Application of Habitat Suitability Models for Assessing Climate Change Effects on Fish Distribution
نویسندگان
چکیده
منابع مشابه
Uncertainty in Various Habitat Suitability Models and Its Impact on Habitat Suitability Estimates for Fish
Species distribution models (SDMs) are extensively used to project habitat suitability of species in stream ecological studies. Owing to complex sources of uncertainty, such models may yield projections with varying degrees of uncertainty. To better understand projected spatial distributions and the variability between habitat suitability projections, this study uses five SDMs that are based on...
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Emerging methods in habitat and wildlife population modeling promise new horizons in conservation but only if these methods provide robust population–habitat linkages. We used Breeding Bird Survey (BBS) data to verify and validate newly developed habitat suitability index (HSI) models for 40 priority landbird species in the Central Hardwoods and West Gulf Coastal Plain/Ouachitas Bird Conservati...
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در سالهای اخیر،اختلالات کیفیت توان مهمترین موضوع می باشد که محققان زیادی را برای پیدا کردن راه حلی برای حل آن علاقه مند ساخته است.امروزه کیفیت توان در سیستم قدرت برای مراکز صنعتی،تجاری وکاربردهای بیمارستانی مسئله مهمی می باشد.مشکل ولتاژمثل شرایط افت ولتاژواضافه جریان ناشی از اتصال کوتاه مدار یا وقوع خطا در سیستم بیشتر مورد توجه می باشد. برای مطالعه افت ولتاژ واضافه جریان،محققان زیادی کار کرده ...
15 صفحه اولThe effects of climate change on the distribution of an invasive fish in Iran: Gambusia holbrooki (Girard, 1859)
Today, invasive species are considered as one of the major threats to biodiversity and ecosystem functions. The suitable habitats of these species are expected to be expanded under the effects of future climate change hence it is likely to threaten the existence of native species. Consequently, identifying the current and potential distribution range of invasive species is essential for managem...
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ژورنال
عنوان ژورنال: Ecology and Resilient Infrastructure
سال: 2016
ISSN: 2288-8527
DOI: 10.17820/eri.2016.3.2.134