Abundance and Occupancy of Forest Mammals at Mijiang Area in the Lower Tumen River<sup>1a</sup> DOI
Hailong Li, Chang‐Yong Choi

Korean Journal of Environment and Ecology, Journal Year: 2023, Volume and Issue: 37(6), P. 429 - 438

Published: Dec. 31, 2023

Language: Английский

The dominant role of human activity intensity in spatial pattern of ecosystem health in the Poyang Lake ecological economic zone DOI Creative Commons

Qing Lu,

Fan Huanhuan,

Zhang Fuqing

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 166, P. 112347 - 112347

Published: July 8, 2024

Language: Английский

Citations

12

Water Quality, Influential Factors, and Management Strategies from 2016 to 2020 in the Yangtze River Economic Belt, China DOI

Lanyu Lin,

Chunbao Guo,

Yanan Chen

et al.

Chinese Geographical Science, Journal Year: 2025, Volume and Issue: 35(1), P. 175 - 186

Published: Jan. 14, 2025

Language: Английский

Citations

1

Effects of vegetation distribution and landscape pattern on water conservation in the Dongjiang River basin DOI Creative Commons

Leting Lyu,

Siqi Bi,

Yong Yang

et al.

Ecological Indicators, Journal Year: 2023, Volume and Issue: 155, P. 111017 - 111017

Published: Oct. 6, 2023

Water conservation is important for maintaining a well-functioning ecosystem. Using the Soil & Assessment Tool (SWAT) model, we simulated hydrological cycle and evaluated spatial temporal variability of water in Dongjiang River. Spatial autocorrelation analysis geographically weighted regression (GWR) were used to investigate effects landscape patterns normalized difference vegetation index (NDVI) on conservation. Four stations with regular rate, validation period deterministic coefficient R2, efficiency ENS (Nash–Sutcliffe) met adaptation requirements, model accurately process The interannual variation showed non-significant upward trend (0.12 mm/10a), distribution given as follows: midstream > downstream upstream. Regression coefficients NDVI high, medium, low-density forest land sub-basin decreased from upper lower reaches. negative correlation LPI, CONTAG, IJI was concentrated reaches southeast basin, that SHDI middle reaches; LPI PLAND north south, ED southwest northeast. positive grassland watershed's construction an increasingly This study provides scientific support promoting ecosystem comprehensive utilization resources River basin.

Language: Английский

Citations

13

Significant differences in terrestrial water storage estimated by four common methods DOI Creative Commons

Anqi Niu,

Long Sun, Ranhao Sun

et al.

Journal of Hydrology Regional Studies, Journal Year: 2025, Volume and Issue: 58, P. 102238 - 102238

Published: Feb. 20, 2025

Language: Английский

Citations

0

Identification of Attribution of Runoff Changes in the Tumen River Basin Based on Budyko's Hypothesis DOI

Dongqing Huo,

Jiaqi Wu,

Chunzi Zhao

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0

Landscape Stability Assessment and Simulation Analysis Under Urban Expansion: A Case Study of Hangzhou, China DOI

Pei Hui,

Lin Zhang,

Minli Zhou

et al.

Chinese Geographical Science, Journal Year: 2025, Volume and Issue: 35(2), P. 311 - 325

Published: March 7, 2025

Language: Английский

Citations

0

Research on the Driving Factors and Trade-Offs/Synergies of Woodland Ecosystem Services in Zhangjiajie City, China DOI Open Access

S. Zhao,

Wei Zeng, Qian Yang

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(9), P. 3916 - 3916

Published: April 26, 2025

Research on woodland ecosystem services is the premise of formulation regional policies and ecological protection measures in a new round utilization planning. Based remote-sensing images socioeconomic data, this study used InVEST model, geographical detectors, Spearman correlation analysis, coupling coordination degree model to evaluate spatiotemporal changes, driving factors, trade-off/synergies relationship habitat quality (HQ), soil conservation (SC), water (WC), carbon storage (CS) Zhangjiajie City 1995, 2005, 2015, 2022. The results show following: (1) HQ significantly decreased, SC WC fluctuated CS continued increase. (2) Natural factors were predominant, other natural interact increase effect. (3) four dominated by weak synergy, but turned into trade-offs These research can provide theoretical support for optimization tourism development compensation policies, high-quality sustainable City, case management world heritage sites.

Language: Английский

Citations

0

Ectomycorrhizal trees enhanced water-holding capacity in forest ecosystems in northeastern China DOI

Lixin Jing,

Yanbo Yang,

Wenjie Wang

et al.

European Journal of Forest Research, Journal Year: 2024, Volume and Issue: 143(3), P. 813 - 829

Published: Feb. 14, 2024

Language: Английский

Citations

2

Evaluating the inter-annual surplus/deficit dynamic of water retention service in the Yellow River Basin, China DOI Creative Commons
Peng Wang, Mingxiang Xu

Ecological Indicators, Journal Year: 2022, Volume and Issue: 145, P. 109695 - 109695

Published: Nov. 18, 2022

The water retention service (WRS) in the Yellow River Basin is highly critical for ecological security northern China. Since implementation of Grain Green project during 2000, changes WRS and land cover have not been fully revealed, which limited knowledge how anthropogenic activities affected processes. To address issue, this study chose yield-based parameter correction method, adopted Sen's slope test, Mann-Kendall analysis Hurst index methods, firstly analyzing inter-annual from 1990 to 2020. Specifically, a new index, Ecosystem Service Deficit Index was proposed accurately distinguish deficit/surplus state WRS. results change showed that 2020, forest grassland were both increasing at rate +556.5 km2/yr +508.4 km2/yr, respectively, cropland decreasing with trend −965.5 km2/yr. Temporally, weakening (−0.03 mm/yr) 1990–2000 but strengthening 2000–2020 (+0.08 mm/yr). Spatially, decreases mainly occurred downstream, detectable increases headwaters upstream midstream; it noteworthy spatial unsustainable future because less than 0.45 area. ecosystem deficit clearly revealed experienced long (at least 3/4 period) period until 2011, capable distinguishing surplus/deficit. can also be applied assess other services. Overall, integrated roles local practices climate contributed recovery Basin, may last. More active human interventions needed implemented mitigate degradation risks.

Language: Английский

Citations

11

Spatiotemporal Evolution Characteristics and Driving Factors of Water Conservation Service in Jiangxi Province from 2001 to 2020 DOI Open Access
Kangkang Gu, Luyao Ma,

Jian Xu

et al.

Sustainability, Journal Year: 2023, Volume and Issue: 15(15), P. 11941 - 11941

Published: Aug. 3, 2023

Water conservation services are key indicators of ecological services. Against the backdrop frequent extreme weather events and water scarcity caused by global climate change intensified human activities, assessing these their drivers crucial tasks for regional security sustainable development. Jiangxi Province is one first national civilization pilot zones in China, representing an important barrier southern China. Exploring characteristics spatial temporal changes driving factors can facilitate rational development utilization resources construction civilizations. Therefore, based on long time series data, InVEST model was used to explore spatiotemporal evolution services, elucidate trend through Theil–Sen median analysis Mann–Kendall test; then, geographic detector geographically weighted regression were further analyze variability The results showed following: (1) average depth 103.18 mm, showing a pattern “low middle, high surroundings, north low south”. (2) Slight improvements primarily observed (77.49%), with only 1.60% area significant improvements. (3) Land use main driver differentiation, interaction between precipitation forestland had significantly greater effect heterogeneity than any single factor. (4) Obvious occurred factor impacts, natural (precipitation, evapotranspiration, forestland, grassland) having positive impact land-use (construction land cropland) socioeconomic (population density area) negative effect. This study provides reference water-conservation-based ecosystem policy formulation Province.

Language: Английский

Citations

6