Multifunctional trade-off/synergy relationship of cultivated land in Guangdong: A long time series analysis from 2010 to 2030

Wang, Zijin; Yang, Han–Soeb; Hu, Yueming; Peng, Yuanyuan; Luo, Longfu; Su, Shaoqing; Wang, Wei; Wu, Jing

doi:10.1016/j.ecolind.2023.110700

Cited by 8 publications

(2 citation statements)

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“…The relationships among ESs change over time [50]. However, most studies on ESs and their trade-offs/synergies have been static (single year) or discrete time series, which may lead to misinterpretation of the interrelationships between ESs.…”

Section: Spatiotemporal Scale Effectsmentioning

confidence: 99%

“…Nevertheless, the relationships between ES systems are not static trade-offs or synergies but can change due to external factors such as natural variations, climate change, and human activities [8,49]. Focusing only on ESs for discrete years may overlook the impact of continuous trade-offs and synergies, thereby affecting the accuracy of the analysis results [50]. Therefore, it is necessary to investigate the relationships between ESs and their driving mechanisms of continuous long-time series at the grid cells, which can provide decision-makers with more specific and targeted information, formulating more effective environmental management and resource utilization strategies.…”

Section: Introductionmentioning

confidence: 99%

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Mapping and Analyzing the Spatiotemporal Patterns and Drivers of Multiple Ecosystem Services: A Case Study in the Yangtze and Yellow River Basins

Yu,

Xiao,

Bruzzone

et al. 2024

Remote Sensing

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The Yangtze River Basin (YZRB) and the Yellow River Basin (YRB), which are crucial for ecology and economy in China, face growing challenges to ecosystem service (ES) functions due to global population growth, urbanization, and climate change. This study assessed the spatiotemporal dynamics of ESs in the YZRB and the YRB between 2001 and 2021, comprehensively encompassing essential aspects such as water yield (WY), carbon sequestration (CS), soil conservation (SC), and habitat quality (HQ) while also analyzing the trade-offs and synergies among these ESs at the grid cells. The GeoDetector was employed to ascertain individual or interactive effects of natural and anthropogenic factors on these ESs and their trade-offs/synergies. The results showed that (1) from 2001 to 2021, the four ESs exhibited significant spatial disparities in the distribution within two basins, with the overall trend of ESs mainly increasing. YZRB consistently exhibited substantially higher ES values than the YRB. (2) Complex trade-offs and synergies among these ESs were apparent in both basins, characterized by distinct spatial heterogeneity. The spatial relationships of WY–CS, WY–SC, CS–SC, and CS–HQ were mainly synergistic. (3) Precipitation, potential evapotranspiration, elevation, land use and land cover (LULC), and slope influenced ESs in both basins. Notably, interactive factors, particularly the interactions involving LULC and other factors, demonstrated more robust explanatory power for ESs and their trade-offs/synergies than individual drivers. These findings significantly affect the refined ecosystem management and sustainable development decision-making in large rivers or regions.

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Section: Spatiotemporal Scale Effectsmentioning

confidence: 99%