scholarly journals Modelos da Produtividade Primária Bruta em área de floresta tropical em sazonalmente seca, usando dados reflectância da vegetação de caatinga

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

2019 ◽  
Author(s):  
Camila Martínez ◽  
◽  
Carlos Jaramillo ◽  
Jhonatan Martínez Murcia ◽  
Federico Moreno ◽  
...  

2021 ◽  
Author(s):  
Souparna Chakrabarty ◽  
Sheetal Sharma ◽  
Shatarupa Ganguly ◽  
Asmi Jezeera ◽  
Neha Mohanbabu ◽  
...  

AbstractLeaf phenology based classification of woody species into discrete evergreen and deciduous categories is widely used in ecology, but these categories hide important variation in leaf phenological behaviour. Few studies have examined the continuous nature of deciduousness and our understanding of variation in quantitative estimates of leaf shedding behaviour and the causes and consequences of this is limited. In this study we monitored leaf phenology in 75 woody species from a seasonally dry tropical forest to quantify three quantitative measures of deciduousness, namely: maximum canopy loss, duration of deciduousness, and average canopy loss. Based on proposed drought tolerance and drought avoidance strategies of evergreen and deciduous species, respectively, we tested whether the quantitative measures of deciduousness were related to leaf functional traits. Additionally, to understand the functional consequences of variation in deciduousness we examined relationships with the timing of leaf flushing and senescing. We found wide and continuous variation in quantitative measures of deciduousness in these coexisting species. Variation in deciduousness was related to leaf function traits, and the timing of leaf flushing. Along a continuous axis ranging from evergreen to deciduous species, increasing deciduousness was associated with more acquisitive leaf functional traits, with lower leaf mass per area and leaf dry matter content, and greater leaf nitrogen content. These results indicate that the continuous nature of deciduousness is an important component of resource acquisition strategies in woody species from seasonally dry forests.


2019 ◽  
Vol 12 (2) ◽  
pp. 173-182
Author(s):  
Vitaly K. Avilov ◽  
Dmitry G. Ivanov ◽  
Konstantin K. Avilov ◽  
Ivan P. Kotlov ◽  
Nguyen Van Thinh ◽  
...  

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

Biotropica ◽  
2019 ◽  
Vol 51 (6) ◽  
pp. 802-816
Author(s):  
Janet Franklin ◽  
Lucas C. Majure ◽  
Yuley Encarnación ◽  
Teodoro Clase ◽  
Hodali Almonte‐Espinosa ◽  
...  

2014 ◽  
Vol 39 (1) ◽  
pp. 260-267 ◽  
Author(s):  
Jefferson G. Carvalho-Sobrinho ◽  
William S. Alverson ◽  
Aline C. Mota ◽  
Marlon C. Machado ◽  
David A. Baum

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