Parameterisasi Kurva Respons NEP (Net Ecosystem Production) terhadap Cahaya pada Ekosistem Perkebunan Kelapa Sawit.

Abstract

Kurva respons cahaya digunakan untuk melihat bagaimana tanaman dapat merespons lingkungannya dalam fotosintesis. Kurva ini menghasilkan parameter-parameter kuantitatif seperti respirasi ekosistem, titik kompensasi cahaya, dan NEP maksimum, serta titik jenuh cahaya. Penelitian ini bertujuan untuk menganalisis perubahan parameter kurva respon NEP terhadap cahaya pada periode basah, kering, dan kering berasap dengan adanya perubahan variabilitas iklim di lokasi penelitian. Adapun metode penelitian yang digunakan terdiri atas penentuan periode basah, kering, dan kering berasap, analisis unsur mikrometeorologi di lokasi kajian, analisis timeseries NEP dengan PAR dan radiasi global, analisis parameter kurva respons NEP terhadap cahaya, serta uji beda nyata statistika. Berdasarkan hasil analisis, ditemukan bahwa variabilitas iklim harian dan diurnal mempengaruhi perubahan nilai parameter kurva respons NEP terhadap cahaya. Variabilitas unsur iklim tersebut di antaranya yaitu suhu udara, kelembapan udara, curah hujan, radiasi matahari, ketersediaan air tanaman, serta kondisi atmosfer akibat partikel kabut asap.

Light response curves are used to see how plants can respond to their environment in photosynthesis. This curve produces quantitative parameters such as ecosystem respiration, light compensation point, and maximum NEP, as well as light saturation point. This study aims to analyze changes in the parameters of the NEP response curve to light in wet, dry, and smoky dry periods with changes in climate variability at the study site. The research method consists of determining the wet, dry, and smoky dry periods, analyzing micrometeorological elements at the study site, analyzing NEP time-series with PAR and global radiation, analyzing NEP response curve parameters to light, and statistically significant difference test. Based on the analysis results, it was found that daily and diurnal climate variability affects the changes in the values of NEP response curve parameters to light. The variability of climate elements includes air temperature, air humidity, rainfall, solar radiation, plant water availability, and atmospheric conditions due to haze particles.