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Abstrak :
Penelitian ini bertujuan untuk menjelaskan eksistensi fungsi pelindung Habitat Relasional dalam pengembangan dan pengelolaan jaringan Warung Tegal Kharisma Bahari (WKB) di Jabodetabek. Fungsi pelindung Habitat Relasional meliputi hubungan fungsionalitas aktor dengan rasa saling percaya menciptakan hubungan pertukaran berulang dalam suatu institusi atau organisasi. Studi terdahulu menjelaskan bahwa institusi, jaringan sosial, dan kerangka kognitif, hubungan saling percaya, dan komitmen merupakan komponen-komponen penting yang dapat mempengaruhi dinamika pasar rentan terhadap ketidakpastian. Peneliti setuju mengenai hasil pembahasan studi-studi terdahulu ini. Namun ketiga kelompok studi ini lebih banyak berfokus pada analisis hubungan relasional antar perusahaan dan kurang memberikan penjelasan lebih mendalam mengenai proses terbentuknya fungsi pelindung melalui contoh yang konkret. Melalui keterbatasan studi-studi terdahulu ini, peneliti berargumen bahwa ketidakpastian juga dapat terjadi dalam suatu institusi atau organisasi sehingga membutuhkan analisis kajian mengenai fungsi pelindung yang mereka gunakan dalam menghadapi ketidakpastian dinamika pasar. Penelitian ini berfokus pada analisis eksistensi fungsi pelindung WKB Grup dalam menghadapi dinamika pasar rentan terhadap ketidakpastian dengan menekankan pada proses terbentuknya dan dampak yang dihasilkan dari keberadaan fungsi pelindung ini. Peneliti menemukan bahwa hubungan fungsional aktor dari mayoritas budaya yang sama dan rasa saling percaya menjadi fungsi pelindung WKB Grup dalam mengembangan dan mengelolaan jaringan WKB di Jabodetabek. ......This study aims to explain the existence of the Relational Habitat protective function in the development and management of the Warung Tegal Kharisma Bahari (WKB) network in Jabodetabek. Relationship protection function Habitat Relational includes the functionality that actors with mutual trust can create recurring exchange relationships within an institution or organization. Previous studies explained that institutions, social networks, and cognitive frameworks, relationships of mutual trust, and commitment are important components that can influence market dynamics that are vulnerable to vulnerabilities. Researchers agree about the results of the discussion of these previous studies. However, these three study groups focused more on the analysis of relational relations between companies and did not provide a more in-depth explanation of the process of forming a protective function through concrete examples. Through the limitations of these previous studies, the researcher argues that freedom can also occur in an institution or organization so that it requires an analysis of the study of the protective function they use in dealing with dynamic market dynamics. This research focuses on the analysis of the protective function of the WKB Group in dealing with market dynamics that are prone to pressure with pressure on the formation process and the impact resulting from the existence of this protective function. Researchers found that the functional relationship of actors from the majority of the same culture and mutual trust became the protective function of the WKB Group in developing and managing the WKB network in Jabodetabek.

Abstrak :
Situ Kenanga dan Situ Mahoni merupakan dua dari enam situ yang terletak di kawasan Universitas Indonesia, Depok yang dimanfaatkan sebagai penampung aliran air dan pengendali banjir. Kedua situ memiliki dua sumber aliran air yang berbeda dengan membawa limbah domestik dari pemukiman warga yang berpengaruh terhadap keadaan parameter lingkungan perairan dan struktur komunitas organisme, khususnya fitoplankton, di kedua situ. Penelitian telah dilakukan pada bulan Januari – Juni 2022 dengan metode pengambilan sampel fitoplankton dilakukan secara bebas menggunakan plankton net (mata jaring 20 μm). Jumlah marga fitoplankton yang ditemukan pada Situ Kenanga berjumlah 15 marga, terdiri dari Chlorophyta (7 marga dan kelompok coccoid green algae), Cyanophyta (5 marga), Bacillariophyta (2 marga) Euglenophyta (2 marga), Cyanophyta (4 marga), dan Charophyta (1 marga). Sementara itu, fitoplankton pada perairan Situ Mahoni ditemukan sebanyak 18 marga yang berasal dari divisi Chlorophyta (9 marga dan kelompok coccoid green algae), Bacillariophyta (4 marga) Euglenophyta (3 marga), dan Cyanophyta (2 marga). Rerata kelimpahan fitoplankton pada Situ Kenanga (17.316,67 plankter/L) lebih tinggi dibandingkan rerata kelimpahan fitoplankton Situ Mahoni (12.716,67 plankter/L). Rerata indeks keanekaragaman (H’) pada Situ Kenanga dan Situ Mahoni masing-masing sebesar 1,829 dan 1,234 atau tergolong pencemaran sedang. Rerata indeks keseragaman (E) Situ Kenanga dan Situ Mahoni berturut-turut sebesar 0,660 dan 0,419 yang menunjukkan Situ Kenanga memiliki sebaran individu per marga fitoplankton yang lebih merata dibandingkan Situ Mahoni. Indeks dominansi (C) Situ Kenanga (0,285) lebih rendah atau tidak adanya individu fitoplankton yang mendominasi dibandingkan pada Situ Mahoni (0,461). Analisis Structural Equation Modeling (SEM) menunjukkan bahwa parameter fisika berupa suhu serta parameter kimia berupa nitrat dan fosfat berpengaruh signifikan dan linear terhadap struktur komunitas fitoplankton di Situ Kenanga dan Situ Mahoni. ......Situ Kenanga and Situ Mahoni are two of six lakes located in the University of Indonesia area, Depok which are used as water reservoirs and flood control. Both lakes have two different sources carrying domestic waste from residential areas which affect the state of aquatic environmental parameters and community structures of organisms, especially phytoplankton, in both lakes. The research was carried out in January – June 2022 with the method of taking phytoplankton samples was done freely using plankton net (20 μm mesh size). The number of phytoplankton genera found in Situ Kenanga was 15 genera, consisting of Chlorophyta (7 genera and group of coccoid green algae ), Cyanophyta (5 genera), Bacillariophyta (2 genera) Euglenophyta (2 genera), Cyanophyta (4 genera), and Charophyta (1 genus). Meanwhile, phytoplankton in Situ Mahoni were found as many as 18 genera from the divisions of Chlorophyta (9 genera dan group of coccoid green algae), Bacillariophyta (4 genera), Euglenophyta (3 genera), and Cyanophyta (2 genera). The average abundance of phytoplankton in Situ Kenanga (17,316.67 plantkter/L) was higher than the average abundance of phytoplankton in Situ Mahoni (12,716.67 plantkter/L). The average diversity index (H') in Situ Kenanga and Situ Mahoni are 1,829 and 1,234, respectively, or classified as moderate pollution. The average evenness index (E) of Situ Kenanga and Situ Mahoni was 0,660 and 0,419, respectively, which indicated that Situ Kenanga had a more even distribution of phytoplankton individuals per genera than Situ Mahoni. The dominance index (C) of Situ Kenanga (0,285) is lower or no phytoplankton individuals dominating compared to Situ Mahoni (0,461). Structural Equation Modeling (SEM) analysis showed that physical parameters such as temperature and chemical parameters such as nitrate and phosphate had a significant and linear effect on the phytoplankton community structure in Situ Kenanga and Situ Mahoni.

Abstrak :
This book explores how ecotones between forest and grassland have changed in the past, how they are changing today and how they are likely to change in the future. Offers global insight, with a special focus on South American and Neotropical ecotones.

Abstrak :
Population of Flindersia pimenteliana (Maple Silkwood) in Indonesian Papua and Papua New Guinea is severely fragmented and experiencing a continuing decline due to habitat destruction and illegal logging. This species is very susceptible to environmental changes and at greater risk of extinction due to its small and fragmented geographic ranges and low abundance. Using maximum entropy (MaxEnt) method, the present study predicted the impact of climate change on the distribution of the species across its native distribution area. Elevation and 19 bioclimatic variables commonly used in species distribution modeling were used as predictors. Â The prediction model of the current potential distribution identified a total area of 156,214 km2 in Indonesian Papua and Papua New Guinea (18% of total land area) as suitable habitat for F. pimenteliana. Elevation and precipitation of the wettest, coldest and warmest quarters contributed most to the model. Based on the average of HadGEM2-ES and MIROC-ESM models, potential distribution projections under RCP8.5 scenario suggested a habitat gain of 16% for 2050 and 8% for 2070 in the species distribution. Whereas under RCP4.5, an average habitat gain of 7% was predicted for both 2050 and 2070. The newly suitable habitats were predicted to be found mainly in Southern and Western Highland of Papua New Guinea. Protection of these areas from habitat destruction and land use change is needed to assist F. pimenteliana find the most suitable climate for its survival.

Abstrak :
This book gives an up-to-date overview of changes in ecology, climate and use of the entire Eurasian steppe area and their effects on livelihoods of steppe people. It integrates knowledge that so far was available only in a spectrum of locally used languages.