基于涡度数据的东北草地光能利用率模型构建与验证

丁蕾; 沈贝贝; 刘一良; 李振旺; 王旭; 辛晓平

doi:10.11873/j.issn.1004-0323.2022.1.0231

閬ユ劅鎶�鏈笌搴旂敤鈥衡�� 2022, Vol. 37 鈥衡�� Issue (1): 231-243.DOI: 10.11873/j.issn.1004-0323.2022.1.0231

鈥� 鑽夊湴閬ユ劅涓撴爮鈥� 涓婁竴绡� 涓嬩竴绡�

鍩轰簬娑″害鏁版嵁鐨勪笢鍖楄崏鍦板厜鑳藉埄鐢ㄧ巼妯″瀷鏋勫缓涓庨獙璇�

涓佽暰¹(),娌堣礉璐�¹,鍒樹竴鑹�²,鏉庢尟鏃�³,鐜嬫棴¹,杈涙檽骞�¹()

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^2.鍥藉閬ユ劅涓績锛屽寳浜� 100036
^3.涓浗绉戝闄㈠崡浜湡澹ょ爺绌舵墍锛屾睙鑻� 鍗椾含 210008

鏀剁鏃ユ湡:2021-07-13 淇洖鏃ユ湡:2021-12-23 鍑虹増鏃ユ湡:2022-02-20 鍙戝竷鏃ユ湡:2022-04-08
閫氳浣滆��: 杈涙檽骞�
浣滆�呯畝浠�:涓佽暰锛�1991-锛夛紝濂筹紝娌冲寳鍞愬北浜猴紝鍗氬＋锛屼富瑕佷粠浜嬭崏鍘熺敓鎬侀仴鎰熺爺绌躲�侲?mail锛�dinglei0206@126.com
鍩洪噾璧勫姪:
鍥藉閲嶇偣鐮斿彂璁″垝椤圭洰鈥滆崏鍦扮⒊鏀舵敮鐩戞祴璇勪及鎶�鏈悎浣滅爺绌垛��(2017YFE0104500);鍥藉鑷劧绉戝鍩洪噾鈥滃熀浜庡叏鐢熷懡鍛ㄦ湡鍒嗘瀽鐨勫灏哄害鑽夌敻鑽夊師缁忚惀鏅纰虫敹鏀爺绌垛��(41771205);璐㈡斂閮ㄥ拰鍐滀笟鍐滄潙閮ㄥ浗瀹剁幇浠ｅ啘涓氫骇涓氭妧鏈綋绯昏祫鍔�;涓ぎ绾у叕鐩婃�х鐮旈櫌鎵�鍩烘湰绉戠爺涓氬姟璐逛笓椤�(Y2020YJ19)

Constructing and Validating Light Use Efficiency Model of the Grassland in Northeastern China based on Flux Data

Lei Ding¹(),Beibei Shen¹,Yiliang Liu²,Zhenwang Li³,Xu Wang¹,Xiaoping Xin¹()

^1.National Hulunber Grassland Ecosystem Observation and Research Station / Institute of Agricultural Resources and Regional Planning锛孋hinese Academy of Agricultural Sciences锛孊eijing 100081锛孋hina
^2.National Remote Sensing Center of China锛孊eijing 100036锛孋hina
^3.Institute of Soil Science锛孋hinese Academy of Sciences锛孨anjing 210008锛孋hina

Received:2021-07-13 Revised:2021-12-23 Online:2022-02-20 Published:2022-04-08
Contact: Xiaoping Xin

鎽樿/Abstract

鎽樿锛�

鑽夊湴浣滀负鍦扮悆涓婂垎甯冩渶骞跨殑妞嶈绫诲瀷锛屽湪闄嗗湴纰冲惊鐜腑鍙戞尌鐫�閲嶈浣滅敤銆傝崏鍦扮敓浜у姏鏄及绠椾骇鑽夐噺鐨勫熀纭�锛屽噯纭ā鎷熺敓浜у姏瀵硅崏鍘熻祫婧愬悎鐞嗗埄鐢ㄥ強鐢熸�佷繚鎶ゅ叿鏈夐噸瑕佹剰涔夈�備互涓滃寳鑽夊湴鐢熶骇鍔涗负鐮旂┒鏍稿績锛屽埄鐢ㄦ丁搴︾浉鍏抽�氶噺瑙傛祴鏁版嵁銆侀仴鎰熸暟鎹拰姘旇薄鏁版嵁锛屾瀯寤哄拰妫�楠屼笢鍖楄崏鍦板厜鑳藉埄鐢ㄧ巼妯″瀷銆備笢鍖楄崏鍦板厜鑳藉埄鐢ㄧ巼妯″瀷浠ュ綊涓�鍖栫墿鍊欐琚寚鏁帮紙NDPI锛変唬琛ㄥ厜鍚堟湁鏁堣緪灏勫惛鏀舵瘮渚嬶紝浠ュ湴琛ㄦ按鍒嗘寚鏁帮紙LSWI锛�+ 0.5琛ㄧず姘村垎鑳佽揩鍥犲瓙銆傚熀浜�44涓崏鍘熺珯鐨勯�氶噺鏁版嵁瀵逛笢鍖楄崏鍦板厜鑳藉埄鐢ㄧ巼妯″瀷杩涜楠岃瘉锛屼笢鍖楄崏鍦板厜鑳藉埄鐢ㄧ巼妯″瀷鐨�R²涓�0.855锛岄珮浜嶮ODIS GPP浜у搧锛�R²=0.719锛夛紝鐣ラ珮浜嶸PM GPP浜у搧锛�R²=0.848锛夛紝涓滃寳鑽夊湴鍏夎兘鍒╃敤鐜囨ā鍨嬬殑MAE鍜孯MSE鍒嗗埆涓�0.374 gCm^-2鍜�0.735 gCm^-2锛屼綆浜嶮ODIS GPP浜у搧锛圡AE=0.562 gCm^-2锛孯MSE=1.026 gCm^-2锛夊拰VPM GPP 浜у搧锛圡AE=0.667 gCm^-2锛孯MSE=1.339 gCm^-2锛夈�俈PM GPP浜у搧鏅亶楂樹及浜嗕笢鍖楄崏鍦扮殑GPP锛汳ODIS GPP浜у搧鍦ㄥ吀鍨嬭崏鍘熷共鏃卞勾浠芥槑鏄鹃珮浼版丁搴︽�诲垵绾х敓浜у姏锛圙PP锛夛紝鑰屽湪鑽夌敻鑽夊師鍗村瓨鍦ㄦ槑鏄剧殑浣庝及锛涗笢鍖楄崏鍦板厜鑳藉埄鐢ㄧ巼妯″瀷铏界劧鍦ㄥ吀鍨嬭崏鍘熺殑骞叉棻骞翠唤涔熷瓨鍦ㄩ珮浜庢丁搴PP鐨勬儏鍐碉紝浣嗙▼搴﹁緝MODIS GPP浜у搧鍜孷PM GPP浜у搧灏忋�備笢鍖楄崏鍦板厜鑳藉埄鐢ㄧ巼妯″瀷涓嶈浠庢ā鍨嬬簿搴﹁繕鏄姩鎬佷竴鑷存�т笂锛屽叾琛ㄧ幇鍧囦紭浜嶮ODIS GPP浜у搧鍜孷PM GPP浜у搧锛屼笖骞村昂搴︿笂鐨勬嫙鍚堢簿搴﹁繙楂樹簬MODIS GPP浜у搧鍜孷PM GPP浜у搧銆傛按鍒嗚儊杩拰FPAR鐨勬敼杩涢兘鏄笢鍖楄崏鍦板厜鑳藉埄鐢ㄧ巼鏀硅繘妯″瀷绮惧害杈冮珮鐨勫師鍥狅紝姘村垎鑳佽揩鐨勮础鐚洿澶с�傜爺绌惰〃鏄庝娇鐢ㄦ瀯寤虹殑涓滃寳鑽夊湴鍏夎兘鍒╃敤鐜囨ā鍨嬫ā鎷熶笢鍖楄崏鍦扮敓浜у姏闈炲父蹇呰銆�

鍏抽敭璇�: 鑽夊湴, 鍏夎兘鍒╃敤鐜囨ā鍨�, 鐢熶骇鍔�, GPP浜у搧

Abstract:

As the most widely distributed vegetation type on earth锛� grassland plays an important role in the terrestrial carbon cycle. Grassland productivity is the basis for estimating grassland yield. Grasping the temporal and spatial variation of grassland productivity is of great significance for rational utilization of grassland resources and protection of grassland ecological environment. This thesis taking the productivity of grassland in northeastern China as core锛� constructing and validating light use efficiency model based on eddy covariance flux data锛� remote sensing锛� and climate data锛� explored the spatiotemporal patterns on this basis. The research results are as follows锛� in the northeastern China steppe LUE model锛� FPAR was represented by NDPI锛� water stress factor was represented by LSWI + 0.5. Based on the flux data of four grassland stations锛� the R² of the northeastern China steppe LUE model was 0.855锛� which was higher than that of MODIS GPP 锛�R² = 0.719锛夛紝 and slightly higher than VPM GPP 锛�R² = 0.848锛�. MAE and RMSE of the northeastern China steppe LUE model were 0.374 gCm^-2 and 0.735 gCm^-2锛宺espectively锛寃hich were lower than that of MODIS GPP锛圡AE=0.562 gCm^-2锛� RMSE = 1.026 gCm^-2锛� and VPM GPP products 锛圡AE = 0.667 gCm^-2锛� RMSE = 1.339 gCm^-2锛�. VPM GPP product generally overestimated the flux GPP锛� MODIS GPP product significantly overestimated typical steppe GPP in dry years锛� and significantly underestimated meadow steppe GPP. Although the northeastern China steppe LUE model was higher than the typical steppe flux GPP in the dry years锛� its overestimation degree is less than that of MODIS GPP and VPM GPP products. The northeastern China steppe LUE model is superior to MODIS GPP and VPM GPP products in terms of model accuracy and dynamic consistency锛� and the fitting accuracy of the annual scale is much higher than MODIS GPP and VPM GPP. The modified of water stress and FPAR was the reason for the improvement of LUE model accuracy锛� and the relative contribution of water stress is greater. This study demonstrates that it is necessary to use the improved light energy utilization model to simulate grassland productivity in northeastern China.

Key words: Grassland, Light use efficiency model, Productivity, GPP products

涓浘鍒嗙被鍙�:

S812

涓佽暰,娌堣礉璐�,鍒樹竴鑹�,鏉庢尟鏃�,鐜嬫棴,杈涙檽骞�. 鍩轰簬娑″害鏁版嵁鐨勪笢鍖楄崏鍦板厜鑳藉埄鐢ㄧ巼妯″瀷鏋勫缓涓庨獙璇乕J]. 閬ユ劅鎶�鏈笌搴旂敤, 2022, 37(1): 231-243.

Lei Ding,Beibei Shen,Yiliang Liu,Zhenwang Li,Xu Wang,Xiaoping Xin. Constructing and Validating Light Use Efficiency Model of the Grassland in Northeastern China based on Flux Data[J]. Remote Sensing Technology and Application, 2022, 37(1): 231-243.

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鍩轰簬娑″害鏁版嵁鐨勪笢鍖楄崏鍦板厜鑳藉埄鐢ㄧ巼妯″瀷鏋勫缓涓庨獙璇�

Constructing and Validating Light Use Efficiency Model of the Grassland in Northeastern China based on Flux Data

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