| Title： | Learning ensembles of process-based models for high accurately evaluating the one-hundred-year carbon sink potential of China's forest ecosystem |
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| Authors： | Wang Zhaosheng, Li Renqiang, Guo Qingchun, Wang Zhaojun etc. |
| Corresponding Author： | |
| Year： | 2023 |
| Abstract： | China's forests play a vital role in the global carbon cycle through the absorption of atmospheric CO2 to mitigate climate change caused by the increase of anthropogenic CO3. It is essential to evaluate the carbon sink potential (CSP) of China's forest ec B 䀰ࠆثԁ܅ȃਆثЁ舁ఃਆثЁ舁Ѓࠆثԁ܅Ѓࠆثԁ܅ःࠆثԁ܅ࠃ ➎䍴⤨艰뒦軋琾 竫?ⷥ䀭ꭑ촎勵彐ꀩࠗ CA DATEV STD 02 鶫쁘吿?퓂쇆㛬喔㞜 镗댣䮆槺䅷礆წⱼ퐈 B 䀰ࠆثԁ܅ȃਆثЁ舁ఃਆثЁ舁Ѓࠆثԁ܅Ѓࠆثԁ܅ःࠆثԁ܅ࠃb 팅⪌뽰Å냌僋妑殴将쥪䋋懱葧㐔⩗~ ⚉Ǘ Ќ 舰ࠄ舰ΠĂȂ吐뚕鄲ᰘ駛곊齽ゥ؍⨉䢆čԁ㨰र̆ѕጆ䐂ㅅ】؏唃ࠌ䅄䕔⁖䝥ᠱᘰ̆ѕః䌏⁁䅄䕔⁖呓⁄㈰Ḱഗㄱ㠰㈰㘰㤵㐴ㄍ〹〸〲㔸㐹娴㨰र̆ѕጆ䐂ㅅ】؏唃ࠌ䅄䕔⁖䝥ᠱᘰ̆ѕః䌏⁁䅄䕔⁖呓⁄㈰舰∁രआ蘪虈āԁ̀Ƃ舰ਁ舂ā蜲糯柛Ｋ䚵侕ｃ츝畯㞇ိ䄮œ벲厤ú㕜?賣ஶ㽞멃漅쎜ꓦ樋꺧镘洛뛟⎳魗欽?쐺烬⧂察첵ꨢ䯬Ჸ嚛쏄ឆ?뜑ʽ戯犵䭽溘眢䉢裴ꧢ絑㠀쳴請?ﳤ拲쑚烾嘟鬪娜虶䨷鮙嶅衪鯽쩏ᢄ摭맳騫傦?䆤樂쟢떲䛤ﷷ▲?㍥恵軤ᜅ벉跿律金轢竦㋩櫋궧⟷䄩涔箬树?瞸棉椽꒗Ⴀ᥌斬ꉸȓăĀ芣ࠁ舰Ёะ̆ᵕď！Єȃ焰̆ᵕУな聨圔⎕蚳碑睩ف簐Ȭࣨꇔꐾ〼ㄺ》؉唃ȓ䕄ᄱ༰̆ѕఊ䐈呁噅攠ㅇ〘ؖ唃̄༌䅃䐠呁噅匠䑔〠舲吐뚕鄲ᰘ駛곊齽ゥ؝唃ฝᘄᐄ镗댣䮆槺䅷礆წⱼ퐈ሰ̆ᵕē！ࠄذā˿䰰̆ᵕРぅぃفІ輀ź。〷ص⬈Ćԅȇᘁ栩瑴㩰⼯睷慤整敤稯牥楴楦慫潰楬祣猭摴രआ蘪虈āԅ̀Ƃ䈨២젝⋞섋拚㡅㇖ꄌ畍荟讼呦?㝾쓦襭䅏훩ﶶ蘕鯽ꨥ?鈍Ꞙ鸁뢕?㑺箾骇괎놅黵ਹ㟏ᣁ閪ถꄄ녣য়ஒ塋鴅頀榁鑥ኅ앰좙௬撋횽姀荲獘撕㙔虴ꐺ韽ᗧꙥ??毯ↀ납ᩪ痍⡡枅욛༦墁ᷱ陾ڷ쀎?璈㪨ᮮ筪䳞ꉠ붻Ꮒ园䞋픦㓻?荼㴷剿릸鴡䯯⋚﴾㱈僚ሎ䠬僡亀郖噣꺆ი筏ґꠠ뫸 뤍Ѐ耀 만Ԁ耀 |
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| Classification： | SCI |
| Title of Journal： | HELIYON |
