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Riva F, Barbero F, Balletto E, Bonelli S. Combining environmental niche models, multi-grain analyses, and species traits identifies pervasive effects of land use on butterfly biodiversity across Italy. GLOBAL CHANGE BIOLOGY 2023; 29:1715-1728. [PMID: 36695553 DOI: 10.1111/gcb.16615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 12/10/2022] [Accepted: 01/03/2023] [Indexed: 05/28/2023]
Abstract
Understanding how species respond to human activities is paramount to ecology and conservation science, one outstanding question being how large-scale patterns in land use affect biodiversity. To facilitate answering this question, we propose a novel analytical framework that combines environmental niche models, multi-grain analyses, and species traits. We illustrate the framework capitalizing on the most extensive dataset compiled to date for the butterflies of Italy (106,514 observations for 288 species), assessing how agriculture and urbanization have affected biodiversity of these taxa from landscape to regional scales (3-48 km grains) across the country while accounting for its steep climatic gradients. Multiple lines of evidence suggest pervasive and scale-dependent effects of land use on butterflies in Italy. While land use explained patterns in species richness primarily at grains ≤12 km, idiosyncratic responses in species highlighted "winners" and "losers" across human-dominated regions. Detrimental effects of agriculture and urbanization emerged from landscape (3-km grain) to regional (48-km grain) scales, disproportionally affecting small butterflies and butterflies with a short flight curve. Human activities have therefore reorganized the biogeography of Italian butterflies, filtering out species with poor dispersal capacity and narrow niche breadth not only from local assemblages, but also from regional species pools. These results suggest that global conservation efforts neglecting large-scale patterns in land use risk falling short of their goals, even for taxa typically assumed to persist in small natural areas (e.g., invertebrates). Our study also confirms that consideration of spatial scales will be crucial to implementing effective conservation actions in the Post-2020 Global Biodiversity Framework. In this context, applications of the proposed analytical framework have broad potential to identify which mechanisms underlie biodiversity change at different spatial scales.
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Affiliation(s)
- Federico Riva
- Department of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland
| | - Francesca Barbero
- Department of Life Sciences and Systems Biology (DBIOS), University of Turin, Turin, Italy
| | - Emilio Balletto
- Department of Life Sciences and Systems Biology (DBIOS), University of Turin, Turin, Italy
| | - Simona Bonelli
- Department of Life Sciences and Systems Biology (DBIOS), University of Turin, Turin, Italy
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Yu XT, Yang FL, Da W, Li YC, Xi HM, Cotton AM, Zhang HH, Duan K, Xu ZB, Gong ZX, Wang WL, Hu SJ. Species Richness of Papilionidae Butterflies (Lepidoptera: Papilionoidea) in the Hengduan Mountains and Its Future Shifts under Climate Change. INSECTS 2023; 14:259. [PMID: 36975944 PMCID: PMC10058169 DOI: 10.3390/insects14030259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 03/01/2023] [Accepted: 03/03/2023] [Indexed: 06/18/2023]
Abstract
The family of Papilionidae (Lepidoptera: Papilionoidea) is a group of butterflies with high ecological and conservation value. The Hengduan Mountains (HMDs) in Southwest China is an important diversity centre for these butterflies. However, the spatial distribution pattern and the climate vulnerability of Papilionidae butterflies in the HDMs remain unknown to date. The lack of such knowledge has already become an obstacle in formulating effective butterfly conservation strategies. The present research compiled a 59-species dataset with 1938 occurrence points. The Maxent model was applied to analyse the spatial pattern of species richness in subfamilies Parnassiinae and Papilioninae, as well as to predict the response under the influence of climate change. The spatial pattern of both subfamilies in the HDMs has obvious elevation prevalence, with Parnassiinae concentrated in the subalpine to alpine areas (2500-5500 m) in western Sichuan, northwestern Yunnan and eastern Tibet, while Papilioninae is concentrated in the low- to medium-elevation areas (1500-3500 m) in the river valleys of western Yunnan and western Sichuan. Under the influence of climate change, both subfamilies would exhibit northward and upward range shifts. The majority of Parnassiinae species would experience drastic habitat contraction, resulting in lower species richness across the HDMs. In contrast, most Papilioninae species would experience habitat expansion, and the species richness would also increase significantly. The findings of this research should provide new insights and a clue for butterfly diversity and climatic vulnerability in southwestern China. Future conservation efforts should be focused on species with habitat contraction, narrow-ranged distribution and endemicity with both in situ and ex situ measures, especially in protected areas. Commercialised collecting targeting these species must also be regulated by future legislation.
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Affiliation(s)
- Xin-Tong Yu
- Institute of International Rivers and Eco-Security, Yunnan University, Kunming 650500, China
- Yunnan Key Laboratory of International Rivers and Transboundary Eco-Security, Yunnan University, Kunming 650500, China
- Asian International River Center, Kunming 650500, China
| | - Fei-Ling Yang
- Institute of International Rivers and Eco-Security, Yunnan University, Kunming 650500, China
- Yunnan Key Laboratory of International Rivers and Transboundary Eco-Security, Yunnan University, Kunming 650500, China
- Asian International River Center, Kunming 650500, China
| | - Wa Da
- Tibet Plateau Institute of Biology, Lhasa 850008, China
| | - Yu-Chun Li
- Yulong Xueshan Provincial Nature Reserve, Yulong, Lijiang 674100, China
| | - Hong-Mei Xi
- Yulong Xueshan Provincial Nature Reserve, Yulong, Lijiang 674100, China
| | - Adam M. Cotton
- 86/2 Moo 5, Tambon Nong Kwai, Hang Dong, Chiang Mai 50230, Thailand
| | - Hui-Hong Zhang
- School of Agriculture, Yunnan University, Kunming 650500, China
| | - Kuang Duan
- School of Agriculture, Yunnan University, Kunming 650500, China
| | - Zhen-Bang Xu
- School of Agriculture, Yunnan University, Kunming 650500, China
| | - Zhi-Xian Gong
- Yulong Xueshan Provincial Nature Reserve, Yulong, Lijiang 674100, China
| | - Wen-Ling Wang
- Institute of International Rivers and Eco-Security, Yunnan University, Kunming 650500, China
- Yunnan Key Laboratory of International Rivers and Transboundary Eco-Security, Yunnan University, Kunming 650500, China
- Asian International River Center, Kunming 650500, China
| | - Shao-Ji Hu
- Institute of International Rivers and Eco-Security, Yunnan University, Kunming 650500, China
- Yunnan Key Laboratory of International Rivers and Transboundary Eco-Security, Yunnan University, Kunming 650500, China
- Asian International River Center, Kunming 650500, China
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