This paper reviews and comments on the evaluation methods of the recreational value of natural landscape resources, pointing out that the current popular TCM method and CVM method both rely too much on the market prediction conclusion and cannot truly reflect the recreational value, and putting forward the idea, specific operation steps and calculation methods of evaluating the recreational value of natural landscape resources with tourism environmental capacity.

The reduction of biodiversity and the decline in wildlife populations are urgent environmental issues with devasting consequences for ecosystems and human health. As a result, the protection of wildlife and biodiversity has emerged as one of humanity’s greatest goals, not only for protecting and maintaining human health but also for environmental, economic, and social well-being. In recent years, people have become increasingly aware of the importance and effectiveness of wildlife conservation efforts alongside environmental protection measures, sustainable agricultural practices and non-harmful production procedures and services. This study describes the development and implementation of a labeling scheme for wildlife and biodiversity protection for products or services. The label is designed to encourage the adoption of sustainable and environmentally friendly production methods and services that will contribute to biodiversity conservation and the harmonic coexistence of human-wildlife. Moreover, using a case study approach, the research presents an innovative information system designed to streamline the label-awarding process, ensuring transparency and efficiency. The established system evaluates the sustainability practices and measures implemented by businesses, with a focus on honey production in this case. Additionally, the study explores the broader social implications of the label, particularly its potential to engage consumers and promote awareness of biodiversity conservation.

Asian Infrastructure Investment Bank’s president Mr. Jin Liqun shares with JIPD Editor-in-Chief, Dr. Gu Qingyang, his passion for infrastructure finance, as he reflects upon his goal of steering an environmentally friend and corruption-free AIIB toward building social-impacting infrastructure across Asia.
From governmental departments to international financial institutes, Mr. Jin Liqun has undertaken almost every essential role in finance. With his vast experience across the private and public sectors, particularly in multilateral development banks, Mr. Jin Liqun currently serves as Asian Infrastructure Investment Bank (AIIB)’s first President since its founding in 2016, following a stint as Secretary-General of the Multilateral Interim Secretariat created to establish the bank. Beginning from his two decades of governmental experience at the Chinese Ministry of Finance, rising from the rank of Deputy Director General to Vice Minister, Mr. Jin was then called to serve as Vice President, and then Ranking Vice President, of the Asian Development Bank, and later as Alternate Executive Director for China at the World Bank and at the Global Environment Facility. Mr. Jin had also served as Chairman of China International Capital Corporation Ltd., China’s first joint-venture investment bank, in addition to serving as Chairman of the Supervisory Board of the sovereign wealth fund China Investment Corporation and as Chairman of the International Forum of Sovereign Wealth Funds.

Identify and diagnosis of homogenous units and separating them and eventually planning separately for each unit are considered the most principled way to manage units of forests and creating these trustable maps of forest’s types, plays important role in making optimum decisions for managing forest ecosystems in wide areas. Field method of circulation forest and Parcel explore to determine type of forest require to spend cost and much time. In recent years, providing these maps by using digital classification of remote sensing’s data has been noticed. The important tip to create these units is scale of map. To manage more accurate, it needs larger scale and more accurate maps. Purpose of this research is comparing observed classification of methods to recognize and determine type of forest by using data of Land Cover of Modis satellite with 1 kilometer resolution and on images of OLI sensor of LANDSAT satellite with 30 kilometers resolution by using vegetation indicators and also timely PCA and to create larger scale, better and more accurate resolution maps of homogenous units of forest. Eventually by using of verification, the best method was obtained to classify forest in Golestan province’s forest located on north-east of country.

The fresh dried pollen of grape and seedless grape varieties were used as the research material. Each cultivar was stored at room temperature, 5 C, 0 C, -18 C and -40 C respectively. Sucrose 200g / L + boric acid 50mg / L + agar 8g / L as the nutrient substrate, and the comparative study on the germination and culture of the nuclear breed and the seedless cultivar. The results showed that the pollen viability decreased with the increase of storage time at different temperatures. The pollen viability decreased at -18 C and -40 , and the pollen viability decreased at the same temperature The There was a significant difference in pollen viability between different cultivars at the beginning of storage, and the pollen viability of the kernel breed was higher than that of the seedless grape.