刘昊奇,吕光辉.破碎景观建立保护区面积数量模式界定.生态学报,2018,38(9):3272~3280 
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破碎景观建立保护区面积数量模式界定 
Should several large or many small reserves be built in fragmented landscapes? 
投稿时间：20170412 修订日期：20180104 
DOI：
10.5846/stxb201704120640 
关键词：FLOMS问题 濒危物种保护 生境丧失 个体扩散 
Key Words：FLOMS problem endangered species conservation habitat loss individual diffusion 
基金项目：国家自然科学基金项目（31560131） 

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摘要: 
由于生境丧失日益严重，很难找到一片未被破坏的生境建立自然保护区，因而在设计保护区时，必须处理生境丧失带来的影响。在一个已经遭受过生境丧失的景观上，选取一片正方形的区域，并调整区域的面积以保证其中未被破坏生境的面积为一个固定常数，探讨将未被破坏的生境建设成大量小保护区还是少量大保护区。结果表明：（1）随机的生境丧失下，生境丧失比例越高，少量大保护区模式的优势越明显。（2）即使生境丧失比例恒定，被破坏生境的空间分布形式也有重要影响——被破坏生境的空间聚集程度越高，大量小保护区模式的优势越明显。（3）增加扩散率或降低扩散死亡率可导致从少量大保护区更有利于物种到大量小保护区更有利的转变，且被破坏生境的聚集程度越高，转变的程度越高。以上结论为自然保护区设计提供了理论依据。 
Abstract: 
As habitat loss increases, the survival of certain valuable species, such as the giant panda and the tiger, is becoming increasingly challenged. Nature reserves are attracting increased attention as tools for protecting valuable endangered species. When designing nature reserves, certain important issues, including whether several large or many small reserves are optimalwhich represents the famous few larger or many small debate (FLOMS) must be considered. In a fragmented landscape, we selected a region from the center of the landscape, so that the area of suitable habitats in the region is fixed and constant. As such, the selected region should be larger if the habitat loss is more severe. Subsequently, we explored whether several large or many small reserves should be distributed over these suitable habitats. The results suggest that:(1) for random habitat loss, when the proportion of lost habitats is 0.2, the optimal reserve number is more than 170. As the proportion of lost habitats increases, the optimal reserve number also decreases sharply, and when it reaches 0.9, the optimal reserve number is less than 20. Because the area of every reserve is in inverse proportion to the number of reserves, when random habitat loss occurs, increases in the proportion of lost habitats tend to favor the implementation of several large reserves. (2) If the proportion of lost habitats is fixed and the degree of clustering of lost habitats is low, then the optimal reserve number is small. As the degree of clustering increases, the optimal reserve number will also increase sharply, and when it is high, the optimal reserve number will also be high. As a result, although the proportion of lost habitats is constant, the spatial distribution of lost habitats also greatly affects the FLOMS problem. In addition, increases in the degree of clustering of lost habitats tend to favor the implementation of many small reserves. (3) When the diffusion rate was 0, the optimal reserve number is also low. As the diffusion rate increases, the optimal reserve number also increases. If the degree of clustering of lost habitats is higher, then a greater increase in the optimal reserve number occurs under an increasing rate of diffusion. When the diffusion mortality rate is 0.9, the optimal reserve number is low. As the diffusion mortality rate decreases, the optimal reserve number also increases. If the degree of clustering of lost habitats is higher, then a greater increase in the optimal reserve number will occur with a decreasing diffusion mortality rate. As a result, increases in the diffusion rate or decreases in the diffusion mortality will tend to favor the implementation of many small reserves. When the degree of clustering of lost habitats is higher, a greater increase in the optimal reserve number will occur with increasing or decreasing diffusion rate. These findings can provide a theoretical basis for the FLOMS debate and endangered species conservation, and reinforce the importance of habitat loss, providing insights for natural environmental protection. 
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