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Biophysical effects of croplands on land surface temperature.

Nat Commun

December 2024

Department of Natural Resources and the Environment, University of Connecticut, Storrs, CT, USA.

Converting natural vegetation to croplands alters the local land surface energy budget. Here, we use two decades of satellite data and a physics-based framework to analyse the biophysical mechanisms by which croplands influence daily mean land surface temperature (LST). Globally, 60% of croplands exhibit an annual warming effect, while 40% have a cooling effect compared to their surrounding natural ecosystems.

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Carbon emissions from land-use change have accounted for approximately one-third of global carbon emissions since the 21st century. As an effective planning tool for climate change mitigation at the city scale, low-carbon zoning governance has become a hot topic in the global academic community. However, despite increasingly relevant research, this field suffers from weak foundations, single research perspectives, and limited methods.

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Climate change represents an unprecedented global public health crisis with extensive and profound implications. The Lancet Commission identified it as the foremost health challenge of the 21st century. In 2015, air pollution alone caused approximately 9 million premature deaths worldwide.

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The global seasonal cycle of energy in Earth's climate system is quantified using observations and reanalyses. After removing long-term trends, net energy entering and exiting the climate system at the top of the atmosphere (TOA) should agree with the sum of energy entering and exiting the ocean, atmosphere, land, and ice over the course of an average year. Achieving such a balanced budget with observations has been challenging.

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This study delves into the multi-scale temporal and spatial variations of soil heat flux (G) within riparian zones and its correlation with net radiation (Rn) across six riparian woodlands in Shanghai, each characterized by distinct vegetation types. The objective is to assess the complex interrelations between G and Rn, and how these relationships are influenced by varying vegetation and seasons. Over the course of a year, data on G and Rn is collected to investigate their dynamics.

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