Exploring spatiotemporal dynamics of NDVI and climate-driven responses in ecosystems: Insights for sustainable management and climate resilience-Reference-Cited by-同舟云学术

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Exploring spatiotemporal dynamics of NDVI and climate-driven responses in ecosystems: Insights for sustainable management and climate resilience

Published:2024-05 Issue: Volume:80 Page:102532
ISSN:1574-9541
Container-title:Ecological Informatics
language:en
Short-container-title:Ecological Informatics

Author:

Mehmood Kaleem,Anees Shoaib Ahmad,Rehman Akhtar,Pan Shao'’an,Tariq Aqil,Zubair Muhammad,Liu Qijing,Rabbi Fazli,Khan Khalid Ali,Luo Mi

Funder

Nanning Normal University

Publisher

Elsevier BV

Reference113 articles.

1. Carbon emission from deforestation, forest degradation and wood harvest in the temperate region of Hindukush Himalaya, Pakistan between 1994 and 2016;Ahmad;Land Use Policy,2018

2. Field Crops Research Climate warming and management impact on the change of phenology of the rice-wheat cropping system in Punjab, Pakistan;Ahmad;Field Crop Res.,2019

3. Tree distribution pattern, growing stock characteristics and carbon mitigation potential of different forests ecosystems in kumrat, hindukush region of northern Pakistan;Ahmad;Pak. J. Bot.,2019

4. Assessment of long-term rainfall variability and trends using observed and satellite data in Central Punjab, Pakistan;Ahmad;Atmosphere (Basel),2022

5. Association of the Female Flight Ability of Asian spongy moths (Lymantria dispar asiatica) with locality, age and mating: a case study from China;Akram;Forests,2022

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1. Assessment of climatic influences on net primary productivity along elevation gradients in temperate ecoregions;Trees, Forests and People;2024-12

2. Monitoring and prediction of the LULC change dynamics using time series remote sensing data with Google Earth Engine;Physics and Chemistry of the Earth, Parts A/B/C;2024-12

3. Integrated nexus approach to assessing climate change impacts on grassland ecosystem dynamics: A case study of the grasslands in Tanzania;Science of The Total Environment;2024-11

4. Driving forces and prediction of urban open spaces morphology: The case of Shanghai, China using geodetector and CA-Markov model;Ecological Informatics;2024-09

5. Integration of machine learning and remote sensing for above ground biomass estimation through Landsat-9 and field data in temperate forests of the Himalayan region;Ecological Informatics;2024-09

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