Responses of Ecosystem Services to Climate Change: A Case Study of the Loess Plateau

Jing, Peiqing; Zhang, Donghai; Ai, Zemin; Wu, Hongxun; Zhang, Dingming; Ren, Honghong; Suo, Liang

doi:10.3390/f13122011

Cited by 4 publications

(7 citation statements)

References 60 publications

(78 reference statements)

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“…The lower the grass coverage, the greater the partial correlation coefficient between NPP and rainfall, and the greater the proportion of areas where NPP and rainfall were significant and extremely significant. The strongest partial correlation between low-coverage grassland and rainfall was found in Yulin, rather than in Yan'an, where rainfall was much heavier, because of sufficient precipitation in this region, which limits capacity for NPP to increase [53]. Radiation was the predominant factor in the multi-regression analysis (Figure 10), which encompassed both positive and negative influences.…”

Section: Human Activities' Effects On Npp Dynamicsmentioning

confidence: 98%

Spatial–Temporal Dynamics of Grassland Net Primary Productivity and Its Driving Mechanisms in Northern Shaanxi, China

Chen,

Lin,

Chen

et al. 2023

Agronomy

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Grasslands, a vital ecosystem and component of the global carbon cycle, play a significant role in evaluating ecosystem health and monitoring the global carbon balance. In this study, based on the Carnegie–Ames–Stanford Approach (CASA) model, we estimated the Net Primary Productivity (NPP) of grasslands in northern Shaanxi from 2000 to 2020. Employing trend analysis, stability analysis, multiple regression analysis, and residual analysis, the research examined the dynamic changes of grassland NPP and its response to climatic and human factors. Key findings include: (1) Grassland NPP showed a significant increasing trend during 2000–2020, with high-coverage grasslands showing a higher rate of increase than medium and low-coverage grasslands. (2) Most grasslands (>90%) exhibited unstable growth and high NPP fluctuation. (3) While temperature, precipitation, and radiation undulate, the trends were not significant. Rainfall and radiation emerged as dominant factors affecting NPP, with temperature suppressing NPP increase to some extent. (4) Policies like returning farmland to grassland had a positive impact on grassland recovery, vegetation productivity, and regional ecosystem health.

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Section: Human Activities' Effects On Npp Dynamicsmentioning

confidence: 98%

Spatial–Temporal Dynamics of Grassland Net Primary Productivity and Its Driving Mechanisms in Northern Shaanxi, China

Chen,

Lin,

Chen

et al. 2023

Agronomy

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“…Each of the paths we hypothesized has been studied by scholars. For example, temperature to FVC, NPP [102][103][104][105][106]; precipitation to FVC, NPP [107,108]; FVC to NPP [109]; human activities to ES [110]; FVC to ES [111][112][113]; temperature to ES [114]; precipitation to ES [112,115,116]; altitude to ES [117], etc. We quantified the effect of explanatory variables on response variables using standardized path coefficients.…”

Section: Path Analysismentioning

confidence: 99%

“…In areas with moderate NPP values, an increase in precipitation could promote ES growth and virtuous cycles. In areas with high NPP values, precipitation is sufficient to support higher NPP, as high vegetation cover leads to increased evapotranspiration, reducing the positive effect of increased precipitation on WCS, and the advantage of precipitation gradually disappears [112]. Instead, it is the increase in temperature and the disturbance of human activities that can mobilize the activity of ecosystem services in high NPP areas [131].…”

Section: Analysis Of the Individual Drivers Of Ecosystem Servicesmentioning

confidence: 99%

“…The effect of the FVC factor on WCS showed a weak continuously decreasing trend. This decline in the influence of FVC on WCS was primarily attributed to the high evapotranspiration rates observed in the high NPP regions of LPES [111,112].…”

Section: Analysis Of the Individual Drivers Of Ecosystem Servicesmentioning

confidence: 99%

“…In the PREP gradient, the effect of the PREP factor on ES was significantly greater than the other factors, and all showed a trend of increasing, then decreasing, and then increasing as the PREP gradient increased (Figure 11 (11)(12)(13)(14)(15)). The precipitation-based gradient provides insights into the climate distribution in the LPES region and reflects the dominance of precipitation [112,116]. The effect of the temperature factor on C decreased then increased (Figure 11 (11)).…”

Section: Analysis Of the Individual Drivers Of Ecosystem Servicesmentioning

confidence: 99%

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Assessing the Impact of Climate and Human Activities on Ecosystem Services in the Loess Plateau Ecological Screen, China

Wei,

Zeng,

Wang

et al. 2023

Remote Sensing

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The ecosystem services (ES) can be influenced by various environmental factors. In order to efficiently allocate resources and manage ecosystems, it is important to understand the mechanisms by which these environmental effects impact the interactions and trade-offs among different ES. While previous studies have primarily examined the impact of individual environmental factors on ES, the intricate mechanisms underlying the effects of multiple environmental factors have been largely overlooked. In this study, we adopted a path analysis approach that considered interactions among explanatory variables. We analyzed multiple geospatial datasets from various sources, including remote sensing and climate data, to examine the main drivers—precipitation, temperature, FVC (fractional vegetation cover), NPP (net primary productivity), human activities, and altitude—affecting five ecosystem services: carbon sequestration service (C), habitat provision service (HP), soil conservation service (SCS), sand-stabilization service (SSS), and water conservation service (WCS) in arid and semi-arid mountainous regions. Our investigation found that all five ES have shown an upward trajectory over the past two decades. The most significant growth was observed in C, which increased by 39.4%. Among the environmental factors examined, precipitation has been identified as the predominant factor influencing the ES and the synergies and trade-offs among ES. The influence of precipitation on SCS reached a coefficient of 0.726. Human activity factors had the greatest influence on HP of the five ES with a path coefficient of 0.262. Conversely, temperature exhibited a suppressive influence on ES. The impact of factors such as NPP and altitude on ES was comparatively modest. Notably, human activities assumed a substantial contributory role in shaping the relationship encompassing WCS. It is worth noting that individual factors exerted differential effects on ES along distinct environmental gradients, including anthropogenic gradients. In this context, the combination of high altitude and substantial FVC demonstrated a notable contribution to WCS. Our study can provide valuable insights for the management of ES which can be utilized to optimize the regulation of the Loess Plateau Ecological Screen (LPES) ecological construction and promote regional sustainable development.

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Eco-Environment Quality Response to Climate Change and Human Activities on the Loess Plateau, China

Zhang,

Gao,

et al. 2023

Land

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Climate change and human activities have caused a range of impacts on the ecological environment. The Loess Plateau (LP) is critical to the stability and health of ecosystems in central and western China, but there is still a lack of research on spatial and temporal heterogeneity in the effects of climate and human activities on the EEQ of the LP. We quantified the ecological environment quality of the study area from 2001 to 2019 based on the improved remote sensing ecological index (RSEI-2) and studied the spatial and temporal evolution of EEQ and its drivers during this period by trend analysis and multiscale geographic weighted regression (MGWR) model. The EEQ of the LP showed an increasingly slowing trend during 2001–2019, with apparent spatial heterogeneity, the south-central part was the hot spot area of change, and the center of gravity of change shifted 124.56 km to the southwest. The driving effects and ranges of each factor changed over time during the study period, and the positive effects of precipitation (PRE) and temperature (TEM) on the EEQ of the southern LP became more apparent, but the negative effects of TEM on the northwestern part have expanded. The negative effect of the intensity of land utilization (LUI) has increased from north to south and has the most profound impact, while population growth has less impact on the central region. The results of this research indicate that the execution of the Grain to Green Program (GGP) in the LP over the last two decades has been effective, but more attention should be paid to the maintenance of the restoration effect in the central region and the reasonable development of the land in the southern area. This research can enhance the comprehension of alterations in ecological factors that impact the environment of the LP. Additionally, it serves as a foundation for investigating strategies for ecological preservation and sustainable land development.

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Responses of Ecosystem Services to Climate Change: A Case Study of the Loess Plateau

Cited by 4 publications

References 60 publications

Spatial–Temporal Dynamics of Grassland Net Primary Productivity and Its Driving Mechanisms in Northern Shaanxi, China

Spatial–Temporal Dynamics of Grassland Net Primary Productivity and Its Driving Mechanisms in Northern Shaanxi, China

Assessing the Impact of Climate and Human Activities on Ecosystem Services in the Loess Plateau Ecological Screen, China

Eco-Environment Quality Response to Climate Change and Human Activities on the Loess Plateau, China

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