A case study of surrogate species in aquatic conservation planning

2004 ◽  
Vol 14 (6) ◽  
pp. 625-633 ◽  
Author(s):  
Nathaniel P. Hitt ◽  
Christopher A. Frissell
2021 ◽  
Vol 7 (2) ◽  
Author(s):  
Banu Kaya özdemirel

Cross taxa congruence was investigated between butterfly taxa and ecological community for fine spatial scale (10 × 10 km² UTM grids) in north-eastern part of Turkey. The study area was evaluated within the scope of systematic conservation planning, and analyses were performed for sets of priority protected areas composed using complementarity-based site selection software Marxan. Cross taxa congruence was subsequently examined both in species richness and ecologic complementarity. Accordingly, it has been observed that the cross-taxon congruence between butterfly taxa and ecological community was relatively better than the results of previous studies. Another remarkable finding is that ecological community was a more robust surrogate than butterfly taxa. Although the results are valuable for conservation studies, they highlight the fact that a simple surrogate-based site selection would be inadequate to represent overall biodiversity.  The weakness of congruence patterns among surrogates would also lead to gaps in biodiversity conservation. These findings therefore draw attention to the necessities of incorporating surrogates of distinct ecology or some other surrogates like environmental parameters into conservation planning. Otherwise, there may be mistakes regarding species representation and the vast majority of species may be misrepresented in protected areas and protected area plans. At this point, it should be emphasized that understating cross taxa congruence and/or relationships is a key component for efficient biodiversity conservation.


Author(s):  
Keith H. Nislow ◽  
Christian O. Marks ◽  
Kimberly A. Lutz

2019 ◽  
Vol 29 (8) ◽  
pp. 1253-1267 ◽  
Author(s):  
Miguel Cañedo‐Argüelles ◽  
Virgilio Hermoso ◽  
Tony Herrera‐Grao ◽  
José Barquín ◽  
Núria Bonada

Oryx ◽  
2006 ◽  
Vol 40 (4) ◽  
pp. 400-410 ◽  
Author(s):  
Robert J. Smith ◽  
Peter S. Goodman ◽  
Wayne S. Matthews

Systematic conservation planning is widely considered the most effective approach for designing protected area and other ecological networks. However, many conservation practitioners still ignore these methods and we suggest that five perceived limitations of this process are affecting its uptake. These perceptions are that (1) systematic conservation planning software is difficult to use, (2) the process requires extensive biodiversity distribution data, (3) setting targets for representing conservation features is not possible, (4) the advantages of systematic conservation planning do not outweigh the costs, and (5) the resulting plans often identify unsuitable areas. Here we review these perceived limitations and argue they are all misplaced, although we recognize difficulties in the target setting process. We then illustrate the value of systematic conservation planning to practitioners using a case study that describes a low-cost exercise from Maputaland, South Africa. This preliminary conservation assessment measured the effectiveness of the existing reserve system and identified a number of candidate areas that could be the focus of community- or privately-run ecotourism or game ranching ventures. Our results also emphasize both the importance of producing planning outputs that are specifically targeted for stakeholders, and the role of systematic conservation planning in providing a framework for integrating different provincial, national and transnational conservation initiatives.


2012 ◽  
Vol 32 (3) ◽  
pp. 715-722
Author(s):  
栾晓峰 LUAN Xiaofeng ◽  
孙工棋 SUN Gongqi ◽  
曲艺 QU Yi ◽  
黄维妮 HUANG Weini ◽  
李迪强 LI Diqiang ◽  
...  

Conservation ◽  
2021 ◽  
Vol 1 (4) ◽  
pp. 342-349
Author(s):  
Daniel P. Faith

The term “biodiversity” generally refers to living variation. Biodiversity has recognized anthropocentric values of insurance and investment. Values of “nature” include those of biodiversity and also many other aspects reflecting the scope of human-nature relationships. Systematic conservation planning methods can integrate this range of local to global values. Early case studies in Australia and Papua New Guinea show the potential for such approaches. Recently, there have been calls for a recasting of the concept of biodiversity to capture plurality of values. However, balance among sometimes conflicting values of nature is best-served by a singular biodiversity concept and definition focused on variety, because this enables effective integration with other values of nature. Attempts at pluralistic recastings of biodiversity in fact may promote neglect of global biodiversity values. Further, an extended analysis of the Papua New Guinea case study shows that it cannot be argued that focusing on localized values of nature for conservation will effectively address regional/global scale conservation needs.


2019 ◽  
Author(s):  
Richard Schuster ◽  
Jeffrey O. Hanson ◽  
Matt Strimas-Mackey ◽  
Joseph R. Bennett

AbstractThe resources available for conserving biodiversity are limited, and so protected areas need to be established in places that will achieve objectives for minimal cost. Two of the main algorithms for solving systematic conservation planning problems are Simulated Annealing (SA) and Integer linear programming (ILP). Using a case study in British Columbia, Canada, we compare the cost-effectiveness and processing times of SA versus ILP using both commercial and open-source algorithms. Plans for expanding protected area systems based on ILP algorithms were 12 to 30% cheaper than plans using SA. The best ILP solver we examined was on average 1071 times faster than the SA algorithm tested. The performance advantages of ILP solvers were also observed when we aimed for spatially compact solutions by including a boundary penalty. One practical advantage of using ILP over SA is that the analysis does not require calibration, saving even more time. Given the performance of ILP solvers, they can be used to generate conservation plans in real-time during stakeholder meetings and can facilitate rapid sensitivity analysis, and contribute to a more transparent, inclusive, and defensible decision-making process.


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