Evolução do uso do solo e agronegócio na região oeste do Estado da Bahia.

Este artigo apresenta uma análise da evolução do uso do solo na região de Barreiras. Utilizou-se imagens de satélite Landsat-5 (1984 e 2008) e imagens SRTM, processadas no programa Spring. Foram considerados a implantação do agronegócio na região e aspectos do meio físico. A declividade predominante é inferior a 5%, exceto nas bordas dos planaltos; a altitude está em torno de 500-700 metros. A introdução do agronegócio trouxe mudanças espaciais na área, com crescimento da área urbana e alterações na distribuição da vegetação, com importante da área agrícola e redução da vegetação de cerrado

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

ATLANTIC MAMMAL TRAITS: a data set of morphological traits of mammals in the Atlantic Forest of South America

Univ Estadual Paulista, UNESP, Dept Ecol, Inst Biociencias, BR-13506900 Rio Claro, SP, BrazilUniv Fed Santa Catarina, Ctr Ciencias Biol, Dept Ecol & Zool, Florianopolis, SC, Brazil|Caipora Cooperat, Florianopolis, SC, BrazilUniv Estadual Santa Cruz, Programa Posgrad Ecol & Conservac Biodiversidade, Lab Ecol Aplicada Conservacao, Ilheus, BA, BrazilUniv Estadual Santa Cruz, CMARF, Ilheus, BA, BrazilUniv Brasilia, Dept Ecol, Inst Ciencias Biol, Lab Ecol Vertebrados, Brasilia, DF, BrazilUniv Fed Santa Maria, Dept Ecol & Evolut, Santa Maria, RS, BrazilUniv Sao Paulo, Inst Biociencias, Dept Zool, Sao Paulo, SP, BrazilUniv Fed Espirito Santo, Ctr Ciencias Humanas & Nat, Dept Ciencias Biol, Vitoria, ES, BrazilUniv Fed Minas Gerais, Inst Ciencias Biol, Dept Biol Geral, Belo Horizonte, MG, BrazilUniv Fed Mato Grosso de Sul, Inst Biociencias, Campo Grande, MS, BrazilUniv Fed Parana, Dept Zool, Curitiba, Parana, BrazilUniv Fed Parana, Programa Posgrad Ecol & Conservcao, Curitiba, Parana, BrazilUniv Estado Rio de Janeiro, Dept Ecol, Rio De Janeiro, RJ, BrazilUniv Estadual Paulista, UNESP, Inst Biociencias, Dept Zool, Rio Claro, SP, BrazilUniv Extremo Sul Catarinense, Programa Posgrad Ciencias Ambientais, Criciuma, SC, BrazilUniv Sao Paulo, ESALQ, Dept Ciencias Biol, Piracicaba, SP, BrazilUniv Nacl Misiones, CONICET, Inst Biol Subtrop, Puerto Iguazu, Misiones, ArgentinaAsociac Civil Ctr Invest Bosque Atlantico, Puerto Iguazu, Misiones, ArgentinaFIOCRUZ Amazonas, Inst Leonidas & Maria Deane, Manaus, Amazonas, BrazilUniv Estadual Paulista, UNESP, Dept Zootecnia, Jaboticabal, SP, BrazilField Museum Nat Hist, Integrated Res Ctr, Chicago, IL 60605 USAUniv Fed Pernambuco, Ctr Biociencias, Dept Zool, Lab Ciencia Aplicada Conservacao Biodiversidade, Recife, PE, BrazilInst Chico Mendes Conservacao Biodiversidade, Ctr Nacl Pesquisa & Conservacao Mamiferos Carnivo, Sao Paulo, BrazilUniv Vale Rio dos Sinos, Sao Leopoldo, RS, BrazilUniv Reg Cariri, Dept Biol, Lab Ecol Mamiferos, Crato, CE, BrazilUniv Fed Rio de Janeiro, Dept Ecol, Lab Vertebrados, Rio De Janeiro, RJ, BrazilUniv Federal Mato Grosso do Sul, Programa Posgrad Ecol & Conservacao, Campo Grande, MS, BrazilIPE, Nazare Paulista, SP, BrazilUniv Fed Minas Gerais, Programa Posgrad Zool, Belo Horizonte, MG, BrazilUniv Estado Minas Gerais, Dept Ciencias Biol, Ibirite, MG, BrazilPREA, Programa Educ Ambiental, Juiz De Fora, MG, BrazilChinese Acad Sci, Inst Zool, Key Lab Zool Systemat and Evolut, Beijing, Peoples R ChinaMinist Salud Nacion, Inst Nacl Med Trop INMeT, Puerto Iguazu, Misiones, ArgentinaUniv Fed Vicosa, Dept Engn Florestal, Vicosa, MG, BrazilUniv Fed Goias, Inst Biociencias, Jatai, Go, BrazilInst Chico Mendes Conservacao Biodiversidade ICMB, Ctr Nacl Pesquisa & Conservacao Primatas Brasilei, Joao Pessoa, PB, BrazilCtr Rescate Fauna Silvestre Guira Oga, Puerto Iguazu, ArgentinaFdn Hist Nat Felix de Azara, Buenos Aires, ArgentinaProjeto Carnivoros Iguacu, Foz Do Iguacu, PR, BrazilUniv Estadual Paulista, Dept Med Vet Prevent & Reprod Anim, Fac Ciencias Agr & Vet Jaboticabal, Jaboticabal, SP, BrazilUniv Fed Integracao Latinoamer, Inst Latinoamer Ciencias Vida & Nat, Foz Do Iguacu, PR, BrazilUniv Fed Sao Paulo, Dept Ciencias Ambientais, Diadema, SP, BrazilUniv Fed Paraiba, Dept Sistemat & Ecol, Lab Mamiferos, Joao Pessoa, Paraiba, BrazilIUCN Peccary Specialist Grp, Campo Grande, MS, BrazilWWF Brazil, Campo Grande, MS, BrazilChicago State Univ, Dept Biol Sci, Chicago, IL USAUniv Fed Rio de Janeiro, Nucleo Ecol & Desenvolvimento Socioambiental Maca, Macae, RJ, BrazilUniv Vila Velha, Programa Posgrad Ecol Ecossistemas, Vila Velha, ES, BrazilUniv Fed Rio de Janeiro, Museu Nacl, Dept Vertebrados, Rio De Janeiro, RJ, BrazilUniv Fed Bahia, Programa Posgrad Ecol, Salvador, BA, BrazilUniv Fed Paraiba, Dept Sistemat & Ecol, Programa Posgrad Ciencias Biol Zool, Lab Mamiferos, Joao Pessoa, Paraiba, BrazilUniv Fed Sao Paulo, Dept Ciencias Ambientais, Diadema, SP, BrazilWeb of Scienc

Neotropical xenarthrans: a dataset of occurrence of xenarthran species in the Neotropics.

International audienceXenarthrans—anteaters, sloths, and armadillos—have essential functions forecosystem maintenance, such as insect control and nutrient cycling, playing key roles as ecosys-tem engineers. Because of habitat loss and fragmentation, hunting pressure, and conflicts withdomestic dogs, these species have been threatened locally, regionally, or even across their fulldistribution ranges. The Neotropics harbor 21 species of armadillos, 10 anteaters, and 6 sloths.Our data set includes the families Chlamyphoridae (13), Dasypodidae (7), Myrmecophagidae(3), Bradypodidae (4), and Megalonychidae (2). We have no occurrence data onDasypus pilo-sus(Dasypodidae). Regarding Cyclopedidae, until recently, only one species was recognized,but new genetic studies have revealed that the group is represented by seven species. In thisdata paper, we compiled a total of 42,528 records of 31 species, represented by occurrence andquantitative data, totaling 24,847 unique georeferenced records. The geographic range is fromthe southern United States, Mexico, and Caribbean countries at the northern portion of theNeotropics, to the austral distribution in Argentina, Paraguay, Chile, and Uruguay. Regardinganteaters,Myrmecophaga tridactylahas the most records (n=5,941), andCyclopessp. havethe fewest (n=240). The armadillo species with the most data isDasypus novemcinctus(n=11,588), and the fewest data are recorded forCalyptophractus retusus(n=33). Withregard to sloth species,Bradypus variegatushas the most records (n=962), andBradypus pyg-maeushas the fewest (n=12). Our main objective with Neotropical Xenarthrans is to makeoccurrence and quantitative data available to facilitate more ecological research, particularly ifwe integrate the xenarthran data with other data sets of Neotropical Series that will become available very soon (i.e., Neotropical Carnivores, Neotropical Invasive Mammals, andNeotropical Hunters and Dogs). Therefore, studies on trophic cascades, hunting pressure,habitat loss, fragmentation effects, species invasion, and climate change effects will be possiblewith the Neotropical Xenarthrans data set. Please cite this data paper when using its data inpublications. We also request that researchers and teachers inform us of how they are usingthese data

NEOTROPICAL CARNIVORES: a data set on carnivore distribution in the Neotropics

Mammalian carnivores are considered a key group in maintaining ecological health and can indicate potential ecological integrity in landscapes where they occur. Carnivores also hold high conservation value and their habitat requirements can guide management and conservation plans. The order Carnivora has 84 species from 8 families in the Neotropical region: Canidae; Felidae; Mephitidae; Mustelidae; Otariidae; Phocidae; Procyonidae; and Ursidae. Herein, we include published and unpublished data on native terrestrial Neotropical carnivores (Canidae; Felidae; Mephitidae; Mustelidae; Procyonidae; and Ursidae). NEOTROPICAL CARNIVORES is a publicly available data set that includes 99,605 data entries from 35,511 unique georeferenced coordinates. Detection/non-detection and quantitative data were obtained from 1818 to 2018 by researchers, governmental agencies, non-governmental organizations, and private consultants. Data were collected using several methods including camera trapping, museum collections, roadkill, line transect, and opportunistic records. Literature (peer-reviewed and grey literature) from Portuguese, Spanish and English were incorporated in this compilation. Most of the data set consists of detection data entries (n = 79,343; 79.7%) but also includes non-detection data (n = 20,262; 20.3%). Of those, 43.3% also include count data (n = 43,151). The information available in NEOTROPICAL CARNIVORES will contribute to macroecological, ecological, and conservation questions in multiple spatio-temporal perspectives. As carnivores play key roles in trophic interactions, a better understanding of their distribution and habitat requirements are essential to establish conservation management plans and safeguard the future ecological health of Neotropical ecosystems. Our data paper, combined with other large-scale data sets, has great potential to clarify species distribution and related ecological processes within the Neotropics. There are no copyright restrictions and no restriction for using data from this data paper, as long as the data paper is cited as the source of the information used. We also request that users inform us of how they intend to use the data