CARACTERÍSTICAS MORFOFISIOLÓGICAS FOLIARES E ESTADO NUTRICIONAL DE SEIS ESPÉCIES LENHOSAS EM FUNÇÃO DA DISPONIBILIDADE DE ÁGUA NO SOLO

The reduction in water availability effects plant physiology and morphology and accounts for changes in metabolism with implications for the development of tree species. The objective of this study was to evaluate the influence of water stress on morphophysiological leaf characteristics and nutritional status of adult plant of gonçalo-alves (Astronium fraxinifolium), guanandi (Calophyllum brasiliense Cambess.), ipê-amarelo (Handroanthus serratifolius (Vahl.), ipê-rosa (Handroanthus impetiginosa (Mart.) Matos.), marupá (Simarouba amara Aubl.) and mogno (Swietenia macrophylla King.) cultivated under rainfed and irrigated conditions, in the irrigation perimeter of Baixo Acaraú, Ceará. The experimental design was a repeated measures, a scheme of sub-divided plots (6 x 2 x 2), the main plot consists of six species, the sub-plot of two water availability (irrigated and rainfed) and the sub-subplots were the evaluation time. The following evaluations were performed during the dry and rainy seasons: foliar concentrations of N, P, K and Na, specific leaf area (AFE), leaf succulence (GS), and relative index of chlorophyll (IRC). The results showed that ipê-amarelo was the most sensitive species in terms of variation of N, P and K concentrations in leaves in response to soil water availability. Regarding AFE, ipê-amarelo, ipê-rosa and mogno were more sensitive to extreme water deficit conditions. The water restriction in the soil causes the decrease of the leaf succulence in the gonçalo alves and mogno. The chlorophyll is directly affected by drought and is related to the higher GS and the lower AFE. As for A/N and A/P, gonçalo-alves was more efficient species, not affected by soil water availability conditions.A redução da disponibilidade hídrica causa efeitos na fisiologia e morfologia das plantas, sendo responsável por alterações no metabolismo, com implicações no desenvolvimento de plantas arbóreas. O objetivo deste trabalho foi avaliar a influência do estresse hídrico no crescimento foliar e estado nutricional em plantas adultas de gonçalo-alves (Astronium fraxinifolium), guanandi (Calophyllum brasiliense Cambess.), ipê-amarelo (Handroanthus serratifolius (Vahl.), ipê-rosa (Handroanthus impetiginosa (Mart.) Matos.), marupá (Simarouba amara Aubl.) e mogno (Swietenia macrophylla King.), cultivadas em condições de sequeiro e irrigadas, no perímetro irrigado do Baixo Acaraú, Ceará. O delineamento experimental adotado foi o de medidas repetidas no tempo, num esquema de parcelas subsubdivididas (6 x 2 x 2), sendo a parcela principal composta por seis espécies, a subparcela por dois regimes hídricos (irrigado e sequeiro) e a subsubparcela pelas épocas de avaliação. Foram determinadas concentrações foliares de N, P e K, além de área foliar específica (AFE), grau de suculência (GS), índice relativo de clorofila (IRC) e eficiência fotossintética no uso de N (A/N) e P (A/P), nas estações seca e chuvosa. Os resultados mostraram que o ipê-amarelo foi a espécie mais sensível quanto à variação das concentrações de N, P e K nas folhas em resposta à disponibilidade de água no solo. Quanto à AFE, ipê-amarelo, ipê-rosa e mogno foram mais sensíveis às condições de déficit hídrico extremo. A restrição hídrica no solo ocasiona a diminuição da suculência foliar no gonçalo-alves e no mogno. O IRC é diretamente afetado pelo déficit hídrico e está relacionado ao maior GS e à menor AFE. Quanto a A/N e A/P, o gonçalo-alves foi a espécie mais eficiente, não sendo afetado pelas condições de disponibilidade hídrica do solo

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

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

Light Availability and Salt Stress on Hazel Sterculia Seedlings

ABSTRACT The objective of this study was to evaluate the effect of light availability and salt stress on the growth and quality of hazel sterculia seedlings. The experiment was conducted with two light conditions – full sun (L1), and 50% shading (L2) – and five salinity levels in the irrigation water – 1.0 (S1), 2.2 (S2), 3.2 (S3), 4.2 (S4), and 5.1 (S5) dS m-1. The environment with 50% shading was the most suitable to produce hazel sterculia seedlings, even under high salinity (5.1 dS m-1). Increasing salinity negatively affects the growth and quality of hazel sterculia seedlings. Therefore, controlling sunlight availability and irrigation water saline conditions increases rooting potential and seedling survival in the field

TROCAS GASOSAS E EFICIÊNCIA DO FOTOSSISTEMA II EM PLANTAS ADULTAS DE SEIS ESPÉCIES FLORESTAIS EM FUNÇÃO DO SUPRIMENTO DE ÁGUA NO SOLO1

RESUMO A redução da disponibilidade hídrica causa efeitos sobre a fotossíntese e o desenvolvimento de espécies arbóreas. O objetivo deste trabalho foi avaliar as trocas gasosas e a eficiência fotoquímica do fotossistema II em plantas adultas de gonçalo-alves (Astronium fraxinifolium Schott.), guanandi (Calophyllum brasiliense Cambess.), ipê-amarelo (Handroanthus serratifolius (Vahl.), ipê-rosa (Handroanthus impetiginosa (Mart.) Matos), marupá (Simarouba amara Aubl.) e mogno (Swietenia macrophylla King.) cultivadas em condições de sequeiro e irrigadas, no Perímetro Irrigado do Baixo Acaraú, Ceará. O delineamento experimental adotado foi o de medidas repetidas no tempo, num esquema de parcelas subsubdivididas (6 x 2 x 3), sendo a parcela principal composta por seis espécies, a subparcela por dois regimes hídricos (irrigado e sequeiro) e a subsubparcela pelas épocas de avaliação. As análises das trocas gasosas foram realizadas em 22/11/2012 (estação seca), 07/02/2013 (data que antecedeu o período chuvoso) e 17/05/2013 (estação chuvosa). As espécies mogno, guanandi e ipê-amarelo mostraram-se mais sensíveis ao déficit hídrico, em comparação com as outras espécies, o que foi evidenciado pelas maiores reduções nas trocas gasosas e na eficiência fotoquímica do fotossistema II. O ipê-rosa, o marupá e o gonçalo-alves mostraram-se mais adaptados às condições de baixa disponibilidade hídrica do solo