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Finding plausible and diverse variants of a climate model. Part II: development and validation of methodology 期刊论文
CLIMATE DYNAMICS, 2019, 53: 847-877
作者:  Karmalkar, Ambarish V.;  Sexton, David M. H.;  Murphy, James M.;  Booth, Ben B. B.;  Rostron, John W.;  McNeall, Doug J.
收藏  |  浏览/下载：7/0  |  提交时间：2019/11/27
Uncertainty  Perturbed parameter ensemble  Seamless assessment  Statistical emulation  Filtering parameter space  Plausible model variants  
Woody vegetation dynamics in the tropical and subtropical Andes from 2001 to 2014: Satellite image interpretation and expert validation 期刊论文
GLOBAL CHANGE BIOLOGY, 2019, 25 (6) : 2112-2126
作者:  Mitchell Aide, T.;  Ricardo Grau, H.;  Graesser, Jordan;  Jose Andrade-Nunez, Maria;  Araoz, Ezequiel;  Barros, Ana P.;  Campos-Cerqueira, Marconi;  Chacon-Moreno, Eulogio;  Cuesta, Francisco;  Espinoza, Raul;  Peralvo, Manuel;  Polk, Molly H.;  Rueda, Ximena;  Sanchez, Adriana;  Young, Kenneth R.;  Zarba, Lucia;  Zimmerer, Karl S.
收藏  |  浏览/下载：14/0  |  提交时间：2019/11/26
agriculture  coupled natural human systems  expert validation  forest loss and regeneration  MODIS satellite imagery  
Rainfall monitoring network design using conditioned Latin hypercube sampling and satellite precipitation estimates: An application in the ungauged Ecuadorian Amazon 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2019, 39 (4) : 2209-2226
作者:  Contreras, Juan;  Ballari, Daniela;  de Bruin, Sytze;  Samaniego, Esteban
收藏  |  浏览/下载：6/0  |  提交时间：2019/11/26
conditioned Latin hypercube sampling  Ecuadorian Amazon  poorly accessible areas  rain gauge network  satellite precipitation data  spatio-temporal monitoring  ungauged areas  
Estimate global risks of a forest disease under current and future climates using species distribution model and simple thermal model Pine Wilt disease as a model case 期刊论文
FOREST ECOLOGY AND MANAGEMENT, 2018, 409: 343-352
作者:  Ikegami, Makihiko;  Jenkins, Thomas A. R.
收藏  |  浏览/下载：5/0  |  提交时间：2019/04/09
Pine Wilt Disease  Species distribution model  Climate change  Forest pathology  Pest risk analysis