Landscape Ecology, Journal Year: 2023, Volume and Issue: 38(12), P. 3289 - 3306
Published: June 23, 2023
Language: Английский
Ecological Indicators, Journal Year: 2022, Volume and Issue: 138, P. 108828 - 108828
Published: April 8, 2022
The ecosystem of inland river basin is great significance to the socio-economic stability in arid area. Therefore, evaluate service values (ESVs) necessary for monitor changes. In this paper, response land use/land cover (LULC) during 1990 2020 Aksu River Basin (ARB) ESV was explored. advanced equivalent factor which modified by biomass and used ESVs ARB. A patch-generating use simulation (PLUS) simulate spatial distribution considering influences temperature (TEM), precipitation (PRE), NDVI, DEM, Soil organic matter content (SOMC) Human Activity Intensity Land Surface (HAILS) ARB 2030. results show that total study area showed an increasing trend (1.63 × 1010 yuan 5.64 yuan) from 2020. grassland had highest ESV, accounting nearly 50% detection q value following explanatory power ESV: HAILS (0.332) > NDVI (0.126) TEM (0.125) PRE (0.108) DEM(0.096) SOMC(0.089)and interaction between effect 0.493 on ESV. shape index (SI) negatively correlated with correlation coefficient −0.794. aggregation (AI) Shannon's Diversity Index (SHDI) were positively coefficients 0.872 0.878, respectively. a rapid increase 2030, would still be largest, per unit plowland, forestland, unused water 20131.07 yuan/km2, 64743.29 3054.21 41398.54 This paper can help decision-makers achieve sustainable management develop land-use strategies basins oases.
Language: Английский
Citations
100
Ecological Indicators, Journal Year: 2023, Volume and Issue: 147, P. 110009 - 110009
Published: Feb. 14, 2023
Land use is a crucial factor affecting ecosystem service value (ESV), and forecasting future land changes ESV response can guide urban planning sustainable development decisions. However, the traditional Cellular Automata (CA) model supposes that each cell has only one type at time step, neglects mixed structure proportional distribution of units, does not take into account its quantitative continuous dynamic change, lacks exploration quantity spatial pattern optimization. This study employed novel mixed-cell cellular automata (MCCA) approach, coupled with system dynamics (SD) to predict spatiotemporal under natural increase scenario (NIS), economic (EDS) ecological protection (EPS) in Xi’an, China, 2030. The equivalent coefficient method was utilized investigate heterogeneity sensitivity ESV. results demonstrated SD-MCCA exhibited remarkable prediction accuracy robustness. main 2000–2015 were due expansion, conversion arable construction land, between grassland land. total increased from 19554.36×106 CNY 2000 19618.39×106 EPS 2030, contribution climate regulation hydrological highest. Spatial revealed certain regularity, high region chiefly concentrated woodland favorable conditions. variations NIS improved ESV, while had negative transformations EDS. research provides new way identify relationship utilization scenarios which great significance for management resources formulation compensation standards.
Language: Английский
Citations
74
Sustainability, Journal Year: 2024, Volume and Issue: 16(14), P. 6237 - 6237
Published: July 22, 2024
Changes in land use patterns, types, and intensities significantly impact ecosystem services. This study follows the time series logic from history to expected future investigate spatial temporal characteristics of changes Ezhou their potential impacts on services value (ESV). The results show that Markov–FLUS model has strong applicability predicting pattern use, with a Kappa coefficient 0.9433 FoM 0.1080. Between 2000 2020, construction expanded continuously, while water area remained relatively stable, other types experienced varying degrees contraction. Notably, compared 2000, it by 70.99% 2020. Moreover, watershed 9.30% 2010, but there was very little change following 10 years. Under three scenarios, significant differences were observed City, driven human activities, particularly expansion land. In inertial development scenario, 313.39 km2 2030, representing 38.30% increase Conversely, under farmland protection increased 237.66 km2, 4.89% rise However, ecological priority 253.59 10.13% Compared ESV losses inertia scenarios USD 4497.71 1072.23, respectively, 2030. scenario 2749.09, emphasizing importance prioritizing City’s development. may provide new clues for formulation regional strategies sustainable restoration.
Language: Английский
Citations
32
The Science of The Total Environment, Journal Year: 2021, Volume and Issue: 809, P. 151153 - 151153
Published: Oct. 22, 2021
Language: Английский
Citations
68
Ecological Indicators, Journal Year: 2022, Volume and Issue: 144, P. 109514 - 109514
Published: Oct. 3, 2022
Understanding the impact of land use change on ecosystem service values (ESV) will provide a valuable reference for formulation and implementation ecological restoration programs (ERPs) policies. The Guizhou Province is typical karst region with fragile in southwest China. During past decades, multiple ERPs, especially Grain Green Program (GFGP), have been implemented this region, which has resulted dramatic change. However, how ESV responded to remains unclear. Moreover, few studies addressed response different intensities ERPs future. This study adopted benefit transfer method quantitatively evaluate contributions transitions from 2000 2020. we designed three GFGP scenarios explore intensity identify priority areas. results showed that total experienced net increase 10.64 billion USD 2020, was mainly attributed expansion forestland water area. transition farmland loss 5.07 ESV, accounting 53.66% loss, should receive enough attention. by 17.07 USD, 30.16 48.58 under mild GFGP, moderate strong scenarios, respectively. high-intensity enhanced trade-off relationship between provision services other kinds (i.e. regulating services, culture habitant services). scenario converting slope greater than 20° into forestland) optimal Zunyi, Bijie, Qiandongnan be areas implement taken consideration suitable determined based local characteristics GFGP. can references formulating optimizing policy Province.
Language: Английский
Citations
59
Sustainability, Journal Year: 2022, Volume and Issue: 14(11), P. 6926 - 6926
Published: June 6, 2022
Global change, population growth, and urbanization have been exerting a severe influence on the environment, including social system ecosystem. To find solutions based nature, clarifying complicated mechanisms feedback among land use/land cover changes, ecosystem services, human well-being, is increasingly crucial. However, in-depth linkages these three elements not clearly systematically illustrated, present research paths summarized well, future trends this topic reasonably discussed. In sense, purpose of paper to provide an insight into how well-being are linked, as well their relationships, interacting ways, applications in solving ecological socioeconomic problems, reveal trends. Here, we use systematic literature review peer-reviewed conclude state art progress, emphasize hotspot, trend nexus aspects. Results show that (1) services generally altered by changes type, spatial pattern, intensity; (2) usually used for supporting poverty alleviation, health, biodiversity conservation, sustainable development; (3) should mainly focus strengthening multiscale correlation, driving force analysis, correlation different group characteristics, types service preferences, impact climate change well-being. This study provides enhanced understanding aspects reference studies mitigate relevant problems.
Language: Английский
Citations
47
Environmental Science & Policy, Journal Year: 2022, Volume and Issue: 137, P. 301 - 313
Published: Sept. 18, 2022
Language: Английский
Citations
44
Ecological Indicators, Journal Year: 2023, Volume and Issue: 154, P. 110868 - 110868
Published: Aug. 30, 2023
The effects of land use/cover change (LUCC) on the spatial distribution and ecosystem service value (ESV) are still ambiguous, cannot effectively guide formulation use (LU) management policies based concept harmonious development. Therefore, LUCC data from 1980 to 2020, this study adopted MCE-CA-Markov model simulate predict under Business As Usual (BAU) Ecological Development Priority (EDP) scenarios in 2030 2050. historical future ESVs as well ESV were calculated Gansu province, Northwest China. results showed that LU province changed greatly between with an increase Forest (568.62 km2), medium- high-coverage grassland (1517.58 Construction (2264.58 a decrease Farmland (-730.17 km2) Unused (-2858.58 resulting 8.162 billion CNY total ESV. From 2020 2050, EDP scenario will be more conducive ESV, increment (52.765 CNY) being much higher than BAU (3.885 CNY). growth mainly result expansion Forest, Water, Grassland, accounting for 55.4%, 48.6%, 19.1% increment, respectively, while attributed changes land, −16.2% −10.8% respectively. have certain reference structure optimization ecological benefit northwest
Language: Английский
Citations
28
Ecological Indicators, Journal Year: 2023, Volume and Issue: 151, P. 110249 - 110249
Published: April 24, 2023
Ecosystem service value (ESV) in arid regions is subject to multiple factors, and the main factors affecting ESV may vary different regions. However, there are fewer studies concerned with spatial heterogeneity of influencing In this study, we selected five typical sub-basins Tarim River Basin (TRB), including Kashghar (KRB), Weigan (WRB), Dinah (DRB), Keriya (KRRB), Qarqan (QRB) river basins, as research objects investigate ESV. Firstly, estimated by utilizing LULC data sets benefits transfer methods. Next, conducted a systematic analysis variations Finally, analyzed driving variation using geographical detector model. Our results show that: (1) During 1990–2018, various land use types underwent complex dynamic transformations, conversion grassland water bodies into cropland unused land. (2) Over 29-year study period, studied TRB decreasing trend total during largest reduction observed KRRB (-230.64 × 107 USD), followed WRB (-105.43 smallest QRB (-10.31 USD). Moreover, environment depuration (ED), climate regulation (CR), hydrological (HR), soil conservation (SC) were key components high area. (3) The distribution demonstrated strong positive autocorrelation, low values clustering on scale. forces revealed that differentiation result synergistic effect natural such elevation, temperature, precipitation, well anthropogenic socioeconomic factors. Based obtained, our serves crucial foundation for implementing necessary measures aimed at achieving ecological security promoting sustainable development
Language: Английский
Citations
27
Ecological Indicators, Journal Year: 2021, Volume and Issue: 129, P. 108004 - 108004
Published: July 21, 2021
Revegetation practices have continued for nearly 20 years in the agro-pastoral ecotone of northern China (AENC), but it still remains unknown how human-induced efforts contributed to vegetation restoration. This study analyzed spatiotemporal dynamics coverage AENC during 2000–2020 terms normalized difference index (NDVI) using MODIS NDVI datasets, projected future trend variations, and was first quantify relative contributions climatic anthropogenic impacts on variations by residual analysis. The results showed that greening recent due pronounced increases at a rate 0.00623 year−1, unsustainable as whole, especially central AENC, where large areas will degrade future. Specifically, jointly determined almost 89% AENC. Human activities, large-scale afforestation, most important driver result role approximately 66% (34% from climate change). Despite significant expansion forest coverage, excessive afforestation had complex unpredictable growth, hence eco-restoraiton is better make recover its natural form. revealed more uptrend than previously understood, highlighted decisive human activities over last years, expected offer understanding information local ecological
Language: Английский
Citations
52