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Ismaili RRR, Peng X, Li Y, Ali A, Ahmad T, Rahman AU, Ahmad S, Shi K. Modeling Habitat Suitability of Snow Leopards in Yanchiwan National Reserve, China. Animals (Basel) 2024; 14:1938. [PMID: 38998049 PMCID: PMC11240653 DOI: 10.3390/ani14131938] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2024] [Revised: 06/19/2024] [Accepted: 06/24/2024] [Indexed: 07/14/2024] Open
Abstract
Snow leopards (Panthera uncia) are elusive predators inhabiting high-altitude and mountainous rugged habitats. The current study was conducted in the Yanchiwan National Nature Reserve, Gansu Province, China, to assess the habitat suitability of snow leopards and identify key environmental factors inducing their distribution. Field data collected between 2019 and 2022 through scat sampling and camera trapping techniques provided insights into snow leopard habitat preferences. Spatial distribution and cluster analyses show distinct hotspots of high habitat suitability, mostly concentrated near mountainous landscapes. While altitude remains a critical determinant, with places above 3300 m showing increased habitat suitability, other factors such as soil type, human footprint, forest cover, prey availability, and human disturbance also play important roles. These variables influence ecological dynamics and are required to assess and manage snow leopard habitats. The MaxEnt model has helped us to better grasp these issues, particularly the enormous impact of human activities on habitat suitability. The current study highlights the importance of altitude in determining snow leopard habitat preferences and distribution patterns in the reserve. Furthermore, the study underscores the significance of considering elevation in conservation planning and management strategies for snow leopards, particularly in mountainous regions. By combining complete environmental data with innovative modeling tools, this study not only improves local conservation efforts but also serves as a model for similar wildlife conservation initiatives around the world. By understanding the environmental factors driving snow leopard distribution, conservation efforts can be more efficiently directed to ensure the long-term survival of this endangered species. This study provides valuable insights for evidence-based conservation efforts to safeguard the habitats of snow leopards amidst emerging anthropogenic pressure and environmental fluctuations.
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Affiliation(s)
| | - Xiaoxu Peng
- Zhejiang Huadong Forestry Engineering Consulting and Design Corporation, Hangzhou 310019, China
| | - Yibin Li
- Eco-Bridge Continental, Beijing 100085, China
| | - Arshad Ali
- Department of Zoology, Malakand University, Chakdara 18800, Lower Dir, Khyber Pakhtunkhwa, Pakistan
| | - Tariq Ahmad
- College of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, China
| | - Anees Ur Rahman
- The Wildlife Institute, School of Ecology & Nature Conservation, Beijing Forestry University, Beijing 100083, China
| | - Shahid Ahmad
- School of Ecology and Environment, Hainan University, Haikou 570228, China
| | - Kun Shi
- The Wildlife Institute, School of Ecology & Nature Conservation, Beijing Forestry University, Beijing 100083, China
- Eco-Bridge Continental, Beijing 100085, China
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2
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Chen W, Wang X, Cai Y, Huang X, Li P, Liu W, Chang Q, Hu C. Potential distribution patterns and species richness of avifauna in rapidly urbanizing East China. Ecol Evol 2024; 14:e11515. [PMID: 38895583 PMCID: PMC11183928 DOI: 10.1002/ece3.11515] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2024] [Revised: 05/09/2024] [Accepted: 05/15/2024] [Indexed: 06/21/2024] Open
Abstract
In recent years, increased species extinction and habitat loss have significantly reduced biodiversity, posing a serious threat to both nature and human survival. Environmental factors strongly influence bird distribution and diversity. The potential distribution patterns and species richness offer a conservation modeling framework for policymakers to assess the effectiveness of natural protected areas (PAs) and optimize their existing ones. Very few such studies have been published that cover a large and complete taxonomic group with fine resolution at regional scale. Here, using birds as a study group, the maximum entropy model (MaxEnt) was used to analyze the pattern of bird species richness in Jiangsu Province. Using an unparalleled amount of occurrence data, we created species distribution models (SDMs) for 312 bird species to explore emerging diversity patterns at a resolution of 1 km2. The gradient of species richness is steep, decreasing sharply away from water bodies, particularly in the northern part of Jiangsu Province. The migratory status and feeding habits of birds also significantly influence the spatial distribution of avian species richness. This study reveals that the regions with high potential bird species richness are primarily distributed in three areas: the eastern coastal region, the surrounding area of the lower reaches of the Yangtze River, and the surrounding area of Taihu Lake. Compared with species richness hotspots and existing PAs, we found that the majority of hotspots are well-protected. However, only a small portion of the regions, such as coastal areas of Sheyang County in Yancheng City, as well as some regions along the Yangtze River in Nanjing and Zhenjiang, currently have relatively weak protection. Using stacked SDMs, our study reveals effective insights into diversity patterns, directly informing conservation policies and contributing to macroecological research advancements.
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Affiliation(s)
- Wan Chen
- College of Environment and EcologyJiangsu Open University (The City Vocational College of Jiangsu)NanjingJiangsuChina
| | - Xuan Wang
- Jiangsu Academy of ForestryNanjingJiangsuChina
- College of Life SciencesNanjing Normal UniversityNanjingJiangsuChina
- Yangzhou Urban Forest Ecosystem National Research StationYangzhouJiangsuChina
| | - Yuanyuan Cai
- Shanghai International Airport Co., Ltd. Pudong International AirportShanghaiChina
| | - Xinglong Huang
- College of Life SciencesNanjing Normal UniversityNanjingJiangsuChina
| | - Peng Li
- College of Life SciencesNanjing Normal UniversityNanjingJiangsuChina
| | - Wei Liu
- Nanjing Institute of Environmental Sciences, Ministry of Environmental ProtectionNanjingJiangsuChina
| | - Qing Chang
- College of Life SciencesNanjing Normal UniversityNanjingJiangsuChina
| | - Chaochao Hu
- College of Life SciencesNanjing Normal UniversityNanjingJiangsuChina
- Analytical and Testing CenterNanjing Normal UniversityNanjingJiangsuChina
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3
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Oh G, Wi Y, Kang HJ, Cheon SJ, Sung HC, Kim Y, Jin HS. Assessment of American Bullfrog (Lithobates catesbeianus) spreading in the Republic of Korea using rule learning of elementary cellular automata. Sci Rep 2024; 14:11548. [PMID: 38773141 PMCID: PMC11109106 DOI: 10.1038/s41598-024-62139-3] [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: 11/02/2023] [Accepted: 05/14/2024] [Indexed: 05/23/2024] Open
Abstract
The spread of American Bullfrog has a significant impact on the surrounding ecosystem. It is important to study the mechanisms of their spreading so that proper mitigation can be applied when needed. This study analyzes data from national surveys on bullfrog distribution. We divided the data into 25 regional clusters. To assess the spread within each cluster, we constructed temporal sequences of spatial distribution using the agglomerative clustering method. We employed Elementary Cellular Automata (ECA) to identify rules governing the changes in spatial patterns. Each cell in the ECA grid represents either the presence or absence of bullfrogs based on observations. For each cluster, we counted the number of presence location in the sequence to quantify spreading intensity. We used a Convolutional Neural Network (CNN) to learn the ECA rules and predict future spreading intensity by estimating the expected number of presence locations over 400 simulated generations. We incorporated environmental factors by obtaining habitat suitability maps using Maxent. We multiplied spreading intensity by habitat suitability to create an overall assessment of bullfrog invasion risk. We estimated the relative spreading assessment and classified it into four categories: rapidly spreading, slowly spreading, stable populations, and declining populations.
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Affiliation(s)
- Gyujin Oh
- Department of Mathematics and Statistics, Chonnam National University, 77 Yongbongro, Bukgu, Gwangju, 61186, Republic of Korea
| | - Yunju Wi
- Department of Mathematics and Statistics, Chonnam National University, 77 Yongbongro, Bukgu, Gwangju, 61186, Republic of Korea
| | - Hee-Jin Kang
- School of Biological of Sciences and Biotechnology, Chonnam National University, 77 Yongbongro, Bukgu, Gwangju, 61186, Republic of Korea
| | - Seung-Ju Cheon
- School of Biological of Sciences and Biotechnology, Chonnam National University, 77 Yongbongro, Bukgu, Gwangju, 61186, Republic of Korea
| | - Ha-Cheol Sung
- Department of Biological Sciences, College of Natural Sciences, Chonnam National University, 77 Yongbongro, Bukgu, Gwangju, 61186, Republic of Korea
| | - Yena Kim
- Department of Mathematics, Hawaii Pacific University, 1 Aloha Tower Drive, Honolulu, HI, 96813, USA
| | - Hong-Sung Jin
- Department of Mathematics and Statistics, Chonnam National University, 77 Yongbongro, Bukgu, Gwangju, 61186, Republic of Korea.
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4
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Wei J, Lu Y, Niu M, Cai B, Shi H, Ji W. Novel insights into hotspots of insect vectors of GLRaV-3: Dynamics and global distribution. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 925:171664. [PMID: 38508278 DOI: 10.1016/j.scitotenv.2024.171664] [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: 01/26/2024] [Revised: 03/07/2024] [Accepted: 03/10/2024] [Indexed: 03/22/2024]
Abstract
Grapevine leafroll-associated virus 3 (GLRaV-3) is the most prevalent and economically damaging virus in grapevines and is found on nearly all continents, except Antarctica. Ten mealybugs act as vector insects transmitting the GLRaV-3. Understanding the potential distribution range of vector insects under climate change is crucial for preventing and managing vector insects and controlling and delaying the spread of GLRaV-3. This study investigated the potential geographical range of insect vectors of GLRaV-3 worldwide using MaxEnt (maximum entropy) based on occurrence data under environmental variables. The potential distributions of these insects were projected for the 2030s, 2050s, 2070s, and 2090s under the three climate change scenarios. The results showed that the potential distribution range of most vector insects is concentrated in Southeastern North America, Europe, Asia, and Southeast Australia. Most vector insects contract their potential distribution ranges under climate-change conditions. The stacked model suggested that potential distribution hotspots of vector insects were present in Southeastern North America, Europe, Southeast Asia, and Southeast Australia. The potential distribution range of hotspots would shrink with climate change. These results provide important information for governmental decision-makers and farmers in developing control and management strategies against vector insects of GLRaV-3. They can also serve as references for studies on other insect vectors.
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Affiliation(s)
- Jiufeng Wei
- College of Plant Protection, Shanxi Agricultural University, Taigu 030801, China
| | - Yunyun Lu
- College of Plant Protection, Shanxi Agricultural University, Taigu 030801, China
| | - Minmin Niu
- College of Plant Protection, Shanxi Agricultural University, Taigu 030801, China
| | - Bo Cai
- Post-Entry Quarantine Station for Tropical Plant, Haikou Customs District, Haikou 570311, China
| | - Huafeng Shi
- Bureau of Agriculture and Rural Affairs of Yuncheng City, Yanhu 044000, China
| | - Wei Ji
- Bureau of Agriculture and Rural Affairs of Yuncheng City, Yanhu 044000, China; College of Horticulture, Shanxi Agricultural University, Taigu 030801, China.
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5
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Baltensperger AP, Lanier HC, Olson LE. Extralimital terrestrials: A reassessment of range limits in Alaska's land mammals. PLoS One 2024; 19:e0294376. [PMID: 38739612 PMCID: PMC11090306 DOI: 10.1371/journal.pone.0294376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Accepted: 04/19/2024] [Indexed: 05/16/2024] Open
Abstract
Understanding and mitigating the effects of anthropogenic climate change on species distributions requires the ability to track range shifts over time. This is particularly true for species occupying high-latitude regions, which are experiencing more extreme climate change than the rest of the world. In North America, the geographic ranges of many mammals reach their northernmost extent in Alaska, positioning this region at the leading edge of climate-induced distribution change. Over a decade has elapsed since the publication of the last spatial assessments of terrestrial mammals in the state. We compared public occurrence records against commonly referenced range maps to evaluate potential extralimital records and develop repeatable baseline range maps. We compared occurrence records from the Global Biodiversity Information Facility for 61 terrestrial mammal species native to mainland Alaska against a variety of range estimates (International Union for Conservation of Nature, Alaska Gap Analysis Project, and the published literature). We mapped extralimital records and calculated proportions of occurrences encompassed by range extents, measured mean direction and distance to prior range margins, evaluated predictive accuracy of published species models, and highlighted observations on federal lands in Alaska. Range comparisons identified 6,848 extralimital records for 39 of 61 (63.9%) terrestrial mainland Alaskan species. On average, 95.5% of Alaska Gap Analysis Project occurrence records and ranges were deemed accurate (i.e., > 90.0% correct) for 31 of 37 species, but overestimated extents for 13 species. The International Union for Conservation of Nature range maps encompassed 68.1% of occurrence records and were > 90% accurate for 17 of 39 species. Extralimital records represent either improved sampling and digitization or actual geographic range expansions. Here we provide new data-driven range maps, update standards for the archiving of museum-quality locational records and offer recommendations for mapping range changes for monitoring and conservation.
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Affiliation(s)
- Andrew P. Baltensperger
- University of Alaska Museum, University of Alaska Fairbanks, Fairbanks, AK, United States of America
- International Arctic Research Center, University of Alaska Fairbanks, Fairbanks, AK, United States of America
- Department of Biology, Eastern Oregon University, La Grande, OR, United States of America
| | - Hayley C. Lanier
- Sam Noble Museum, University of Oklahoma, Norman, OK, United States of America
| | - Link E. Olson
- University of Alaska Museum, University of Alaska Fairbanks, Fairbanks, AK, United States of America
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6
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Howard C, Marjakangas EL, Morán-Ordóñez A, Milanesi P, Abuladze A, Aghababyan K, Ajder V, Arkumarev V, Balmer DE, Bauer HG, Beale CM, Bino T, Boyla KA, Burfield IJ, Burke B, Caffrey B, Chodkiewicz T, Del Moral JC, Mazal VD, Fernández N, Fornasari L, Gerlach B, Godinho C, Herrando S, Ieronymidou C, Johnston A, Jovicevic M, Kalyakin M, Keller V, Knaus P, Kotrošan D, Kuzmenko T, Leitão D, Lindström Å, Maxhuni Q, Mihelič T, Mikuska T, Molina B, Nagy K, Noble D, Øien IJ, Paquet JY, Pladevall C, Portolou D, Radišić D, Rajkov S, Rajković DZ, Raudonikis L, Sattler T, Saveljić D, Shimmings P, Sjenicic J, Šťastný K, Stoychev S, Strus I, Sudfeldt C, Sultanov E, Szép T, Teufelbauer N, Uzunova D, van Turnhout CAM, Velevski M, Vikstrøm T, Vintchevski A, Voltzit O, Voříšek P, Wilk T, Zurell D, Brotons L, Lehikoinen A, Willis SG. Local colonisations and extinctions of European birds are poorly explained by changes in climate suitability. Nat Commun 2023; 14:4304. [PMID: 37474503 PMCID: PMC10359363 DOI: 10.1038/s41467-023-39093-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 05/23/2023] [Indexed: 07/22/2023] Open
Abstract
Climate change has been associated with both latitudinal and elevational shifts in species' ranges. The extent, however, to which climate change has driven recent range shifts alongside other putative drivers remains uncertain. Here, we use the changing distributions of 378 European breeding bird species over 30 years to explore the putative drivers of recent range dynamics, considering the effects of climate, land cover, other environmental variables, and species' traits on the probability of local colonisation and extinction. On average, species shifted their ranges by 2.4 km/year. These shifts, however, were significantly different from expectations due to changing climate and land cover. We found that local colonisation and extinction events were influenced primarily by initial climate conditions and by species' range traits. By contrast, changes in climate suitability over the period were less important. This highlights the limitations of using only climate and land cover when projecting future changes in species' ranges and emphasises the need for integrative, multi-predictor approaches for more robust forecasting.
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Affiliation(s)
- Christine Howard
- Conservation Ecology Group, Department of Biosciences, Durham University, South Road, Durham, DH1 3LE, UK.
| | - Emma-Liina Marjakangas
- The Helsinki Lab of Ornithology, Finnish Museum of Natural History, University of Helsinki, Helsinki, Finland
| | - Alejandra Morán-Ordóñez
- Ecological and Forestry Applications Research Centre (CREAF), 08193, Cerdanyola del Vallès, Spain
- Forest Science and Tecnology Centre (CTFC), Carretera vella de Sant Llorenç de Morunys km 2, 25280, Sant Llorenç de Morunys, Spain
| | - Pietro Milanesi
- Swiss Ornithological Institute, Seerose 1, 6204, Sempach, Switzerland
- Department of Biological, Geological and Environmental Sciences (BiGeA), University of Bologna, Via F. Selmi 3, 40126, Bologna, Italy
| | - Aleksandre Abuladze
- Institute of Zoology, Ilia State University, Kakutsa Cholokashvili Ave 3 / 5, Tbilisi, 0162, Georgia
| | - Karen Aghababyan
- BirdLinks Armenia (former TSE-Towards Sustainable Ecosystems) NGO, 87b Dimitrov, apt 14, Yerevan, Armenia
| | - Vitalie Ajder
- Society for Birds and Nature Protection, Leova, Republic of Moldova
- Moldova State University, A.Mateevici str. 60, Chişinău, Republic of Moldova
| | - Volen Arkumarev
- Bulgarian Society for the Protection of Birds/BirdLife Bulgaria, Sofia 1111, Yavorov complex, bl. 71, en. 1, ap. 1, Sofia, Bulgaria
| | - Dawn E Balmer
- British Trust for Ornithology, The Nunnery, Thetford, Norfolk, IP24 2PU, UK
- Atlas Steering Committee, European Bird Census Council, Na Bělidle 34, CZ-150 00, Prague 5, Czech Republic
| | - Hans-Günther Bauer
- Atlas Steering Committee, European Bird Census Council, Na Bělidle 34, CZ-150 00, Prague 5, Czech Republic
- Max-Planck Institute of Animal Behaviour, Am Obstberg 1, 78315, Radolfzell, Germany
| | - Colin M Beale
- York Environmental Sustainability Institute, University of York, York, YO10 5NG, UK
- Department of Biology, University of York, YO10 5DD, York, UK
| | - Taulant Bino
- Albanian Ornithological Society, Rr. "Vaso Pasha", Nd. 4, Apt. 3, 1004, Tirana, Albania
| | - Kerem Ali Boyla
- WWF Turkey, Büyük Postane Caddesi No: 19 Kat: 5, 34420, Bahçekapı-Fatih, İstanbul, Turkey
| | - Ian J Burfield
- BirdLife International, David Attenborough Building, Pembroke Street, Cambridge, CB2 3QZ, UK
| | - Brian Burke
- BirdWatch Ireland, Unit 20, Block D, Bullford Business Campus, Kilcoole, Greystones, County Wicklow, Ireland
| | - Brian Caffrey
- BirdWatch Ireland, Unit 20, Block D, Bullford Business Campus, Kilcoole, Greystones, County Wicklow, Ireland
| | - Tomasz Chodkiewicz
- Museum and Institute of Zoology, Polish Academy of Sciences, Wilcza 64, 00-679, Warszawa, Poland
- Polish Society for the Protection of Birds, Odrowąża 24, 05-270, Marki, Poland
| | - Juan Carlos Del Moral
- Sociedad Española de Ornitología (SEO/BirdLife), Melquiades Biencinto, 34, 28053, Madrid, Spain
| | - Vlatka Dumbovic Mazal
- Institute for Environment and Nature, Ministry of Economy and Sustainable Development, Radnicka cesta 80, 10 000, Zagreb, Croatia
| | - Néstor Fernández
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
- Inst. of Biology, Martin Luther Univ. Halle-Wittenberg, Halle, Germany
| | | | - Bettina Gerlach
- DDA-Federation of German Avifaunists, An den Speichern 2, D-48157, Münster, Germany
| | - Carlos Godinho
- MED-Mediterranean Institute for Agriculture, Environment and Development; LabOr-Laboratório de Ornitologia Universidade de Évora Pólo da Mitra, Apartado 94, 7002-774, Évora, Portugal
| | - Sergi Herrando
- Ecological and Forestry Applications Research Centre (CREAF), 08193, Cerdanyola del Vallès, Spain
- Atlas Steering Committee, European Bird Census Council, Na Bělidle 34, CZ-150 00, Prague 5, Czech Republic
- Catalan Ornithological Institute, Natural History Museum of Barcelona, Plaça Leonardo da Vinci 4-5, 08019, Barcelona, Spain
| | | | - Alison Johnston
- Centre for Research into Ecological and Environmental Modelling, University of St Andrews, St Andrews, UK
| | | | - Mikhail Kalyakin
- Atlas Steering Committee, European Bird Census Council, Na Bělidle 34, CZ-150 00, Prague 5, Czech Republic
- Zoological Museum of Lomonosov Moscow State University, Bolshaya Nikitskaya Str., 2, Moscow, 125009, Russia
| | - Verena Keller
- Swiss Ornithological Institute, Seerose 1, 6204, Sempach, Switzerland
- Atlas Steering Committee, European Bird Census Council, Na Bělidle 34, CZ-150 00, Prague 5, Czech Republic
| | - Peter Knaus
- Swiss Ornithological Institute, Seerose 1, 6204, Sempach, Switzerland
| | - Dražen Kotrošan
- Ornithological society "Naše ptice", Semira Frašte 6, 71 000, Sarajevo, Bosnia and Herzegovina
| | - Tatiana Kuzmenko
- Ukrainian Society for the Protection of Birds, P.O. Box 33, Kyiv, 01103, Ukraine
| | - Domingos Leitão
- Sociedade Portuguesa para o Estudo das Aves, Av. Almirante Gago Coutinho, 46A, 1700-031, Lisboa, Portugal
| | - Åke Lindström
- Department of Biology, Lund University, Lund, Sweden
| | - Qenan Maxhuni
- Kosovo Ornithological Society, Str. Hysni Gashi no. 28, Kalabri, 10 000, Prishtinë, Republic of Kosovo
| | - Tomaž Mihelič
- DOPPS-BirdLife Slovenia, Tržaška c. 2, SI, 1000, Ljubljana, Slovenia
| | - Tibor Mikuska
- Croatian Society for Birds and Nature Protection, Gundulićeva 19a, HR-31000, Osijek, Croatia
| | - Blas Molina
- Sociedad Española de Ornitología (SEO/BirdLife), Melquiades Biencinto, 34, 28053, Madrid, Spain
| | - Károly Nagy
- MME BirdLife Hungary, 1121 Költő u. 21, Budapest, Hungary
| | - David Noble
- British Trust for Ornithology, The Nunnery, Thetford, Norfolk, IP24 2PU, UK
- Atlas Steering Committee, European Bird Census Council, Na Bělidle 34, CZ-150 00, Prague 5, Czech Republic
| | | | | | - Clara Pladevall
- Andorra Research + Innovation, Av. Rocafort 21-23, AD600, Sant Julià de Lòria, Andorra
| | - Danae Portolou
- Hellenic Ornithological Society / BirdLife Greece, Agiou Konstantinou 52, Athens, 10437, Greece
| | - Dimitrije Radišić
- University of Novi Sad, Faculty of Sciences, Department of Biology and Ecology, Trg Dositeja Obradovića 3, Novi Sad, 21000, Serbia
| | - Saša Rajkov
- Center for Biodiversity Research, Maksima Gorkog 40/3, 21000, Novi Sad, Serbia
| | - Draženko Z Rajković
- Center for Biodiversity Research, Maksima Gorkog 40/3, 21000, Novi Sad, Serbia
| | - Liutauras Raudonikis
- Lithuanian Ornithological Society, Naugarduko st. 47-3, LT-03208, Vilnius, Lithuania
| | - Thomas Sattler
- Swiss Ornithological Institute, Seerose 1, 6204, Sempach, Switzerland
| | - Darko Saveljić
- Environmental Protection Agency of Montenegro, IV proleterske 19, 81000, Podgorica, Montenegro
| | - Paul Shimmings
- BirdLife Norway. Sandgata 30b, NO-7012, Trondheim, Norway
| | - Jovica Sjenicic
- Ornithological society "Naše ptice", Semira Frašte 6, 71 000, Sarajevo, Bosnia and Herzegovina
- Society for Research and Protection of Biodiversity, Mladena Stojanovica 2, 78 000, Banja Luka, Bosnia and Herzegovina
| | - Karel Šťastný
- Czech University of Life Sciences, Faculty of Environmental Sciences, Dept. of Ecology, Kamýcká 129, 165 21 Prague 6-Suchdol, Prague, Czech Republic
| | - Stoycho Stoychev
- Bulgarian Society for the Protection of Birds/BirdLife Bulgaria, Sofia 1111, Yavorov complex, bl. 71, en. 1, ap. 1, Sofia, Bulgaria
| | - Iurii Strus
- Nature reserve "Roztochya", Sichovyh Striltsiv 7, 81070, Ivano-Frankove, Ukraine
| | - Christoph Sudfeldt
- DDA-Federation of German Avifaunists, An den Speichern 2, D-48157, Münster, Germany
| | - Elchin Sultanov
- Azerbaijan Ornithological Society, M. Mushfiq 4B, ap.60, Baku, AZ1004, Azerbaijan Republic
| | - Tibor Szép
- MME BirdLife Hungary, 1121 Költő u. 21, Budapest, Hungary
- University of Nyíregyháza, 4400 Sóstói út 31/b, Nyíregyháza, Hungary
| | | | - Danka Uzunova
- Macedonian Ecological Society, Blvd. Boris Trajkovski Str. 7, 9a, Skopje, N, Macedonia
| | - Chris A M van Turnhout
- Sovon-Dutch Centre for Field Ornithology, Nijmegen, The Netherlands
- Radboud Institute for Biological and Environmental Sciences, Radboud University, Nijmegen, The Netherlands
| | - Metodija Velevski
- Macedonian Ecological Society, Blvd. Boris Trajkovski Str. 7, 9a, Skopje, N, Macedonia
| | - Thomas Vikstrøm
- Dansk Ornitologisk Forening (DOF-BirdLife DK), Copenhagen, Denmark
| | | | - Olga Voltzit
- Zoological Museum of Lomonosov Moscow State University, Bolshaya Nikitskaya Str., 2, Moscow, 125009, Russia
| | - Petr Voříšek
- Atlas Steering Committee, European Bird Census Council, Na Bělidle 34, CZ-150 00, Prague 5, Czech Republic
- Czech Society for Ornithology, Na Bělidle 34, 15000, Prague 5, Czechia
| | - Tomasz Wilk
- Polish Society for the Protection of Birds, Odrowąża 24, 05-270, Marki, Poland
| | - Damaris Zurell
- Institute for Biochemistry and Biology, University of Potsdam, Potsdam, Germany
| | - Lluís Brotons
- Ecological and Forestry Applications Research Centre (CREAF), 08193, Cerdanyola del Vallès, Spain
- Forest Science and Tecnology Centre (CTFC), Carretera vella de Sant Llorenç de Morunys km 2, 25280, Sant Llorenç de Morunys, Spain
- Atlas Steering Committee, European Bird Census Council, Na Bělidle 34, CZ-150 00, Prague 5, Czech Republic
- CSIC, Cerdanyola del Vallès, 08193, Spain
| | - Aleksi Lehikoinen
- The Helsinki Lab of Ornithology, Finnish Museum of Natural History, University of Helsinki, Helsinki, Finland
- Atlas Steering Committee, European Bird Census Council, Na Bělidle 34, CZ-150 00, Prague 5, Czech Republic
| | - Stephen G Willis
- Conservation Ecology Group, Department of Biosciences, Durham University, South Road, Durham, DH1 3LE, UK.
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7
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Singh AK, Srivastava SC. Environmental drivers inducing habitat expansion and shift of introduced alien trout in the Himalayan ecosystem and management concerns. J Nat Conserv 2023. [DOI: 10.1016/j.jnc.2023.126392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/29/2023]
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8
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Piirainen S, Lehikoinen A, Husby M, Kålås JA, Lindström Å, Ovaskainen O. Species distributions models may predict accurately future distributions but poorly how distributions change: A critical perspective on model validation. DIVERS DISTRIB 2023. [DOI: 10.1111/ddi.13687] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/07/2023] Open
Affiliation(s)
- Sirke Piirainen
- Zoological Unit, Finnish Museum of Natural History University of Helsinki Helsinki Finland
- Arctic Centre University of Lapland Rovaniemi Finland
| | - Aleksi Lehikoinen
- Zoological Unit, Finnish Museum of Natural History University of Helsinki Helsinki Finland
| | - Magne Husby
- Section of Science Nord University Levanger Norway
- BirdLife Norway Trondheim Norway
| | | | | | - Otso Ovaskainen
- Department of Biological and Environmental Science University of Jyväskylä Jyväskylä Finland
- Organismal and Evolutionary Biology Research Programme University of Helsinki Helsinki Finland
- Department of Biology, Centre for Biodiversity Dynamics Norwegian University of Science and Technology Trondheim Norway
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9
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He P, Li Y, Huo T, Meng F, Peng C, Bai M. Priority planting area planning for cash crops under heavy metal pollution and climate change: A case study of Ligusticum chuanxiong Hort. FRONTIERS IN PLANT SCIENCE 2023; 14:1080881. [PMID: 36818883 PMCID: PMC9928953 DOI: 10.3389/fpls.2023.1080881] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Accepted: 01/05/2023] [Indexed: 06/18/2023]
Abstract
INTRODUCTION Soil pollution by heavy metals and climate change pose substantial threats to the habitat suitability of cash crops. Discussing the suitability of cash crops in this context is necessary for the conservation and management of species. We developed a comprehensive evaluation system that is universally applicable to all plants stressed by heavy metal pollution. METHODS The MaxEnt model was used to simulate the spatial distribution of Ligusticum chuanxiong Hort within the study area (Sichuan, Shaanxi, and Chongqing) based on current and future climate conditions (RCP2.6, RCP4.5, RCP6.0, and RCP8.5 scenarios). We established the current Cd pollution status in the study area using kriging interpolation and kernel density. Additionally, the three scenarios were used in prediction models to simulate future Cd pollution conditions based on current Cd pollution data. The current and future priority planting areas for L. chuanxiong were determined by overlay analysis, and two levels of results were obtained. RESULTS The results revealed that the current first- and secondary-priority planting areas for L. chuanxiong were 2.06 ×103 km2 and 1.64 ×104 km2, respectively. Of these areas, the seven primary and twelve secondary counties for current L. chuanxiong cultivation should be given higher priority; these areas include Meishan, Qionglai, Pujiang, and other regions. Furthermore, all the priority zones based on the current and future scenarios were mainly concentrated on the Chengdu Plain, southeastern Sichuan and northern Chongqing. Future planning results indicated that Renshou, Pingwu, Meishan, Qionglai, Pengshan, and other regions are very important for L. chuanxiong planting, and a pessimistic scenario will negatively impact this potential planting. The spatial dynamics of priority areas in 2050 and 2070 clearly fluctuated under different prediction scenarios and were mainly distributed in northern Sichuan and western Chongqing. DISCUSSION Given these results, taking reasonable measures to replan and manage these areas is necessary. This study provides. not only a useful reference for the protection and cultivation of L. chuanxiong, but also a framework for analyzing other cash crops.
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Affiliation(s)
- Ping He
- Faculty of Geographical Science, Beijing Normal University, Beijing, China
| | - Yunfeng Li
- Faculty of Geographical Science, Beijing Normal University, Beijing, China
- Hebei Province Key Laboratory of Research and Development of Traditional Chinese Medicine, Chengde Medical University, Chengde, China
| | - Tongtong Huo
- Faculty of Geographical Science, Beijing Normal University, Beijing, China
| | - Fanyun Meng
- Faculty of Geographical Science, Beijing Normal University, Beijing, China
| | - Cheng Peng
- School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Ming Bai
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
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10
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Festa F, Ancillotto L, Santini L, Pacifici M, Rocha R, Toshkova N, Amorim F, Benítez-López A, Domer A, Hamidović D, Kramer-Schadt S, Mathews F, Radchuk V, Rebelo H, Ruczynski I, Solem E, Tsoar A, Russo D, Razgour O. Bat responses to climate change: a systematic review. Biol Rev Camb Philos Soc 2023; 98:19-33. [PMID: 36054527 PMCID: PMC10087939 DOI: 10.1111/brv.12893] [Citation(s) in RCA: 20] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 07/27/2022] [Accepted: 08/01/2022] [Indexed: 01/13/2023]
Abstract
Understanding how species respond to climate change is key to informing vulnerability assessments and designing effective conservation strategies, yet research efforts on wildlife responses to climate change fail to deliver a representative overview due to inherent biases. Bats are a species-rich, globally distributed group of organisms that are thought to be particularly sensitive to the effects of climate change because of their high surface-to-volume ratios and low reproductive rates. We systematically reviewed the literature on bat responses to climate change to provide an overview of the current state of knowledge, identify research gaps and biases and highlight future research needs. We found that studies are geographically biased towards Europe, North America and Australia, and temperate and Mediterranean biomes, thus missing a substantial proportion of bat diversity and thermal responses. Less than half of the published studies provide concrete evidence for bat responses to climate change. For over a third of studied bat species, response evidence is only based on predictive species distribution models. Consequently, the most frequently reported responses involve range shifts (57% of species) and changes in patterns of species diversity (26%). Bats showed a variety of responses, including both positive (e.g. range expansion and population increase) and negative responses (range contraction and population decrease), although responses to extreme events were always negative or neutral. Spatial responses varied in their outcome and across families, with almost all taxonomic groups featuring both range expansions and contractions, while demographic responses were strongly biased towards negative outcomes, particularly among Pteropodidae and Molossidae. The commonly used correlative modelling approaches can be applied to many species, but do not provide mechanistic insight into behavioural, physiological, phenological or genetic responses. There was a paucity of experimental studies (26%), and only a small proportion of the 396 bat species covered in the examined studies were studied using long-term and/or experimental approaches (11%), even though they are more informative about the effects of climate change. We emphasise the need for more empirical studies to unravel the multifaceted nature of bats' responses to climate change and the need for standardised study designs that will enable synthesis and meta-analysis of the literature. Finally, we stress the importance of overcoming geographic and taxonomic disparities through strengthening research capacity in the Global South to provide a more comprehensive view of terrestrial biodiversity responses to climate change.
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Affiliation(s)
- Francesca Festa
- Laboratory of Emerging Viral Zoonoses, Research and Innovation Department, Istituto Zooprofilattico Sperimentale delle Venezie, 35020, Legnaro, Italy
| | - Leonardo Ancillotto
- Wildlife Research Unit, Dipartimento di Agraria, Università degli Studi di Napoli Federico II, via Università, 100, 80055, Portici, Napoli, Italy
| | - Luca Santini
- Department of Biology and Biotechnologies "Charles Darwin", Sapienza University of Rome, Viale dell'Università, 32, Rome, 00185, Italy
| | - Michela Pacifici
- Department of Biology and Biotechnologies "Charles Darwin", Sapienza University of Rome, Viale dell'Università, 32, Rome, 00185, Italy
| | - Ricardo Rocha
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Universidade do Porto, 4485-661, Vairão, Portugal.,CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Instituto Superior de Agronomia, Universidade de Lisboa, 1349-017, Lisbon, Portugal.,BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, 4485-661, Vairão, Portugal
| | - Nia Toshkova
- Institute of Biodiversity and Ecosystem Research, Bulgarian Academy of Sciences, 1 Tsar Osvoboditel Blvd, 1000, Sofia, Bulgaria.,National Museum of Natural History at the Bulgarian Academy of Sciences, 1 Tsar Osvoboditel Blvd, 1000, Sofia, Bulgaria
| | - Francisco Amorim
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Universidade do Porto, 4485-661, Vairão, Portugal.,CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Instituto Superior de Agronomia, Universidade de Lisboa, 1349-017, Lisbon, Portugal.,BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, 4485-661, Vairão, Portugal
| | - Ana Benítez-López
- Integrative Ecology Group, Estación Biológica de Doñana, Consejo Superior de Investigaciones Científicas, Cartuja TA-10, Edificio I, C. Américo Vespucio, s/n, 41092, Sevilla, Spain.,Department of Zoology, Faculty of Sciences, University of Granada, Campus Universitario de Cartuja, Calle Prof. Vicente Callao, 3, 18011, Granada, Spain
| | - Adi Domer
- Department of Life Sciences, Ben-Gurion University of the Negev, P.O. Box 653, Beer-Sheva, 8410501, Israel
| | - Daniela Hamidović
- Ministry of Economy and Sustainable Development, Institute for Environment and Nature, Radnička cesta 80, HR-10000, Zagreb, Croatia.,Croatian Biospelological Society, Rooseveltov trg 6, HR-10000, Zagreb, Croatia
| | - Stephanie Kramer-Schadt
- Department of Ecological Dynamics, Leibniz Institute for Zoo and Wildlife Research, Alfred-Kowalke-Straße 17, 10315, Berlin, Germany.,Institute of Ecology, Technische Universität Berlin, Rothenburgstr. 12, 12165, Berlin, Germany
| | - Fiona Mathews
- University of Sussex, John Maynard Smith Building, Falmer, Brighton, BN1 9RH, UK
| | - Viktoriia Radchuk
- Department of Ecological Dynamics, Leibniz Institute for Zoo and Wildlife Research, Alfred-Kowalke-Straße 17, 10315, Berlin, Germany
| | - Hugo Rebelo
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Universidade do Porto, 4485-661, Vairão, Portugal.,CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Instituto Superior de Agronomia, Universidade de Lisboa, 1349-017, Lisbon, Portugal.,BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, 4485-661, Vairão, Portugal
| | - Ireneusz Ruczynski
- Mammal Research Institute Polish Academy of Sciences, Stoczek 1, 17-230, Białowieża, Poland
| | - Estelle Solem
- Department of Ecological Dynamics, Leibniz Institute for Zoo and Wildlife Research, Alfred-Kowalke-Straße 17, 10315, Berlin, Germany
| | - Asaf Tsoar
- Israel Nature and Parks Authority, Southern District Omer Industrial Park, P.O. Box 302, Omer, Israel
| | - Danilo Russo
- Wildlife Research Unit, Dipartimento di Agraria, Università degli Studi di Napoli Federico II, via Università, 100, 80055, Portici, Napoli, Italy
| | - Orly Razgour
- Biosciences, University of Exeter, Streatham Campus, Hatherly Laboratories, Prince of Wales Road, Exeter, EX4 4PS, UK
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11
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Buffalo on the Edge: Factors Affecting Historical Distribution and Restoration of Bison bison in the Western Cordillera, North America. DIVERSITY 2022. [DOI: 10.3390/d14110937] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
The historic western edge of the bison (Bison bison) range and the ecological processes that caused its formation are frequently debated with important implications for bison restoration across North America. We test the hypothesis that a combination of bottom-up habitat suitability and top-down harvest pressure from Indigenous peoples were important processes in forming the western edge of bison distribution. Using 9384 historical journal observations from 1691–1928, we employ MaxEnt ecological niche modelling to identify suitable bison habitat across the Western Cordillera from bottom-up climatic, land cover, and topographic factors. We then use mixed-effect logistic regression to test if bison occurrence in journal records can be in part explained by the abundance of humans, wolves, or grizzly bears, in addition to MaxEnt-derived habitat suitability. We find support for our hypothesis because of the limited suitable habitat in the Rocky Mountains that likely prevented westward bison dispersal from their core habitat, and there was a negative relationship between bison occurrence and human harvest pressure. On this basis, we propose that intensive human harvest from large populations in the Western Cordillera, subsidized by other wildlife, salmon, and vegetation resources, is an underappreciated socioecological process that needs to be restored alongside bison populations. Co-managing bison with Indigenous peoples will also mitigate the adverse effects of overabundant bison populations and maximize the ecological and cultural benefits of bison restoration.
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12
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Zhang L, Li Q, Kou X, Ouyang Z. Distributions of two native ungulates at the third pole are highly sensitive to global warming. Glob Ecol Conserv 2022. [DOI: 10.1016/j.gecco.2022.e02292] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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13
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Yang S, Wang H, Tong J, Bai Y, Alatalo JM, Liu G, Fang Z, Zhang F. Impacts of environment and human activity on grid-scale land cropping suitability and optimization of planting structure, measured based on the MaxEnt model. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 836:155356. [PMID: 35460781 DOI: 10.1016/j.scitotenv.2022.155356] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2021] [Revised: 04/13/2022] [Accepted: 04/14/2022] [Indexed: 06/14/2023]
Abstract
Making full use of agricultural resource endowment, determining the planting suitability of areas for different crops according to the environment and human activities, and optimizing planting structure are important ways to ensure stable increases in crop yield and improve food production capacity. Taking Songhua River Basin (SRB) as an example, this study used geographic distribution information on different crops and the Maximum Entropy (MaxEnt) model to determine the degree of suitability of land in SRB for cropping, and to optimize the layout of crop planting structure. The results showed that the main factors affecting land suitability for different crops, with a combined contribution >80%, were population density, Distance from road to cultivated land, normalized difference vegetation index, and total phosphorus. Under the joint influence of the environment and human activity, the total unsuitable area of the four crops became much more extensive, with the unsuitable area of soybean being the largest (173 thousand km2) and the smallest for wheat (128 thousand km2). The highly suitable area was largest for wheat (2 thousand km2), while the other three crops were less than 2 thousand km2. Suitable distribution areas for all four crops were mainly located in the center of the basin (Songnen Plain) and in a wedge in the northeast corner (Sanjiang Plain). The relationships between different crops and environment and human activities revealed that crop suitability distribution is mainly determined by human activities, rather than the environment. These results provide a scientific basis for optimizing crop layout and improving the planting system, ensuring the security of food production.
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Affiliation(s)
- Shiliang Yang
- State Key Laboratory of Hydrology Water Resource and Hydraulic Engineering, Hohai University, Nanjing 210098, China; Center for Integrative Conservation, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Menglun 666303, China; Institute of Management Science, Hohai University, Nanjing, China
| | - Huimin Wang
- State Key Laboratory of Hydrology Water Resource and Hydraulic Engineering, Hohai University, Nanjing 210098, China; Institute of Management Science, Hohai University, Nanjing, China; College of Management and Economy, Tianjin University, Tianjin 300072, China
| | - Jinping Tong
- School of Business, Changzhou University, Changzhou 213164, China.
| | - Yang Bai
- Center for Integrative Conservation, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Menglun 666303, China.
| | - Juha M Alatalo
- Department of Biological and Environmental Sciences, College of Arts and Sciences, Qatar University, P.O. Box: 2713, Doha, Qatar; Environmental Science Center, Qatar University, P.O. Box: 2713, Doha, Qatar
| | - Gang Liu
- College of Management and Economy, Tianjin University, Tianjin 300072, China
| | - Zhou Fang
- State Key Laboratory of Hydrology Water Resource and Hydraulic Engineering, Hohai University, Nanjing 210098, China; Center for Integrative Conservation, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Menglun 666303, China; Institute of Management Science, Hohai University, Nanjing, China
| | - Fan Zhang
- State Key Laboratory of Hydrology Water Resource and Hydraulic Engineering, Hohai University, Nanjing 210098, China; Institute of Management Science, Hohai University, Nanjing, China
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14
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Xian X, Zhao H, Wang R, Qiao H, Guo J, Zhang G, Liu W, Wan F. Ecological Niche Shifts Affect the Potential Invasive Risk of Rapistrum rugosum (L.) All. in China. FRONTIERS IN PLANT SCIENCE 2022; 13:827497. [PMID: 35498683 PMCID: PMC9051486 DOI: 10.3389/fpls.2022.827497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Accepted: 03/17/2022] [Indexed: 06/14/2023]
Abstract
Ecological niche is a key concept that links species distributions. Ecological niche shifts are expected to affect the potential invasive risk of alien species. Rapistrum rugosum is an invasive agricultural weed in many countries. Wild populations of R. rugosum have been recorded in China, representing a great threat to the regional crops. Based on distribution records from different regions and relevant environmental variables, the present study predicted the potential distribution and estimated the invasive risk of R. rugosum in China. Ecological niche shifts strongly affected the potential invasive risk of R. rugosum in China. The two most important variables were annual temperature range (Bio7) and mean temperature of the coldest quarter (Bio11). The total suitable habitat for the species covered an area of 287.53 × 104km2 and was mainly distributed in Southwest, Southeast, and Central China. Australia, Canada, Brazil, the United States, and Argentina accounted for over 90% of the inspection records of R. rugosum from Chinese entry ports during 2015-2018. The intercepted R. rugosum was frequently mixed in Glycine max (L.) Merr., Hordeum vulgare L., linseed, Triticum aestivum L., and Sorghum bicolor (L.) Moench. Moreover, 80% interceptions were recorded from Tianjin, Guangdong, Nanjing, and Chengdu customs. Climatic conditions do not limit the establishment capability of R. rugosum in China. Our results provide a theoretical reference for the development of monitoring and control measures for this invasive weed.
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Affiliation(s)
- Xiaoqing Xian
- State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Haoxiang Zhao
- State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Rui Wang
- State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Huijie Qiao
- Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Jianyang Guo
- State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Guifen Zhang
- State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Wanxue Liu
- State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Fanghao Wan
- State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, China
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15
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Virkkala R, Leikola N, Kujala H, Kivinen S, Hurskainen P, Kuusela S, Valkama J, Heikkinen RK. Developing fine-grained nationwide predictions of valuable forests using biodiversity indicator bird species. ECOLOGICAL APPLICATIONS : A PUBLICATION OF THE ECOLOGICAL SOCIETY OF AMERICA 2022; 32:e2505. [PMID: 34866270 PMCID: PMC9285730 DOI: 10.1002/eap.2505] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Revised: 03/18/2021] [Accepted: 05/20/2021] [Indexed: 06/13/2023]
Abstract
The use of indicator species in forest conservation and management planning can facilitate enhanced preservation of biodiversity from the negative effects of forestry and other uses of land. However, this requires detailed and spatially comprehensive knowledge of the habitat preferences and distributions of selected focal indicator species. Unfortunately, due to limited resources for field surveys, only a small proportion of the occurrences of focal species is usually known. This shortcoming can be circumvented by using modeling techniques to predict the spatial distribution of suitable sites for the target species. Airborne laser scanning (ALS) and other remote sensing (RS) techniques have the potential to provide useful environmental data covering systematically large areas for these purposes. Here, we focused on six bird of prey and woodpecker species known to be good indicators of boreal forest biodiversity values. We used known nest sites of the six indicator species based on nestling ringing records. Thus, the most suitable nesting sites of these species provide important information for biodiversity-friendly forest management and conservation planning. We developed fine-grained, that is, 96 × 96 m grid cell resolution, predictive maps across the whole of Finland of the suitable nesting habitats based on ALS and other RS data and spatial information on the distribution of important forest stands for the six studied biodiversity indicator bird species based on nesting-habitat suitability modeling, that is, the MaxEnt model. Habitat preferences of the study species, as determined by MaxEnt, were in line with the previous knowledge of species-habitat relations. The proportion of suitable habitats of these species in protected areas (PAs) was considerable, but our analysis also revealed many potentially high-quality forest stands outside PAs. However, many of these sites are increasingly threatened by logging because of increased pressures for using forests for bioeconomy and forest industry based on National Forest Strategy. Predicting habitat suitability based on information on the nest sites of indicator species provides a new tool for systematic conservation planning over large areas in boreal forests in Europe, and a corresponding approach would also be feasible and recommendable elsewhere where similar data are available.
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Affiliation(s)
- Raimo Virkkala
- Finnish Environment Institute, Biodiversity CentreHelsinkiFinland
| | - Niko Leikola
- Finnish Environment Institute, Biodiversity CentreHelsinkiFinland
| | - Heini Kujala
- Finnish Museum of Natural HistoryUniversity of HelsinkiHelsinkiFinland
| | - Sonja Kivinen
- Finnish Environment Institute, Biodiversity CentreHelsinkiFinland
- Department of Geographical and Historical StudiesUniversity of Eastern FinlandJoensuuFinland
| | - Pekka Hurskainen
- Finnish Environment Institute, Biodiversity CentreHelsinkiFinland
| | - Saija Kuusela
- Finnish Environment Institute, Biodiversity CentreHelsinkiFinland
| | - Jari Valkama
- Finnish Museum of Natural HistoryUniversity of HelsinkiHelsinkiFinland
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Climate Change Increases the Expansion Risk of Helicoverpa zea in China According to Potential Geographical Distribution Estimation. INSECTS 2022; 13:insects13010079. [PMID: 35055922 PMCID: PMC8781938 DOI: 10.3390/insects13010079] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Revised: 01/07/2022] [Accepted: 01/08/2022] [Indexed: 02/04/2023]
Abstract
Simple Summary Helicoverpa zea is one of the most destructive lepidopteran agricultural pests in the world and can disperse long distances both with and without human transportation. It is listed in the catalog of quarantine pests for plants imported to the People’s Republic of China but has not yet been reported in China. On the basis of 1781 global distribution records of H. zea and eight bioclimatic variables, we predicted the potential geographical distributions (PGDs) of H. zea by using a calibrated MaxEnt model. The results showed that the PGDs of H. zea under the current climate are large in China. Future climate changes under shared socioeconomic pathways (SSP) 1-2.6, SSP2-4.5, and SSP5-8.5 for both the 2030s and 2050s will facilitate the expansion of PGDs for H. zea. Helicoverpa zea has a high capacity for colonization by introduced individuals in China. Customs ports should pay attention to the host plants of H. zea and containers harboring this pest. Abstract Helicoverpa zea, a well-documented and endemic pest throughout most of the Americas, affecting more than 100 species of host plants. It is a quarantine pest according to the Asia and Pacific Plant Protection Commission (APPPC) and the catalog of quarantine pests for plants imported to the People’s Republic of China. Based on 1781 global distribution records of H. zea and eight bioclimatic variables, the potential geographical distributions (PGDs) of H. zea were predicted by using a calibrated MaxEnt model. The contribution rate of bioclimatic variables and the jackknife method were integrated to assess the significant variables governing the PGDs. The response curves of bioclimatic variables were quantitatively determined to predict the PGDs of H. zea under climate change. The results showed that: (1) four out of the eight variables contributed the most to the model performance, namely, mean diurnal range (bio2), precipitation seasonality (bio15), precipitation of the driest quarter (bio17) and precipitation of the warmest quarter (bio18); (2) PGDs of H. zea under the current climate covered 418.15 × 104 km2, and were large in China; and (3) future climate change will facilitate the expansion of PGDs for H. zea under shared socioeconomic pathways (SSP) 1-2.6, SSP2-4.5, and SSP5-8.5 in both the 2030s and 2050s. The conversion of unsuitable to low suitability habitat and moderately to high suitability habitat increased by 8.43% and 2.35%, respectively. From the present day to the 2030s, under SSP1-2.6, SSP2-4.5 and SSP5-8.5, the centroid of the suitable habitats of H. zea showed a general tendency to move eastward; from 2030s to the 2050s, under SSP1-2.6 and SSP5-8.5, it moved southward, and it moved slightly northward under SSP2-4.5. According to bioclimatic conditions, H. zea has a high capacity for colonization by introduced individuals in China. Customs ports should pay attention to host plants and containers of H. zea and should exchange information to strengthen plant quarantine and pest monitoring, thus enhancing target management.
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Su X, Shen Y, Zhou W, Liu Y, Cheng H, Yang M, Zhou S, Zhao J, Wan L, Liu G. Land‐use changes conservation network of an endangered primate (
Rhinopithecus bieti
) in the past 30 years in China. DIVERS DISTRIB 2021. [DOI: 10.1111/ddi.13446] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Affiliation(s)
- Xukun Su
- State Key Laboratory of Urban and Regional Ecology Research Center for Eco‐environmental Sciences Chinese Academy of Sciences Beijing China
- College of Resources and Environment University of Chinese Academy of Sciences Beijing China
| | - Yu Shen
- State Key Laboratory of Urban and Regional Ecology Research Center for Eco‐environmental Sciences Chinese Academy of Sciences Beijing China
- College of Resources and Environment University of Chinese Academy of Sciences Beijing China
| | - Wei Zhou
- Institute of International Rivers and Eco‐security Yunnan University Kunming China
| | - Yuqing Liu
- State Key Laboratory of Urban and Regional Ecology Research Center for Eco‐environmental Sciences Chinese Academy of Sciences Beijing China
- College of Resources and Environment University of Chinese Academy of Sciences Beijing China
| | - Hao Cheng
- State Key Laboratory of Urban and Regional Ecology Research Center for Eco‐environmental Sciences Chinese Academy of Sciences Beijing China
- College of Resources and Environment University of Chinese Academy of Sciences Beijing China
| | - Murong Yang
- Institute of International Rivers and Eco‐security Yunnan University Kunming China
| | - Su Zhou
- Institute of International Rivers and Eco‐security Yunnan University Kunming China
| | - Junyan Zhao
- Institute of International Rivers and Eco‐security Yunnan University Kunming China
| | - Lingfan Wan
- State Key Laboratory of Urban and Regional Ecology Research Center for Eco‐environmental Sciences Chinese Academy of Sciences Beijing China
- College of Resources and Environment University of Chinese Academy of Sciences Beijing China
| | - Guohua Liu
- State Key Laboratory of Urban and Regional Ecology Research Center for Eco‐environmental Sciences Chinese Academy of Sciences Beijing China
- College of Resources and Environment University of Chinese Academy of Sciences Beijing China
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Tekin S, Guner ED, Cilek A, Unal Cilek M. Selection of renewable energy systems sites using the MaxEnt model in the Eastern Mediterranean region in Turkey. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:51405-51424. [PMID: 33983608 DOI: 10.1007/s11356-021-13760-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Accepted: 03/29/2021] [Indexed: 06/12/2023]
Abstract
Global warming has become the center of worldwide environmental concerns, especially in recent years. One of the ways to deal with global warming that causes climate change is to adopt the renewable energy power technique. Different renewable energy sources such as solar, wind, hydro, ocean, geothermal, and bioenergy are currently the backbone of green and sustainable economic growth. However, renewable energy sites are directly or indirectly dependent on environmental, social, and technical criteria.The main objective of this paper is to identify potential best renewable energy site alternatives using the maximum entropy model (MaxEnt) and Geographical Information systems (GIS). Thus, the framework formed by the findings will guide investors in the renewable energy sector. The results showed that suitable areas for solar and wind were mainly located in the Hatay and Mersin of the Eastern Mediterranean Region in Turkey. The energy suitability site maps indicate that 8% (3.42 km2) and 3.39% (1554 km2) of the total study area have suitability and very suitability for solar and wind energy respectively. Moreover, it is seen that 44.82% (20,689km2) of the regions are the same when suitable and very suitable regions are overlaid for the installation of solar and wind energy sites. The receiver operating characteristic (ROC) curve was used to evaluate model performance. The area under the curve (AUC) values are calculated 0.87 and 0.95 for solar and wind energy, respectively. Relying on realistic data, this paper proposes an innovative method to identify suitable areas for solar and wind power plants. The maps obtained to contribute to renewable energy production will be useful for creating future strategies in the Mediterranean region.
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Affiliation(s)
- Senem Tekin
- Mining and Mineral Extraction Department, School of Technical Sciences, Adıyaman University, 02040, Adıyaman, Turkey.
| | - Esra Deniz Guner
- Department of Environmental Engineering, Çukurova University, 01330, Adana, Turkey
| | - Ahmet Cilek
- Department of Landscape Architecture, Çukurova University, 01330, Adana, Turkey
| | - Müge Unal Cilek
- Department of Landscape Architecture, Çukurova University, 01330, Adana, Turkey
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Predicting Suitable Environments and Potential Occurrences for Cinnamomum camphora (Linn.) Presl. FORESTS 2021. [DOI: 10.3390/f12081126] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Global climate change has created a major threat to biodiversity. However, little is known about the habitat and distribution characteristics of Cinnamomum camphora (Linn.) Presl., an evergreen tree growing in tropical and subtropical Asia, as well as the factors influencing its distribution. The present study employed Maxent and a GARP to establish a potential distribution model for the target species based on 182 known occurrence sites and 17 environmental variables. The results indicate that Maxent performed better than GARP. The mean diurnal temperature range, annual precipitation, mean air temperature of driest quarter and sunshine duration in growing season were important environmental factors influencing the distribution of C. camphora and contributed 40.9%, 23.0%, 10.5%, and 7.2% to the variation in the model contribution, respectively. Based on the models, the subtropical and temperate regions of Eastern China, where the species has been recorded, had a high suitability for this species. Under each climate change scenario, the potential geographical distribution shifted farther north and toward a higher elevation. The predicted spatial and temporal distribution patterns of this species can provide guidance for the development strategies for forest management and species protection.
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