Naikoa Aguilar-Amuchastegui, Ph.D. - Publications

2006 The University of Nebraska - Lincoln, Lincoln, NE 
Remote Sensing, Ecology Biology, Forestry and Wildlife Agriculture

9/13 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2014 Aguilar-Amuchastegui N, Riveros JC, Forrest JL. Identifying areas of deforestation risk for REDD+ using a species modeling tool. Carbon Balance and Management. 9: 10. PMID 25489336 DOI: 10.1186/S13021-014-0010-5  0.52
2013 Mulatu KA, Herold M, Koster H, Aguilar-Amuchastegui N, Thompson D, Mora B, Wijaya A, Skutsch M, Calmel M. Workshop Report: Science solutions to policy challenges for evolving REDD+ measuring, reporting and verification requirements: Report from a multistakeholder workshop Carbon Management. 4: 587-590. DOI: 10.4155/Cmt.13.59  0.52
2013 Muss JD, Aguilar-Amuchastegui N, Mladenoff DJ, Henebry GM. Analysis of waveform lidar data using shape-based metrics Ieee Geoscience and Remote Sensing Letters. 10: 106-110. DOI: 10.1109/Lgrs.2012.2194472  0.52
2012 Gardner TA, Burgess ND, Aguilar-Amuchastegui N, Barlow J, Berenguer E, Clements T, Danielsen F, Ferreira J, Foden W, Kapos V, Khan SM, Lees AC, Parry L, Roman-Cuesta RM, Schmitt CB, et al. A framework for integrating biodiversity concerns into national REDD+ programmes Biological Conservation. 154: 61-71. DOI: 10.1016/J.Biocon.2011.11.018  0.52
2010 Hoffman JD, Aguilar-Amuchastegui N, Tyre AJ. Use of simulated data from a process-based habitat model to evaluate methods for predicting species occurrence Ecography. 33: 656-666. DOI: 10.1111/J.1600-0587.2009.05495.X  0.52
2009 Wiens J, Sutter R, Anderson M, Blanchard J, Barnett A, Aguilar-Amuchastegui N, Avery C, Laine S. Selecting and conserving lands for biodiversity: The role of remote sensing Remote Sensing of Environment. 113: 1370-1381. DOI: 10.1016/J.Rse.2008.06.020  0.52
2008 Aguilar-Amuchastegui N, Henebry GM. Characterizing tropical forest spatio-temporal heterogeneity using the wide dynamic range vegetation index (WDRVI) International Journal of Remote Sensing. 29: 7285-7291. DOI: 10.1080/01431160802348093  0.52
2007 Aguilar-Amuchastegui N, Henebry GM. Assessing sustainability indicators for tropical forests: Spatio-temporal heterogeneity, logging intensity, and dung beetle communities Forest Ecology and Management. 253: 56-67. DOI: 10.1016/J.Foreco.2007.07.004  0.52
2006 Aguilar-Amuchastegui N, Henebry GM. Monitoring sustainability in tropical forests: How changes in canopy spatial pattern can indicate forest stands for biodiversity surveys Ieee Geoscience and Remote Sensing Letters. 3: 329-333. DOI: 10.1109/Lgrs.2006.871745  0.52
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2019 Funk JM, Aguilar-Amuchastegui N, Baldwin-Cantello W, Busch J, Chuvasov E, Evans T, Griffin B, Harris N, Ferreira MN, Petersen K, Phillips O, Soares MG, van der Hoff RJ. Securing the climate benefits of stable forests Climate Policy. 19: 845-860. DOI: 10.1080/14693062.2019.1598838  0.01
2019 Goodman RC, Harman Aramburu M, Gopalakrishna T, Putz FE, Gutiérrez N, Mena Alvarez JL, Aguilar-Amuchastegui N, Ellis PW. Carbon emissions and potential emissions reductions from low-intensity selective logging in southwestern Amazonia Forest Ecology and Management. 439: 18-27. DOI: 10.1016/J.Foreco.2019.02.037  0.01
2016 Shapiro AC, Aguilar-Amuchastegui N, Hostert P, Bastin JF. Using fragmentation to assess degradation of forest edges in Democratic Republic of Congo. Carbon Balance and Management. 11: 11. PMID 27398090 DOI: 10.1186/s13021-016-0054-9  0.01
2015 Joshi AR, Tegel K, Manandhar U, Aguilar-Amuchastegui N, Dinerstein E, Eivazi A, Gamble L, Gautam B, Gunia K, Gunia M, Hall D, Hämäläinen J, Hawkes M, Junttila V, Gautam SK, et al. An accurate REDD+ reference level for Terai Arc Landscape, Nepal using LiDAR assisted Multi-source Programme (LAMP) Banko Janakari. 24: 23-33. DOI: 10.3126/BANKO.V24I1.13486  0.01
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