic for particle filter algorithm and study on remaining problems of the algorithm , we discuss approximate optimal importance density function particle filter and evolutive particle filter , analyze the advantage and disadvantage of the above two filters , and eventually propose a particle filter algorithm based on new sample method . the simulation result shows that the new particle filter algorithm can solve non - gaussian maneuver targeting tracking problem primely
本文通过对粒子滤波算法基本理论的分析和对该算法存在的问题的研究,详细阐述了(近似)最优重要性密度函数粒子滤波算法和进化粒子滤波算法,分析了上述两种滤波方法的优缺点,并于最后通过对粒子滤波算法所存在的粒子数匮乏和粒子多样性丧失问题的分析以及鉴于减少运算量和满足实时性的考虑,提出了一种基于新的采样方法的粒子滤波算法,并应用到弹道导弹目标跟踪。