Biologik xilma-xillik markazlarini tadqiq etishda sun’iy intellekt va geomakon texnologiyalari: Scopus ma’lumotlar bazasiga asoslangan bibliometrik tahlil va O‘zbekiston uchun tavsiyalar
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sun’iy intellekt##common.commaListSeparator## masofadan zondlash##common.commaListSeparator## geografik axborot tizimlar##common.commaListSeparator## biologik xilma-xillikning «qaynoq nuqtalari»##common.commaListSeparator## turlarning tarqalishini modellashtirish##common.commaListSeparator## O‘zbekistonAbstrak
Sun’iy intellekt (SI), mashinali o‘qitish va geofazoviy texnologiyalarning uyg‘unlashuvi ekolo-glarning xavf ostidagi landshaftlarda biologik xilma-xillikni aniqlash, xaritalash va monitoring qilish usullarini tubdan o‘zgartirdi. Mazkur sharh Scopus ma’lumotlar bazasidan (2013–2025-yillar) olingan, biologik xilma-xillikning «qaynoq nuqtalari»ni tadqiq etishda sun’iy intellekt, GIS va masofadan zondlashga asoslangan usullarni qo‘llagan 82 ta taqrizdan o‘tgan ilmiy maqolani umumlashtiradi. PRISMA metodologiyasiga moslashtirilgan tartib asosida dastlabki 800 ta manbadan 82 tasi tegishli hujjat sifatida saralandi va ularning barchasi to‘liq tahlil qilindi. Yillik ilmiy nashrlar soni 2018-yildan keyin keskin oshgan bo‘lib, hujjatlarning asosiy qismi 2023–2025-yillarda chop etilgan. Random Forest algoritmi eng ko‘p qo‘llanilgan usul bo‘lib, 82 ta hujjatning 34 tasida ishlatilgan. Undan keyingi o‘rinlarda turlarning tarqalishini model-lashtirish (20 ta), Sentinel-1/2 tasvirlari (18 ta) va chuqur o‘qitish (15 ta) turadi. Ilmiy adabiyot-larda asosiy yo‘nalishlar mashinali o‘qitish asosidagi klassifikatsiya, chuqur o‘qitish yordamida kuzatuv ma’lumotlarini talqin qilish, UAV/giperspektral/LiDAR platformalari, sun’iy yo‘ldosh monitoringi, eDNA va fuqarolik fanini integratsiyalash hamda invaziv turlarni aniqlashdan ibo-rat. Eng ko‘p iqtibos keltirilgan tadqiqotlarni nashr etgan mamlakatlar AQSh, Hindiston va Braziliya bo‘lgan; Remote Sensing, Ecological Informatics va Ecological Indicators jurnallari yetakchi nashrlar sifatida qayd etilgan. Hech bir tadqiqot O‘zbekiston yoki Markaziy Osiyoga bag‘ishlanmagan bo‘lib, bu aniq geografik bo‘shliq mavjudligini ko‘rsatadi. Shu bilan birga, boshqa hududlardagi qurg‘oqchil, dasht va o‘tloq ekotizimlarida olingan hamda Markaziy Osiyo sharoitiga moslashtirilishi mumkin bo‘lgan ilmiy dalillar aniqlandi. Sun’iy intellekt yordamidagi geofazoviy monitoring amaliy qo‘llash uchun metodologik jihatdan yetarlicha rivojlangan, biroq uni ma’lumotlar tanqis bo‘lgan Markaziy Osiyo sharoitiga joriy etish maxsus empirik validatsi-ya, mutaxassislar salohiyatini oshirish va ochiq ma’lumotlar infratuzilmasini rivojlantirishni talab etadi
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