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231225s2021 xx |||||o 00| ||eng c |
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|a 10.1111/cobi.13681
|2 doi
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|a pubmed24n1558.xml
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|a (DE-627)NLM318712202
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|a (NLM)33305882
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|a DE-627
|b ger
|c DE-627
|e rakwb
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|a eng
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|a Watts, Matthew
|e verfasserin
|4 aut
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|a Software for prioritizing conservation actions based on probabilistic information
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|c 2021
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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| 338 |
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|a ƒa Online-Ressource
|b cr
|2 rdacarrier
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|a Date Completed 21.09.2021
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|a Date Revised 05.10.2024
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a © 2020 Society for Conservation Biology.
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|a Marxan is the most common decision-support tool used to inform the design of protected-area systems. The original version of Marxan does not consider risk and uncertainty associated with threatening processes affecting protected areas, including uncertainty about the location and condition of species' populations and habitats now and in the future. We described and examined the functionality of a modified version of Marxan, Marxan with Probability. This software explicitly considers 4 types of uncertainty: probability that a feature exists in a particular place (estimated based on species distribution models or spatially explicit population models); probability that features in a site will be lost in the future due to a threatening process, such as climate change, natural catastrophes, and uncontrolled human interventions; probability that a feature will exist in the future due to natural successional processes, such as a fire or flood; and probability the feature exists but has been degraded by threatening processes, such as overfishing or pollution, and thus cannot contribute to conservation goals. We summarized the results of 5 studies that illustrate how each type of uncertainty can be used to inform protected area design. If there were uncertainty in species or habitat distribution, users could maximize the chance that these features were represented by including uncertainty using Marxan with Probability. Similarly, if threatening processes were considered, users minimized the chance that species or habitats were lost or degraded by using Marxan with Probability. Marxan with Probability opens up substantial new avenues for systematic conservation planning research and application by agencies
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|a Journal Article
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| 650 |
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|a Research Support, Non-U.S. Gov't
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|a Marxan
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| 650 |
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|a Marxan 软件
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| 650 |
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|a apoyo a decidir
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| 650 |
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|a biodiversidad
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| 650 |
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|a biodiversity
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| 650 |
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|a cambio climático
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| 650 |
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4 |
|a climate change
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| 650 |
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4 |
|a decision support
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| 650 |
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|a modelado de la distribución de especies
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| 650 |
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4 |
|a optimización
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| 650 |
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4 |
|a optimization
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| 650 |
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4 |
|a priorización de la conservación espacial
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| 650 |
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4 |
|a probabilidad
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| 650 |
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|a probability
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| 650 |
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4 |
|a protected areas
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| 650 |
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|a reconocimiento simulado
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| 650 |
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4 |
|a simulated annealing
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| 650 |
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4 |
|a spatial conservation prioritization
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| 650 |
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4 |
|a species distribution modeling
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| 650 |
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|a áreas protegidas
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| 650 |
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|a 优化
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| 650 |
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4 |
|a 保护区
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| 650 |
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4 |
|a 决策支持
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| 650 |
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4 |
|a 概率
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| 650 |
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4 |
|a 模拟退火法
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| 650 |
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|a 气候变化
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| 650 |
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4 |
|a 物种分布建模
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| 650 |
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4 |
|a 生物多样性
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| 650 |
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4 |
|a 空间优先保护
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| 700 |
1 |
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|a Klein, Carissa J
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Tulloch, Vivitskaia J D
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Carvalho, Silvia B
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Possingham, Hugh P
|e verfasserin
|4 aut
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| 773 |
0 |
8 |
|i Enthalten in
|t Conservation biology : the journal of the Society for Conservation Biology
|d 1999
|g 35(2021), 4 vom: 27. Aug., Seite 1299-1308
|w (DE-627)NLM098176803
|x 1523-1739
|7 nnns
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| 773 |
1 |
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|g volume:35
|g year:2021
|g number:4
|g day:27
|g month:08
|g pages:1299-1308
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|u http://dx.doi.org/10.1111/cobi.13681
|3 Volltext
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