Detalhe da pesquisa
1.
Ecological forecasting of tree growth: Regional fusion of tree-ring and forest inventory data to quantify drivers and characterize uncertainty.
Glob Chang Biol
; 28(7): 2442-2460, 2022 Apr.
Artigo
em Inglês
| MEDLINE | ID: mdl-35023229
2.
Trends in bird abundance differ among protected forests but not bird guilds.
Ecol Appl
; 31(6): e02377, 2021 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-33988277
3.
Towards connecting biodiversity and geodiversity across scales with satellite remote sensing.
Glob Ecol Biogeogr
; 28(5): 548-556, 2019 May.
Artigo
em Inglês
| MEDLINE | ID: mdl-31217748
4.
Spatial Factor Models for High-Dimensional and Large Spatial Data: An Application in Forest Variable Mapping.
Stat Sin
; 29: 1155-1180, 2019.
Artigo
em Inglês
| MEDLINE | ID: mdl-33311955
5.
Variable effects of climate on forest growth in relation to climate extremes, disturbance, and forest dynamics.
Ecol Appl
; 27(4): 1082-1095, 2017 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-28182303
6.
Seedling survival responses to conspecific density, soil nutrients, and irradiance vary with age in a tropical forest.
Ecology
; 97(9): 2406-2415, 2016 Sep.
Artigo
em Inglês
| MEDLINE | ID: mdl-27859074
7.
Predicting tree biomass growth in the temperate-boreal ecotone: Is tree size, age, competition, or climate response most important?
Glob Chang Biol
; 22(6): 2138-51, 2016 Jun.
Artigo
em Inglês
| MEDLINE | ID: mdl-26717889
8.
Landscape fragmentation affects responses of avian communities to climate change.
Glob Chang Biol
; 21(8): 2942-53, 2015 Aug.
Artigo
em Inglês
| MEDLINE | ID: mdl-25644514
9.
Joint species distribution models with imperfect detection for high-dimensional spatial data.
Ecology
; 104(9): e4137, 2023 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-37424187
10.
Highly Scalable Bayesian Geostatistical Modeling via Meshed Gaussian Processes on Partitioned Domains.
J Am Stat Assoc
; 117(538): 969-982, 2022.
Artigo
em Inglês
| MEDLINE | ID: mdl-35935897
11.
Adaptive Gaussian Predictive Process Models for Large Spatial Datasets.
Environmetrics
; 22(8): 997-1007, 2011 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-22298952
12.
Over half of western United States' most abundant tree species in decline.
Nat Commun
; 12(1): 451, 2021 01 19.
Artigo
em Inglês
| MEDLINE | ID: mdl-33469023
13.
Hierarchical spatial modeling of additive and dominance genetic variance for large spatial trial datasets.
Biometrics
; 65(2): 441-51, 2009 Jun.
Artigo
em Inglês
| MEDLINE | ID: mdl-18759829
14.
Improving the performance of predictive process modeling for large datasets.
Comput Stat Data Anal
; 53(8): 2873-2884, 2009 Jun 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-20016667
15.
Efficient algorithms for Bayesian Nearest Neighbor Gaussian Processes.
J Comput Graph Stat
; 28(2): 401-414, 2019.
Artigo
em Inglês
| MEDLINE | ID: mdl-31543693
16.
A Case Study Competition Among Methods for Analyzing Large Spatial Data.
J Agric Biol Environ Stat
; 24(3): 398-425, 2019.
Artigo
em Inglês
| MEDLINE | ID: mdl-31496633
17.
Assessing impact of exogenous features on biotic phenomena in the presence of strong spatial dependence: A lake sturgeon case study in natural stream settings.
PLoS One
; 13(12): e0204150, 2018.
Artigo
em Inglês
| MEDLINE | ID: mdl-30517091
18.
spBayes: An R Package for Univariate and Multivariate Hierarchical Point-referenced Spatial Models.
J Stat Softw
; 19(4): 1-24, 2007 Apr.
Artigo
em Inglês
| MEDLINE | ID: mdl-21494410
19.
On nearest-neighbor Gaussian process models for massive spatial data.
Wiley Interdiscip Rev Comput Stat
; 8(5): 162-171, 2016.
Artigo
em Inglês
| MEDLINE | ID: mdl-29657666
20.
Hierarchical Nearest-Neighbor Gaussian Process Models for Large Geostatistical Datasets.
J Am Stat Assoc
; 111(514): 800-812, 2016.
Artigo
em Inglês
| MEDLINE | ID: mdl-29720777