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Animal Species Recognition with Deep Convolutional Neural Networks from Ecological Camera Trap Images.

Autor: Binta Islam S; Ingram School of Engineering, Texas State University, San Marcos, TX 78666, USA., Valles D; Ingram School of Engineering, Texas State University, San Marcos, TX 78666, USA., Hibbitts TJ; Natural Resources Institute, Texas A&M University, College Station, TX 77843, USA.; Biodiversity Research and Teaching Collections, Texas A&M University, College Station, TX 77843, USA., Ryberg WA; Natural Resources Institute, Texas A&M University, College Station, TX 77843, USA., Walkup DK; Natural Resources Institute, Texas A&M University, College Station, TX 77843, USA., Forstner MRJ; Department of Biology, Texas State University, San Marcos, TX 78666, USA.

Publikováno v: Animals : an open access journal from MDPI [Animals (Basel)] 2023 May 02; Vol. 13 (9). Date of Electronic Publication: 2023 May 02.

Phylogeographic structure of the dunes sagebrush lizard, an endemic habitat specialist.

Autor: Chan LM; Department of Biology, Pacific University, Forest Grove, Oregon, United States of America., Painter CW; Endangered Species Program, New Mexico Department of Game and Fish, Santa Fe, New Mexico, United States of America., Hill MT; Albuquerque, New Mexico, United States of America., Hibbitts TJ; Department of Ecology and Conservation Biology, Biodiversity Research and Teaching Collections, Texas A&M University, College Station, Texas, United States of America.; Natural Resources Institute, Texas A&M University, College Station, Texas, United States of America., Leavitt DJ; Natural Resources Program, Naval Facilities Engineering Command South West, San Diego, California, United States of America., Ryberg WA; Natural Resources Institute, Texas A&M University, College Station, Texas, United States of America., Walkup D; Natural Resources Institute, Texas A&M University, College Station, Texas, United States of America., Fitzgerald LA; Department of Ecology and Conservation Biology, Biodiversity Research and Teaching Collections, Texas A&M University, College Station, Texas, United States of America.; EEB PhD Program, Texas A&M University, College Station, Texas, United States of America.

Publikováno v: PloS one [PLoS One] 2020 Sep 16; Vol. 15 (9), pp. e0238194. Date of Electronic Publication: 2020 Sep 16 (Print Publication: 2020).

An Improved Approach for Forecasting Ecological Impacts from Future Drilling in Unconventional Shale Oil and Gas Plays.

Autor: Wolaver BD; Bureau of Economic Geology, Jackson School of Geosciences, The University of Texas at Austin, Austin, TX, 78758, USA. brad.wolaver@beg.utexas.edu., Pierre JP; Bureau of Economic Geology, Jackson School of Geosciences, The University of Texas at Austin, Austin, TX, 78758, USA., Ikonnikova SA; Bureau of Economic Geology, Jackson School of Geosciences, The University of Texas at Austin, Austin, TX, 78758, USA., Andrews JR; Bureau of Economic Geology, Jackson School of Geosciences, The University of Texas at Austin, Austin, TX, 78758, USA., McDaid G; Bureau of Economic Geology, Jackson School of Geosciences, The University of Texas at Austin, Austin, TX, 78758, USA., Ryberg WA; Texas A&M Natural Resources Institute, College Station, TX, 77843, USA., Hibbitts TJ; Texas A&M Natural Resources Institute, College Station, TX, 77843, USA.; Department of Wildlife and Fisheries Sciences, Biodiversity Research and Teaching Collections, Texas A&M University, College Station, TX, 77843, USA., Duran CM; The Nature Conservancy, San Antonio, TX, 78215, USA., Labay BJ; Department of Integrative Biology, College of Natural Sciences, The University of Texas at Austin, Austin, TX, 78712, USA.; Siglo Group, Austin, TX, 78702, USA., LaDuc TJ; Department of Integrative Biology, College of Natural Sciences, The University of Texas at Austin, Austin, TX, 78712, USA.

Publikováno v: Environmental management [Environ Manage] 2018 Aug; Vol. 62 (2), pp. 323-333. Date of Electronic Publication: 2018 Apr 13.