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    ํ™ฉํ•ด ์—ฐ์•ˆ ๊ฐฏ๋ฒŒ ํ‡ด์ ํ™˜๊ฒฝ๋‚ด ์œ ๊ธฐํƒ„์†Œ์˜ ์‹œ๊ณต๊ฐ„ ๋ถ„ํฌ ๋ฐ ๊ฑฐ๋™ํŠน์„ฑ ๊ทœ๋ช…

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ์ž์—ฐ๊ณผํ•™๋Œ€ํ•™ ์ง€๊ตฌํ™˜๊ฒฝ๊ณผํ•™๋ถ€, 2022. 8. ๊น€์ข…์„ฑ.์ „ ์„ธ๊ณ„์ ์œผ๋กœ ์—ผ์Šต์ง€, ๋งน๊ทธ๋กœ๋ธŒ, ์ž˜ํ”ผ๋ฅผ ํฌํ•จํ•œ ๋ธ”๋ฃจ์นด๋ณธ ์ƒํƒœ๊ณ„๋Š” ์ง€๊ตฌ์˜จ๋‚œํ™”๊ฐ€ ๊ฐ€์†ํ™”๋˜๋Š” ์ƒํ™ฉ์—์„œ ๋†’์€ ์ด์‚ฐํ™”ํƒ„์†Œ ํก์ˆ˜์œจ๋กœ ๊ธฐํ›„ ๋ณ€ํ™”๋ฅผ ์™„ํ™”ํ•˜๋Š”๋ฐ ์ค‘์š”ํ•œ ์—ญํ• ์„ ํ•œ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๊ธฐ์กด์˜ ๋ธ”๋ฃจ์นด๋ณธ ์ƒํƒœ๊ณ„์˜ ์ด์‚ฐํ™”ํƒ„์†Œ ํก์ˆ˜ ๋Šฅ๋ ฅ์— ๋Œ€ํ•ด ๋งŽ์€ ์—ฐ๊ตฌ๊ฐ€ ์ง„ํ–‰๋˜์—ˆ์œผ๋‚˜, ์ž ์žฌ์  ํƒ„์†Œํก์ˆ˜์›์ธ ๊ฐฏ๋ฒŒ์˜ ํƒ„์†Œ ์ €์žฅ ๋Šฅ๋ ฅ๊ณผ ๊ทธ ์กฐ์ ˆ ์š”์ธ์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๋Š” ๋ฏธ๋น„ํ•œ ์‹ค์ •์ด๋‹ค. ์ด์— ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ํ™ฉํ•ด ๊ฐฏ๋ฒŒ ํ‡ด์ ๋ฌผ๋‚ด ์œ ๊ธฐํƒ„์†Œ์˜ ์‹œ๊ณต๊ฐ„๋ถ„ํฌ์™€ ๊ฑฐ๋™์š”์ธ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ํ‰๊ฐ€ํ•˜์˜€๋‹ค. ์ฒซ์งธ๋กœ, ํ•œ๊ตญ ์กฐ๊ฐ„๋Œ€ ํ‘œ์ธตํ‡ด์ ๋ฌผ๋‚ด ์ด์œ ๊ธฐํƒ„์†Œ์˜ ์‹œ๊ณต๊ฐ„์  ๋ถ„ํฌ์™€ ๊ฑฐ๋™์„ ํ‰๊ฐ€ํ•˜์˜€๋‹ค. ์กฐ๊ฐ„๋Œ€ ํ™˜๊ฒฝ์˜ ๋Œ€ํ‘œ์„ฑ๊ณผ ๊ฐ๊ด€์  ๋น„๊ต๋ฅผ ๋‹ด๋ณดํ•˜๊ธฐ ์œ„ํ•ด ์ „ํ˜•์  ์ž์—ฐ ๊ฐฏ๋ฒŒ 4๊ฐœ์†Œ์™€ ๋‹ซํžŒ ํ•˜๊ตฌ 1๊ฐœ์†Œ๋ฅผ ๋Œ€์ƒ์œผ๋กœ 2018๋…„ 1์›”๋ถ€ํ„ฐ 12์›”๊นŒ์ง€ ์›”๋ณ„ ์กฐ์‚ฌ๋ฅผ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ์กฐ์‚ฌ ๋ฐ ๋ถ„์„๊ฒฐ๊ณผ, ์ด ์œ ๊ธฐํƒ„์†Œ ํ•จ๋Ÿ‰์€ ํ‡ด์ ๋ฌผ ์ž…์žํฌ๊ธฐ(์ž…๋„)๋ฅผ ๋Œ€๋ณ€ํ•˜๋Š” ๋‹ˆ์งˆ ํ•จ๋Ÿ‰์— ๋”ฐ๋ผ ๊ฒฐ์ •๋จ์ด ํ™•์ธ๋˜์—ˆ๋‹ค. ๊ฐ€๋กœ๋ฆผ๋งŒ๊ณผ ์ˆœ์ฒœ๋งŒ ํ‡ด์ ๋ฌผ์€ ์ €์„œ๋ฏธ์„ธ์กฐ๋ฅ˜ ๋Œ€๋ฐœ์ƒ์— ๊ธฐ์ธํ•˜์—ฌ ๊ฒจ์šธ์ฒ  ์ด ์œ ๊ธฐํƒ„์†Œ ํ•จ๋Ÿ‰์ด ๋†’์•˜๊ณ , ํŠนํžˆ ฮด13C ๊ฐ’์ด ํฌ๊ฒŒ ์ฆ๊ฐ€ํ–ˆ๋‹ค. ๋ฐ˜๋ฉด ๋‚™๋™๊ฐ• ํ•˜๊ตฌ ํ‡ด์ ๋ฌผ์€ ์žฅ๋งˆ์ฒ (9โ€“10์›”)์— ์œก์ƒ์œผ๋กœ๋ถ€ํ„ฐ์˜ ๋‹ด์ˆ˜๋ฐฉ๋ฅ˜ ์˜ํ–ฅ์œผ๋กœ ์ธํ•ด ฮด13C์™€ ฮด15N ๊ฐ’์ด ๊ฐ์†Œํ•˜๋Š” ๊ฒƒ์ด ํ™•์ธ๋˜์—ˆ๋‹ค. ๋‘˜์งธ๋กœ, ํ•œ๊ตญ ์ „ ์—ฐ์•ˆ ๊ฐฏ๋ฒŒ ํ‡ด์ ๋ฌผ๋‚ด ์œ ๊ธฐํƒ„์†Œ ์ €์žฅ๋Ÿ‰๊ณผ ์œ ๊ธฐํƒ„์†Œ ์นจ์ ๋ฅ ์˜ ์‚ฐ์ •์„ ์œ„ํ•ด ํ˜„์žฅ์กฐ์‚ฌ ์ž๋ฃŒ์™€ ์›๊ฒฉํƒ์‚ฌ ๊ธฐ๋ฒ•์„ ํ™œ์šฉํ•˜์˜€๋‹ค. ์กฐ์‚ฌ์ง€์—ญ์€ ๋™์„œ๋‚จํ•ด 7๊ฐœ ์‹œ๋„(๊ฒฝ๊ธฐ, ์ถฉ๋‚จ, ์ „๋ถ, ์ „๋‚จ, ๊ฒฝ๋‚จ, ๊ฒฝ๋ถ, ๊ฐ•์›) ๋‚ด 21๊ฐœ ์ง€์—ญ์ด์—ˆ์œผ๋ฉฐ, 2017๋…„๋ถ€ํ„ฐ 2020๋…„๊นŒ์ง€ ์ฝ”์–ดํ‡ด์ ๋ฌผ์„ ๋ถ„์„ํ•˜์˜€๊ณ , ์›๊ฒฉ ํƒ์‚ฌ๊ธฐ๋ฒ•์„ ํ†ตํ•ด ๊ฐฏ๋ฒŒ์˜ ํ‡ด์ ๋ฌผ ์„ฑ์ƒ๊ณผ ๋ฉด์ ์„ ์‚ฐ์ •ํ•˜์˜€๋‹ค. ์—ผ์ƒ์‹๋ฌผ์ด ์„œ์‹ํ•˜๋Š” ์—ผ์Šต์ง€์—์„œ๋Š” ์‹๋ฌผ์˜ ์ผ์ฐจ์ƒ์‚ฐ์„ ํ†ตํ•œ ๋†’์€ ํƒ„์†Œ๊ณ ์ • ๋Šฅ๋ ฅ์œผ๋กœ ์ธํ•ด, ๋น„์‹์ƒ ๊ฐฏ๋ฒŒ๋ณด๋‹ค ์ƒ๋Œ€์ ์œผ๋กœ ๋†’์€ ์œ ๊ธฐํƒ„์†Œ ์ €์žฅ๋Ÿ‰์„ ๋ณด์˜€๋‹ค. ํ˜„์žฅ์กฐ์‚ฌ ์ž๋ฃŒ์™€ ์›๊ฒฉํƒ์‚ฌ ๊ธฐ๋ฒ•์„ ํ†ตํ•ด, ๊ตญ๊ฐ€ ์ˆ˜์ค€์—์„œ ํ•œ๊ตญ ์ „ ์—ฐ์•ˆ์˜ ์กฐ๊ฐ„๋Œ€ ๊ฐฏ๋ฒŒ์˜ ์ด ์œ ๊ธฐํƒ„์†Œ ์ €์žฅ๋Ÿ‰ ๋ฐ ์—ฐ๊ฐ„ ์œ ๊ธฐํƒ„์†Œ ์นจ์ ๋ฅ ์„ ์‚ฐ์ •ํ•˜์˜€๋‹ค. ์…‹์งธ๋กœ, ์™ธ๋ž˜์‹๋ฌผ ๊ฐฏ๋ˆํ’€๊ณผ ํ† ์ฐฉ์‹๋ฌผ ๊ฐˆ๋Œ€, ์น ๋ฉด์ดˆ๊ฐ€ ์œ ๊ธฐํƒ„์†Œ ์ฆ๊ฐ€์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ๋น„๊ตํ•˜๊ธฐ ์œ„ํ•ด ์—ผ์ƒ์‹๋ฌผ ์ข…๋ณ„ ์œ ๊ธฐํƒ„์†Œ ์ €์žฅ๋Ÿ‰ ์ฆ๊ฐ€์œจ์„ ๋ถ„์„ํ•˜์˜€๋‹ค. ์ค‘๊ตญ 7๊ฐœ์ง€์—ญ๊ณผ ํ•œ๊ตญ 12๊ฐœ์ง€์—ญ์„ ๋Œ€์ƒ์œผ๋กœ, ๊ฐ ์ง€์—ญ์˜ ์—ผ์ƒ์‹๋ฌผ์ด ์„œ์‹ํ•˜๋Š” ์—ผ์Šต์ง€์™€ ๋น„์‹์ƒ ๊ฐฏ๋ฒŒ์—์„œ ์กฐ์‚ฌ๋ฅผ ์‹ค์‹œํ•˜์˜€๋‹ค. ์™ธ๋ž˜์‹๋ฌผ ๊ฐฏ๋ˆํ’€์ด ์šฐ์ ํ•˜๋Š” ์ค‘๊ตญ ์—ผ์Šต์ง€๊ฐ€ ํ† ์ฐฉ์‹๋ฌผ ๊ฐˆ๋Œ€์™€ ์น ๋ฉด์ดˆ๊ฐ€ ์šฐ์ ํ•˜๋Š” ํ•œ๊ตญ ์—ผ์Šต์ง€๋ณด๋‹ค ๋†’์€ ์œ ๊ธฐํƒ„์†Œ ์ €์žฅ๋Ÿ‰์„ ๋ณด์˜€๋‹ค. ๋™์ผ ๊ธฐ๊ฐ„ ๋™์•ˆ ๊ฐฏ๋ˆํ’€์˜ ์œ ๊ธฐํƒ„์†Œ ์ €์žฅ๋Ÿ‰ ์ฆ๊ฐ€์œจ์€ ์น ๋ฉด์ดˆ์™€ ๊ฐˆ๋Œ€์— ๋น„ํ•ด ๋†’์•˜์œผ๋ฉฐ, ์ด๋Š” ์ƒ๋Œ€์ ์œผ๋กœ ๋†’์€ ์ผ์ฐจ์ƒ์‚ฐ๋Ÿ‰๊ณผ ์ง€ํ•˜๋ถ€ ๋ฟŒ๋ฆฌ ์ƒ๋ฌผ๋Ÿ‰์œผ๋กœ ์ธํ•œ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋˜ํ•œ ๊ฐฏ๋ˆํ’€ ์„œ์‹์ง€๋Š” ๋น„์‹์ƒ ๊ฐฏ๋ฒŒ๊ณผ ๊ฐˆ๋Œ€ ์„œ์‹์ง€์— ๋น„ํ•ด ์˜จ์‹ค๊ฐ€์Šค ๋ฐฐ์ถœ, ๋Œ€ํ˜•์ €์„œ๋™๋ฌผ ๋จน์ด๋ง, ํ‡ด์ ๋ฌผ ์•ˆ์ •๋„, ํƒ„์†Œ์นจ์ ์˜ ๊ด€์ ์—์„œ ์ด์ ์ด ์žˆ๋Š” ๊ฒƒ์œผ๋กœ ํ™•์ธ๋˜์—ˆ๋‹ค. ๋์œผ๋กœ, ๋Œ€๊ทœ๋ชจ ํ˜„์žฅ์กฐ์‚ฌ๋ฅผ ํ†ตํ•ด ํ™ฉํ•ด ์ „ ์—ฐ์•ˆ ๊ฐฏ๋ฒŒ์˜ ์œ ๊ธฐํƒ„์†Œ ์ €์žฅ๋Ÿ‰๊ณผ ์œ ๊ธฐํƒ„์†Œ ์นจ์ ๋ฅ ์„ ์‚ฐ์ •ํ•˜์˜€๋‹ค. ์กฐ์‚ฌ์ง€์—ญ์€ ์ค‘๊ตญ 5๊ฐœ ์‹œ๋„(๋žด์˜ค๋‹์„ฑ, ํ—ˆ๋ฒ ์ด์„ฑ, ํ†ˆ์ง„์‹œ, ์‚ฐ๋‘ฅ์„ฑ, ์žฅ์‘ค์„ฑ)๋‚ด 19๊ฐœ ์ง€์—ญ, ํ•œ๊ตญ 5๊ฐœ ์‹œ๋„(๊ฒฝ๊ธฐ, ์ถฉ๋‚จ, ์ „๋ถ, ์ „๋‚จ, ๊ฒฝ๋‚จ)๋‚ด 18๊ฐœ ์ง€์—ญ์—์„œ ์ฝ”์–ดํ‡ด์ ๋ฌผ์„ ์ฑ„์ง‘ํ•˜์˜€๋‹ค. ๋ถ„์„๊ฒฐ๊ณผ, ์–‘์‹์žฅ, ๋„์‹œ ๋ฐ ์‚ฐ์—…๋‹จ์ง€๋กœ๋ถ€ํ„ฐ ๊ฐ•์„ ํ†ตํ•œ ์œ ๊ธฐ๋ฌผ์งˆ์˜ ์œ ์ž…์ด ์œ ๊ธฐํƒ„์†Œ ์นจ์ ์— ๊ธฐ์—ฌํ•˜๋Š” ๊ฒƒ์ด ํ™•์ธ๋˜์—ˆ๋‹ค. ํ™ฉํ•ด ๊ฐฏ๋ฒŒ ํ‡ด์ ๋ฌผ๋‚ด ์œ ๊ธฐํƒ„์†Œ ํ•จ๋Ÿ‰์€ ํ‡ด์ ๋ฌผ ์ž…๋„์™€ ์—ผ์ƒ์‹๋ฌผ์˜ ์œ ๋ฌด์— ๋”ฐ๋ผ ๊ฒฐ์ •๋˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋‹จ์œ„๋ฉด์ ๋‹น ์œ ๊ธฐํƒ„์†Œ ์ €์žฅ๋Ÿ‰๊ณผ ๊ฐฏ๋ฒŒ ๋ฉด์ ์ž๋ฃŒ๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ํ™ฉํ•ด ์ „ ์—ฐ์•ˆ ๊ฐฏ๋ฒŒ์˜ ์ด ์œ ๊ธฐํƒ„์†Œ ์ €์žฅ๋Ÿ‰ 21โ€“171 Tg C๊ณผ ์—ฐ๊ฐ„ ์œ ๊ธฐํƒ„์†Œ ์นจ์ ๋ฅ  0.08โ€“0.61 Tg C yr-1; 0.29โ€“2.24 Tg CO2 eq. yr-1์„ ์ถ”์ •ํ•˜์˜€๋‹ค. ๊ธฐ์กด์˜ ๋ธ”๋ฃจ์นด๋ณธ ์ƒํƒœ๊ณ„์™€ ๋น„๊ตํ•˜์˜€์„ ๋•Œ ๊ฐฏ๋ฒŒ์€ ์ƒ๋Œ€์ ์€ ๋‚ฎ์€ ๋‹จ์œ„๋ฉด์ ๋‹น ์œ ๊ธฐํƒ„์†Œ ์ €์žฅ๋Ÿ‰๊ณผ ์นจ์ ๋ฅ ์„ ๋ณด์ด๋‚˜, ์ „ ์„ธ๊ณ„์ ์œผ๋กœ ๊ด‘ํ™œํ•œ ๋ฉด์ ๊ณผ ํ•ด๋‹น ์„œ์‹์ง€์˜ ์ผ์ฐจ์ƒ์‚ฐ์ž์ธ ์ €์„œ๋ฏธ์„ธ์กฐ๋ฅ˜๋ฅผ ๊ณ ๋ คํ•  ๋•Œ ๊ฐฏ๋ฒŒ๋„ ๋˜ํ•œ ์ค‘์š”ํ•œ ํƒ„์†Œํก์ˆ˜์›์ž„์„ ์‹œ์‚ฌํ•œ๋‹ค. ์ด์ƒ์˜ ์—ฐ๊ตฌ๊ฒฐ๊ณผ๋ฅผ ์ข…ํ•ฉ ์š”์•ฝํ•˜๋ฉด, ํ™ฉํ•ด ๊ฐฏ๋ฒŒ ํ‡ด์ ๋ฌผ๋‚ด ์œ ๊ธฐํƒ„์†Œ ๋ถ„ํฌ๋Š” ํ‡ด์ ๋ฌผ ์ž…๋„์™€ ์‹์ƒ์˜ ์œ ๋ฌด์— ์˜ํ•ด ๊ฐ€์žฅ ๋งŽ์€ ์˜ํ–ฅ์„ ๋ฐ›์œผ๋ฉฐ, ์œ ๊ธฐํƒ„์†Œ ๊ธฐ์›์€ ์—ผ์ƒ์‹๋ฌผ ์ข…๊ณผ ์œก์ƒ-ํ•ด์–‘๊ธฐ์› ์œ ๊ธฐ๋ฌผ ์œ ์ž…์— ๋”ฐ๋ผ ๋ณ€ํ™”๋˜๋Š” ๊ฒƒ์ด ํ™•์ธ๋˜์—ˆ๋‹ค. ๊ฒฐ๊ณผ์ ์œผ๋กœ, ๋ณธ ์—ฐ๊ตฌ๋Š” ํ™ฉํ•ด ๊ฐฏ๋ฒŒ์˜ ๋ธ”๋ฃจ์นด๋ณธ ์ž ์žฌ์„ฑ๊ณผ ์ด์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์ƒํƒœํ•™์  ํŠน์„ฑ์— ๋Œ€ํ•œ ์ •๋ณด๋ฅผ ์ œ๊ณตํ•˜๋ฉฐ, ํ–ฅํ›„ ํ™ฉํ•ด ๊ฐฏ๋ฒŒ ํ‡ด์ ๋ฌผ๋‚ด ํƒ„์†Œ์ˆœํ™˜ ์—ฐ๊ตฌ์— ๋Œ€ํ•œ ์ค‘์š”ํ•œ ๊ธฐ์ดˆ์ž๋ฃŒ๋กœ ํ™œ์šฉ๋  ์ˆ˜ ์žˆ์Œ์„ ์‹œ์‚ฌํ•œ๋‹ค.Recently, blue carbon ecosystems (BCEs), including salt marshes, mangrove forests, and seagrass meadows, have been highlighted for their capacity to fix high quantities of carbon under global warming. Although these conventional BCEs are widely studied for their role as highly efficient CO2 sinks, holistic data analysis of carbon sink capacity and its controlling factors remain limited in the tidal flat ecosystems of the Yellow Sea. Thus, the current study evaluated the spatiotemporal distribution and fate of sedimentary organic carbon of tidal flat ecosystems in the Yellow Sea. Sedimentary organic carbon in the surface sediments of typical intertidal areas were investigated to address year-round monthly distributions and site-specific sources. Target areas included four natural tidal flats (Ganghwa, Garolim, Sinan, and Suncheon) and one artificially closed estuary (Nakdong River) in South Korea during 2018. Among the parameters monitored, mud content was a key factor controlling organic matter content, across varying habitats, with significant positive correlations to total organic carbon (TOC). Elevated TOC content and heavier carbon stable isotope ratios (ฮด13C) in the sediments of Garolim and Suncheon from February to April of 2018 reflected microphybenthos blooms during winter, indicating a primary influence of marine sources. In comparison, ฮด13C and ฮด15N were depleted in the sediments of Nakdong River estuary during the flood season (Septemberโ€“October), indicating the direct influence of terrestrial organic input through freshwater discharge. To estimate current organic carbon stocks and sequestration rates in the coastal areas of the West Sea, South Sea, and East Sea of South Korea, field surveys were conducted over 4 years combined with remote sensing technology were conducted encompassing entire intertidal areas. Twenty-one intertidal flats were targeted across seven provinces (Gyeonggi, Chungnam, Jeonbuk, Jeonnam, Gyeongnam, Gyeongbuk, and Gangwon). Organic carbon stocks measured in salt marshes (i.e., upper intertidal zone) reflected the high carbon fixation capacity of halophytes through primary production. The texture of different sediments was classified based on remotely sensed imagery, and was confirmed to be closely correlated with field-based classification data. Using field and remote sensing results, total organic carbon stocks and sequestration rates were estimated in the tidal flats of South Korea. This investigation was conducted to address the effects of an invasive halophyte (i.e., Spartina alterniflora) on sedimentary organic carbon compared to native halophyte habitats (i.e., Suaeda japonica and Phragmites australis) in South Korea and China. Out of the two countries, salt marshes in China tended to have higher organic carbon stocks compared to those in Korea, which was attributed to different rates of increase in TOC by halophyte species. Spartina alterniflora contributed to higher carbon accumulation rates in sediments (3.4 times), through higher primary production and greater root biomass, compared to S. japonica (2.5 times) and P. australis (2.4 times) over the same period. In addition, compared to P. australis and bare tidal flats, S. alterniflora had advantages with respect to greenhouse gas emissions, the food web, sediment erodibility, and carbon burial. Finally, a large-scale investigation was conducted to demonstrate the distribution of total organic carbon stocks and sequestration rates of coastal sediments along the Yellow Sea. Riverine inputs of anthropogenic organic matter from aquaculture, municipal, and industrial areas contributed to the burial of sedimentary organic carbon. Out of the evaluated environmental parameters, sediment mud contents and halophytes were confirmed as key factors affecting organic carbon levels in coastal sediment. Based on the assimilated data, total organic carbon stocks (21โ€“171 Tg C) and sequestration rates (0.08โ€“0.61 Tg C yr-1; 0.29โ€“2.24 Tg CO2 eq. yr-1) were evaluated in the Yellow Sea. Of note, tidal flats had relatively lower carbon stocks due to having lower net primary production (NPP) compared to conventional BCEs. Nevertheless, given the extensive areal coverage and microphytobenthos (MPB), tidal flats could be significant carbon sinks, and also terminal reservoirs of detritus organic matter from adjacent vegetated coastal ecosystems. Overall, the distribution of sedimentary organic carbon varied in the sediment mud content and vegetation of tidal flats in the Yellow Sea. Furthermore, the sources affecting the differences in its origin included halophyte species and terrestrial-marine inputs. In conclusion, the present study provides a relatively large-scale baseline on the carbon dynamics of coastal sediments along the Yellow Sea, contributing to the global database of โ€œBlue Carbonโ€ science.CHAPTER. 1. Introduction 1 1.1. Backgrounds 2 1.2. Objectives 8 CHAPTER. 2. Natural and anthropogenic signatures on sedimentary organic matters across varying intertidal habitats in the Korean waters 11 2.1. Introduction 12 2.2. Materials and methods 15 2.2.1. Study area 15 2.2.2. Sampling and laboratory analyses 18 2.2.3. Data analysis 21 2.3. Results and discussion 22 2.3.1. Spatiotemporal distributions of sedimentary organic matter 22 2.3.2. Effects of the mud contents on sedimentary TOC and TN 29 2.3.3. Effects of benthic microalgae on sedimentary TOC and TN 32 2.3.4. Site-specific variabilities in sources of sedimentary organic matters 36 2.3.5. Factors affecting complex dynamics of sedimentary organic matter 39 CHAPTER. 3. The first national scale evaluation of organic carbon stocks and sequestration rates of coastal sediments along the West Sea, South Sea, and East Sea of South Korea 42 3.1. Introduction 43 3.2. Materials and methods 46 3.2.1. Study area 46 3.2.2. Tidal flat delineation using remote sensing 58 3.2.3. Validation of sediment textural types using remote sensing 62 3.2.4. Sampling and laboratory analyses 63 3.2.5. Calculation of organic carbon stock 69 3.2.6. Calculation of organic carbon sequestration rate 73 3.2.7. Statistical analyses 74 3.3. Results and discussion 75 3.3.1. Spatiotemporal distribution of organic carbon stocks per unit area 75 3.3.2. Environmental factors affecting the complex dynamics of sedimentary organic carbon stocks 78 3.3.3. Effects of mud content and vegetation on sedimentary TOC 81 3.3.4. Validation of tidal flat areas and sediment textural types using remote sensing classification 86 3.3.5. Estimation of organic carbon stocks and sequestration rates in South Korea 90 CHAPTER. 4. The effect of exotic S. alterniflora invasion on sedimentary organic carbon across the coastal areas of the Yellow Sea 99 4.1. Introduction 100 4.2. Materials and methods 103 4.2.1. Data packages 103 4.2.2. Air temperature anomaly 105 4.2.3. Sedimentary organic carbon stocks per unit area 106 4.2.4. Benthic community after Spartina alterniflora eradication 109 4.2.5. CO2 and CH4 emissions 110 4.2.6. Relatively contribution of primary diet 111 4.2.7. Statistical analysis 112 4.3. Results and discussion 113 4.3.1. Elevated temperature affecting the spread of Spartina alterniflora in the Yellow Sea 113 4.3.2. Effects of Spartina alterniflora invasion on sedimentary organic carbon 117 4.3.3. Effect of eradication on Spartina alterniflora and macrobenthos community 124 4.3.4. Comparision of ecological functions between bare tidal flat, native Phragmites australis, and invasive Spartina alterniflora 127 CHAPTER. 5. Spatial variation of sedimentary organic carbon in the coastal areas of the Yellow Sea 135 5.1. Introduction 136 5.2. Materials and methods 138 5.2.1. Study area 138 5.2.2. Sampling and laboratory analyses 140 5.2.3. Data analyses 146 5.3. Results and discussion 147 5.3.1. Spatial distribution of organic carbon stocks per unit area 147 5.3.2. Environmental factors affecting the complex dynamics of sedimentary organic carbon stocks 149 5.3.3. Halophyte species-specific variability in the sources of sedimentary organic matter 151 5.3.4. Organic carbon stocks and carbon sequestration rates in the coastal areas of the Yellow Sea 153 CHAPTER. 6. Conclusions 157 6.1. Summary 158 6.2. Environmental implications and limitations 163 6.3. Future research directions 166 BIBLIOGRAPHY 169 ABSTRACT (IN KOREAN) 186๋ฐ•

    ํ™ฉํ•ด ์—ฐ์•ˆ์ง€์—ญ ํ‡ด์ ๋ฌผ ๋‚ด ์ž”๋ฅ˜์„ฑ๋…์„ฑ๋ฌผ์งˆ์˜ ์‹œ๊ณต๊ฐ„ ๋ถ„ํฌ ๋ฐ ๋Œ€ํ˜•์ €์„œ๋™๋ฌผ ๊ตฐ์ง‘์— ๋Œ€ํ•œ ์˜ํ–ฅ

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์ž์—ฐ๊ณผํ•™๋Œ€ํ•™ ์ง€๊ตฌํ™˜๊ฒฝ๊ณผํ•™๋ถ€, 2021. 2. ๊น€์ข…์„ฑ.Sediments in the coastal areas of the Yellow Sea have been contaminated by persistent toxic substances (PTSs) over the last 30 years. This study evaluated the spatiotemporal distribution of classic and emerging PTSs in sediment and their impact on the macrofaunal community in the coastal areas of the Yellow Sea. PTSs included polycyclic aromatic hydrocarbons (PAHs), alkylphenols (APs), polychlorinated biphenyls (PCBs), metals, emerging PTS (styrene oligomers (SOs), emerging-PAHs (E-PAHs), and halogenated-PAHs (Hl-PAHs). The distribution of PTSs varied in relation to chemical and station, with that of PAHs being generally high. PAH concentrations in Nantong, Huludao, and Qinhuangdao (China) present potential risks to aquatic organisms. Over the last decade, PAH contamination has declined in Korea, while that of PAHs in general has increased in China. Thus, PTS contamination is likely ongoing with high potential risk, especially in China. Historical records of classic and emerging PTSs over the 100 years showed that contamination of both classic and emerging PTSs was high from the 1970s to 1990s. Fluxes of classic and emerging PTSs showed a similar trend to concentrations of PTSs; however, since the 2000s, the rate of decrease has been relatively low, indicating the continuous input of PTSs to the Yellow Sea. The impact of PTSs has been low, despite the relatively high concentrations of classic and emerging PTSs in hotspots. The macrofaunal community inhabiting the upper intertidal zone, estuaries, and coastal areas was more impacted by salinity, sediment grain size, and chlorophyll-a, rather than PTSs. However, the great potential ecological risk of PTSs was found in some areas, which suggested that continuous monitoring is required. Overall, the contamination by sedimentary PTSs in the coastal areas of the Yellow Sea has decreased compared to the past; however, contamination remains high in certain areas. The impacts of PTSs on the macrofaunal community were weak, despite the high PTS concentrations in some areas. In conclusion, This study provides baseline information on PTS contamination and ecological impacts, suggesting that selecting priorities for pollution management and implementation of pollution reduction policies in Korea and China are necessary.ํ™ฉํ•ด ์—ฐ์•ˆ์ง€์—ญ ํ‡ด์ ๋ฌผ์€ ์ง€๋‚œ 30์—ฌ๋…„๊ฐ„ ์ž”๋ฅ˜์„ฑ์˜ค์—ผ๋ฌผ์งˆ์— ์˜ํ•ด ์˜ค์—ผ๋˜์–ด ์™”๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์ตœ์ดˆ๋กœ ํ™ฉํ•ด ์ „์ฒด ์—ฐ์•ˆ์ง€์—ญ ํ‡ด์ ๋ฌผ ๋‚ด ๊ธฐ์กด (๋‹คํ™˜๋ฐฉํ–ฅ์กฑํƒ„ํ™”์ˆ˜์†Œ, ์•Œํ‚ฌํŽ˜๋†€, ํด๋ฆฌ์—ผํ™”๋น„ํŽ˜๋‹, ์ค‘๊ธˆ์†) ๋ฐ ์‹ ๊ทœ (์Šคํ‹ฐ๋ Œ์˜ฌ๋ฆฌ๊ณ ๋จธ์™€ ์•„๋ฏธ๋…ธ, ์•Œํ‚ฌ ๋˜๋Š” ํ• ๋กœ๊ฒ์œผ๋กœ ์น˜ํ™˜๋œ ๋‹คํ™˜๋ฐฉํ–ฅ์กฑํƒ„ํ™”์ˆ˜์†Œ) ์ž”๋ฅ˜์„ฑ์˜ค์—ผ๋ฌผ์งˆ์˜ ์‹œ๊ณต๊ฐ„๋ถ„ํฌ์™€ ๋Œ€ํ˜•์ €์„œ๋™๋ฌผ ๊ตฐ์ง‘์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ํ‰๊ฐ€ํ•˜์˜€๋‹ค. ์ž”๋ฅ˜์„ฑ์˜ค์—ผ๋ฌผ์งˆ์˜ ๋ถ„ํฌ๋Š” ํ™”ํ•ฉ๋ฌผ๊ณผ ์ •์ ์— ๋”ฐ๋ผ ๋‹ค์–‘ํ•˜๊ฒŒ ๋‚˜ํƒ€๋‚ฌ๊ณ , ๋‹คํ™˜๋ฐฉํ–ฅ์กฑํƒ„ํ™”์ˆ˜์†Œ์˜ ๋†๋„๊ฐ€ ์ƒ๋Œ€์ ์œผ๋กœ ๋†’๊ฒŒ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ํŠนํžˆ, ์ค‘๊ตญ์˜ ํ›„๋ฃจ๋‹ค์˜ค, ์นœํ™ฉ๋‹ค์˜ค, ๋‚œํ†ต์ง€์—ญ ๋‚ด ๋‹คํ™˜๋ฐฉํ–ฅ์กฑํƒ„ํ™”์ˆ˜์†Œ์˜ ๋†๋„๋Š” ์ˆ˜ ์ƒํƒœ๊ณ„์— ์ž ์žฌ์  ์œ„ํ•ด์„ฑ์„ ๊ฐ€์ง€๋Š” ๊ฒƒ์œผ๋กœ ํ™•์ธ๋˜์—ˆ๋‹ค. ์ง€๋‚œ 10์—ฌ๋…„๊ฐ„ ํ•œ๊ตญ์—์„œ ๋‹คํ™˜๋ฐฉํ–ฅ์กฑํƒ„ํ™”์ˆ˜์†Œ ๋†๋„๋Š” ๊ฐ์†Œํ•˜์˜€์ง€๋งŒ, ์ค‘๊ตญ์—์„œ๋Š” ์œ ์ž…์›์˜ ๋ณ€ํ™”์™€ ํ•จ๊ป˜ ์ตœ๊ทผ ๋” ๋†’์€ ๋†๋„๊ฐ€ ๊ฒ€์ถœ๋˜์—ˆ๋‹ค. ์—ฐ๋Œ€๊ฐ€ ์ธก์ •๋œ ์ฃผ์ƒํ‡ด์ ๋ฌผ ๋ถ„์„ํ•œ ๊ฒฐ๊ณผ, ์ง€๋‚œ 100์—ฌ๋…„๊ฐ„ ๊ธฐ์กด ๋ฐ ์‹ ๊ทœ ์ž”๋ฅ˜์„ฑ์˜ค์—ผ๋ฌผ์งˆ์ด ์กด์žฌํ•˜์˜€๊ณ , 1970๋…„๋Œ€๋ถ€ํ„ฐ 1990๋…„๋Œ€์— ๊ฐ€์žฅ ๋†’์€ ๋†๋„๋กœ ๋ถ„ํฌํ•œ ๊ฒƒ์ด ํ™•์ธ๋˜์—ˆ๋‹ค. ์ž”๋ฅ˜์„ฑ์˜ค์—ผ๋ฌผ์งˆ์˜ ์œ ์ž…๋Ÿ‰์€ 1990๋…„๋Œ€ ์ดํ›„์—๋„ ์ƒ๋Œ€์ ์œผ๋กœ ๋†’๊ฒŒ ๋‚˜ํƒ€๋‚˜, ํ™ฉํ•ด ์—ฐ์•ˆ์ง€์—ญ์˜ ์˜ค์—ผ์ด ์ง€์†๋˜๊ณ  ์žˆ์Œ์„ ์‹œ์‚ฌํ•˜์˜€๋‹ค. ์ž”๋ฅ˜์„ฑ์˜ค์—ผ๋ฌผ์งˆ์— ์˜ํ•œ ์˜ํ–ฅ์€ ๋†๋„๋‚˜ ์ง€์—ญ์— ๊ด€๊ณ„์—†์ด ์ƒ๋Œ€์ ์œผ๋กœ ์ž‘๋‹ค๋Š” ๊ฒƒ์ด ํ™•์ธ๋˜์—ˆ๋‹ค. ์ƒ๋ถ€์กฐ๊ฐ„๋Œ€, ํ•˜๊ตฌ, ์—ฐ์•ˆ ์ง€์—ญ์— ์„œ์‹ํ•˜๋Š” ๋Œ€ํ˜•์ €์„œ๋™๋ฌผ ๊ตฐ์ง‘์€ ํ™˜๊ฒฝ์š”์ธ ์ค‘ ์ž”๋ฅ˜์„ฑ์˜ค์—ผ๋ฌผ์งˆ ๋ณด๋‹ค ์—ผ๋ถ„, ํ‡ด์ ๋ฌผ ์ž…์žํฌ๊ธฐ์— ๊ฐ€์žฅ ์˜ํ–ฅ์„ ๋ฐ›์•˜๋‹ค. ํ•˜์ง€๋งŒ ์ผ๋ถ€ ์ง€์—ญ์—์„œ ์ž”๋ฅ˜์„ฑ์˜ค์—ผ๋ฌผ์งˆ์˜ ์ž ์žฌ์  ์œ„ํ—˜๋„๊ฐ€ ๋†’๊ฒŒ ๋‚˜ํƒ€๋‚˜ ์ง€์†์ ์ธ ๊ด€์ฐฐ์ด ์š”๊ตฌ๋œ๋‹ค. ์ด์ƒ์˜ ์—ฐ๊ตฌ๊ฒฐ๊ณผ๋ฅผ ์ข…ํ•ฉ ์š”์•ฝํ•˜๋ฉด, ์ฒซ์งธ, ํ™ฉํ•ด ์—ฐ์•ˆ ํ‡ด์ ๋ฌผ๋‚ด ์ž”๋ฅ˜์„ฑ์˜ค์—ผ๋ฌผ์งˆ์€ ๊ณผ๊ฑฐ์— ๋น„ํ•ด ์ตœ๊ทผ ๊ฐ์†Œํ–ˆ์œผ๋‚˜, ์ผ๋ถ€ ์ง€์—ญ์—์„œ ์—ฌ์ „ํžˆ ๋†’์€ ์˜ค์—ผ๋„๋ฅผ ๋ณด์˜€๊ณ , ๋‘˜์งธ, ๋Œ€ํ˜•์ €์„œ๋™๋ฌผ์˜ ๊ตฐ์ง‘๊ตฌ์กฐ๋Š” ์ž”๋ฅ˜์„ฑ์˜ค์—ผ๋ฌผ์งˆ๋ณด๋‹ค๋Š” ์„œ์‹์ง€ ๋‚ด ๋ฌผ๋ฆฌ ํ™”ํ•™์  ํ™˜๊ฒฝ์š”์ธ์— ์˜ํ•ด ๋” ์˜ํ–ฅ์„ ๋ฐ›๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๊ฒฐ๊ณผ์ ์œผ๋กœ, ๋ณธ ์—ฐ๊ตฌ๋Š” ํ™ฉํ•ด ์—ฐ์•ˆ ์ง€์—ญ์˜ ์˜ค์—ผ๊ณผ ์ƒํƒœํ•™์  ์˜ํ–ฅ์— ๋Œ€ํ•œ ์ •๋ณด๋ฅผ ์ œ๊ณตํ•˜๋ฉฐ, ํ–ฅํ›„ ํ•œ๊ตญ๊ณผ ์ค‘๊ตญ์˜ ์˜ค์—ผ๊ด€๋ฆฌ๋ฅผ ์œ„ํ•œ ์šฐ์„ ์ˆœ์œ„ ์„ ํƒ ๋ฐ ์˜ค์—ผ๊ฐ์†Œ ์ •์ฑ… ์‹คํ–‰์ด ํ•„์š”ํ•จ์„ ์‹œ์‚ฌํ•œ๋‹ค.ABSTRACT I TABLE OF CONTENTS II LIST OF ABBREVIATIONS VI LIST OF TABLES IX LIST OF FIGURES XII CHAPTER. 1. Introduction 1 1.1. Background 2 1.2. Objectives 10 CHAPTER. 2. Distributions Of Persistent Organic Contaminants In Sediments And Their Potential Impact On Macrobenthic Faunal Community Of The Geum River Estuary And Saemangeum Coast, Korea 12 2.1. Introduction 13 2.2. Materials and Methods 15 2.2.1. Sampling strategy 15 2.2.2. Analyses of PTSs and carbon stable isotope ratio 15 2.2.3. Macrobenthic fauna analysis 19 2.2.4. Quality assurance and quality control 19 2.2.5. Data analysis 19 2.3. Results and Discussion 21 2.3.1. Spatial distribution of persistent organic contaminants 21 2.3.2. Composition and sources of persistent organic contaminants 26 2.3.3. Sources and distribution of organic matter 31 2.3.4. Association of POCs contamination to the macrofaunal community 35 2.4. Summary 42 CHAPTER. 3. Macrozoobenthic community responses to sedimentary contaminations by anthropogenic toxic substances in the Geum River Estuary, South Korea 2014 43 3.1. Introduction 44 3.2. Materials and Methods 47 3.2.1. Study area and sampling 47 3.2.2. PTS analyses 49 3.2.3. Environment parameters and macrobenthic fauna analyses 53 3.2.4. Data analyses 53 3.3. Results and Discussion 55 3.3.1. Spatiotemporal distributions of metals and the metalloid 55 3.3.2. Spatiotemporal distributions of PAHs and APs 66 3.3.3. Spatiotemporal patterns of macrofaunal assemblages 72 3.3.4. Key factors influencing the spatiotemporal pattern of macrofaunal assemblages 76 3.4. Summary 83 CHAPTER. 4. Large-Scale Monitoring And Ecological Risk Assessment Of Persistent Toxic Substances In Riverine, Estuarine, And Coastal Sediments Of The Yellow And Bohai Seas 84 4.1. Introduction 85 4.2. Materials and Methods 89 4.2.1. Study area and sampling 89 4.2.2. Chemicals and reagents 92 4.2.3. PTSs analyses 94 4.2.4. TOC, TN, and stable isotopes analyses 97 4.2.5. Positive matrix factorization receptor model 98 4.2.6. Macrobenthic fauna analysis 99 4.2.7. Data analyses 99 4.3. Results and Discussion 100 4.3.1. Distributions of PTSs in sediments of Yellow and Bohai seas 100 4.3.2. Assessment of potential ecological risks 108 4.3.3. Compositions and sources of PTSs 109 4.3.4. PTSs distributions by land-use types 117 4.3.5. Comparison of PTSs contaminations between 2008 and 2018 123 4.3.6. Macrobenthic fauna community 127 4.4. Summary 130 CHAPTER. 5. Historical Sedimentary Record And Flux Of Classic And Emerging Persistent Toxic Substances In Intertidal Sediment Cores From The Yellow And Bohai Seas 131 5.1. Introduction 132 5.2. Materials and Methods 135 5.2.1. Sampling 135 5.2.2. Target chemicals 137 5.2.3. Analyses of persistent toxic substances 137 5.2.4. Sediment dating and PTSs flux 142 5.2.5. Macrobenthic fauna analysis 145 5.2.6. Data analyses 145 5.3. Results and Discussion 146 5.3.1. Concentrations and fluxes of classic PTSs 146 5.3.2. Concentrations and fluxes of emerging PTSs 151 5.3.3. Compositional profiles and sources of PTSs 154 5.3.4. Deposition flux and mass inventory 162 5.3.5. Macrobenthic fauna community 164 5.4. Summary 167 CHAPTER. 6. Conclusions 168 6.1. Summary 169 6.2. Environmental implications and Limitations 177 6.3. Future Research Directions 184 BIBLIOGRAPHY 186 ABSTRACT (IN KOREAN) 208 APPENDIX 209Docto

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