scholarly journals Climate-Relevant Land Use and Land Cover Change Policies

2016 ◽  
Vol 97 (2) ◽  
pp. 195-202 ◽  
Author(s):  
Rezaul Mahmood ◽  
Roger A. Pielke ◽  
Clive A. McAlpine

Abstract Both observational and modeling studies clearly demonstrate that land-use and land-cover change (LULCC) play an important biogeophysical and biogeochemical role in the climate system from the landscape to regional and even continental scales. Without comprehensively considering these impacts, an adequate response to the threats posed by human intervention into the climate system will not be adequate. Public policy plays an important role in shaping local- to national-scale land-use practices. An array of national policies has been developed to influence the nature and spatial extent of LULCC. Observational evidence suggests that these policies, in addition to international trade treaties and protocols, have direct effects on LULCC and thus the climate system. However, these policies, agreements, and protocols fail to adequately recognize these impacts. To make these more effective and thus to minimize climatic impacts, we propose several recommendations: 1) translating international treaties and protocols into national policies and actions to ensure positive climate outcomes; 2) updating international protocols to reflect advancement in climate–LULCC science; 3) continuing to invest in the measurements, databases, reporting, and verification activities associated with LULCC and LULCC-relevant climate monitoring; and 4) reshaping Reducing Emissions from Deforestation and Forest Degradation+ (REDD+) to fully account for the multiscale biogeophysical and biogeochemical impacts of LULCC on the climate system.

2016 ◽  
Vol 26 (7) ◽  
pp. 889-903 ◽  
Author(s):  
Jiyuan Liu ◽  
Quanqin Shao ◽  
Xiaodong Yan ◽  
Jiangwen Fan ◽  
Jinyan Zhan ◽  
...  

2020 ◽  
Vol 11 (2) ◽  
pp. 1
Author(s):  
Mah Coulibaly ◽  
Stephen Adu Bredu ◽  
Badabate Diwediga ◽  
Souleymane S. Traore ◽  
Noëllie A. YAO ◽  
...  

Assessment of changes in carbon stock from land use and land cover change in necessary for carbon emissions/removals monitoring and enable countries to comply in line with the Good Practice Guidance of IPCC. This study aimed to estimate and map the historical changes in carbon emission and removal from land use and land cover change from 1986 to 2016 in Sudan savannah ecological zone of Ghana. Nested plot design was applied for field measurement, and Random forest algorithm was used to classify images. The zone was stratified into four Districts and each District further stratified into various land use and land cover (LULC) classes. Emission factors were determined for each LULC. Activity data were obtained from the spatial analysis. The overall carbon released from forest degradation and deforestation was found to be 554,684.96 Mg CO2 or 77.19% with 163,956.93 Mg or 31.84% removed. The inter-annual changes exhibited a decrease from 1986 to 1999, 1999 to 2006 and 2006 to 2016 with value being 642,342.79, 545,125.53 and 445,142.17 Mg CO2, respectively. More CO2 was released from forest degradation and in the area where cropland and forest have been converted to shrub/grassland; whereas carbon was removed in the area where shrub/grassland has been converted to cropland and/or forest land. However, more carbon was recorded in cropland compared to forest and shrub/grassland, which explains the difference in emission factor from carbon. Based on this finding reforestation and REDD+ implementation will be an efficient strategy for sustainable development in the Sudan Savannah ecological zone. In addition, farmers should be encouraged to maintain more trees on their farms to compensate for the forest loss.


2014 ◽  
Vol 35 (12) ◽  
pp. 3661-3675 ◽  
Author(s):  
Wenjian Hua ◽  
Haishan Chen ◽  
Shanlei Sun ◽  
Liming Zhou

2011 ◽  
Vol 13 (5) ◽  
pp. 695-700
Author(s):  
Zhihua TANG ◽  
Xianlong ZHU ◽  
Cheng LI

2021 ◽  
Vol 10 (5) ◽  
pp. 325
Author(s):  
Ima Ituen ◽  
Baoxin Hu

Mapping and understanding the differences in land cover and land use over time is an essential component of decision-making in sectors such as resource management, urban planning, and forest fire management, as well as in tracking of the impacts of climate change. Existing methods sometimes pose a barrier to the effective monitoring of changes in land cover and land use, since a threshold parameter is often needed and determined based on trial and error. This study aimed to develop an automatic and operational method for change detection on a large scale from Moderate Resolution Imaging Spectroradiometer (MODIS) data. Super pixels were the basic unit of analysis instead of traditional individual pixels. T2 tests based on the feature vectors of temporal Normalized Difference Vegetation Index (NDVI) and land surface temperature were used for change detection. The developed method was applied to data over a predominantly vegetated area in northern Ontario, Canada spanning 120,000 sq. km from 2001–2016. The accuracies ranged between 78% and 88% for the NDVI-based test, from 74% to 86% for the LST-based test, and from 70% to 86% for the joint method compared with manual interpretation. Our proposed method for detecting land cover change provides a functional and viable alternative to existing methods of land cover change detection as it is reliable, repeatable, and free from uncertainty in establishing a threshold for change.


2021 ◽  
Vol 125 ◽  
pp. 107447 ◽  
Author(s):  
Rehana Rasool ◽  
Abida Fayaz ◽  
Mifta ul Shafiq ◽  
Harmeet Singh ◽  
Pervez Ahmed

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