Theory, method and key issues in systematic conservation planning

Lu, 张路 Zhang; Zhiyun, 欧阳志云 Ouyang; Weihua, 徐卫华 Xu

doi:10.5846/stxb201304220768

Cited by 8 publications

(7 citation statements)

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“…The Marxan model is a commonly utilized open source decision support system that is grounded in the conservation field and operates on the principles of the integer linear model. The purpose of the Marxan initiative is to establish interconnected systems of protected areas that effectively address various ecological, social, and economic considerations [43]. The planning process involves a total of 100 operations, with a boundary length correction value of 0.01.…”

Section: Scenario Settings and Spatial Optimization Algorithmsmentioning

confidence: 99%

Spatial Optimization Based on the Trade-Off between Ecosystem Conservation and Opportunity Cost of Tarim National Park in Xinjiang, China

Zhang,

Zhang

2024

Land

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National parks (NPs) are the flagship protected areas in China’s conservation network and play a key role in the ecological protection of core objects and important natural landscapes. However, the shortage of spatial optimization methods based on quantitative indicators has limited the spatially explicit identification of national parks. Therefore, in this study, we selected the main area of the Tarim River (MTR) in Xinjiang as an example to optimize the spatial boundary of a national park. We constructed an evaluation system based on representativeness, ecological importance, and the foundation of the existing protected area. Subsequently, we comprehensively employed a species distribution model to simulate the habitat of the primary conservation targets. Additionally, we spatially optimized the region using an integer linear model, considering multiple scenarios. The results of this study show that fewer than 30% of the existing protected areas in the MTR protect conservation objects. Using different protection objects and quantitative goals, the spatial optimization results for the eight protection scenarios show that the most effective national park establishment scenario covers a total area of 15,009.3 km2, which is 8157.5 km2 more than the protected area already in place and would include the Tarim Populus National Nature Reserve and Luntai Tarim Populus Forest Park. The opportunity cost to be paid for protection according to this boundary is approximately USD 115.14 million. The protection ratios of each protection object for the expanded park are more than 50%, which is 27.7% higher than the protection effect produced by the existing protected area, so we recommend that Tarim National Park be set up on the basis of this boundary.

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Section: Scenario Settings and Spatial Optimization Algorithmsmentioning

confidence: 99%

Spatial Optimization Based on the Trade-Off between Ecosystem Conservation and Opportunity Cost of Tarim National Park in Xinjiang, China

Zhang,

Zhang

2024

Land

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“…Thus, though there might be some uncertainties and limitations, our reserve network planning provides a reference for future development of fish reserves in MLYRB. Currently, regional conservation planning using SCP approaches is just unfolding in China (Zhang et al, 2015). Since the series of methods applied in our study (described below) are feasible and practical under the conditions in China, they could provide valuable references in future studies of reserve network planning in China.…”

Section: A Feasible Management Frameworkmentioning

confidence: 99%

Reserve network planning for fishes in the middle and lower Yangtze River basin by systematic conservation approaches

Huang

Fan

Chen

2016

Sci. China Life Sci.

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Although China has established more than 600 wetland nature reserves, conservation gaps still exist for many species, especially for freshwater fishes. Underlying this problem is the fact that top-level planning is missing in the construction of nature reserves. To promote the development of nature reserves for fishes, this study took the middle and lower reaches of the Yangtze River basin (MLYRB) as an example to carry out top-level reserve network planning for fishes using approaches of systematic conservation planning. Typical fish species living in freshwater habitats were defined and considered in the planning. Based on sample data collected from large quantities of literatures, continuous distribution patterns of 142 fishes were obtained with species distribution modeling and subsequent processing, and the distributions of another eleven species were artificially designated. With the distribution pattern of species, Marxan was used to carry out conservation planning. To obtain ideal solutions with representativeness, persistence, and efficiency, parameters were set with careful consideration regarding existing wetland reserves, human disturbances, hydrological connectivity, and representation targets of species. Marxan produced the selection frequency of planning units (PUs) and a best solution. Selection frequency indicates the relative protection importance of a PU. The best solution is a representative of ideal fish reserve networks. Both of the PUs with high selection frequency and those in the best solution have low proportions included in existing wetland nature reserves, suggesting that there are significant conservation gaps for fish species in MLYRB. The best solution could serve as a reference for establishing a fish reserve network in the MLYRB. There is great flexibility for replacing selected PUs in the solution, and such flexibility facilitates the implementation of the solution in reality in case of unexpected obstacles. Further, we suggested adopting a freshwater management framework in the implementation of such solution.middle and lower Yangtze River basin, fish conservation, systematic conservation planning, reserve network, Marxan Citation:Huang, X., Li, F., and Chen, J. (2016). Reserve network planning for fishes in the middle and lower Yangtze River basin by systematic conservation approaches. Sci China Life Sci 59, 312 -324,

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“…Systematic conservation planning (SCP) is a commonly used method for identifying conservation priority areas ( Margules and Pressey, 2007 ) by considering the size, connectivity, length of boundaries, and social and economic costs of establishing protected areas while achieving conservation of species and minimizing conservation costs ( Zhang et al., 2015 ). With the development of research, there is more and more software for systematic conservation planning, such as Marxan, C-Plan, and Zonation ( Bárbara et al., 2018 ; De Alban et al., 2021 ), and they are usually combined with a geographic approach to the protection of biological diversity to assess the protection gap of the priority areas of the species in the existing nature reserves, which provides important information for the construction of nature reserves and has been widely applied at global scales ( Rodrigues et al., 2004a ; Chi et al., 2017 ).…”

Section: Introductionmentioning

confidence: 99%

Prediction of potential suitable habitats in the 21st century and GAP analysis of priority conservation areas of Chionanthus retusus based on the MaxEnt and Marxan models

Wang,

Wu,

Zhao

et al. 2024

Front. Plant Sci.

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Chionanthus retusus (C. retusus) has a high economic and medicinal value, but in recent years it has been included in the list of China's major protected plants and China's Red List of Biodiversity due to the serious destruction of its wild germplasm resources. Based on 131 sample points of C. retusus, this study simulated potential habitats and spatial changes of C. retusus in the 21st century using the Maxent model combined with the geographic information system ArcGIS, predicted prioritized protected areas by the Marxan model, and assessed current conservation status through GAP analysis. The results showed that (1) when the regularization multiplier was 1.5 and the feature combinations were linear, quadratic, and fragmented, the area under the curve of the subjects in the training and test sets were both above 0.9, the true skill statistic value was 0.80, and the maximum Kappa value was 0.62, meaning that the model had high accuracy; (2) Temperature seasonality, annual precipitation, min temperature for coldest month, and precipitation of wettest month had relatively strong influences on species' ranges. (3) The moderately and optimally suitable habitats of C. retusus were primly located in the areas of southwestern Shanxi, central Hebei, western Henan, Shandong, Shaanxi, Anhui and Hubei; (4) Under different future climate scenarios, the area of each class of suitable habitat will increase for varied amounts compared to the current period, with a general trend of expansion to the south; (5) The C. retusus priority protected areas were mainly located in most of Shandong, southern Liaoning, southwestern Shanxi, western Henan, and central Hebei, and its conservation vacancy area was relatively large compared to its protected area. These results will provide scientific strategies for implementing long-term conservation of C. retusus in China and similar regions under warming conditions in the 21st century.

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Theory, method and key issues in systematic conservation planning

Cited by 8 publications

References 0 publications

Spatial Optimization Based on the Trade-Off between Ecosystem Conservation and Opportunity Cost of Tarim National Park in Xinjiang, China

Spatial Optimization Based on the Trade-Off between Ecosystem Conservation and Opportunity Cost of Tarim National Park in Xinjiang, China

Reserve network planning for fishes in the middle and lower Yangtze River basin by systematic conservation approaches

Prediction of potential suitable habitats in the 21st century and GAP analysis of priority conservation areas of Chionanthus retusus based on the MaxEnt and Marxan models

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