DOI: 10.5281/zenodo.17547489
title: Dataset of Human Appropriation of Net Primary Production (HANPP) in the Agricultural Ecosystem of the Heihe River Basin, 2007–2012

description: Dataset of Human Appropriation of Net Primary Production (HANPP) in the Agricultural Ecosystem of the Heihe River Basin, 2007–2012

 

Wei Song a,b,* 

a Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, PR China;

b Key Laboratory of Land Surface Pattern and Simulation, Chinese Academy of Sciences, Beijing 100101, PR China

*Corresponding author

 

Abstract: By integrating multi-source data for 2007–2012 (crop types, NDVI time series, climate and irrigation records), we developed a 30-m resolution dataset of Human Appropriation of Net Primary Production (HANPP) for the agricultural ecosystem of the Heihe River Basin. The Miami model, CASA model and process-based parameterisation were applied. The dataset contains three core indicators: total HANPP, land-use-change-induced HANPP (HANPP_LUC) and harvest-induced HANPP (HANPP_harv), covering maize, wheat, barley, rapeseed and other major crops. Basin-wide mean HANPP decreased from 762.4 gC m⁻² in 2007 to 712.1 gC m⁻² in 2012 (−6.6 %), with crop-type conversion accounting for 84.7 % of the decline. The dataset can support sustainable management of agro-ecosystems in arid regions, assessments of food ecological security and optimisation of irrigation strategies.

Keywords: Heihe River Basin; agricultural ecosystem; HANPP; spatial heterogeneity; irrigation effect; crop type

 

1 Data sources and processing

1.1 Basic data








Data type



Period



Source



Resolution / accuracy



Core purpose





Crop-type map



2007、2012



Previous study (Liu et al., 2016)



30 m, OA > 85 %



Distinguish crops for HANPP calculation





NDVI time series



2007、2012



MODIS MOD13Q1 fused with Landsat



30m



Retrieve actual NPP (NPP_act)





Climate data



2007、2012



20 meteorological stations inside & around basin



30 m (ANUSPLIN)



Compute potential NPP (NPP_pot)





Irrigation data



2007、2012



30-m irrigation dataset interpolated



30m,R²>0.9



Supply water input for arid area, adjust NPP_pot





DEM



2007、2012



ASTER GDEM Version 2



30 m, 17 m at 95 % CI



Aid climate interpolation & solar-radiation calculation






 

1.2 Processing methods

Core indicators

Potential NPP (NPP_pot): Miami model using precipitation plus irrigation volume.

Actual NPP (NPP_act): CASA model with NDVI-derived APAR and light-use efficiency (ε).

Pre-processing: All layers projected to 30 m; 3 × 3 pixel mean filter to reduce terrain/soil noise; Pearson correlation used to validate climate/irrigation vs. HANPP.

 

2 Core results

2.1 Basin-scale HANPP change (2007–2012)








Indicator



2007



2012



Change in quantity



Rate





Mean NPP_pot (gC m⁻²)



921.4



875.3



-46.1



-5.0%





Mean NPP_act (gC m⁻²)



449.8



458.5



+8.7



+1.9%





Mean HANPP_LUC (gC m⁻²)



471.6



416.8



-54.8



-11.6%





Mean HANPP_harv (gC m⁻²)



290.7



295.3



+4.6



+1.6%





Mean total HANPP (gC m⁻²)



762.4



712.1



-50.3



-6.6%





HANPP/NPP_pot(%)



82.7



81.4



-1.3



-1.6%





HANPP_LUC/HANPP(%)



61.9



58.5



-3.4



-5.5%





HANPP_harv/HANPP(%)



38.1



41.5



+3.4



+8.9%






 

2.2 HANPP by major crop types








Crop



Total HANPP (gC m⁻²)



HANPP_LUC(gC/m²))



HANPP_harv(gC/m²





 



2007



2012



2007



2012



2007



2012





Maize



845.9



820.0



529.2



505.3



316.7



314.7





Wheat



762.6



666.5



514.6



412.7



247.9



253.8





Barley



752.5



623.0



510.2



387.4



242.3



235.6





Rapeseed



703.9



633.6



408.1



311.5



295.8



322.1





Others



744.6



689.0



454.0



396.1



290.6



292.9






 

2.3 HANPP along climate & irrigation gradients








Gradient



Class



2007 HANPP(gC/m²)



2012  HANPP(gC/m²)



Key feature





Temp(℃)



<5



576.2



551.7



Lowest in cool zones, increases with temperature





 



5-7



726.5



701.0



-





 



7-9



817.7



745.5



-





 



>9



808.6



1029.0



Highest under high temp & irrigation





Precip(mm)



<50



1219.6



1068.6



Highest in dry zones, decreases with more rain





 



50-150



745.0



783.2



-





 



>150



774.0



620.8



-





Irrigation(mm)



<200



449.0



367.2



Lowest under low irrigation, plateau after 1 000 mm





 



200-1000



888.6



824.8



-





 



>1000



1164.9



1062.7



Water waste in high-irrigation zones






 

2.4 Contribution of crop-type conversion to HANPP change








Conversion



Contribution(10⁹gC)



Share(%)



Conversion



Contribution(10⁹gC)



Share(%)





Maize → others



-72.5



65.7



Others → maize



54.7



-49.5





Wheat → others



-19.4



17.6



Rapeseed → maize



44.3



-40.1





Others → rapeseed



-15.0

 



13.5

 



Barley → maize



0.3

 



-0.3





Total



-93.6



84.7



-



-



-






 

3 Data notes and applications

3.1 Limitations

Crop parameters (e.g., light-use efficiency, harvest index) were assumed spatially uniform, possibly introducing minor local bias;

Lack of field-plot measurements for validation—simulated values should be calibrated with ground surveys;

Policy changes after 2012 (e.g., expansion of water-saving irrigation) are not reflected.

3.2 Application directions

Agronomic management: identify low-efficiency irrigation zones (> 1 000 mm) to optimise drip or demand-based watering;

Crop planning: adjust planting structure according to crop-specific HANPP, reducing high-water-use/low-return crops;

Ecological assessment: quantify human interference in agro-ecosystems, informing trade-offs between food security and conservation;

Scientific research: underpin studies on drivers and spatio-temporal patterns of HANPP in arid regions.