Mapping the evolution and current trends in climate change adaptation science

Climate Risk Management, Год журнала: 2021, Номер 32, С. 100290 - 100290

Опубликована: Янв. 1, 2021

Research on climate change adaptation has increased in number and significance since the 1970s. Yet, volume of information is now difficult to manage given its vast scope spread across journals, institutions, disciplines themes. While an increasing researchers have used systematic literature reviews analyse particular themes within this rapidly growing field research, there still missing overall analysis current state science evolution. This paper fills gap by providing a multifaceted bibliometric review that focused human dimensions how it been constructed time, disciplines, social relationships geographies. Our novel review, spanning from 1978 mid-2020, identifies underpinning foundations literature, leading authors, countries organisations as well dominant research priorities explores these changed over time. results show annual average increase 28.5% publications, with 26,000 authors publishing topic, diversity sources. Priority topics dynamic while some core concepts (vulnerability, resilience, adaptive capacity) sectors (water, agriculture) remained relatively stable. The key challenge going forward consolidate endeavour into more coherent theory turn can better guide support policy practice (science for adaptation).

Язык: Английский

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Impacts of green roofs on water, temperature, and air quality: A bibliometric review

Building and Environment, Год журнала: 2021, Номер 196, С. 107794 - 107794

Опубликована: Март 13, 2021

Язык: Английский

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Comprehensive prediction of potential spatiotemporal distribution patterns, priority planting regions, and introduction adaptability of Elymus sibiricus in the Chinese region

Frontiers in Plant Science, Год журнала: 2025, Номер 15

Опубликована: Янв. 8, 2025

The natural grassland in China is facing increasingly serious degradation. Elymus sibiricus L., as an important native alpine grass, widely used the restoration and improvement of grassland. In this study, geographical distribution environmental data E. were collected, potential spatiotemporal pattern, planting introduction adaptability comprehensively predicted by using ensembled ecological niche model Marxan model. results show that (1) spatial mainly spans 33°-42°N 95°-118°E. It was distributed Qilian Mountains (northeast Qinghai-Tibet Plateau), Taihang (junction Loess Plateau Inner Mongolia Tianshan Mountains; (2) with passage time, suitable regions generally showed a collapse trend, but its main did not obvious change, (centroid) migrated to southwest 2.93 km; (3) current period significantly affected annual range monthly near-surface relative humidity, mean air temperature, evapotranspiration, climate moisture index, elevation, exchangeable Ca2+, available P, H+, precipitation amount, respectively; (4) area cover 2.059 × 105 km2, which (southeast middle part Mountains, southeast Altai (5) six germplasm (LM01-LM06) all high-elevation western China. study aims provide effective theoretical basis for collection, preservation, utilization resources

Язык: Английский

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Scenarios of potential vegetation distribution in the different gradient zones of Qinghai-Tibet Plateau under future climate change

The Science of The Total Environment, Год журнала: 2021, Номер 796, С. 148918 - 148918

Опубликована: Июль 15, 2021

The spatial distribution of potential vegetation types in Qinghai-Tibet Plateau presents a significant vertical zonation. Explicating the differences under future climate change is an important issue for understanding response terrestrial ecosystem to change. Based on observed data 1981–2010 (T0), scenario RCP 2.6, 4.5 and 8.5 released by CMIP5 2011–2040 (T1), 2041–2070 (T2) 2071–2100 (T3), digital elevation model (DEM) data, Holdridge life zone (HLZ) has been improved simulate scenarios different gradient zones plateau. shift mean center calculate direction distance types. ecological diversity index was introduced compute vegetation. simulated results show that there are 17 Plateau. Wet tundra, high-cold moist forest nival major cover 56.26% total area Under three scenarios, would have largest decreased be 3.340 × 104 km2 per decade, wet greatest increased average decade from T0 T3. distributed alpine fastest ratio (11.32% decade) low mountain other slowest (7.54% average. patch connectivity 0.108% 0.290% In general, high generally higher sensitivity plateau future.

Язык: Английский

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Drought-related cumulative and time-lag effects on vegetation dynamics across the Yellow River Basin, China

Ecological Indicators, Год журнала: 2022, Номер 143, С. 109409 - 109409

Опубликована: Сен. 7, 2022

Yellow River Basin (YRB), a climate-sensitive and ecologically compromised area in China, is increasingly affected by extreme climate events (especially droughts) resulting from change frequent human activity. Vegetation responds asymmetrically to drought with cumulative time-lag effects, whereas response across various climatic zones diverse vegetation types the YRB remains unclear. To address this deficiency, we examined spatiotemporal patterns of accumulated lagged effects on dynamics for period 1982 2015. The examination was based long-term Normalized Difference Index (NDVI) multiscale dataset Standardized Precipitation Evapotranspiration (SPEI). Cumulative (time-lag) were determined via maximum correlation between NDVI one- 12-month timescale SPEI (one-month SPEI), as well corresponding months optimal drought. main findings follows: (1) Accumulated significantly approximately 50% 60% vegetated YRB, respectively, strongest varying types. (2) In general, arid zone tended be more sensitive resistant drought, evidenced occurrence mostly short-term (one–three months) medium-term (six–eight months), respectively. This finding may related vegetation's strategy coping water deficits. (3) biome-level grassland cultivated stronger than those forests, which associated differences functional characteristics root systems. (4) Annual availability responded droughts multiple timescales, coefficients decreasing increasing average annual SPEI. These results indicate that areas low susceptible droughts. (5) Independent or type, cumulatively effects. study improves knowledge climate–vegetation relationships provides theoretical support addressing risk changing climate.

Язык: Английский

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Relationship between extreme climate and vegetation in arid and semi-arid mountains in China: A case study of the Qilian Mountains

Agricultural and Forest Meteorology, Год журнала: 2024, Номер 348, С. 109938 - 109938

Опубликована: Фев. 22, 2024

Язык: Английский

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Review on climate change impacts on the Water-Energy-Food-Ecosystems (WEFE) Nexus in the North-Eastern Italian Alps

Climatic Change, Год журнала: 2025, Номер 178(3)

Опубликована: Фев. 27, 2025

Язык: Английский

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Impacts of Climate Change and Anthropogenic Activities on Vegetation Dynamics Considering Time Lag and Accumulation Effects: A Case Study in the Three Rivers Source Region, China

Sustainability, Год журнала: 2025, Номер 17(6), С. 2348 - 2348

Опубликована: Март 7, 2025

Examining the effects of climate change (CC) and anthropogenic activities (AAs) on vegetation dynamics is essential for ecosystem management. However, time lag accumulation plant growth are often overlooked, resulting in an underestimation CC impacts. Combined with kernel normalized difference index (kNDVI), data during growing season from 2000 to 2023 Three Rivers Source Region (TRSR) trend correlation analyses were employed assess kNDVI dynamics. Furthermore, effect upgraded residual analysis applied explore how climatic human drivers jointly influence vegetation. The results show following: (1) showed a fluctuating but overall increasing trend, indicating improvement growth. Although future likely continue improving, certain areas—such as east western Yangtze River basin, south Yellow parts Lancang basin—will remain at risk deterioration. (2) Overall, both precipitation temperature positively correlated kNDVI, acting dominant factor affecting predominant temporal 0-month 1-month accumulation, while primarily 2–3-month 0–1-month accumulation. main category (PA_TL), which accounted 70.93% TRSR. (3) Together, AA drove dynamics, contributions 35.73% 64.27%, respectively, that played role. incorporating combined enhanced explanatory ability factors

Язык: Английский

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Current hydroclimatic spaces will be breached in half of the world’s humid high-elevation tropical ecosystems

Communications Earth & Environment, Год журнала: 2025, Номер 6(1)

Опубликована: Март 12, 2025

Abstract Humid high-elevation tropical ecosystems (HETEs), known as páramos, jalca, or moorlands, are essential for biodiversity conservation and water supply. Yet, a key question remains of how future climate change will affect their hydroclimatic spaces: the multidimensional conditions in which they currently thrive. We use CMIP6-downscaled data to assess potential breaching these spaces concerning long-term means, extremes, seasonality temperature precipitation. Our results show that HETEs Northern South America experience largest increase decrease precipitation, leading current space by up 100%. In Afrotropics Australasia, related means extremes. findings provide relevant information on vulnerability change, offering insights inform integration adaptation measures into policy development management strategies conserving services.

Язык: Английский

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Spatiotemporal Dynamics and Response of Land Surface Temperature and Kernel Normalized Difference Vegetation Index in Yangtze River Economic Belt, China: Multi-Method Analysis

Land, Год журнала: 2025, Номер 14(3), С. 598 - 598

Опубликована: Март 12, 2025

As global climate change intensifies, its impact on the ecological environment is becoming increasingly pronounced. Among these, land surface temperature (LST) and vegetation cover status, as key indicators, have garnered widespread attention. This study analyzes spatiotemporal dynamics of LST Kernel Normalized Difference Vegetation Index (KNDVI) in 11 provinces along Yangtze River their response to based MODIS Terra satellite data from 2000 2020. The linear regression showed a significant KNDVI increase 0.003/year (p < 0.05) rise 0.065 °C/year 0.01). Principal Component Analysis (PCA) explained 74.5% variance, highlighting dominant influence urbanization. K-means clustering identified three regional patterns, with Shanghai forming distinct group due low variability. Generalized Additive Model (GAM) analysis revealed nonlinear LST–KNDVI relationship, most evident Hunan, where cooling effects weakened beyond threshold 0.25. Despite 0.07 increase, high-temperature areas Chongqing Jiangsu expanded by over 2500 km2, indicating limited mitigation. reveals complex interaction between KNDVI, which may provide scientific basis for development management adaptation strategies.

Язык: Английский

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