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Spatial and Temporal Variation, Simulation and Prediction of Land Use in Ecological Conservation Area of Western Beijing
Spatial and Temporal Variation, Simulation and Prediction of Land Use in Ecological Conservation Area of Western Beijing
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Spatial and Temporal Variation, Simulation and Prediction of Land Use in Ecological Conservation Area of Western Beijing

Remote sensing (Basel, Switzerland), 2022-03, Vol.14 (6), p.1452 [Peer Reviewed Journal]

2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs14061452

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2
Considering the Joint Impact of Carbon Density Change and Land Use Change Is Crucial to Improving Ecosystem Carbon Stock Assessment in North China
Considering the Joint Impact of Carbon Density Change and Land Use Change Is Crucial to Improving Ecosystem Carbon Stock Assessment in North China
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Considering the Joint Impact of Carbon Density Change and Land Use Change Is Crucial to Improving Ecosystem Carbon Stock Assessment in North China

Forests, 2024-01, Vol.15 (1), p.55 [Peer Reviewed Journal]

COPYRIGHT 2023 MDPI AG ;2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1999-4907 ;EISSN: 1999-4907 ;DOI: 10.3390/f15010055

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3
Uncertainty of Partial Dependence Relationship between Climate and Vegetation Growth Calculated by Machine Learning Models
Uncertainty of Partial Dependence Relationship between Climate and Vegetation Growth Calculated by Machine Learning Models
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Uncertainty of Partial Dependence Relationship between Climate and Vegetation Growth Calculated by Machine Learning Models

Remote sensing (Basel, Switzerland), 2023-06, Vol.15 (11), p.2920 [Peer Reviewed Journal]

COPYRIGHT 2023 MDPI AG ;2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs15112920

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4
How Can We Realize Sustainable Development Goals in Rocky Desertified Regions by Enhancing Crop Yield with Reduction of Environmental Risks?
How Can We Realize Sustainable Development Goals in Rocky Desertified Regions by Enhancing Crop Yield with Reduction of Environmental Risks?
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How Can We Realize Sustainable Development Goals in Rocky Desertified Regions by Enhancing Crop Yield with Reduction of Environmental Risks?

Remote sensing (Basel, Switzerland), 2021-05, Vol.13 (9), p.1614 [Peer Reviewed Journal]

2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs13091614

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5
Planted forest is catching up with natural forest in China in terms of carbon density and carbon storage
Planted forest is catching up with natural forest in China in terms of carbon density and carbon storage
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Planted forest is catching up with natural forest in China in terms of carbon density and carbon storage

Fundamental research (Beijing), 2022-09, Vol.2 (5), p.688-696 [Peer Reviewed Journal]

2022 ;ISSN: 2667-3258 ;EISSN: 2667-3258 ;DOI: 10.1016/j.fmre.2022.04.008

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6
Latitudinal limits to the predicted increase of the peatland carbon sink with warming
Latitudinal limits to the predicted increase of the peatland carbon sink with warming
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Latitudinal limits to the predicted increase of the peatland carbon sink with warming

DOI: 10.1038/s41558-018-0271-1

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7
Latitudinal limits to the predicted increase of the peatland carbon sink with warming
Latitudinal limits to the predicted increase of the peatland carbon sink with warming
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Latitudinal limits to the predicted increase of the peatland carbon sink with warming

info:eu-repo/semantics/openAccess ;DOI: 10.1038/s41558-018-0271-1

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