Effects of global change on bird and beetle populations in boreal forest landscape: An assemblage dissimilarity analysis

Bouderbala, Ilhem; Labadie, Guillemette; Béland, Jean-Michel; Boulanger, Yan; Hébert, Christian; Desrosiers, Patrick; Allard, Antoine; Fortin, Daniel

doi:10.1111/ddi.13697

Cited by 4 publications

(2 citation statements)

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“…The cumulative effect of habitat change, occurring through anthropogenic disturbances, with the influence of climate and meteorological conditions, impacts heavily ecosystem functioning (Boulanger et al, 2017; Micheletti et al, 2021). Indeed, the coupled effect of climate change and land use leads to biodiversity alternation mainly caused by species turnover (Pachauri et al, 2014; Cadieux et al, 2020; Bouderbala et al, 2023a). These changes in biodiversity could also exert pressure on agroecosystems and result in a loss of ecosystem services (Kelly and Goulden, 2008; Hillebrand et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

“…The significance of monitoring biodiversity and the development of reconstruction tools has become increasingly crucial (Azeria et al, 2009; Dommain et al, 2020). Monitoring biodiversity allows us to understand the causes and current state of biodiversity loss to identify the main drivers of biodiversity decline or increase (Bouderbala et al, 2023a), such as habitat destruction, pollution, climate change, and invasive species. Moreover, monitoring biodiversity helps plan mitigation strategies and implement effective conservation actions (Stralberg et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

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A network-based methodology to reconstruct biodiversity based on interactions with indicator species

Bouderbala,

Fortin,

Tremblay

et al. 2023

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With the ongoing decline in biodiversity, there is a need for efficient field monitoring techniques. Indicator species (IS) emerged as a promising tool to monitor diversity because their presence indicates a maximum number of conditionally co-occurring species. Accordingly, there is empirical evidence that few IS could predict local richness. However, species richness is often insufficient to characterize biodiversity. We aim to assess the effectiveness of IS for biodiversity reconstruction based on their co-occurrence with other species. We develop probabilistic models that use IS to predict the occurrence probability of co-occurring species. We predict the occurrence of species based on (1) their conditional occurrence probability with IS and (2) the occurrence probability of IS. We test the approach with field observations of birds in the Côte-Nord region of Québec. First, we identify climate networks (based on temperature and precipitation) over which bird associations remain relatively stable to identify the most locally relevant IS. We use four network-based methods to select the IS according to betweenness, betweenness-closeness centralities, and positive and negative co-occurrences. From co-occurrence networks, we conclude that the latitudinal climate gradient impacts the nature of both biotic interactions and IS composition. Indeed, the proportion of negative links, which reflect competition and avoidance liaisons, was about 25.2% in the southern network, whereas it was 13.2% in the northern network. Moreover, almost a complete turnover in the composition of the IS was observed between the northern and southern networks, with only two common IS among 17. Regarding the effectiveness in the reconstruction of assemblages occurrence, we observed a strong negative correlation (r ≤ −0.75) between the percentage of sites occupied and the dissimilarity between the original and the estimated occurrences for a given species. More precisely, species must be present in more than 25% and 33% of northern and southern sites to recover well from its co-occurrence with IS. Depending on climate clusters, our approach enables us to recover the occurrence up to 100% and 70% of species present in more than 20% of sites of northern and southern groups, respectively. However, the accuracy decreases to 9% and 12% of northern and southern groups, respectively, when we include less-present species. The higher success at the north sites reflects the lower species richness observed at higher latitudes. In conclusion, our method demonstrates that it is possible to predict local species assemblages based on the occurrence and absence of IS. Nevertheless, the relatively low success of less present species illustrates the need for further theoretical development to reconstruct biodiversity, mainly to recover the occurrence of rare species.

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