Monitoring tropical forest degradation and restoration with satellite remote sensing: A test using Sabah Biodiversity Experiment

Wu, Jinhui; Чэн, Бин; Reynolds, Glen; Xie, Jining; Liang, Shunlin; O’Brien, Michael J.; Hector, Andrew

doi:10.1016/bs.aecr.2020.01.005

Cited by 18 publications

(12 citation statements)

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“…The copyright holder for this preprint this version posted September 13, 2022. ; https://doi.org/10.1101/2022.09.09.507141 doi: bioRxiv preprint 5 cover, aboveground biomass and Leaf Area Index in 2012 and estimates of cover from Landsat from 1999 (prior to enrichment planting) to 2012 (24).…”

Section: Main Textmentioning

confidence: 99%

“…The treatments include: unplanted controls, single-species plots enrichment planted with seedlings of one of sixteen different species of dipterocarp; polycultures planted with mixtures of 4 or 16 species; sixteen species mixtures with additional liana removal; and manipulations (within the 4-species treatment) of generic diversity and predicted canopy complexity (Table 1). To gain an overview of the effects of the experimental treatments on the whole 500 ha area of the experiment over time we used multiple sources of satellite remote sensing data including RapidEye estimates of vegetation 5 cover, aboveground biomass and Leaf Area Index in 2012 and estimates of cover from Landsat from 1999 (prior to enrichment planting) to 2012 (24).…”

Section: Main Textmentioning

confidence: 99%

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Positive effects of tree diversity on tropical forest restoration in a field-scale experiment

Veryard

O’Brien

et al. 2022

Preprint

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Experiments under controlled conditions have established that ecosystem functioning is generally positively related to levels of biodiversity, but it is unclear how widespread these effects are in real-world settings and whether they can be harnessed for ecosystem restoration. We used a long-term, field-scale tropical restoration experiment to test how the diversity of planted trees affected recovery measured across a 500 ha area of selectively logged forest using multiple sources of satellite data. Replanting with species rich mixtures of tree seedlings that had higher phylogenetic and functional diversity accelerated restoration rates. Our results are consistent with a positive relationship between biodiversity and ecosystem functioning in the lowland dipterocarp rainforests of SE Asia and demonstrate that using diverse mixtures of species can enhance initial recovery after logging.

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Section: Main Textmentioning

confidence: 99%

Section: Main Textmentioning

confidence: 99%

Positive effects of tree diversity on tropical forest restoration in a field-scale experiment

Veryard

O’Brien

et al. 2022

Preprint

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“…For this purpose, remote sensing techniques were employed, in order to allow the spatial analysis of extensive areas, to have fast and continuous imaging of the surface, and, mainly, to make products available free of charges. Of equal importance, it is emphasized that remote sensing has often been used as a tool for monitoring and modeling aspects of vegetation [ 20 – 22 ].…”

Section: Introductionmentioning

confidence: 99%

Surface temperature behavior in view of the conversion of tropical dry forest into anthropic uses, northern Minas Gerais–Brazil

2022

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Tropical dry forests (TDFs) are essential for environmental dynamics, especially in terms of climate variations. However, several anthropic factors have threatened the integrity of TDFs, and consequently the surface temperature (ST), which is a proxy variable for several environmental processes in TDFs. So, understanding their behavior is crucial. The objective was to analyze the behavior of surface temperature owing to conversion of TDFs into anthropic uses in northern Minas Gerais between 2007 and 2016. In 9 years, dry forests decreased by 22.9%, with pastures as the central driver (counted 93% of change). Between 2007 and 2016, there was an increase in ST by 1.55 K ± 1.15 K. When TDFs were converted to pastureland, the increase in ST was 2.21 K ± 1.39 K and for crops by 0.57 K ± 1.24 K. The remaining TDFs (2016) had an increase in their thermal average of 1.41 K ± 1.02 K. This analysis is essential for the adoption of conservation actions for the maintenance of ecological corridors in TDFs, considering their importance in the ecosystem context.

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“…With the development of remote sensing technology, a series of remote sensing vegetation parameters, such as the Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), the Leaf Area Index (LAI), and the Fractional Vegetation Cover (FVC), which can reflect the characteristics of the vegetation canopy structure, have been proposed [26][27][28]. Compared with the NDVI and EVI, these parameters can further reflect the habitat information for species [29,30], and long-time series quantitative remote sensing datasets based on these remote sensing vegetation parameters can provide an important opportunity to analyze the spatial distribution pattern of animal species richness caused by vegetation phenology changes on a large scale [31,32]. Nonetheless, the explicit analysis of the relationship between the animal species richness and the different vegetation phenology parameters extracted with remote sensing data is almost absent from the literature.…”

Section: Introductionmentioning

confidence: 99%

Analyzing the Relationship between Animal Diversity and the Remote Sensing Vegetation Parameters: The Case of Xinjiang, China

Wan

et al. 2021

Sustainability

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An explicit analysis of the impact for the richness of species of the vegetation phenological characteristics calculated from various remote sensing data is critical and essential for biodiversity conversion and restoration. This study collected long-term the Normalized Difference Vegetation Index (NDVI), the Leaf Area Index (LAI), the Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), and the Fractional Vegetation Cover (FVC), and calculated the six vegetation phenological characteristic parameters: the mean of the growing season, the mean of the mature season, the mean of the withered season, the annual difference value, the annual cumulative value, and the annual standard deviation in the Xinjiang Uygur Autonomous Region. The relationships between the vegetation phenological characteristics and the species richness of birds and mammals were analyzed in spatial distribution. The main findings include: (1) The correlation between bird diversity and vegetation factors is greater than that of mammals. (2) For remote sensing data, FAPAR is the most important vegetation parameter for both birds and mammals. (3) For vegetation phenological characteristics, the annual cumulative value of the LAI is the most crucial vegetation phenological parameter for influencing bird diversity distribution, and the annual difference value of the NDVI is the most significant driving factor for mammal diversity distribution.

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Monitoring tropical forest degradation and restoration with satellite remote sensing: A test using Sabah Biodiversity Experiment

Cited by 18 publications

References 90 publications

Positive effects of tree diversity on tropical forest restoration in a field-scale experiment

Positive effects of tree diversity on tropical forest restoration in a field-scale experiment

Surface temperature behavior in view of the conversion of tropical dry forest into anthropic uses, northern Minas Gerais–Brazil

Analyzing the Relationship between Animal Diversity and the Remote Sensing Vegetation Parameters: The Case of Xinjiang, China

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