NDLI: Quantitative method for identifying networks of minimum priority sites for protection of rare and endangered plant species in Guangdong, China

Content Provider	Springer Nature Link
Author	Wang, Benyang Luo, Fuhe Zhen, Xuening Yu, Shixiao
Copyright Year	2008
Abstract	The approaches to enlarge the protected areas are deeply embedded in the conservation planning. In practice, however, even in some sites of top conservation priority, there exist problems of inefficient conservation for lack of funding, to say nothing of assisting all species under threat from the viewpoint of conservationists. Identifying priority sites for conservation and establishing networks of minimum priority sites (NOMPS) are helpful for promoting the transition from number and size oriented, to quality and effectiveness oriented practices of biological conservation, and for realizing the target of biodiversity conservation with the most benefits for the least costs. Based on heuristic algorithm and integer linear programming (ILP), we propose a refined method of heuristic integer linear programming (HILP) for quantitative identification of the NOMPS to protect rare and endangered plant species (REPS) in Guangdong Province, China. The results indicate that there are 19 priority sites which are essential for protecting all of the 107 REPS distributed in 83 sites in Guangdong. These should be the paramount targets of financing and management. Compared with the ILP, which uses minimum number of sites as the only constraint, HILP takes into consideration of the effect of species richness, and is thus more suitable for conservation practices though with a little more number of priority sites selected. It is suggested that ILP and HILP are both effective quantitative methods for identifying NOMPS and can yield important information for decision making, especially when economic factors are constraints for biological conservation.
Starting Page	117
Ending Page	123
Page Count	7
File Format	PDF
ISSN	16733509
Journal	Frontiers in Biology
Volume Number	4
Issue Number	1
e-ISSN	16733622
Language	English
Publisher	SP Higher Education Press
Publisher Date	2008-08-27
Publisher Institution	Chinese Universities
Publisher Place	Heidelberg
Access Restriction	Subscribed
Subject Keyword	biodiversity biological conservation nature reserve optimization priority sites Life Sciences
Content Type	Text
Resource Type	Article
Subject	Ecology Genetics Ecology, Evolution, Behavior and Systematics Biotechnology

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