2021
DOI: 10.1016/j.agrformet.2020.108215
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Remotely sensed phenological heterogeneity of restored wetlands: linking vegetation structure and function

Abstract: Seasonal phenological dynamics of vegetation hold important clues on ecosystem performance towards management goals, like carbon uptake, and thus should be considered in projections of their targeted services. However, in wetlands spatio-temporal heterogeneity due to mixing of open water, soil, green and dead vegetation makes it difficult to generalize ecosystem functioning across different regions. Remote sensing observations can provide spatially-explicit, cost-effective phenology indicators; however, little… Show more

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Cited by 20 publications
(20 citation statements)
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“…In contrast to degraded wetland, recovering wetland sequestered more C in aboveground vegetation, which was ascribed to the improving soil conditions and plant physiological characteristics. The increasing soil water and nutrient level stimulate the vegetation growth, metabolism, and development associated with strong photosynthetic C assimilation, causing higher aboveground biomass in recovering wetland, exhibiting a positive feedback to wetland C stocks (Zhao et al, 2016;Dronova et al, 2021).…”
Section: Impacts Of Wetland Degradation and Restoration On Abovegroun...mentioning
confidence: 99%
“…In contrast to degraded wetland, recovering wetland sequestered more C in aboveground vegetation, which was ascribed to the improving soil conditions and plant physiological characteristics. The increasing soil water and nutrient level stimulate the vegetation growth, metabolism, and development associated with strong photosynthetic C assimilation, causing higher aboveground biomass in recovering wetland, exhibiting a positive feedback to wetland C stocks (Zhao et al, 2016;Dronova et al, 2021).…”
Section: Impacts Of Wetland Degradation and Restoration On Abovegroun...mentioning
confidence: 99%
“…Even within satellite measures (Figs. 2 and 6), observed differences underscore the consequences of choosing appropriate metrics and scales of inference in heterogeneous landscapes (Dronova et al., 2021). Our findings are consistent with known discrepancies between satellite and ground‐level sensing of understory vegetation patterns (McClelland et al., 2019; Tuanmu et al., 2010; Zhao et al., 2020), but also demonstrate a way forward through CTs to acknowledge these differences when making ecological inferences.…”
Section: Discussionmentioning
confidence: 99%
“…In addition, we collected high-resolution aerial imagery (0.05 m) in September 2018 at all sites to distinguish vegetation types within the flux footprints. The impact of image resolution on vegetation indices using these remote sensing methods was recently assessed [ 73 ].…”
Section: Methodsmentioning
confidence: 99%