Pengelolaan Sumber Daya Alam Berbasis Sains untuk Mendorong Pertumbuhan Ekonomi Berkelanjutan
Keywords:
Berbasis Sains, Pengelolaan Sumber Daya Alam (SDA), Teknologi dan InovasiAbstract
Pengelolaan sumber daya alam (SDA) berbasis sains merupakan strategi penting untuk mendorong pertumbuhan ekonomi berkelanjutan. Pendekatan ini menekankan integrasi prinsip ilmiah, teknologi, dan partisipasi masyarakat dalam pengelolaan SDA, mulai dari pemetaan, monitoring, hingga pengembangan ekonomi berbasis sumber daya lokal. Penelitian ini menggunakan metode kajian literatur (literature review) dengan menganalisis sepuluh artikel ilmiah yang relevan, baik dari konteks global maupun lokal, untuk memahami konsep, implementasi, tantangan, dan peluang pengelolaan SDA berbasis sains.Hasil kajian menunjukkan bahwa konsep pengelolaan SDA berbasis sains menekankan efisiensi sumber daya, konservasi ekosistem, dan adaptasi terhadap perubahan lingkungan. Teknologi modern seperti GIS, remote sensing, big data, bioteknologi, dan energi terbarukan mendukung pengambilan keputusan berbasis bukti serta meningkatkan produktivitas sektor pertanian, kehutanan, dan perikanan. Pendekatan ini juga memperkuat ketahanan ekonomi terhadap perubahan iklim dan risiko ekologis.
Science-based natural resource management is an important strategy for promoting sustainable economic growth. This approach emphasizes the integration of scientific principles, technology, and community participation in natural resource management, from mapping and monitoring to local resource-based economic development. This study uses a literature review method by analyzing ten relevant scientific articles, both from global and local contexts, to understand the concept, implementation, challenges, and opportunities of science-based natural resource management. The results of the study indicate that the concept of science-based natural resource management emphasizes resource efficiency, ecosystem conservation, and adaptation to environmental change. Modern technologies such as GIS, remote sensing, big data, biotechnology, and renewable energy support evidence-based decision-making and increase the productivity of the agriculture, forestry, and fisheries sectors. This approach also strengthens economic resilience to climate change and ecological risks.
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