تعداد نشریات | 31 |
تعداد شمارهها | 748 |
تعداد مقالات | 7,122 |
تعداد مشاهده مقاله | 10,274,827 |
تعداد دریافت فایل اصل مقاله | 6,910,410 |
Predicting the impact of climate change on the spatial distribution of Euphrates spiny eel Mastacembelus mastacembelus (Banks & Solander, 1794) in Iran | ||
Caspian Journal of Environmental Sciences | ||
مقالات آماده انتشار، اصلاح شده برای چاپ، انتشار آنلاین از تاریخ 04 اسفند 1402 اصل مقاله (1.12 M) | ||
نوع مقاله: Research Paper | ||
شناسه دیجیتال (DOI): 10.22124/cjes.2024.7598 | ||
نویسندگان | ||
Mahmood Rezaei1؛ Abdolrahim Pazira* 1؛ Hossein Mostafavi* 2؛ Azad Teimori3؛ Fazel Amiri1 | ||
1Department of Environment, Bushehr Branch, Islamic Azad University, Bushehr, Iran | ||
2Department of Bio-diversity and Ecosystem Management, Environmental Sciences Research Institute, Shahid Beheshti University, Tehran, Iran | ||
3Department of Biology, Faculty of Sciences, Shahid Bahonar University of Kerman, Kerman, Iran | ||
چکیده | ||
The phenomenon of climate change is occurring more rapidly in the global climate due to the role of human factors than in other periods of climate change, and this feature causes the existing ecosystems and species to not have enough time to adapt to this environmental change. The impacts of climate change on the spatial distribution of spiny eel Mastacembelus mastacembelus in Iran were investigated using the MaxEnt modeling technique in R software environment under optimistic and pessimistic climate change scenarios of the 2050s and 2080s. Six environmental variables, including annual precipitation, slope, flow accumulation, temperature annual range, annual mean temperature, and upstream drainage area were used. The performance of the model in predicting the species was "good" based on the AUC (area under the curve) criterion. This spatial distribution of species will decrease under optimistic and pessimistic scenarios in 2050 and 2080. These results can be used by the manager in order to plan conservational strategies to protect this species in the future in front of climate change impacts. | ||
کلیدواژهها | ||
Spices distribution modeling (SDM)؛ MaxEnt model؛ Fish diversity؛ Conservation | ||
مراجع | ||
Abdelaal, KA, EL-Maghraby, LM, Elansary, H, Hafez, YM, Ibrahim, EI, El-Banna, M, Elkelish, A 2019, Treatment of sweet pepper with stress tolerance-inducing compounds alleviates salinity stress oxidative damage by mediating the physio-biochemical activities and antioxidant systems. Agronomy, 10: 26.
Abdoli, A, Naderi Jolodar, M 2009, Biodiversity of Fishes of the Southern Basin of the Caspian Sea. Abzian Scientific Publications, Tehran
Arthington, AH, Dulvy, NK, Gladstone, W, Winfield, IJ 2016, Fish conservation in freshwater and marine realms: status, threats and management. Aquatic Conservation: Marine and Freshwater Ecosystems, 26: 838-857.
Acevedo, BP, Jagiellowicz, J, Aron, E, Marhenke, R, Aron, A 2017, Sensory processing sensitivity and childhood quality’s effects on neural responses to emotional stimuli. Clinical Neuropsychiatry: Journal of Treatment Evaluation, 14: 359-373.
Ayada, AD, Majeed, SS & Ati, AS 2024, Impact of future climate change on land and water productivity for wheat crop (Wasit Governorate, Iraq). Caspian Journal of Environmental Sciences, 22: 31-41.
Berteaux, D, Réale, D, McAdam, AG, Boutin, S 2004, keeping pace with fast climate change: can arctic life count on evolution? Integrative and Comparative Biology, 44: 140-151.
Bosso, L, Rebelo, H, Garonna, AP, Russo, D 2013, Modelling geographic distribution and detecting conservation gaps in Italy for the threatened beetle Rosalia alpina. Journal for Nature Conservation, 21: 72-80.
Butt, N, Possingham, HP, De Los Rios, C, Maggini, R, Fuller, RA, Maxwell, SL, Watson, JEM 2016, Challenges in assessing the vulnerability of species to climate change to inform conservation actions. Biological Conservation, 199: 10-15.
Buisson, L, Thuiller, W, Lek, S, Lim, P, Grenouillet, G 2008, Climate change hastens the turnover of stream fish assemblages. Global Change Biology, 14: 2232-2248.
Coad, A 2018, Firm age: A survey. Journal of Evolutionary Economics, 28: 13-43.
Coates, D, Grekin, J 2018, Freshwater Biodiversity: Dive into the life found in freshwater ecosystems. CBD, Youth and United Nation Global Alliance, pp. 85-101.
Ebrahimi, F, Dabbagh, A 2018, Effect of humid-thermal environment on wave dispersion characteristics of single-layered graphene sheets. Applied Physics A, 124: 1-11.
Elith, J, & Leathwick, JR 2009, Species distribution models: ecological explanation and prediction across space and time. Annual Review of Ecology, Evolution, and Systematics, 40: 677-697.
Elith, JH, Graham, CP, Anderson, R, Dudík, M, Ferrier, S, Guisan, AE & Zimmermann, N 2006, Novel methods improve prediction of species’ distributions from occurrence data. Ecography, 29: 129-151.
Elith, J, Phillips, SJ, Hastie, T, Dudík, M, Chee, YE, & Yates, CJ 2011, A statistical explanation of MaxEnt for ecologists. Diversity and Distributions, 17: 43-57.
Fois, M, Cuena-Lombraña, A, Fenu, G, & Bacchetta, G 2018, Using species distribution models at local scale to guide the search of poorly known species: Review, methodological issues and future directions. Ecological Modelling, 385: 124-132.
Filipe, AF, Lawrence, JE, Bonada, N 2013, Vulnerability of stream biota to climate change in Mediterranean climate regions: a synthesis of ecological responses and conservation challenges. Hydrobiologia, 719: 331–351.
Hajiradkouchak, E, Patimar, R, Harsij, M, Ghorbani, R 2019, Age, growth and reproduction of the Prussian carp
Carassius gibelio (Bloch 1782) in 4 waterbodies of Golestan province- Southeast Caspian Sea. Caspian Journal
of Environmental Sciences, 17: 337351
Heino, J, Virkkala, R, & Toivonen, H 2009, Climate change and freshwater biodiversity: detected patterns, future trends and adaptations in northern regions. Biological Reviews, 84: 39-54.
Herlihy, AT, Paulsen, SG, Kentula, ME, et al. 2019, Assessing the relative and attributable risk of stressors to wetland condition across the conterminous United States. Environmental Monitoring and Assessment, 191: 320.
Hijmans, RJ, Phillips, S, Leathwick, J, Elith, J, & Hijmans, MRJ 2017, Package ‘dismo’. Circles, 9: 1-68.
Hirzel, AH, Helfer, V, & Metral, F 2001, Assessing habitat-suitability models with a virtual species. Ecological Modelling, 145: 111-121.
Hodgson, JA, Thomas, CD, Wintle, BA, & Moilanen, A 2009, Climate change, connectivity and conservation decision making: back to basics. Journal of Applied Ecology, 46: 964-969.
Jaafer Abdullah, AH, Gani Abdullah, SA & Yaseen, AT 2022, Composition of fish assemblages in the southern part of the Main Outfall Drains, Southern Iraq. Caspian Journal of Environmental Sciences, 20: 919-928.
Jing-Yi, L, Hong, L, Dong, Y, & Yan-Sheng, Z 2016, A new wavelet threshold function and denoising application. Mathematical Problems in Engineering, 3: 1-8.
LeRoy Poff, N, Brinson, MM, & Day, JW 2002, Aquatic ecosystems & Global climate change. Pew Center on Global Climate Change. 56 p.
Levin, SA, & Lubchenco, J 2008, Resilience, robustness, and marine ecosystem-based management. Bioscience, 58: 27-32.
Liu, Y, Zhou, K, & Xia, Q 2018, A MaxEnt model for mineral prospectivity mapping. Natural Resources Research, 27: 299-313.
Lobo, JM, Jiménez‐Valverde, A, & Real, R 2008, AUC: a misleading measure of the performance of predictive distribution models. Global Ecology and Biogeography, 17: 145-151.
Mann, RHK 1996, Environmental requirements of European non-salmonid fish in rivers. Hydrobiologia, 323: 223-235.
Mcclure, MM, Alexander, M, Borggaard, D, Boughton, D, Crozier, L, Griffis, & Van Houtan, K 2013, Incorporating climate science in applications of the US Endangered Species Act for aquatic species. Conservation Biology, 27: 1222-1233.
Mostafavi, H, Pletterbauer, F, Coad, BW, Mahini, AS, Schinegger, R, Unfer, G, & Schmutz, S 2014, Predicting presence and absence of trout (Salmo trutta) in Iran. Limnologica, 46: 1-8.
Mostafavi, H, Schinegger, R, Melcher, A, Moder, K, Mielach, C, Schmutz, S 2015, A new fish-based multi-metric assessment index for cyprinid streams in the Iranian Caspian Sea Basin. Limnologica, 51: 37-52.
Mostafavi, H, Rashidian Doliskani M, Valavi, R 2018, Modelling the effects of climate change on the distribution of Kura bleak (Alburnus filippii Kessler, 1877) on the Iranian scale. Journal of Applied Ichthyological Research, 6: 1-12.
Mostafavi, H, Teimori, A, Schinegger, R, & Schmutz, S 2019, A new fish based multi-metric assessment index for cold-water streams of the southern Caspian Sea Basin in Iran. Environmental Biology of Fishes, 102: 645-662.
Mostafavi, H, Kambouzia, J 2019, Impact of climate change on the distribution of brown trout, Salmo trutta Linnaeus, 1758 (Teleostei: Salmonidae) using ensemble modelling approach in Iran. Iranian Journal of Ichthyology, 6: 73-81.
Phillips, SJ, Anderson, RP, & Schapire, RE 2006, Maximum entropy modeling of species geographic distributions. Ecological Modelling, 190: 231-259.
Phillips, SJ, Dudík, M, Elith, J, Graham, CH, Lehmann, A, Leathwick, J, & Ferrier, S 2009, Sample selection bias and presence‐only distribution models: implications for background and pseudo‐absence data. Ecological Applications, 19: 181-197.
Ricciardi, A, & Rasmussen, JB 1999, Extinction rates of North American freshwater fauna. Conservation Biology, 13: 1220-1222.
Reid, GK, Robinson, SMC, Chopin, T, MacDonald, BA 2013, Dietary proportion of fish culture solids required by shellfish to reduce the net organic load in open-water integrated multi-trophic aquaculture: a scoping exercise with cocultured Atlantic Salmon (Salmo salar) and Blue Mussel (Mytilus edulis). Journal of Shellfish Research, 32: 509-517.
Rostami, F, Attarod, P, Keshtkar, H & Nazeri Tahroudi, M 2022, Impact of climatic parameters on the extent of mangrove forests of southern Iran. Caspian Journal of Environmental Sciences, 20: 671-682.
Sala, OE, Stuart Chapin, FIII, Armesto, JJ, Berlow, E, Bloomfield, J, Dirzo, R, & Wall, DH 2000, Global biodiversity scenarios for the year 2100. Science, 287: 1770-1774.
Sorensen, J 1993, The international proliferation of integrated coastal zone management efforts. Ocean & Coastal Management, 21: 45-80.
Valavi, H, Ramadge, PJ, Nestler, E, & Verma, N 2019, A 64-tile 2.4-Mb in-memory-computing CNN accelerator employing charge-domain compute. IEEE Journal of Solid-State Circuits, 54: 1789-1799.
Vasconcelos, M, Hollis, K, Nowbahari, E, & Kacelnik, A 2012, Pro-sociality without empathy. Biology Letters, 8: 910-912.
Warren, R, Price, J, Graham, E, Forstenhaeusler, N, VanDerWal, J 2018, The projected effect on insects, vertebrates, and plants of limiting global warming to 1.5 °C rather than 2 °C. Science, 360: 791-795.
Yousefi, N, Lu, X, Elimelech, M, & Tufenkji, N 2019, Environmental performance of graphene-based 3D macrostructures. Nature Nanotechnology, 14: 107-119.
Thiriot, A 1978, Zooplankton communities in the West African upwelling area. In: R, Boje & M, Tomzak (Eds.), Upwelling Ecosystems, Springer, Berlin, pp. 32-61. | ||
آمار تعداد مشاهده مقاله: 95 تعداد دریافت فایل اصل مقاله: 157 |