The Nonradiative Effect Dominates Local Surface Temperature Change Caused by Afforestation in China

Ge, Jun; Guo, Weidong; Pitman, Andrew J.; Kauwe, Martin G. De; Xuelong, Chen; Fu, Congbin

doi:10.1175/jcli-d-18-0772.1

Cited by 50 publications

(67 citation statements)

References 68 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Using the forest change data based on a coarse spatial resolution could be inaccurate due to the lack of spatial details [61]. Many studies have advocated the use of MODIS-based data, drawing consistent conclusions about the relationships between forest change and climate [16,[23][24][25]. Although their findings can be acceptable, the magnitude of the impacts may not be guaranteed.…”

Section: Evaluation Of the Impacts Of Forest Change On Temperaturementioning

confidence: 99%

“…After considering the effect of the surrounding land cover types, our study found that the magnitude of reduced warming due to afforestation varied with latitude. Ge et al [24] reported a non-radiative cooling effect from afforestation on local LST in China, and concluded that the effect of background temperature cannot be ignored, since it can influence the impacts of forest change on climate by altering biophysical processes via atmospheric feedback [19]. It should be noted that these feedbacks from either afforestation or deforestation have been considered in climate models in order to enhance the simulation performance [7,19].…”

Section: Evaluation Of the Impacts Of Forest Change On Temperaturementioning

confidence: 99%

“…Multi-temporal satellite observations have been commonly utilized to evaluate the biophysical impacts of forest change on surface temperature [15,17,24]. In particular, the space-for-time method has received the most attention and application [5,25].…”

Section: Introductionmentioning

confidence: 99%

“…This approach has been refined in order to quantify the potential effects of the hypothetical land use change (i.e., no change between land cover types) and the effects of the actual change (i.e., land cover change minus local no-change in two time periods) on surface temperature [15]. Sampling scales for the change estimation, such as moving window size, circle area, or even larger sizes, have been utilized [18,24,26]. In actuality, the conversion from forest to other types between different years would have different impacts on both the sign and magnitude of the surface temperature [17,27].…”

Section: Introductionmentioning

confidence: 99%

“…Many studies have utilized the space-for-time method to investigate local impacts based on hypothetical forest change using forest and adjacent open land types developed with coarse-resolution satellite data such as MODIS [16,[23][24][25]. These types of global land cover maps are typically characterized by low accuracy, particularly in regions with heterogeneous land cover [29].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Quantifying the Actual Impacts of Forest Cover Change on Surface Temperature in Guangdong, China

Shen

Huang

et al. 2020

Remote Sensing

View full text Add to dashboard Cite

Forest cover change is critical in the regulation of global and regional climate change through the alteration of biophysical features across the Earth’s surface. The accurate assessment of forest cover change can improve our understanding of its roles in the regulation processes of surface temperature. In spite of this, few researchers have attempted to discern the varying effects of multiple satellite-derived forest changes on local surface temperatures. In this study, we quantified the actual contributions of forest loss and gain associated with evapotranspiration (ET) and albedo to local surface temperature in Guangdong Province, China using an improved spatiotemporal change pattern analysis method, and explored the interrelationships between surface temperature and air temperature change. We specifically developed three forest change products for Guangdong, combining satellite observations from Landsat, PALSAR, and MODIS for comparison. Our results revealed that the adjusted simple change detection (SCD)-based Landsat/PALSAR forest cover data performed relatively well. We found that forest loss and gain between 2000 and 2010 had opposite effects on land surface temperature (LST), ET, and albedo. Forest gain led to a cooling of −0.12 ± 0.01 °C, while forest loss led to a warming of 0.07 ± 0.01 °C, which were opposite to the anomalous change of air temperature. A reduced warming to a considerable cooling was estimated due to the forest gain and loss across latitudes. Specifically, mid-subtropical forest gains increased LST by 0.25 ± 0.01 °C, while tropical forest loss decreased LST by −0.16 ± 0.05 °C, which can demonstrate the local differences in an overall cooling. ET induced cooling and warming effects were appropriate for most forest gain and loss. Meanwhile, the nearby temperature changes caused by no-change land cover types more or less canceled out some of the warming and cooling. Albedo exhibited negligible and complex impacts. The other two products (i.e., the GlobeLand30 and MCD12Q1) affect the magnitude of temperature response due to the discrepancies in forest definition, methodology, and data resolution. This study highlights the non-negligible contributions of high-resolution maps and a robust temperature response model in the quantification of the extent to which forest gain reverses the climate effects of forest loss under global warming.

show abstract

Section: Evaluation Of the Impacts Of Forest Change On Temperaturementioning

confidence: 99%

Section: Evaluation Of the Impacts Of Forest Change On Temperaturementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Quantifying the Actual Impacts of Forest Cover Change on Surface Temperature in Guangdong, China

Shen

Huang

et al. 2020

Remote Sensing

View full text Add to dashboard Cite

show abstract

Environmental and social impacts of carbon sequestration

Enríquez‐de‐Salamanca

2024

Integr Envir Assess & Manag

View full text Add to dashboard Cite

Climate change requires major mitigation efforts, mainly emission reduction. Carbon sequestration and avoided deforestation are complementary mitigation strategies that can promote nature conservation and local development but may also have undesirable impacts. We reviewed 246 articles citing impacts, risks, or concerns from carbon projects, and 78 others related to this topic. Most of the impacts cited focus on biodiversity, especially in afforestation projects, and on social effects related to avoided deforestation projects. Concerns were raised about project effectiveness, the permanence of carbon stored, and leakage. Recommendations include accounting for uncertainty, assessing both mitigation and contribution to climate change, defining permanence, creating contingency plans, promoting local projects, proposing alternative livelihoods, ensuring a fair distribution of benefits, combining timber production and carbon sequestration, ensuring sustainable development and minimizing leakage. A holistic approach that combines carbon sequestration, nature conservation, and poverty alleviation must be applied. The potential occurrence of negative impacts does not invalidate carbon projects but makes it advisable to conduct proper environmental impact assessments, considering direct and indirect impacts, minimizing the negative effects while maximizing the positive ones, and weighing the trade‐offs between them to guide decision‐making. Public participation and transparency are essential. Integr Environ Assess Manag 2024;00:1–27. © 2024 SETAC

show abstract

Investigating the relative contribution of anthropogenic increase in greenhouse gas and land use and land cover change to Asian climate: A dynamical downscaling study

Zhang

Guo

2022

Intl Journal of Climatology

Self Cite

View full text Add to dashboard Cite

Human activity have caused significant increase in greenhouse gas (GHG) concentration and land use and land cover change (LULCC), which can in turn affect regional and global climate. We investigate the relative contributions of increased GHG concentration and LULCC to the precipitation and surface air temperature (SAT) in Asia through three dynamical downscaling simulations with different land cover maps and GHG concentrations. The results suggest that the increased GHG concentration leads to an increase (decrease) in precipitation over East Asia and Southeast Asia (South Asia) in spring and winter.Over Southeast Asia and the Bay of Bengal, LULCC induced a significant decrease in precipitation in autumn and winter, and the change is greater than that induced by GHG. Moreover, the enhanced GHG concentration generally leads to a decrease in dry days or light rain days and an increase in heavy rain days over the land area. However, LULCC-induced changes in extreme precipitation are generally weak. The increased GHG concentration induces a significant increase of 1-3 C in the SAT throughout the year. LULCC plays a more important role than the increased GHG concentration in modulating the SAT over South Asia, Southeast Asia, and East Asia throughout the year. The increased GHG concentration and LULCC cause a broader range of changes in the daily temperature frequency. The anomalous warm event of 8-10 C increases by 1-1.5 days per season in the middle latitude regions in boreal spring due to the increased GHG concentration. LULCC also leads to an increase in high-temperature events except central Asia.

show abstract

The Nonradiative Effect Dominates Local Surface Temperature Change Caused by Afforestation in China

Cited by 50 publications

References 68 publications

Quantifying the Actual Impacts of Forest Cover Change on Surface Temperature in Guangdong, China

Quantifying the Actual Impacts of Forest Cover Change on Surface Temperature in Guangdong, China

Environmental and social impacts of carbon sequestration

Investigating the relative contribution of anthropogenic increase in greenhouse gas and land use and land cover change to Asian climate: A dynamical downscaling study

Contact Info

Product

Resources

About