Comparison of the predictive ability of spectral indices for commonly used species diversity indices and Hill numbers in wetlands

Tan, Xiaopeng; Shan, Yuanqi; Wang, Xin; Liu, Ren Ping; Yao, Yunlong

doi:10.1016/j.ecolind.2022.109233

Cited by 15 publications

(4 citation statements)

References 54 publications

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“…This nature of flexibility of populations and robustness of species composition would be consistent with the characteristics of the human gut microbiota [96]. Moreover, this q profile is akin to the predictability of the mean NDVI in natural wetland ecosystems, maximum at q = 0.2 [95]. Therefore, our finding that the information carrier of ecosystems is species composition might be universally applicable to other ecosystems as well.…”

Section: Ecosystem Coalescence Experiments For Investigating Competit...supporting

confidence: 73%

“…Consequently, it might be inferred that ecosystems with greater functional diversity are more stable. Note that microbial experimental ecosystems in the previous study [73], where the dominant population shows high explanatory power, do not contain any predators, which may affect our results or the natural wetland ecosystem [95]. These ecosystems are, therefore, perceived as having low functional diversity, with competition occurring exclusively among them.…”

Section: Ecosystem Coalescence Experiments For Investigating Competit...mentioning

confidence: 71%

“…Conversely, in a natural wetland ecosystem, it is known that an ecosystem state index NDVI (Normalized Difference Vegetation Index) can predict species richness more accurately than dominant populations [95], suggesting a potentially similar situation. To quantitatively verify this in our case, we employed an approach akin to the previous study of the natural wetland ecosystem [95], examining the predictability of outcomes by varying the order parameter q in the widely applicable diversity index known as Hill numbers…”

Section: Ecosystem Coalescence Experiments For Investigating Competit...mentioning

confidence: 99%

See 2 more Smart Citations

Biodiversity and Constrained Information Dynamics in Ecosystems: A Framework for Living Systems

Hosoda,

Seno,

Kamiura

et al. 2023

Entropy

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The increase in ecosystem biodiversity can be perceived as one of the universal processes converting energy into information across a wide range of living systems. This study delves into the dynamics of living systems, highlighting the distinction between ex post adaptation, typically associated with natural selection, and its proactive counterpart, ex ante adaptability. Through coalescence experiments using synthetic ecosystems, we (i) quantified ecosystem stability, (ii) identified correlations between some biodiversity indexes and the stability, (iii) proposed a mechanism for increasing biodiversity through moderate inter-ecosystem interactions, and (iv) inferred that the information carrier of ecosystems is species composition, or merged genomic information. Additionally, it was suggested that (v) changes in ecosystems are constrained to a low-dimensional state space, with three distinct alteration trajectories—fluctuations, rapid environmental responses, and long-term changes—converging into this state space in common. These findings suggest that daily fluctuations may predict broader ecosystem changes. Our experimental insights, coupled with an exploration of living systems’ information dynamics from an ecosystem perspective, enhance our predictive capabilities for natural ecosystem behavior, providing a universal framework for understanding a broad spectrum of living systems.

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Section: Ecosystem Coalescence Experiments For Investigating Competit...supporting

confidence: 73%

Section: Ecosystem Coalescence Experiments For Investigating Competit...mentioning

confidence: 71%

Section: Ecosystem Coalescence Experiments For Investigating Competit...mentioning

confidence: 99%

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Biodiversity and Constrained Information Dynamics in Ecosystems: A Framework for Living Systems

Hosoda,

Seno,

Kamiura

et al. 2023

Entropy

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show abstract

“…For q = 2, the Hill number index was equal to the Simpson reciprocal index (de Bello et al, 2014). The 1 H, 2 H and 3 H was used for plant alpha diversity evaluation, because the sensitivity of Hill number index was from rare species to dominant species with q increased (Tan et al, 2022).…”

Section: Plant Diversity Calculationmentioning

confidence: 99%

The barrier risk to the ecological connectivity of plant diversity in karst landscapes in Guizhou Province, China

Zhou,

Lou,

Yang

et al. 2024

Front. Environ. Sci.

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Ecological connectivity in landscapes is crucial for plant diversity conservation. The barrier risk to ecological connectivity represents the risk to ecological connectivity loss or weakening, resulting from the barrier to biological information exchange among habitats. Therefore, clarifying the barrier risk to the ecological connectivity of plant diversity in space can reveal the spatial impacts of reduced ecological connectivity on plant diversity. This study analyzed effects of karst peak, river network, arable land, and impervious surface on plant diversity in karst natural, countryside, urban, and island landscapes in Guizhou Province with fragile environment. Then, we calculated the barrier distance of ecological connectivity to reveal the barrier risk to the ecological connectivity of plant diversity in space. The results showed that karst peak was the source of high plant diversity, and plant diversity could diffuse about 400 m around karst peaks. River network and arable land enhanced the connectivity among karst peaks to maintain plant diversity, and the effect on enhancing the connectivity was about 300 m and 450 m, respectively, while the weakening effect of impervious surface on connectivity was about 350 m. Based on the distance for plant diversity diffusing around karst peaks, the barrier distance of ecological connectivity was determined by the combination type of river network, arable land and impervious surface in landscapes. From low to high, the barrier risk to the ecological connectivity of plant diversity was about 1,110 m in the combination of river network and arable land, about 790 m in the combination of river network, arable land and impervious surface, about 520 min the combination of arable land and impervious surface, about 400 m in the combination of river network and impervious surface. Our findings clarify the barrier risk to the ecological connectivity of plant diversity in space, and provide a scientific basis for plant diversity conservation from the perspective of ecological connectivity.

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Reviewing the Spectral Variation Hypothesis: Twenty years in the tumultuous sea of biodiversity estimation by remote sensing

Torresani,

Rossi,

Perrone

et al. 2024

Ecological Informatics

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Comparison of the predictive ability of spectral indices for commonly used species diversity indices and Hill numbers in wetlands

Cited by 15 publications

References 54 publications

Biodiversity and Constrained Information Dynamics in Ecosystems: A Framework for Living Systems

Biodiversity and Constrained Information Dynamics in Ecosystems: A Framework for Living Systems

The barrier risk to the ecological connectivity of plant diversity in karst landscapes in Guizhou Province, China

Reviewing the Spectral Variation Hypothesis: Twenty years in the tumultuous sea of biodiversity estimation by remote sensing

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