dry tropical forest
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2022 ◽  
Vol 198 ◽  
pp. 104681
Author(s):  
José Weverton Almeida-Bezerra ◽  
Viviane Bezerra da Silva ◽  
Maria Arlene Pessoa da Silva ◽  
Felicidade Caroline Rodrigues ◽  
Edy Sousa de Brito ◽  
...  

2022 ◽  
pp. 125923
Author(s):  
Itallo Romany Nunes Menezes ◽  
José Roberto Vieira Aragão ◽  
Mariana Alves Pagotto ◽  
Claudio Sergio Lisi

2021 ◽  
Vol 14 (6) ◽  
pp. 3775
Author(s):  
Joélia Natália Bezerra da Silva ◽  
Josiclêda Domiciano Galvíncio ◽  
Rodrigo De Queiroga Miranda ◽  
Magna Soelma Besera de Moura

R E S U M OArtigo recebido em XX/XX/2021 e aceito em XX/XX/2021 Os estudos da troca de energia nos ecossistemas fornecem informações importantes para a compreensão da Produtividade nos ecossistemas. A vegetação é um dos principais elementos da biosfera terrestre sendo responsável pela avaliação e funcionamento da atividade fotossintética bem como para as trocas de carbono entre os ecossistemas e a atmosfera. Neste contexto, a PPB é utilizada para avaliar, planejar e gerenciar os recursos ambientais frente as mudanças climáticas globais. Esse estudo tem por objetivo avaliar a Produção Primária Bruta no Bioma da Caatinga em Pernambuco. O estudo foi realizado na área de Floresta Tropical Sazonalmente Seca, a Caatinga no Estado de Pernambuco. Utilizou-se a refletância da superfície do produto (MOD09) a partir do MODIS/TERRA satélite do sensor, a refletância de superfície (SR) Landsat-8 e a reflectancia a superficie do fieldspec. Foram adquiridas nove cenas para o produto (MOD09), seis cenas para a refletância de superfície (SR) Landsat-8 e as mesmas datas das imagens foram utilizados os espectros de campo (filedspec). Foi realizada a seleção de amostras espectrais na imagem (espectros de referência), considerando o ponto espectral do local de coleta. Os modelos foram construídos a partir das combinações das bandas (ρ_350, ρ_351, ρ_352, ..., ρ_2500) suas transformações (ρ, 1/ρ, ln⁡(ρ), log_10⁡(ρ), √ρ, ρ^2, e^ρ). Os desempenhos dos modelos foram avaliados utilizando dois índices estatísticos, um de tendência (coeficiente de Pearson– r) e outro de desvio (Erro médio quadrático (RMSE– RMSE), e o PBIAS. Os resultados apontaram que os modelos calibrados demostraram bom desempenho na previsão com o uso das bandas do sensor OLI/Landsat 8 e do MODIS/Terra (MOD09GA).  Models of Gross Primary Productivity in a seasonally dry tropical forest area using reflectance data from the Caatinga vegetationA B S T R A C TThe studies of energy exchange in ecosystems provide important information for the understanding of Productivity in ecosystems. Vegetation is one of the main elements of the terrestrial biosphere and is responsible for the evaluation and functioning of photosynthetic activity as well as for carbon exchanges between ecosystems and the atmosphere. In this context, a PPB is used to assess, plan and manage environmental resources in the face of global climate change. This study aims to evaluate a Gross Primary Production in the Caatinga Biome in Pernambuco. The study was carried out in the Seasonally Dry Tropical Forest, a Caatinga in the State of Pernambuco. Use the product's surface reflectance (MOD09) from the sensor's MODIS / TERRA satellite and the Landsat-8 surface reflectance (SR), nine scenes for the product (MOD09), six scenes for surface reflectance (SR) Landsat-8 and similar data with fieldspec. A selection of spectral members in the image (reference spectra) was carried out, considering the spectral point of the collection site. The models were built from the combinations of the bands (ρ_350, ρ_351, ρ_352, ..., ρ_2500) their transformations (ρ, 1/ρ, ln⁡(ρ), log_10⁡(ρ), √ρ, ρ^2, e^ρ). The performances of the models were taken using two statistical indices, one of trend (Pearson's coefficient - r) and another of deviation (Mean square error (RMSE - RMSE), and PBIAS. The results showed that the calibrated models showed good performance in prediction using the OLI / Landsat 8 and MODIS / Terra (MOD09GA) bands.Keyword: Remote sensing, FieldSpec®3, Caatinga


2021 ◽  
Vol 46 (4) ◽  
pp. 1033-1041
Author(s):  
Lucas C. Majure ◽  
Kasey Pham ◽  
Teodoro Clase

Abstract— Recent fieldwork in the Sierra Martín García in southwestern Dominican Republic has yielded a new species of the American clade Castela (Simaroubaceae), Castela senticosa sp. nov., from seasonally dry tropical forest. This species has been collected from two separate localities, including Môle St. Nicolas in northwestern Haiti in 1929, but until now fertile material with both flowers and fruit was unknown. We provide a photographic plate and illustration, place it phylogenetically using plastome data, and compare it morphologically with close relatives. This increases the number of known species of Castela on Hispaniola from one to two, both of which are endemic but from different clades, and yields another species for the Greater Antilles, a known biodiversity hotspot and clear center of diversification for this group of arid-adapted, thorny shrubs. This work emphasizes that seasonally dry, tropical forests, although often understudied, house as yet undiscovered biodiversity and deserve far more comprehensive studies.


Biotropica ◽  
2021 ◽  
Author(s):  
Christine D. Bacon ◽  
Natalia Gutiérrez‐Pinto ◽  
Suzette Flantua ◽  
Diego Castellanos Suárez ◽  
Carlos Jaramillo ◽  
...  

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