2019
DOI: 10.1016/j.agrformet.2019.107705
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Leaf area index of Caatinga biome and its relationship with hydrological and spectral variables

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Cited by 21 publications
(8 citation statements)
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“…We assessed the development of vegetation during the study period through photographic records (Figure 3) taken with a NIKON D7200 SRLD camera, always at the same location and at the same position (height and angle). The association of vegetation aspect (from photographs) and density was supported by the study developed by [41] for the Caatinga vegetation, and applied with the same goal by [5] in our study site. The canopy density was used as a proxy to LAI to separate the different stages of canopy development and evaluate the role of vegetation in the redistribution of rainfall particles in the throughfall.…”
Section: Canopy Development Stagessupporting
confidence: 52%
“…We assessed the development of vegetation during the study period through photographic records (Figure 3) taken with a NIKON D7200 SRLD camera, always at the same location and at the same position (height and angle). The association of vegetation aspect (from photographs) and density was supported by the study developed by [41] for the Caatinga vegetation, and applied with the same goal by [5] in our study site. The canopy density was used as a proxy to LAI to separate the different stages of canopy development and evaluate the role of vegetation in the redistribution of rainfall particles in the throughfall.…”
Section: Canopy Development Stagessupporting
confidence: 52%
“…We showed that the positive effect of plant cover on multifunctionality is also evident at the local scale, in locations subject to the same environmental conditions. Plant cover can ameliorate stressful conditions in areas that are susceptible to droughts because it influences local factors that are essential to ecosystem functioning in drylands (de Almeida et al, 2019). The positive relationship between soil moisture and vegetation, for example, is stronger in drier than in wetter ecosystems (D'Odorico et al, 2007).…”
Section: Discussion'mentioning
confidence: 99%
“…In large areas (like in present study), remote sensing-based vegetation indices (VI) are a key tool for this purpose. VI that make uses red and near infrared wavelengths in their calculations, such as the EVI, are very sensitivity to plant leaf area [92][93][94] and photosynthetic pigments [95][96][97] variations, which in turn, can be strongly affected by drought, heat, and excessive irradiance. In this sense, using the EVI conilon plantations is particularly useful to reflect some possible physiological disorders caused by drought and heat, for instance, fall of leaves, pigment degradation, and limited nutrient absorption capacity.…”
Section: Detection Of the Drought And Heat Effects Over Coffee Plantamentioning
confidence: 99%