scholarly journals Evaluating the impact of future climate and forest cover change on the ability of Southeast (SE) Asia’s protected areas to provide coverage to the habitats of threatened avian species

2020 ◽  
Vol 114 ◽  
pp. 106307 ◽  
Author(s):  
Minerva Singh
Geomatics ◽  
2021 ◽  
Vol 1 (3) ◽  
pp. 335-346
Author(s):  
Do-Hyung Kim ◽  
Anupam Anand

Evaluation of the effectiveness of protected areas is critical for forest conservation policies and priorities. We used 30 m resolution forest cover change data from 1990 to 2010 for ~4000 protected areas to evaluate their effectiveness. Our results show that protected areas in the tropics avoided 83,500 ± 21,200 km2 of deforestation during the 2000s. Brazil’s protected areas have the largest amount of avoided deforestation at 50,000 km2. We also show the amount of international aid received by tropical countries compared to the effectiveness of protected areas. Thirty-four tropical countries received USD 42 billion during the 1990s and USD 62 billion during the 2000s in international aid for biodiversity conservation. The effectiveness of international aid was highest in Latin America, with 4.3 m2/USD, led by Brazil, while tropical Asian countries showed the lowest average effect of international aid, reaching only 0.17 m2/USD.


Author(s):  
Juan Jose Miranda ◽  
Leonardo Corral ◽  
Allen Blackman ◽  
Gregory Asner ◽  
Eirivelthon Lima

Forests ◽  
2021 ◽  
Vol 13 (1) ◽  
pp. 25
Author(s):  
Emmanuel Da Da Ponte ◽  
Monserrat García-Calabrese ◽  
Jennifer Kriese ◽  
Nestor Cabral ◽  
Lidia Perez de Perez de Molas ◽  
...  

Over the past 40 years, Paraguay has lost the majority of its natural forest cover, thus becoming one of the countries with the highest deforestation rates in the world. The rapid expansion of the agricultural frontier, cattle ranching, and illegal logging between 1987 and 2012 resulted in the loss of 27% of original forest cover, equivalent to almost 44,000 km2. Within this context, the present research provides the first yearly analysis of forest cover change in the Paraguayan Chaco between the years 1987 and 2020. Remote sensing data obtained from Landsat images were applied to derive annual forest cover masks and deforestation rates over 34 years. Part of this study is a comprehensive assessment of the effectiveness of protected areas, as well as an analysis of the degree of fragmentation of the forest. All classification results obtained accuracies above 80% and revealed a total forest cover loss of approximately 64,700 km2. Forest clearing within protected areas was not frequent; however, some natural reserves presented losses of up to 25% of their forest cover. Through the consideration of several landscape metrics, this study reveals an onward fragmentation of forest cover, which endangers the natural habitat of numerous species.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ranjit Mahato ◽  
Gibji Nimasow ◽  
Oyi Dai Nimasow ◽  
Dhoni Bushi

AbstractSonitpur and Udalguri district of Assam possess rich tropical forests with equally important faunal species. The Nameri National Park, Sonai-Rupai Wildlife Sanctuary, and other Reserved Forests are areas of attraction for tourists and wildlife lovers. However, these protected areas are reportedly facing the problem of encroachment and large-scale deforestation. Therefore, this study attempts to estimate the forest cover change in the area through integrating the remotely sensed data of 1990, 2000, 2010, and 2020 with the Geographic Information System. The Maximum Likelihood algorithm-based supervised classification shows acceptable agreement between the classified image and the ground truth data with an overall accuracy of about 96% and a Kappa coefficient of 0.95. The results reveal a forest cover loss of 7.47% from 1990 to 2000 and 7.11% from 2000 to 2010. However, there was a slight gain of 2.34% in forest cover from 2010 to 2020. The net change of forest to non-forest was 195.17 km2 in the last forty years. The forest transition map shows a declining trend of forest remained forest till 2010 and a slight increase after that. There was a considerable decline in the forest to non-forest (11.94% to 3.50%) from 2000–2010 to 2010–2020. Further, a perceptible gain was also observed in the non-forest to the forest during the last four decades. The overlay analysis of forest cover maps show an area of 460.76 km2 (28.89%) as forest (unchanged), 764.21 km2 (47.91%) as non-forest (unchanged), 282.67 km2 (17.72%) as deforestation and 87.50 km2 (5.48%) as afforestation. The study found hotspots of deforestation in the closest areas of National Park, Wildlife Sanctuary, and Reserved Forests due to encroachments for human habitation, agriculture, and timber/fuelwood extractions. Therefore, the study suggests an early declaration of these protected areas as Eco-Sensitive Zone to control the increasing trends of deforestation.


2020 ◽  
Author(s):  
Kathryn Powlen ◽  
Michael C. Gavin ◽  
Kelly W. Jones

Understanding the factors that drive protected area outcomes is critical to increase the success of global conservation efforts. Until recently, our understanding of the influence of management effectiveness has been restricted by the limited availability of standardized management data and study design limitations of prior evaluations. Here we use a quasi-experimental matching approach to test the influence of management effectiveness on forest cover change inside 46 protected areas in Mexico. We test the influence of five management categories, including context and planning, administration and finance, use and benefits, governance and social participation, and management quality, as well as an overall effectiveness score, using a subgroup analysis and an interaction term in post-matching multiple linear regression. Our results show that protected areas with higher management effectiveness have a greater effect on reducing deforestation compared to those with low management effectiveness, but that both types of protected areas experience less forest loss compared to similar unprotected areas. We find this trend in all five of the management categories and the overall score, with administration and finance scores having the greatest effect on forest loss outcomes. Our findings suggest careful design and planning, effective participation from multiple stakeholders and equal sharing of benefits, and sufficient human and financial capital can improve the effectiveness of protected areas in preventing forest loss.


2010 ◽  
Vol 278 (1712) ◽  
pp. 1633-1638 ◽  
Author(s):  
Lucas N. Joppa ◽  
Alexander Pfaff

Protected areas (PAs) dominate conservation efforts. They will probably play a role in future climate policies too, as global payments may reward local reductions of loss of natural land cover. We estimate the impact of PAs on natural land cover within each of 147 countries by comparing outcomes inside PAs with outcomes outside. We use ‘matching’ (or ‘apples to apples’) for land characteristics to control for the fact that PAs very often are non-randomly distributed across their national landscapes. Protection tends towards land that, if unprotected, is less likely than average to be cleared. For 75 per cent of countries, we find protection does reduce conversion of natural land cover. However, for approximately 80 per cent of countries, our global results also confirm (following smaller-scale studies) that controlling for land characteristics reduces estimated impact by half or more. This shows the importance of controlling for at least a few key land characteristics. Further, we show that impacts vary considerably within a country (i.e. across a landscape): protection achieves less on lands far from roads, far from cities and on steeper slopes. Thus, while planners are, of course, constrained by other conservation priorities and costs, they could target higher impacts to earn more global payments for reduced deforestation.


2020 ◽  
Vol 12 (15) ◽  
pp. 6123
Author(s):  
Changjun Gu ◽  
Pei Zhao ◽  
Qiong Chen ◽  
Shicheng Li ◽  
Lanhui Li ◽  
...  

Himalaya, a global biodiversity hotspot, has undergone considerable forest cover fluctuation in recent decades, and numerous protected areas (PAs) have been established to prohibit forest degradation there. However, the spatiotemporal characteristics of this forest cover change across the whole region are still unknown, as are the effectiveness of its PAs. Therefore, here, we first mapped the forest cover of Himalaya in 1998, 2008, and 2018 with high accuracy (>90%) using a random forest (RF) algorithm based on Google Earth Engine (GEE) platform. The propensity score matching (PSM) method was applied with eight control variables to balance the heterogeneity of land characteristics inside and outside PAs. The effectiveness of PAs in Himalaya was quantified based on matched samples. The results showed that the forest cover in Himalaya increased by 4983.65 km2 from 1998 to 2008, but decreased by 4732.71 km2 from 2008 to 2018. Further analysis revealed that deforestation and reforestation mainly occurred at the edge of forest tracts, with over 55% of forest fluctuation occurring below a 2000 m elevation. Forest cover changes in PAs of Himalaya were analyzed; these results indicated that about 56% of PAs had a decreasing trend from 1998 to 2018, including the Torsa (Ia PA), an area representative of the most natural conditions, which is strictly protected. Even so, as a whole, PAs in Himalaya played a positive role in halting deforestation.


2021 ◽  
pp. 1-10
Author(s):  
Norberto Asensio ◽  
Jakkrit Kachanan ◽  
Chanpen Saralamba ◽  
Juan Manuel José-Domínguez

Abstract The unavoidable impact of roads on arboreal fauna in protected areas has received little attention. We investigated this impact on two gibbon species in Khao Yai National Park, Thailand: two groups had home ranges traversed by roads (roadside groups) and another two lived nearby roads (interior groups). Roads partially delineated the edges of home ranges of roadside groups, and gibbons crossed them only at a few locations. Gibbons’ space use decreased near roads for roadside groups and showed road reluctance as their crossing rates were smaller than those produced by a null movement model. Generalised linear models (GLMs) indicated that a long canopy gap reduced gibbons’ crossing probability, whereas forest cover had a positive effect. A large part of the road network had a low probability of being crossed by gibbons according to GLMs, especially at areas around park headquarters. Roads were still relatively permeable to gibbon movement with a mean 35% crossing probability. The relatively short and narrow road network in the park constitutes a positive assessment of the standards of how roads should be built in protected areas. Nonetheless, this assessment might be the consequence of the park being set in a mountainous region with difficulties of road development.


1994 ◽  
Vol 21 (1) ◽  
pp. 49-56 ◽  
Author(s):  
S. Robert Aiken

As in other former British colonies, the earliest protected areas in Peninsular Malaysia were game reserves. There were twenty protected areas at the end of the colonial period (1957), and twenty-five in 1992. The outstanding achievement of the colonial period was the creation of King George V National Park (now Taman Negara), but unfortunately too much reliance was subsequently placed upon it. Protected areas were established in economically undesirable or (formerly) remote areas, largely on an ad hoc basis and mainly as a kind of ‘residual’ land-use. The protected areas have long suffered from rescissions, excisions, and encroachments, primarily for three reasons: because commercial interests have always prevailed; because of insecurity of land tenure; and because ordinary people have been denied a stake in such areas.I estimate that the ‘effective’ protected-area coverage in 1992 was probably no greater than that of about AD 1940 (when, unlike the situation today, most of the Peninsula still remained forested). The Malaysian states have been reluctant to create new protected areas, and the federal government has been unwilling to invoke certain of its constitutional powers in order to acquire state lands for national parks. Consequently, proposals for additional protected areas have produced few results. Yet owing to the rapid pace of anthropogenic forest change, the Peninsula is running out of potential sites for new protected ares.Reserved forests comprise virtually all of the Peninsula's remaining forest cover (see Fig. 1). Set aside mainly for productive and protective purposes, it is these forests, not the protected areas, that harbour most of the region's wildlife. This being the case, and keeping in mind that almost all of the wild species are forest-dwelling, it follows that wildlife conservation must come to rely more and more heavily on the reserved forests. Studies conducted by Johns (e.g. 1983, 1986, 1987) at Sungai Tekam, Pahang, on the impact of logging on wildlife, reveal that most species can adapt to the altered conditions of logged forests; or, more precisely, that this appears to be the case following a single logging operation. But this topic, interesting and important as it is, takes us beyond the scope of this paper.The matter of species adaptability, however, brings to mind a more general theme, which is the need to implement the principles of conservation everywhere, not just in specially protected areas. There is, in short, no effective alternative to rational land-use planning and to making conservation an integral part of all production processes.


2017 ◽  
Vol 1 (02) ◽  
pp. 100-113
Author(s):  
OLANI GANFURE JALETA ◽  
HABTE JEBESSA DEBELLA

Jaleta OG, Jebessa H. 2018. The impact of large scale agriculture on forest and wildlife in Diga Woreda, Western Ethiopia. Asian J Agric 1: 100-113. Large-scale agriculture uses agricultural machinery to mechanize the practices of agriculture. It is one of the leading causes of the loss of forest and wildlife in many countries including our country, Ethiopia. Information on forest cover change that occurred from 1986 to 2006 in Diga Woreda/district (Woyessa Dimtu, Bekiltu Gudina, and Melka Beti Jirma Kebeles) was compared with the present time using Geographic Information System (GIS). The objective of this study was to investigate the impact of large-scale agriculture on forest cover change by using the satellite image of the study area and other data collecting methods such as household's interview, KI, FGD and observation (survey) to detect its effect on wildlife. The study employed both qualitative and quantitative data as well as primary and secondary data sources to collect necessary information. The information providers were purposively selected from sample ‘kebeles' based on their age and experiences, that is, to get a detail and accurate information elders and experts who have lived in the area for many years and who know more how and when the Hanger-Didessa state farm had established were selected. The state farm covered a large area, that is, about four districts such as Sasiga, Diga, Arjo and Guto Gida. For this study, Diga was selected because of its socio-economic characteristics, deforested (degraded) area, local loss of larger mammals and forest cover changes observed in the district. The descriptive research method was used to assess community's knowledge, perception, skill, and feeling about the impact of Local Study Area (LSA) on forest and wildlife in the area. Land cover change analysis for 1986 to 2006 showed that the land cover of the study area is classified as grazing, wood, agricultural, settlement and degraded lands. The result of the analysis showed that agriculture, settlement and degraded lands increased from 19.68% to 32.72%, 12.12% to 26.85% and 2.76% to 4.72% respectively in an expense of a decrease in the grass (grazing) and woodlands. Therefore, LSA is the primary cause for the loss of forest and wildlife in the study area.


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