Pistes méthodologiques pour prendre en compte la pollution lumineuse dans les réseaux écologiques
In response to habitat fragmentation, scientific literature recommends ecological networks, which are natural areas interconnected structurally and functionally. Recently, artificial light at night (ALAN) is recognized as a new cause of habitat fragmentation. Indeed, light pollution modifies animal...
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| Format: | Article |
| Language: | fra |
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Éditions en environnement VertigO
2017-12-01
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| Series: | VertigO |
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| Online Access: | https://journals.openedition.org/vertigo/18730 |
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| Summary: | In response to habitat fragmentation, scientific literature recommends ecological networks, which are natural areas interconnected structurally and functionally. Recently, artificial light at night (ALAN) is recognized as a new cause of habitat fragmentation. Indeed, light pollution modifies animal mobility and degrades quality of habitats used by biodiversity at night. It can be also a real barrier for some species that are not able to cross lighting areas. All those impacts imply that light pollution be integrated into ecological networks but this need raises new questions for practitioners. This article proposes some solutions to planify ecological networks integrating light pollution, from their building to their implementation. ALAN can be covered at different steps of the process : 1) to design a dark ecological network (cores and corridors), 2) to locate conflictual zones between green infrastructure and lightings or even 3) to plan actions to reduce light pollution in the ecological network. This article proposes also first indications about lighting parameters that have to be considered in an ecological network for biodiversity. Indeed, light pollution causes several kinds of problems to biodiversity that have to be translated into quantitative and qualitative variables - and next into maps - for ecological networks. Furthermore, a list of species that are particularly sensitive to ALAN should be provided to determine switching thresholds for ecological networks. |
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| ISSN: | 1492-8442 |