Spatiotemporal dynamics of vegetation net ecosystem productivity and its response to drought in Northwest China

GIScience & Remote Sensing, Journal Year: 2023, Volume and Issue: 60(1)

Published: April 11, 2023

Net ecosystem productivity (NEP) quantifies magnitude of the terrestrial vegetation carbon sinks. Drought is one most important stressors affecting NEP. At present, spatiotemporal dynamics NEP in drought-prone Northwest China (NWC) lack discussion under different climatic zones and land cover types, response to drought remains unclear. Hence, we estimated NWC using ground remote sensing data quantified differentiation types. The fluorescence monitoring index (DFMI) was developed examine relationship between based on solar-induced chlorophyll (SIF) data. Our results suggested that sinks increased significantly at 7.09 g C m−2 yr−1 during 2000–2019, mainly northern Shaanxi, eastern southern Gansu, Ningxia. showed increasing trends but there were differences sink capacity. strongest capacity humid regions forests, while weakest arid grasslands. a non-linear with degree reflecting multiple trend differences, especially forests faster more significant semi-arid semi-humid transition extreme when decreased. DFMI good indicator monitor conditions NWC. an 8–20-month periodic positive correlation high high–high low–low clustering spatially. weakened This study emphasizes demand rapidly identify lead decrease formulate adaptation strategies aimed reducing risk global warming.

Language: Английский

---

Comparative analysis of random forest, exploratory regression, and structural equation modeling for screening key environmental variables in evaluating rangeland above-ground biomass

Ecological Informatics, Journal Year: 2023, Volume and Issue: 77, P. 102251 - 102251

Published: Aug. 9, 2023

Language: Английский

---

Identifying carbon sequestration's priority supply areas from the standpoint of ecosystem service flow: A case study for Northwestern China's Shiyang River Basin

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 927, P. 172283 - 172283

Published: April 7, 2024

Language: Английский

---

Spatiotemporal Variation Characteristics and Dynamic Persistence Analysis of Carbon Sources/Sinks in the Yellow River Basin

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(2), P. 323 - 323

Published: Jan. 5, 2023

Net ecosystem productivity (NEP) is an important indicator for estimating regional carbon sources/sinks. The study focuses on a comprehensive computational simulation and spatiotemporal variation of the NEP in Yellow River basin from 2000 to 2020 using NPP data products MODIS combined with quantitative estimation model followed by analysis characteristics dynamic procession persistence based meteorological land use data. results show that: (1) total had overall increasing trend 2020, Theil–Sen −23.37 43.66 gCm−2a−1 mean increase 4.64 (p < 0.01, 2-tailed). (2) Most areas are sink areas, annual average per unit area was 208.56 2020. There were, however, substantial spatial temporal variations NEP. source located Kubuqi Desert its surroundings. (3) Changes patterns were main cause changes During 2000–2020 period, 1154.24 t added, mainly due use, e.g., conversion farmland forests grasslands. (4) future development 83.43% uncertain according Hurst index analysis. In conclusion, although carbon−sink capacity terrestrial potential future, new energy resources has uncertainties, stability needs be enhanced.

Language: Английский

---

Decoupling the Impacts of Climate Change and Human Activities on Terrestrial Vegetation Carbon Sink

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(23), P. 4417 - 4417

Published: Nov. 26, 2024

Net ecosystem productivity (NEP) plays a vital role in quantifying the carbon exchange between atmosphere and terrestrial ecosystems. Understanding effects of dominant driving forces their respective contribution rates on NEP can aid effective management sinks, especially rapidly urbanizing coastal areas where climate change (CC) human activities (HA) occur frequently. Combining MODIS NPP products meteorological data from 2000 to 2020, this paper established Modis NPP-Soil heterotrophic respiration (Rh) model estimate magnitude China’s zone (CCZ). Hotspot analysis, variation trend, partial correlation, residual analysis were applied explore spatiotemporal patterns contributions CC HA dynamics NEP. We also explored changes different land use types. It was found that there is clear north–south difference spatial pattern CCZ, with Zhejiang Province serving as main watershed for difference. In addition, most regions showed an improvement Beijing–Tianjin–Hebei region Shandong Province, but pixel values here generally not high southern provinces. According types forces, these primarily results synergistic HA. provinces south are mainly dominated by single-factor-driven degradation. The area contributes increase much larger than CC. From perspective types, forests farmland contributors CCZ.

Language: Английский

---

Spatio-Temporal Evolution of Net Ecosystem Productivity and Its Influencing Factors in Northwest China, 1982–2022

Agriculture, Journal Year: 2025, Volume and Issue: 15(6), P. 613 - 613

Published: March 13, 2025

The carbon cycle in terrestrial ecosystems is a crucial component of the global cycle, and drought increasingly recognized as significant stressor impacting their sink function. Net ecosystem productivity (NEP), which key indicator capacity, closely related to vegetation Primary Productivity (NPP), derived using Carnegie-Ames-Stanford Approach (CASA) model. However, there limited research on desert grassland ecosystems, offer unique insights due long-term data series. relationship between NEP complex can vary depending intensity, duration, frequency events. an exchange atmosphere, it soil respiration. Drought known negatively affect growth, reducing its ability sequester carbon, thus decreasing NEP. Prolonged conditions lead decrease NPP, turn affects overall balance ecosystems. This study employs improved CASA model, remote sensing, climate, land use estimate NPP grasslands then calculate Standardized Precipitation Evapotranspiration Index (SPEI), based precipitation evapotranspiration data, was used assess wetness dryness ecosystem, allowing for investigation drought. results show that (1) from 1982 2022, distribution pattern Inner Mongolia showed gradual increase southwest northeast, with multi-year average value 29.41 gCm⁻2. area (NEP > 0) accounted 67.99%, regional growth rate 0.2364 gcm−2yr−1, In addition, increasing 35.40% total (p < 0.05); (2) SPEI characterize changes region whole mainly affected by light Spatially, cumulative effect primarily driven short-term (1–2 months), covering 54.5% area, relatively fast response rate; (3) analyzing driving factors Geographical detector, annual had greatest influence Mongolian ecosystem. Interaction analysis revealed combined most stronger than single factor, interaction two higher explanatory power demonstrates has increased significantly drought, characterized SPEI, clear productivity, particularly areas experiencing Future could focus extending this other incorporating additional environmental variables further refine understanding dynamics under conditions. improving our cycling grasslands, are sensitive climate variability gained help inform strategies mitigating change enhancing sequestration arid regions.

Language: Английский

---

Modelling and evaluation of net ecosystem productivity and its driving factors in Inner Mongolia

Frontiers in Environmental Science, Journal Year: 2025, Volume and Issue: 13

Published: April 30, 2025

Net ecosystem productivity (NEP) is a critical indicator for characterizing the carbon cycle dynamics within terrestrial ecosystems. This study employs six different combinations of methods calculating Primary Productivity (NPP) and heterotrophic soil respiration Rh ) to estimate monthly NEP values in Inner Mongolia from 2001 2021. The flux observation data obtained through eddy covariance method are used validate evaluate these combinations, best estimation model combination selected, spatiotemporal distribution patterns along with its primary driving factors analyzed. Results show that: 1) estimates derived MODIS NPP combined Global Soil Respiration Model (GSMSR) Bond-Lamberty’s id="m2">Rs - id="m3">Rh relationship exhibit strong correlation validated data; 2) shows significant increasing trend, an annual average value 168.73 gC·m −2 ·a −1 , or 177.57 when excluding barren. Forests, croplands, grasslands identified as sinks during growing season, 84.81, 46.41, 32.95 ·mth respectively; 3) Precipitation dominant meteorological factor variations across region, contributing 72.29% season. Additionally, over 80% areas influenced by human activities positive impact on NEP; 4) interannual season increases primarily attributed climate change anthropogenic activities, which account 57% 66.3% variations, respectively. These effects particularly pronounced eastern forested regions central Mongolia. findings this provide valuable insights regional sink management ecological environment protection.

Language: Английский

---

Exploring the Spatiotemporal Dynamics and Driving Factors of Net Ecosystem Productivity in China from 1982 to 2020

Remote Sensing, Journal Year: 2023, Volume and Issue: 16(1), P. 60 - 60

Published: Dec. 22, 2023

Understanding the net ecosystem productivity (NEP) is essential for understanding functioning and global carbon cycle. Utilizing meteorological The Advanced Very High Resolution Radiometer (AVHRR) remote sensing data, this study employed Carnegie–Ames–Stanford Approach (CASA) Geostatistical Model of Soil Respiration (GSMSR) to map a monthly vegetation NEP in China from 1982 2020. Then, we examined spatiotemporal trends identified drivers changes using Geodetector model. mean over 39-year period amounted 265.38 gC·m−2. Additionally, average annual sequestration 1.89 PgC, indicating large sink effect. From 2020, there was general fluctuating increasing trend observed NEP, exhibiting an overall growth rate 4.69 gC·m−2·a−1. analysis revealed that majority region China, accounting 93.45% entirety, exhibited NEP. According analysis, precipitation change rate, solar radiation altitude were key driving factors rate. Furthermore, interaction between demonstrated most significant

Language: Английский

---

Climate change enhanced the positive contribution of human activities to net ecosystem productivity from 1983 to 2018

Frontiers in Ecology and Evolution, Journal Year: 2023, Volume and Issue: 10

Published: Jan. 19, 2023

Introduction Accurate assessment of the net ecosystem productivity (NEP) is very important for understanding global carbon balance. However, it remains unknown whether climate change (CC) promoted or weakened impact human activities (HA) on NEP from 1983 to 2018. Methods Here, we quantified contribution CC and HA under six different scenarios based a boosted regression tree model sensitivity analysis over last 40 years. Results discussion The results show that (1) total 69% areas showed an upward trend in NEP, with controlled 36.33 32.79% growth, respectively. (HA_con) far exceeded by 6.4 times. (2) CO2 concentration had largest positive (37%) influence area (32.5%). It made most significant range 435–440 ppm. In more than 50% areas, main loss factor was solar radiation (SR) any control factors. (3) Interestingly, enhanced HA_con 44% world, 25% area, effect greater 50%. Our shed light optimal each climatic enhancing emphasize role found previous studies.

Language: Английский

---

Downscaling estimation of NEP in the ecologically-oriented county based on multi-source remote sensing data

Ecological Indicators, Journal Year: 2024, Volume and Issue: 160, P. 111818 - 111818

Published: Feb. 28, 2024

Net ecosystem productivity (NEP) serves as a pivotal metric for quantitatively elucidating the carbon sink function of terrestrial ecosystems. As prototype county development an ecological civilization in China, quantitative estimation ecotypic county's capacity holds immense significance comprehending cycle and facilitating sustainable advancement regional This study undertook NEP Wuning County from 2000 to 2020, employing fusion multi-source remote sensing data, Spatial Temporal Adaptive Reflectance Fusion Model (STARFM), improved Carnegie-Ames-Stanford Approach model, soil respiration model. Furthermore, we delved into differences across various types land cover. In addition, employed Theil-Sen Median trend analysis Mann-Kendall test discern spatio-temporal trends NEP. The findings indicated following: (1) downscaled NDVI generated by STARFM exhibited remarkable consistency with Landsat overall (R2 > 0.95, P < 0.01, 0 RMSE 0.1). (2) gross 2020 area ranged 542.78 720 Gg C, multi-year average 183.84 g C m−2 yr−1. simulated demonstrated higher accuracy when compared measured data = 0.79, 0.01). (3) spatial pattern characterized lower values central north south. Approximately 89.60 % total increase NEP, woodland acting primary contributor, while 4.50 displayed decreasing trend, predominantly due expansion built-up land. (4) Notable variations existed among different terms vegetation types, annual ranked follows: grassland cropland. application has provided valuable insights methodology precise delineation dynamics at scale. outcomes this have furnished support implementing climate change mitigation strategies ecologically-oriented counties bottom-up promotion China's peaking neutrality goals.

Language: Английский

---