scholarly journals Spatiotemporal variation research on the driving factors of water yield services on the Qingzang Plateau

2021 ◽  
Author(s):  
Xiaofeng Wang ◽  
Bingyang Chu ◽  
Xiaoming Feng ◽  
Yuehao Li ◽  
Bojie Fu ◽  
...  
Keyword(s):  
Spatiotemporal Variation ◽  
Driving Factors ◽  
Water Yield ◽  
Qingzang Plateau

scholarly journals Spatiotemporal Variation in Ecosystem Services and Their Drivers among Different Landscape Heterogeneity Units and Terrain Gradients in the Southern Hill and Mountain Belt, China

2021 ◽  
Vol 13 (7) ◽  
pp. 1375
Author(s):  
Liang-Jie Wang ◽  
Shuai Ma ◽  
Jiang Jiang ◽  
Yu-Guo Zhao ◽  
Jin-Chi Zhang
Keyword(s):  
Ecosystem Services ◽  
Soil Conservation ◽  
Net Primary Productivity ◽  
Landscape Heterogeneity ◽  
Driving Factors ◽  
Water Yield ◽  
Invest Model ◽  
Casa Model ◽  
Mountain Belt ◽  
Integrated Valuation

Understanding the spatiotemporal heterogeneity of ecosystem services (ESs) and their drivers in mountainous areas is important for sustainable ecosystem management. However, the effective construction of landscape heterogeneous units (LHUs) to reflect the spatial characteristics of ESs remains to be studied. The southern hill and mountain belt (SHMB) is a typical mountainous region in China, with undulating terrain and obvious spatial heterogeneity of ESs, and was selected as the study area. In this study, we used the fuzzy k-means (FKM) algorithm to establish LHUs. Three major ESs (water yield, net primary productivity (NPP), and soil conservation) in 2000 and 2015 were quantified using the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model and Carnegie Ames-Stanford approach (CASA) model. Then, we explored the spatial variation in ESs along terrain gradients and LHUs. Correlation analysis was used to analyze the driving factors of ESs in each terrain region and LHU. The results showed that altitude and terrain niche increased along LHUs. Water yield and soil conservation increased from 696.86 mm and 3920.19 t/km2 to 1061.12 mm and 5117.90 t/km2, respectively, while NPP decreased from 666.95 gC/m2 to 648.86 gC/m2. The ESs in different LHUs differed greatly. ESs increased first and then decreased along LHUs in 2000. In 2015, water yield decreased along LHUs, while NPP and soil conservation showed a fluctuating trend. Water yield was mainly affected by precipitation, temperature and NDVI were the main drivers of NPP, and soil conservation was greatly affected by precipitation and slope. The driving factors of the same ES were different in different terrain areas and LHUs. The variation and driving factors of ESs in LHUs were similar to some terrain gradients. To some extent, LHUs can represent multiple terrain features. This study can provide important support for mountain ecosystem zoning management and decision-making.

scholarly journals Spatiotemporal variation of agroecosystem service trade-offs and its driving factors across different climate zones

2021 ◽  
Vol 130 ◽  
pp. 108154
Author(s):  
Menglong Qiu ◽  
Tim Van de Voorde ◽  
Tao Li ◽  
Chengcheng Yuan ◽  
Guanyi Yin
Keyword(s):  
Spatiotemporal Variation ◽  
Driving Factors ◽  
Service Trade ◽  
Climate Zones ◽  
Trade Offs

Spatio-temporal variation of water yield and its driving factors in Qinling Mountains barrier region

2021 ◽  
Vol 36 (10) ◽  
pp. 2507
Author(s):  
Xiao-feng WANG ◽  
Xin-xin FU ◽  
Bing-yang CHU ◽  
Yue-hao LI ◽  
Yu YAN ◽  
...  
Keyword(s):  
Temporal Variation ◽  
Driving Factors ◽  
Water Yield ◽  
Qinling Mountains ◽  
Barrier Region ◽  
Spatio Temporal

scholarly journals Investigating the compounding effects of environmental factors on ecosystem services relationships for the ecological conservation red line areas

2021 ◽  
Author(s):  
Liyuan Zuo ◽  
Jiangbo Gao
Keyword(s):  
Ecosystem Services ◽  
Potential Evapotranspiration ◽  
Explanatory Power ◽  
Spatial Relationship ◽  
Driving Factors ◽  
Water Yield ◽  
Trade Off ◽  
Trade Offs ◽  
Ecological Conservation ◽  
Red Line

Exploring the driving factors of ecosystem services (ESs) trade-offs/synergies is crucial for ecosystem management, especially in ecological conservation red line (ECRL) areas that maintain regional and national ecological security. Soil conservation (SC), water yield (WY) and carbon sequestration (CS) were simulated in the Beijing ECRL areas. Geographical weighted regression was used to explore the trade-offs/synergies, and the geographical detector was applied to quantitatively identify their driving factors. Results show that (1) the SC and CS show marked synergy which characterized more than 80% of each ECRL area; the proportion of the space area of trade-off and synergy between SC and WY, and WY and CS was roughly 3 to 7 and 4 to 6 in each ECRL area, respectively. (2) The synergy of the three pairs of ESs was most sensitive to terrain factors. The precipitation erodibility of soil and its necessity for vegetation make it a determinant of the trade-off between SC and CS; temperature was the determinant in the trade-off between WY and CS, with an explanatory power of 32.8%; potential evapotranspiration was best able to explain the spatial distribution of the trade-off between SC and WY. (3) The interaction between precipitation and other factors had the greatest explanatory power on the spatial relationship between SC and WY. Precipitation and relief amplitude are the main interactive factors respectively affecting the spatial trade-off and synergy between SC and CS. The trade-off and synergy between WY and CS were most sensitive to the interaction between climate factors and terrain factors.

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