Nonlinear model prediction of needle chlorophyll content of Picea koraiensis Nakai at different needle ages based on hyperspectral features DOI Creative Commons
Yiheng Wang, Jinsong Zhang, Shu Diao

et al.

Frontiers in Forests and Global Change, Journal Year: 2023, Volume and Issue: 6

Published: June 29, 2023

Pigment content is a critical assessment indicator in the study of plant physiological metabolism, stress resistance, ornamental characteristics, and forest health. Spectral imaging technology widely used for rapid non-destructive determination physicochemical parameters. To address shortcomings previous models spectral reflectance prediction chlorophyll needles only from perspective traditional algorithms ignoring physical models, this research integrates variable complexity refined classification to validate increased accuracy both conventional partial least squares (PLS) method neural network algorithm. The results conifer Picea koraiensis Nakai with different needle ages based on vegetation index parameters showed that improved nonlinear state transition algorithm-backpropagation (STA-BP) model approach ( R 2 0.73–0.89) Stacking (Stacking-PLS) 0. 67–0.85) slightly more robust than BP 0.63–0.82) linear PLS 0.60–0.76). This finding suggests fitting P. surpasses methodology. Furthermore, conifers outperforms mixed model, suggesting using refinement help improve robustness. provides data theoretical support non-invasive characterization biochemical properties techniques predict growth community structure productivity trees coming years.

Language: Английский

The impact of ecological restoration on ecosystem services change modulated by drought and rising CO2 DOI Creative Commons
Binbin Huang, Fei Lu, Xiaoke Wang

et al.

Global Change Biology, Journal Year: 2023, Volume and Issue: 29(18), P. 5304 - 5320

Published: June 27, 2023

Ecological restoration projects (ERPs) are an indispensable component of natural climate solutions and have proven to be very important for reversing environmental degradation in vulnerable regions enhancing ecosystem services. However, the level enhancement would inevitably influenced by global drought rising CO2 , which remain less investigated. In this study, we took Beijing-Tianjin sand source region (which has experienced long-term ERPs), China, as example combined process-based Biome-BGCMuSo model set multiple scenarios address issue. We found ERP-induced carbon sequestration (CS), water retention (WR), soil (SR), sandstorm prevention (SP) increased 22.21%, 2.87%, 2.35%, 28.77%, respectively. Moreover, services promotion from afforestation was greater than that grassland planting. Approximately 91.41%, 98.13%, 64.51% CS, SR, SP were contributed afforestation. also caused WR decline. Although amplified ERPs, it almost totally offset drought. The contribution ERPs WR, reduced 5.74%, 32.62%, 11.74%, 14.86%, respectively, under . Our results confirmed importance strengthening provision. Furthermore, provide a quantitative way understand influence rate on service dynamics. addition, considerable negative change impact implied strategies should optimized improve resilience better combat impacts.

Language: Английский

Citations

26
Integrating social-ecological system into watershed ecosystem services management: A case study of the Jialing River Basin, China DOI Creative Commons
Yixu Wang, Jie Gong,

Yuehua Zhu

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 160, P. 111781 - 111781

Published: Feb. 26, 2024

A severe decline in ecosystem services (ES) has accompanied the rapid development of human societies. There is a growing interest considering ES management from systemic and integrated perspective. Yet, researchers still need to explore effective ways integrate natural systems for strengthening ES. This study proposes an integrating framework that connects concept social-ecological system (SES) with We utilize land use types as indicators basic SES structure employ InVEST model evaluate typical Jialing River Basin (JRB). By analyzing spatial temporal characteristics multiple ES, we investigate how related different types. The results reveal that: (1) 1980 2020, JRB underwent significant transformations, including decrease cropland areas, while construction forestland areas increased. Especially, experienced increase high 212.53%. (2) Regarding water yield (WY) increased soil conservation (SC), carbon storage (CS), habitat quality (HQ) decreased. (3) relationship analysis demonstrated disparities levels across various Construction exhibited highest average WY but lower SC, CS, HQ values compared which had higher instead. These findings imply regional will be positively or negatively affected by transformation within SES. In long run, it crucial synthesize both functional benefits provided JRB, then control favorable transformations enhance sustainable supply provides novel methodology connecting comprehensively new perspectives beneficial building enhancement.

Language: Английский

Citations

7
Stability of the ecosystem gross primary productivity increasing in Chinese forestry ecological engineering area DOI
Huiyu Liu, Zheng Wang, Zhaoyue Wang

et al.

Agriculture Ecosystems & Environment, Journal Year: 2023, Volume and Issue: 356, P. 108636 - 108636

Published: June 17, 2023

Language: Английский

Citations

15
Grain for Green Program to Grassland Might Lead to Carbon Sink Leakage in the Loess Plateau DOI Creative Commons
Yinqiu Ma,

J. H. Li,

Wei Cao

et al.

Earth s Future, Journal Year: 2025, Volume and Issue: 13(4)

Published: April 1, 2025

Abstract Grain for Green Program (GFGP), China's most famous ecological program, has become the main driver of carbon sink increases. However, potential effect still lacks scenario‐based systematic estimation. By backdating GFGP increase in Loess Plateau (LP) over past 20 years, we forecast and reveal spatial distribution contribution “Double Carbon Target” years under three scenarios. Our results showed that places restored to forests (GFGP‐Forest) will always lead a by (33.62 Tg C 2000–2020) 0.78–1.09 1.29–2.13 2030 2060, respectively. grasslands (GFGP‐Grassland) an 2000–2020 (72.52 C), but decrease 2060 (0.89–9.95 7.42–11.18 C). This conversion is due combination Net Primary Productivity heterotrophic respiration future, which indicates restoration programs involved converting croplands into severely benefits potential. In summary, it essential correctly quantify LP resulting from GFGP, properly manage augment GFGP‐Forest avoid source GFGP‐Grassland future. highlight hidden danger leaking typical semi‐arid region future climate‐changing conditions.

Language: Английский

Citations

0
Lithology‐mediated soil erodibility characteristics after vegetation restoration in the karst region of Southwest China DOI Open Access
Peining Liang, Xing Wang, Qinxue Xu

et al.

Land Degradation and Development, Journal Year: 2023, Volume and Issue: 35(3), P. 1074 - 1086

Published: Nov. 5, 2023

Abstract Ecological restoration projects have significantly increased global vegetation cover and reduced soil erosion. However, it is very challenging to clarify the complex erosion mechanisms of limestone dolomite in southwest karst region identify key factors affecting The study site has a subtropical monsoon climate with precipitation concentrated during rainy season from May September. In this study, four plantation measures recovery time approximately 16 years were selected, which included arbor forest, orchard, grassland, cropland (control). Soil physical–chemical properties erodibility K values used evaluate characteristics. results showed that both exhibited lower bulk density as well higher capillary porosity, water‐stable aggregates after revegetation. by 12%–15% 15%–17%, respectively. value was 17.9% than dolomite, indicating stability. Through redundancy analysis structural equation modeling, revegetation found reduce influencing particle composition. silt factor erosion, accounting for 84.4% 78.2% variation values, These findings suggest enhances resistance; however, effectiveness controlled lithology region. provide reference water management restoration.

Language: Английский

Citations

8
Ecological restoration is crucial in mitigating carbon loss caused by permafrost thawing on the Qinghai-Tibet Plateau DOI Creative Commons
Binbin Huang, Fei Lu, Xiaoke Wang

et al.

Communications Earth & Environment, Journal Year: 2024, Volume and Issue: 5(1)

Published: June 20, 2024

Abstract Climate change leads to permafrost thawing, accelerating carbon emissions increases, challenges the goal of climate mitigation. However, it remains unknown whether implementing ecological restoration projects in Alpine areas can offset adverse effects thawing locally. Here we took Qinghai‒Tibet Plateau as an example explore this issue based on improved Biome-BGCMuSo model. We found future change-induced will decrease sink. Projects’ sink enhancement could fully counteract thawing-induced loss. Additionally, warmer and wetter climates enlarge suitable area for restoration. If these are taken into account, attributable Projects further increase. These results indicate that ERPs have potential combat loss, their contribution be amplified by change.

Language: Английский

Citations

1
Increased ecological land and atmospheric CO2 dominate the growth of ecosystem carbon sinks under the regulation of environmental conditions in national key ecological function zones in China DOI
Mengyu Zhang, Honglin He, Li Zhang

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 366, P. 121906 - 121906

Published: July 19, 2024

Language: Английский

Citations

1
Potential impacts of land use and land cover change (LUCC) and climate change on evapotranspiration and gross primary productivity in the Haihe River Basin, China DOI
Shaobo Sun, Baozhang Chen, Jianwu Yan

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: unknown, P. 143729 - 143729

Published: Sept. 1, 2024

Language: Английский

Citations

1
Nonlinear model prediction of needle chlorophyll content of Picea koraiensis Nakai at different needle ages based on hyperspectral features DOI Creative Commons
Yiheng Wang, Jinsong Zhang, Shu Diao

et al.

Frontiers in Forests and Global Change, Journal Year: 2023, Volume and Issue: 6

Published: June 29, 2023

Pigment content is a critical assessment indicator in the study of plant physiological metabolism, stress resistance, ornamental characteristics, and forest health. Spectral imaging technology widely used for rapid non-destructive determination physicochemical parameters. To address shortcomings previous models spectral reflectance prediction chlorophyll needles only from perspective traditional algorithms ignoring physical models, this research integrates variable complexity refined classification to validate increased accuracy both conventional partial least squares (PLS) method neural network algorithm. The results conifer Picea koraiensis Nakai with different needle ages based on vegetation index parameters showed that improved nonlinear state transition algorithm-backpropagation (STA-BP) model approach ( R 2 0.73–0.89) Stacking (Stacking-PLS) 0. 67–0.85) slightly more robust than BP 0.63–0.82) linear PLS 0.60–0.76). This finding suggests fitting P. surpasses methodology. Furthermore, conifers outperforms mixed model, suggesting using refinement help improve robustness. provides data theoretical support non-invasive characterization biochemical properties techniques predict growth community structure productivity trees coming years.

Language: Английский

Citations

1