Environmental Science and Pollution Research, Journal Year: 2023, Volume and Issue: 30(54), P. 116348 - 116362
Published: Nov. 1, 2023
Language: Английский
Environmental Science and Pollution Research, Journal Year: 2023, Volume and Issue: 30(54), P. 116348 - 116362
Published: Nov. 1, 2023
Language: Английский
Ecological Informatics, Journal Year: 2024, Volume and Issue: 83, P. 102795 - 102795
Published: Aug. 25, 2024
Language: Английский
Citations
12Frontiers in Environmental Science, Journal Year: 2025, Volume and Issue: 12
Published: Jan. 9, 2025
The
overlap
and
irrational
distribution
of
Production-Living-Ecological
Spaces
(PLES)
has
disrupted
traditional
urban-rural
development
patterns
impeded
regional
integration.
This
study,
focusing
on
the
Yangtze
River
Delta
region,
introduces
a
PLES
framework
constructs
classification
system
based
multitemporal
land
use
data.
CA-Markov
model
was
employed
to
simulate
changes
for
years
2030
2040.
By
quantifying
analyzing
number,
distribution,
transitions
categories,
study
identifies
spatial
temporal
evaluates
coupling
coordination
various
components.
key
findings
are
as
follows:
(1)
proportion
Production-Living
Space
(PLS)
increased
from
9
Language: Английский
Citations
1Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: 31(9), P. 13026 - 13045
Published: Jan. 19, 2024
Language: Английский
Citations
8Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 461, P. 142633 - 142633
Published: May 21, 2024
Language: Английский
Citations
8Ecological Informatics, Journal Year: 2024, Volume and Issue: 82, P. 102720 - 102720
Published: July 11, 2024
Arable land is shrinking, and the ecological strain on such growing daily. To ensure its sustainability, uncovering dynamic changes driving forces crucial. We assessed arable footprint (CEF) in Yellow Huaihai main grain-producing areas from 2010 to 2020, employing productive analyses. Additionally, we built a structural equation model for per capita CEF area, incorporating China's economic theory economic-social-ecological system identify influencing factors. Our findings indicate following: (1) area showed fluctuating upward trend during 2010–2020, while carrying capacity of decreased, resulting surplus, except 2017; (2) land's sustainable pressure index increased, signifying low safety grain producing efficiency indicating resource improvements; (3) reveals that output, conditions, socioeconomics, inputs all impact footprints respective order. results offer valuable insights securing national food sustainability preserving land.
Language: Английский
Citations
7Open Geosciences, Journal Year: 2025, Volume and Issue: 17(1)
Published: Jan. 1, 2025
Abstract By simulating the layout of “Production–Living–Ecological space” under various scenarios in future and exploring trend land use changes, it is great significance to optimize structure ecological environment region. Based on existing data combined with PLUS model, article predicts demand distribution PLES 2040 2060 then studies contribution rate area changes each type change regional quality. The results show that (1) agricultural production main Anyang City from 1980 2020, conversion mainly manifested as living land. (2) In all three scenarios, between 2020 are contraction expansion protection scenario smallest, decrease urban development largest. (3) 2060, varying degrees reduction Ecological quality index (EQI) compared 2020. At same time, environmental closely related (4) result multi-factors, among which annual precipitation has strongest explanatory power, factors synergistic effects. present study intended provide a reference for optimizing pattern region improving
Language: Английский
Citations
0Land, Journal Year: 2025, Volume and Issue: 14(4), P. 703 - 703
Published: March 26, 2025
Investigating spatio-temporal differentiation patterns of land-use conflicts in mountainous and flatland regions provides critical insights for optimizing spatial regulation strategies advancing sustainable regional development. Using the Urban Agglomeration Central Yunnan (UACY) as a case study, production–living–ecological space (PLES) was classified through functional dominance analysis based on 2010–2020 geospatial datasets. Spatio-temporal evolution mountain–dam were analyzed using superposition, dynamic degree analysis, transfer matrices, TuPu methods. A multi-scale conflict index incorporating landscape metrics developed to assess PLES intensities across scales, with contribution indices identifying key conflict-prone types. Analysis revealed distinct distribution evolutionary trajectories during 2010–2020. Forest Ecological Space (FES) Agricultural Production (APS) dominated both entire study area zones, APS exhibiting particular dam regions. Grassland (GES) Other (OES) experienced rapid conversion rates, contrasting stable or gradual expansion trends other Change intensity significantly greater zones compared (FA). exhibited marked heterogeneity. FA demonstrated substantially higher levels than evident scale-dependent variations. Maximum occurred at 4000 m scale, all scales demonstrating consistent escalation period. ULS, FES, WES predominantly low-conflict characterized by stability, whereas APS, Industrial Mining (IMPS), RLS, GES, OES primarily associated high-conflict areas, constituting principal sources.
Language: Английский
Citations
0Land, Journal Year: 2023, Volume and Issue: 12(5), P. 1021 - 1021
Published: May 6, 2023
Structural changes in land use caused by urban development are one of the most important threats to ecosystem services. An in-depth study impacts that different patterns have on service value (ESV) can provide guidance for sustainable planning and ecological conservation. In this research, we sought explore response mechanisms services under scenarios from perspective “production–living–ecological” space (PLES). This combined Patch-generating Land Use Simulation (PLUS) model ESV equivalent factor method simulate PLES Haikou 2035 three business as usual (BAU), conservation (EC) economic (ED), used spatial superposition method, transfer matrix, optimized cross-sensitivity analysis influence The showed a declining trend 2010 2020 was at risk further decline future. reduction water supply constituted major part loss ESV. simulation results demonstrated EC scenario had rational ecologically efficient allocation PLES, with highest lowest sensitivity changes. research serve an reference optimizing structure maintaining stability
Language: Английский
Citations
7Land, Journal Year: 2024, Volume and Issue: 13(7), P. 996 - 996
Published: July 5, 2024
Under the dual carbon goals, relationship between land production-living-ecological function and emissions points to a new direction for spatial planning. This study compiles analyzes coupling coordination degree of 16 cities in Shandong Peninsula urban agglomeration years 2001, 2006, 2011, 2016, 2021. Furthermore, it introduces Tapio decoupling model calculate index degree. The spatiotemporal evolution characteristics coordination, emissions, were analyzed. results indicate that (1) from 2001 2021, increased overall, with an obvious “high east low west” feature pattern. That is caused by difference resource endowment west gap process urbanization, industrial structure transformation, ecological governance. (2) During period, overall increased, significantly reduced growth rate. A polarization phenomenon increase decrease trends within was observed. distribution use showed significant heterotropism. (3) From mainly exhibited three patterns: strong negative decoupling, expansion maintaining good trend overall. These coordinated development level production, living, functions area has improved during research its also shown positive trend. However, there still problem uneven regional development. In future, should adhere pattern “two circles four regions”, which aims promote sharing complementary advantages through specific divisions, achieve region. involves optimizing function, encouraging innovation green industries, deepening environment restoration protection realize under goal.
Language: Английский
Citations
2Journal of Geographical Sciences, Journal Year: 2024, Volume and Issue: 34(11), P. 2212 - 2238
Published: Nov. 1, 2024
Language: Английский
Citations
2