Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Jinghui Meng"'
Publikováno v:
Forests, Vol 15, Iss 9, p 1590 (2024)
Quantification of soil water-physical properties and their spatial variation is important to better predict soil structure and functioning, as well as associated spatial patterns in the vegetation. The provision of site-specific soil data further fac
Externí odkaz:
https://doaj.org/article/1de67129808e4355959b4b7bc1637772
Autor:
Muhammad Tariq Badshah, Khadim Hussain, Arif Ur Rehman, Kaleem Mehmood, Bilal Muhammad, Rinto Wiarta, Rato Firdaus Silamon, Muhammad Anas Khan, Jinghui Meng
Publikováno v:
Frontiers in Forests and Global Change, Vol 7 (2024)
IntroductionThis study delves into the spatiotemporal dynamics of land use and land cover (LULC) in a Metropolitan area over three decades (1991–2021) and extends its scope to forecast future scenarios from 2031 to 2051. The intent is to aid sustai
Externí odkaz:
https://doaj.org/article/63d5cebf804e42f9a3bebd0e0c4cab66
Publikováno v:
Forests, Vol 14, Iss 10, p 2038 (2023)
Researchers build growth models to predict the growth of forest stands and propose management measures to improve the overall quality of these stands. In this study, data collected from 91 sample plots from the eighth (2010) and ninth (2015) Chinese
Externí odkaz:
https://doaj.org/article/967d887f4fc64d1ab8979908a3d4599e
Publikováno v:
Land, Vol 12, Iss 8, p 1610 (2023)
Human-caused environmental change has profoundly impacted resource management and land use patterns in Bangladesh’s Chittagong Hill Tracts. This study used multi-temporal Landsat images from 1998, 2008, and 2018 to analyze land use and land cover c
Externí odkaz:
https://doaj.org/article/e471c01c06c64550afbb5dccbbb80bdc
Publikováno v:
Forests, Vol 14, Iss 8, p 1539 (2023)
Masson pine natural forests are ecologically and economically valuable forest ecosystems extensively distributed across China. However, they have been subject to deforestation due to human disturbance. Moreover, climate change affects the growth, mor
Externí odkaz:
https://doaj.org/article/3bb1b25bce5b4a49ab31361af43376b6
Autor:
Rui Yang, Jinghui Meng
Publikováno v:
Forests, Vol 13, Iss 12, p 1976 (2022)
The rapid development of non-parametric machine learning methods, such as random forest (RF), extreme gradient boosting (XGBoost), and the light gradient boosting machine (LightGBM), provide new methods to predict the site index (SI). However, few st
Externí odkaz:
https://doaj.org/article/fe2ce0f5982644af984981f490514be8
Publikováno v:
Forests, Vol 13, Iss 12, p 2003 (2022)
Species richness and diversity substantially affect forest structures and function and are critical indicators of sustainable forest management. Sampling surveys are widely used in forest inventories because they efficiently assess forest characteris
Externí odkaz:
https://doaj.org/article/325b7cf819da49d9b5107600990f91ca
Publikováno v:
Forests, Vol 13, Iss 4, p 574 (2022)
Larix gmelinii natural forests, which are of great ecological and economic importance, are mainly distributed in northeast China. Sustainable management of these forests play a vital role in ecological security in northeast China, especially in the c
Externí odkaz:
https://doaj.org/article/d20400dbcb1d4474b124d2149fc1983f
Publikováno v:
Forests, Vol 11, Iss 11, p 1216 (2020)
Crown ratio (CR) and height to crown base (HCB) are important crown characteristics influencing the behavior of forest canopy fires. However, the labor-intensive and costly measurement of CR and HCB have hindered their wide application to forest fire
Externí odkaz:
https://doaj.org/article/9ad9531ada044821b419381c9b30dc86
Publikováno v:
Forests, Vol 5, Iss 12, Pp 3199-3221 (2014)
We transformed a Pinus massoniana plantation, the most important conifer plantation in southern China, with four different transformation treatments, in which Pinus massoniana was thinned to a density of 70%, and then differing richness and compositi
Externí odkaz:
https://doaj.org/article/8fc8d5af0ee6410d85dc818d6d9591f4