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description Publicationkeyboard_double_arrow_right Article , Preprint , Journal , Other literature type 2018Embargo end date: 01 Jan 2019Publisher:Wiley Funded by:EC | Forests and COEC| Forests and COAuthors:Juri Nascimbene;
Juri Nascimbene
Juri Nascimbene in OpenAIRETobias Kuemmerle;
Tobias Kuemmerle
Tobias Kuemmerle in OpenAIRERafael Barreto de Andrade;
Rafael Barreto de Andrade
Rafael Barreto de Andrade in OpenAIREPéter Ódor;
+10 AuthorsPéter Ódor
Péter Ódor in OpenAIREJuri Nascimbene;
Juri Nascimbene
Juri Nascimbene in OpenAIRETobias Kuemmerle;
Tobias Kuemmerle
Tobias Kuemmerle in OpenAIRERafael Barreto de Andrade;
Rafael Barreto de Andrade
Rafael Barreto de Andrade in OpenAIREPéter Ódor;
Péter Ódor
Péter Ódor in OpenAIREYoan Paillet;
Yoan Paillet
Yoan Paillet in OpenAIREChristophe Bouget;
Christophe Bouget
Christophe Bouget in OpenAIREFrédéric Gosselin;
Frédéric Gosselin
Frédéric Gosselin in OpenAIREPhilippe Janssen;
Philippe Janssen
Philippe Janssen in OpenAIRESabina Burrascano;
Sabina Burrascano
Sabina Burrascano in OpenAIREWalter Mattioli;
Walter Mattioli
Walter Mattioli in OpenAIRETommaso Sitzia;
Tommaso Sitzia
Tommaso Sitzia in OpenAIREFrancesco Maria Sabatini;
Francesco Maria Sabatini;Francesco Maria Sabatini
Francesco Maria Sabatini in OpenAIREThomas Campagnaro;
Thomas Campagnaro
Thomas Campagnaro in OpenAIREAbstractPolicies to mitigate climate change and biodiversity loss often assume that protecting carbon‐rich forests provides co‐benefits in terms of biodiversity, due to the spatial congruence of carbon stocks and biodiversity at biogeographic scales. However, it remains unclear whether this holds at the scales relevant for management, and particularly large knowledge gaps exist for temperate forests and for taxa other than trees. We built a comprehensive dataset of Central European temperate forest structure and multi‐taxonomic diversity (beetles, birds, bryophytes, fungi, lichens, and plants) across 352 plots. We used Boosted Regression Trees (BRTs) to assess the relationship between above‐ground live carbon stocks and (a) taxon‐specific richness, (b) a unified multidiversity index. We used Threshold Indicator Taxa ANalysis to explore individual species’ responses to changing above‐ground carbon stocks and to detect change‐points in species composition along the carbon‐stock gradient. Our results reveal an overall weak and highly variable relationship between richness and carbon stock at the stand scale, both for individual taxonomic groups and for multidiversity. Similarly, the proportion of win‐win and trade‐off species (i.e., species favored or disadvantaged by increasing carbon stock, respectively) varied substantially across taxa. Win‐win species gradually replaced trade‐off species with increasing carbon, without clear thresholds along the above‐ground carbon gradient, suggesting that community‐level surrogates (e.g., richness) might fail to detect critical changes in biodiversity. Collectively, our analyses highlight that leveraging co‐benefits between carbon and biodiversity in temperate forest may require stand‐scale management that prioritizes either biodiversity or carbon in order to maximize co‐benefits at broader scales. Importantly, this contrasts with tropical forests, where climate and biodiversity objectives can be integrated at the stand scale, thus highlighting the need for context‐specificity when managing for multiple objectives. Accounting for critical change‐points of target taxa can help to deal with this specificity, by defining a safe operating space to manipulate carbon while avoiding biodiversity losses.
Global Change Biolog... arrow_drop_down Global Change BiologyArticle . 2018 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: Crossrefhttps://dx.doi.org/10.48550/ar...Article . 2019License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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more_vert Global Change Biolog... arrow_drop_down Global Change BiologyArticle . 2018 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: Crossrefhttps://dx.doi.org/10.48550/ar...Article . 2019License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/gcb.14503&type=result"></script>'); --> </script>
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