Zy1-02d Satellite Hyperspectral Remote Sensing: Spatial Scaling Analysis and Monitoring of Landscape Wetland Diversity DOI

Siying Cheng,

Weiwei Sun, Xiaodong Yang

et al.

Published: Jan. 1, 2023

Monitoring and assessing wetland diversity is crucial for its accurate preservation. Hyperspectral satellites have been proven effective detailed investigations of plant in large areas. However, it's unclear if spectral can represent landscape or the inversion accuracy changes with spatial scale. In this study, we utilized support vector machine method supervised classification ZY1-02D hyperspectral remote sensing images Yellow River Estuary. Subsequently, indices (community richness, Shannon-Wiener index, Simpson Pielou index) (coefficient variation, convex hull volume, eight vegetation indices) were calculated coastal wetlands. We then used a random forest model to predict based on diversity. Finally, explored scale relationship between The results showed that overall Estuary was 91.53%, Kappa coefficient 0.90. Spectral had best effect maximum 57%, followed by index (56%), community richness (48%), finally (43%). each increased first stabilized scale, reaching stability at plot size 2880×2880 m. study indicate data monitor pattern affected type effects. findings provide new perspective conservation management large-scale

Language: Английский

The synergy between pollution reduction and carbon reduction in Chinese cities and its influencing factors DOI
Kai Liu,

Guixiu Ren,

Shumin Dong

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 106, P. 105348 - 105348

Published: March 13, 2024

Language: Английский

Citations

26
Machine Learning and Spatio Temporal Analysis for Assessing Ecological Impacts of the Billion Tree Afforestation Project DOI Creative Commons
Kaleem Mehmood, Shoaib Ahmad Anees, Sultan Muhammad

et al.

Ecology and Evolution, Journal Year: 2025, Volume and Issue: 15(2)

Published: Feb. 1, 2025

ABSTRACT This study evaluates the Billion Tree Afforestation Project (BTAP) in Pakistan's Khyber Pakhtunkhwa (KPK) province using remote sensing and machine learning. Applying Random Forest (RF) classification to Sentinel‐2 imagery, we observed an increase tree cover from 25.02% 2015 29.99% 2023 a decrease barren land 20.64% 16.81%, with accuracy above 85%. Hotspot spatial clustering analyses revealed significant vegetation recovery, high‐confidence hotspots rising 36.76% 42.56%. A predictive model for Normalized Difference Vegetation Index (NDVI), supported by SHAP analysis, identified soil moisture precipitation as primary drivers of growth, ANN achieving R 2 0.8556 RMSE 0.0607 on testing dataset. These results demonstrate effectiveness integrating learning framework support data‐driven afforestation efforts inform sustainable environmental management practices.

Language: Английский

Citations

3
Using ZY1-02D satellite hyperspectral remote sensing to monitor landscape diversity and its spatial scaling change in the Yellow River Estuary DOI Creative Commons

Siying Cheng,

Xiaodong Yang, Gang Yang

et al.

International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2024, Volume and Issue: 128, P. 103716 - 103716

Published: Feb. 19, 2024

Monitoring and assessing wetland diversity is crucial for its accurate preservation. Hyperspectral satellites have been proven effective detailed investigations of plant in many places. However, it's unclear whether spectral invert landscape diversity, the inversion accuracy varies with spatial scale. In this study, ZY1-02D hyperspectral remote sensing images Yellow River Estuary were supervised classified by support vector machine. Then, indices (i.e., community richness, Shannon-Wiener index, Simpson Pielou index) coefficient variation, convex hull volume, eight vegetation indices) calculated. A random forest model was used to predict using diversity. The scale relationship between explored lastly. Our results showed that overall classification 91.53 %, a Kappa 0.90. Spectral had best on index (14 ∼ 57 average = 38 %), while intermediate (3 56 30 %) richness (2 48 but lowest 43 16 %). increased first then stabilized increase scales, reaching stability at sampling size 2880 m × m. indicated data can be monitor changes systems. affected type scaling effects. findings provide new perspective conservation management large-scale

Language: Английский

Citations

11
Accelerating decline of habitat quality in Chinese border areas DOI
Zilong Yue, Chiwei Xiao,

Zhiming Feng

et al.

Resources Conservation and Recycling, Journal Year: 2024, Volume and Issue: 206, P. 107665 - 107665

Published: April 30, 2024

Language: Английский

Citations

9
A multifaceted approach to expanding conservation efforts in the Pan-Himalayan landscape DOI
Maroof Ali, Zhongde Huang,

Yang Bai

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: unknown, P. 143783 - 143783

Published: Sept. 1, 2024

Language: Английский

Citations

4
Impact of Climate and Soil on Plant Dynamics and Ecosystem Stability in Argan Orchards DOI Creative Commons

Maryem Telmoudi,

Chaima Afi,

Naima Chabbi

et al.

Plants, Journal Year: 2025, Volume and Issue: 14(5), P. 664 - 664

Published: Feb. 21, 2025

Assessing the impact of natural disturbances on plant biodiversity is crucial amid loss and climate change. Research highlights dynamic shifts driven by environmental factors, change, human activity, emphasizing need to maintain ecosystem stability for conservation sustainable development, particularly in arid semi-arid regions. This study, conducted between 2021 2023, focused dynamics communities argan tree reserve areas. Six orchards were selected as study sites detailed investigation. A total 82 species belonging 25 families identified, with 23 documented 21 including six endemic Morocco (Frankenialaevis subsp. velutina, Ononisnatrix arganietorum, Rumex papilio, Andryala integrifolia cedretorum, Chiliadenushesperius, Reseda difussa). The majority plants present area annual biennial herbaceous types, exhibiting minimal seasonal within communities. However, how respond effects fluctuating remains unclear. explores indirect community metrics orchards, assessing diversity, biomass, density across different orchard types. It influence climate, soil properties, biotic interactions dynamics. We utilized alpha diversity indices (Shannon, Simpson, Pielou’s, Margalef’s) beta (Jaccard Sorenson Similarity) examine these patterns. Seasonal changes predominantly influenced temperature precipitation, while diverse types shaped relief, water balance contributed ecological functions. key findings indicated highest “Tioughza” most significant “Imoulass” “Ezzaouite”. Soil nutrients (N, C, P) showed a positive correlation highlighting their vital role biomass accumulation, whereas temperature, C/N ratio, loam percentage found be richness. Mixed modeling revealed relation but no effect (Shannon Index) elevation. concludes that texture significantly shape relationships density, recommending further research into among cover, fertility support management orchards.

Language: Английский

Citations

0
Speciation and hybridization of Enkianthus quinqueflorus and E. serrulatus (Ericaceae) across a tropical–subtropical transitional zone in South China DOI
Wan Hu, Qi Qiu, Hua Liang

et al.

Botanical Journal of the Linnean Society, Journal Year: 2025, Volume and Issue: unknown

Published: March 29, 2025

Abstract How speciation and hybridization occur across steep environmental gradients has fascinated ecologists evolutionary biologists for decades. Enkianthus quinqueflorus E. serrulatus are a species pair located on the two sides of Nanling Mountains, previously proposed tropical–subtropical transitional zone (ecotone) south China. In this study, we investigated its history based DNA sequences four chloroplast inter-genic spacers eight nuclear genes from 44 populations. Phylogenetic analyses found clear cytonuclear discordance, indicating some (EquiN) populations were hybrid origin, largely corresponding to serotinus (especially tubulatus). Approximate Bayesian computation (ABC) analysis that EquiN derived between other cluster (EquiS) at 0.22 Mya after an initial split 0.93 Mya, was also confirmed by IMa2. Ecological niche modelling indicated EquiS had distinct ecological niches but with overlapped distribution late Quaternary. These results, coupled morphological intermediacy tubulatus, clearly suggest may be products allopatric associated refugial isolation during Cenozoic climate changes, tubulatus could have resulted second contact around Mountains serrulatus. This study suggests hotspot woody flowering plants, represent in China, least terms plant divergence speciation.

Language: Английский

Citations

0
The Effect of Climate Variables, Soil Characteristics, and Peanut Cultivars on the Rhizobial Bacteria Community DOI Creative Commons
Juan Li,

Zhong-yi Yang,

En Tao Wang

et al.

Microorganisms, Journal Year: 2025, Volume and Issue: 13(4), P. 926 - 926

Published: April 17, 2025

Peanuts are widely cultivated across the world; however, peanut’s rhizobial community and determinant factors of their composition still to be elucidated. This study investigates biogeography soil environmental for peanut rhizobia. A total 1001 isolates were obtained from root nodules, mainly belonging two cultivars (X9 M6) in 20 sampling sites China. According recA sequence analysis, all classified as 84 haplotypes, a representative strain each haplotype was randomly selected perform subsequent analyses. Based on multilocus analysis (MLSA) housekeeping genes dnaK, glnII, gyrB, recA, rpoB, strains 42 genospecies genus Bradyrhizobium, including 12 effectively published 30 undefined genospecies. Strains six predominant (>5%), B. ottawaense, liaoningense, yuanmingense, Bradyrhizobium sp. XXIX, guangdongense, nanningense. However, only single isolate 15 The diversity indices rhizobia distributed South China obviously higher than those North China, but no obvious cultivar selection found. Correlation analyses indicated that affected by MAP, MAT, AP, pH. Nodulation tests 79 37 with both nodC nifH could nitrogen-fixing symbiosis peanuts. revealed great varied communities different geographic regions

Language: Английский

Citations

0
Terrestrial environmental sensitivity index mapping (TESIM) of the coastal areas of the Niger Delta region of Nigeria DOI Creative Commons
Vremudia Onyeayana Wekpe, Malcolm Whitworth, Brian Baily

et al.

Scientific African, Journal Year: 2024, Volume and Issue: 24, P. e02152 - e02152

Published: March 6, 2024

It can be argued that despite years of research, the true impacts oil spill pollution on environment and human sources livelihoods are yet to completely understood. Tools such as environmental sensitivity index (ESI) mapping provide useful information significantly mitigate or help eliminate known crude pollution, by proactively identifying environmentally sensitive areas. This study adapted analytical hierarchy process (AHP) geographic systems (GIS) based multiple criteria analysis (MCA) approach in objective determination sections NDR coastal areas, combining several competing related evaluation criteria. The AHP was used determine assign relative weights data layers through a pairwise comparison matrix mutually exclusive using Delphi technique, while MCA aggregate into single map. results show over 57% area is one form other. 68% identified areas classified extremely with 11,752.14km2, 7.1% less sensitive. classification termed Niger Delta Relative Environmental Sensitivity Index (NDRESI). implication these more has done if very conserved tougher legislations, monitoring education.

Language: Английский

Citations

2
Effects of the Dominate Plant Families on Elevation Gradient Pattern of Community Structure in a Subtropical Forest DOI Open Access
J. Q. Li, Yinghua Luo, Xiaoyang Song

et al.

Forests, Journal Year: 2023, Volume and Issue: 14(9), P. 1860 - 1860

Published: Sept. 13, 2023

Dominant groups and rare often coexist in forests. Dominate plant families generally have more species diversity occupy most of the biomass. However, their effects on community construction maintenance remain to be studied. This study aims investigate this question by using two dominant a Chinese subtropical forest (Lauraceae Fagaceae). In study, 22 dynamic plots were established distribution area Daming Mountain Nature Reserve at an elevation 300–1400 m. We explored elevational change structure its relationship with Lauraceae Fagaceae generalized additive models (GAM) regression analysis. Then we used correlation analysis describe between environmental factors structure. Our results showed index hump-shape trend along elevation, total basal no significant elevation. The richness positive diversity, but only correlated area. Species was positively soil nitrogen organic matter. negatively pH. summary, are for structure, is not affected has played important role than Lauranceae. highlights impact assembly transect.

Language: Английский

Citations

4