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Liu H, Li J, He Y, Zheng T, Lin H, Xu C, Zhang Q, Ye Y, Lin C, Shen Z. Characterization of transgenic insect resistant sunflower (Helianthus annuus L.) expressing fusion protein Cry1Ab-Vip3Af2. Int J Biol Macromol 2024; 281:136219. [PMID: 39362429 DOI: 10.1016/j.ijbiomac.2024.136219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2024] [Revised: 09/29/2024] [Accepted: 09/30/2024] [Indexed: 10/05/2024]
Abstract
Lepidopteran pests frequently cause significant damage to Sunflowers (Helianthus annuus). In this study, the insect resistant fusion gene Cry1Ab-Vip3Af2 was transformed into sunflower by Agrobacterium-mediated transformation. A transgenic event, named MCPN-7, was selected and characterized for its high resistance to both yellow peach moth (Dichocrocis punctiferalis) and cotton bollworm (Helicoverpa armigera), two polyphagous pests feeding on various plants including sunflower. The neonates of both species feeding on MCPN-7 resulted to 100 % mortality within 72 h in laboratory bioassays. No significant damage caused by the two insects was observed in field trials of MCPN-7. ELISA analysis revealed that the fusion protein was predominantly expressed in leaves, seeds and heads. The flanking genomic sequence of the T-DNA of the event MCPN-7 was determined and confirmed by PCR analysis. In conclusion, the transgenic sunflowers obtained in this study is highly resistant to wide spectrum of Lepidopteran insect pests and could potentially be a candidate event for commercial development.
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Affiliation(s)
- Hengzhi Liu
- State Key Laboratory of Rice Biology, Institute of Insect Sciences, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310000, Zhejiang Province, China
| | - Jin Li
- State Key Laboratory of Rice Biology, Institute of Insect Sciences, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310000, Zhejiang Province, China
| | - Yiyang He
- State Key Laboratory of Rice Biology, Institute of Insect Sciences, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310000, Zhejiang Province, China
| | - Ting Zheng
- Hangzhou Ruifeng Biosciences Co., Ltd., 1500 Wenyi Road, Building 1, Room103, Hangzhou 310000, Zhejiang Province, China
| | - Haiyan Lin
- State Key Laboratory of Rice Biology, Institute of Insect Sciences, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310000, Zhejiang Province, China
| | - Chao Xu
- Hangzhou Ruifeng Biosciences Co., Ltd., 1500 Wenyi Road, Building 1, Room103, Hangzhou 310000, Zhejiang Province, China
| | - Qing Zhang
- Hangzhou Ruifeng Biosciences Co., Ltd., 1500 Wenyi Road, Building 1, Room103, Hangzhou 310000, Zhejiang Province, China
| | - Yuxuan Ye
- State Key Laboratory of Rice Biology, Institute of Insect Sciences, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310000, Zhejiang Province, China
| | - Chaoyang Lin
- State Key Laboratory of Rice Biology, Institute of Insect Sciences, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310000, Zhejiang Province, China
| | - Zhicheng Shen
- State Key Laboratory of Rice Biology, Institute of Insect Sciences, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310000, Zhejiang Province, China; Hangzhou Ruifeng Biosciences Co., Ltd., 1500 Wenyi Road, Building 1, Room103, Hangzhou 310000, Zhejiang Province, China.
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Zhang Y, Wan Y, Wang C, Chen J, Si Q, Ma F. Potential distribution of three invasive agricultural pests in China under climate change. Sci Rep 2024; 14:13672. [PMID: 38871779 DOI: 10.1038/s41598-024-63553-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2024] [Accepted: 05/30/2024] [Indexed: 06/15/2024] Open
Abstract
Invasive pests reduce biodiversity and ecosystem service functions, thereby leading to economic and also agricultural losses. Banana skipper (Erionota torus Evans), red palm weevil (Rhynchophorus ferrugineus), and coconut caterpillar (Opisina arenosella Walker) are invasive insect pests in the palm-growing regions and they have had serious consequences for the planting of bananas (Musa nana), palms (Trachycarpus fortune) and coconut (Cocos nucifera). Based on screened occurrence data, the present research utilized Maximum Entropy model (Maxent) to simulate the distribution dynamics of these three invasive insects in China, under current and future climate (2050s, 2070s, 2090s) in two shared socio-economic pathways (SSPs: 126 and 585) of the newly released coupled model intercomparison project phase6 (CMIP6). The results show that: (1) Under current and future climate conditions, all model groups exhibited an AUC value exceeding 0.92, which shows that the model prediction results are very good;(2) The suitable habitat area of E. torus Evans remains relatively stable with some expansion in the SSP126 of 2090s and some contraction in the SSP585 of 2090s. The suitable habitat area of R. ferrugineus showed an overall contraction, with substantial contraction in the SSP585 of 2090s.The suitable habitat area of O. arenosella has an overall expansion, with the most pronounced expansion in the SSP585 of 2070s; (3) The current centroid of suitable habitats for R. ferrugineus and E. torus Evans is located in Guangxi Province and wholely shift toward the south direction under future climate. The centroid of suitable habitats for O. arenosella is currently located in the northeastern maritime area of Hainan Province and will shift toward the north direction under future climate; (4) Temperature, precipitation and Human disturbance factors (Population density and Human influence index) were crucial variables for describing the distribution of the three species. For E. torus Evans in particular, percentage contributions of Population density was up to 31.4, which is only 0.1 different from ranked first Bio19 (Precipitation of the coldest quarter). The dynamics of habitats of these three species and the correlating driver factors proposed in this work provide essential insights into future spatial management of the three invasive insects in China. Our work is necessary and timely in identifying newly areas at high risk of expansion of the three invasive insects in the future, then suggesting strategic control measures to prevent their spread, and finally providing scientific evidence for the early prevention and rapid response to the three invasive insects.
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Affiliation(s)
- Yanjing Zhang
- State Key Laboratory of Environmental Protection and Biosafety, Nanjing Institute of Environmental Sciences, Ministry of Environmental Environment, 8 Jiangwangmiao Road, Nanjing, 210042, China
| | - Yaqiong Wan
- State Key Laboratory of Environmental Protection and Biosafety, Nanjing Institute of Environmental Sciences, Ministry of Environmental Environment, 8 Jiangwangmiao Road, Nanjing, 210042, China
| | - Chenbin Wang
- State Key Laboratory of Environmental Protection and Biosafety, Nanjing Institute of Environmental Sciences, Ministry of Environmental Environment, 8 Jiangwangmiao Road, Nanjing, 210042, China
| | - Jing Chen
- State Key Laboratory of Environmental Protection and Biosafety, Nanjing Institute of Environmental Sciences, Ministry of Environmental Environment, 8 Jiangwangmiao Road, Nanjing, 210042, China
| | - Qin Si
- Jiangsu Maritime Institute, 309 Gezhi Road, Nanjing, 211100, Jiangsu, China
| | - Fangzhou Ma
- State Key Laboratory of Environmental Protection and Biosafety, Nanjing Institute of Environmental Sciences, Ministry of Environmental Environment, 8 Jiangwangmiao Road, Nanjing, 210042, China.
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Ke C, Gong LX, Geng Y, Wang ZQ, Zhang WJ, Feng J, Jiang TL. Patterns and correlates of potential range shifts of bat species in China in the context of climate change. CONSERVATION BIOLOGY : THE JOURNAL OF THE SOCIETY FOR CONSERVATION BIOLOGY 2024:e14310. [PMID: 38842221 DOI: 10.1111/cobi.14310] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 03/22/2024] [Accepted: 04/20/2024] [Indexed: 06/07/2024]
Abstract
Climate change may diminish biodiversity; thus, it is urgent to predict how species' ranges may shift in the future by integrating multiple factors involving more taxa. Bats are particularly sensitive to climate change due to their high surface-to-volume ratio. However, few studies have considered geographic variables associated with roost availability and even fewer have linked the distributions of bats to their thermoregulation and energy regulation traits. We used species distribution models to predict the potential distributions of 12 bat species in China under current and future greenhouse gas emission scenarios (SSP1-2.6 and SSP5-8.5) and examined factors that could affect species' range shifts, including climatic, geographic, habitat, and human activity variables and wing surface-to-mass ratio (S-MR). The results suggest that Ia io, Rhinolophus ferrumequinum, and Rhinolophus rex should be given the highest priority for conservation in future climate conservation strategies. Most species were predicted to move northward, except for I. io and R. rex, which moved southward. Temperature seasonality, distance to forest, and distance to karst or cave were the main environmental factors affecting the potential distributions of bats. We found significant relationships between S-MR and geographic distribution, current potential distribution, and future potential distribution in the 2050s. Our work highlights the importance of analyzing range shifts of species with multifactorial approaches, especially for species traits related to thermoregulation and energy regulation, to provide targeted conservation strategies.
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Affiliation(s)
- Can Ke
- Jilin Provincial Key Laboratory of Animal Resource Conservation and Utilization, Northeast Normal University, Changchun, China
- Key Laboratory of Vegetation Ecology of Education Ministry, Institute of Grassland Science, Northeast Normal University, Changchun, China
| | - Li-Xin Gong
- Jilin Provincial Key Laboratory of Animal Resource Conservation and Utilization, Northeast Normal University, Changchun, China
- Key Laboratory of Vegetation Ecology of Education Ministry, Institute of Grassland Science, Northeast Normal University, Changchun, China
| | - Yang Geng
- Jilin Provincial Key Laboratory of Animal Resource Conservation and Utilization, Northeast Normal University, Changchun, China
- Key Laboratory of Vegetation Ecology of Education Ministry, Institute of Grassland Science, Northeast Normal University, Changchun, China
| | - Zhi-Qiang Wang
- Jilin Provincial Key Laboratory of Animal Resource Conservation and Utilization, Northeast Normal University, Changchun, China
- Key Laboratory of Vegetation Ecology of Education Ministry, Institute of Grassland Science, Northeast Normal University, Changchun, China
| | - Wen-Jun Zhang
- Jilin Provincial Key Laboratory of Animal Resource Conservation and Utilization, Northeast Normal University, Changchun, China
- Key Laboratory of Vegetation Ecology of Education Ministry, Institute of Grassland Science, Northeast Normal University, Changchun, China
| | - Jiang Feng
- Jilin Provincial Key Laboratory of Animal Resource Conservation and Utilization, Northeast Normal University, Changchun, China
- Key Laboratory of Vegetation Ecology of Education Ministry, Institute of Grassland Science, Northeast Normal University, Changchun, China
- College of Life Science, Jilin Agricultural University, Changchun, China
| | - Ting-Lei Jiang
- Jilin Provincial Key Laboratory of Animal Resource Conservation and Utilization, Northeast Normal University, Changchun, China
- Key Laboratory of Vegetation Ecology of Education Ministry, Institute of Grassland Science, Northeast Normal University, Changchun, China
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ElShahed SM, Mostafa ZK, Radwan MH, Hosni EM. Modeling the potential global distribution of the Egyptian cotton leafworm, Spodoptera littoralis under climate change. Sci Rep 2023; 13:17314. [PMID: 37828108 PMCID: PMC10570271 DOI: 10.1038/s41598-023-44441-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2023] [Accepted: 10/08/2023] [Indexed: 10/14/2023] Open
Abstract
The Egyptian cotton leafworm, Spodoptera littoralis is a highly invasive insect pest that causes extensive damage to many of the primary food crops. Considering the recent challenges facing global food production including climate change, knowledge about the invasive potential of this pest is essential. In this study, the maximum entropy model (MaxEnt) was used to predict the current global spatial distribution of the pest and the future distribution using two representative concentration pathways (RCPs) 2.6 and 8.5 in 2050 and 2070. High AUC and TSS values indicated model accuracy and high performance. Response curves showed that the optimal temperature for the S. littoralis is between 10 and 28 °C. The pest is currently found in Africa and is widely distributed across the Middle East and throughout Southern Europe. MaxEnt results revealed that the insect will shift towards Northern Europe and the Americas. Further, China was seen to have a suitable climate. We also extrapolated the impact of these results on major producing countries and how this affects trade flow, which help decision makers to take the invasiveness of such destructive pest into their account.
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Affiliation(s)
- Sara M ElShahed
- Department of Entomology, Faculty of Science, Ain Shams University, Abbassia, 11566, Cairo, Egypt.
| | - Zahia K Mostafa
- Department of Entomology, Faculty of Science, Ain Shams University, Abbassia, 11566, Cairo, Egypt
| | - Marwa H Radwan
- Department of Entomology, Faculty of Science, Ain Shams University, Abbassia, 11566, Cairo, Egypt
| | - Eslam M Hosni
- Department of Entomology, Faculty of Science, Ain Shams University, Abbassia, 11566, Cairo, Egypt.
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Qi Y, Xian X, Zhao H, Yang M, Zhang Y, Yu W, Liu W. World Spread of Tropical Soda Apple ( Solanum viarum) under Global Change: Historical Reconstruction, Niche Shift, and Potential Geographic Distribution. BIOLOGY 2023; 12:1179. [PMID: 37759579 PMCID: PMC10525411 DOI: 10.3390/biology12091179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 08/24/2023] [Accepted: 08/25/2023] [Indexed: 09/29/2023]
Abstract
Solanum viarum has become extensively invasive owing to international trade, climate change, and land-use change. As it is classified as a quarantine weed by countries such as the U.S. and Mexico, it is critical to understand the prevailing historical dispersal, ecological niche dynamics, and distribution patterns. We reconstructed the historical invasion countries and analyzed the ecological niche shift of S. viarum. Using MaxEnt based on the conservativeness of ecological niches, we studied variations in the potential geographical distributions (PGDs) of S. viarum in ecosystems and variations in suitability probabilities along latitudinal gradients. The invasion history in six continents involved three phases: lag (before 1980), spread (1980-2010), and equilibrium (2010-present). The ecological niche remains conserved. The area of S. viarum PGDs had increased by 259 km2; the PGDs will expand to reach a maximum in the 2050s, SSP5-8.5. The PGDs of S. viarum will migrate to higher latitudes under the same future climate scenarios. The latitudes subject to high threats range from 20° to 30° in forest and cropland ecosystems, 15.5° to 27.5° (northern hemisphere) and 33.1° to 42.8° (southern hemisphere) in grassland ecosystems, and 20° to 35° in urban ecosystems. Global change has led to an increased threat of S. viarum at high latitudes. These findings provide a theoretical basis to monitor and control S. viarum.
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Affiliation(s)
- Yuhan Qi
- State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (Y.Q.); (X.X.); (H.Z.); (M.Y.); (Y.Z.)
| | - Xiaoqing Xian
- State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (Y.Q.); (X.X.); (H.Z.); (M.Y.); (Y.Z.)
| | - Haoxiang Zhao
- State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (Y.Q.); (X.X.); (H.Z.); (M.Y.); (Y.Z.)
| | - Ming Yang
- State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (Y.Q.); (X.X.); (H.Z.); (M.Y.); (Y.Z.)
| | - Yu Zhang
- State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (Y.Q.); (X.X.); (H.Z.); (M.Y.); (Y.Z.)
| | - Wentao Yu
- Fujian Key Laboratory for Technology Research of Inspection and Quarantine, Technology Centre of Fuzhou Customs, Fuzhou 350001, China
| | - Wanxue Liu
- State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China; (Y.Q.); (X.X.); (H.Z.); (M.Y.); (Y.Z.)
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Liu T, Liu H, Wang Y, Yang Y. Climate Change Impacts on the Potential Distribution Pattern of Osphya (Coleoptera: Melandryidae), an Old but Small Beetle Group Distributed in the Northern Hemisphere. INSECTS 2023; 14:insects14050476. [PMID: 37233104 DOI: 10.3390/insects14050476] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Revised: 05/15/2023] [Accepted: 05/17/2023] [Indexed: 05/27/2023]
Abstract
Exploring the development of species distribution patterns under climate change is the basis of biogeography and macroecology. However, under the background of global climate change, few studies focus on how the distribution pattern and the range of insects have or will change in response to long-term climate change. An old but small, Northern-Hemisphere-distributed beetle group Osphya is an ideal subject to conduct the study in this aspect. Here, based on a comprehensive geographic dataset, we analyzed the global distribution pattern of Osphya using ArcGIS techniques, which declared a discontinuous and uneven distribution pattern across the USA, Europe, and Asia. Furthermore, we predicted the suitable habitats of Osphya under different climate scenarios via the MaxEnt model. The results showed that the high suitability areas were always concentrated in the European Mediterranean and the western coast of USA, while a low suitability exhibited in Asia. Moreover, by integrating the analyses of biogeography and habitat suitability, we inferred that the Osphya species conservatively prefer a warm, stable, and rainy climate, and they tend to expand towards higher latitude in response to the climate warming from the past to future. These results are helpful in exploring the species diversity and protection of Osphya.
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Affiliation(s)
- Tong Liu
- The Key Laboratory of Zoological Systematics and Application, School of Life Science, Institute of Life Science and Green Development, Hebei University, Baoding 071002, China
| | - Haoyu Liu
- The Key Laboratory of Zoological Systematics and Application, School of Life Science, Institute of Life Science and Green Development, Hebei University, Baoding 071002, China
| | - Yongjie Wang
- Institute of Zoology, Guangdong Academy of Sciences, Guangzhou 510075, China
| | - Yuxia Yang
- The Key Laboratory of Zoological Systematics and Application, School of Life Science, Institute of Life Science and Green Development, Hebei University, Baoding 071002, China
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Jing K, Li M, Zhao H, Guo J, Yang N, Yang M, Xian X, Liu W. Estimating the Global Geographical Distribution Patterns of the Invasive Crop Pest Diuraphis noxia Kurdjumov under Current and Future Climatic Scenarios. INSECTS 2023; 14:insects14050425. [PMID: 37233053 DOI: 10.3390/insects14050425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 04/21/2023] [Accepted: 04/27/2023] [Indexed: 05/27/2023]
Abstract
Invasive crop pests (ICPs) are a major cause of crop losses and adversely affect global food security. Diuraphis noxia Kurdjumov is a significant ICP that feeds on the sap of crops, reducing crop yield and quality. Although estimating the geographical distribution patterns of D. noxia under climate change is critical for its management and global food security, such information remains unclear. Based on 533 global occurrence records and 9 bioclimatic variables, an optimized MaxEnt model was used to predict the potential global geographical distribution of D. noxia. The results showed that Bio1, Bio2, Bio7, and Bio12 were significant bioclimatic variables that influenced the potential geographical distribution of D. noxia. Under current climatic conditions, D. noxia was mainly distributed in west-central Asia, most of Europe, central North America, southern South America, southern and northern Africa, and southern Oceania. Under the SSP 1-2.6, SSP 2-4.5, and SSP 5-8.5 scenarios for the 2030s and 2050s, the potential suitable areas increased, and the centroid migrated to higher latitudes. The early warning of D. noxia in northwestern Asia, western Europe, and North America should be attended to further. Our results provide a theoretical basis for early monitoring and warning of D. noxia worldwide.
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Affiliation(s)
- Kaiting Jing
- State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Ming Li
- State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Haoxiang Zhao
- State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Jianyang Guo
- State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Nianwan Yang
- State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China
- Western Agricultural Research Center, Chinese Academy of Agricultural Sciences, Changji 831100, China
| | - Ming Yang
- State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Xiaoqing Xian
- State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Wanxue Liu
- State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China
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Predicting the Habitat Suitability and Distribution of Two Species of Mound-Building Termites in Nigeria Using Bioclimatic and Vegetation Variables. DIVERSITY 2023. [DOI: 10.3390/d15020157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
Temperature is an important factor determining the abundance, distribution and diversity of termite species. Thus, termites are affected by changing climate and have to adopt different means of surviving in order to avoid extinction. Using termite occurrence data, bioclimatic variables and vegetation cover, we modelled and predicted the current and future habitat suitability for mound-building termites in Nigeria. Of the 19 bioclimatic variables and the vegetation index (NDVI) tested, only six were significant and eligible as predictors of habitat suitability for the mound-building termites Macrotermes subhyalinus and M. bellicosus. Under current climatic conditions (2022), the northwest, northeast and central regions are highly suitable for M. subhyalinus, while the distribution of M. bellicosus decreased in the North West, North East and in the Central region. However, regarding habitat suitability for the future (2050), there was a predicted range expansion into suitable areas for the two termite species. The increase in temperature due to global warming has an effect which can either result in migration or sometimes extinction of termite species within an ecosystem. Here, we have predicted habitat suitability for the two mound-building termite species under current and future climatic scenarios, and how the change in climatic variables would lead to an expansion in their range across Nigeria.
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Ouyang X, Lin H, Bai S, Chen J, Chen A. Simulation the potential distribution of Dendrolimus houi and its hosts, Pinus yunnanensis and Cryptomeria fortunei, under climate change in China. FRONTIERS IN PLANT SCIENCE 2022; 13:1054710. [PMID: 36452097 PMCID: PMC9703064 DOI: 10.3389/fpls.2022.1054710] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 10/26/2022] [Indexed: 06/17/2023]
Abstract
Due to climate change, it is significant to explore the impact of rising temperatures on the distribution of Dendrolimus houi Lajonquiere (Lepidoptera) and its host plants, Pinus yunnanensis and Cryptomeria fortunei, and to simulate their suitable future distribution areas in order to provide a theoretical basis for the monitoring of, and early warning about, D. houi and the formulation of effective prevention and control policies. Based on the known distribution areas of, and relevant climate data for, D. houi, P. yunnanensis, and C. fortunei, their suitable habitat in China was predicted using the ENMeval data package in order to adjust the maximum entropy (MaxEnt) model parameters. The results showed that the regularization multiplier was 0.5 when the feature combination was LQHPT, with a MaxEnt model of lowest complexity and excellent prediction accuracy. The main climate variable affecting the geographical distribution of D. houi, P. yunnanensis, and C. fortunei is temperature, specifically including isothermality, temperature seasonality, maximum temperature of warmest month, minimum temperature of warmest month, average temperature of coldest quarter. The potential suitable distribution areas for P. yunnanensis and D. houi were similar under climate change, mainly distributed in southwest China, while C. fortunei was mainly distributed in southeast China. Under different future-climate scenarios, the areas suitable for the three species will increase, except for P. yunnanensis in the 2070s under Shared Socioeconomic Pathway 5-8.5. With climate change, all three species were found to have a tendency to migrate to higher latitudes and higher altitudes. The centroids of the areas suitable for P. yunnanensis and D. houi will migrate to the northwest and the centroids of the areas suitable for C. fortunei will migrate to the northeast.
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Affiliation(s)
- Xianheng Ouyang
- School of Forestry and Biotechnology, Zhejiang A&F University, Hangzhou, China
| | - Haiping Lin
- School of Forestry and Biotechnology, Zhejiang A&F University, Hangzhou, China
| | - Shihao Bai
- Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China
| | - Jie Chen
- School of Forestry and Biotechnology, Zhejiang A&F University, Hangzhou, China
| | - Anliang Chen
- School of Forestry and Biotechnology, Zhejiang A&F University, Hangzhou, China
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Eigenbrode SD, Adhikari S, Kistner-Thomas E, Neven L. Introduction to the Collection: Climate Change, Insect Pests, and Beneficial Arthropods in Production Systems. JOURNAL OF ECONOMIC ENTOMOLOGY 2022; 115:1315-1319. [PMID: 35899796 DOI: 10.1093/jee/toac107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/25/2022] [Indexed: 06/15/2023]
Abstract
Climate change is expected to alter pressure from insect pests and the abundance and effectiveness of insect pollinators across diverse agriculture and forestry systems. In response to warming, insects are undergoing or are projected to undergo shifts in their geographic ranges, voltinism, abundance, and phenology. Drivers include direct effects on the focal insects and indirect effects mediated by their interactions with species at higher or lower trophic levels. These climate-driven effects are complex and variable, sometimes increasing pest pressure or reducing pollination and sometimes with opposite effects depending on climatic baseline conditions and the interplay of these drivers. This special collection includes several papers illustrative of these biological effects on pests and pollinators. In addition, in response to or anticipating climate change, producers are modifying production systems by introducing more or different crops into rotations or as cover crops or intercrops or changing crop varieties, with potentially substantial effects on associated insect communities, an aspect of climate change that is relatively understudied. This collection includes several papers illustrating these indirect production system-level effects. Together, biological and management-related effects on insects comprise the necessary scope for anticipating and responding to the effects of climate change on insects in agriculture and forest systems.
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Affiliation(s)
- Sanford D Eigenbrode
- Department of Entomology, Plant Pathology and Nematology, University of Idaho, Moscow, ID, USA
| | - Subodh Adhikari
- Department of Entomology, Plant Pathology and Nematology, University of Idaho, Moscow, ID, USA
| | - Erica Kistner-Thomas
- Institute of Food Production and Sustainability, National Institute of Food and Agriculture, Kansas City, MO, USA
| | - Lisa Neven
- USDA-ARS, Temperate Tree Fruit and Vegetable Research Unit, Wapato, WA, USA
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