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黄河三角洲自然保护区土地利用格局空间优化模拟
引用本文:龚溪,曹铭昌,王东升,乐志芳,孙孝平,徐海根.黄河三角洲自然保护区土地利用格局空间优化模拟[J].农业工程学报,2017,33(Z1):355-361.
作者姓名:龚溪  曹铭昌  王东升  乐志芳  孙孝平  徐海根
作者单位:1. 环境保护部南京环境科学研究所,南京 210042;南京信息工程大学地理与遥感学院,南京 210044;2. 环境保护部南京环境科学研究所,南京,210042;3. 江苏科技大学计算机科学与工程学院,镇江 212001;北京工业大学WIC研究院,北京 100022;4. 南京林业大学南方现代林业协同创新中心,南京,210037
基金项目:国家自然科学基金(41101424;31461143033)
摘    要:空间优化模型能够实现多管理目标下的土地利用格局空间优化,为管理者制定保护政策提供参考。该文以黄河三角洲自然保护区为研究区域,基于保护区的多目标管理需求,设计了3种用于协调丹顶鹤生境保护和社区可持续发展的情景模式,并采用土地利用空间优化(land use pattern optimization,LUPO)模型,模拟实现了不同情景模式下的保护区土地利用格局空间优化配置。模拟结果表明:情景A通过将光滩和芦苇滩等转为丹顶鹤喜好的翅碱蓬滩涂和柽柳-翅碱蓬滩涂,实现使丹顶鹤适宜生境面积增加30%的生态效益目标,但年经济收益增幅仅为11%;情景B通过将农田、芦苇滩和光滩等转为年经济效益更高的虾池,使区域年经济效益增长54%,但丹顶鹤适宜生境面积变化较小,生境更为破碎化;情景C通过将光滩等转为翅碱蓬滩涂,将农田等转为虾池,分别使丹顶鹤适宜生境面积增加24%和区域年经济效益增长41.3%,是一种双赢方案。研究结果表明,该模型可用于保护区土地利用格局空间优化,协调物种保护和经济发展之间的平衡关系,但需对模型结构和参数进一步优化设计。

关 键 词:土地利用  生态  模型  LUPO  空间布局优化  黄河三角洲保护区
收稿时间:2016/8/30 0:00:00
修稿时间:2016/12/5 0:00:00

Spatial optimization simulation of land use pattern in Yellow River Delta Nature Reserve
Gong Xi,Cao Mingchang,Wang Dongsheng,Le Zhifang,Sun Xiaoping and Xu Haigen.Spatial optimization simulation of land use pattern in Yellow River Delta Nature Reserve[J].Transactions of the Chinese Society of Agricultural Engineering,2017,33(Z1):355-361.
Authors:Gong Xi  Cao Mingchang  Wang Dongsheng  Le Zhifang  Sun Xiaoping and Xu Haigen
Institution:1. Nanjing Institute of Environmental Sciences, Ministry of Environmental Protection, Nanjing 210042, China; 2. School of Geography and Remote Sensing, Nanjing University of Information Science and Technology, Nanjing 210044, China;,1. Nanjing Institute of Environmental Sciences, Ministry of Environmental Protection, Nanjing 210042, China;,3. School of Computer Science and Engineering, Jiangsu University of Science and Technology, Zhenjiang 212001, China; 4. International WIC Institute, Beijing University of Technology, Beijing 100022, China;,1. Nanjing Institute of Environmental Sciences, Ministry of Environmental Protection, Nanjing 210042, China;,5. Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China; and 1. Nanjing Institute of Environmental Sciences, Ministry of Environmental Protection, Nanjing 210042, China;
Abstract:Abstract: The Yellow River Delta Nature Reserve (YRDNR) is a national nature reserve designed to protect the newly built wetland ecosystem and the rare and endangered birds. It is one of the fastest growing coastal wetland ecosystems around the world and an important site for red-crowned cranes during migration and wintering periods. It is an urgent task to effectively manage and control resource utilization activities and protect the wetland habitat of red-crowned cranes in the YRDNR. Spatial optimization model can be applied to a variety of spatial planning problems to identify trade-offs between conflicting objectives and solve the optimum allocation problem (such as allocation of reserve sites or management actions). In this paper, we firstly had a secondary development with C++ language to construct a land use pattern spatial optimization model based on LUPO (land use pattern optimization) model developed by Annelie Holzkamper et al. The LUPO model can be applied to identify trade-offs between habitat conservation of red-crowned cranes and sustainable development of community economy in the nature reserve, and to optimize allocation of land use in YRDNR. Secondly, we designed 3 target-driven scenarios according to management requirement in YRDNR to balance ecological protection and economic development. Finally, we simulated the spatial optimization of land use pattern in YNRDR under the 3 scenarios by integrating the scenarios into the LUPO model. The results showed as follows: 1) Under Scenario A, it obviously achieved the ecological conservation target with a 30% increase of suitable habitat area of red-crowned crane by converting the areas of reed ponds and mudflats to seepweed tidal flats and Chinese tamarisk-seepweed tidal flats, which are the birds preferred habitats. However, the regional economic benefit had a small increase of only 11%; 2) Under Scenario B, it achieved 54% regional economic growth by converting the area of farmlands, reed ponds and mudflats to shrimp ponds, which owned a highly economic value. In the meanwhile, the habitat area change of red-crowned crane was not obvious, and became more fragmented in Scenario B; 3) Under Scenario C, it achieved the target of 24% suitable habitat area expansion of red-crowned crane along with 41.3% regional economic growth. It may mainly respectively result from significant expansion of seepweed tidal flats and shrimp ponds converted from mudflats and farmlands. In conclusion, it is more reasonable and practical under Scenario C than Scenarios A and B in YNRDR due to the fact the trade-off between wetland habitat conservation and sustainable development is comprehensively considered. We consider that our LUPO model can offer a good technique support for habitat protection of red-crowned crane and wetland landscape management in YRDNR. However, we also recommend a further secondary development of LUPO model to improve the accuracy, feasibility and operability of the model in the future.
Keywords:land use  ecology  models  LUPO  spatial optimization  Yellow River Delta Nature Reserve
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