Improved CASA-Based Net Ecosystem Productivity Estimation in China by Incorporating Developmental Factors into Autumn Phenology Model

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(3), P. 487 - 487

Published: Jan. 30, 2025

Accurately assessing the carbon sink intensity of China’s ecosystem is crucial for achieving neutrality. However, existing process models have significant uncertainties in net productivity (NEP) estimates due to lack or insufficient description phenological regulation. Although plant developmental factors been proven significantly influence autumn phenology, they not systematically incorporated into phenology models. In this study, we modified model (cold-degree-day, CDD) by incorporating growing-season gross primary (GPP) and start growing season (SOS) used it as a constraint improve CASA quantifying NEP across China from 2003 2021. Validation results showed that CDD improved simulation accuracy at end (EOS). More importantly, compared with flux tower observations, derived based on above 15.34% reduction root mean square error 74% increase coefficient determination relative original model. During study period, multiyear average total was 489.67 ± 38.27 Tg C/yr, highest found evergreen broadleaf forests lowest detected shrublands. Temporally, demonstrated an overall increasing trend rate 1.75 g C/m2/yr2. growth remained far below concurrent emissions fossil fuel combustion totally, especially eastern China, while northeastern regions performed relatively better. The regional estimation framework proposed will provide important support developing future climate change mitigation strategies.

Language: Английский

---

Vegetation Carbon Source/Sink Dynamics and Extreme Climate Response in the Yangtze River Delta Coastal Zone

Sustainability, Journal Year: 2025, Volume and Issue: 17(4), P. 1456 - 1456

Published: Feb. 11, 2025

Coastal zones, as transition areas for sea/land interaction, have substantial carbon sequestration potential while also being particularly vulnerable to extreme climate. Consequently, it has become essential evaluate the vegetation sinks in coastal zone under climate conditions. In this study, we evaluated net ecosystem productivity (NEP) typical regions within Yangtze River Delta from 2000 2020. We studied regional and chronological properties of NEP its response The results revealed following: (1) Vegetation demonstrated a fluctuating rising trend over past 21 years, with an interannual change rate 1.96 gC·m−2·a−1, 21-year average was 249.22 gC·m−2·a−1. Spatially, southern part region had higher than northern part, central part. (2) overall area showed characteristics sink, sink accounting 82.41%. Among ecosystems, forest ecosystems exhibited strongest capacity, followed by cropland wetland urban grassland relatively weaker capacities. (3) spatial upward trend, consistent temporal trend. There is high risk degradation future. (4) NEP’s temperature more pronounced. largest explanatory power observed SU25 TMAX during single-factor analysis. interaction analysis found following three factor groups: R99p∩TMAX, SU25∩TNx, TXx∩LST. highlight complex synergistic interplay among these influences on NEP. findings offer scientific basis ecological protection attainment dual-carbon goals Delta.

Language: Английский

---

Spatial mismatch and drivers of carbon sequestration services supply-demand in China

Ecological Indicators, Journal Year: 2025, Volume and Issue: 173, P. 113389 - 113389

Published: March 27, 2025

Language: Английский

---

Assessment the impact of drought on vegetation carbon source/sink at a spatial scale and identify the dominant factors in the Middle Reaches of the Yellow River Basin, China

Human and Ecological Risk Assessment An International Journal, Journal Year: 2024, Volume and Issue: 30(5-6), P. 546 - 569

Published: July 2, 2024

Drought poses a severe threat to terrestrial ecosystems' carbon sequestration function, which in turn affects regional sustainable development. Understanding its impact on source/sink dynamics is crucial for addressing extreme climate change challenges. This study, based the Carnegie-Ames-Stanford approach (CASA) model and soil heterotrophic respiration equation, Net Ecosystem Productivity (NEP) of middle reaches Yellow River Basin (MRYRB) from 2001 2019 were estimated utilized characterize vegetation source/sink. Additionally, four factors, namely, average surface temperature (AST), root-zone moisture (RM), drought frequency (DF), intensity (DI), selected multiscale geographically weighted regression (MGWR) was applied assess dominant factors influencing at spatial scale. The results indicated that: (1) MRYRB acted as sink, showing an increasing trend. Carbon sink primarily located Shaanxi's central region, while source Inner Mongolia northern part. (2) Both extent severity showed mitigating trend, presenting distribution high-intensity low-frequency low-intensity high-frequency. (3) AST, RM, DF, DI had larger effects than sink. AST dominated mainly Shanxi Shaanxi, RM Shaanxi Gansu, DF concentrated Shanxi.

Language: Английский

---

Desertification Mitigation in Northern China Was Promoted by Climate Drivers after 2000

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(19), P. 3706 - 3706

Published: Oct. 5, 2024

Desertification greatly threatens the ecological environment and sustainable development over approximately 30% of global land. In this study, contributions climate drivers human activity in shaping desertification process from 1984 to 2014 were quantified desertification-prone region (DPR) Northern China (NC) by employing net primary productivity (NPP) as a proxy. The results reveal that 72.74% DPR experienced mitigation 27.26% exacerbation. Climate acted drivers, contributing both (47.2%) exacerbation (48.5%) desertification, while also played crucial role, with 39.6% 41.0% desertification. Furthermore, shift dynamics emerged around 2000, promoting (66.8%), precipitation was dominant climatic factor for after which related internal atmospheric variability. This study highlights changes different factors underscoring need policy adjustment attain land management NC.

Language: Английский

---

Impact of Climate and Vegetation Dynamics on the Ecosystem Services of Subtropical Forests—A Case Study of Baishanzu National Park Area, China

Forests, Journal Year: 2024, Volume and Issue: 15(11), P. 1850 - 1850

Published: Oct. 23, 2024

Forest ecosystems, as the primary component of terrestrial provide essential ecosystem services (ESs) critical for sustainable human development. However, changes in climate and vegetation can alter these forest ESs. Understanding complex relationships between regional climate, vegetation, ESs is key to ensuring management Therefore, this study, using Baishanzu National Park a case example, analyzed impacts dynamics (vegetation coverage, type, structure) on ESs, specifically water yield (WY), soil conservation (SC), net productivity (NPP), habitat quality (HQ). The results indicate that from 2000 2020, Composite Index Ecosystem Services (CIES) increased. Climate have significant effects Specifically, WY SC are primarily influenced by change, while NPP HQ mainly affected type structure. Complex trade-offs synergies exist among different driving mechanisms ES variations also complex, involving both direct indirect effects, with spatial heterogeneity. This study provides important references appropriate restoration

Language: Английский

---

Evaluation and Forecast Of Net Co 2 Uptake in China’S Terrestrial Ecosystems By Machine Learning: Past and Future

Published: Jan. 1, 2024

Language: Английский

---

Assessment of Coastal Carbon Storage and Analysis of Its Driving Factors: A Case Study of Jiaozhou Bay, China

Land, Journal Year: 2024, Volume and Issue: 13(8), P. 1208 - 1208

Published: Aug. 5, 2024

Global climate change and coastal urbanization have significantly impacted the health carbon storage of zone ecosystems. Investigating spatial temporal variations in is crucial for developing effective strategies land management ecological protection. Current methods evaluating are hindered by insufficient accuracy data acquisition challenges, necessitating solutions to enhance both reliability precision. This study aims assess annual sequestration Jiaozhou Bay from 1990 2020 identify driving factors integrating Integrated Valuation Ecosystem Services Trade-offs (InVEST) Carnegie Ames Stanford Approach (CASA) models with remote sensing geographic detector methods. The findings suggest that has experienced a substantial decrease storage, declining 17.4% 2020, sequestration, decreasing 35.5% 2016, but stabilized recently. Vegetation cover water bodies play critical roles regional storage. Furthermore, dynamics use patterns influenced socioeconomic factors, including GDP population density. A comparison InVEST CASA demonstrates consistency their assessments. Combining these future assessments can scientific rigor research, providing more reliable evidence ecosystem policy making.

Language: Английский

---

Spatio-temporal dynamics of net primary productivity and the economic value of Spartina alterniflora in the coastal regions of China

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 953, P. 176099 - 176099

Published: Sept. 10, 2024

Language: Английский

---