营养相互作用是理解全球变化对棕熊分布和功能作用影响的关键

IF 12 1区 环境科学与生态学 Q1 BIODIVERSITY CONSERVATION
Pablo M. Lucas, Wilfried Thuiller, Lauren Talluto, Ester Polaina, Jörg Albrecht, Nuria Selva, Marta De Barba, Vincenzo Penteriani, Maya Guéguen, Niko Balkenhol, Trishna Dutta, Ancuta Fedorca, Shane C. Frank, Andreas Zedrosser, Ivan Afonso-Jordana, Hüseyin Ambarlı, Fernando Ballesteros, Andriy-Taras Bashta, Cemal Can Bilgin, Neda Bogdanović, Edgars Bojārs, Katarzyna Bojarska, Natalia Bragalanti, Henrik Brøseth, Mark W. Chynoweth, Duško Ćirović, Paolo Ciucci, Andrea Corradini, Daniele De Angelis, Miguel de Gabriel Hernando, Csaba Domokos, Aleksander Dutsov, Alper Ertürk, Stefano Filacorda, Lorenzo Frangini, Claudio Groff, Samuli Heikkinen, Bledi Hoxha, Djuro Huber, Otso Huitu, Georgeta Ionescu, Ovidiu Ionescu, Klemen Jerina, Ramon Jurj, Alexandros A. Karamanlidis, Jonas Kindberg, Ilpo Kojola, José Vicente López-Bao, Peep Männil, Dime Melovski, Yorgos Mertzanis, Paolo Molinari, Anja Molinari-Jobin, Andrea Mustoni, Javier Naves, Sergey Ogurtsov, Deniz Özüt, Santiago Palazón, Luca Pedrotti, Aleksandar Perović, Vladimir N. Piminov, Ioan-Mihai Pop, Marius Popa, Maria Psaralexi, Pierre-Yves Quenette, Georg Rauer, Slaven Reljic, Eloy Revilla, Urmas Saarma, Alexander P. Saveljev, Ali Onur Sayar, Çagan H. Şekercioğlu, Agnieszka Sergiel, George Sîrbu, Tomaž Skrbinšek, Michaela Skuban, Anil Soyumert, Aleksandar Stojanov, Egle Tammeleht, Konstantin Tirronen, Aleksandër Trajçe, Igor Trbojević, Tijana Trbojević, Filip Zięba, Diana Zlatanova, Tomasz Zwijacz-Kozica, Laura J. Pollock
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引用次数: 0

摘要

生物相互作用预计会影响物种对全球变化的反应,但很少在广泛的空间范围内考虑它们。非生物因素被认为在更大的空间尺度上起作用,而生物因素,如物种相互作用,被认为在群落内的局部尺度上更为重要,部分原因是在大空间尺度上物种相互作用的知识差距(即埃尔顿短缺)。在大陆尺度上,我们评估了(i)通过食物网的生物相互作用对物种分布的重要性,以及(ii)气候和土地利用变化情景下生物相互作用如何影响棕熊(Ursus arctos)的分布。基于来自欧洲不同分类群(植物、脊椎动物和无脊椎动物)的276种棕熊食物物种的能量贡献及其高分辨率的集合栖息地模型,我们建立了一个非常详细的、空间动态的、经验采样的食物网。然后,结合能量贡献和预测食物物种的栖息地,我们建立了跨空间的能量贡献模型,并将这些层包括在欧洲棕熊分布的贝叶斯模型中。与仅包含非生物因素(气候和土地利用)的贝叶斯模型相比,包含生物相互作用的模型大大提高了我们对大(大陆)尺度棕熊分布的理解。在考虑生物因子变化的各种情景时,预测的未来范围变化(包括食物物种分布的变化)变化很大,这为未来间接气候和土地利用变化可能对物种生物地理产生强烈但高度不确定的影响提供了警告。我们的研究证实,加深我们对物种相互作用的生态网络的理解将改善未来生物多样性变化的预测,特别是在气候和土地利用变化情景下物种分布及其功能作用的建模,这是有效保护生物多样性和生态系统服务的关键。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Trophic Interactions Are Key to Understanding the Effects of Global Change on the Distribution and Functional Role of the Brown Bear

Trophic Interactions Are Key to Understanding the Effects of Global Change on the Distribution and Functional Role of the Brown Bear

Trophic Interactions Are Key to Understanding the Effects of Global Change on the Distribution and Functional Role of the Brown Bear

Biotic interactions are expected to influence species' responses to global changes, but they are rarely considered across broad spatial extents. Abiotic factors are thought to operate at larger spatial scales, while biotic factors, such as species interactions, are considered more important at local scales within communities, in part because of the knowledge gap on species interactions at large spatial scales (i.e., the Eltonian shortfall). We assessed, at a continental scale, (i) the importance of biotic interactions, through food webs, on species distributions, and (ii) how biotic interactions under scenarios of climate and land-use change may affect the distribution of the brown bear (Ursus arctos). We built a highly detailed, spatially dynamic, and empirically sampled food web based on the energy contribution of 276 brown bear food species from different taxa (plants, vertebrates, and invertebrates) and their ensemble habitat models at high resolution across Europe. Then, combining energy contribution and predicted habitat of food species, we modelled energy contribution across space and included these layers within Bayesian-based models of the brown bear distribution in Europe. The inclusion of biotic interactions considerably improved our understanding of brown bear distribution at large (continental) scales compared with Bayesian models including only abiotic factors (climate and land use). Predicted future range shifts, which included changes in the distribution of food species, varied greatly when considering various scenarios of change in biotic factors, providing a warning that future indirect climate and land-use change are likely to have strong but highly uncertain impacts on species biogeography. Our study confirmed that advancing our understanding of ecological networks of species interactions will improve future projections of biodiversity change, especially for modelling species distributions and their functional role under climate and land-use change scenarios, which is key for effective conservation of biodiversity and ecosystem services.

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来源期刊
Global Change Biology
Global Change Biology 环境科学-环境科学
CiteScore
21.50
自引率
5.20%
发文量
497
审稿时长
3.3 months
期刊介绍: Global Change Biology is an environmental change journal committed to shaping the future and addressing the world's most pressing challenges, including sustainability, climate change, environmental protection, food and water safety, and global health. Dedicated to fostering a profound understanding of the impacts of global change on biological systems and offering innovative solutions, the journal publishes a diverse range of content, including primary research articles, technical advances, research reviews, reports, opinions, perspectives, commentaries, and letters. Starting with the 2024 volume, Global Change Biology will transition to an online-only format, enhancing accessibility and contributing to the evolution of scholarly communication.
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