2021
DOI: 10.1016/j.biocon.2020.108892
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Increasing protected area coverage mitigates climate-driven community changes

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Cited by 19 publications
(16 citation statements)
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“…We thus overlaid the most relevant refugia (type 1) with the current network of protected areas (PAs) to assess their adequacy in biodiversity conservation under predicted climatic changes. In the Anthropocene, PAs are going to play a crucial role in preserving biodiversity and in averting climate‐related extinctions (Cumming, 2016; Gray et al, 2016; Lehikoinen et al, 2021; Thomas & Gillingham, 2015). However, their static locations and extents could hamper their potential to adequately preserve many species undergoing dramatic and abrupt distributional changes as a response to rapidly changing climate conditions (Hannah et al, 2007; Regos et al, 2016).…”
Section: Introductionmentioning
confidence: 99%
“…We thus overlaid the most relevant refugia (type 1) with the current network of protected areas (PAs) to assess their adequacy in biodiversity conservation under predicted climatic changes. In the Anthropocene, PAs are going to play a crucial role in preserving biodiversity and in averting climate‐related extinctions (Cumming, 2016; Gray et al, 2016; Lehikoinen et al, 2021; Thomas & Gillingham, 2015). However, their static locations and extents could hamper their potential to adequately preserve many species undergoing dramatic and abrupt distributional changes as a response to rapidly changing climate conditions (Hannah et al, 2007; Regos et al, 2016).…”
Section: Introductionmentioning
confidence: 99%
“…However, if several competing models were ranked within DAIC ≤ 4 of the best ranked model, the most parsimonious model (i.e. the one that included the fewest uninformative parameters) was selected as the best model for inference (Lehikoinen et al 2021). A parameter was considered uninformative if the 85% confidence interval (CI) included zero (Arnold 2010).…”
Section: Discussionmentioning
confidence: 99%
“…the one that included the fewest uninformative parameters) was selected as the best model for inference (Lehikoinen et al . 2021). A parameter was considered uninformative if the 85% confidence interval (CI) included zero (Arnold 2010).…”
Section: Methodsmentioning
confidence: 99%
“…These objectives would be: restoring the necessary habitat, reducing greenhouse gas concentrations and promoting / adapting society to climate change. Given the plight of natural ecosystems and humanity's dependence on them for our survival, there is an urgent need to increase the protection of biodiversity targets and provide sufficient space for nature to thrive on and for the world to adapt quickly [9][10][11][12][13][14][15]. Knowing the background or threshold concentrations of different soil elements is essential in assessing whether or not a concentration is abnormal.…”
Section: Introductionmentioning
confidence: 99%