Ecological Restoration and Zonal Management of Degraded Grassland Based on Cost–Benefit Analysis: A Case Study in Qinghai, China DOI Open Access
Ziyao Wang, Feng Li, Donglin Xie

и другие.

Sustainability, Год журнала: 2024, Номер 16(24), С. 11123 - 11123

Опубликована: Дек. 18, 2024

The Qinghai–Tibetan Plateau (QTP) has the largest area of natural grassland in China, and continuous degradation poses a serious threat to regional ecological security sustainable resource management. It is essential comprehensively evaluate cost–benefit differences drivers across various zones enhance management practices. This study presents zonal framework for restoration degraded grasslands based on analysis, specifically applied Qinghai Northeastern QTP. results indicate: (1) Although overall NDVI shows an upward trend, some areas still exhibit significant degradation. (2) Cost–benefit analysis can divide into four types Ecological Management Zones (EMZs): high-cost–high-benefit zone, high-cost–low-benefit low-cost–low-benefit low-cost–high-benefit zone. (3) driving factors show different EMZs. Based these research findings, differentiated spatial planning strategies were developed each EMZ. not only provides scientific methodology but also offers important insights resources QTP other ecologically sensitive areas.

Язык: Английский

Random forest-based analysis of land cover/land use LCLU dynamics associated with meteorological droughts in the desert ecosystem of Pakistan DOI Creative Commons

Zulqadar Faheem,

Syed Jamil Hasan Kazmi, Saima Shaikh

и другие.

Ecological Indicators, Год журнала: 2024, Номер 159, С. 111670 - 111670

Опубликована: Фев. 1, 2024

Dry land ecosystems extend over 40 % of the Earth, supporting an estimated 3 billion human population. Thus, quantifying LCLU changes in such is essential for achieving sustainable development goals. In this context, research aimed to examine past three decades (1990 – 2020) arid ecosystem Pakistan, i.e., Cholisatn desert. Three remote sensing indices, normalized difference vegetation index (NDVI), barren (NDBaI), and top grain soil (TGSI) are taken as representatives their temporal relationship associated with meteorological drought, e.g. standardized precipitation (SPI). Moreover, machine learning-based random forest (RF) classification followed by change detection techniques was implemented. Results from RF classifier revealed applicability accurately predicting LULC validation overall accuracy 0.99. Output interesting finding where desert experienced significant last decades. The highest expansion (4.4 %) took place 2014 2020 at expense reduction (-6.3 %). Mann-Kendall trend (MK) Sen's slope (SS) analysis showed a (P < 0.001) increasing NDVI (SS = 0.004), SPI 0.01 0.04) decreasing NDBaI TGSI -0.001, −0.005). Interestingly, positive Pearson correlation range (r 0.6–0.8) SPI-1 6, negative 0.5–0.7) indices reveals strong linear between drought. provides substantial implications policy makers stakeholders emphasizing need proactive strategies drought resistant improve maintain ecological health combating impacts climatic change.

Язык: Английский

Процитировано

10

Multi-Scenario Land Use/Cover Change and Its Impact on Carbon Storage Based on the Coupled GMOP-PLUS-InVEST Model in the Hexi Corridor, China DOI Open Access
Yang Zhang,

Nazhalati Naerkezi,

Yun Zhang

и другие.

Sustainability, Год журнала: 2024, Номер 16(4), С. 1402 - 1402

Опубликована: Фев. 7, 2024

Understanding the relationship between land use and carbon storage is vital for achieving sustainable development goals. However, our understanding of how develops under policy planning still incomplete. In this study, a comprehensive framework that integrates Gray Multi-objective Optimization Programming (GMOP), Patch-generating Land Use Simulation (PLUS) model, Integrated Valuation Ecosystem Services Trade-offs (InVEST) models introduced to evaluate dynamics ecosystem services. Two scenarios have been established estimate Cover Change (LUCC) patterns in Hexi Corridor by 2035: business-as-usual (BAU) scenario, developed based on historical trends, ecological conservation scenario (ECS), optimized with multiple objectives. The results show following: (1) From 2000 2020, predominant type was unutilized land, LUCC mainly involving transformation grass land. (2) Carbon increased approximately 9.05 × 106 t from 2020 due LUCC, characterized higher levels south lower north. (3) areas arable are expected continue increasing until 2035, while extent projected decrease. ECS poised create balance protection economic development. (4) By both BAU an increase Corridor, result most significant gains. These research findings provide valuable insights administrators researchers, guiding more rational restoration policies achieve peaking neutrality.

Язык: Английский

Процитировано

9

Evaluating the nutritional, therapeutic, and economic potential of Tetragonia decumbens Mill.: A promising wild leafy vegetable for bio-saline agriculture in South Africa DOI Creative Commons
Avela Sogoni, Muhali Olaide Jimoh, Sihle Ngxabi

и другие.

Open Agriculture, Год журнала: 2025, Номер 10(1)

Опубликована: Янв. 1, 2025

Abstract Global agriculture feeds over seven billion people and alarmingly, this number is expected to increase by a further 50% 2050. To meet the additional food demand, world development report has estimated that crop production should 70–100% However, climate change, expanding soil salinization, developing shortages of freshwater have negatively affected edible plants around world. Current attempts adapt these conditions include use salt-tolerant plant species with potential economic value fulfil increasing demand escalated human population. The wild halophyte Tetragonia decumbens commonly known as dune spinach be used leafy vegetable, source dietary salt, in phytoremediation secondary metabolites. it remains underutilized South Africa commercial farming never been explored. This review examined domesticating describing its morphology ecology, propagation cultivation requirements well on health saline soils. Furthermore, analysis useful towards research popularization underexploited halophyte.

Язык: Английский

Процитировано

1

Assessment of spatio-temporal dynamics of land degradation and desertification in Pakistan and its impact on agriculture productivity DOI Creative Commons

Riaz Ul Hissan,

Hamza Shafiq, Abdelmohsen A. Nassani

и другие.

Environment Development and Sustainability, Год журнала: 2024, Номер unknown

Опубликована: Июль 9, 2024

Abstract Various natural and anthropogenic activities such as climate change, urbanization industrialization play a vital role in changing the land characteristics. These changes does not only affect human lives activities, but also results tremendous decrease agricultural productivity arable land. Thus, purpose of this study is to analyze degradation desertification Pakistan using satellite imageries data acquired from Landsat 8 9. For empirical analysis, various indices Normalized Difference Vegetation Index, Bare Soil Supervised classification Land Surface Temperature are examined Google earth engine cloud computing platform. The showed that desertified built-up-land increasing, while degraded land, vegetative decreasing area. Also, surface temperature analysis rise up 3.06 0 C compared previous two years. Moreover, estimated findings regression Index positively affects Temperature. important for government concern stakeholders take necessary measures stop conversion productive green into unproductive

Язык: Английский

Процитировано

5

Identification and dynamic evolution of land use conflict potentials in China, 2000–2020 DOI Creative Commons
Shanshan Zong,

Shan Xu,

Xinyao Jiang

и другие.

Ecological Indicators, Год журнала: 2024, Номер 166, С. 112340 - 112340

Опубликована: Июль 13, 2024

Язык: Английский

Процитировано

5

Early warning signals of grassland ecosystem degradation: A case study from the northeast Qinghai-Tibetan Plateau DOI
Yuxin Wang, Hu Liu,

Wenzhi Zhao

и другие.

CATENA, Год журнала: 2024, Номер 239, С. 107970 - 107970

Опубликована: Март 13, 2024

Язык: Английский

Процитировано

4

Land use cover changes abated terrestrial ecosystem carbon sink in China during the past four decades DOI Creative Commons

Xueqing Jiang,

Jinxun Liu, Changhui Peng

и другие.

All Earth, Год журнала: 2025, Номер 37(1), С. 1 - 14

Опубликована: Янв. 15, 2025

Changes in land use and cover can strongly affect terrestrial carbon balance, which turn the calculation of sinks that will keep future temperature within desired limits. Understanding how changes influence is challenging. Here, we simulated net balance across China with full consideration between 1981 2020 using dynamic global vegetation model. The results indicated sink ecosystem have grown steadily particularly since 2001, average values primary productivity, productivity biome were 3317 TgC • yr−1, 325 yr−1 70 yr−1. However, during period, cumulatively reduced by 1,353.00 TgC, 1,290.71 226.93 TgC. Land created a source effect abated 1981. Our findings may help guide policies to regulate order achieve neutrality future.

Язык: Английский

Процитировано

0

Detecting the Phenological Threshold to Assess the Grassland Restoration in the Nanling Mountain Area of China DOI Creative Commons
Zhenhuan Liu, Sujuan Li,

Yueteng Chi

и другие.

Remote Sensing, Год журнала: 2025, Номер 17(3), С. 451 - 451

Опубликована: Янв. 28, 2025

The dynamics of vegetation changes and phenology serve as key indicators interannual in productivity. Monitoring the Nanling grassland ecosystem using remote sensing index is crucial for rational development, utilization, protection these resources. Grasslands hilly areas southern China’s middle low mountains have a high restoration efficiency due to favorable combination water temperature conditions. However, dynamic adaptation process under combined effects climate change human activities remains unclear. aim this study was conduct continuous phenological monitoring ecosystem, evaluate its seasonal characteristics, trends, thresholds changes. Normalized Difference Phenology Index (NDPI) values Mountains’ grasslands from 2000 2021 calculated MOD09A1 images Google Earth Engine (GEE) platform. Savitzky–Golay filter Mann–Kendall test were applied time series smoothing trend analysis, growing seasons extracted annually Seasonal Trend Decomposition LOESS. A segmented regression method then employed detect based on cover percentage. results showed that (1) NDPI increased significantly (p < 0.01) across all patches, particularly southeast, with notable rise 2010 2014, following an eastern western central mutation sequence. (2) annual lower upper 0.005~0.167 0.572~0.727, which mainly occurred January–March June–September, respectively. (3) Most same periods increasing season length varying 188 247 days. (4) overall potential productivity improved. (5) mountain associated coverage mean values, threshold identified at value 0.5 2.1% coverage. This indicates ensure sustainable development conservation ecosystems, targeted management strategies should be implemented, regions where factors influence fluctuations.

Язык: Английский

Процитировано

0

Unstable changes in ecological quality of the four major sandy lands in northern China based on Google Earth Engine DOI Creative Commons

Haowen Ma,

Yongfang Wang,

Enliang Guo

и другие.

Ecological Indicators, Год журнала: 2025, Номер 171, С. 113195 - 113195

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

Revealing Divergence in Soil Carbon Limitation Through Microbial Necromass in Humid and Arid Chronosequences of Alpine Grassland Restoration DOI
Xu Deng, Jie Shen,

Yanbao Lei

и другие.

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0