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Machine learning based estimation of land productivity in the contiguous US using biophysical predictors 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (7)
作者:  Yang, Pan;  Zhao, Qiankun;  Cai, Ximing
收藏  |  浏览/下载:11/0  |  提交时间:2020/08/18
land productivity  marginal land  land use  machine learning  
Are biodiversity losses valued differently when they are caused by human activities? A meta-analysis of the non-use valuation literature 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (7)
作者:  Nobel, Anne;  Lizin, Sebastien;  Brouwer, Roy;  Bruns, Stephan B.;  Stern, David, I;  Malina, Robert
收藏  |  浏览/下载:12/0  |  提交时间:2020/08/18
biodiversity  non-use values  willingness-to-pay  climate change  meta-analysis  
Finding common ground: agreement on increasing wildfire risk crosses political lines 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (6)
作者:  Hartter, Joel;  Hamilton, Lawrence C.;  Ducey, Mark J.;  Boag, Angela E.;  Salerno, Jonathan D.;  Christoffersen, Nils D.;  Oester, Paul T.;  Palace, Michael W.;  Stevens, Forrest R.
收藏  |  浏览/下载:11/0  |  提交时间:2020/08/18
wildfire  forest management  climate change  dry forests  northeast Oregon  
Protein-structure prediction gets real 期刊论文
NATURE, 2020, 577 (7792) : 627-628
作者:  Pillai, Arvind S.;  Chandler, Shane A.;  Liu, Yang;  Signor, Anthony, V;  Cortez-Romero, Carlos R.;  Benesch, Justin L. P.;  Laganowsky, Arthur;  Storz, Jay F.;  Hochberg, Georg K. A.;  Thornton, Joseph W.
收藏  |  浏览/下载:10/0  |  提交时间:2020/07/03

Two threads of research in the quest for methods that predict the 3D structures of proteins from their amino-acid sequences have become fully intertwined. The result is a leap forward in the accuracy of predictions.


  
Leveraging machine learning for predicting flash flood damage in the Southeast US 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (2)
作者:  Alipour, Atieh;  Ahmadalipour, Ali;  Abbaszadeh, Peyman;  Moradkhani, Hamid
收藏  |  浏览/下载:7/0  |  提交时间:2020/07/02
flash flood  risk  flood damage  machine learning  
Monitoring hydropower reliability in Malawi with satellite data and machine learning 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (1)
作者:  Falchetta, Giacomo;  Kasamba, Chisomo;  Parkinson, Simon C.
收藏  |  浏览/下载:8/0  |  提交时间:2020/07/02
hydroelectricity  vulnerability  extreme hydroclimatic events  energy-climate-water nexus  random forests  remote sensing  
Predict science to improve science 期刊论文
SCIENCE, 2019, 366 (6464) : 428-429
作者:  DellaVigna, Stefano;  Pope, Devin;  Vivalt, Eva
收藏  |  浏览/下载:9/0  |  提交时间:2019/11/27
Vulnerability of the industrialized microbiota 期刊论文
SCIENCE, 2019, 366 (6464) : 444-+
作者:  Sonnenburg, Justin L.;  Sonnenburg, Erica D.
收藏  |  浏览/下载:6/0  |  提交时间:2019/11/27
Coastal Alaska forests under climate change: What to expect? 期刊论文
FOREST ECOLOGY AND MANAGEMENT, 2019, 448: 432-444
作者:  Ma, Wu;  Zhou, Xiaoping;  Liang, Jingjing;  Zhou, Mo
收藏  |  浏览/下载:9/0  |  提交时间:2019/11/27
Matrix growth model  Climate change  Forest dynamics  Disturbances  Temperate rainforest  
Procedural and distributive justice inform subjectivity regarding wind power: A case from Rio Grande do Norte, Brazil 期刊论文
ENERGY POLICY, 2019, 132: 185-195
作者:  Frate, Claudio Albuquerque;  Brannstrom, Christian;  Girao de Morais, Marcus Vinicius;  Caldeira-Pires, Armando de Azevedo
收藏  |  浏览/下载:7/0  |  提交时间:2019/11/27
Renewable  Wind energy  Justice  Acceptance  Brazil  Q-method