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Mapping Human Impact on Net Primary Productivity Using MODIS Data for Better Policy Making

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Abstract

Tropical forests support core biological, hydrological and socioeconomic functions essential to life on earth. An assessment based on the Human Appropriation of Net Primary Production (HANPP) could help reduce exploitation of these forests, increasing their adaptive capacity and lessening their vulnerability to losses of Net Primary Productivity (NPP). Here we apply HANPP to the study area, based on Land Use Impact variability between the forest and contiguous roads and plantations by application of Geographical Information Systems of Protected Area Tools. We used the human activity index and biomass extraction from forest to study the effects of population pressure. The final land use impact map showed that the largest area of forest land (37 %) is now in urban and agricultural use, and that these areas are located within 0–3 km of the forest land. NPP with human intervention showed, total NPP of the forest decreased by 7.4 %, from 104.4 to 96.6 gCm−2 month−1. This study developed a new HANPP model and enhanced the usefulness of HANPP indicators by demonstrating the impact of human activity inside the forest. Because NPP changes most in higher–productivity areas, suitable policies should be enforced to avoid further human interference in the area.

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Acknowledgments

This study was funded by the Ministry of Education of Malaysia, the Ministry of Higher Education of Malaysia and the Universiti Putra Malaysia through research grant no. 5524108. We thank the Institute of Social Ecology, Klagenfurt University, Vienna, for Global patterns of socioeconomic biomass flows in the year 2000 (online data set), to the Forestry Department of Peninsular Malaysia for forestry data layers, and the Department of Survey and Mapping of Malaysia for human activity data layers. We also thank LP DAAC for the MODIS data for calculating NPP obtained through the online Data Pool at the NASA LP DAAC, USGS/Earth Resources Observation and Science (EROS) Centre, Sioux Falls, South Dakota. Finally, we thank the Erasmus Mundus for MOVER program, that funded by the European Commission and a partnership between the University of Murcia, Spain and the Universiti Putra Malaysia for providing the study grant.

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  1. Institute of Tropical Forestry and Forest Products, Universiti Putra Malaysia (UPM), 43400 Serdang, Selangor, Malaysia

    Sheriza Mohd Razali, Ahmad Ainuddin Nuruddin & Hazandy Abdul Hamid

  2. Facultad de Biologia, Universidad de Murcia, Avda. Teniente Flomesta, 5 – 30003, Murcia, Spain

    Sheriza Mohd Razali

  3. Departamento de Ecología y Hidrología, Universidad de Murcia, Avda. Teniente Flomesta, 5, 30003, Murcia, Spain

    Arnaldo Aitor Marin Atucha

  4. Faculty of Forestry, Universiti Putra Malaysia (UPM), 43400, Serdang, Selangor, Malaysia

    Ahmad Ainuddin Nuruddin & Hazandy Abdul Hamid

  5. Faculty of Engineering, Universiti Putra Malaysia (UPM), 43400, Serdang, Selangor, Malaysia

    Helmi Zulhaidi Mohd Shafri

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Razali, S.M., Atucha, A.A.M., Nuruddin, A.A. et al. Mapping Human Impact on Net Primary Productivity Using MODIS Data for Better Policy Making. Appl. Spatial Analysis 9, 389–411 (2016). https://doi.org/10.1007/s12061-015-9156-0

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